Cited by 13Gestational Diabetes Research and ManagementDiabetes Management and EducationDiabetes Management and Research

The experiences of individuals who have had gestational diabetes: A qualitative exploration

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Roesler, Anna, Butten, Kaley, Taylor, Pennie, Morrison, Melinda, Varnfield, Marlien, Holmes‐Truscott, Elizabeth·2024·Diabetic Medicine

Abstract

Aim: To qualitatively explore the experiences of individuals with Gestational Diabetes Mellitus (GDM) in Australia, and to recognise opportunities for leveraging digital health to enhance the support of GDM management. Method: A cross sectional online survey assessed the experiences of individuals with GDM, the healthcare system and their digital health usage. Respondents (recruited via a national diabetes registry or social media) were adults receiving GDM care within Australia in the last 5 years, who responded to any of three open‐ended questions (n = 815) exploring positive, negative and other GDM experiences. Thematic analysis was utilised, and themes were mapped to the socio‐ecological systems framework. Results: At a system level, themes related to (1) accessibility of care including the value of digital health and the inflexible or inconsistent perception of the (2) implementation of guidelines. At an interpersonal level, themes covered the need for adequate (3) health information provision, and (4) supportive care, as well as highlighting (5) experiences of stigma including a desire for greater awareness of GDM. Individual‐level themes included: (6) differential barriers to accessing care; (7) negative emotional burden; (8) internalisation of stigma; (9) dietary freedom and social impact and (10) opportunity for change derived from having GDM. Conclusion: Findings suggest a demand for more supportive, person‐centred GDM care, improved information provision and individualised implementation of clinical guidelines. Such mechanisms may support reduced barriers to accessing care or negative psychosocial impacts of GDM. Though not central to the identified experiences, digital health tools may help address the need for optimised GDM care.

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  1. Nankervis A, Price S, Conn J. Gestational diabetes mellitus: a pragmatic approach to diagnosis and management. Aust J Gen Pract. 2018;47(7):445-449.
  2. Craig L, Sims R, Glasziou P, Thomas R. Women's experiences of a diagnosis of gestational diabetes mellitus: a systematic review. BMC Pregnancy Childbirth. 2020;20(1):1-15.
  3. Devsam BU, Bogossian FE, Peacock AS. An interpretive review of women's experiences of gestational diabetes mellitus: pro- posing a framework to enhance midwifery assessment. Women Birth. 2013;26(2):e69-e76.
  4. Pham S, Churruca K, Ellis LA, Braithwaite J. A scoping review of gestational diabetes mellitus healthcare: experiences of care reported by pregnant women internationally. BMC Pregnancy Childbirth. 2022;22(1):1-12.
  5. Varnfield M, Redd C, Stoney RM, et al. M♡ THer, an mHealth system to support women with gestational diabetes melli- tus: feasibility and acceptability study. Diabetes Technol Ther. 2021;23(5):358-366.
  6. Laurie JG, Wilkinson SA, Griffin A, McIntyre HD. GDM care re-imagined: maternal and neonatal outcomes following a major model of care change for gestational diabetes mellitus at a large metropolitan hospital. Aust N Z J Obstet Gynaecol. 2023;63:681-688.
  7. Barclay K, Myrskylä M. Advanced maternal age and offspring outcomes: Reproductive aging and counterbalancing period trends. Population Developm Rev. 2016;42(1):69-94.
  8. Roesler A, Butten K, Calyx C, Holmes-Truscott E, Taylor PJ. Use and preferences of health apps among women and health- care professionals regarding GDM postpartum care: a cross- sectional survey. Nutrients. 2023;15(15):3304.
  9. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349-357.
  10. Bronfenbrenner U. Toward an experimental ecology of human development. Am Psychol. 1977;32(7):513-531.
  11. Nankervis A, Conn J. Gestational diabetes mellitus: negotiating the confusion. Aust Fam Physician. 2013;42(8):528-531.
  12. Golin CE, DiMatteo MR, Gelberg L. The role of patient partici- pation in the doctor visit: implications for adherence to diabetes care. Diabetes Care. 1996;19(10):1153-1164.
  13. Litterbach E, Holmes-Truscott E, Pouwer F, Speight J, Hendrieckx C. I wish my healthprofessionals understood that it's not just all about your HbA1c !. Qualitative responses from the second Diabetes MILES Australia (MILES-2) study. Diabet Med. 2020;37(6):971-981. doi:10.1111/dme.14199 · DOI
  14. Sina M, Cade TJ, Flack J, et al. Antenatal models of care for women with gestational diabetes mellitus: vignettes from an international meeting. Aust N Z J Obstet Gynaecol. 2020;60(5):720-728.
  15. Speight J, Holmes-Truscott E, Garza M, et al. Bringing an end to diabetes stigma and discrimination: an international consen- sus statement on evidence and recommendations. The Lancet Diabetes & Endocrinology. 2024;12(1):61-82.
  16. Davidsen E, Maindal HT, Byrne M, et al. A qualitative inves- tigation into the perceptions and experiences of the stigma attached to gestational diabetes mellitus among women in Denmark. Diabetes Res Clin Pract. 2023;203:110858.
  17. Morrison MK, Lowe JM, Collins CE. Australian women's ex- periences of living with gestational diabetes. Women Birth. 2014;27(1):52-57.
  18. Petrak F, Herpertz S, Albus C, Hirsch A, Kulzer B, Kruse J. Psychosocial factors and diabetes mellitus: evidence-based treatment guidelines. Curr Diabetes Rev. 2005;1(3):255-270.
  19. Wildevuur SE, Simonse LW. Information and communica- tion technology-enabled person-centered care for the "big five" chronic conditions: scoping review. J Med Internet Res. 2015;17(3):e77.
  20. Ekezie W, Dallosso H, Saravanan P, Khunti K, Hadjiconstantinou M. Experiences of using a digital type 2 diabetes prevention ap- plication designed to support women with previous gestational diabetes. BMC Health Serv Res. 2021;21(1):1-10.

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Authors
Roesler, A., Butten, K., Taylor, P., Morrison, M., Varnfield, M., & Holmes‐Truscott, E.
Affiliations
  • Commonwealth Scientific and Industrial Research Organisation (AU)
  • Diabetes Australia (AU)
  • Deakin University (AU)
Corresponding author
Roesler, Anna
Venue
Diabetic Medicine
Publisher
Wiley
Published
2024-06-09
Volume
41
Issue
11
Pages
e15374-e15374
ISSN
  • 0742-3071 (ISSN-L)
  • 1464-5491
OpenAlex
W4399508219
Cited by
13
References
4
Citations by year
2026: 6 · 2025: 5 · 2024: 2
FWCI
7.20
Type
journal article
Language
en
Open access
Locations
  • Diabetic Medicine (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
  • Australian Government
  • Diabetes Australia
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
gestational diabetes mellitus, patient experience, digital health, stigma, supportive care, health information provision, barriers to care, guideline implementation, psychosocial impact, social impact, person-centred care
MeSH terms
Adult, Australia, Cross-Sectional Studies, Female, Health Services Accessibility, Humans, Male, Middle Aged, Pregnancy, Surveys and Questionnaires, Diabetes, Gestational, Qualitative Research, Young Adult, Social Stigma

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