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. 2026 Aug 5;41(4):daag103. doi: 10.1093/heapro/daag103

Interventions to promote critical health literacy: a scoping review

Martin Kalteis 1, Anke Steckelberg 2, Sandro Zacher 3, Jana Hinneburg 4,✉
PMCID: PMC13440308  PMID: 42555370

Abstract

Critical health literacy (CHL) is regarded essential for critically appraising health information and making informed decisions. However, evidence on CHL-promoting interventions is low, leaving unclear how such interventions are implemented and evaluated, and which conceptualizations of CHL they draw on. This scoping review systematically identified and characterized CHL interventions, including target populations and settings, theoretical and methodological underpinnings, CHL dimensions addressed, evaluation approaches and reported implementation barriers and facilitators. We searched MEDLINE, CINAHL, APA PsycInfo, PSYNDEXplus and ERIC to September 2025 and supplemented this with backward citation searching. Publications reporting interventions with a stated or implicit CHL focus were included and synthesized narratively. Database searches yielded 3715 records and citation searching identified 117 additional records. After screening, 81 publications describing 53 distinct interventions were included. Publication activity increased from 2016 onwards, peaking between 2021 and 2025. Interventions were conducted in 19 countries and were concentrated in educational settings, mostly targeting school and university students. Most interventions focused on appraisal skills and individual action (e.g. informed decision-making), while broader CHL dimensions such as understanding social determinants of health and collective action were rarely addressed. Barriers included limited time and resources, technical infrastructure constraints and high demands on teachers, while facilitators included leadership support, training or coaching and high-quality learning materials. To strengthen CHL’s preventive potential in health promotion, future interventions should prioritize large-scale effectiveness and follow-up studies, while accounting for context-sensitive adaptation, implementation conditions and broader operationalizations of all CHL dimensions across settings.

Keywords: critical health literacy, critical health competence, critical thinking, health literacy, health intervention, scoping review


Contribution to Health Promotion.

  • Critical health literacy (CHL) helps people to evaluate health information, understand how social and living conditions shape health and act on health issues individually and with others.

  • This scoping review maps 53 interventions across countries and settings that aim to strengthen CHL.

  • Interventions predominantly addressed appraisal and individual decision-making, whereas social determinants and collective action were rarely integrated.

  • Key implementation barriers were limited time and resources as well as an insufficient technical infrastructure. Facilitators included training programmes for deliverers, structured materials and organizational support.

  • The findings inform the development and implementation of more comprehensive and equity-oriented CHL interventions.

Introduction

Critical thinking is widely recognized as a core educational goal of the 21st century and a pre-requisite for active citizenship (OECD 2019). During crises such as the SARS-CoV-2 pandemic, rapidly circulating information can shape individual behaviour and public responses, while simultaneously increasing exposure to misinformation (Rovetta and Bhagavathula 2020, Tsao et al. 2021). Although quality criteria have been defined (such as Good practice guidelines for health information, 2016) and the Guideline Evidence-based Health Information (Lühnen et al. 2017) calls for transparency, systematic evidence retrieval and clear communication of benefits and harms, a lot of printed and online health information still falls short (Osman et al. 2022, Zacher et al. 2025, 2026, Kasper et al. 2026). Analyses of health websites repeatedly show limited comprehensibility and selective or biased presentation of key information (Zhang et al. 2015, Daraz et al. 2019). In this context, the ability to critically assess the trustworthiness of health information becomes essential (Tangcharoensathien et al. 2020, Borges do Nascimento et al. 2022).

Limited health literacy (HL) is common even in high-income countries such as the USA, UK, Germany and Switzerland. In population-based surveys conducted in these countries, nearly half of the participating adults report difficulties in understanding and applying health information in everyday life. This challenge is even more pronounced in relation to critical information appraisal, where around two-thirds of the respondents report difficulties (Public Health England and UCL Institute of Health Equity 2015, de Gani et al. 2021, Schaeffer et al. 2021, Ringle et al. 2025). Lower HL has been associated with higher hospitalization rates, more frequent emergency care use, lower uptake of preventive services and vaccinations, reduced medication adherence and poorer comprehension of medicine labels and health information. Among older adults, limited HL is also related to poorer health status and increased mortality (Berkman et al. 2011). HL is also shaped by cultural and situational demands and depends on equitable access to education and lifelong learning opportunities (Nutbeam and Muscat 2021).

Against this background, critical health literacy (CHL) is often discussed as a potential lever for improving health equity and participation. However, empirical evidence on the association between CHL and downstream outcomes, including health behaviours, remains heterogeneous and not unidirectional. While some studies report beneficial associations, others show mixed or context-dependent patterns, and a few also indicate negative associations. This suggests that the current evidence base remains too limited to support firm conclusions about the role of CHL in shaping health behaviours (Færevaag et al. 2026).

Accordingly, CHL may be less adequately captured by behavioural outcomes alone and more appropriately understood in relation to people’s capacities to critically engage with health information and make informed health-related decisions. CHL therefore involves higher-order cognitive and social capacities that enable people to critically analyze information and use it to gain greater control over health-related decisions and life circumstances (Nutbeam 2000). Benkert and Abel (2023) define CHL as the ability of an individual or a community to reflect on health-promoting factors and processes and to use the outcomes of this reflection for health-promoting individual and collective action. Building on this definition, they specify three core components: critically appraising health information, understanding the social determinants of health, and the capacity for individual and collective action (Benkert and Abel 2023). At an individual level, the action component of CHL involves the ability to critically appraise information in order to make informed decisions and meaningfully participate in shared decision-making (Muscat et al. 2021). CHL has also been linked to scientific literacy, understood as the capacity to use scientific knowledge critically, reflect on science-related issues and draw evidence-informed conclusions (OECD 2012). At the same time, no universally accepted definition of HL exists to date (Islertas 2022). Beyond HL frameworks, CHL has also been linked to scientific literacy, health information literacy, media literacy, evidence-based practice and critical thinking (Chinn 2011, Ringle et al. 2025). These concepts can therefore be understood as important, yet partial, components of CHL. Individually, however, they do not fully capture the conceptual breadth and functional scope of CHL.

Promoting CHL is thus of high relevance at both individual and societal levels. However, two important gaps remain: there is limited clarity regarding which competencies constitute CHL and limited evidence on how these can be effectively fostered. Accordingly, few interventions are explicitly designed to promote CHL (de Wit et al. 2017, Sykes and Wills 2018, Rubinelli et al. 2024). For instance, Stormacq et al. (2020) reported that HL interventions rarely build skills to assess the credibility and quality of health information, especially among disadvantaged groups. Similarly, Nutbeam et al. (2018) noted that intervention objectives are often not clearly defined and tend to target functional and interactive HL rather than CHL-specific content.

Objectives

The aim of this scoping review was to systematically identify and characterize interventions intended to promote CHL. The review focused in particular on interventions with an explicit link to health information, given that the critical appraisal was considered a necessary aspect of developing CHL. We examined target populations and settings, the theoretical and methodological frameworks underpinning intervention development and implementation, the CHL dimensions addressed, evaluation approaches and reported facilitators and barriers to implementation.

The review questions (RQ) were

  • RQ1: Which interventions have been developed and implemented to promote CHL and in which target groups and settings?

    • RQ1a: Which theoretical underpinnings and frameworks have informed the development?

    • RQ1b: Which educational goals are employed in these interventions?

    • RQ1c: Which educational and implementational strategies are used for CHL interventions?

    • RQ1d: Which dimensions of CHL are addressed by these interventions?

    • RQ1e: To what extent have the interventions been evaluated and what approaches or measures have been used to assess their outcomes?

  • RQ2: Which barriers and facilitators related to promoting CHL are reported?

Methods

A scoping review was selected because the evidence base is conceptually diverse and spread across multiple disciplines, making an exploratory mapping of intervention types and contexts appropriate. The scoping review was conducted in accordance with current Joanna Briggs Institute (JBI) guidance for scoping reviews (Peters et al. 2020, Aromataris et al. 2024). Reporting follows the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) (Tricco et al. 2018). Citation searching was reported in line with the Terminology, Application, and Reporting of Citation Searching (TARCiS) statement (Hirt et al. 2024). An a priori protocol was developed and registered on the Open Science Framework (OSF) in September 2025 (Kalteis et al. 2025). This study was based exclusively on literature. Therefore, no ethics approval was required.

Eligibility criteria

To determine eligibility, we applied the population-concept-context framework as recommended for scoping reviews (Peters et al. 2020). We included studies involving any population group, without restrictions by age, gender, health status, socioeconomic position, education or cultural background. Eligible evidence sources reported interventions, programmes or strategies that were explicitly promoting CHL or addressed one or more CHL dimensions proposed by Benkert and Abel (2023), including critical appraisal of health information, understanding social determinants of health, or enabling individual and collective action. Given the conceptual overlap between CHL and related constructs, interventions were assessed according to their content rather than their label. Inclusion was based on the extent to which intervention objectives or content aligned with one or more CHL dimensions. We included all settings and delivery environments without restrictions by geography or institutional context (e.g. schools, higher education, healthcare organizations, community settings or digital environments). No restrictions were applied regarding publication year or language. For records not published in English or German that appeared potentially eligible, we used machine translation (DeepL Translate SE, 2025) to support screening and data charting. We included primary empirical research of any design and relevant grey literature, provided sufficient information was available to characterize the intervention and its evaluation. We excluded systematic reviews, meta-analyses and other review formats to avoid secondary selection and potential double counting of primary studies. We also excluded conference abstracts, blogs and media reports due to insufficient methodological detail for mapping intervention characteristics and evaluation.

Search strategy

The search aimed to identify both published and unpublished evidence and followed the JBI-recommended nine step approach (Peters et al. 2020, Aromataris et al. 2024). First, we conducted an initial limited search in MEDLINE (via PubMed) to identify relevant records and to analyze keywords in titles, abstracts and associated indexing terms. Secondly, we developed a comprehensive search strategy built around two search components: (i) CHL, including related terminology and (ii) interventions, capturing programmes, educational strategies, training formats and implementation activities aimed at fostering CHL. The search strategy was adapted to each database (see Supplementary File S1).

The systematic database search was conducted up to 26 September 2025 in MEDLINE (PubMed), CINAHL (EBSCO), APA PsycInfo (Ovid), PSYNDEXplus (Ovid) and ERIC (IES). These databases were selected to reflect the multi-disciplinary nature of CHL interventions across medicine, public health, nursing and health services research, psychology and the social sciences and education research. To enhance search quality and reproducibility, the MEDLINE search strategy and its adaptations were reviewed using the PRESS guideline (McGowan et al. 2016).

Grey literature searching was conducted to mitigate publication bias and identify evidence not indexed in bibliographic databases. We searched doctoral theses and dissertations in the electronic theses online service and open access theses and dissertations and searched OpenGrey. As OpenGrey was discontinued in 2021, searches were conducted using its archived catalogue.

Given the field’s terminological heterogeneity and inconsistent indexing, we complemented database and grey literature searches with backward citation searches and manually checking reference lists. Backward citation searching was conducted between 29 October 2025 and 10 November 2025. Seed references (see Supplementary File S1) comprised all included full texts identified through database searching and additional relevant evidence syntheses identified during screening. All potentially relevant records identified through backward citation searching entered the same screening workflow as database-derived records.

Study selection process

All records identified through database searching, grey literature searches and citation searching were imported into Citavi 6 (Swiss Academic Software, Zurich, Switzerland) and duplicates were removed. Screening was conducted using Rayyan (Ouzzani et al. 2016). Prior to formal screening, the review team piloted the eligibility criteria on a subset of records to calibrate interpretation and ensure consistent application.

Two reviewers (M.K. and J.H. or S.Z.) independently screened titles and abstracts. Full texts were obtained for all records considered potentially eligible and were assessed independently by two reviewers against the eligibility criteria. Records without an abstract were retained for full-text screening to minimize erroneous exclusions due to incomplete bibliographic information. Disagreements at any stage were resolved through discussion and, if required, consultation with a third reviewer (A.S.).

Data extraction and analysis

We developed a structured data extraction template in Microsoft Excel and an accompanying extraction guide to support consistent charting. Data were extracted by one reviewer (M.K.) and independently checked by at least one other reviewer (J.H. or S.Z.) using a structured data extraction template in Microsoft Excel. Discrepancies were resolved through discussion and, if required, consultation with a third reviewer (A.S.). Disagreements concerning the assignment of CHL dimensions primarily occurred in cases where interventions did not explicitly refer to CHL concepts. All disagreements were resolved through discussion and consensus of all authors.

Extracted data were organized in three domains: First, we captured study and sample characteristics, including author and year, country, study design and population. Secondly, we charted intervention-specific information, including intervention name and focus, setting, delivery mode, educational and implementation strategies, theoretical or methodological underpinnings, implementation features, evaluation approaches and measures. Thirdly, we extracted reported barriers and facilitators related to intervention implementation.

To support consistent classification across heterogeneous interventions, we mapped targeted outcomes and content to CHL dimensions using the component model proposed by Benkert and Abel (2023), distinguishing critical appraisal of health information, understanding of social determinants of health, and individual and collective action.

Synthesis followed a descriptive approach appropriate for scoping reviews (Tricco et al. 2018, Peters et al. 2020). We summarized extracted data using frequency counts and structured narrative synthesis aligned with the review questions. We tabulated intervention characteristics, target populations and settings, delivery formats and evaluation approaches. Reported barriers and facilitators were collated across interventions and synthesized narratively.

Results

Results are reported narratively and structured according to the review questions. Given the volume of included publications, findings are synthesized and condensed to maintain readability. Where multiple publications described the same intervention, these were consolidated at the intervention level and assigned a shared intervention identification number (I-ID). Multiple coding was permitted where interventions addressed more than one aspect of data charting.

Database searches yielded 3715 records and citation searching identified another 117. After screening, 81 studies were included, describing 53 distinct interventions. The list of excluded records is provided in Supplementary File S1. The study selection process is shown in the PRISMA flow diagram (Fig. 1 adapted from Page et al. 2021).

Figure 1.

PRISMA flow diagram of the study selection process

PRISMA flow diagram (adapted from Page et al. 2021).

RQ1: Which interventions have been developed and implemented to promote CHL and in which target groups and settings?

Characteristics of included articles

Across the 53 interventions, a total of 20 956 participants were reported. Interventions were conducted in 19 countries, most frequently in the USA (n = 17), followed by Germany (n = 8). Five interventions were conducted in Norway and four interventions each were conducted in Australia and Taiwan. Two interventions were conducted in each of Uganda, Kenya, Rwanda, Ireland, New Zealand, Canada and UK, while single interventions were located in Italy, Spain, Austria, Brazil, France, China and Malaysia. A complete overview of all included sources and their allocation to I-IDs is provided in Table 1.

Table 1.

Characteristics of included studies.

I-ID: Author, year: Country Study design Intervention Teaching/learning format N Target group Setting
I-01 Nsangi et al. 2020b Norway, Uganda, Kenya, Rwanda Development study IHC intervention for primary schools Live N/A Students
Teachers
Primary school
Nsangi et al. 2017 Uganda cRCT IHC intervention for primary schools Live 120 clusters
10 183 students
152 teachers
Students
Teachers
Primary school
Nsangi et al. 2020a Uganda Follow-up cRCT IHC intervention for primary schools Live 120 clusters
6787 students
143 teachers
Students
Teachers
Primary school
Nsangi et al. 2019 Uganda Process evaluation IHC intervention for primary schools Live 60 clusters
84 teachers
Students
Teachers
Primary school
I-02 Semakula et al. 2019a Uganda Development study IHC podcast Online, asynchronous N/A Parents
Participants: researchers, journalists, parents, health communication professionals, media editors, radio producers, actors, musicians
Primary school
Semakula et al. 2017 Uganda RCT IHC podcast Online, asynchronous 675 parents Parents Primary school
Semakula et al. 2020 Uganda Follow-up RCT IHC podcast Online, asynchronous 523 parents Parents Primary school
Semakula et al. 2019b Uganda Process evaluation IHC podcast Online, asynchronous N/A Parents Primary school
I-03 Alderighi et al. 2022 Italy Pilot study IHC intervention for primary schools Live 46 students
2 teachers
Students
Teachers
Primary school
Rasoini et al. 2025 Italy Mixed-method-pilot study IHC intervention for primary schools Live 133 students
8 teachers
Students
Teachers
Primary school
I-04 Jofra et al. 2023 Spain Mixed-method-pilot study IHC intervention for primary schools Live 143 students
6 teachers
Students
Teachers
Primary school
I-05 Rosenbaum et al. 2023 Norway, Uganda, Kenya, Rwanda Development study IHC intervention for secondary schools Live N/A Students
Teachers
Secondary school
Chesire et al. 2023 Kenya cRCT IHC intervention for secondary schools Live 80 clusters,
3362 students
80 teachers
Students
Teachers
Secondary school
Chesire et al. 2025 Kenya Follow-up cRCT IHC intervention for secondary schools Live 80 clusters,
2446 students
67 teachers
Students
Teachers
Secondary school
Chesire et al. 2024 Kenya Process evaluation IHC intervention for secondary schools Live 96 students
110 teachers
18 parents
14 others
Students
Teachers
Participants: parents/guardians, decision-makers, school leadership
Secondary school
Mugisha et al. 2023 Rwanda cRCT IHC intervention for secondary schools Live 84 clusters,
3199 students
89 teachers
Students
Teachers
Secondary school
Mugisha et al. 2025 Rwanda Follow-up cRCT IHC intervention for secondary schools Live 84 clusters,
2419 students
70 teachers
Students
Teachers
Secondary school
Mugisha et al. 2024 Rwanda Process evaluation IHC intervention for secondary schools Live 110 students
10 teachers
5 parents
12 others
Students
Teachers
Participants: parents/guardians, decision-makers, school leadership
Secondary school
Ssenyonga et al. 2023 Uganda cRCT IHC intervention for secondary schools Live 80 clusters
4853 students
80 teachers
Students
Teachers
Secondary school
Ssenyonga et al. 2025 Uganda Follow-up cRCT IHC intervention for secondary schools Live 80 clusters,
3433 students
75 teachers
Students
Teachers
Secondary school
Ssenyonga et al. 2024 Uganda Process evaluation IHC intervention for secondary schools Live 103 students
10 teachers
11 parents
13 others
Students
Teachers
Participants: parents/guardians, decision-makers, school leadership
Secondary school
Oxman et al. 2025 Uganda, Kenya, Rwanda Qualitative evaluation IHC intervention for secondary schools Live 30 students
2 teachers
8 parents
39 others
Students
Teachers
Participants: parents/guardians, stakeholders, school leadership
Secondary school
I-06 Deliv et al. 2023 Ireland Development study Animated video on evidence syntheses Online, asynchronous 14 students Students
Teachers
Internet
I-07 Oxman et al. 2021 Norway Case study Evidence-based practice course in healthcare Live 60 University students of health science Higher education
Elvsaas et al. 2024 Norway Mixed-method-study Evidence-based practice course in healthcare Live 446 University students of health science Higher education
I-08 Elvsaas et al. 2023 Norway Mixed-method-study Digital IHC game application (serious game) Online, asynchronous 193 University students Online
I-09 Li et al. 2025 Ireland Development study IHC online cancer learning resource Online, asynchronous 33 Cancer patients, health professionals and researchers Higher education
I-10 Austvoll-Dahlgren et al. 2012 Norway RCT Web portal for evidence-based information and HL Online, asynchronous 96 Parents Internet
Austvoll-Dahlgren et al. 2013 Norway Development study Web portal for evidence-based information and HL N/A N/A Public Internet
I-11 Steckelberg et al. 2009a, 2009b Germany Pilot study EbM course Live 45 Students Secondary school
I-12 Meyer et al. 2007 Germany Pilot study EbM course Live 121 Diabetes educators Diabetes centre
I-13 Berger et al. 2010 Germany Pilot study EbM course Live 161 Self-help groups, patients and representatives Higher education
Berger et al. 2013 Austria Pilot study EbM course Live 142 Self-help groups, patients and representatives
participants: patients, patient counsellors, consumer representatives, health professionals
N/A
I-14 Hinneburg et al. 2020 Germany Pilot study EbM course Live and online, asynchronous 29 Physicians, medical students
Participants: physicians and health professionals
Medical association
I-15 Rahner et al. 2022 Germany Pilot study EbM course Live 8 Teachers for health professions Vocational school for health professions
I-16 Zacher et al. 2022 Germany Pilot study Web tool for risk communication Online, asynchronous 22 Public
Participants: lay people, health professionals
Internet
I-17 Muscat et al. 2015 Australia Evaluation and pilot study Shared decision-making training Live 26 People with limited HL Adult education provider
Muscat et al. 2017a Australia Interview study Shared decision-making training Live 22 People with limited HL Adult education provider
Muscat et al. 2017b Australia Interview study Shared decision-making training Live 11 teachers People with limited HL Adult education provider
Muscat et al. 2019 Australia cRCT Shared decision-making training Live 308 People with limited HL Adult education provider
McCaffery et al. 2019 Australia cRCT Shared decision-making training Live 308 People with limited HL Adult education provider
I-18 Muscat et al. 2021 Australia Case study SUCCESS app (supporting people with chronic kidney disease in shared decision-making) Online, asynchronous N/A Patients with chronic kidney disease Internet
I-19 Serbim et al. 2020 Brazil Quasi-experimental study Alpha Health Program (CHL course) Live 42 Older adults Primary care
I-20 Scull et al. 2018 USA cRCT Media Aware: sexual health programme for young adults Online, asynchronous 184 University students College
I-21 Aghazadeh et al. 2020 USA Pilot study HL programme Live 365 students
5 teachers
Students Primary school
I-22 Smart et al. 2016 USA Pilot study Information Literacy Workshop Live 20 Students of nursing Higher education
I-23 Aspinall et al. 2012 USA Pilot study HL workshop Live 63 Older adults Residential aged care facility
I-24 Bauquier et al. 2024 France Case study Patient–researcher training Live 11 People living with or with a history of cancer Higher education
I-25 Bay et al. 2017 New Zealand Mixed-methods study School–university partnership programme Live 210 Students Primary school
I-26 Berr et al. 2021 USA Case study Remote summer programmes for Students Online, synchronous and asynchronous 21 University students Internet
I-27 Bloss et al. 2022 USA Case study Information literacy training Online, asynchronous 3 FG Health-related social workers Internet
I-28 Chang et al. 2025 Taiwan Pilot-RCT Virtual reality-based dementia prevention programme Online, asynchronous 60 Older adults with mild cognitive impairment Nursing homes, day care centres, community centres
I-29 Chang and Chen 2023 Taiwan Quasi-experimental mixed-method-study Web-based drug prevention programme Online, asynchronous 1065 Adults Internet
I-30 Chen 2019 China Mixed-method-study (dissertation) WeChat app to improve HL Online, synchronous 389
8 FG
Mothers Internet
I-31 Cobban and Seale, 2003 Canada Evaluation study Course to improve information literacy Live 40 University students Higher education
I-32 Goodman et al. 2010 USA Evaluation study CARES-Fellow-Training (Public health research training) Live 19 Minority groups and medically underserved populations Library
Goodman et al. 2012 USA Evaluation study CARES-Fellow-Training (Public health research training) Live 19 Minority groups and medically underserved populations Library
Coats et al. 2015 USA Mixed-method-study CARES-Fellow-Training (Public health research training) Live 44 Minority groups and medically underserved populations Higher education
I-33 Earl et al. 2019 USA Case study HL module Live N/A Pharmacy Students Higher education
I-34 Fiordelli et al. 2023 Switzerland Pilot study Training course on CHL and scientific literacy Live 97 Students Secondary school
I-35 Greenberg and Wang, 2012 USA Case study Online health videos for public and school-based health education Online, asynchronous 20 Students Secondary school
I-36 Keselman et al. 2015 USA Interview study Youth programme for health leadership and responsibility Live 10 Underprivileged students Secondary school
I-37 Keselman et al. 2019 USA Case study Health information, leadership and empowerment programme Live 78 University students Adult education provider
I-38 König et al. 2022 Germany Evaluation study E-learning course to improve (digital) HL Online, asynchronous 323 Students Secondary school
I-39 Lin et al. 2021 Taiwan Quasi-experimental study Drug use prevention course Live 648 Students Secondary school
I-40 Nazri 2019 Malaysia Editorial case study Workshop on scientific literacy and HL Live 106 Students Secondary school
I-41 Peralta et al. 2022 Australia Mixed-method-case study (Critical) HL training course Live and online, synchronous 9 Teachers Secondary school
Peralta et al. 2025 Australia Case study (Critical) HL training course Live and online, synchronous 3 Teachers Secondary school
I-42 Roux et al. 2023 Australia Quasi-experimental mixed-method-study My Vital Cycles®, ovulatory menstrual health programme Live and online, asynchronous 94 Female students Secondary school
I-43 Stassen et al. 2020 Germany cRCT Web-based programme to improve HL Online, asynchronous 532 Students Vocational school
I-44 Sykes and Wills 2018 U.K. Case study CHL community learning programme Live 24 Parents Community
I-45 Vamos et al. 2012 USA Case study ‘Women's Health’ undergraduate course Live N/A Female university students Higher education
I-46 van Moorsel 2001 USA Case study Mini-Medi-School Live N/A Public Higher education
I-47 Weng et al. 2025 Taiwan Quasi-experimental study Interactive digital drug prevention programme Online, asynchronous 168 Students Internet
I-48 Dixon et al. 2023 New Zealand Interview study Health education curriculum Live 25 Students Secondary school
I-49 Milne et al. 1996 U.K. Case study Consumer health workshop Live 84 Health counsellors Workplace
I-50 Murray et al. 2020 USA Case study Training course for peer navigators Live N/A Peer navigators Community
I-51 Smith et al. 2019 Australia RCT Web or DVD plus booklet to improve HL and decisional certainty Online, asynchronous 153 Adults aged >65 years Internet
I-52 Tsai et al. 2018 Taiwan Quasi-experimental study HL programme Live 223 Immigrants Community
I-53 Gould et al. 2010 USA Case study Just Health Action, programme to promote health equity Live — Students Secondary school
Mogford et al. 2011 USA Case study Just Health Action, programme to promote health equity Live — Students Secondary school

n = number of participants; FG = focus groups; SDM = shared decision-making; IHC = informed health choices; N/A = not applicable/not available; cRCT = cluster randomized controlled trial; RCT = randomized controlled trial

The included interventions span 29 years (1996–2025), with a marked increase in first publications from 2016 onwards. Using the first publication per intervention for temporal classification, most interventions were first published between 2021 and 2025 (n = 21) and between 2016 and 2020 (n = 18).

Case study designs were most common (n = 16), followed by pilot studies (n = 11), mixed-methods studies (n = 8) and development studies of interventions (n = 5). Experimental designs included cluster-randomized trials (n = 5), randomized controlled trials (n = 3) and quasi-experimental studies (n = 5). Follow-up assessments were reported for three interventions and process evaluations were identified for three interventions.

Target groups

Most interventions targeted school students (n = 19; I-01, I-03–I-06, I-11, I-21, I-25, I-34–I-36, I-38–I-40, I-42, I-43, I-47–I-48, I-53) and, partly in parallel, teachers (n = 8; I-01, I-03–I-06, I-15, I-32, I-41). Parents or caregivers were addressed in two school-linked formats (I-02, I-10) and one community-based learning offer (I-44). In higher education, university students were a common target group (n = 9; I-07, I-08, I-14, I-20, I-26, I-31, I-33, I-37, I-45).

Five interventions targeted specific professional groups (I-12, I-14, I-15, I-22, I-27), including diabetes educators, physicians and medical students, teachers for health professions, nursing students and health-related social workers. Fourteen interventions targeted patient or public groups outside institutional education, including people with low HL (I-17), chronic kidney disease patients (I-18), cancer survivors (I-24), older adults (I-19, I-23, I-28, I-51), mothers (I-30), peer navigators (I-50), migrants (I-52), minority or medically underserved populations (I-32) and general public audiences (I-16, I-29, I-46).

Overall, seven interventions explicitly addressed mixed target groups (n = 7; I-01, I-09, I-10, I-13, I-14, I-16, I-26), including combinations of school or university students and teachers, public and caregiver audiences and multi-interest-holder formats involving patients or consumer representatives together with health professionals.

Settings

As interventions could be assigned to more than one setting, the categories reported below are not mutually exclusive. Interventions were most frequently implemented in formal education settings, particularly primary and secondary schools (n = 19; I-01–I-06, I-11, I-21, I-25, I-34–I-36, I-38–I-42, I-48, I-53) and universities or colleges (n = 12; I-07, I-09, I-13, I-20, I-22, I-24, I-26, I-31–I-33, I-45–I-46). Internet-based settings were likewise frequent (n = 12; I-06, I-08, I-10, I-16, I-18, I-20, I-26–I-27, I-29–I-30, I-47, I-51). Less common settings comprised vocational schools (n = 2; I-15, I-43), community-based settings (n = 6; I-17, I-28, I-37, I-44, I-50, I-52) and healthcare or care contexts (n = 6; I-12, I-14, I-19, I-23, I-28, I-49).

RQ1a: Which theoretical underpinnings and frameworks informed intervention development?

Overall, 51 interventions referred to at least one theoretical, conceptual or model-based foundation, while only a small number of interventions (n = 2; I-26, I-45) did not report any identifiable theoretical underpinning.

HL models and conceptualizations of CHL

Nutbeam’s (2000) model of functional, interactive and critical HL was the most frequently cited framework (n = 14; I-17, I-18, I-28, I-30, I-34, I-39, I-41, I-42, I-44, I-47, I-48, I-51, I-52, I-53).

Less frequently, interventions referred to the integrated model of HL by Sørensen et al. (2012) (n = 2; I-38, I-52), the Institute of Medicine framework (2004) (n = 1; I-33) or specific conceptualizations of CHL (Benkert and Abel 2023) (n = 1; I-41).

In addition, 10 interventions referred to HL in general without specifying an underlying model (n = 10; I-10, I-11, I-13, I-14, I-15, I-21, I-24, I-25, I-43, I-50).

Taken together, these findings suggest that many interventions were informed by concepts overlapping with CHL, while explicit use of CHL frameworks remained limited.

CHL-related concepts

Evidence-based medicine (EbM) was the most frequently cited framework for critical appraisal-related competencies (n = 15; I-07, I-12, I-14, I-15, I-20, I-22, I-24, I-27, I-31, I-32, I-33, I-41, I-49, I-50, I-51), typically referring to established steps such as formulating questions, searching for evidence, critically appraising information and applying findings to decision-making (Sacket et al. 1996).

Scientific literacy frameworks (OECD 2017) were also commonly applied (n = 5; I-07, I-08, I-16, I-20, I-37), alongside critical thinking frameworks (OECD 2024) in education (n = 4; I-08, I-16, I-20, I-41).

In addition, several interventions drew on related approaches to critical appraisal, including specific appraisal frameworks or tools (n = 6; I-07, I-08, I-20, I-33, I-41, I-47) as well as concepts of risk and statistical literacy (n = 4; I-13, I-16, I-33, I-47).

Behavioural and implementation-related frameworks

Behavioural theories were applied in a small subset of interventions, most commonly Social Cognitive Theory (Bandura 1986) (n = 2; I-10, I-39), the Theory of Planned Behaviour (Ajzen 1991) (n = 3; I-16, I-29, I-42) and the Health Belief Model (Rosenstock et al. 1988) (n = 1; I-52). These were often complemented using specific constructs such as self-efficacy (Bandura 1977) (n = 3; I-10, I-39, I-52).

Methodological development approaches and frameworks

Iterative human-centred design approaches were most prominently applied within the Informed Health Choices (IHC) (Chalmers et al. 2018) interventions (n = 6; I-01, I-02, I-03, I-04, I-05, I-06), characterized by repeated rounds of prototyping, user testing and refinement.

Structured intervention development frameworks, most notably the Medical Research Council (MRC) framework for complex interventions (Skivington et al. 2021), were explicitly referenced in a smaller number of interventions (n = 5; I-10, I-14, I-16, I-29, I-42). In addition, one intervention applied the ADDIE instructional design model (n = 1; I-16).

Participatory or co-design approaches were reported in twelve interventions (n = 12; I-01, I-03, I-05, I-06, I-17, I-27, I-29, I-35, I-41, I-43, I-49, I-52), involving interest-holders such as target groups, teachers or patients through qualitative methods or advisory structures.

Adaptation or transfer of existing programmes or curricula was described in 17 interventions (n = 17; I-02, I-03, I-04, I-05, I-11, I-13, I-15, I-20, I-23, I-27, I-30, I-32, I-44, I-45, I-48, I-51, I-53).

RQ1b: Which educational goals are employed in these interventions?

Most interventions aimed to strengthen the ability to locate evidence-based health information and to appraise information sources, e.g. by teaching search strategies, evaluation of information sources and use of reliable information resources (n = 30; I-02, I-05, I-06, I-07, I-08, I-10, I-11, I-13, I-14, I-15, I-20, I-24, I-26, I-27, I-30, I-31, I-32, I-33, I-35, I-36, I-38, I-40, I-41, I-44, I-46, I-48–I-51, I-53). Many interventions also addressed elements of informed and shared decision-making, such as asking questions, weighing benefits and harm, incorporating values and preferences, and structuring decisions (n = 29; I-01, I-02, I-03, I-05, I-06, I-09, I-10, I-11, I-13, I-14, I-15, I-17, I-18, I-19, I-20, I-21, I-22, I-23, I-28, I-29, I-30, I-39, I-41, I-47, I-48, I-50, I-51, I-52, I-53). A third common focus was improving understanding of research, science and evidence, including study design basics, bias, interpreting results and the role of systematic reviews (n = 22; I-02, I-04, I-05, I-06, I-07, I-08, I-10, I-11, I-14, I-15, I-24, I-26, I-30, I-32, I-40, I-41, I-44, I-46, I-49, I-50, I-51, I-53). Critical appraisal of health information was explicitly named as a goal in 20 interventions, e.g. recognizing unreliable claims, judging the evidence base and weighing benefits and harm of prevention or treatment options (n = 20; I-01, I-02, I-04, I-05, I-07, I-08, I-10, I-14, I-15, I-17, I-28, I-29, I-30, I-33, I-38, I-39, I-47, I-49, I-51, I-36). Less frequently, interventions targeted statistical and risk competencies, such as understanding probabilities, absolute versus relative risks and interpreting effect estimates (n = 10; I-13, I-16, I-17, I-20, I-25, I-33, I-36, I-39, I-47, I-50). Additional goals related to media and communication literacy, including reflection on media messages and media-related influences on decisions (n = 9; I-02, I-05, I-07, I-08, I-13, I-20, I-21, I-30, I-47), and to health rights, social participation or the social determinants of health (n = 8; I-10, I-17, I-19, I-32, I-37, I-44, I-52, I-53).

RQ1c: Which educational and implementation strategies are used for CHL interventions?

Integration into existing curricula vs. stand-alone interventions

Interventions were most commonly embedded in teaching curricula as structured units, teaching materials or modules (n = 18; I-01, I-03, I-04, I-05, I-07, I-11, I-21, I-25, I-30, I-34, I-36, I-37, I-38, I-41, I-42, I-44, I-48, I-53). Stand-alone interventions were widely used as workshops, training sessions and short courses (n = 28; I-01, I-03–I-05, I-07, I-11–I-17, I-21–I-24, I-31–I-32, I-34, I-38, I-39, I-40, I-42, I-45, I-47, I-49, I-50, I-52, I-53). Where specified, these formats were commonly delivered as multi-session or modular programmes with sequential units (n = 10; I-07, I-14–I-15, I-17, I-24–I-25, I-32–I-33, I-38, I-40).

Delivery modalities

Regarding modality, delivery was coded as in-person (face-to-face), online (web-based/online) or blended learning (combining face-to-face and online components). Across all interventions, delivery most often occurred in-person (n = 29; I-01, I-04, I-11, I-12, I-13, I-15, I-17, I-19, I-21, I-22, I-23, I-24, I-25, I-28, I-32, I-33, I-34, I-36, I-37, I-39, I-40, I-44, I-45, I-46, I-48, I-49, I-50, I-52, I-53), followed by online-only formats (n = 17; I-06, I-08, I-09, I-10, I-16, I-18, I-20, I-26, I-27, I-29, I-30, I-35, I-38, I-43, I-47, I-49, I-51) and blended learning approaches (n = 7; I-03, I-05, I-07, I-14, I-31, I-41, I-42). One intervention relied on a device-based audio format delivered via a portable media player (I-02).

For interventions with an online component (online-only and blended; n = 24; I-03, I-05, I-06, I-07, I-08, I-09, I-10, I-14, I-16, I-18, I-20, I-26, I-27, I-29, I-30, I-31, I-35, I-38, I-41, I-42, I-43, I-47, I-48, I-51), delivery was predominantly online-asynchronous (n = 20; I-05, I-06, I-07, I-08, I-09, I-10, I-14, I-16, I-18, I-20, I-27, I-29, I-31, I-35, I-38, I-41, I-42, I-43, I-47, I-51). Online-synchronous delivery was rare (I-03, I-30) and one intervention explicitly combined synchronous and asynchronous elements (I-26). In addition, one intervention used an immersive virtual-reality headset-based learning environment (I-28), implemented in a face-to-face setting with facilitated reflection.

Teaching methods and didactic concepts

Across interventions, teaching methods most commonly comprised exercises, facilitated discussions and guided learning activities (n = 32; I-03, I-04, I-07, I-10–I-15, I-18, I-19, I-22–I-25, I-27, I-28, I-31–I-33, I-35, I-37, I-39, I-41–I-44, I-47, I-49–I-51, I-53). Podcasts, explanations via videos and animations were reported in nine interventions (n = 9; I-02, I-06, I-19, I-27, I-29, I-35, I-45, I-47, I-48), whereas game- and simulation-based approaches were comparatively rare (n = 5; I-08, I-19, I-28, I-39, I-47). Learning was commonly organized through a combination of group-based activities (e.g. work and discussions in small groups; n = 31; I-01–I-05, I-07, I-11, I-15, I-17, I-19–I-23, I-30, I-32, I-34, I-35, I-37, I-39, I-41–I-42, I-44–I-47, I-49–I-53) and individual work or self-study phases (n = 15; I-05–I-08, I-14, I-29, I-32–I-33, I-37, I-43–I-45, I-50, I-51, I-53).

Role-play and scenario-based practice activities were used in five interventions (n = 5; I-05, I-33, I-39, I-47, I-50). Case- or problem-based learning approaches were reported in three interventions (n = 3; I-15, I-16, I-34), while flipped-classroom elements were described in two interventions (n = 2; I-07, I-34).

Duration

Intervention duration varied widely, ranging from micro-learning formats to multi-month programmes. Micro-learning modules are very brief, self-contained learning units that typically focus on a single key concept or skill and can often be completed within a few minutes, although no universally agreed duration threshold exists (e.g. short podcast episodes, I-02 or a self-guided online tool on risk reduction I-16). Several interventions reported clearly defined multi-week or longer delivery schedules, including semester-based implementations or sequences over several weeks (n = 6; I-05, I-17, I-21, I-39, I-42, I-53), for example curriculum-based delivery during a school term (I-05) or structured longer-running programme implementation (I-42).

RQ1d: Which dimensions of CHL are addressed by these interventions?

Following Benkert and Abel (2023), CHL was conceptualized across three core components: critical appraisal of health information, understanding of social determinants of health, and individual and collective action. Interventions were first classified by the CHL dimensions they addressed. Most interventions focused on the critical evaluation dimension (n = 51) and addressed, for example, the critical evaluation of health claims, evidence and misinformation (e.g. I-11). This was followed by the individual and collective action dimension (n = 42), with interventions aiming to strengthen informed decision-making, participation and empowerment in health-related issues in everyday life and society (e.g. I-17 and I-48). Explicit attention to social determinants of health was comparatively rare (n = 5) and focused on understanding how social, economic and environmental conditions influence health (e.g. I-44 and I-53) whereas interventions addressing individual and collective action aimed to strengthen informed decision-making, participation and empowerment with health-related issues in everyday life and society (e.g. I-17 and I-48). Secondly, we examined how many CHL dimensions each intervention covered. Most interventions addressed two dimensions (n = 35), typically combining critical appraisal with action/decision-making. Thirteen interventions focused on a single dimension (predominantly appraisal; two interventions addressed action/decision-making only: I-21 and I-23) and five interventions covered all three dimensions (n = 5; I-03, I-37, I-44, I-48, I-53).

RQ1e: To what extent have the interventions been evaluated and what approaches or measures have been used?

Evaluation approaches commonly combined summative outcome assessment with formative or process-oriented components designed to identify usability and context requirements and to inform adaptation. Quantitative questionnaire-based assessments were most frequently reported (n = 18; I-01, I-04–I-05, I-09–I-11, I-13–I-15, I-18, I-20, I-24, I-31–I-33, I-34, I-41, I-52), often complemented by qualitative interviews or focus groups (n = 19; I-02–I-03, I-05, I-07, I-09–I-10, I-12–I-13, I-15, I-16, I-18, I-20, I-24, I-32–I-33, I-34, I-37, I-42, I-49, I-52). Observational approaches, such as structured session or classroom observations, were reported for seven interventions (I-01, I-03, I-05, I-15, I-21, I-39, I-42). Monitoring procedures were described in isolated cases (I-01, I-24). Regarding evaluation outcomes, assessments most frequently addressed acceptability, comprehensibility, feasibility, satisfaction (n = 8; I-08, I-10, I-16, I-20, I-24, I-32, I-34, I-49), fidelity and implementation aspects (n = 8; I-01–I-02, I-08, I-13, I-24, I-27, I-52, I-53) and prototype testing within development (n = 5; I-01, I-05, I-08–I-10). Based on formative findings, documented adaptations were reported for eight interventions (I-01–I-05, I-14, I-16, I-17).

Measurement instruments were explicitly reported for 25 interventions, comprising 21 distinct measurement approaches. Within the IHC interventions, the claim evaluation tools were those used most consistently (Austvoll-Dahlgren et al. 2017). In the other studies, outcomes were assessed using a mix of validated instruments and intervention-specific tools, such as the Critical Health Competence test (Steckelberg et al. 2009a, 2009b) and an EbM competence test (Berger et al. 2010). Broader HL instruments were used in some interventions, for example the HL questionnaire (Osborne et al. 2013) and the newest vital sign (Weiss et al. 2005), alongside study-specific questionnaires aligned with targeted outcomes.

Economic evaluation was rarely reported. Only two interventions provided explicit cost or resource information (I-01, I-06), including a quantified school-level estimate for one IHC programme.

RQ2: Which barriers and facilitators related to promoting CHL are reported?

Facilitators were reported for 19 of 53 interventions (I-01–I-05, I-07, I-09, I-14–I-17, I-21, I-24, I-31–I-33, I-34, I-41, I-42) and barriers for 21 of 53 interventions (I-01–I-05, I-07, I-09, I-11, I-13–I-17, I-21, I-24, I-31, I-32, I-34, I-41, I-42, I-53). Across these studies, we identified nine recurring facilitators and eight recurring barriers related to promoting and implementing CHL interventions. Facilitators most frequently reported were structured materials, preparation and support of deliverers, participatory development, contextual fit, interactive formats and digital/multi-media elements, whereas barriers frequently related to time and workload, technical hurdles, group-management challenges, language and literacy demands, organizational constraints, limited motivation, pandemic-related disruptions and insufficient clarity or tailoring of content. Table 2 provides a detailed overview of all facilitators and barriers, including rate of recurrence, intervention IDs, and illustrative examples.

Table 2.

Barriers and facilitators for implementing CHL interventions.

Main facilitator (n; I-IDs) Illustrative examples
Structured, ready-to-use materials
(n = 9; I-01, I-03–I-05, I-14–I-17, I-42)
  • I-03: Students/teachers highlighted the comic and exercise book with realistic examples and engaging activities.

  • I-15: Facilitators included supplementary course materials and provision of work materials.

  • I-17: Teachers described the programme as very clear and well structured, and learners valued the pocket card as a practical resource for future reference.

Training/coaching and support for deliverers
(n = 9; I-01, I-03–I-05, I-14–I-15, I-17, I-21, I-42)
  • I-01: Support from school authorities and colleagues helped secure adequate time and permission to teach the lessons.

  • I-15: Qualified teachers and ‘time off for the training’ were described as conducive to implementation.

  • I-17: Deliverers reported that structured preparation and support enabled delivery for learners with limited literacy.

Participatory or user-centred development
(n = 7; I-01–I-03, I-05, I-09, I-16, I-17)
  • I-02: User testing informed iterative adaptations of the intervention materials, including the selection of preferred language versions and improvements to structure and sequencing.

  • I-16: Using an everyday-life vignette to introduce the problem increased participants’ curiosity and motivation by making the topic immediately relatable and noticeable.

  • I-17: Pre-implementation qualitative interviews with students closely matching the target group generated insights into relevant beliefs and expectations, which were used to tailor the shared decision-making programme.

Contextual fit and relevance
(n = 8; I-01, I-03–I-05, I-15, I-21, I-24, I-42)
  • I-05: Teachers and students experienced the lessons as relevant for everyday life and other subjects.

  • I-24: High contextual relevance to participants’ lived experience supported involvement in the programme.

  • I-42: Participants emphasized that presenting potentially complex science through realistic, relatable scenarios increased identification with the content and supported perceived usefulness.

Interactive/activating pedagogy
(n = 11; I-01–I-02, I-05, I-07, I-14–I-15, I-17, I-32–I-34, I-41)
  • I-01: Group activities and discussions were described as attractive for learners.

  • I-14: Interactive instructional design was appreciated because it promoted exchange and discussions.

  • I-32: Participants reported that small-group activities were helpful and beneficial, and they rated the interactive session format as supportive for involvement and learning.

Digital/multi-media elements improving access/clarity
(n = 8; I-02, I-07, I-14, I-16, I-31, I-34, I-41, I-42)
  • I-02: Podcast delivery and language options supported accessibility and understanding.

  • I-08: A serious-game format was perceived as attractive and helped students practise critical thinking about health claims by actively evaluating the evidence behind the claims.

  • I-41: Digital resources complemented live delivery and supported access to teaching content.

Organizational support and enabling conditions
(n = 6; I-01, I-03–I-05, I-21, I-42)
  • I-01: Leadership support enabled protected time and implementation conditions for teachers.

  • I-05: Teachers reported that delivering the lessons in ‘projector mode’ provided a practical framework and made classroom implementation more feasible.

  • I-42: Organizational support helped integrate programme components and peer-based teaching.

Motivation and perceived usefulness
(n = 8; I-01–I-02, I-05, I-07, I-17, I-24, I-32, I-42)
  • I-01: The children enjoyed the lessons and looked forward to them, reflecting positive attitudes towards the materials.

  • I-32: Participants reported satisfaction with programme logistics/structure and willingness to continue.

  • I-42: Participants reported that the information was useful and helpful and that it increased their comfort and confidence over time.

Cooperation and networks
(n = 7; I-01, I-04–I-05, I-14, I-32, I-41–I-42)
  • I-01: Support from school leadership and colleagues facilitated implementation by enabling scheduling within the timetable, allocating time for preparation and endorsing participation.

  • I-32: Fellows reported willingness to collaborate with peers on pilot projects.

  • I-42: Including medical students as peer educators was perceived as particularly valuable; many participants described the peer-based teaching component as one of the programme’s key strengths.

Main barrier (n; I-IDs) Illustrative examples
Time constraints and workload
(n = 7; I-01–I-05, I-13, I-42)
  • I-01: Teachers reported that limited lesson time and competing curricular demands constrained delivery, leaving insufficient time to cover all key concepts and activities as intended.

  • I-04: Teachers described time constraints within the school day/curriculum.

  • I-13: Participants reported time constraints and limited opportunities for follow-up exchange/support.

Technical and digital hurdles
(n = 11; I-01–I-03, I-05, I-07, I-14–I-17, I-31, I-41)
  • I-03: Remote sessions faced technical issues and reduced interaction.

  • I-07: Students reported usability and navigation problems within the learning management system and they suggested clearer guidance for using the platform.

  • I-14: The learning management system caused some technical problems.

Teaching and group-management challenges
(n = 12; I-01–I-05, I-07, I-11, I-14–I-17, I-32)
  • I-05: Teachers found class discussions hard to organize when students used computers.

  • I-09: Facilitators reported challenges in moderating discussions and sustaining active participation in larger or heterogeneous groups.

  • I-32: Managing group processes and participation posed challenges during training sessions.

High language and literacy demands
(n = 8; I-05, I-07, I-09, I-11, I-13, I-15, I-17, I-41)
  • I-09: Terminology/readability required refinement to improve comprehension.

  • I-11: Differing proficiency levels meant original English-language articles were not feasible for most students.

  • I-13: Reported barriers included difficulty reading English-language publications, limited access to databases and full-text articles, organizational constraints and time pressure.

Organizational and structural constraints
(n = 12; I-01–I-05, I-07, I-09, I-13–I-14, I-21, I-41, I-53)
  • I-05: Curriculum and timetable constraints limited feasibility; schools lacked time to teach all lessons.

  • I-14: Organizational barriers (e.g. limited institutional embedding) constrained implementation conditions.

  • I-53: Structural school conditions influenced what could realistically be delivered.

Low motivation or initial reluctance
(n = 7; I-02–I-05, I-07, I-17, I-53)
  • I-05: Resistance to certain delivery modes led to adaptations (e.g. dropping student-computer mode).

  • I-21: Teachers noted that varying motivation and buy-in across classes influenced uptake and required additional efforts to encourage participation.

  • I-42: Some participants reported initial hesitancy to engage, improving only over time.

Pandemic-related disruptions
(n = 3; I-03, I-41, I-42)
  • I-03: COVID-19 restrictions caused absences and intermittent remote learning.

  • I-41: Planned follow-up professional development sessions were not possible due to lockdowns.

  • I-42: Programme delivery and engagement were affected by pandemic conditions and restrictions.

Insufficient clarity or tailoring of content
(n = 8; I-01–I-02, I-05, I-09, I-14, I-17, I-24, I-34)
  • I-02: Some listeners confused claims and key messages, indicating need for clearer explanations.

  • I-14: Feedback indicated that the content was initially too abstract for some participants; adding a structured introductory input with practical examples was necessary to improve comprehension and applicability.

  • I-17: Early iterations lacked a clear, contextualized explanation of shared decision-making and how to use the core questions in real consultations.

n = number of interventions; I-ID = intervention identification number.

Within IHC-related interventions, an additional barrier concerned tensions between intervention messages and participants’ prior beliefs or experiences, which could trigger scepticism or resistance. IHC interventions also repeatedly reported that understanding and teaching the underlying key concepts was perceived as demanding by learners and or teachers (n = 4; I-01, I-03–I-05).

Discussion

This scoping review mapped 53 distinct interventions (in 81 publications) that aimed to promote CHL. Interventions were implemented mostly in educational settings and primarily targeted critical appraisal of health information and individual action, such as informed decision-making. In contrast, explicit attention to social determinants of health and collective action was rare. Delivery relied typically on curriculum-embedded units or modular trainings, increasingly supplemented by digital elements. Reported barriers and facilitators highlighted the finding that implementation is strongly shaped by practical conditions such as time, resources, technical infrastructure and the preparation and support of those delivering the intervention.

The rise in interventions may reflect the growing conceptual differentiation of CHL from 2010 on. At the same time, some earlier interventions predate contemporary CHL definitions and align more closely with adjacent constructs, such as EbM-related competence gains (Milne and Oliver 1996), making classification within narrowly defined CHL less straightforward.

For the IHC interventions, development was consistently described as iterative and person-centred, including prototyping, repeated testing and revision and was supported by dedicated development publications (n = 6; I-01–I-06). In comparison, many other interventions were not newly developed but rather were adaptations or extensions of existing curricula or formats (n = 17; I-02–I-05, I-11, I-13, I-15, I-20, I-23, I-27, I-30, I-32, I-44, I-45, I-48, I-51, I-53). However, modifications, their rationales and contextualization were often only rudimentarily described. For five interventions development information was not extractable (I-24, I-26, I-36, I-40, I-50). These deficits in reporting hinder replication transfer to new contexts and realistic assessment of implementation potential. However, the detailed reporting of development processes within the IHC programme should be interpreted in light of its extensive publication record. For many other interventions, only a single publication was available. Consequently, the greater level of detail available for the IHC programme may partly reflect differences in publication coverage rather than differences in intervention development itself. Moreover, because the IHC programme represents a substantial proportion of the available evidence on intervention development, conclusions regarding the value of iterative, person-centred development should be interpreted with caution and cannot necessarily be generalized to the broader CHL intervention literature. These patterns point to a broader methodological issue that is central to the MRC framework (Skivington et al. 2021): intervention identification and development should be treated as explicit, reportable stages that underpin later feasibility testing, evaluation and implementation. However, evidence from other fields suggests that references to MRC guidance have increased over time, while reporting quality remains heterogeneous (Goodwin et al. 2019). In health promotion research in general, deficits in intervention development are increasingly highlighted as a central challenge for methodological quality (Dichter 2022). A key reason is the lack of explicit programme theory. Logic models and theories of change can make assumptions about mechanisms and context interactions explicit, thereby strengthening adaptation, implementation and evaluation (Skivington et al. 2021, Dichter 2022). In CHL interventions, this appears particularly relevant because many programmes operate at the interface of education, health communication and health systems, where contextual demands are complex and variable. Without transparent programme theory, however, it often remains unclear which intervention components drive effects, how outcomes are expected to emerge and which elements are transferable across settings, thereby limiting the interpretability, adaptation and scalability of CHL interventions.

Notwithstanding these shortcomings, it is encouraging that a relevant share of interventions (n = 13) explicitly incorporated target-group perspectives during development, for example via focus groups, interviews, advisory boards or co-design elements. This is broadly consistent with MRC recommendations to involve relevant interest-holders across phases (Skivington et al. 2021). Yet the depth of participation and its influence on concrete design decisions often remained unclear, limiting conclusions about how needs-based and context-specific interventions ultimately were.

A further interpretive point concerns the frequent implicitness of CHL framing. In most interventions, the CHL link was inferred from aims and content rather than explicitly labelled as CHL. This reflects a recurrent problem in the literature. De Wit et al. (2017) and Romanova et al. (2024) reported that the term ‘critical health literacy’ yielded no database records when combined with additional search terms and therefore could not be used as a search concept, requiring CHL to be assessed via inclusion criteria and often identified implicitly in included interventions. Our findings are consistent with this pattern.

Content-wise, interventions were heavily concentrated on an ‘appraisal-centred’ interpretation of CHL, which corresponds to ongoing criticism that CHL is often reduced to an individual cognitive performance of higher order (Chinn 2011, Sykes et al. 2013, 2025). Within the included articles, appraisal-oriented and individual decision-making interventions predominated, reflecting a strong influence of EbM, scientific literacy and critical thinking. These competencies are central to CHL. The identified lower proportion of interventions that take social determinants and collective action into account may be attributable to various reasons. On the one hand, this might be because the search strategy was primarily oriented towards interventions related to health information appraisal and various synonymous and related concepts were included in the search strategy, whereas no explicit search terms for social determinants and collective action were used. This may also suggest that these dimensions are not consistently associated with CHL, otherwise, they would have been identified. On the other hand, collective action and social determinants may remain less developed in intervention practice. This raises broader questions about whether CHL promotion is framed mainly as strengthening individuals or also as shaping enabling environments.

This narrowing down has implications beyond conceptual clarity. If CHL is framed primarily as an individual responsibility for ‘correct’ decisions, a normative shift of accountability to individuals becomes plausible (Sykes et al. 2013). In disadvantaged living conditions, translation of competence into action may remain constrained despite improved knowledge or attitudes. Accordingly, reducing CHL primarily to individual competencies may narrow attention to personal decision-making capacities, while underestimating the influence of institutional arrangements, social conditions and information environments on health-related practices. This stands in tension with health promotion-oriented conceptualizations of CHL, which emphasize empowerment, social determinants of health and collective action. Moreover, considering established barriers to EbM implementation (Halalau et al. 2021, Ehrenbrusthoff et al. 2022, Wang et al. 2023b), a further tension may arise: CHL competencies may be constrained in clinical contexts where evidence-based practices are applied inconsistently.

The diversity of outcome measures identified in this review reflects a broader challenge within the field: While several instruments have been developed to capture specific dimensions of CHL, no consensus exists regarding a comprehensive measure of the construct (Benkert and Abel 2023). Moreover, Chinn (2011) has argued that CHL encompasses context-dependent cognitive, social and political dimensions which may not be adequately captured by standardized measurement alone. As a result, evaluation approaches often emphasize particular components of CHL, most commonly appraisal-related competencies, while broader dimensions may remain under-represented.

Finally, our findings on educational implementation align with educational research on critical thinking. CHL aims were most often realized through structured curricular or course formats using activating methods such as guided exercises and discussion, occasionally supplemented by problem-oriented or simulation elements. Prior syntheses similarly emphasize the value of structured instructional sequences that integrate active learning, practice and feedback for supporting critical thinking (Oxman et al. 2024, Prokop-Dorner et al. 2024). In addition, the most common barriers and facilitators in our review, especially time and resource constraints and the importance of training and support for deliverers, are consistent with implementation research on school programmes, which emphasizes leadership prioritization, protected time and supportive staff structures as pre-requisites for sustained quality of delivery (Herlitz et al. 2020, Ponsford et al. 2022, Prenger et al. 2022, Ulla and Poom-Valickis 2023).

Economic evaluation was rarely reported, which corresponds to the generally limited health-economic evidence for (C)HL interventions. While some international analyses suggest that school-based prevention programmes can yield positive economic effects under certain conditions (Stielke et al. 2019, Ekwaru et al. 2021), CHL-specific cost-effectiveness evidence remains scarce.

Overall, the interventions included in this review reflect a predominantly individualized and appraisal-centred operationalization of CHL. However, there is an urgent need for a clear operationalization of the concept of CHL.

Implications

Because most interventions were implemented in school settings, schools appear to be a central lever for promoting CHL early, with low threshold and population-wide reach. A key advantage is that existing educational infrastructures can be used, which may reduce implementation burden when compared with newly established services. However, scalability depends on context fit and transferability. However, the predominance of formal education settings also raises questions about context fit, transferability and the broader scope of CHL promotion. Community-based, healthcare organizational, system-level and policy-oriented interventions were comparatively rare, suggesting that CHL remains largely framed as an educational task directed at individuals rather than a broader societal or institutional responsibility. This may limit the transformative potential of CHL, particularly for populations with limited access to formal education or those facing structural barriers to participation and informed health action.

The conceptual heterogeneity observed across interventions suggests a need for greater transparency regarding the conceptual foundations of CHL interventions. Future studies should report more explicitly which CHL dimensions are addressed and how these are conceptually and operationally defined. Greater conceptual clarity and transparency may facilitate comparability across studies and contribute to the longer-term development of a more coherent understanding of CHL and its intervention approaches.

Evaluation and measurement approaches were heterogeneous, spanning study-specific instruments and established measures. However, none of the approaches captured CHL comprehensively across dimensions, and instruments relying on self-report have been repeatedly criticized because they reflect perceived rather than demonstrated competence and are vulnerable to bias (Steckelberg et al. 2017). The field therefore needs CHL-specific outcome concepts and measurement approaches that represent relevant dimensions and allow valid and comparable assessment across contexts.

Future studies should also systematically assess potentially unintended or ambivalent effects of CHL interventions, such as overload, increased uncertainty or interpersonal conflict when CHL competencies are applied in healthcare encounters, particularly in vulnerable groups. Emerging frameworks on the potential adverse effects of interventions to improve critical thinking about health choices may provide a useful starting point for such assessments (Oxman et al. 2025).

Most included interventions were evaluated as case studies and pilot studies. This underscores the need to advance interventions along the MRC framework (Skivington et al. 2021), including later-phase studies under real-world conditions, process evaluations and implementation studies that explicitly address barriers identified in this review. Longitudinal designs and follow-up assessments are needed to examine retention and transfer into real decision situations over months or even years. Evidence should be expanded for specific target groups, including disadvantaged populations, people with disabilities and people in need of care, in order to better understand feasibility and contextual requirements. Additionally, claims of effectiveness should be interpreted cautiously, as much of the evidence remains exploratory and focused on feasibility or short-term outcomes, with only a few interventions, most notably the IHC programme, having been evaluated in randomized controlled trials including follow-up assessments (I-01–I-05). Moreover, the diversity of evaluation approaches reflects unresolved questions about what CHL interventions are expected to achieve. While cognitive outcomes such as knowledge acquisition, critical appraisal skills or confidence in dealing with health information were commonly assessed, behavioural, social and structural outcomes were addressed less consistently. This imbalance may partly stem from the multi-dimensional nature of CHL itself. Interventions primarily targeting appraisal skills may reasonably be expected to affect proximal cognitive outcomes, whereas interventions addressing informed decision-making, understanding of social determinants or collective action may require evaluation frameworks capable of capturing behavioural change, social participation or broader contextual effects over longer periods of time. Additionally, implementation processes were inconsistently documented across the included interventions. In several studies, facilitators and barriers remained insufficiently described or were not examined systematically. Consequently, the identified barriers and facilitators may reflect selective reporting patterns rather than the full range of implementation experiences across interventions.

Finally, economic evaluation data were rarely reported. For planning, scaling and routine financing, future interventions should prospectively collect and transparently report implementation costs and economic outcomes (e.g. staff time, training effort, materials and infrastructure). Beyond evaluation, future research should sharpen CHL conceptualization in a context-sensitive way to avoid reduction to single subcomponents and to strengthen coherence between theory, intervention design and intervention.

Strengths and limitations

A strength of this review is the transparent methodology, including an a priori protocol registered on OSF (Kalteis et al. 2025). Contrary to the protocol’s initial expectation of relatively few inclusions, 81 publications were identified, which is plausible, given a deliberately sensitive search strategy. We used broad terms and synonyms, incorporated adjacent constructs and applied no restrictions regarding population, context, study design or language, aiming for comprehensive coverage. The review process required intensive calibration due to pronounced heterogeneity. To support methodological rigour, uncertainties and disagreements were resolved through structured team discussions, and procedures were aligned with current JBI guidance (Aromataris et al. 2024). Search quality was supported through PRESS-based peer review (McGowan et al. 2016), and citation searching was conducted and reported in line with TARCiS (Hirt et al. 2024). The expertise of the review team in HL and evidence-based health information supported consistent decision-making during screening and extraction.

Limitations should be considered when interpreting the findings. First, conceptual heterogeneity posed a core challenge. Some programmes aligned with CHL dimensions without referencing established CHL definitions, complicating identification and categorical decisions. Although the search strategy was deliberately broad, no specific search component was developed for the CHL dimensions of social determinants of health and collective action. This was because the review primarily focused on CHL in relation to health information, particularly its critical appraisal and use. Accordingly, it remains possible that relevant interventions were missed due to inconsistent terminology or indexing, and conversely that some inclusions would not meet stricter conceptual boundaries. Secondly, grey literature searching was partially constrained by limited access and technical instabilities of some databases, requiring iterative adaptations to search procedures. Thirdly, data extraction evolved iteratively because certain categories were difficult to apply consistently across heterogeneous reports, and studies frequently reported key intervention components incompletely. Finally, given the volume of extracted data, we synthesized findings at a higher level of abstraction, which may have reduced the visibility of more fine-grained details.

Conclusion

This scoping review provides an overview of interventions aimed at promoting CHL. The evidence base has expanded markedly in recent years and indicates particularly favourable conditions for CHL promotion in educational settings. Schools and higher education offer established infrastructures for early, low threshold and population-wide delivery. The IHC programme provides a useful reference, particularly with regard to iterative development and the provision of ready-to-use teaching materials. However, successful transfer into routine practice will depend on context-sensitive adaptation, deliverer qualification and support, language- and culture-responsive materials and reliable technical and institutional pre-conditions. To strengthen equity and broader societal impact, CHL promotion should increasingly extend beyond formal education settings towards community-based, healthcare organizational and other institutional contexts. The review also highlights important conceptual and practical challenges for future CHL intervention development. Future interventions should operationalize CHL more comprehensively across its dimensions, for example by combining information appraisal and informed decision-making with critical reflection on health inequalities, health system contexts and opportunities for participation or collective action. The review also highlights the risk that conceptual inconsistency may hinder effective implementation of CHL interventions. Realizing CHL’s preventive potential within health promotion will require not only clear conceptual grounding but also strategies that support the translation of competencies into action under real-world social, organizational and informational conditions.

Supplementary Material

daag103_Supplementary_Data

Acknowledgements

We thank Vivienne Krause for providing the linguistic review.

Contributor Information

Martin Kalteis, Institute of Health, Midwifery and Nursing Science, Medical Faculty of Martin Luther University Halle-Wittenberg, University Medicine Halle, Magdeburger Straße 8, Halle (Saale) 06112, Germany.

Anke Steckelberg, Institute of Health, Midwifery and Nursing Science, Medical Faculty of Martin Luther University Halle-Wittenberg, University Medicine Halle, Magdeburger Straße 8, Halle (Saale) 06112, Germany.

Sandro Zacher, Institute of Health, Midwifery and Nursing Science, Medical Faculty of Martin Luther University Halle-Wittenberg, University Medicine Halle, Magdeburger Straße 8, Halle (Saale) 06112, Germany.

Jana Hinneburg, Institute of Health, Midwifery and Nursing Science, Medical Faculty of Martin Luther University Halle-Wittenberg, University Medicine Halle, Magdeburger Straße 8, Halle (Saale) 06112, Germany.

Author contributions

Martin Kalteis (Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Writing—original draft, Writing—review & editing), Anke Steckelberg (Conceptualization, Methodology, Validation, Writing—review & editing), Sandro Zacher (Conceptualization, Data curation, Writing—review & editing), and Jana Hinneburg (Conceptualization, Data curation, Methodology, Supervision, Validation, Writing—review & editing)

Supplementary material

Supplementary material is available at Health Promotion International online.

Conflicts of interest

None declared.

Funding

The authors acknowledge the financial support from the Open Access Publication Fund of the Martin Luther University Halle-Wittenberg.

Data availability

The data underlying this article will be shared on reasonable request to the corresponding author.

Ethical approval

This study did not include human participants; therefore, no institutional ethical approval was needed.

Use of AI-assisted tools

Generative AI tools (OpenAI, ChatGPT 5.2) were used to support language editing and drafting. All of the authors reviewed the manuscript and take full responsibility for the content.

References

  1. Aghazadeh  SA, Aldoory  L, Mills  T. Integrating health literacy into core curriculum: a teacher-driven pilot initiative for second graders. J Sch Health  2020;90:585–93. 10.1111/josh.12907 [DOI] [PubMed] [Google Scholar]
  2. Ajzen  I. The theory of planned behavior. Organ Behav Hum Decis Process  1991;50:179–211. 10.1016/0749-5978(91)90020-T [DOI] [Google Scholar]
  3. Alderighi  C, Rasoini  R, Formoso  G  et al.  Feasibility of contextualizing the Informed Health Choices learning resources in Italy: a pilot study in a primary school in Florence. F1000Research  2022;11:1167. 10.12688/f1000research.123728.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Arbeitsgruppe GPGI . Gute Praxis Gesundheitsinformation: Positionspapier. Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen  2016;110–111:85–92. 10.1016/j.zefq.2015.11.005 [DOI] [PubMed] [Google Scholar]
  5. Aromataris  E, Lockwood  C, Porritt  K  et al. (eds.). JBI Manual for Evidence Synthesis. JBI, 2024. 10.46658/JBIMES-24-01 [DOI] [Google Scholar]
  6. Aspinall  EE, Beschnett  A, Ellwood  AF. Health literacy for older adults: using evidence to build a model educational program. Med Ref Serv Q  2012;31:302–14. 10.1080/02763869.2012.698174 [DOI] [PubMed] [Google Scholar]
  7. Austvoll-Dahlgren  A, Bjørndal  A, Odgaard-Jensen  J  et al.  Evaluation of a web portal for improving public access to evidence-based health information and health literacy skills: a pragmatic trial. PLoS One  2012;7:e37715. 10.1371/journal.pone.0037715 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Austvoll-Dahlgren  A, Danielsen  S, Opheim  E  et al.  Development of a complex intervention to improve health literacy skills. Health Info Libr J  2013;30:278–93. 10.1111/hir.12037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Austvoll-Dahlgren  A, Guttersrud  Ø, Nsangi  A  et al.  Measuring ability to assess claims about treatment effects: a latent trait analysis of items from the ‘Claim Evaluation Tools’ database using Rasch modelling. BMJ Open  2017;7:e013185. 10.1136/bmjopen-2016-013185 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bandura  A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev  1977;84:191–215. 10.1037/0033-295X.84.2.191 [DOI] [PubMed] [Google Scholar]
  11. Bandura  A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall, 1986. [Google Scholar]
  12. Bauquier  C, Pannard  M, Andrin  A  et al.  Fostering patients’ participation in oncology research by developing psychological empowerment and a sense of community. J Epidemiol Popul Health  2024;72:202781. 10.1016/j.jeph.2024.202781 [DOI] [PubMed] [Google Scholar]
  13. Bay  JL, Vickers  MH, Mora  HA  et al.  Adolescents as agents of healthful change through scientific literacy development: a school-university partnership program in New Zealand. Int J STEM Educ  2017;4:15. 10.1186/s40594-017-0077-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Benkert  R, Abel  T. Kritische Gesundheitskompetenz: Eine konstruktiv-kritische Bestandsaufnahme. In: Rathmann  K, Dadaczynski  K, Okan  O, Messer  M (eds.), Springer Reference Pflege - Therapie - Gesundheit. Gesundheitskompetenz: Mit 132 Abbildungen und 94 Tabellen. Berlin, Heidelberg: Springer, 2023, 11–20. 10.1007/978-3-662-67055-2_108. [DOI] [Google Scholar]
  15. Berger  B, Gerlach  A, Groth  S  et al.  Competence training in evidence-based medicine for patients, patient counsellors, consumer representatives and health care professionals in Austria: a feasibility study. Z Evid Fortbild Qual Gesundhwes  2013;107:44–52. 10.1016/j.zefq.2012.11.013 [DOI] [PubMed] [Google Scholar]
  16. Berger  B, Steckelberg  A, Meyer  G  et al.  Training of patient and consumer representatives in the basic competencies of evidence-based medicine: a feasibility study. BMC Med Educ  2010;10:16. 10.1186/1472-6920-10-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Berkman  ND, Sheridan  SL, Donahue  KE  et al.  Low health literacy and health outcomes: an updated systematic review. Ann Intern Med  2011;155:97–107. 10.7326/0003-4819-155-2-201107190-00005 [DOI] [PubMed] [Google Scholar]
  18. Berr  AL, Ridge  KM, Hu  JY. Pivoting to a remote-learning summer student program during the COVID-19 pandemic. ATS Sch  2021;2:521–34. 10.34197/ats-scholar.2021-0047PS [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Bloss  JE, LePrevost  CE, Cofie  LE  et al.  Creating information resources and trainings for farmworker-serving community health workers. J Med Libr Assoc  2022;110:113–8. 10.5195/jmla.2022.1272 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Borges do Nascimento  IJ, Pizarro  AB, Almeida  JM  et al.  Infodemics and health misinformation: a systematic review of reviews. Bull World Health Organ  2022;100:544–61. 10.2471/BLT.21.287654 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Chalmers  I, Oxman  AD, Austvoll-Dahlgren  A  et al.  Key Concepts for Informed Health Choices: a framework for helping people learn how to assess treatment claims and make informed choices. BMJ Evid Based Med  2018;23:29–33. 10.1136/ebmed-2017-110829 [DOI] [PubMed] [Google Scholar]
  22. Chang  CH, Huang  KY, Kuo  LH  et al.  Pilot randomized controlled study on the effectiveness of a virtual reality-based dementia prevention program using self-regulated learning strategies among older adults with mild cognitive impairment. Healthcare (Basel, Switzerland)  2025;13:1082. 10.3390/healthcare13091082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Chang  YJ, Chen  JL. Effectiveness of a web-based intervention for preventing substance use in young adults in Taiwan: quasi-experimental study. J Med Internet Res  2023;25:e40157. 10.2196/40157 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Chen  Q. Improving Chinese Mothers’ Health Literacy: A WeChat Intervention. 2019. http://oatd.org/oatd/record?record=handle:20.500.14394%2F17957&q=%22critical%20health%20literacy%22%20OR%20%22critical%20health%20competence%22%20OR%20%28%22science%20literacy%22%20AND%20health%29%20OR%20%22health%20information%20literacy%22%20OR%20%28%22scientific%20literacy%22%20AND%20health%29 (7 January 2026, date last accessed)
  25. Chesire  F, Kaseje  M, Gisore  V  et al.  Effects of the Informed Health Choices secondary school intervention on the ability of lower secondary students in Kenya to think critically about health choices: 1-year follow-up of a cluster-randomized trial. Trials  2025;26:125. 10.1186/s13063-025-08810-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Chesire  F, Kaseje  M, Ochieng  M  et al.  Effects of the informed health choices secondary school intervention on the ability of students in Kenya to think critically about health choices: a cluster-randomized trial. J Evid Based Med  2023;16:275–84. 10.1111/jebm.12556 [DOI] [PubMed] [Google Scholar]
  27. Chesire  F, Oxman  AD, Kaseje  M  et al.  Process evaluation of teaching critical thinking about health using the informed health choices intervention in Kenya: a mixed methods study. Glob Health Sci Pract  2024;12:e2300485. 10.9745/GHSP-D-23-00485 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Chinn  D. Critical health literacy: a review and critical analysis. Soc Sci Med  2011;73:60–7. 10.1016/j.socscimed.2011.04.004 [DOI] [PubMed] [Google Scholar]
  29. Coats  JV, Stafford  JD, Sanders Thompson  V  et al.  Increasing research literacy: the community research fellows training program. J Empir Res Hum Res Ethics  2015;10:3–12. 10.1177/1556264614561959 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Cobban  SJ, Seale  LN. A collaborative approach for improving information literacy skills of dental hygiene students. Int J Dent Hyg  2003;1:49–56. 10.1034/j.1601-5037.2003.00005.x [DOI] [PubMed] [Google Scholar]
  31. Daraz  L, Morrow  AS, Ponce  OJ  et al.  Can patients trust online health information? A meta-narrative systematic review addressing the quality of health information on the internet. J Gen Intern Med  2019;34:1884–91. 10.1007/s11606-019-05109-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. DeepL  SE. DeepL Translator. [Computer software]. https://www.deepl.com/translator. 2025.
  33. de Gani  SM, Jaks  R, Bieri  U  et al.  Health Literacy Survey Schweiz 2019–2021. Schlussbericht (V2) im Auftrag des Bundesamtes für Gesundheit BAG. Zürich, Careum Stiftung, 2021. https://www.bag.admin.ch/dam/de/sd-web/zTvqdtp8UAbm/schlussbericht-health-literacy-survey-careum.pdf
  34. Deliv  C, Devane  D, Putnam  E  et al.  Development of a video-based evidence synthesis knowledge translation resource: drawing on a user-centred design approach. Digit Health  2023;9:20552076231170696. 10.1177/20552076231170696 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. de Wit  L, Fenenga  C, Giammarchi  C  et al.  Community-based initiatives improving critical health literacy: a systematic review and meta-synthesis of qualitative evidence. BMC Public Health  2017;18:40. 10.1186/s12889-017-4570-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Dichter  MN. Logische Modelle und der Theory of Change-Ansatz zur theoretischen Fundierung pflegewissenschaftlicher Interventionen. Pflege  2022;35:1–3. 10.1024/1012-5302/a000855 [DOI] [PubMed] [Google Scholar]
  37. Dixon  R, Abel  G, Burrows  L. A case for connecting school-based health education in Aotearoa New Zealand to critical health literacy. Curric Stud Health Phys Educ  2023;14:127–42. 10.1080/25742981.2022.2082310 [DOI] [Google Scholar]
  38. Earl  GL, Harris  EM, Dave  M  et al.  Implementing a health literacy module fostering patient-centered written communication in a cardiovascular prevention elective course. Curr Pharm Teach Learn  2019;11:702–9. 10.1016/j.cptl.2019.03.008 [DOI] [PubMed] [Google Scholar]
  39. Ehrenbrusthoff  K, Braun  T, Bahns  C  et al.  Adherence to evidence-based practice across healthcare professionals in Germany: results from a cross-sectional, nationwide survey. BMC Health Serv Res  2022;22:1285. 10.1186/s12913-022-08682-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Ekwaru  JP, Ohinmaa  A, Dabravolskaj  J  et al.  Cost-effectiveness and return on investment of school-based health promotion programmes for chronic disease prevention. Eur J Public Health  2021;31:1183–9. 10.1093/eurpub/ckab130 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Elvsaas  IO, Garnweidner-Holme  L, Habib  L  et al.  Development and evaluation of a serious game application to engage university students in critical thinking about health claims: mixed methods study. JMIR Form Res  2023;7:e44831. 10.2196/44831 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Elvsaas  IO, Myrhaug  HT, Garnweidner-Holme  L  et al.  Experiences using media health claims to teach evidence-based practice to healthcare students: a mixed methods study. F1000Research  2024;13:224. 10.12688/f1000research.146648.3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Fiordelli  M, Diviani  N, Farina  R  et al.  Strengthening adolescents’ critical health literacy and scientific literacy to tackle mis- and dis-information. A Feasibility Study in Switzerland. Front Public Health  2023;11:1183838. 10.3389/fpubh.2023.1183838 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Færevaag  FS, Kalsnes  B, Tennfjord  MK  et al.  Mapping the landscape of critical health literacy: a comprehensive scoping review of research trends and associations with health behaviors. J Health Commun  2026;31:34–54. 10.1080/10810730.2025.2608161 [DOI] [PubMed] [Google Scholar]
  45. Goodman  MS, Dias  JJ, Stafford  JD. Increasing research literacy in minority communities: CARES fellows training program. J Empir Res Hum Res Ethics  2010;5:33–41. 10.1525/jer.2010.5.4.33 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Goodman  MS, Si  X, Stafford  JD  et al.  Quantitative assessment of participant knowledge and evaluation of participant satisfaction in the CARES training program. Prog Community Health Partnersh  2012;6:361–8. 10.1353/cpr.2012.0051 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Goodwin  VA, Hill  JJ, Fullam  JA  et al.  Intervention development and treatment success in UK health technology assessment funded trials of physical rehabilitation: a mixed methods analysis. BMJ Open  2019;9:e026289. 10.1136/bmjopen-2018-026289 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Gould  L, Mogford  E, DeVoght  A. Successes and challenges of teaching the social determinants of health in secondary schools: case examples in Seattle, Washington. Health Promot Pract  2010;11:26S–33S. 10.1177/1524839909360172 [DOI] [PubMed] [Google Scholar]
  49. Greenberg  CJ, Wang  L. Building health literacy among an urban teenage population by creating online health videos for public and school health curriculum use. J Consum Health Internet  2012;16:135–46. 10.1080/15398285.2012.673459 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Halalau  A, Holmes  B, Rogers-Snyr  A  et al.  Evidence-based medicine curricula and barriers for physicians in training: a scoping review. Int J Med Educ  2021;12:101–24. 10.5116/ijme.6097.ccc0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Herlitz  L, MacIntyre  H, Osborn  T  et al.  The sustainability of public health interventions in schools: a systematic review. Implement Sci  2020;15:4. 10.1186/s13012-019-0961-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Hinneburg  J, Hecht  L, Berger-Höger  B  et al.  Development and piloting of a blended learning training programme for physicians and medical students to enhance their competences in evidence-based decision-making. Z Evid Fortbild Qual Gesundhwes  2020;150–152:104–11. 10.1016/j.zefq.2020.02.004 [DOI] [PubMed] [Google Scholar]
  53. Hirt  J, Nordhausen  T, Fuerst  T  et al.  Guidance on terminology, application, and reporting of citation searching: the TARCiS statement. BMJ (Clinical Research Ed.)  2024;385:e078384. 10.1136/bmj-2023-078384 [DOI] [PubMed] [Google Scholar]
  54. Institute of Medicine . Health Literacy: A Prescription to end Confusion. Washington, DC: The National Academies Press, 2004. 10.17226/10883. [DOI] [PubMed] [Google Scholar]
  55. Islertas  Z. Gesundheitskompetenz und Kultur – Wie ist der Zusammenhang zwischen diesen Konstrukten zu beschreiben?. In: Rathmann  K, Dadaczynski  K, Okan  O, et al. (eds.), Gesundheitskompetenz. Springer Reference Pflege – Therapie – Gesundheit. Berlin: Springer, 2022, 1–8. 10.1007/978-3-662-62800-3_107-1. [DOI] [Google Scholar]
  56. Jofra  LS, Alonso-Coello  P, Martínez  EC  et al.  Piloting the informed health choices resources in Barcelona primary schools: a mixed methods study. PLoS One  2023;18:e0288082. 10.1371/journal.pone.0288082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Kalteis  M, Zacher  S, Steckelberg  A  et al.  2025. Interventions to Promote Critical Health Literacy—A Scoping Review Protocol. OSF: 10.17605/OSF.IO/GKEMA [DOI] [PMC free article] [PubMed]
  58. Kasper  J, Cokluk  B, Molin  M  et al.  Mapping the quality of Norwegian health information—does it facilitate informed choices?  PLoS One  2026;21:e0327148. 10.1371/journal.pone.0327148 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Keselman  A, Ahmed  EA, Williamson  DC  et al.  Harnessing health information to foster disadvantaged teens’ community engagement, leadership skills, and career plans: a qualitative evaluation of the Teen Health Leadership Program. J Med Libr Assoc  2015;103:82–6. 10.3163/1536-5050.103.2.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Keselman  A, Chase  RA, Rewolinski  J  et al.  Lessons learned from multisite implementation and evaluation of Project SHARE, a teen health information literacy, empowerment, and leadership program. J Med Libr Assoc  2019;107:72–9. 10.5195/jmla.2019.351 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. König  L, Marbach-Breitrück  E, Engler  A  et al.  The development and evaluation of an e-learning course that promotes digital health literacy in school-age children: pre-post measurement study. J Med Internet Res  2022;24:e37523. 10.2196/37523 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Li  M, Devane  D, Beecher  C  et al.  Developing critical thinking and decision-making skills for cancer information: the Informed Health Choice-Cancer online learning resource. J Cancer Surviv  2025. 10.1007/s11764-025-01874-6 [DOI] [PubMed] [Google Scholar]
  63. Lin  LC, Huang  CM, Hsu  HP  et al.  Integrating health literacy into a theory-based drug-use prevention program: a quasi-experimental study among junior high students in Taiwan. BMC Public Health  2021;21:1768. 10.1186/s12889-021-11830-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Lühnen  J, Albrecht  M, Mühlhauser  I  et al.  Leitlinie evidenzbasierte Gesundheitsinformation. 2017. https://www.ebm-netzwerk.de/de/medien/pdf/leitlinie-evidenzbasierte-gesundheitsinformation-fin.pdf (9 January 2026, date last accessed)
  65. McCaffery  KJ, Morony  S, Muscat  DM  et al.  Evaluation of an Australian health literacy program delivered in adult education settings. Health Lit Res Pract  2019;3:S42–57. 10.3928/24748307-20190402-01 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. McGowan  J, Sampson  M, Salzwedel  DM  et al.  PRESS peer review of electronic search strategies: 2015 guideline statement. J Clin Epidemiol  2016;75:40–6. 10.1016/j.jclinepi.2016.01.021 [DOI] [PubMed] [Google Scholar]
  67. Meyer  G, Köpke  S, Lenz  M  et al.  Evidence-based medicine for diabetes educators: a pilot study. Diabet Med  2007;24:901–5. 10.1111/j.1464-5491.2007.02185.x [DOI] [PubMed] [Google Scholar]
  68. Milne  R, Oliver  S. Evidence-based consumer health information: developing teaching in critical appraisal skills. Int J Qual Health Care  1996;8:439–45. 10.1093/intqhc/8.5.439 [DOI] [PubMed] [Google Scholar]
  69. Mogford  E, Gould  L, DeVoght  A. Teaching critical health literacy in the US as a means to action on the social determinants of health. Health Promot Int  2011;26:4–13. 10.1093/heapro/daq049 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Mugisha  M, Nyirazinyoye  L, Kayiranga  D  et al.  What is the effect of the Informed Health Choices secondary school intervention on the ability of students in Rwanda to think critically about health choices after one-year follow-up? A cluster-randomized trial. Trials  2025;26:160. 10.1186/s13063-025-08779-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Mugisha  M, Nyirazinyoye  L, Simbi  CMC  et al.  Effects of the informed health choices secondary school intervention on the ability of students in Rwanda to think critically about health choices: a cluster-randomized trial. J Evid Based Med  2023;16:264–74. 10.1111/jebm.12551 [DOI] [PubMed] [Google Scholar]
  72. Mugisha  M, Oxman  AD, Nyirazinyoye  L  et al.  Process evaluation of teaching critical thinking about health using the informed health choices intervention in Rwanda: a mixed methods study. Glob Health Sci Pract  2024;12:e2300483. 10.9745/GHSP-D-23-00483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Murray  K, Braund-Allen  J, Brudie  S  et al.  Empowering Peer Navigators to Improve Health Literacy of Refugees in Anchorage, Alaska. In: Dalrymple  PW, Galvin  B (eds.), Growing Community Health Literacy through Libraries: Sharing Global Perspectives. Berlin, Boston: De Gruyter Saur, 2020, 243–262. 10.1515/9783110362640-016. [DOI] [Google Scholar]
  74. Muscat  DM, Lambert  K, Shepherd  H  et al.  Supporting patients to be involved in decisions about their health and care: development of a best practice health literacy App for Australian adults living with Chronic Kidney Disease. Health Promot J Austr  2021;32:115–27. 10.1002/hpja.416 [DOI] [PubMed] [Google Scholar]
  75. Muscat  DM, Morony  S, Shepherd  HL  et al.  Development and field testing of a consumer shared decision-making training program for adults with low literacy. Patient Educ Couns  2015;98:1180–8. 10.1016/j.pec.2015.07.023 [DOI] [PubMed] [Google Scholar]
  76. Muscat  DM, Morony  S, Smith  SK  et al.  Qualitative insights into the experience of teaching shared decision making within adult education health literacy programmes for lower-literacy learners. Health Expect  2017b;20:1393–400. 10.1111/hex.12580 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Muscat  DM, Morony  S, Trevena  L  et al.  Skills for shared decision-making: evaluation of a health literacy program for consumers with lower literacy levels. Health Lit Res Pract  2019;3:S58–74. 10.3928/24748307-20190408-02 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Muscat  DM, Shepherd  HL, Nutbeam  D  et al.  Developing verbal health literacy with adult learners through training in shared decision-making. Health Lit Res Pract  2017a;1:e257–68. 10.3928/24748307-20171208-02 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Muscat  DM, Shepherd  HL, Nutbeam  D  et al.  Health literacy and shared decision-making: exploring the relationship to enable meaningful patient engagement in healthcare. J Gen Intern Med  2021;36:521–4. 10.1007/s11606-020-05912-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Nazri  HM. Combatting pseudoscience: a science and health literacy workshop to improve scientific literacy in 16-year-old students in Malaysia. Malays J Med Sci  2019;26:1–5. 10.21315/mjms2019.26.5.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Nsangi  A, Semakula  D, Glenton  C  et al.  Informed health choices intervention to teach primary school children in low-income countries to assess claims about treatment effects: process evaluation. BMJ Open  2019;9:e030787. 10.1136/bmjopen-2019-030787 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Nsangi  A, Semakula  D, Oxman  AD  et al.  Effects of the Informed Health Choices primary school intervention on the ability of children in Uganda to assess the reliability of claims about treatment effects: a cluster-randomised controlled trial. Lancet (London, England)  2017;390:374–88. 10.1016/S0140-6736(17)31226-6 [DOI] [PubMed] [Google Scholar]
  83. Nsangi  A, Semakula  D, Oxman  AD  et al.  Effects of the Informed Health Choices primary school intervention on the ability of children in Uganda to assess the reliability of claims about treatment effects, 1-year follow-up: a cluster-randomised trial. Trials  2020a;21:27. 10.1186/s13063-019-3960-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Nsangi  A, Semakula  D, Rosenbaum  SE  et al.  Development of the informed health choices resources in four countries to teach primary school children to assess claims about treatment effects: a qualitative study employing a user-centred approach. Pilot Feasibility Stud  2020b;6:18. 10.1186/s40814-020-00565-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Nutbeam  D. Health literacy as a public health goal: a challenge for contemporary health education and communication strategies into the 21st century. Health Promot Int  2000;15:259–67. 10.1093/heapro/15.3.259 [DOI] [Google Scholar]
  86. Nutbeam  D, McGill  B, Premkumar  P. Improving health literacy in community populations: a review of progress. Health Prom Int  2018;33:901–911. 10.1093/heapro/dax015 [DOI] [PubMed] [Google Scholar]
  87. Nutbeam  D, Muscat  DM. Health Promotion Glossary 2021. Health Prom Int  2021;36:1578–1598. 10.1093/heapro/daaa157 [DOI] [PubMed] [Google Scholar]
  88. OECD . PISA 2012 Assessment and Analytical Framework: Mathematics, Reading, Science, Problem Solving and Financial Literacy. 2012. https://www.oecd.org/content/dam/oecd/en/publications/reports/2013/02/pisa-2012-assessment-and-analytical-framework_g1g27388/9789264190511-en.pdf (5 January 2026, date last accessed)
  89. OECD . PISA 2015 Assessment and Analytical Framework: Science, Reading, Mathematic, Financial Literacy and Collaborative Problem Solving (Revised edition). PISA. OECD. OECD. (2019). OECD Future of Education and Skills 2030: OECD Learning Compass 2030. 2017. https://www.oecd.org/content/dam/oecd/en/about/projects/edu/education2040/1-1-learning-compass/OECD_Learning_Compass_2030_Concept_Note_Series.pdf (5 January 2026, date last accessed)
  90. OECD . OECD Future of Education and Skills 2030: OECD Learning Compass 2030. 2019. https://www.oecd.org/content/dam/oecd/en/about/projects/edu/education-2040/1-1-learning-compass/OECD_Learning_Compass_2030_Concept_Note_Series.pdf (5 January 2026, date last accessed)
  91. OECD . OECD Learning Compass 2030—Glossary. 2024. https://www.oecd.org/content/dam/oecd/en/about/projects/edu/education-2040/publications/OECD%20Learning%20Compass%202030%20-%20Glossary.pdf (5 January 2026, date last accessed)
  92. Osborne  RH, Batterham  RW, Elsworth  GR  et al.  The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ). BMC Public Health  2013;13:658. 10.1186/1471-2458-13-658 [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Osman  W, Mohamed  F, Elhassan  M  et al.  Is YouTube a reliable source of health-related information? A systematic review. BMC Med Educ  2022;22:382. 10.1186/s12909-022-03446-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Ouzzani  M, Hammady  H, Fedorowicz  Z  et al.  Rayyan-a web and mobile app for systematic reviews. Syst Rev  2016;5:210. 10.1186/s13643-016-0384-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Oxman  AD, Nsangi  A, Martínez García  L  et al.  The effects of teaching strategies on learning to think critically in primary and secondary schools: an overview of systematic reviews. F1000Research  2024;13:1426. 10.12688/f1000research.158087.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Oxman  M, Chesire  F, Mugisha  M  et al.  Participants’ experiences of potential adverse effects of an intervention to improve critical thinking about health choices: a qualitative cross-trial process evaluation in Kenya, Rwanda and Uganda. BMJ Open  2025;15:e104236. 10.1136/bmjopen-2025-104236 [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Oxman  M, Habib  L, Jamtvedt  G  et al.  Using claims in the media to teach essential concepts for evidence-based healthcare. BMJ Evid Based Med  2021;26:234–6. 10.1136/bmjebm-2020-111390 [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Page  MJ, McKenzie  JE, Bossuyt  PM  et al.  The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ  2021:n71. 10.1136/bmj.n71 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Peralta  LR, Cinelli  RL, Marvell  CL  et al.  A teacher professional development programme to enhance students’ critical health literacy through school-based health and physical education programmes. Health Promot Int  2022;37:6. 10.1093/heapro/daac168 [DOI] [PubMed] [Google Scholar]
  100. Peralta  LR, Marvell  CL, Barkell  J  et al.  An ongoing teacher professional development programme to enhance critical health literacy pedagogies and assessment. Health Promot J Austr  2025;36:e70016. 10.1002/hpja.70016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Peters  MDJ, Marnie  C, George  AC  et al.  Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth  2020;18:2119–26. 10.11124/JBIES-20-00167 [DOI] [PubMed] [Google Scholar]
  102. Ponsford  R, Falconer  J, Melendez-Torres  GJ  et al.  What factors influence implementation of whole-school interventions aiming to promote student commitment to school to prevent substance use and violence? Systematic review and synthesis of process evaluations. BMC Public Health  2022;22:2148. 10.1186/s12889-022-14544-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Prenger  R, Tappel  APM, Poortman  CL  et al.  How can educational innovations become sustainable? A review of the empirical literature  Front Educ (Lausanne)  2022;7:970715. 10.3389/feduc.2022.970715 [DOI] [Google Scholar]
  104. Prokop-Dorner  A, Piłat-Kobla  A, Ślusarczyk  M  et al.  Teaching methods for critical thinking in health education of children up to high school: a scoping review. PLoS One  2024;19:e0307094. 10.1371/journal.pone.0307094 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Public Health England, UCL Institute of Health Equity . Local Action on Health. Improving Health Literacy to Reduce. 2015. https://www.instituteofhealthequity.org/resources-reports/local-action-on-health-inequalities-health-literacy-to-reduce-health-inequalities/health-literacy-improving-health-literacy-to-reduce-health-inequalities-full.pdf (7 January 2026, date last accessed)
  106. Rahner  M, Krüger  L, Aumiller  M  et al.  Evidence-based decision-making in nursing—development and piloting of a train-the-trainer concept for teachers at schools for health care professionals: a pilot study. Z Evid Fortbild Qual Gesundhwes  2022;175:81–8. 10.1016/j.zefq.2022.08.008 [DOI] [PubMed] [Google Scholar]
  107. Rasoini  R, Alderighi  C, Celani  MG  et al.  Feasibility of teaching critical thinking about health in Italian schools to 9–13-year-olds: a mixed-methods study across three regions. Recenti Prog Med  2025;116:442–57. 10.1701/4530.45314 [DOI] [PubMed] [Google Scholar]
  108. Ringle  VAM, Dahlgren  A, Rosenbaum  S  et al.  Critical thinking about health and treatments in the United States: a cross-sectional assessment of parents and undergraduate college students. BMC Public Health  2025;25:336. 10.1186/s12889-025-21291-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Romanova  A, Rubinelli  S, Diviani  N. Improving health and scientific literacy in disadvantaged groups: a scoping review of interventions. Patient Educ Couns  2024;122:108168. 10.1016/j.pec.2024.108168 [DOI] [PubMed] [Google Scholar]
  110. Rosenbaum  S, Moberg  J, Chesire  F  et al.  Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources. F1000Research  2023;12:481. 10.12688/f1000research.132580.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Rosenstock  IM, Strecher  VJ, Becker  MH. Social learning theory and the health belief model. Health Educ Q  1988;15:175–83. 10.1177/109019818801500203 [DOI] [PubMed] [Google Scholar]
  112. Roux  F, Chih  H, Hendriks  J  et al.  Mixed method evaluation of My Vital Cycles(®): a holistic school-based ovulatory menstrual health literacy program. Int J Environ Res Public Health  2023;20:5964. 10.3390/ijerph20115964 [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Rovetta  A, Bhagavathula  AS. Global infodemiology of COVID-19: analysis of Google Web searches and Instagram hashtags. J Med Internet Res  2020;22:e20673. 10.2196/20673 [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Rubinelli  S, Diviani  N, Fiordelli  M. Towards a framework of skills for health information appraisal: insights from argumentation theory and the cognitive and behavioural sciences. In: Lewis  M, Govender  E, Holland  K (eds.), Communicating COVID-19: Media, Trust, and Public Engagement, 1st ed. Cham, Switzerland: Palgrave Macmillan, 2024, 439–61. 10.1007/978-3-031-41237-0_22. [DOI] [Google Scholar]
  115. Sackett  DL, Rosenberg  WMC, Gray  JAM  et al.  Evidence based medicine: what it is and what it isn't. BMJ  1996;312:71–72. 10.1136/bmj.312.7023.71 [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Schaeffer  D, Berens  E-M, Vogt  D  et al.  Health literacy in Germany—findings of a representative follow-up survey. Dtsch Arztebl Int  2021;118:723–8. 10.3238/arztebl.m2021.0310 [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Scull  TM, Kupersmidt  JB, Malik  CV  et al.  Examining the efficacy of an mHealth media literacy education program for sexual health promotion in older adolescents attending community college. J Am Coll Health  2018;66:165–77. 10.1080/07448481.2017.1393822 [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Semakula  D, Nsangi  A, Oxman  A  et al.  Informed Health Choices media intervention for improving people’s ability to critically appraise the trustworthiness of claims about treatment effects: a mixed-methods process evaluation of a randomised trial in Uganda. BMJ Open  2019b;9:e031510. 10.1136/bmjopen-2019-031510 [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Semakula  D, Nsangi  A, Oxman  AD  et al.  Effects of the Informed Health Choices podcast on the ability of parents of primary school children in Uganda to assess claims about treatment effects: a randomised controlled trial. The Lancet  2017;390:389–398. 10.1016/S0140-6736(17)31225-4 [DOI] [PubMed] [Google Scholar]
  120. Semakula  D, Nsangi  A, Oxman  AD  et al.  Effects of the Informed Health Choices podcast on the ability of parents of primary school children in Uganda to assess the trustworthiness of claims about treatment effects: one-year follow up of a randomised trial. Trials  2020;21:187. 10.1186/s13063-020-4093-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Semakula  D, Nsangi  A, Oxman  M  et al.  Development of mass media resources to improve the ability of parents of primary school children in Uganda to assess the trustworthiness of claims about the effects of treatments: a human-centred design approach. Pilot Feasibility Stud  2019a;5:155. 10.1186/s40814-019-0540-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  122. Serbim  A, Paskulin  L, Nutbeam  D. Improving health literacy among older people through primary health care units in Brazil: feasibility study. Health Promot Int  2020;35:1256–66. 10.1093/heapro/daz121 [DOI] [PubMed] [Google Scholar]
  123. Skivington  K, Matthews  L, Simpson  SA  et al.  A new framework for developing and evaluating complex interventions: update of medical research council guidance. BMJ (Clin Res Ed)  2021;374:n2061. 10.1136/bmj.n2061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Smart  A, Carter-Templeton  H, Brown  S. Developing an information literacy workshop to foster evidence-based practice among nurse practitioner students. J Dr Nurs Pract  2016;9:145–151. 10.1891/2380-9418.9.1.145. [DOI] [PubMed] [Google Scholar]
  125. Smith  CA, Chang  E, Gallego  G  et al.  An education intervention to improve decision making and health literacy among older Australians: a randomised controlled trial. BMC Geriatr  2019;19:129. 10.1186/s12877-019-1143-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Sørensen  K, van den Broucke  S, Fullam  J  et al.  Health literacy and public health: a systematic review and integration of definitions and models. BMC Public Health  2012;12:80. 10.1186/1471-2458-12-80 [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Ssenyonga  R, Lewin  S, Nakyejwe  E  et al.  Process evaluation of teaching critical thinking about health using the informed health choices intervention in Uganda: a mixed methods study. Glob Health Sci Pract  2024;12:e2300484. 10.9745/GHSP-D-23-00484 [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Ssenyonga  R, Oxman  AD, Nakyejwe  E  et al.  Use of the informed health choices educational intervention to improve secondary students’ ability to think critically about health interventions in Uganda: a cluster-randomized trial. J Evid Based Med  2023;16:285–93. 10.1111/jebm.12553 [DOI] [PubMed] [Google Scholar]
  129. Ssenyonga  R, Oxman  AD, Nakyejwe  E  et al.  One-year follow-up effects of the informed health choices secondary school intervention on students’ ability to think critically about health in Uganda: a cluster randomized trial. Trials  2025;26:71. 10.1186/s13063-024-08607-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Stassen  G, Grieben  C, Sauzet  O  et al.  Health literacy promotion among young adults: a web-based intervention in German vocational schools. Health Educ Res  2020;35:87–98. 10.1093/her/cyaa001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Steckelberg  A, Hülfenhaus  C, Kasper  J  et al.  Ebm@school-a curriculum of critical health literacy for secondary school students: results of a pilot study. Int J Public Health  2009a;54:158–65. 10.1007/s00038-008-7033-1 [DOI] [PubMed] [Google Scholar]
  132. Steckelberg  A, Hülfenhaus  C, Kasper  J  et al.  How to measure critical health competences: development and validation of the Critical Health Competence Test (CHC Test). Adv Health Sci Educ Theory Pract  2009b;14:11–22. 10.1007/s10459-007-9083-1 [DOI] [PubMed] [Google Scholar]
  133. Steckelberg  A, Meyer  G, Mühlhauser  I. Questionnaire should not be used any longer. Deutsches Aerzteblatt International  2017;114:330. 10.3238/arztebl.2017.0330a [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Stielke  A, Dyakova  M, Ashton  K  et al.  The social and economic benefit of health literacy interventions in the WHO EURO region. Eur J Public Health  2019;29:Article ckz186.390. 10.1093/eurpub/ckz186.390 [DOI] [Google Scholar]
  135. Stormacq  C, Wosinski  J, Boillat  E  et al.  Effects of health literacy interventions on health-related outcomes in socioeconomically disadvantaged adults living in the community: a systematic review. JBI Evid Synt  2020;18:1389–1469. 10.11124/JBISRIR-D-18-00023 [DOI] [PubMed] [Google Scholar]
  136. Sykes  S, van den Broucke  S, Abel  T. The dark side of the moon: can critical health literacy offer solutions to the fundamental problems of health literacy?  Glob Health Promot  2025;32:108–10. 10.1177/17579759241298255 [DOI] [PMC free article] [PubMed] [Google Scholar]
  137. Sykes  S, Wills  J. Challenges and opportunities in building critical health literacy. Glob Health Promot  2018;25:48–56. 10.1177/1757975918789352 [DOI] [PubMed] [Google Scholar]
  138. Sykes  S, Wills  J, Rowlands  G  et al.  Understanding critical health literacy: a concept analysis. BMC Public Health  2013;13:150. 10.1186/1471-2458-13-150 [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Tangcharoensathien  V, Calleja  N, Nguyen  T  et al.  Framework for managing the COVID-19 infodemic: methods and results of an online, crowdsourced WHO Technical Consultation. J Med Internet Res  2020;22:e19659. 10.2196/19659 [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Tricco  AC, Lillie  E, Zarin  W  et al.  PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med  2018;169:467–73. 10.7326/M18-0850 [DOI] [PubMed] [Google Scholar]
  141. Tsai  T-I, Lee  S-YD, Yu  W-R. Impact of a problem-based learning (PBL) health literacy program on immigrant women’s health literacy, health empowerment, navigation efficacy, and health care utilization. J Health Commun  2018;23:340–9. 10.1080/10810730.2018.1445798 [DOI] [PubMed] [Google Scholar]
  142. Tsao  S-F, Chen  H, Tisseverasinghe  T  et al.  What social media told us in the time of COVID-19: a scoping review. Lancet Digit Health  2021;3:e175–94. 10.1016/S2589-7500(20)30315-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  143. Ulla  T, Poom-Valickis  K. Program support matters: a systematic review on teacher- and school related contextual factors facilitating the implementation of social-emotional learning programs. Front Educ (Lausanne)  2023;7:965538. 10.3389/feduc.2022.965538 [DOI] [Google Scholar]
  144. Vamos  CA, Richman  AR, Noel-Thomas  S  et al.  Teaching women’s health from a public health perspective: development of an innovative undergraduate course. Educ Health (Abingdon. England)  2012;25:4–10. 10.4103/1357-6283.99192 [DOI] [PubMed] [Google Scholar]
  145. van Moorsel  G. Do you Mini-Med School? Leveraging library resources to improve Internet consumer health information literacy. Med Ref Serv Q  2001;20:27–37. 10.1300/J115v20n04_02 [DOI] [PubMed] [Google Scholar]
  146. Wang  T, Tan  J-YB, Liu  X-L  et al.  Barriers and enablers to implementing clinical practice guidelines in primary care: an overview of systematic reviews. BMJ Open  2023b;13:e062158. 10.1136/bmjopen-2022-062158 [DOI] [PMC free article] [PubMed] [Google Scholar]
  147. Weiss  B, Mays  MZ, Martz  W  et al.  Quick assessment of literacy in primary care: the newest vital sign. Ann Fam Med  2005;3:514–522. 10.1370/afm.405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  148. Weng  YM, Li  YX, Chang  CH  et al.  Effectiveness of an interactive digital intervention program on knowledge, health literacy, and learner engagement in senior high school students: intragroup and intergroup comparison of 2 teaching models. J Med Internet Res  2025;27:e76109. 10.2196/76109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Zacher  S, Berger-Höger  B, Lühnen  J  et al.  Development and piloting of a web-based tool to teach relative and absolute risk reductions. Int J Environ Res Public Health  2022;19:16086. 10.3390/ijerph192316086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Zacher  S, Kasper  J, Lauberger  J  et al.  Mapping the quality of German-language health information on the treatment of knee osteoarthritis: cross-sectional analysis. JMIR Infodemiology  2025;5:e78007. 10.2196/78007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  151. Zacher  S, Lauberger  J, Lühnen  J  et al.  Mapping the quality of information on osteoporosis: a cross-sectional analysis of online health information. BMC Musculoskelet Disord  2026;27:291. 10.1186/s12891-026-09711-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  152. Zhang  Y, Sun  Y, Xie  B. Quality of health information for consumers on the web: a systematic review of indicators, criteria, tools, and evaluation results. J Assoc Inf Sci Technol  2015;66:2071–84. 10.1002/asi.23311 [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

daag103_Supplementary_Data

Data Availability Statement

The data underlying this article will be shared on reasonable request to the corresponding author.


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