Abstract
Health service waiting areas commonly provide health information, resources and supports for consumers; however, the effect on health literacy and related outcomes remains unclear. This scoping review of the literature aimed to explore the use of waiting areas as a place to contribute to the health literacy and related outcomes of consumers attending health appointments. Articles were included if they focussed on health literacy or health literacy responsiveness (concept) in outpatient or primary care health service waiting areas (context) for adult consumers (population) and were published after 2010. Ten bibliographic databases, one full-text archive, dissertation repositories and web sources were searched. The search yielded 5095 records. After duplicate removal, 3942 title/abstract records were screened and 360 full-text records assessed. Data were charted into a standardized data extraction tool. A total of 116 unique articles (published empirical and grey literature) were included. Most articles were set in primary and community care (49%) waiting areas. A diverse range of health topics and resource types were available, but results demonstrated they were not always used by consumers. Outcomes measured in intervention studies were health knowledge, intentions and other psychological factors, self-reported and observed behaviours, clinical outcomes and health service utilization. Intervention studies overall demonstrated positive trends in health literacy-related outcomes, although the benefit declined after 3–6 months. Research on using waiting areas for health literacy purposes is increasing globally. Future research investigating the needs of consumers to inform optimal intervention design is needed.
Keywords: health information, health literacy, health service, waiting area
INTRODUCTION
Repurposing health service waiting areas from places to wait to ‘vectors of health education’ is not a novel idea (Ward and Hawthorne, 1994). Many health service waiting areas including hospitals, general practice and community clinics routinely offer health information, resources or supports (referred to collectively as ‘health resources’ from here on) for consumers (Moerenhout et al., 2013). However, the evidence underpinning this practice of distributing or offering health resources in health service waiting areas is unclear. Further, how the waiting area environment could be optimized to support the uptake and effectiveness of health resources is not known.
Waiting areas that are responsive to the health literacy needs of consumers have potential to contribute to health literacy and related outcomes such as knowledge, activation and health behaviours. Two facets of health literacy could be targeted in health service waiting areas: (i) the health literacy of individual consumers using waiting areas and (ii) the health literacy environment of the waiting area. At an individual level, health literacy is defined as the personal characteristics and social resources required for individuals to access, understand and use health information, as well as to make and enact health decisions (Dodson et al., 2017). As this definition indicates, health literacy influences people’s ability to make decisions and take actions which impacts on their health outcomes (Nutbeam et al., 2017). An individual’s health literacy is affected by how responsive the surrounding environment is to their needs, known as health literacy responsiveness. Health literacy responsiveness refers to the extent to which environments optimize access to and engagement with health information, supports and services (World Health Organization, 2022). In the context of health service waiting areas, factors such as the physical layout of the room, presentation of health resources, policies or processes governing the use of the waiting area and the social culture within the area could all affect an individual’s health literacy in this setting.
The way in which a health service uses its waiting area to contribute or respond to health literacy could vary considerably. Health resources could be designed and used for diverse purposes such as patient education or health promotion in support of prevention, disease management, treatment or service utilization (Walsh et al., 2019). Broadly speaking, quality health resources which meet the health literacy needs of consumers have been shown to benefit outcomes such as service use, health costs, patient experience, health behaviours and outcomes (Patient Information Forum, 2013). A study by Tu et al. (Tu et al., 2006) provides an example of quality health resources which positively impacted health behaviours in patients attending medical clinics. They created a culturally adapted motivational video and printed educational pamphlets encouraging Chinese American patients to complete colorectal cancer self-screening (Tu et al., 2006). Participants were provided with these educational materials along with a self-screening kit before or after their medical appointment. The intervention (video, pamphlet and self-screening kit) was found to increase the incidence of colorectal cancer self-screening (Tu et al., 2006). In this example, the intervention was designed to respond to patients’ health literacy needs by: providing information in different formats, communicating information in a culturally appropriate manner and providing the necessary tool (screening kit) for patients to enact the target health behaviour. In theory, developing quality health resources and distributing these in waiting areas could result in similar benefits.
In practice, the optimal design, type and distribution of health resources in waiting areas to benefit health literacy and related outcomes is unclear (Berkhout et al., 2018b). Therefore, this scoping review of the literature was indicated to map and describe the available literature on this topic (Peters et al., 2020). Prior to conducting the review, a preliminary search of four international registries confirmed there were no current or registered systematic or scoping reviews on the topic.
OBJECTIVES
The objective of this scoping review was to explore the use of waiting areas as a place to assess, promote, develop or respond to the health literacy of adult consumers attending outpatient or primary care health appointments. This review was also interested in mapping the types of interventions targeting health literacy and related outcomes in waiting areas, and the effects of such interventions.
Review questions
The research questions for this scoping review were:
What is known about the use of waiting areas in relation to health literacy at outpatient or primary care health services?
What types of interventions exist to target health literacy and related outcomes in waiting areas?
What are the outcomes arising from health literacy interventions in waiting areas?
METHODS
This scoping review was conducted in accordance with the Joanna Briggs Institute [JBI] methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping reviews [PRISMA-ScR] (Tricco et al., 2018; Peters et al., 2020). The term ‘waiting areas’ refers to waiting rooms or spaces or zones designated for patients waiting to attend outpatient or primary care health appointments.
Review protocol
An a priori protocol (McDonald et al., 2021b) can be accessed via an online open source tool: https://osf.io/m9ty4/.
Eligibility criteria
Articles were included if they focussed on health literacy or health literacy responsiveness or related outcomes (concept) in outpatient or primary care health service waiting areas (context) for adult consumers (population) (for details see Supplementary File 1). Published and grey literature sources were considered, including empirical studies, dissertations, opinion articles, conference papers and web sources. Only articles published in English were considered as no funding was available to translate research published in other languages. A publication year limit from 2010 onwards was imposed after initial searches revealed many studies published prior to this date did not reflect contemporary healthcare environments, especially with regard to digital health and technology.
Information sources
The search strategy was developed and adapted for each information source by an experienced health sciences librarian (C.V.) in collaboration with the lead author (C.M.). The first phase involved searching 10 bibliographic databases (via selected platforms) and one full-text archive in July 2021: MEDLINE (Ovid), EMBASE (Ovid), PsycINFO (Ovid), CINAHL Plus (EBSCO), Global Health (CABI), Cochrane Database of Systematic Reviews (Wiley), CENTRAL (Wiley), ERIC, Rehab Data, PEDro via Neuroscience Research Australia and PMC (NLM). No language or date limitations were imposed at this stage.
In the second phase, targeted searches for dissertations and web sources were conducted. Targeted searches were conducted in ProQuest dissertation and EBSCOhost Open Dissertations in September 2021. Web sources were searched in Google Scholar in October 2021. Then, authors were contacted to request additional information to determine eligibility (n = 30) with a response rate of 33%. Additional information was unable to be requested for 12 articles as current correspondence details for the authors could not be found. Finally, reference lists of included articles were scanned.
Search
The electronic search strategies are available in Supplementary File 2.
Selection of sources of evidence
Following the search, all identified citations were uploaded into Covidence data management software (Covidence systematic review software, Veritas Health Innovation, Melbourne, Australia available at www.covidence.org). Titles and abstracts of records from phase one searches were screened against the eligibility criteria by two independent reviewers (C.M., C.V., D.G. or A.D.). Titles and abstracts of records from phase two searches were screened by one reviewer (C.M.). Potentially relevant sources were retrieved in full. All full-text records were assessed by two independent reviewers (C.M., C.V., D.G., A.D., D.T., L.Ra. or E.H.). Disagreements were resolved through discussion and consensus, or by an independent third reviewer when required. Full-text sources which did not meet the inclusion criteria were excluded and reasons recorded.
Data charting and items
Data were charted into a modified version of the JBI data extraction tool adapted for this review (McDonald et al., 2021b). Data from included articles were extracted by two independent reviewers (C.M., L.Ra., E.H. or J.A.). A third independent reviewer checked the final primary data table (S.A., D.G. or C.V.).
Synthesis of results
Data were synthesized narratively and with presentation of descriptive summaries. Data were also presented graphically or in tabular form. To report the review findings, included articles were grouped into non-intervention studies and intervention studies. Non-intervention studies were summarized according to: availability of health resources, health topics, use of health resources, consumer perspectives, health professional perspectives and commentary/opinion articles. Intervention studies were summarized by: intervention type, findings, outcomes, evaluation approaches and intervention development processes. Due to the high volume of included articles, each data point was recorded and cross-checked in an excel spreadsheet to ensure accuracy. Critical appraisal is generally not recommended in scoping reviews (Peters et al., 2020); it was not pertinent to this review question and, therefore, was not undertaken. However, some issues with the quality of research and reporting were noted during data charting including failure to report the methods used to evaluate an intervention.
RESULTS
Study inclusion
After screening 3942 title/abstract records and 360 full-text records, a total of 122 records from 116 unique articles were included (Figure 1; also see Supplementary File 3 for reference list of included articles).
Fig. 1:
PRISMA flow diagram.
Characteristics of included articles
Of the 116 unique articles, most (n = 107) were empirical studies. A range of study designs were represented including quasi-experimental (n = 40), observational (n = 23), experimental (n = 14), other (n = 12), qualitative (n = 11), mixed methods (n = 5) and reviews of literature (n = 2). Included articles originated predominantly from North America (47%) followed by Europe (21%) and Oceania (18%). The rate of publications per year on this topic has been increasing with one third of the included articles published from 2019 onwards. Two-thirds of articles were focussed on metropolitan or urban geographical locations; six articles included both metropolitan and regional locations, and two articles were set in regional or rural areas only. Most studies were conducted in primary and community health settings (49%). Studies were also conducted in hospital outpatient services (25%), did not clearly specify the type of clinic or health service (10%), hospital emergency departments (9%) and across multiple settings (i.e. primary care and hospitals) (6%). See Supplementary File 4 for table and graph summaries of article characteristics and for additional detail see Supplementary File 5.
REVIEW FINDINGS
The findings are reported in three sections aligned with the research questions of this review.
Use of health service waiting areas in relation to health literacy
Availability of health resources in waiting areas
Nine articles assessed and/or described the availability of health resources in waiting areas (Gignon et al., 2012; Anon, 2014b; Keyworth et al., 2015; Protheroe et al., 2015; El-Haddad et al., 2016; Rodger et al., 2017; Maskell et al., 2018; McDonald et al., 2020; Whitehead et al., 2020). A variety of assessments were conducted on available items, such as: numerical counts of available resources (Anon, 2014b; Keyworth et al., 2015; Protheroe et al., 2015; El-Haddad et al., 2016; Maskell et al., 2018; McDonald et al., 2020; Whitehead et al., 2020), readability of information (Protheroe et al., 2015; El-Haddad et al., 2016), categorization of the content or health topics (Gignon et al., 2012; Anon, 2014b; Protheroe et al., 2015; El-Haddad et al., 2016; Maskell et al., 2018; McDonald et al., 2020; Whitehead et al., 2020), accessibility (Maskell et al., 2018) and reliability or quality of information (Anon, 2014b; Keyworth et al., 2015). To count or describe what was available in waiting areas, researchers used methods such as direct observation (Keyworth et al., 2015; Rodger et al., 2017; McDonald et al., 2020), audit (Gignon et al., 2012; Anon, 2014b; Protheroe et al., 2015; El-Haddad et al., 2016; Maskell et al., 2018; Whitehead et al., 2020) and/or content analysis (Keyworth et al., 2015; Protheroe et al., 2015; El-Haddad et al., 2016). The range of available resources identified in a single waiting area varied considerably from none (Keyworth et al., 2015) to 72 items (Maskell et al., 2018). Available resource types were posters (Gignon et al., 2012; Keyworth et al., 2015; Rodger et al., 2017; Maskell et al., 2018; McDonald et al., 2020; Whitehead et al., 2020), brochures (Gignon et al., 2012; Anon, 2014b; Rodger et al., 2017; McDonald et al., 2020; Whitehead et al., 2020), flyers/handouts (Keyworth et al., 2015; Maskell et al., 2018; McDonald et al., 2020), booklets (Whitehead et al., 2020) and signs (McDonald et al., 2020). The majority of articles reported on primary care settings (mostly general practice clinics, n = 5) (Gignon et al., 2012; Anon, 2014b; Protheroe et al., 2015; El-Haddad et al., 2016; Maskell et al., 2018), while the remainder were hospital outpatient services (n = 2) (Rodger et al., 2017; McDonald et al., 2020) and mixed settings (n = 2) (Keyworth et al., 2015; Whitehead et al., 2020).
Use of available health resources
There was limited information regarding the use of available health resources. One study reported they were not used by consumers in hospital antenatal clinics based on direct observation of the waiting area (Rodger et al., 2017) and another reported they were only rarely used in hospital outpatient rehabilitation settings based on direct and video-recorded observations of the waiting area (McDonald et al., 2020). However, one study in a rural general practice clinic found based on direct observation that consumers did browse available health resources, took leaflets and watched the health ‘infotainment’ television programme on display (Penry Williams et al., 2019).
Consumer perceptions and opinions about using waiting areas for health literacy-related purposes
Nine articles investigated broad research questions about the use of waiting areas for health literacy-related purposes (Cossey et al., 2014; Seibert et al., 2014; Varma et al., 2016; Rodger et al., 2017; Maskell et al., 2018; Ellis et al., 2019; Penry Williams et al., 2019; McDonald et al., 2021a, 2022). Data on consumer perceptions and opinions were collected via questionnaires or surveys (Seibert et al., 2014; Varma et al., 2016; Maskell et al., 2018; Ellis et al., 2019; Penry Williams et al., 2019) or via structured or semi-structured interviews (Cossey et al., 2014; Rodger et al., 2017; McDonald et al., 2021a, 2022). Consumers perceived waiting areas as an acceptable setting for receiving health information (Varma et al., 2016; Ellis et al., 2019). When given the opportunity to suggest improvements for the waiting area, consumers consistently requested greater variety in resource types and modes of delivering health information (Seibert et al., 2014; Varma et al., 2016; McDonald et al., 2021a, 2022).
Consumer perspectives differed regarding the usefulness and amount of available health resources (Cossey et al., 2014; Seibert et al., 2014; Rodger et al., 2017; Maskell et al., 2018). For example, in an emergency department waiting area, consumers wanted more information about how the department functioned and about serious health conditions (Seibert et al., 2014). Whereas in a sexual health clinic setting, consumers wanted fewer items with a focus on quality and well organized displays (Cossey et al., 2014). In general practice settings, consumers reported high agreement that they pay attention to health resources and find these useful; however, consumer perceptions were that displays were not well designed or attractive (Maskell et al., 2018). Contrastingly, in a hospital antenatal clinic, consumers reported printed health information did not resonate with their information needs (Rodger et al., 2017). Whether available information is perceived as meeting their needs may be a key factor underpinning consumer choices to use available health resources (Rodger et al., 2017; McDonald et al., 2021a, 2022). In terms of perceived impact of health resources on behaviours, in one study, consumers self-reported that they anticipated making an action or change in their behaviour based on available health information (Penry Williams et al., 2019).
Health professional perceptions and opinions about using waiting areas for health literacy-related purposes
Via surveys or interviews, five articles investigated the perspectives or opinions of health professionals on using waiting areas for health literacy-related purposes (Gignon et al., 2012; Beckwith et al., 2016; Bailey et al., 2017; Collins et al., 2017; Penry Williams et al., 2019). Four of these articles concluded that health professionals perceived value in offering health resources for patient education purposes in waiting areas (Gignon et al., 2012; Bailey et al., 2017; Collins et al., 2017; Penry Williams et al., 2019). Health professionals thought that when health resources had been carefully designed and selected they would be useful to or used by consumers (Gignon et al., 2012; Bailey et al., 2017; Collins et al., 2017; Penry Williams et al., 2019). Health professionals were more likely to have positive attitudes towards education in waiting areas if they: (i) experienced higher rates of patient enquiry about available materials during appointments; and (ii) perceived benefits of educational materials (Collins et al., 2017). In contrast, one article reporting a study in community health settings found that the majority of health professionals (71%) felt that waiting areas offered ‘little or no’ educational value (Beckwith et al., 2016). In this community health study, most providers (78%) stated that they ‘never’ referred patients to available health resources in their waiting area and perceived patients as doing other activities (i.e. using own mobile phone) to pass the time while waiting (Beckwith et al., 2016).
Three key benefits of providing patient education in waiting areas were perceived by health professionals. First, health professionals can review and select available items for quality control (Gignon et al., 2012; Collins et al., 2017). Secondly, educational materials could be useful and convenient resources for patients which supplement the health information they receive during their appointment (Gignon et al., 2012; Beckwith et al., 2016; Bailey et al., 2017). Thirdly, available health resources provided prior to an appointment might positively affect health communication or decision-making during the appointment; for example, by encouraging screening, supporting patients to raise ‘delicate’ subjects and facilitating dialogue about treatment options (Gignon et al., 2012).
Six key reservations were noted by health professionals about providing health resources in waiting areas: (i) maintaining patient privacy (Beckwith et al., 2016; Bailey et al., 2017; Penry Williams et al., 2019), (ii) avoiding anxiety or distress (Penry Williams et al., 2019), (iii) need for sustained infrastructure and management to maintain displays (Beckwith et al., 2016), (iv) need for information to be available in multiple languages (Beckwith et al., 2016), (v) additional time requirements for explaining materials to patients (Penry Williams et al., 2019) and (vi) potential delays to appointment start times if patients were engaged with health resources when called (Bailey et al., 2017). Additionally, some health professionals were reported to be uncertain about the efficacy of waiting area interventions, suggesting that such interventions may not change health behaviours (Bailey et al., 2017).
Arguments for using waiting areas as a vector for consumer education
Five commentary and opinion articles advocated for using waiting areas for patient education (Sherwin et al., 2013; Anon, 2014a, 2015; Solana, 2018; Quadri and Debes, 2020). Four of these articles referenced an exemplar study or cited relevant literature to support their position (Sherwin et al., 2013; Anon, 2014a, 2015; Quadri and Debes, 2020). One article did not reference any specific study or cite peer-reviewed literature to support their argument that a broadcasting system in a dental waiting area helped patients to learn about treatment options (Solana, 2018). One article proposed a number of potential interventions for waiting areas which could contribute to health literacy-related outcomes such as: providing a question prompt sheet or coaching tool to prepare for the imminent appointment, patient education material on relevant health topics or decision aids about treatment and screening options (Sherwin et al., 2013). Arguments proposed for using waiting time for education included that such approaches could be low cost (Anon, 2014a), popular with patients (Anon, 2014a), show improvements in health literacy (Anon, 2014a), scalable (Quadri and Debes, 2020), improve efficiency of patient–doctor consultations (Sherwin et al., 2013), improve patient satisfaction (Sherwin et al., 2013), easy to implement and maintain (Solana, 2018) and encourage patient inquiries about treatment options during consults (Solana, 2018).
Types of interventions that target health literacy and related outcomes in waiting areas
Health literacy interventions in waiting areas—type and mode of delivery
Many different types and modes of delivering interventions have been trialled in waiting areas. The most frequent type was audio-visual health information delivered via a television monitor or tablet (n = 19) (Eubelen et al., 2011; Merck et al., 2012; Tingey et al., 2013, 2014; Snead et al., 2014; Hellmers et al., 2016; Shah et al., 2016; Pereira et al., 2017; Alnasser et al., 2018; Berkhout et al., 2018b; Dineley et al., 2018; McIntyre et al., 2018, 2020a,b, 2021; Neumann et al., 2018; Ha et al., 2019; Lavaerts, 2019; McNab and Skapetis, 2019; Vangu et al., 2019; Aydin et al., 2021; Highland et al., 2021; Perera et al., 2021). The second type was interactive platforms (i.e. web-based educational modules) delivered via touchscreen computer kiosks or tablets (n = 15) (Pendleton et al., 2010; Price et al., 2010; Khan et al., 2011; Leijon et al., 2011; Yacoub and Mehta, 2011; Braam et al., 2012; Arora et al., 2013; Schwarz et al., 2013; Bailey et al., 2016; Pineda-del Aguila et al., 2018; Dempsey et al., 2019; Grant et al., 2019; Bertholet et al., 2020; Hendricks et al., 2020; Callegari et al., 2021). Written health information delivered via posters, brochures or handouts (n = 10) (Houry et al., 2010, 2011; Pydah and Howard, 2010; Giannitsioti et al., 2016; Natt et al., 2017; Berkhout et al., 2018a; Ginat and Christoforidis, 2018; Dowling et al., 2019; Ismail et al., 2019; Krebs et al., 2019; Kripalani et al., 2019) and a combination of types have also been trialled in different settings (i.e. audio-visual information plus written resources; n = 9) (Chan et al., 2010, 2015; Kharsany et al., 2010; Pawar et al., 2016; Shepherd et al., 2016; Kamimura et al., 2017; Asthana et al., 2018; Naeem et al., 2019; Patino et al., 2019). No studies were identified where all components of the health literacy environment were comprehensively targeted to improve the health literacy responsiveness of the waiting area.
Verbal delivery of health information was least commonly studied (n = 5) (Kuhrik et al., 2010; Reid et al., 2013; Hughes et al., 2015; Cardoso et al., 2019; Chaves et al., 2020). Verbal information was delivered either by health professionals (Kuhrik et al., 2010; Reid et al., 2013; Hughes et al., 2015) or students (Cardoso et al., 2019; Chaves et al., 2020) to individuals (Reid et al., 2013) or in groups (Kuhrik et al., 2010; Cardoso et al., 2019). Three articles reported that health resources were available in more than one language (Price et al., 2010; Kamimura et al., 2017; Vangu et al., 2019).
Health topics and content of interventions
Interventions reported in included articles covered five broad categories: (i) health promotion and prevention, (ii) health screening, (iii) health condition or treatment, (iv) health services and (v) other. Health promotion and prevention topics included sexual health, vaccination, healthy lifestyle, oral health and smoking cessation (Pendleton et al., 2010; Eubelen et al., 2011; Leijon et al., 2011; Braam et al., 2012; Schwarz et al., 2013; Snead et al., 2014; Bailey et al., 2016; Pawar et al., 2016; Shah et al., 2016; Kamimura et al., 2017; Pereira et al., 2017; Alnasser et al., 2018; Berkhout et al., 2018a; Dineley et al., 2018; Cardoso et al., 2019; Dempsey et al., 2019; McNab and Skapetis, 2019; Bertholet et al., 2020; Callegari et al., 2021). Health screening topics covered were cancer screening, intimate partner violence and genetic testing (Houry et al., 2010, 2011; Arora et al., 2013; Kripalani et al., 2019). Health conditions or treatments addressed included diabetes, stroke, cardiovascular disease, sexually transmitted infections, cancer and antibiotic use (Chan et al., 2010, 2015; Kharsany et al., 2010; Kuhrik et al., 2010; Price et al., 2010; Khan et al., 2011; Yacoub and Mehta, 2011; Reid et al., 2013; Hughes et al., 2015; Giannitsioti et al., 2016; Hellmers et al., 2016; Asthana et al., 2018; McIntyre et al., 2018, 2020a,b, 2021; Neumann et al., 2018; Pineda-del Aguila et al., 2018; Ha et al., 2019; Ismail et al., 2019; Naeem et al., 2019; Patino et al., 2019; Hendricks et al., 2020; Aydin et al., 2021; Highland et al., 2021; Perera et al., 2021). Health services topics included medical imaging and educational programmes (Merck et al., 2012; Tingey et al., 2013, 2014; Ginat and Christoforidis, 2018; Dowling et al., 2019; Krebs et al., 2019; Lavaerts, 2019; Vangu et al., 2019). Other topics were health communication, organ donation and medical chaperones (Pydah and Howard, 2010; Shepherd et al., 2016; Natt et al., 2017; Grant et al., 2019). Although rare, two studies offered health information on topics from more than one category (Tannenbaum et al., 2015; Chaves et al., 2020).
Intervention development and adaptation
Typically, health resources used in waiting area interventions were developed by health professionals with minimal (if any) input by consumers. However, there were a few examples of health tool development with considerable stakeholder engagement or participation (Myint-U et al., 2010; Gilliam et al., 2013; Burrows et al., 2016; Ruvalcaba et al., 2019; Neumann et al., 2020). Two examples of stakeholder engagement during health tool development were reported in Gilliam et al. (Gilliam et al., 2013) and Myint-U et al. (Myint-U et al., 2010). To develop a contraceptive counselling tablet application for women attending family planning clinics, Gilliam et al. (Gilliam et al., 2013) used human centred design principles. They conducted in-depth interviews with end-users, and drew on extant literature to develop a prototype which was then tested with end-users and further refined (Gilliam et al., 2013). Myint-U et al. used a theoretical framework to inform the educational video content for a sexual health clinic waiting area (Myint-U et al., 2010). They then collaborated with an external film company to create an engaging product, engaged clinic stakeholders in a multistep participatory process to inform intervention development, and pilot tested the final intervention (Myint-U et al., 2010).
Outcomes arising from health literacy interventions in waiting areas
Outcomes of interest in waiting area interventions
Outcomes of interest varied considerably in the included articles, depending on the study aims, intervention and context. Two key distinctions were noted. Outcomes either focussed on the use or experience of the intervention itself, or on the effects of the intervention. Studies investigating the perceptions or experiences of an intervention mostly focussed on consumers (Pendleton et al., 2010; Yacoub and Mehta, 2011; Reid et al., 2013; Schwarz et al., 2013; Hughes et al., 2015; Giannitsioti et al., 2016; Pawar et al., 2016; Shepherd et al., 2016; Natt et al., 2017; Ginat and Christoforidis, 2018; McIntyre et al., 2018; Ismail et al., 2019; Krebs et al., 2019; Kripalani et al., 2019; Patino et al., 2019; Vangu et al., 2019; Bertholet et al., 2020; Callegari et al., 2021; Highland et al., 2021) although two articles investigated both consumer and health professionals’ perspectives (Pawar et al., 2016; Dineley et al., 2018).
One study was identified which focussed on health literacy as an outcome of interest (Khan et al., 2011). All other articles measured health literacy-related outcomes: health knowledge (Chan et al., 2010, 2015; Price et al., 2010; Pydah and Howard, 2010; Khan et al., 2011; Yacoub and Mehta, 2011; Braam et al., 2012; Merck et al., 2012; Schwarz et al., 2013; Tannenbaum et al., 2015; Giannitsioti et al., 2016; Hellmers et al., 2016; Shah et al., 2016; Shepherd et al., 2016; Asthana et al., 2018; Dineley et al., 2018; Ginat and Christoforidis, 2018; Ha et al., 2019; Kripalani et al., 2019; Lavaerts, 2019; McNab and Skapetis, 2019; Patino et al., 2019; Hendricks et al., 2020; Perera et al., 2021); intentions (Arora et al., 2013; Bailey et al., 2016; Alnasser et al., 2018; Dempsey et al., 2019); other psychological factors such as beliefs, attitudes or self-efficacy (Price et al., 2010; Khan et al., 2011; Snead et al., 2014; Bailey et al., 2016; Kamimura et al., 2017; Dowling et al., 2019; Ismail et al., 2019; McIntyre et al., 2020a,b, 2021; Perera et al., 2021); self-reported health behaviours (Pydah and Howard, 2010; Khan et al., 2011; Leijon et al., 2011; Schwarz et al., 2013; Snead et al., 2014; Bailey et al., 2016; Pawar et al., 2016; Shepherd et al., 2016; Kamimura et al., 2017; Alnasser et al., 2018; Grant et al., 2019; McNab and Skapetis, 2019; McIntyre et al., 2020a,b, 2021); observed health behaviours (Neumann et al., 2018; Aydin et al., 2021); clinical outcomes (Kharsany et al., 2010; Eubelen et al., 2011; Khan et al., 2011; Bailey et al., 2016; Berkhout et al., 2018a; Dineley et al., 2018; Neumann et al., 2018; Pineda-del Aguila et al., 2018; Naeem et al., 2019; Perera et al., 2021); and health service utilization (Houry et al., 2010, 2011; Tingey et al., 2013, 2014; Patino et al., 2019).
Evaluation methods
Interventions were evaluated using: clinical outcome measures (Kharsany et al., 2010; Khan et al., 2011; Neumann et al., 2018; Pineda-del Aguila et al., 2018; Naeem et al., 2019); survey, questionnaire or knowledge test (Chan et al., 2010, 2015; Houry et al., 2010, 2011; Price et al., 2010; Pydah and Howard, 2010; Khan et al., 2011; Leijon et al., 2011; Yacoub and Mehta, 2011; Braam et al., 2012; Merck et al., 2012; Arora et al., 2013; Reid et al., 2013; Schwarz et al., 2013; Hughes et al., 2015; Tannenbaum et al., 2015; Bailey et al., 2016; Giannitsioti et al., 2016; Hellmers et al., 2016; Pawar et al., 2016; Shah et al., 2016; Shepherd et al., 2016; Kamimura et al., 2017; Natt et al., 2017; Alnasser et al., 2018; Asthana et al., 2018; Dineley et al., 2018; Ginat and Christoforidis, 2018; McIntyre et al., 2018, 2020a,b, 2021; Dempsey et al., 2019; Dowling et al., 2019; Grant et al., 2019; Ha et al., 2019; Ismail et al., 2019; Krebs et al., 2019; Kripalani et al., 2019; Lavaerts, 2019; McNab and Skapetis, 2019; Patino et al., 2019; Vangu et al., 2019; Bertholet et al., 2020; Hendricks et al., 2020; Callegari et al., 2021; Highland et al., 2021; Perera et al., 2021); observation (Patino et al., 2019; Aydin et al., 2021), audit of health records (Pendleton et al., 2010; Eubelen et al., 2011; Tingey et al., 2013, 2014; Bailey et al., 2016; Berkhout et al., 2018a; Neumann et al., 2018; Dempsey et al., 2019; Bertholet et al., 2020; Callegari et al., 2021; Perera et al., 2021), interviews (Shepherd et al., 2016) and secondary analysis (Snead et al., 2014). One study used a validated measure of health literacy: Rapid Estimate of Adult Literacy in Medicine—Short Form (REALM-SF) (Khan et al., 2011). Multiple evaluation approaches were used for some interventions (Khan et al., 2011; Bailey et al., 2016; Pawar et al., 2016; Shepherd et al., 2016; Dineley et al., 2018; Neumann et al., 2018; Dempsey et al., 2019; Patino et al., 2019; Bertholet et al., 2020; Callegari et al., 2021; Perera et al., 2021). Four articles did not report the measures they used which suggests that the reported findings may be anecdotal rather than formal research findings (Kuhrik et al., 2010; Pereira et al., 2017; Cardoso et al., 2019; Chaves et al., 2020).
Overview of intervention findings
Two reviews of the literature were identified from the search which reported on effectiveness of interventions in waiting areas (Cass et al., 2016; Berkhout et al., 2018b). An integrative review by Cass et al. (Cass et al., 2016) investigated the effectiveness of interventions for promoting healthy lifestyle behaviours across mixed settings (i.e. hospital or primary care). Both quantitative and qualitative findings were given equal significance (Cass et al., 2016). Most of the 33 included studies showed waiting area interventions had a positive influence on knowledge, intentions, healthcare use and behaviours with approximately one quarter rated as good quality (Cass et al., 2016). A systematic review by Berkhout et al. (Berkhout et al., 2018b) included 14 peer-reviewed articles exploring the impact of audio-visual aids (i.e. videos or slideshows) in general practice waiting areas. Six of the included studies demonstrated statistically significant improvements in consumer health knowledge or behaviours; however, studies could not be combined for meta-analysis due to heterogeneity and were assessed as low quality (Berkhout et al. 2018b).
Within this current scoping review, 59 articles reported on the effects of interventions. Most found positive trends and/or statistically significant improvements in at least one outcome relevant to this review (Table 1). Eight randomized controlled trials (RCTs) reported statistically significant improvements in a primary outcome as a result of their intervention (Chan et al., 2010; Houry et al., 2010, 2011; Khan et al., 2011; Schwarz et al., 2013; Grant et al., 2019; Ha et al., 2019; McIntyre et al., 2020a,b, 2021; Perera et al., 2021). The interventions in these RCTs which significantly improved health knowledge, health behaviours and clinical outcomes were: tailored educational videos about stroke (Chan et al., 2010); an interactive tool on a tablet educating consumers about health communication during medical consults (Grant et al., 2019); an educational tablet application about chronic hepatitis B in five languages (Ha et al., 2019); targeted educational handouts on intimate partner violence based on computer screening (Houry et al., 2010, 2011); computer multimedia programme on diabetes in 19 languages (Khan et al., 2011); education videos on a tablet about cardiovascular risk modification (McIntyre et al,. 2020a,b, 2021); a slideshow presentation about futility of antibiotics for upper respiratory tract infections (Perera et al., 2021); and an interactive computer module about contraception (Schwarz et al., 2013). All of these eight RCTs involved digital-based interventions.
Table 1:
Summary of intervention studies and quality improvement projects
Study | Health literacy intervention | Health topic | Methods used to evaluate intervention | Outcome |
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Alnasser et al. (2018) | Audio-visual health information via tablet | Breastfeeding | Survey—intention to breastfeed |
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Arora et al. (2013) | Health information via interactive platform in computer kiosk | Cancer screening | Survey—readiness to change and intention to change behaviour |
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Asthana et al. (2018) | Verbal and written health information provided by medical student volunteers | Heart failure | Quiz—to check understanding of condition and self-management strategies Healthcare utilization—ED revisits, hospital readmissions, hospital LOS |
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Aydin et al. (2021) | Audio-visual health information via television monitors | Respiratory inhaler technique | Observation—inhaler technique using reliable scale |
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Bailey et al. (2016) | Health information via interactive platform on tablet | Sexual health | Questionnaire—motivation, intention, beliefs, sexual practices, health-related quality of life, health service use Audit—STI diagnoses or suspected diagnoses recorded in clinical record |
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Berkhout et al. (2018b) | Written health information via posters and pamphlets | Influenza vaccination | Audit—vaccination status extracted from the health insurance fund records |
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Bertholet et al. (2020) | Health information via interactive platform on tablet Written health information via poster to encourage use of tablet and human prompt to use tablet |
Substance use | Audit—electronic data recording screening and intervention use Questionnaire—acceptability of intervention |
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Braam et al. (2012) | Health information via interactive platform on tablet | Salt intake | Questionnaire—knowledge of salt and effect on health |
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Callegari et al. (2021) | Health information via interactive platform on tablet and summary print out | Reproduction and contraception | Survey—experiences of programme, knowledge and self-efficacy regarding reproductive health Audit—website analytic data |
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Cardoso et al. (2019) | Verbal health information provided by medical students Written health information via booklets |
Sleep hygiene | No formal evaluation described—anecdotal observations |
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Chan et al. (2010) | Audio-visual and written health information and verbal health information provided by educator | Stroke | Quiz—stroke-related knowledge |
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Chan et al. (2015) | Audio-visual, verbal, written and combination health information | Stroke | Quiz—stroke-related knowledge |
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Chaves et al. (2020) | Verbal health information provided by nursing students | Healthy lifestyle and hypertension self-management | No formal evaluation described—anecdotal observations |
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Dempsey et al. (2019) | Health information via interactive platform on a tablet | Human papillomavirus vaccination | Survey—intention to receive vaccine Audit—vaccine uptake in clinical record |
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Dineley et al. (2018) | Audio-visual health information on a tablet | Contraception | Survey—patient knowledge of contraceptive options and choices Survey—patient and clinician acceptability of video |
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Dowling et al. (2019) | Written health information via infographic poster | Medical imaging | Survey—beliefs about CT scans and willingness to discuss scan with doctor |
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Eubelen et al. (2011) | Audio-visual health information via television with loudspeakers | Tetanus vaccination | Audit—vaccine prescriptions collected by five local pharmacists |
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Giannitsioti et al. (2016) | Written health information via leaflet | Antibiotic use | Survey—opinions about antibiotic use and quality of information provided |
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Ginat and Christoforidis (2018) | Written health information via leaflet | Medical imaging | Survey—assess patient understanding of MRI scan procedure and opinions about intervention |
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Grant et al. (2019) | Health information via interactive platform on tablet | Health communication | Survey—autonomy, self-reported involvement in care |
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Ha et al. (2019) | Audio-visual health information on tablet | Chronic hepatitis B | Survey—knowledge of chronic hepatitis |
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Hellmers et al. (2016) | Audio-visual health information via interactive platform on tablet | Parkinson’s disease | Survey—knowledge of Parkinson’s disease medication |
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Hendricks et al. (2020) | Health information via interactive platform | Human immunodeficiency virus | Survey—knowledge of HIV prevention, treatment and cure |
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Highland et al. (2021) | Audio-visual health information on tablet | Pain | Survey—rate information and educational approach |
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Houry et al. (2010, 2011) | Written health information and resources on handouts | Intimate partner violence, and substance dependence | Survey—self-reported engagement with community resources/health services |
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Hughes et al. (2015) | Verbal health information provided by radiographers using a computer-based tool | Radiotherapy | Survey—open text responses on information |
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Ismail et al. (2019) | Written health information on leaflet | Arthritis | Survey—willingness to taper drugs and feedback about leaflet |
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Kamimura et al. (2017) | Verbal health information and support in a group provided by students | Women’s health and healthy lifestyle | Survey—health consciousness, health information seeking behaviour, health attitude and interest in attending a women’s health class in the future |
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Khan et al. (2011) | Health information via interactive platform on computer | Diabetes | Clinical outcome measures Survey—health literacy, self-management, knowledge and self-efficacy |
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Kharsany et al. (2010) | Verbal and written health information in group provided by counsellors | Human immunodeficiency virus | Clinical outcome measures—HIV screening using rapid antibody assays |
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Krebs et al. (2019) | Written health information on poster | Health service processes | Survey—acceptability and usefulness of poster |
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Kripalani et al. (2019) | Written health information via handbook | Genetic testing | Survey—knowledge and opinions about intervention |
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Kuhrik et al. (2010) | Verbal health information provided by nursing staff | Cancer care | No formal evaluation described—anecdotal observations? |
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Lavaerts (2019) | Audio-visual health information via television monitors | Medical imaging | Survey—knowledge of role of radiologist |
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Leijon et al. (2011) | Health information via interactive platform on computer kiosk | Physical activity | Survey—physical activity scores |
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McIntyre et al. (2018) | Audio-visual health information on tablets | Hypertension | Survey—perceived video acceptability, utility and motivational behaviour change with different types of videos |
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McIntyre et al. (2020a,b, 2021) | Audio-visual health information on tablets | Cardiovascular disease | Survey—self-reported behaviours, motivation to improve lifestyle, self-reported lifestyle changes |
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McNab and Skapetis (2019) | Audio-visual health information on DVD/television | Oral health | Survey—oral health knowledge and behaviour |
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Merck et al. (2012) | Audio-visual health information on tablet | Medical imaging | Survey—knowledge about CT imaging and preferences |
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Naeem et al. (2019) | Audio-visual health information on a television monitor Written health information on handout |
Relaxation techniques for mental well-being | Self-reported clinical outcome measures—anxiety, depression, perceived well-being, self-reported disability |
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Natt et al. (2017) | Written health information on pamphlet | Organ donation | Survey—feedback on pamphlet, emotional response to information Audit—registration numbers from donor registry |
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Neumann et al. (2018) | Audio-visual health information on television monitor Written health information on posters |
Human immunodeficiency virus | Clinical outcome measures—viral load suppression Audit—clinic attendance, medication prescription documented in record indicating treatment initiation |
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Patino et al. (2019) | Audio-visual health information on tablet Written health information on handout |
Medication | Observation—time in clinic Survey—evaluate knowledge and experience of appointment |
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Pawar et al. (2016) | Written health information on bulletin board Audio-visual health information on television Verbal health information provided by nursing staff |
Healthy lifestyle | Patient survey—self reported behaviour changes Provider survey—perceptions about initiative |
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Pendleton et al. (2010) | Health information via interactive platform on computer kiosk | Healthy lifestyle | Audit—data collected in kiosk |
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Pereira et al. (2017) | Audio-visual health information via electronic tool | Smoking cessation | Not reported |
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Perera et al. (2021) | Audio-visual health information on tablet (slide presentation) | Antibiotic use | Survey—expectations about antibiotic prescription for upper respiratory tract infections and self-reported receipt of antibiotics prescription Audit—check if prescription for antibiotics was dispensed via national database |
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Pineda-del Aguila et al. (2018) | Health information via interactive platform in computer kiosk | Diabetes | Clinical outcome measures—blood test |
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Price et al. (2010) | Health information via interactive platform on computer kiosk | Antibiotic use | Survey—assessed knowledge of acute respiratory infections, effectiveness of antibiotics and patients’ desire for antibiotics |
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Pydah and Howard (2010) | Written health information on poster | Medical chaperones | Survey—knowledge of chaperones and frequency of accessing chaperones |
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Reid et al. (2013) | Verbal health information provided by diabetes nurse | Diabetes | Survey—feedback on education Not reported how changes to medications were evaluated |
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Schwarz et al. (2013) | Health information via interactive platform on computer kiosk | Sexual health | Survey—knowledge and use of contraception and feedback on intervention |
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Shah et al. (2016) | Audio-visual health information on television monitor | Oral health | Survey—knowledge of oral health |
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Shepherd et al. (2016) | Audio-visual health information on tablet Written health information on pamphlet and via website |
Health communication | Survey—usefulness information for health decision-making Interviews—patient experience and acceptability |
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Snead et al. (2014) | Audio-visual health information on television monitor | Sexual health | Secondary analysis of self-reported health behaviours and psychosocial factors |
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Tannenbaum et al. (2015) | Health information (type and mode of delivery not reported) |
Diagnostics and medication use | Survey—knowledge of tests and treatments |
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Tingey et al. (2013, 2014) | Audio-visual health information on television monitor | Rheumatology support | Audit—attendance at education day was tracked by billing codes |
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Vangu et al. (2019) | Audio-visual health information on television monitor | Medical imaging | Survey—feedback on video |
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Yacoub and Mehta (2011) | Health information via interactive platform | Multiple myeloma | Survey—knowledge after the programme and patients’ acceptance of the e-notebook format |
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CT, computerized tomography; ED, emergency department; HIV, human immunodeficiency virus; LOS, length of stay; MRI, magnetic resonance imaging; STI, sexually transmitted infection.
Indicates overall positive outcomes/trends.
Indicates overall neutral outcomes/trends i.e. minimal change in primary outcomes.
Indicates overall negative outcomes/trends i.e. no benefit or change in primary outcomes.
Indicates statistical significance in at least one outcome relevant to this review. Please refer to Supplementary File 5 for further details for each article.
Indicates that outcome measures or data analysis methods were not clearly reported which suggests that reported findings may be anecdotal observations not empirical findings.
Two experimental studies powered to detect differences reported that there were no significant changes in clinical outcomes resulting from their respective interventions: pamphlets and posters promoting vaccination against influenza (Berkhout et al., 2018a); and an interactive web-based intervention educating about human papillomavirus vaccine to prevent human papillomavirus infection and related cancers (Dempsey et al., 2019). No studies reported harm or adverse events resulting from waiting area interventions.
Of the experimental studies, benefits achieved immediately after intervention exposure had typically declined at follow-up (i.e. 1-, 3- or 6-month timepoints) (Chan et al., 2010; Schwarz et al., 2013; Grant et al., 2019; Ha et al., 2019; McIntyre et al., 2020a,b, 2021), with two exceptions where benefits were retained at 3 months (Houry et al., 2011; Asthana et al., 2018). One observational study found that consumers recalled viewing the educational video in waiting areas at the 3-month follow-up and concluded that the video was a memorable communication tool (Besera et al., 2016).
DISCUSSION
This comprehensive scoping review of the literature has identified that there is a rapidly growing evidence-base investigating the use of health service waiting areas for contributing to health literacy and related outcomes. Articles set in primary care, community health and hospital outpatient waiting areas were identified confirming that this is common across different healthcare settings. An increase in publications over the past 2–3 years from many countries, indicates that globally healthcare providers are considering and evaluating ways to use their health service waiting areas to benefit consumers.
A key finding of this review was that diverse interventions targeting health literacy-related outcomes such as health knowledge, behaviours, clinical outcomes and health service utilization are being trialled in outpatient and primary care waiting areas. Interestingly, only one study was identified that used a common or validated health literacy-specific measure: REALM-SF (Khan et al., 2011). The REALM-SF has limitations with its psychometric properties and assesses a narrow range of skills (i.e. reading ability) which may not be reflective of contemporary conceptualizations of health literacy (Jordan et al., 2011). No studies were identified which used contemporary multi-dimensional measures of health literacy (such as the Health Literacy Questionnaire). Also of note, no articles were identified which targeted waiting areas within a broader health literacy responsiveness intervention. This indicates several considerations for future health literacy-related research in waiting areas, including: using health literacy-specific measures to directly measure health literacy; selecting appropriate and contemporary health literacy measures; and developing comprehensive interventions which target all components of the health literacy environment.
Most commonly, waiting areas are being used to deliver education about health conditions or for health promotion purposes via audio-visual and interactive digital platforms. Most studies reported positive findings. Digital interventions or mixed interventions (i.e. more than one type of health tool) show promise for significantly improving health knowledge, behaviours and clinical outcomes. This aligns with a systematic review by Friedman et al. (Friedman et al., 2011) which found that use of computer technology was an effective teaching strategy for patient education and that using multiple strategies may both be viable and enhance outcomes. However, in our review we found that benefits may be short lived based on a small number of studies which re-assessed outcomes at 3–6 months and in most cases reported that benefits had declined. This suggests that further research is needed to determine how to optimize the longevity of benefits from waiting area interventions.
The varied waiting area intervention types identified in this review may be explained by the diverse consumer populations and settings represented in the included articles. Waiting area interventions were typically tailored to the local context and anticipated needs of consumers. Most waiting area interventions can be classified as ‘complex interventions’, which are often highly dependent on context (Skivington et al., 2021). It is recommended that complex interventions develop and test programme theory: a description of how the intervention is expected to lead to its effects and under what conditions (Skivington et al., 2021). However, most of the included intervention studies lacked this. Programme theory can benefit intervention development, implementation and evaluation by making the intervention and its mechanisms explicit, promoting shared understanding of the intervention amongst stakeholders, and considering how context may influence the intervention (Van den Broucke, 2012; Skivington et al., 2021). Future intervention studies in waiting areas may benefit from developing and testing programme theory.
Increased consumer participation in future waiting area design and intervention development is necessary. A limited number of studies focussed on consumer perspectives, reported that available health resources were not fully satisfying consumer needs and could be improved. Problematically, relatively few articles reported consumer input during health tool development. This is a major oversight within existing literature as consumer input is considered essential for producing quality health information (Patient Information Forum, 2013). Future research in this field must involve partnership with consumers (i.e. via codesign). Based on the findings of qualitative and observational studies in this review, partnering with consumers would be of benefit when: determining how waiting areas could be best used to benefit health literacy and related outcomes in a particular setting, designing the waiting area environment so that it is responsive to consumer needs and accessible, and also during the development of health resources for waiting areas.
Strengths and limitations
Strengths of this comprehensive scoping review include the systematic and broad search of the literature designed by a health sciences librarian, screening and data extraction by two independent reviewers, and a third reviewer checked primary data tables to enhance rigour. Additionally, studies were included across a range of settings. A limitation was that empirical studies were excluded if their intervention was not focussed on the waiting area. For example, excluded studies sometimes used the waiting area as one part of an intervention with multiple components [i.e. waiting area posters plus clinician training plus reminder letter (Hussain et al., 2021)]. We acknowledge that such interventions, which incorporate the waiting area but are not solely focussed on the waiting area, could also be effective.
CONCLUSION
This scoping review found that health service waiting areas are being used in diverse ways to contribute to consumer health literacy-related outcomes. Many interventions show promise for benefitting consumer health outcomes; however, further research is needed to ascertain the most effective approaches in outpatient and primary care settings. Future studies would benefit from incorporating a theory-informed approach and increased consumer participation to inform intervention development.
Supplementary Material
Acknowledgements
The authors would like to acknowledge and thank Laura Ruaux, Ellie Hall and Jacqui Avakian for their assistance with screening full-text articles and data extraction.
Contributor Information
Cassie E McDonald, Department of Physiotherapy, The University of Melbourne, Parkville, VIC 3010, Australia; Allied Health - Physiotherapy, The Royal Melbourne Hospital, Parkville, VIC 3052, Australia; Allied Health, Alfred Health, Melbourne, VIC 3004, Australia.
Catherine Voutier, Health Sciences Library, The Royal Melbourne Hospital, Parkville, VIC 3052, Australia.
Dhruv Govil, Department of Business Intelligence and Reporting, Bass Coast Health, Wonthaggi, VIC 3995, Australia.
Aruska N D’Souza, Department of Physiotherapy, The University of Melbourne, Parkville, VIC 3010, Australia; Allied Health - Physiotherapy, The Royal Melbourne Hospital, Parkville, VIC 3052, Australia.
Dominic Truong, Department of Physiotherapy, The University of Melbourne, Parkville, VIC 3010, Australia.
Shaza Abo, Department of Physiotherapy, The University of Melbourne, Parkville, VIC 3010, Australia; Allied Health - Physiotherapy, The Royal Melbourne Hospital, Parkville, VIC 3052, Australia.
Louisa J Remedios, Department of Physiotherapy, The University of Melbourne, Parkville, VIC 3010, Australia; Department of Physiotherapy, Federation University, Churchill, VIC 3842, Australia.
Catherine L Granger, Department of Physiotherapy, The University of Melbourne, Parkville, VIC 3010, Australia; Allied Health - Physiotherapy, The Royal Melbourne Hospital, Parkville, VIC 3052, Australia.
Funding
The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: Dr McDonald was supported by an Australian Commonwealth Government Research Training Program Scholarship.
Conflict of Interest
Three authors of this scoping review—Cassie E. McDonald, Louisa J. Remedios and Catherine L. Granger—were also authors on three included articles. Two independent reviewers (co-authors or acknowledged contributors) who were not involved in the included articles were responsible for the screening, data extraction and data checking of these articles. The other authors declare that there is no conflict of interest to disclose.
Ethical Approval
As this is a review, ethical approval was not required.
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