Abstract
Objective
To describe the application of cocreation/codesign in maternal health, characterise reported processes (including barriers/facilitators) and summarise clinical and experiential outcomes without inferring causal effects.
Methods
Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a comprehensive search of PubMed, MEDLINE, Embase, Cochrane Library and ScienceDirect (2014–2025) identified 1487 records. After deduplication and screening, 60 studies were included in this review. The eligibility criteria encompassed qualitative and quantitative studies employing cocreation or codesign in maternal or obstetric care, with open-access English full texts. Two blinded reviewers screened the studies using Rayyan and resolved conflicts by consensus agreement. Data extraction followed the Cochrane guidelines, and a narrative synthesis was performed because of study heterogeneity. The risk of bias was assessed using the Newcastle-Ottawa Scale, risk-of-bias 2 and the Risk Of Bias In Non-Randomised Studies - of Exposure (ROBINS-E) tools.
Results
Across 60 heterogeneous studies, cocreation and codesign were used to develop and adapt psychosocial support, communication and feedback interventions and digital tools such as decision-support and telemonitoring systems. Studies most often reported process and experiential outcomes, including acceptability, satisfaction, engagement and perceived relevance, to users and communities. The designs, contexts and outcome measures varied, and comparative evidence was limited. Common challenges included power imbalances, time and resource constraints, and difficulties in spreading and sustaining interventions. The reported enablers included early and ongoing stakeholder involvement, iterative cycles and attention to access barriers, including digital inclusion.
Conclusion
When cocreation and codesign are clearly described and suited to the context, they can support culturally relevant and equitable maternal care by incorporating stakeholder voices into service and intervention development. The current evidence does not support firm conclusions regarding effectiveness. Future work should transparently report codesign methods, specify the intended mechanism and context, and evaluate codesigned interventions with stronger comparative designs and longer follow-ups.
PROSPERO registration number
CRD42024622020.
Keywords: Healthcare quality improvement, Health policy, Implementation science
WHAT IS ALREADY KNOWN ON THIS TOPIC
Cocreation and codesign methodologies have been used in various healthcare fields to improve patient engagement, intervention relevance and care quality.
While these approaches have shown promise in enhancing health outcomes, their application in maternal healthcare remains understudied.
Existing reviews have focused on specific geographical contexts or broader public health domains rather than systematically evaluating their impact on maternal health.
WHAT THIS STUDY ADDS
This systematic review synthesises evidence from 60 studies, demonstrating that cocreation and codesign methodologies are associated with improved maternal mental health, strengthened provider–client relationships and enhanced digital interventions.
These approaches contribute to culturally relevant patient-centred maternity care by fostering stakeholder engagement and addressing systemic barriers to care.
However, challenges such as power imbalances, resource constraints and scalability limitations remain unresolved.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
This study highlights the need for a standardised framework to evaluate and implement cocreation in the field of maternal health.
Policymakers should support scalable, community-driven models, invest in digital equity and integrate stakeholder-driven training programmes to improve the quality of maternity care.
Future research should focus on longitudinal assessments, intersectional approaches and digital innovations to enhance the global maternal health outcomes.
Introduction
Background
The field of maternal health has undergone significant advancements in recent decades; however, challenges related to patient safety, care quality and maternal outcomes persist.1 In response, healthcare systems worldwide are increasingly adopting quality improvement (QI) strategies aimed at enhancing clinical practices, reducing maternal morbidity and mortality and ensuring safe and effective care for pregnant women. One innovative approach to improving healthcare quality is through codesign and cocreation.2 3
Cocreation, codesign and coproduction are often used interchangeably to describe collaborative processes involving multiple stakeholders in the development of initiatives.4 5 Cocreation refers to a holistic, collaborative approach in which diverse stakeholders engage in creative problem-solving across all stages of an initiative, from identifying the problem to generating solutions for its implementation and evaluation. By contrast, codesign focuses more specifically on the active collaboration of stakeholders in designing solutions to a problem that has already been identified. Both approaches emphasise inclusivity and shared ownership, ensuring that the resulting initiatives are tailored to the needs and perspectives of all participants.4
Cocreation fosters the participation of a wide range of stakeholders, including community members, health workers and policymakers, in public health interventions. Involving these diverse groups in planning and development can facilitate not only implementation but also sustainability and scalability of interventions.6 Furthermore, engaging stakeholders in the design and execution of interventions is believed to result in more contextually relevant solutions, greater satisfaction and improved adherence to recommended practices. The first examples of experience-based codesign (EBCD) in healthcare emerged from head-and-neck cancer clinics7 8 and were subsequently applied in various settings, such as emergency health services,9 cancer care,10 neonatal care,11 outpatient services for the elderly12 and mental health.13 14 In health services research, codesign activities are frequently described using ‘user-centred’ or ‘human-centred’ design (UCD/HCD) terminology. UCD is defined by ISO 9241–210 as an approach that makes systems ‘usable and useful’ by focusing on users, their needs and context through iterative cycles across the design lifecycle; as such, it provides the methodological and theoretical backbone for many codesign projects in healthcare.5 7 15
QI projects in obstetrics, particularly those focused on maternal health, can significantly benefit from codesigned methodologies.6 16 Recent studies have demonstrated the effectiveness of codesign in improving information delivery practices during pregnancy and childbirth, enhancing staff-patient communication and streamlining critical care pathways.17 Despite these advancements, a significant research gap remains in understanding the broader applicability, effectiveness and challenges of codesign and cocreation methodologies, specifically in obstetric and maternal care settings. Given the growing number of emerging projects in obstetrics and maternity care, a comprehensive synthesis of the international evidence base is timely and necessary. Existing systematic reviews have often been limited in scope, focusing on a specific geographical context,18 examining barriers and facilitators of research participation rather than co-creation per se,19 or addressing the effectiveness of co-creation in research across international health literature without a specific focus on maternal or obstetric care.3 These limitations have created a critical gap in the evidence base, particularly in understanding how cocreation and codesign can be systematically applied to improve maternal health outcomes in diverse settings.
Therefore, we set out four objectives to guide the review: first, to describe how cocreation and codesign methodologies have been applied in maternal health across settings, populations and intervention types; second, to characterise the codesign processes reported and synthesise the barriers and facilitators to their implementation; third, to summarise the reported outcomes associated with these approaches, including process, clinical and experiential outcomes (without inferring causal effects); and fourth, to identify key gaps to inform future research priorities and policy development.
Our purpose is descriptive and integrative rather than causal; we do not evaluate the effectiveness of codesign. By mapping the principles and practices of cocreation/codesign to the contexts in which they were applied, we identified plausible mechanisms through which these approaches may influence care delivery and patient experience and highlighted recurrent implementation barriers and facilitators. Taken together, this review provides a consolidated evidence base to inform the design, implementation and evaluation of future quality-improvement initiatives in obstetrics, supporting context-appropriate, user-responsive strategies and generating hypotheses for studies that can rigorously test impact and equity effects.
Methods
This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The protocol for this review was registered with PROSPERO (CRD42024622020). No amendments were made.
Search strategy
A comprehensive search strategy was employed across four electronic databases: PubMed, MEDLINE, Embase and the Cochrane Library, using the following combination of keywords and Boolean operators: (‘codesign’ OR ‘co-design’ OR ‘cocreation’ OR ‘co-creation’ OR ‘participatory design’ OR ‘user-centered design’ OR ‘co-production’ OR ‘stakeholder engagement’) AND (‘obstetric care’ OR ‘maternal health’ OR ‘childbirth’ OR ‘intrapartum care’ OR ‘pregnancy’ OR ‘maternity services’ OR ‘perinatal care’). Owing to the limitations of using Boolean operators in ScienceDirect, a simplified search strategy was applied using (codesign OR cocreation OR stakeholder engagement) AND (pregnancy OR childbirth OR maternal health OR obstetric care OR intrapartum care OR maternity services) (online supplemental file 1). The reference lists of the included studies were manually reviewed to identify further relevant articles. Because our review examined how collaborative design is used to shape maternal health services/interventions, we prioritised cocreation/codesign in the analysis while still searching for coproduction to avoid missing eligible studies that used that label.
Eligibility criteria
Inclusion criteria
Both qualitative and quantitative studies that used cocreation or codesign methodologies in obstetric or maternal care settings were eligible for inclusion. Only open-access full-text articles in English were considered, with studies published from 2014 until 1 January 2025.
The exclusion criteria were as follows: studies that did not involve stakeholder participation in the design process or were not specific to obstetric or maternal care. Review articles, editorials, conference abstracts, commentaries, book chapters and protocols were excluded.
Study selection
The study selection process was conducted using a blinded approach in two steps via the semiautomated tool Rayyan, with one author (KR) as the reviewer and the other (KJ) as the collaborator. In the first round, title abstract screening and removal of duplicates were performed, with conflicts resolved by a third author (MR). Moreover, the second round also adopted a similar blinded approach for full-text screening, with conflicts resolved by the author mentioned earlier. All titles, abstracts and full texts were independently screened by two authors (KR, KJ). The study selection process followed the PRISMA 2020 flow diagram (figure 1) for updated systematic review.20
Figure 1. PRISMA 2020 flow diagram for study selection after initial filtering.20 PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

Data extraction
Data extraction was performed according to the Cochrane Handbook for Systematic Reviews of Interventions.21 The initial data extraction was conducted by one author and cross-checked by the second and third authors. Finally, the fourth author … verified data completeness. Conflicts among the authors were discussed, and discrepancies were settled (through consensus). Data extraction was systematically performed for each included study, focusing on predefined key study characteristics, including author(s), year of publication, study location, study objectives, study design, stakeholder involvement, interventions developed, challenges encountered and the overall impact of the interventions.
Data synthesis
Given the expected heterogeneity in study designs, populations and outcomes, a narrative synthesis was performed to summarise the findings. The synthesis emphasised the reported outcomes associated with cocreation or codesign approaches in maternal health, identifying key trends, patterns and lessons learnt across the included studies. However, a meta-analysis was not conducted because of the mixed nature of the included evidence.
Risk of bias assessment
Quality assessment of cohort and case–control studies was performed using the Newcastle-Ottawa Scale (NOS).22 The randomised controlled trial (RCT) quality was assessed using the Cochrane risk-of-bias (RoB2) tool.23 For other non-randomised studies, we used the ROBINS-E tool to examine the potential biases.24
Results
The PRISMA flowchart illustrates the process of identifying and selecting studies for this systematic review (figure 1). Initially, 1487 records were identified from multiple databases, including PubMed (241), MEDLINE (95), Embase (911), ScienceDirect (171) and Cochrane Library (69). Before screening, 483 duplicate records were removed, leaving 1004 for screening. After the initial screening, 926 records were excluded from this study. These 78 reports were assessed for eligibility, resulting in the exclusion of 18 reports, 8 due to ongoing studies and 10 reporting incomplete data. Finally, 60 studies were included in this review (table 1, online supplemental file 2).
Table 1. Summary of included studies (n=60).
| Author/country | Coapproach/framework | Participants/stakeholders | Intervention | Findings/conclusion |
|---|---|---|---|---|
| Isangula et al (Tanzania)25 | Cocreation/codesign | MCH nurses, clients, administrators (30) | Patient-centred care promotion, awards, strengthen complaints mechanism, disciplinary measures | HCD enabled joint problem-solving and therapeutic relationship strengthening |
| Isangula et al (Tanzania)26 | Co-design | Nurses, clients, administrators and local NGOs | Workshops developing behaviour change solutions | Co-design builds commitment and improves provider-client relations |
| Kenyon et al (UK)27 | Co-design (EBCD) | Clinicians and service users | Revised referral and decision process for CS requests | New pathway acceptable to both staff and women |
| Mamani-Mategula et al (Malawi)28 | Co-design (EBCD) | End-users and healthcare providers (n=40) | Mitigation strategies for REVAMP-TT trial | Co-design revealed barriers and facilitators for implementation |
| Jith et al (India)29 | Cocreation | Local governments (PRIs), CBOs, CSOs | Community collaboration platforms | PRIs enable participation and implementation of nutrition programmes |
| Chomat et al (Guatemala)30 | Codesign | Circle leaders (16) | Group CBT, IPT, mindfulness activities | Feasible and acceptable psychosocial support for indigenous women |
| Nagraj et al (India)31 | Codesign (HCD) | ASHAs and primary care doctors | Mobile decision-support+training | Co-design enhanced acceptability and implementation |
| Yang et al (China)32 | Codesign | Pregnant women & midwife | Group sessions+WeChat reminders | High acceptability and feasibility |
| Bogale et al (Palestine)33 | Codesign | Women and providers (26 total) | Text-message ANC reminders | Co-designed messages bridged ANC gaps |
| Whybrow et al (UK)34 | Codesign | Women with chronic hypertension and clinicians | Shared-decision tool for chronic hypertension patients | Reduced decisional conflict, improved intentions |
| McKellar et al (Australia)35 | Codesign | Mothers, midwives, technology designers | Digital mental-health tracking tool | Useful for self-monitoring and help-seeking |
| Wright et al (NZ)36 | Codesign | Midwives, physicians, administrators | MatCHAT decision-support system | Feasible but contextual barriers exist |
| Fair et al (UK)37 | Cocreation/codesign | Healthcare providers and service users | Survey+stakeholder feedback | Need for more services and clear communication |
| Ellis et al (Australia)38 | Codesign | Peer workers and health staff | Online module for perinatal ED | Improved knowledge and confidence |
| Carlin et al (Australia)39 | Codesign | Aboriginal women and healthcare providers | KMMS screening tool | Culturally appropriate screening possible |
| Osaki et al (Tanzania)40 | Cocreation | Frontline providers and experts | Locally adapted PartoMa clinical guidelines | Engagement and reflexivity improved uptake |
| Stewart et al (Gambia)41 | Cocreation/codesign | Women, midwives, CBCs, Kanyelengs and griots | Music-based mental health intervention | Cross-disciplinary partnerships enhance cultural fit |
| AlJaberi (USA)42 | Codesign | Low-income transmigrant women+healthcare experts | mHealth pregnancy platform | Highlighted social sharing needs and gaps |
| Ba et al (Mali)43 | Codesign | Midwives, mothers, designers, MOH representatives | MMS branding and counselling package | High acceptability; guides local adaptation |
| Feroz et al (Pakistan)44 | Codesign | Pregnant women, clinicians, healthcare providers, digital health experts | Mobile telemonitoring programme | Feasible solution for high-risk pregnancies |
| Jenkinson et al (Australia)45 | Codesign (PDSA) | Consumers, midwives, healthcare experts, legal experts | Guideline and support resources | First formal framework for choice-enabling care |
| Molina et al (USA)46 | Codesign | Clinicians and Spanish-speaking patients | Communication tool | Enhanced trust and cross-language engagement |
| Sharma et al (UK)47 | Coproduction | Local service users and healthcare providers | Community education intervention | Feasible and acceptable approach to ANC timing |
| Hall et al (UK)48 | Codesign (person-based) | Mental health experts and mothers | Mindfulness and nature activities | Tailored programme improved mood and well-being |
| Mancinelli et al (Italy)49 | Codesign | Pregnant women and psychologists | e-Learning modules (guided vs unguided) | Interest high but unguided model unfeasible |
| Venkateswaran et al (Bangladesh)50 | Codesign | End users (2016–2018) | Digital registry with decision support | Reduced perinatal mortality but implementation issues |
| Auxier et al (Finland)51 | Cocreation | Pregnant women, nurses, technology engineers | ŌURA smart ring use | Co-creation aided personalised eHealth |
| Sequeira D’mello et al (Tanzania)52 | Cocreation (AHEAD model) | Postnatal women and healthcare staff, public health experts | Respectful Maternity Care tool | Contextualised and validated for routine use |
| Murugesu et al (Netherlands)53 | Cocreation (IM+UCD) | Healthcare providers and clients | Conversation aid+training | Supports HL-sensitive SDM but time-intensive |
| Blomgren et al (Uganda)54 | Cocreation (CFIR) | Midwives, policy makers, doctors, recent mothers | Peer-learning and education materials | Strengthened midwifery practice and collaboration |
| Metta et al (Tanzania)55 | Codesign | Postpartum women, healthcare staff | Input for QI intervention | Empathic care low; mistreatment normalised |
| Kildea et al (Australia)56 | Codesign | First Nations community and services | Birthing on country model | Improved maternal and infant outcomes |
| Silver et al (Canada)57 | Codesign (Joyce’s principle) | Inuit & Cree participants+perinatal providers | Cultural safety training and supports | Enhanced cultural safety and family presence |
| Fietta et al (Italy)58 | Codesign | Pregnant women, women with breast cancer, psychologists, clinicians | Mobile stress-management app | Usable and supportive digital tool |
| Meloncelli et al (Australia)59 | Codesign (COM-B/BCW) | Researchers+women with GDM | Dietary education and enablement intervention | Clear and replicable complex intervention |
| Mndala et al (Malawi)60 | Cocreation | Healthcare staff, district officers, patients | Updated health passport book | Improved documentation and care quality |
| Hunter et al (Africa, SE Asia, EMRO regions)61 | Codesign | Midwifery experts (Europe) | Education assessment tool (MATE) | Culturally relevant tool for midwifery education |
| Harris et al (UK)62 | Codesign | Midwives and midwifery educators | Educational training package | Helpful but needs further adaptation |
| Mancinelli et al (Italy)63 | Codesign | Pregnant women, psychologists, digital health developers | Behavioural activation chatbot | Need balance between tech and human support |
| Musie et al (S. Africa)64 | Cocreation (SPO model) | Maternity care experts and TBAs | Collaboration framework | Framework guides policy and practice improvement |
| Bitar et al (Sweden)65 | Codesign (five phases) | Multidisciplinary team and users | Multimodal communication app | Need for cultural sensitivity and usability |
| Amoakoh et al (Ghana)66 | Cocreation (EBCD/PRODUCES) | 120 stakeholders (policy, providers, patients, survivors of HDP) | Risk communication and SDM toolkit | Supports clinical and experiential quality of care |
| Álvarez-Pérez et al (Belgium, Denmark, Italy, Spain, Sweden)67 | Codesign (CoPs) | Pregnant and lactating women, midwives, lactation experts | Online MOOCs | Improved self-perceived digital literacy |
| Merriel et al (UK)68 | Codesign | Postnatal and antenatal women, midwives, clinicians, psychologists | Structured ANE session | Deliverable and positively received |
| Waddell et al (Australia)69 | Codesign | Clinicians, health service leaders, patients, policy makers | SDM training and patient portal | Guides policy-to-practice transition |
| Hanrahan et al (UK, Ireland)70 | Codesign (mixed methods) | Healthcare professionals and service users | ENCOUNTER app | Acceptable behaviour-change tool |
| Melwania et al (Tasmania)71 | Codesign (workshops) | Public health and maternal health professionals | System and policy recommendations | Empowers women and informs policy |
| Keedle et al (Australia)72 | Codesign | Service users and maternity organisations | Cross-sectional online survey | Data to inform service design |
| Salmon et al (UK)73 | Codesign | Pregnant women, recent mothers, public health providers, healthcare professionals, policy actors | Physical activity resources | Collaborative methods improve relevance |
| Borbolla Foster et al (Australia)74 | Codesign (action process) | Consumers and multidisciplinary team | Population-based first-trimester pathway | Aligned care model reduced risks |
| Wiseman et al (UK)75 | Codesign | Midwives, pregnant and postnatal women | Group ANC model (pregnancy circles) | Valued relationships; implementation challenges |
| Haith-Cooper et al (UK)76 | Codesign | Midwives and postnatal women | 3 min animated video | Feasible educational tool |
| Parsons et al (UK)77 | Codesign (IM) | Pregnant women, healthcare providers, public health professionals | Animated risk communication tool | Implemented in UK campaigns |
| Christiansen et al (Denmark)78 | Cocreation+BCW | Postpartum parents, healthcare professionals, IT experts | App with videos and weight tracking with notifications | Met user needs and supported behaviour change |
| Blewitt et al (Australia)79 | Codesign (IM protocol) | Community-service employees (women 18–45 years) and project staff | HiPPP Portal—digital workplace programme for healthy lifestyle | Feasible and beneficial; IM offers a structured roadmap for collaborative design |
| Guyatt et al (Australia)80 | Codesign (CFIR framework) | Expectant and new parents, healthcare providers | Comprehensive perinatal education programme | Framework provides guidance for theory-based implementation in maternity care |
| Klingberg-Allvin et al (East & Southern Africa)81 | Cocreation (workshops) | Researchers, health ministry representatives, FIGO experts, NGOs, media partners | Regional workshops and training curricula | Built capacity and networks; co-creation vital for sustainable CAC delivery |
| Bosak et al (USA)82 | Codesign (adapted EBCD) | Women with lived experience, SUD treatment providers | Input for residential treatment programme design | Highlighted structural and relational barriers; emphasised trauma-informed care |
| Harrison et al (Australia)83 | Cocreation (RCT design) | 13 pregnant women with GDM | Cocreated infographic+standard education | Improved short-term knowledge and self-efficacy for exercise |
| Meloncelli (Australia)84 | Codesign (PAR+MRC guidelines) | Women with GDM experience, researchers | Dietary intervention—healthy gut diet | Reproducible and adaptable intervention per TIDieR guidelines |
ANC, antenatal care; ANE, antenatal education; ASHA, Accredited Social Health Activists; BA, behavioural activation; BCW, behaviour change wheel; CAC, comprehensive abortion care; CBC, community birth companions; CBO, community-based organisations; CBT, cognitive–behavioural therapy; CFIR, Consolidated Framework for Implementation Research; CHW, community health workers; COM-B, capability, opportunity, motivation—behaviour; CoP, communities of practice; CS, caesarean section; CSO, Civil Society Organizations; DAISI, Digital Animation In Service Improvement; EBCD, experience-based co-design; ED, eating disorder; GDM, gestational diabetes mellitus; HCD, human-centred design; HiPPP, health in planning, pregnancy and postpartum; HL, health literacy; ICT, Information and Communication Technology; IM, intervention mapping; IMAP, initial maternity assessment and planning; IPT, interpersonal therapy; KMMS, Kimberley Mum’s Mood Scale; MATE, Midwifery Assessment Tool for Education; MCH, maternal and child health; MMS, multiple micronutrient supplementation; MOH, Ministry Of Health; MOOC, Massive Open Online Courses; MRC, Medical Research Council; NGO, non-governmental organisation; PAR, participatory action research; PDSA, Plan-Do-Study-Act; PFMT, pelvic floor muscle training; PPI, Patient and Public Involvement; PRIs, Panchayat Raj Institutions; RCT, randomised controlled trial; RMC-T, Respectful Maternity Care Tool; SDM, shared decision-making; SPO, structure-process-outcome; SPOT, severe pre-eclampsia adverse outcome triage; SUD, substance use disorder; TBA, traditional birth attendants; TCC, targeted client communication.
This systematic review examined a diverse range of cocreation and codesign interventions for maternal health, across multiple settings. The included studies employed HCD,25 26 EBCD27 28 and stakeholder-driven participatory methodologies to develop interventions aimed at enhancing maternal mental health, antenatal care (ANC), midwifery education, respectful maternity care (RMC) and digital health solutions. The authors commonly reported stakeholder engagement, service delivery changes and patient-reported benefits (table 1, online supplemental file 2).
Our review included studies spanning a broad mix of designs: RCTs (n=5), pilot/feasibility trials (n=8), mixed-methods (n=12), qualitative/ethnographic (n=15) and development/implementation studies (n=20). Geographically, evidence came from Africa (n=14), Asia (n=12), Europe (n=10), Australasia (n=8), North America (n=9) and Latin America (n=7), with particularly high representation from Tanzania, India and Australia. Aims clustered around maternal mental health (n=12), digital innovation/decision support (n=15), RMC/shared decision-making (SDM) (n=10), ANC/nutrition (n=8), midwifery education/QI (n=5) and broader maternal outcomes (n=10), illustrated by interventions such as the JuNEX app (Italy), Respectful Maternity Care Tool (RMC-T) (Tanzania) and Kimberley Mum’s Mood Scale (KMMS) (Australia). Across this corpus, authors most often reported process outcomes (eg, stakeholder engagement, acceptability and feasibility), followed by clinical/service indicators (eg, ANC attendance, hypertension screening, perinatal outcomes) and patient-reported experiences (eg, mental health, satisfaction, empowerment), including improved screening rates with KMMS and reduced decisional conflict in a UK trial.
Applications of cocreation and codesign in maternal health
This review shows that codesign approaches in pregnancy and obstetric care have been applied in implementation and intervention studies that have used collaborative methods to improve maternal health outcomes. Many studies have refined and tested interventions that integrate UCD with evidence-based practice. For example, Jith et al29 examined evidence-based nutritional interventions for pregnant women in Kerala, emphasising the importance of embedding the local context into intervention planning to enhance the effectiveness of maternal nutrition programmes.
RCTs are frequently used to evaluate codesigned obstetric care interventions. Chomat et al30 used an RCT to test women’s circles for mental health within pregnancy care. As the field standard for estimating intervention impact, RCTs provide robust evidence of the effectiveness of cocreated solutions for improving maternal health. RCTs by Nagraj et al and Yang et al further assessed digital tools and behavioural interventions in maternal health, illustrating the versatility of codesign in contemporary healthcare settings.31 32
Developmental and implementation work focuses on building and testing these interventions. Bogale et al33 used a participatory approach to develop tools for electronic health registries for pregnant women in Palestine. Such studies evaluate feasibility and acceptability and consider scalability across health-system contexts. A multisite NHS implementation of a SDM intervention for women with chronic hypertension used mixed methods and the RE-AIM framework to assess reach, effectiveness and acceptability, highlighting the centrality of stakeholder engagement in complex maternity care interventions.34
Pilot studies also help establish the feasibility of codesigned approaches in pregnancy and obstetric care. McKellar et al35 piloted a codesigned digital mental-wellbeing tool for pregnant women to ensure alignment with user needs. Isangula et al25 reported pilot work aimed at strengthening provider–client relationships in maternal healthcare, spanning the design and testing phases before a scale-up. The MatCHAT study used a mixed-methods feasibility design to evaluate a digital screening and clinical decision-support tool for midwives, identify contextual implementation barriers and emphasise the role of digital innovation in perinatal care.36
Mixed-method designs are also common in this field. Fair et al37 combined qualitative and quantitative approaches to examine healthy weight services during pregnancy, providing insights into both development processes and measurable outcomes. Ellis et al38 used a pre–post design to evaluate an online education module for managing peripartum eating disorders, tracking changes in knowledge and behaviour. A convergent mixed-methods study on self-monitoring eHealth systems blended wearables with interviews to show how pregnant women adapt to digital health tools, framing access as an evolving co-creation process. KMMS implementation similarly used a comprehensive mixed-methods strategy to scale a culturally adapted perinatal screening tool.39
Codesign is prominent in ethnographic and qualitative work, where adaptation to culture and context is central to the process of design. Osaki et al40 applied ethnographic methods to tailor interventions to specific cultural settings, and Stewart et al41 used qualitative methods to explore the contribution of social singing to perinatal mental health in Gambia. A participatory action research study with Caribbean transmigrant women in the USA investigated mHealth technologies for pregnancy well-being, emphasising culturally relevant social and entertainment features.42 In Bamako, Mali, a qualitative study assessed micronutrient supplementation strategies, highlighting stakeholder-led adaptations to improve adherence.43 In Pakistan, an interpretive qualitative study explored telemonitoring preferences among high-risk pregnant women, reinforcing the need for a contextualised design in low-income and middle-income countries.44 Participatory research in Queensland, Australia, supported respectful care guidelines for women who declined the recommended maternity services.45
Design-based approaches, such as HCD, have been used to address language and trust barriers in pregnancy care. One study cocreated a communication tool with Spanish-speaking patients and clinicians, adapting the ‘The Five Habits’ model to maternity care.46 A UK community-based intervention combined coproduction with implementation science to improve timely ANC initiation among diverse low-income populations, demonstrating the importance of equity-driven codesign.47
Reported outcomes associated with codesign
Maternal mental health
Cocreation methods have been widely used to develop culturally appropriate and context-specific mental health interventions for mothers. In Guatemala, Chomat et al30 implemented the Women’s Circles Program, a psychosocial support model involving Indigenous women, community health workers and maternal health experts to promote peer support, emotional well-being and resilience during economic hardship and social isolation. In England, Hall et al48 designed a nature-based intervention featuring guided outdoor activities, sensory meditation and mindfulness-based exercise to support postnatal mental health in mothers. Mancinelli et al49 introduced JuNEX, a chatbot-based digital behavioural-activation tool codesigned with perinatal mental health specialists and expectant mothers in Italy; reported benefits included reductions in maternal anxiety, improved emotional self-regulation and greater engagement with ANC. In New Zealand, Wright et al36 developed MatCHAT via codesign with midwives and mental health professionals to integrate e-screening and decision support for depression, anxiety, substance use and family violence screenings. Although well received, implementation has been limited by workforce and infrastructure constraints in the past. In Western Australia, Carlin et al39 implemented a KMMS codesigned by Aboriginal women and observed increased perinatal mental health screening and more comprehensive identification of concerns in remote settings.
Strengthening healthcare provider–client relationships
Improving provider–client relationships is another major focus. In Tanzania, Isangula et al25 used a HCD to identify communication challenges, provider attitudes and patient satisfaction issues through stakeholder workshops. Codesigned responses included recognition and incentive programmes for nurses, complaints/feedback mechanisms for patients and patient-centred care training for providers. The findings indicated improved trust, higher satisfaction and better adherence to ANC protocols, reinforcing the value of patient–provider collaboration.
Digital innovations and decision-support systems
Cocreated digital solutions are becoming increasingly prevalent. In Bangladesh, Venkateswaran et al50 developed an eRegistry codesigned by midwives, obstetricians and policymakers, integrating clinical decision support, targeted client communication and a facility dashboard to improve maternal health. Reported improvements included timelier ANC attendance and hypertension screening as well as technical integration and data sharing challenges. In India, Nagraj et al31. co-developed SMARThealth Pregnancy, a mobile clinical decision-support system for community health workers managing high-risk pregnancies, with reported gains in early risk detection, ANC visits and patient–provider interactions. In the USA, AlJaberi42 explored mHealth codesigned with low-income Caribbean transmigrant women, highlighting the need for social support and entertainment features to reduce isolation and increase engagement. Auxier et al51 studied cocreation using a perinatal eHealth self-monitoring system in Finland. Access to wearables and personalised dashboards supported adaptive self-care behaviours, with language preferences highlighting the importance of personalisation and linguistic accessibility. In Pakistan, Feroz et al44 examined user needs for a telemonitoring programme for high-risk pregnancies, with patients and providers prioritising real-time data sharing, automated guidance and language-specific interfaces; enthusiasm was tempered by digital literacy and device accuracy concerns. In New Zealand, Wright et al36 evaluated MatCHAT as a codesigned e-screening and decision-support tool, while valued for data capture and resources, broader adoption was limited by translation needs and concerns about replacing face-to-face interactions.
RMC and shared decision-making
RMC and SDM are also important. In Tanzania, Sequeira D’mello et al52 developed the RMC-T to assess and improve women’s experiences, identifying communication gaps, provider biases and mistreatment concerns that were addressed via codesigned educational materials and staff training; reported outcomes included improved empathy, reduced mistreatment and higher satisfaction among providers. In the Netherlands, Murugesu et al53 codeveloped a conversation aid and training to strengthen SDM, reporting improved health literacy, confidence and communication skills. In the UK, Whybrow et al34 implemented an SDM intervention for pregnant women with chronic hypertension, codesigned decision aids, infographics and staff training, reporting reduced decisional conflict (mean reduction of 42%) and increased willingness to take antihypertensive medication. Acceptability, appropriateness and feasibility were judged to be high, with recommendations for multilingual resources and interpreter access to support equity in healthcare.
Codesign processes and implementation determinants
Codesign shows clear promise in maternity care and service redesign, but its effects are sometimes shaped by on-the-ground reality. Ethnographic work on adapting intrapartum guidelines in Tanzania shows how power asymmetries surface throughout cocreation (who sets agendas, whose evidence ‘counts,’ who speaks in mixed-cadre rooms), often tilting participation towards consultation rather than SDM unless processes explicitly redistribute voice (eg, facility-led participant selection, shared facilitation and early, transparent planning).40
Operational determinants are equally influential. In a midwife-led quality-improvement cocreation, participants repeatedly identified workload, limited space, high patient volumes, staff turnover and uneven skills mix as reasons that seemingly ‘simple’ evidence-based practices (continuous support, alternative birth positions, perineal protection) stall without protected time, champions and train-the-trainer structures.54 These constraints also explain why teams gravitate towards what can be delivered within the existing infrastructure and routines.
The sociocultural context further shapes this uptake. Women in rural Tanzania described fragmented, one-way communication, normalised mistreatment and exclusion from decisions; expectations for empathic, respectful care were often low and gatekeeping around companionship remained common because of norms and space constraints.55 Codesigned improvements that elevate women’s voice, strengthen respectful communication and address structural barriers (eg, space for companions) are therefore preconditions for meaningful participation, not ‘nice-to-haves.’
Countervailing facilitators have been well documented. In Australia, a codesigned, community-governed ‘Birthing on Country’ service that integrates continuity of midwifery carers, a strengthened First Nations workforce and culturally safe wrap-around supports improved core outcomes (greater antenatal engagement, lower preterm birth and higher exclusive breastfeeding) relative to standard care, demonstrating how multiagency partnership and community governance can translate cocreation into durable system change.56
Finally, iterative feedback loops operationalise learning. Experience-based co-design in a UK maternity pathway used interviews with surface ‘touchpoints,’ separate and joint workshops to negotiate priorities, and staged redesign with visible pathway changes (‘you said-we did’), illustrating how reflexive monitoring sustains fidelity to user intent while enabling adaptation.27
Risk of bias and quality assessment
The quality of cohort and case–control studies was assessed using the NOS (figure 2).22 The quality of each RCT was assessed using the Cochrane RoB2 tool (figure 3).23 For all other non-randomised studies, we incorporated the ROBINS-E tool (figure 4) to examine potential biases.24 The risk of bias and quality assessment also employed a similar approach as described in the Data extraction section, with conflicts resolved through discussion.
Figure 2. Newcastle-Ottawa Scale (NOS) for assessing the quality of the cohort studies (n=2).22.

Figure 3. Cochrane risk-of-bias (RoB2) tool for the assessment of randomised controlled trials included in the systematic review (n=5).23.

Figure 4. Assessment of the risk of bias in non-randomised studies via the Risk of Bias In Non-Randomised Studies - of Exposure (ROBINS E tool) (n=55*).*Including the two cohort studies which were also assessed using Newcastle-Ottawa Scale.24.

Discussion
The integration of cocreation and codesign methodologies into obstetric and maternal healthcare has demonstrated transformative potential, fostering culturally relevant, patient-centred interventions that address systemic challenges in care quality, accessibility and equity. This systematic review synthesises evidence from 60 studies across diverse settings, revealing three core themes: (1) the adaptability of codesign to address context-specific barriers, (2) its role in enhancing stakeholder engagement and trust and (3) its capacity to drive innovation in digital and mental health interventions. Below, we contextualise these findings within the broader literature, outline their unique implications for maternal healthcare and propose actionable directions for future research and practice.
Key contributions and alignment with the literature
Our findings align with codesign applications in other health domains, where stakeholder collaboration improves intervention relevance and patient satisfaction.3 4 For example, digital tools such as SMARThealth Pregnancy31 and eRegMat50 mirror successes in chronic disease management, where UCD enhances adherence and usability. Similarly, improved provider–client relationships through codesigned training programmes25 26 53 resonate with advancements in palliative care, where communication tools strengthen therapeutic alliances.10 However, maternal healthcare distinctively prioritises cultural congruence, as seen in interventions such as women’s circles30 and Birthing on Country models,56 which integrate traditional practices to bridge gaps in care access, which is less pronounced in standardised chronic disease care frameworks. This emphasis on cultural safety highlights the need for hyper-localised approaches to maternal health, where generational and gender-based inequities disproportionately affect outcomes.57 Consistent with the literature, our synthesis indicates that the primary mechanism of codesign in maternity care is relational and power attending; it builds trust, shared understanding and contextual fit, thereby supporting communication, SDM, cultural safety and implementation, rather than the development of novel pharmacologic or surgical interventions.
Challenges and unique considerations
While the benefits of codesign are evident, implementation barriers, hierarchical power dynamics, resource constraints and stakeholder fatigue echo the challenges observed in mental health and digital innovation studies.35 36 58 Maternal healthcare faces added complexities, such as a dual focus on immediate clinical outcomes and long-term and generational impacts. For example, gestational diabetes prevention programmes59 and anaemia management strategies28 not only improve maternal health but also mitigate intergenerational risks, necessitating sustained engagement, which is uncommon in acute care contexts. Furthermore, the integration of digital solutions in low-resource settings35 49 highlights the tension between technological feasibility and cultural acceptability, which requires iterative adaptation that is not present in high-resource settings.
Implications for policy and practice
To maximise the impact, policymakers should prioritise three key areas: (1) scalable community-led models (programmes such as Tanzania’s RMC-T52 and Malawi’s antenatal case notes60 demonstrate that locally adapted tools, developed with healthcare workers and patients, improve care adherence and reduce mistreatment); (2) digital equity (investments in low-tech platforms (eg, SMS-based systems50) and telehealth infrastructure can bridge gaps in rural and underserved regions, provided they are codesigned with end users to address literacy and access barriers) and (3) workforce training (midwifery education frameworks,61 educational interventions for continuity of care mode,62 and SDM aids34 53 warranting the need for codesigned training programmes that simultaneously enhance provider empathy and technical skills). Furthermore, policymakers should continue to invest in cocreation/codesign capacity and its transparent reporting, especially in digital and implementation contexts, to maximise the likelihood that policies and services are implementable, context-fit and adopted at scale.
Future research directions
Future studies should prioritise the long-term efficacy of these treatment options. Few studies have assessed the durability of the codesigned interventions. Longitudinal evaluations are critical for understanding sustainability. Another area of focus is digital mental health; scalable, low-cost tools require testing in diverse populations to address postpartum depression and anxiety. Finally, using intersectional approaches, research must explore how codesign can address overlapping inequities to ensure inclusive solutions.
Limitations
This systematic review has several limitations that must be acknowledged. First, the inclusion criteria were restricted to full-text articles published in English from 2014 onward, which may have introduced language and publication bias by excluding relevant studies published in other languages or outside the selected timeframe. Second, the review encompassed a wide variety of study designs, including RCTs, pilot studies, mixed methods and qualitative approaches, which, while reflecting the multifaceted nature of cocreation and co-design in maternal health, resulted in considerable heterogeneity in the findings. This heterogeneity precluded the possibility of conducting a meta-analysis and limited the ability to draw firm conclusions regarding the effectiveness of the interventions studied. Third, our search strategy prioritised studies that documented codesign/cocreation activities and, given heterogeneous reporting, did not systematically classify primary intent (ie, codesign to develop an intervention vs evaluation of a codesigned intervention), which may limit interpretability across aims, despite our narrative grouping by stated intents.
Furthermore, the exclusion of grey literature might have omitted additional evidence that could provide further insight into the application and impact of codesign methodologies in diverse settings. The inherent complexity of codesign interventions, characterised by their multifaceted processes and context-specific adaptations, further complicates the attribution of observed outcomes solely to the cocreation process. External factors, such as resource availability and local contextual differences, may have confounded the results, making it difficult to isolate the specific contribution of codesign to improved maternal health outcomes.
Another notable limitation is the scarcity of long-term follow-up data in many of the included studies, which restricted the evaluation of the sustainability and enduring impact of codesigned interventions on maternal health outcomes. Finally, the lack of standardised definitions and evaluation frameworks for cocreation and codesign across studies poses challenges for comparability and generalisability, emphasising the need for future research to adopt more uniform reporting and assessment tools to address this gap. Despite these limitations, this review provides valuable insights into the potential benefits and challenges of integrating codesign methodologies into obstetric and maternal healthcare.
Conclusion
By focusing on stakeholder voices, codesign methodologies offer a pathway to equitable and innovative maternal healthcare. Their success hinges on contextual adaptability, sustained community engagement and policy support, principles that must guide future research and implementation to achieve global maternal health equity.
Supplementary material
Footnotes
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Provenance and peer review: Not commissioned; externally peer-reviewed.
Patient consent for publication: Not applicable.
Ethics approval: Not applicable.
Data availability statement
All data relevant to the study are included in the article or uploaded as supplementary information.
References
- 1.Pavalagantharajah S, Negrin AR, Bouzanis K, et al. Facility-Based Maternal Quality of Care Frameworks: A Systematic Review and Best Fit Framework Analysis. Matern Child Health J. 2023;27:1742–53. doi: 10.1007/s10995-023-03702-8. [DOI] [PubMed] [Google Scholar]
- 2.Grindell C, Tod A, Bec R, et al. Using creative co-design to develop a decision support tool for people with malignant pleural effusion. BMC Med Inform Decis Mak. 2020;20:179. doi: 10.1186/s12911-020-01200-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Halvorsrud K, Kucharska J, Adlington K, et al. Identifying evidence of effectiveness in the co-creation of research: a systematic review and meta-analysis of the international healthcare literature. J Public Health (Bangkok) 2021;43:197–208. doi: 10.1093/pubmed/fdz126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Vargas C, Whelan J, Brimblecombe J, et al. Co-creation, co-design, co-production for public health – a perspective on definitions and distinctions. Public Health Research and Practice. 2022;32:3222211. doi: 10.17061/phrp3222211. [DOI] [PubMed] [Google Scholar]
- 5.Masterson D, Areskoug Josefsson K, Robert G, et al. Mapping definitions of co-production and co-design in health and social care: A systematic scoping review providing lessons for the future. Health Expect. 2022;25:902–13. doi: 10.1111/hex.13470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Greenhalgh T, Jackson C, Shaw S, et al. Achieving Research Impact Through Co-creation in Community-Based Health Services: Literature Review and Case Study. Milbank Q. 2016;94:392–429. doi: 10.1111/1468-0009.12197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Bate P, Robert G. Experience-based design: from redesigning the system around the patient to co-designing services with the patient. Qual Saf Health Care. 2006;15:307–10. doi: 10.1136/qshc.2005.016527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Pickles J, Hide E, Maher L. Experience based design: a practical method of working with patients to redesign services. Clin Gov. 2008;13:51–8. doi: 10.1108/14777270810850634. [DOI] [Google Scholar]
- 9.Iedema R, Merrick E, Piper D, et al. Codesigning as a Discursive Practice in Emergency Health Services: The Architecture of Deliberation. J Appl Behav Sci. 2010;46:73–91. doi: 10.1177/0021886309357544. [DOI] [Google Scholar]
- 10.Tsianakas V, Robert G, Maben J, et al. Implementing patient-centred cancer care: using experience-based co-design to improve patient experience in breast and lung cancer services. Support Care Cancer. 2012;20:2639–47. doi: 10.1007/s00520-012-1470-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gustavsson SMK. Improvements in neonatal care; using experience-based co-design. Int J Health Care Qual Assur. 2014;27:427–38. doi: 10.1108/IJHCQA-02-2013-0016. [DOI] [PubMed] [Google Scholar]
- 12.Bowen S, Dearden A, Wolstenholme D, et al. Different views: including others in participatory health service innovation; 2011. [DOI] [Google Scholar]
- 13.Boyd JE, Adler EP, Otilingam PG, et al. Internalized Stigma of Mental Illness (ISMI) scale: a multinational review. Compr Psychiatry. 2014;55:221–31. doi: 10.1016/j.comppsych.2013.06.005. [DOI] [PubMed] [Google Scholar]
- 14.Larkin M, Boden ZVR, Newton E. On the Brink of Genuinely Collaborative Care: Experience-Based Co-Design in Mental Health. Qual Health Res. 2015;25:1463–76. doi: 10.1177/1049732315576494. [DOI] [PubMed] [Google Scholar]
- 15.Design Council Framework for innovation: the double diamond. 2019. https://www.designcouncil.org.uk/our-resources/the-double-diamond/ Available.
- 16.Curran JA, Grimshaw JM, Hayden JA, et al. Knowledge translation research: the science of moving research into policy and practice. J Contin Educ Health Prof. 2011;31:174–80. doi: 10.1002/chp.20124. [DOI] [PubMed] [Google Scholar]
- 17.Kynoch K, Tuckett A, McArdle A, et al. Challenges and Feasibility of Co-Design Methods for Improving Parent Information in Maternity Care. IJERPH. 2022;19:3764. doi: 10.3390/ijerph19073764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.George S, Duran N, Norris K. A systematic review of barriers and facilitators to minority research participation among African Americans, Latinos, Asian Americans, and Pacific Islanders. Am J Public Health. 2014;104:e16–31. doi: 10.2105/AJPH.2013.301706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bonevski B, Randell M, Paul C, et al. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med Res Methodol. 2014;14:42. doi: 10.1186/1471-2288-14-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Haddaway NR, Page MJ, Pritchard CC, et al. PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Syst Rev. 2022;18:e1230. doi: 10.1002/cl2.1230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Higgins JPT, Thomas J, Chandler J, editors. Cochrane Handbook for Systematic Reviews of Interventions. Cochrane; 2024. p. 5.https://training.cochrane.org/handbook Available. [Google Scholar]
- 22.Wells GA, Shea B, O’Connell D, et al. The Ottawa Hospital; 2021. The newcastle-ottawa scale (nos) for assessing the quality of nonrandomised studies in meta-analyses.https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp Available. [Google Scholar]
- 23.Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. doi: 10.1136/bmj.l4898. [DOI] [PubMed] [Google Scholar]
- 24.Higgins JPT, Morgan RL, Rooney AA, et al. A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E) Environ Int. 2024;186:108602. doi: 10.1016/j.envint.2024.108602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Isangula K, Pallangyo ES, Ndirangu-Mugo E. Interventions co-designed by healthcare providers and clients for improving therapeutic relationships in maternal and child healthcare: a pilot study using human centered design in rural Tanzania. BMC Nurs. 2023;22:314. doi: 10.1186/s12912-023-01472-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Isangula K, Pallangyo ES, Ndirangu-Mugo E. Nurses’ and clients’ perspectives after engagement in the co-designing of solutions to improve provider-client relationships in maternal and child healthcare: a human-centered design study in rural Tanzania. BMC Nurs. 2024;23:148. doi: 10.1186/s12912-024-01808-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kenyon SL, Johns N, Duggal S, et al. Improving the care pathway for women who request Caesarean section: an experience-based co-design study. BMC Pregnancy Childbirth. 2016;16:348. doi: 10.1186/s12884-016-1134-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Mamani-Mategula E, Von-Dinklage N, Sabanovic H, et al. Using an experience-based co-design approach to develop strategies for implementing an intravenous iron intervention to treat moderate and severe anemia in pregnancy in Malawi. Implement Sci Commun. 2024;5:129. doi: 10.1186/s43058-024-00661-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jith JR, Bedamatta R, Rajamohanan K, et al. The role of local governments in the implementation of evidence-based nutrition interventions in Kerala. public health action. 2023;13:26–31. doi: 10.5588/pha.22.0026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Chomat AM, Menchú AI, Andersson N, et al. Women’s circles as a culturally safe psychosocial intervention in Guatemalan indigenous communities: a community-led pilot randomised trial. BMC Womens Health. 2019;19:53. doi: 10.1186/s12905-019-0744-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Nagraj S, Kennedy S, Jha V, et al. A Mobile Clinical Decision Support System for High-Risk Pregnant Women in Rural India (SMARThealth Pregnancy): Pilot Cluster Randomized Controlled Trial. JMIR Form Res. 2023;7:e44362. doi: 10.2196/44362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Yang X, Sayer L, Bassett S, et al. Group‐based pelvic floor muscle training for pregnant women: A randomized controlled feasibility study. J Adv Nurs. 2025;81:2099–112. doi: 10.1111/jan.16365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Bogale B, Mørkrid K, O’Donnell B, et al. Development of a targeted client communication intervention to women using an electronic maternal and child health registry: a qualitative study. BMC Med Inform Decis Mak. 2020;20:1. doi: 10.1186/s12911-019-1002-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Whybrow R, Sandall J, Girling J, et al. Implementation of a novel shared decision-making intervention in women with chronic hypertension in pregnancy: multiple-site multiple-method investigation. Pregnancy Hypertens. 2022;30:137–44. doi: 10.1016/j.preghy.2022.09.007. [DOI] [PubMed] [Google Scholar]
- 35.McKellar L, Steen M, Charlick S, et al. Yourtime: The development and pilot of a perinatal mental wellbeing digital tool using a co-design approach. Appl Nurs Res. 2023;73:151714. doi: 10.1016/j.apnr.2023.151714. [DOI] [PubMed] [Google Scholar]
- 36.Wright T, Young K, Darragh M, et al. Perinatal e-screening and clinical decision support: the Maternity Case-finding Help Assessment Tool (MatCHAT) J Prim Health Care. 2020;12:265–71. doi: 10.1071/HC20029. [DOI] [PubMed] [Google Scholar]
- 37.Fair F, Marvin-Dowle K, Arden M, et al. Healthy weight services in England before, during and after pregnancy: a mixed methods approach. BMC Health Serv Res. 2020;20:572. doi: 10.1186/s12913-020-05440-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Ellis A, Roberts S, Gillespie K, et al. Development and evaluation of an online education module to improve clinician knowledge and management of eating disorders in the peripartum: a pre-post survey study. J Eat Disord. 2024;12:154. doi: 10.1186/s40337-024-01105-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Carlin E, Ferrari K, Spry EP, et al. Implementation of the “Kimberley Mum’s Mood Scale” across primary health care services in the Kimberley region of Western Australia: A mixed methods assessment. PLoS ONE. 2022;17:e0273689. doi: 10.1371/journal.pone.0273689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Osaki H, Skovdal M, Sørensen JB, et al. The Dilemmas and Opportunities of Co-Creating Health Interventions to Fit Local Contexts: An Ethnographic Study on the Adaptation of Clinical Guidelines in Tanzania. Health Expect. 2024;27:e70073. doi: 10.1111/hex.70073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Stewart L, McConnell BB, Darboe B, et al. Social singing, culture and health: interdisciplinary insights from the CHIME project for perinatal mental health in The Gambia. Health Promot Int. 2022;37:i18–25. doi: 10.1093/heapro/daab210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.AlJaberi H. Social Interaction Needs and Entertainment Approaches to Pregnancy Well-Being in mHealth Technology Design for Low-Income Transmigrant Women: Qualitative Codesign Study. JMIR Mhealth Uhealth. 2018;6:e61. doi: 10.2196/mhealth.7708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Ba A, Fox MJ, Keita AM, et al. Qualitative evaluation of a package of implementation strategies codesigned to support the introduction of multiple micronutrient supplementation (MMS) for pregnant women in Bamako, Mali. Maternal & Child Nutrition . 2025;21:e13712. doi: 10.1111/mcn.13712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Feroz AS, De Vera K, D Bragagnolo N, et al. Understanding the Needs of a Mobile Phone-Based Telemonitoring Program for Pregnant Women at High Risk for Pre-Eclampsia: Interpretive Qualitative Description Study. JMIR Form Res. 2022;6:e32428. doi: 10.2196/32428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Jenkinson B, Gray L, Sketcher-Baker K, et al. Partnering with the woman who declines recommended maternity care: Development of a statewide guideline in Queensland, Australia. Aust N Z J Obstet Gynaecol. 2025;65:243–7. doi: 10.1111/ajo.13889. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Molina RL, Bellegarde K, Long M, et al. Leveraging human centered design to enhance clinician communication during pregnancy care: Overcoming language barriers with Spanish-speaking patients. PEC Innov. 2025;6:100366. doi: 10.1016/j.pecinn.2024.100366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Sharma E, Puthussery S, Tseng P-C, et al. Development, acceptability and feasibility of a community-based intervention to increase timely initiation of antenatal care in an area of high ethnic diversity and low socio-economic status in the UK. Midwifery. 2023;126 doi: 10.1016/j.midw.2023.103812. [DOI] [PubMed] [Google Scholar]
- 48.Hall K, Evans J, Roberts R, et al. Co-designing a nature-based intervention to promote postnatal mental health for mothers and their infants: a complex intervention development study in England. BMJ Open. 2023;13:e075366. doi: 10.1136/bmjopen-2023-075366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Mancinelli E, Gabrielli S, Salcuni S. A Digital Behavioral Activation Intervention (JuNEX) for Pregnant Women With Subclinical Depression Symptoms: Explorative Co-Design Study. JMIR Hum Factors. 2024;11:e50098. doi: 10.2196/50098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Venkateswaran M, Danso E, Camara D, et al. eRegMat: a digital registry to improve quality of antenatal care in The Gambia—development and early implementation experience. BMC Digital Health. 2024;2:59. doi: 10.1186/s44247-023-00059-4. [DOI] [Google Scholar]
- 51.Auxier J, Savolainen KT, Bender M, et al. Exploring Access as a Process of Adaptation in a Self-Monitoring Perinatal eHealth System: Mixed Methods Study From a Sociomaterial Perspective. JMIR Form Res. 2023;7:e44385. doi: 10.2196/44385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Sequeira D’mello B, Housseine N, Kidanto HL, et al. I am happy to be listened to’: co-creation of a simple tool to measure women’s experiences of respectful maternity care in urban Tanzania. Glob Health Action. 2024;17:2403972. doi: 10.1080/16549716.2024.2403972. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Murugesu L, Fransen MP, Timmermans DRM, et al. Co-creation of a health literate-sensitive training and conversation aid to support shared decision-making in maternity care. PEC Innov . 2024;4:100278. doi: 10.1016/j.pecinn.2024.100278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Blomgren J, Wells MB, Erlandsson K, et al. Putting co-creation into practice: lessons learned from developing a midwife-led quality improvement intervention. Glob Health Action. 2023;16:2275866. doi: 10.1080/16549716.2023.2275866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Metta E, Unkels R, Mselle LT, et al. Exploring women’s experiences of care during hospital childbirth in rural Tanzania: a qualitative study. BMC Pregnancy Childbirth. 2024;24:290. doi: 10.1186/s12884-024-06396-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kildea S, Gao Y, Hickey S, et al. Effect of a Birthing on Country service redesign on maternal and neonatal health outcomes for First Nations Australians: a prospective, non-randomised, interventional trial. Lancet Glob Health. 2021;9:e651–9. doi: 10.1016/S2214-109X(21)00061-9. [DOI] [PubMed] [Google Scholar]
- 57.Silver H, Corman-François M, Kapellas S, et al. Co-designing Culturally Safe Indigenous Birth in High-Risk Obstetrics: Implementing Joyce’s Principle with Inuit and Cree Families and Their Medical Providers. J Transcult Nurs. 2025;36:224–31. doi: 10.1177/10436596241292042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Fietta V, Rizzi S, De Luca C, et al. A Chatbot-Based Version of the World Health Organization-Validated Self-Help Plus Intervention for Stress Management: Co-Design and Usability Testing. JMIR Hum Factors. 2024;11:e64614. doi: 10.2196/64614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Meloncelli N, O’Connor H, de Jersey S, et al. Designing a behaviour change intervention using COM-B and the Behaviour Change Wheel: Co-designing the Healthy Gut Diet for preventing gestational diabetes. J Hum Nutr Diet. 2024;37:1391–406. doi: 10.1111/jhn.13355. [DOI] [PubMed] [Google Scholar]
- 60.Mndala L, Kondoni C, Gadama L, et al. Developing comprehensive woman hand-held case notes to improve quality of antenatal care in low-income settings: participatory approach with maternal health stakeholders in Malawi. BMC Health Serv Res. 2024;24:628. doi: 10.1186/s12913-024-10922-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Hunter B, Thomas G, Wilhelmová R, et al. Strengthening global midwifery education to improve quality maternity care: Co-designing the World Health Organization Midwifery Assessment Tool for Education (MATE) Nurse Educ Pract. 2022;63:103376. doi: 10.1016/j.nepr.2022.103376. [DOI] [PubMed] [Google Scholar]
- 62.Harris JM, Watts K, Page L, et al. Reflections on an educational intervention to encourage midwives to work in a continuity of care model - exploration and potential solutions. Midwifery. 2020;88 doi: 10.1016/j.midw.2020.102733. [DOI] [PubMed] [Google Scholar]
- 63.Mancinelli E, Magnolini S, Gabrielli S, et al. A Chatbot (Juno) Prototype to Deploy a Behavioral Activation Intervention to Pregnant Women: Qualitative Evaluation Using a Multiple Case Study. JMIR Form Res. 2024;8:e58653. doi: 10.2196/58653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Musie MR, Mulaudzi FM, Anokwuru R, et al. An Inclusive Framework for Collaboration between Midwives and Traditional Birth Attendants and Optimising Maternal and Child Healthcare in Restricted Rural Communities in South Africa: Policy Considerations. Healthcare (Basel) 2024;12:363. doi: 10.3390/healthcare12030363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Bitar D, Oscarsson M, Stevenson-Ågren J. Application to promote communication between midwives and Arabic-speaking women at antenatal care: Challenges met by researchers when developing content. Eur J Midwifery . 2022;6:68. doi: 10.18332/ejm/156451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Amoakoh HB, De Kok BC, Yevoo LL, et al. Co-creation of a toolkit to assist risk communication and clinical decision-making in severe preeclampsia: SPOT-Impact study design. Glob Health Action. 2024;17:2336314. doi: 10.1080/16549716.2024.2336314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Álvarez-Pérez Y, Perestelo-Pérez L, Rivero-Santanta A, et al. Co-Creation of Massive Open Online Courses to Improve Digital Health Literacy in Pregnant and Lactating Women. IJERPH. 2022;19:913. doi: 10.3390/ijerph19020913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Merriel A, Toolan M, Lynch M, et al. Codesign and refinement of an optimised antenatal education session to better inform women and prepare them for labour and birth. BMJ Open Qual. 2024;13:e002731. doi: 10.1136/bmjoq-2023-002731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Waddell A, Spassova G, Sampson L, et al. Co-designing a theory-informed intervention to increase shared decision-making in maternity care. Health Res Policy Sys. 2023;21:15. doi: 10.1186/s12961-023-00959-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Hanrahan V, Lawrie L, Duncan E, et al. Development of a co-designed behaviour change intervention aimed at healthcare professionals recruiting to clinical trials in maternity care. Trials. 2022;23:870. doi: 10.1186/s13063-022-06816-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Melwani S, Cleland V, Patterson K, et al. Identifying health literacy solutions for pregnant women and mothers in Tasmania: a codesign study. Health Literacy and Communication Open. 2023;1:2255027. doi: 10.1080/28355245.2023.2255027. [DOI] [Google Scholar]
- 72.Keedle H, Dahlen HG. Incorporating co-design principles and social media strategies to enhance cross-sectional online survey participation: The Birth Experience Study. J Nurs Scholarsh. 2024;56:341–50. doi: 10.1111/jnu.12945. [DOI] [PubMed] [Google Scholar]
- 73.Salmon VE, Rodgers LR, Rouse P, et al. Moving through Motherhood: Involving the Public in Research to Inform Physical Activity Promotion throughout Pregnancy and Beyond. IJERPH. 2021;18:4482. doi: 10.3390/ijerph18094482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Borbolla Foster A, Haxton J, Bennett N, et al. Redesigning antenatal care: Prospective use of an implementation framework to establish a population‐based multidisciplinary first‐trimester screening, assessment and prevention service. Aust NZ J Obst Gynaeco . 2024;64:588–95. doi: 10.1111/ajo.13837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Wiseman O, Emmett L, Hickford G, et al. The challenges and opportunities for implementing group antenatal care (‘Pregnancy Circles’) as part of standard NHS maternity care: A co-designed qualitative study. Midwifery. 2022;109:103333. doi: 10.1016/j.midw.2022.103333. [DOI] [PubMed] [Google Scholar]
- 76.Haith-Cooper M, Stacey T, Bailey F, et al. The Co-development and Feasibility-Testing of an Innovative Digital Animation Intervention (DAISI) to Reduce the Risk of Maternal Sepsis in the Postnatal Period. Matern Child Health J. 2020;24:837–44. doi: 10.1007/s10995-020-02932-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Parsons JE, Newby KV, French DP, et al. The development of a digital intervention to increase influenza vaccination amongst pregnant women. Digit Health. 2021;7:20552076211012128. doi: 10.1177/20552076211012128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Christiansen PK, Rothmann MJ, Skjøth MM, et al. The development of an IT-based intervention to support a healthy postpartum lifestyle through behavioral change. Health Informatics J. 2023;29 doi: 10.1177/14604582231153523. [DOI] [PubMed] [Google Scholar]
- 79.Blewitt C, Savaglio M, Madden SK, et al. Using Intervention Mapping to Develop a Workplace Digital Health Intervention for Preconception, Pregnant, and Postpartum Women: The Health in Planning, Pregnancy and Postpartum (HiPPP) Portal. Int J Environ Res Public Health. 2022;19:15078. doi: 10.3390/ijerph192215078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Guyatt S, Ferguson M, Beckmann M, et al. Using the Consolidated Framework for Implementation Research to design and implement a perinatal education program in a large maternity hospital. BMC Health Serv Res. 2021;21:1077. doi: 10.1186/s12913-021-07024-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Klingberg-Allvin M, Atuhairwe S, Cleeve A, et al. Co-creation to scale up provision of simplified high-quality comprehensive abortion care in East Central and Southern Africa. Glob Health Action . 2018;11:1490106. doi: 10.1080/16549716.2018.1490106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Bosak J, Messersmith L, Bryer C, et al. “They just looked at me like I was human”: The experiences of parenting women and providers with substance use disorder treatment. J Subst Use Addict Treat. 2024;157:209240. doi: 10.1016/j.josat.2023.209240. [DOI] [PubMed] [Google Scholar]
- 83.Harrison AL, Taylor NF, Frawley HC, et al. A consumer co-created infographic improves short-term knowledge about physical activity and self-efficacy to exercise in women with gestational diabetes mellitus: a randomised trial. J Physiother. 2020;66:243–8. doi: 10.1016/j.jphys.2020.09.010. [DOI] [PubMed] [Google Scholar]
- 84.Meloncelli N, Wilkinson SA, Rushton A, et al. Co‐designing The Healthy Gut Diet for Preventing Gestational Diabetes: Co‐design methods and process outcomes. J Human Nutrition Diet. 2024;37:1231–44. doi: 10.1111/jhn.13341. [DOI] [PubMed] [Google Scholar]
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Supplementary Materials
Data Availability Statement
All data relevant to the study are included in the article or uploaded as supplementary information.
