Abstract
Aims
The implementation of type 2 diabetes prevention after gestational diabetes (GDM) is poor despite research evidence on efficacy. This is limited by the lack of knowledge of the priorities in real‐world settings from the perspectives of local clinicians and women with lived experiences, particularly those from underserved populations. We report here a global consensus on the values, principles, and research priorities for the implementation of type 2 diabetes prevention in individuals after gestational diabetes (GDM), from the perspectives of clinicians and women from Asia, Africa, Oceania, the Americas, and Europe.
Methods
A team of health professionals and researchers from five continents formed the Cardiometabolic Health Implementation Research in Postpartum individuals (CHIRP) team. The CHIRP team undertook a priority setting process using the Modified Delphi and Nominal Group Technique. Health professionals and women with a lived experience of GDM from five continents were invited to participate. Values, principles, and research priorities were voted on by all participants.
Results
A total of 100 consumers and health professionals from 11 countries across the five continents participated in the consensus process. The top‐ranked values and principles were ‘universal access’, ‘evidence‐based’, and ‘equity‐driven’. The top‐ranked research priorities were ‘stress and mental well‐being’, ‘information on exercise and diet’, ‘lactation and breastfeeding’, ‘exercise after childbirth’, and ‘physical environment for healthy eating’.
Conclusions
Addressing mental wellbeing through strategies that are universally accessible, evidence‐based, and equity‐driven will increase the success of the real‐world implementation and knowledge translation of type 2 diabetes prevention in women with a history of GDM in global settings.
Keywords: gestational diabetes, global consensus, priority setting, type 2 diabetes
What's new.
Research evidence has demonstrated efficacious prevention of type 2 diabetes in women with a history of gestational diabetes, but implementation is poor, particularly in low‐ and middle‐income countries. Progress is hindered by a lack of knowledge on the implementation priorities as experienced by clinicians and women who have had GDM in the real‐world setting, particularly those from these regions.
The clinicians and women with lived experiences of GDM have voted the top implementation research priority as addressing the stress and mental well‐being of women who have had GDM.
These priorities should be supported by principles and values of universal access, context‐specific evidence‐based practices, and equity.
Addressing the identified priorities, taking into consideration the principles and values, will improve the implementation success of diabetes prevention among individuals with a history of gestational diabetes, including in the regions at greatest need.
1. INTRODUCTION
Diabetes is a significant disease that is projected to affect over 1.31 billion people globally by 2050, an increase of 781 million from 2021. 1 It not only interacts with and worsens other cardiometabolic and renal diseases, but also leads to significant morbidity and mortality. 1 Type 2 diabetes accounts for more than 90% of the global diabetes prevalence. It is attributed to socio‐behavioural risk factors such as poor diet, high BMI, low physical activity, environmental factors, alcohol, tobacco use, and living environments such as food availability and food insecurity. 1 The greatest burden of diabetes is borne by low‐ and middle‐income countries, as well as marginalised populations in high‐income countries. 2 Geographic location and social status are significant predictors of diabetes prevalence, morbidity, and mortality. According to the Global Burden of Disease Study 2021, the highest age‐standardised type 2 diabetes rates at the super‐region level were observed in North Africa and the Middle East (9.3%; 95% UI 8.7–9.9), and at the regional level, in Oceania (12.3%; 95% UI 11.5–13.0). 1 By 2045, three out of four adults with type 2 diabetes will reside in low‐ and middle‐income countries. 3
Gestational diabetes mellitus (GDM) is dysglycemia first detected during pregnancy. The global prevalence of GDM is 14%, varying across regions from 7% in North America and the Caribbean to 20.8% in Southeast Asia and 27.6% in the Middle East and North Africa. 4 Women with a history of GDM have a tenfold increased risk of developing type 2 diabetes, 5 but these risks are unevenly distributed across population groups. In Australia, women of Asian background with previous GDM are approximately twice as likely to develop type 2 diabetes as women of Anglo‐Celtic origin. 6 Similarly, in the US, Black and Hispanic women also have higher risks of developing type 2 diabetes after GDM than non‐Hispanic White women. 7
Studies have shown that up to 58% of type 2 diabetes cases were preventable with diet and exercise health behaviour change interventions. 8 A modest but significant benefit in the prevention of type 2 diabetes has also been demonstrated in women with a history of GDM, with a 26% reduction in T2DM and no significant differences between high‐income and middle‐income countries. 9 , 10 , 11 Despite the solid evidence on prevention in certain countries, the reach of these prevention programs is dismal in real‐world settings. In the US, only 0.4% of those at high risk for diabetes and 4.9% of those with diagnosed prediabetes were referred to a prevention program. 12 The reach of real‐world prevention programs is likely even more minute in low‐ and middle‐income countries, considering the scarcity of prevention studies in those settings. A recent systematic review of non‐pharmacological diabetes prevention programs in low‐ and middle‐income countries found only five studies, of which none was from low‐income countries. 13 A comprehensive map to guide implementation strategies that is relevant to population groups from a range of geographical regions is urgently needed, including those with the highest burden of disease. Inadequate knowledge at the empirical, applied, translational, and implementational levels for various population groups is a limiting factor in slowing the growing disparities of type 2 diabetes, particularly in women with a history of GDM. 14 , 15 The priorities for the implementation of diabetes prevention in women with a history of GDM in various regions, along with the values and principles that guide and constrain implementation, are not known.
Reducing diabetes disparities through effective implementation requires equitable partnerships that engage in community participatory research. 16 To address this gap, we present a consensus report on values, principles, and research priorities for diabetes prevention in women with a history of GDM by clinicians and women with GDM experiences from diverse backgrounds. The purpose of this report is to guide the development of implementation and research strategies on type 2 diabetes prevention after GDM that are applicable to a range of geographical regions, including areas with the greatest need for these initiatives.
2. METHODS
2.1. Study participants
Individuals from all five main continents (Asia, Africa, Oceania, Americas and Europe) were invited to participate to ensure the voices of traditionally under‐represented geographical regions in diabetes research, such as Africa and Asia, were present. 13 A regional leader was recruited for each geographic region based on research and/or clinical experience in diabetes research and management. A team of health professionals and researchers (1 psychologist, 2 dietitians, 1 endocrinologist, 1 obstetrician and 1 gynaecologist) formed the Cardiometabolic Health Implementation Research in Postpartum individuals (CHIRP) research team, which served as the activity steering committee.
Participants were recruited by regional leaders through public advertisement, snowball recruitment, and personal and professional networks. Participants included individuals with prior GDM (consumers) and health professionals providing care to such patients (allied or community health, medical, general practitioner/family physician, primary care, policy, and public health). The eligibility criteria were: health professionals needed to be involved in the provision of healthcare to postpartum individuals; consumers needed to have given birth within the last five years and have a history of GDM without current diabetes (corresponds to the period of greatest risk of developing type 2 diabetes following index GDM pregnancy). 5 Regional leaders were instructed to recruit a cohort who are diverse in terms of the PROGRESS characteristics for equity (place of residence, race/ethnicity/culture/language, occupation, gender/sex, religion, education, socioeconomic status, and social capital), 17 so that individuals with a higher risk of type 2 diabetes, lower engagement with healthcare services, or lower health literacy would have priority. Each region aimed to recruit a total of 20 participants with equal representation of consumers and health professionals to allow for meaningful consensus to be reached. 18 , 19
Interpreters (Malayalam in India and Amharic in Africa) were provided for individuals who could not communicate in English. Translation needs were determined by the regional leaders who recruited the participants. The pre‐ and post‐workshop surveys and workshop slides were translated into languages by native speakers. Interpreters also provided real‐time translation during the workshop to facilitate in‐language discussions.
2.2. The priority‐setting framework
A modified Delphi process and Nominal Group Technique were used to determine the values, principles, and priorities for the implementation of type 2 diabetes prevention in women with a history of GDM. 20 , 21 This approach allowed for quantitative ranking of the priorities by individuals, ensuring the voice of each participant was captured while facilitating dynamic conversations among and between consumers and health professionals in building consensus. The multi‐step process is outlined in Figure 1. Priority assessment criteria were taken from the Child Health and Nutrition Research Initiative (CHNRI) which include answerability, effectiveness, deliverability, the maximum potential for improvement of health and well‐being of postpartum mothers, and the effect on equity. 22
FIGURE 1.

The consensus development process for CHIRP (Cardiometabolic Health Implementation Research in Postpartum individuals) values, principles, and implementation research priorities.
2.3. Priority‐setting items
The list of the 12 values and principles and 28 research priorities is shown in Supplementary File 1. Principles and values were defined as the most important overarching themes that underpin all diabetes prevention efforts for individuals with prior GDM. Research priorities were defined as the most pertinent issues affecting the participants in the context of diabetes prevention following a GDM pregnancy. These were collated from inputs including Australia's National Women's Health Strategy 2020–2030, the Global Strategy for Women's, Children's and Adolescents' Health 2016–2030, NCD Alliance's A Call to Action: Women and Non‐Communicable Diseases, systematic reviews on lifestyle management in postpartum individuals, past interviews of postpartum individuals, and expert input from the CHIRP research team including regional leaders.
2.4. Priority‐setting process
2.4.1. Round 1: Pre‐workshop ranking
Participants were emailed an online pre‐workshop survey to collect basic demographic information (health professionals: gender, occupation, years of working experience, type of healthcare setting involvement in GDM; consumers: age, postpartum age, country of residence, race, ethnicity, education, occupation, private health insurance, history of GDM); followed by the modified Delphi item ranking exercise. Participants were asked to rank the priority‐setting items taking the CHNRI criteria into consideration (where one was the highest‐ranked priority and the remaining items were placed in descending order). Participants could also suggest additional priorities that were not listed.
2.4.2. Round 2: Workshop group discussion
Separate workshops for each continent were conducted virtually via Zoom (Version 5.11.3, Zoom Video Communications, San Jose, CA, USA, 2022) and the Nominal Group Technique was employed for consensus development. Participants were split into small groups of 3–5 to discuss the pre‐workshop rankings. Immediately following this discussion, participants came together to re‐rank the priorities based on the issues discussed. Discussions were video recorded on Zoom. Recordings were professionally transcribed by GoTranscript (https://gotranscript.com/). Transcripts were open‐coded and analysed for themes using reflexive thematic analysis. 23 Analyses were conducted on NVivo 12 (Lumivero, Denver, USA). A ‘6‐stage’ approach was followed to inductively generate themes. The open coding was performed by one team member (EI) with consultation from MM and SL. The team reviewed and developed codes and themes iteratively. This process supported researcher reflexivity during theme refinement to help minimise biases and improve the trustworthiness of the results.
2.4.3. Round 3: Final ranking and consensus
The workshop priority‐setting rankings output from each region were sent to participants via an online survey. Participants were asked to independently re‐rank the priorities with reference to the CHNRI criteria and reflecting on the workshop discussions. Mean ranking scores were computed for each priority, where lower scores represented higher priority.
Demographic characteristics of the participants were presented in frequencies and proportions. Rankings were determined as the average of scores (mean) provided by the participants. Quantitative analyses were conducted in Microsoft Excel 2019.
3. RESULTS
3.1. Participants
Participants came from eleven countries: Nigeria, Ethiopia, Rwanda (Africa); USA, Canada (Americas); India, United Arab Emirates (Asia); UK, Ireland, Denmark (Europe); and Australia (Oceania). Fifty consumers and 50 health professionals across the five geographical regions participated (Tables 1 and 2). The mean age of consumer participants was 33.6 ± 3.3 years. The majority of consumer participants had children 1 year old or less (56%), a graduate or postgraduate degree (82%), professional jobs (68%), and lacked private health insurance (52%) (Table 1). Most health professional participants were female (64%), clinicians (44%), residing in metropolitan or urban areas (82%), with more than 10 years of working experience (68%), and worked with culturally and linguistically diverse populations (58%) (Table 2).
TABLE 1.
Demographic characteristics of consumers.
| Number (%) n = 50 | |
|---|---|
| Region | |
| Africa | 8 (16.0) |
| Americas | 2 (4.0) |
| Asia | 14 (28.0) |
| Europe | 10 (20.0) |
| Oceania | 16 (32.0) |
| Mean age (years) | 33.6 ± 3.3 |
| Age of youngest child | |
| 1 year or less | 28 (56.0) |
| 2 years | 6 (12.0) |
| 3 years | 6 (12.0) |
| 4 years | 7 (14.0) |
| 5 years | 2 (4.0) |
| Education level | |
| Secondary/high school | 5 (10.0) |
| Diploma/Advanced diploma | 3 (6.0) |
| Graduate/postgraduate degree | 41 (82.0) |
| Not stated | 1 (2.0) |
| Occupation | |
| No paid job/homemaker | 8 (16.0) |
| Clerical or trade job | 2 (4.0) |
| Associate professional job | 5 (10.0) |
| Professional job | 34 (68.0) |
| Not stated | 1 (2.0) |
| Private health insurance | |
| Yes | 24 (48.0) |
| No | 26 (52.0) |
TABLE 2.
Demographic characteristics of health professionals.
| Characteristics | Number (%) n = 50 |
|---|---|
| Region | |
| Africa | 10 (20.0) |
| Americas | 7 (14.0) |
| Asia | 16 (32.0) |
| Europe | 8 (16.0) |
| Oceania | 9 (18.0) |
| Number of years since qualification | |
| 5 years or less | 3 (6.0) |
| 6–10 years | 12 (24.0) |
| More than 10 years | 34 (68.0) |
| Gender | |
| Male | 18 (36.0) |
| Female | 32 (64.0) |
| Area of practice | |
| Primary care | 2 (4.0) |
| General practice | 10 (20.0) |
| Allied health | 2 (4.0) |
| Community health | 2 (4.0) |
| Public health | 7 (14.0) |
| Clinician | 22 (44.0) |
| Other | 4 (8.0) |
| Area of residence | |
| Metropolitan/Urban | 41 (82.0) |
| Rural | 8 (16.0) |
| Remote | 1 (2.0) |
| Working with this population a | |
| Culturally and linguistically diverse population | 29 (58.0) |
| Indigenous populations | 14 (28.0) |
| Rural population | 22 (44.0) |
Multiple responses.
3.2. Round 1: Pre‐workshop ranking
The top‐ranked items from Rounds 1, 2, and 3 are presented in Tables 3 and 4, respectively. In Round 1, Universal Access ranked highest for principles and values, while Stress and Mental Well‐being ranked highest for research priorities. Additional research priorities included: family‐based approach; consumer‐driven priorities and solutions; value for money; healthy meal preparation based on locally available food; creating awareness in the community; educating women and their families on the possibility of preventing type 2 diabetes through lifestyle measures; point‐of‐care testing to facilitate opportunistic screening in the community and at the general practitioner; and promotion of interdisciplinary health professional education.
TABLE 3.
Top rankings of principles and values underlying research for diabetes prevention after gestational diabetes by all participants across geographical regions.
| Principles and values | Round 1 rank | Round 2 rank | Round 3 mean (SD) | Round 3 rank |
|---|---|---|---|---|
| Universal access | 1 | 1 | 1.6 (0.5) | 1 |
| Evidence‐based | 2 | 3 | 2.0 (1.4) | 2 |
| Equity‐driven | 5 | 2 | 3.5 (1.7) | 3 |
| Country‐led solutions | 3 | 4 | 3.8 (1.0) | 4 |
| Sustainability | 4 | 5 | 4.8 (2.4) | 5 |
TABLE 4.
Top rankings for research priorities for diabetes prevention after gestational diabetes by all participants across geographical regions.
| Research priorities | Round 1 rank | Round 2 rank | Round 3 mean (SD) | Round 3 rank |
|---|---|---|---|---|
| Stress and mental well‐being | 1 | 1 | 1.2 (0.4) | 1 |
| Information on exercise and diet for postpartum individuals to prevent cardiometabolic diseases | 5 | 2 | 2.4 (0.9) | 2 |
| Lactation and breastfeeding | 4 | 5 | 5 (1.4) | 3 |
| Exercise after childbirth | 2 | 6 | 5.3 (3.3) | 4 |
| The physical environment for healthy eating for example, food policy, food labelling law | 9 | 7 | 5.5 (3.7) | 5 |
| Mother's sleep | 3 | 3 | 7.0 (3.2) | 6 |
| Sedentary behaviour after childbirth | 7 | 9 | 7.2 (3.6) | 7 |
| Infant's sleep | 6 | 3 | 7.6 (3.0) | 8 |
| Planning and organisational skills | 8 | 8 | 8.8 (5.0) | 9 |
3.3. Round 2: Workshop group discussion
Universal Access was ranked first in the workshops (Table 3). Universal Access was understood by the participants as equitable access to care and resources across all population groups within each respective region. Disparities in diabetes prevention after GDM were identified relating to geographic location, such as rural populations in Africa, and financial barriers such as the lack of free‐at‐point‐of‐access in the Americas. Equity‐driven approaches overtook Evidence‐based approaches following workshop discussions. Equity in diabetes prevention for women was considered a human rights issue. Specifically, equity‐driven approaches ensure that every person who requires services can access those services regardless of their background, socio‐economic status, or any other discriminatory factor. The importance of Evidence‐based approaches was described as the need for context‐specific evidence from similar settings instead of translating evidence generated from high‐income countries to low‐ and middle‐income countries. Country‐led Solutions were interpreted as country‐specific solutions as well as country‐wide solutions. Country‐specific solutions allow for specific solutions that consider the contexts and norms within specific countries. Country‐wide solutions were thought to improve access by distributing resources equitably. However, most acknowledged that the diversity within a country (e.g., India) may limit the effectiveness of a top‐down, country‐led approach. To address this, a region‐led approach within countries was suggested instead. Sustainability was deemed important due to the issues relating to short‐lived, discontinued public health initiatives.
In terms of research priorities, Stress and Mental Well‐being was ranked first in the workshops (Table 4). Poor mental health among mothers was highlighted as a prevalent issue with an impact on an individual's capacity to enact healthful behaviours. Information on Exercise and Diet was ranked second because participants recognised that health behaviour change was one of the most important components in preventing type 2 diabetes. There was consensus that the provision of this information was lacking in healthcare settings. While Mother's Sleep and Infant Sleep were ranked separately, they were discussed in tandem as mother's sleep was often contingent on their infant's sleep. Mother's sleep was discussed as necessary for physical and mental health, including the ability to manage stress, maintain overall wellbeing, and undertake healthful behaviours. The role of Lactation and Breastfeeding in the prevention of type 2 diabetes was also acknowledged. However, there was some misinformation about breastfeeding (e.g., eating and drinking a lot to increase milk flow) by individuals with GDM, and issues around the lack of breastfeeding support were raised.
Additional workshop‐generated research priorities were: continuity of care (preconception period through to pregnancy and postpartum); interventions that work in light of social determinants of health (i.e., food security, built environment); pharmacotherapy; novel biomarkers; digital and technical solutions/innovation; studying system‐level designs to combat inequity; implementation research addressing effectiveness, reach, engagement, scalability, and sustainability; prevention research including health behaviour change or pharmacotherapy. Thematic analysis of participants' discussion on each of the ranked items is shown in Table S1.
3.4. Round 3: Final ranking and consensus
The final independent ranking generated the top five values and principles and top ten priorities list. The top‐ranked values and principles were Universal Access; Evidence‐based; Equity‐driven; Country‐led Solutions; and Sustainability. While Stress and Mental Well‐being and Information on Exercise and Diet remained the top two priorities, Lactation and Breastfeeding emerged as the third priority in the final ranking. Exercise after Childbirth and Physical Environment for Healthy Eating also entered the top five priorities. These ranking changes may reflect the workshop discussions that occurred.
4. DISCUSSION
This global priority‐setting exercise for the prevention of type 2 diabetes in individuals with previous GDM identified the key values, principles, and research priorities through the engagement of health professionals and consumers across five continents. Five principles and values and ten priorities were identified. The highest ranked value and principle for type 2 diabetes prevention after GDM was ‘Universal Access’. This was consistently ranked as the most important value and principle in each round of the consensus activity. ‘Universal Access’ was closely linked to equitable access to care and resources in the discussions. This may explain ‘Equity‐driven’ being ranked the next most important principle and value. Limited access to diabetes prevention services is a known issue for developed countries (<5% population reached) and the reach is unknown for developing ones. 12 Individual and systems barriers include a lack of awareness of prevention programs, a lack of medical consultation time preventing discussions on prevention, a lack of medical reimbursement schemes for preventive services, and the perceived role of practice by health professionals, among others. 24 The small proportion of the population that engages with these services is likely to be those with social advantage. Social disadvantages such as lower education, Indigenous populations, Black or Hispanic ethnicity, having a high BMI or a mental health disorder are all associated with lower engagement with postpartum follow‐up after GDM. 25 , 26 The lower engagement with preventive and health behaviours along the socioeconomic gradient contributes to disparities in diabetes. 27 According to Hart's inverse care law, access to good quality healthcare is inversely proportional to the needs of the population served. 28 Health professionals and consumers from all regions worldwide highlighted the criticality of placing universal access as the most important cross‐cutting theme in diabetes prevention to prevent growing health disparities in diabetes between social and power strata. Health programs and policies need to remove barriers to service access for all to ensure universal access and equity of care.
Although ‘Evidence‐based’ is conventionally regarded as the cornerstone of all interventions by the scientific community, it was ranked after ‘Universal Access’ and ‘Equity‐Driven’ as a guiding principle and value for diabetes prevention. Some participants felt that there was already a sufficient evidence base for diabetes prevention from previous trials, 8 , 29 , 30 , 31 and noted that the gaps in evidence were around effective implementation. However, there is an absence of diabetes prevention studies in low‐income countries and limited studies in middle‐income countries. 13 This was highlighted by participants from Africa who pointed out that interventions targeting a specific population should derive their evidence base from a comparable population and setting. Future research could consider type II effectiveness‐implementation trials in low‐ and middle‐income countries, which would simultaneously test the tailored intervention's effectiveness and the implementation strategy's impact. 32
‘Stress and Mental Well‐being’ was consistently ranked across the rounds as the most important research priority for diabetes prevention following GDM. Mental health was emphatically and consistently reported by consumers as the enabler of all other health behaviours. GDM is associated with an increased risk of poor mental health. 33 Poor mental health is a predictor of low engagement in postpartum follow‐up care after GDM or hypertensive disorder pregnancy. 26 Contributors to poor postpartum mental health in women with recent GDM may include the long‐lasting legacy of GDM stigma, and emotional and psychological stress experienced during a GDM‐affected pregnancy. 34 , 35 Challenges with balancing domestic responsibilities and self‐care were also cited as a source of mental distress particularly in non‐White women. 35 Further, women with ethnically diverse or low‐income backgrounds are at higher risk of postpartum depression following GDM. 36 While mental health outcomes are collected in selected trials in women after GDM, 37 no interventions to date targeting women with a history of GDM include mental health interventions. This represents an important knowledge gap that should be addressed in future trials. Considering the key role of mental health in diabetes prevention for individuals with recent GDM, it should be the primary focus in diabetes prevention programs for this population.
‘Information on Diet and Exercise for Postpartum Individuals to Prevent Cardiometabolic Diseases’ was the second most important priority identified. This is in line with the central role of diet and exercise in all diabetes prevention programs. Issues were raised regarding inadequate health behaviour change advice provided by healthcare providers to prevent type 2 diabetes following GDM pregnancies. The barriers to providing health behaviour change advice are well documented and include the health system fragmentation and funding model, the general practitioner's role and knowledge, and perceived patient attitudes towards health behaviour change. 38 Health system changes are needed to incentivise prevention and build health professional capacity to deliver preventive support. Addressing barriers and providing tailored solutions while delivering diet and exercise information was deemed important to empower individuals with prior GDM. This is particularly relevant given the many known barriers to health behaviour change during the postpartum period. Further research in person‐centred approaches underpinned by behavioural change skills is needed to enable diet and exercise behavioural changes to prevent diabetes in different populations.
‘Lactation and Breastfeeding’ was the third most important research priority identified. Meta‐analysis demonstrates a relative type 2 diabetes risk reduction of about 30% with breastfeeding. 39 Participants in our study reported that implementing this advice was challenging for certain population groups where cultural norms regard breastfeeding as harmful to the mother. Breastfeeding was also discussed as a potential postpartum stressor and as such can play an important role in mental health. Greater support is needed in individuals with prior GDM, who are less likely to initiate breastfeeding, more likely to introduce formula and have shorter breastfeeding duration. 40
4.1. Future directions
The workshops displayed a sense that sufficient evidence exists for the aforementioned diabetes prevention priorities to be ranked as important, but the challenge is in the implementation. Greater research focus on the implementation and translation of postpartum diabetes prevention evidence into practice is needed. Addressing inequities in type 2 diabetes in women requires intervention targeting each life stage, including prevention of GDM preconception, screening for GDM in pregnancy, follow‐up, and prevention of type 2 diabetes and recurrent GDM in the postpartum period. Efforts in each stage will contribute towards addressing inequity. As such, in countries where access to GDM screening is not universal (Table S2), efforts are needed to increase access to GDM screening while strengthening type 2 diabetes prevention after GDM.
4.2. Strengths and limitations
There are several strengths to this study. First, consumers and health professionals were both included in the priority‐setting exercise. Consumers had an equal voice to health professionals by being placed initially in different discussion groups to avoid any power dynamic influences, and the subsequently combined group allowed for dialogue between the groups from their identified positions. Second, participants represented all five continents in this global consensus. Surveys were provided in local languages, and local research assistants were engaged as translators to address language barriers, allowing participation by individuals who would otherwise have missed out. Third, established methodologies of Delphi and Nominal Group Techniques were used to achieve consensus while ensuring the voice of each participant was captured. These steps provided a voice to populations that have previously not had the opportunity to shape diabetes research.
This study has some limitations. First, although full representation was sought from each continent, only one to three countries per continent were engaged, and not all priority populations within each country were represented. In each country, there is a unique list of population groups experiencing social disadvantages and intersectionality in various dimensions, including race/ethnicity/culture/language, place of residence, occupation, religion, education, socioeconomic status, migration status, social capital, and many others. 17 The current study advanced diversity, equity, and inclusivity in type 2 diabetes prevention research in the geographical dimension. This represents a step forward in addressing the gap of a complete absence of type 2 diabetes prevention research in women after GDM in low‐income countries, a small number of studies in middle‐income countries, and an overrepresentation of studies in high‐income countries to date. 10 Implementation strategies to address inequity will require local effort to address the unmet needs of one priority population at a time.
Second, since our recruitment was through professional networks and snowballing, the participants were likely to be those more motivated to see changes. Third, the democratic concept of speaking up to authority (researchers and clinicians), voting according to individual preference, and ranking research priorities requires high levels of literacy and self‐efficacy. This may explain a bias towards attracting participants with high levels of education in this study. This might have skewed priorities toward literacy‐dependent interventions. Future studies should explore the perspectives of those from diverse educational backgrounds to ensure more inclusive solutions. Fourth, we dropped fraudulent participants identified during Round 2, which reduced the sample size of consumers in the Americas. Although this reduced our sample size, it is unlikely to have affected the quality of the data because they were identified and dropped. It is not uncommon for research participants to misrepresent themselves for financial incentives. Further research evaluating the experiences of the study participants across different cultural contexts is currently underway. There is a need to develop consensus‐building methods that are rigorous and yet appropriate for populations with variable literacy levels as well as purposive sampling approaches that will ensure the representation of those with lower levels of literacy. There is a need for continued commitment by funders, researchers, and the medical community to seek out the voices of individuals from every population group.
5. CONCLUSION
Health professionals and consumers from across five continents have identified the key priorities for diabetes prevention programs targeting women with a history of gestational diabetes mellitus. These priorities include stress management, mental well‐being, holistic and empowering approaches to diet and exercise interventions, as well as culture‐specific lactation and breastfeeding education. Future research should focus on hybrid type 2 effectiveness‐implementation trials in low‐ and middle‐income countries to generate a context‐specific evidence base. There is a need for evidence on effective mental health interventions for mothers after GDM. Given that there is sufficient evidence on diet and exercise information to prevent T2DM, policymakers and health systems should enable its implementation through incentivising prevention and increasing workforce capacity to deliver the prevention of T2DM. There is also a need for greater breastfeeding support for women with a history of GDM. It is crucial that these priorities are supported by principles and values such as universal access, context‐specific evidence‐based practices, and equity‐driven approaches. By addressing these priorities through these principles and values, we can adopt an upstream‐thinking approach and take a necessary step toward reducing the growing disparities in diabetes among individuals with a history of GDM.
FUNDING INFORMATION
This work was funded by the Australian Health Research Alliance Women's Health Research, Translation and Impact Network (WHRTN) Early and Mid‐Career Researcher (EMCR) Funded Awards. SL was funded by a National Health and Medical Research Council (NHMRC) Early Career Fellowship (GNT1139481) during part of the study's conceptualisation and data collection period.
CONFLICT OF INTEREST STATEMENT
All authors declare no conflict of interest.
Supporting information
Supplementary File 1:
Supplementary Table 1: Top rankings of (1) principles and values and (2) priorities underlying research for diabetes prevention after gestational diabetes.
Supplementary Table 2: GDM diagnosis and screening in each included country of this study.
ACKNOWLEDGEMENTS
The authors acknowledge Zainudheen Kottakkal, who has assisted in translating the surveys into the local language and organising the meetings with the consumers in India.
Lesley Pascuzzi, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Fathimath Zuhra, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Amina Sani Adamu, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Rabiatu Muhammad Sagagi, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Heather Scott, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Aswathi Kunnoth, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Prathiba Prasannnakumar, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Saba Nabi, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Sally Kingston, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Hassan Salamah Othman, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Grace Omolade Daniel, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Zainab Salisu Inuwa, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Ayme Limmer, CHIRP consumer group, Eastern Health Clinical School, Monash University, Victoria, Australia
Labaran Dayyabu Aliyu, Maternal Fetal Medicine Unit, Obstetrics and Gynecology Department, Bayero University, Kano, Nigeria
Mark Morgan, Bond University, Robina, Queensland, Australia
Arathi Prahallada Rao, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India
Raman Swathy Vaman, Kerala State Health Services, Kerala, India
Nurul Ameen, Government Medical College, Kozhikode, Kerala, India
Bindiya Sethi, Royal Australian College of General Practitioners, Melbourne, Victoria, Australia
Susan de Jersey, Centre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
Anjali Vannadil, Bangalore Medical College and Research Institute, Karnataka, India
Devendra Kawol, Jimboomba Pharmacy Medical Centre, Jimboomba, Queensland, Australia
Stephanie Pirotta, Monash University, Melbourne, Victoria, Australia
Wesley Hannah, Madras Diabetes Research Foundation, Chennai, India; Deakin University, Melbourne, Australia
Sarah Carter, East Lancashire Hospitals NHS Trust, Lancashire, UK
Marie‐France Hivert, Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Diabetes Unit, Massachusetts General Hospital, Massachusetts, USA
Helen Bitew, University of Rwanda, King Faisal Hospital, Kigali, Rwanda
Ibrahim Gezawa, Endocrinology, Diabetes and Metabolism Unit, Department of Medicine, Bayero University Kano, Kano, Nigeria
Sule Gaya Abdullahi, Maternal‐Fetal Medicine Unit, Department of Obstetrics and Gynaecology, Bayero University/Aminu Kano Teaching Hospital, Kano, Nigeria
Amy Valent, Maternal‐Fetal Medicine, Dept OB/GYN, Oregon Health and Science University, Portland, Oregon, USA
Kartik Venkatesh, Maternal‐Fetal Medicine, Dept OB/GYN, The Ohio State University, Columbus, Ohio, USA
Fiona O'Toole, Maternal‐Fetal Medicine Fellow, National Maternity Hospital, Dublin, Ireland
Kamalu Sidi, Endocrinology, Diabetes and Metabolism Unit, Department of Medicine, Aminu Kano Teaching Hospital, Kano, Nigeria.
Getahun Tarekegn, Endocrinology and Diabetes, Addis Ababa University, Addis Ababa, Ethiopia
Dr. Prathiba Prasannnakumar, DPM, Kottayam, National Ayush Mission, Kerala, India
Suzanne Kelly, Irish College of General Practitioners, Dublin, Ireland
Ulla Kampmann, Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
Gillian Szollos, Carlington Community Health Centre, Ottawa, Ontario, Canada
Akhil Asokan, Kerala State Government Health Services, Kerala, India
Vibhuti Rao, NICM Health Research Institute, Western Sydney University, Westmead, New South Wales, Australia
Anku Mehta, Consultant Obstetrician and Gynaecologist, West Hertfordshire Teaching Hospitals NHS Trust, Hertfordshire, UK
John K. John, Kerala State Government Health Services, Kerala, India
Laya Merin Johnson, Kerala State Government Health Services, Kerala, India
Dr. Saddik Ashraf, St Kyrollos Family Clinic, Coburg, Victoria, Australia
Christina Anne Vinter, Department of Gynecology and Obstetrics and Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
Open access publishing facilitated by Monash University, as part of the Wiley ‐ Monash University agreement via the Council of Australian University Librarians.
Lim S, Makama M, Ioannou E, et al. Values, principles and research priorities for the implementation of type 2 diabetes prevention after gestational diabetes: A global consensus from Asia, Africa, Americas, Europe and Oceania. Diabet Med. 2025;42:e70017. doi: 10.1111/dme.70017
Siew Lim and Maureen Makama contributed equally.
Ahmed Reja, Sharleen L. O'Reilly, Leanne M. Redman, Elezebeth Mathews and Jacqueline Boyle should be considered joint senior author.
For CHIRP team details see Acknowledgements section.
Contributor Information
Siew Lim, Email: siew.lim1@monash.edu.
CHIRP:
Lesley Pascuzzi, Fathimath Zuhra, Amina Sani Adamu, Rabiatu Muhammad Sagagi, Heather Scott, Aswathi Kunnoth, Prathiba Prasannnakumar, Saba Nabi, Sally Kingston, Hassan Salamah Othman, Grace Omolade Daniel, Zainab Salisu Inuwa, Ayme Limmer, Labaran Dayyabu Aliyu, Mark Morgan, Arathi Prahallada Rao, Raman Swathy Vaman, Nurul Ameen, Bindiya Sethi, Susan de Jersey, Anjali Vannadil, Devendra Kawol, Stephanie Pirotta, Wesley Hannah, Sarah Carter, Marie‐France Hivert, Helen Bitew, Ibrahim Gezawa, Sule Gaya Abdullahi, Amy Valent, Kartik Venkatesh, Fiona O’Toole, Kamalu Sidi, Getahun Tarekegn, Prathiba Prasannnakumar, Suzanne Kelly, Ulla Kampmann, Gillian Szollos, Akhil Asokan, Vibhuti Rao, Anku Mehta, John K. John, Laya Merin Johnson, Saddik Ashraf, and Christina Anne Vinter
REFERENCES
- 1. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2023;402(10397):203‐234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Viergever RF, Olifson S, Ghaffar A, Terry RF. A checklist for health research priority setting: nine common themes of good practice. Health Res Policy Syst. 2010;8:36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Sun H, Saeedi P, Karuranga S, et al. IDF Diabetes Atlas: global, regional and country‐level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183:109119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Wang H, Li N, Chivese T, et al. IDF Diabetes Atlas: estimation of global and regional gestational diabetes mellitus prevalence for 2021 by International Association of Diabetes in Pregnancy Study Group's Criteria. Diabetes Res Clin Pract. 2022;183:109050. [DOI] [PubMed] [Google Scholar]
- 5. Vounzoulaki E, Khunti K, Abner SC, Tan BK, Davies MJ, Gillies CL. Progression to type 2 diabetes in women with a known history of gestational diabetes: systematic review and meta‐analysis. BMJ. 2020;369:m1361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Girgis CM, Gunton JE, Cheung NW. The influence of ethnicity on the development of type 2 diabetes mellitus in women with gestational diabetes: a prospective study and review of the literature. ISRN Endocrinol. 2012;2012:341638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Xiang AH, Li BH, Black MH, et al. Racial and ethnic disparities in diabetes risk after gestational diabetes mellitus. Diabetologia. 2011;54(12):3016‐3021. [DOI] [PubMed] [Google Scholar]
- 8. Knowler WC, Barrett‐Connor E, Fowler SE, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393‐403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Aroda VR, Christophi CA, Edelstein SL, et al. The effect of lifestyle intervention and metformin on preventing or delaying diabetes among women with and without gestational diabetes: the Diabetes Prevention Program outcomes study 10‐year follow‐up. J Clin Endocrinol Metab. 2015;100(4):1646‐1653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Ukke GG, Boyle JA, Reja A, et al. Lifestyle interventions to prevent type 2 diabetes in women with a history of gestational diabetes: a systematic review and meta‐analysis through the lens of health equity. Nutrients. 2023;15(21):4666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Ukke GG, Boyle JA, Reja A, et al. A systematic review and meta‐analysis of type 2 diabetes prevention through lifestyle interventions in women with a history of gestational diabetes—a summary of participant and intervention characteristics. Nutrients. 2024;16(24):4413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Ali MK, McKeever Bullard K, Imperatore G, et al. Reach and use of diabetes prevention Services in the United States, 2016‐2017. JAMA Netw Open. 2019;2(5):e193160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Sarker A, Das R, Ether S, Shariful Islam M, Saif‐Ur‐Rahman KM. Non‐pharmacological interventions for the prevention of type 2 diabetes in low‐income and middle‐income countries: a systematic review of randomised controlled trials. BMJ Open. 2022;12(6):e062671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Walker AF, Graham S, Maple‐Brown L, et al. Interventions to address global inequity in diabetes: international progress. Lancet. 2023;402(10397):250‐264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Li APZ, Whyte MB. Disparities in diabetes care. EMJ Diabet. 2021;9(1):92‐101. [Google Scholar]
- 16. Hassan S, Gujral UP, Quarells RC, et al. Disparities in diabetes prevalence and management by race and ethnicity in the USA: defining a path forward. Lancet Diabetes Endocrinol. 2023;11(7):509‐524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. O'Neill J, Tabish H, Welch V, et al. Applying an equity lens to interventions: using PROGRESS ensures consideration of socially stratifying factors to illuminate inequities in health. J Clin Epidemiol. 2014;67(1):56‐64. [DOI] [PubMed] [Google Scholar]
- 18. Guest G, Bunce A, Johnson LS. How many interviews are enough? An experiment with data saturation and variability. Field Methods. 2006;18(1):59‐82. [Google Scholar]
- 19. Guest G, Namey E, Chen M. A simple method to assess and report thematic saturation in qualitative research. PLoS One. 2020;15(5):e0232076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Delbecq AL, Van de Ven AH, Gustafson DH. Group Techniques for Program Planning: A Guide to Nominal Group and Delphi Processes. Scott, Foresman; 1975. [Google Scholar]
- 21. Rankin NM, McGregor D, Butow PN, et al. Adapting the nominal group technique for priority setting of evidence‐practice gaps in implementation science. BMC Med Res Methodol. 2016;16(1):110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Rudan I. Setting health research priorities using the CHNRI method: IV. Key conceptual advances. J Glob Health. 2016;6(1):010501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Campbell KA, Orr E, Durepos P, et al. Reflexive thematic analysis for applied qualitative health research. Qual Rep. 2021;26(6):2011‐2028. [Google Scholar]
- 24. Wändell PE, de Waard AM, Holzmann MJ, et al. Barriers and facilitators among health professionals in primary care to prevention of cardiometabolic diseases: a systematic review. Fam Pract. 2018;35(4):383‐398. [DOI] [PubMed] [Google Scholar]
- 25. Wood AJ, Boyle JA, Barr ELM, et al. Type 2 diabetes after a pregnancy with gestational diabetes among first nations women in Australia: the PANDORA study. Diabetes Res Clin Pract. 2021;181:109092. [DOI] [PubMed] [Google Scholar]
- 26. Jones EJ, Hernandez TL, Edmonds JK, Ferranti EP. Continued disparities in postpartum follow‐up and screening among women with gestational diabetes and hypertensive disorders of pregnancy: a systematic review. J Perinat Neonatal Nurs. 2019;33(2):136‐148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Li APZ. Disparities in diabetes care. Diabetes. 2021;9(1):92‐101. [Google Scholar]
- 28. Hart JT. The inverse care law. Lancet. 1971;1(7696):405‐412. [DOI] [PubMed] [Google Scholar]
- 29. Pan XR, Li GW, Hu YH, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care. 1997;20(4):537‐544. [DOI] [PubMed] [Google Scholar]
- 30. Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD, Vijay V. The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP‐1). Diabetologia. 2006;49(2):289‐297. [DOI] [PubMed] [Google Scholar]
- 31. Tuomilehto J, Lindström J, Eriksson JG, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001;344(18):1343‐1350. [DOI] [PubMed] [Google Scholar]
- 32. Wolfenden L, Foy R, Presseau J, et al. Designing and undertaking randomised implementation trials: guide for researchers. BMJ. 2021;372:m3721. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Delanerolle G, Phiri P, Zeng Y, et al. A systematic review and meta‐analysis of gestational diabetes mellitus and mental health among BAME populations. EClinicalMedicine. 2021;38:101016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Davidsen E, Maindal HT, Rod MH, et al. The stigma associated with gestational diabetes mellitus: a scoping review. EClinicalMedicine. 2022;52:101614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Parsons J, Sparrow K, Ismail K, Hunt K, Rogers H, Forbes A. A qualitative study exploring women's health behaviours after a pregnancy with gestational diabetes to inform the development of a diabetes prevention strategy. Diabet Med. 2019;36(2):203‐213. [DOI] [PubMed] [Google Scholar]
- 36. Barakat S, Martinez D, Thomas M, Handley M. What do we know about gestational diabetes mellitus and risk for postpartum depression among ethnically diverse low‐income women in the USA? Arch Womens Ment Health. 2014;17(6):587‐592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Ferrara A, Hedderson MM, Brown SD, et al. The comparative effectiveness of diabetes prevention strategies to reduce postpartum weight retention in women with gestational diabetes mellitus: the gestational diabetes' effects on moms (GEM) cluster randomized controlled trial. Diabetes Care. 2016;39(1):65‐74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Van Ryswyk E, Middleton P, Hague W, Crowther C. Clinician views and knowledge regarding healthcare provision in the postpartum period for women with recent gestational diabetes: a systematic review of qualitative/survey studies. Diabetes Res Clin Pract. 2014;106(3):401‐411. [DOI] [PubMed] [Google Scholar]
- 39. Victora CG, Bahl R, Barros AJ, et al. Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. Lancet. 2016;387(10017):475‐490. [DOI] [PubMed] [Google Scholar]
- 40. Doughty KN, Taylor SN. Barriers and benefits to breastfeeding with gestational diabetes. Semin Perinatol. 2021;45(2):151385. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary File 1:
Supplementary Table 1: Top rankings of (1) principles and values and (2) priorities underlying research for diabetes prevention after gestational diabetes.
Supplementary Table 2: GDM diagnosis and screening in each included country of this study.
