Systematically developing a family-based health promotion intervention for women with prior gestational diabetes based on evidence, theory and co-production: the Face-it study

Helle Terkildsen Maindal, Anne Timm, Inger Katrine Dahl-Petersen, Emma Davidsen, Line Hillersdal, Nanna Husted Jensen, Maja Thøgersen, Dorte Møller Jensen, Per Ovesen, Peter Damm, Ulla Kampmann, Christina Anne Vinter, Elisabeth Reinhardt Mathiesen, Karoline Kragelund Nielsen, Helle Terkildsen Maindal, Anne Timm, Inger Katrine Dahl-Petersen, Emma Davidsen, Line Hillersdal, Nanna Husted Jensen, Maja Thøgersen, Dorte Møller Jensen, Per Ovesen, Peter Damm, Ulla Kampmann, Christina Anne Vinter, Elisabeth Reinhardt Mathiesen, Karoline Kragelund Nielsen

Abstract

Background: Women with prior gestational diabetes mellitus (GDM) are at high risk of developing type 2 diabetes; however, this risk can be reduced by engaging in positive health behaviours e.g. healthy diet and regular physical activity. As such behaviours are difficult to obtain and maintain there is a need to develop sustainable behavioural interventions following GDM. We aimed to report the process of systematically developing a health promotion intervention to increase quality of life and reduce diabetes risk among women with prior GDM and their families. We distil general lessons about developing complex interventions through co-production and discuss our extensions to intervention development frameworks.

Methods: The development process draws on the Medical Research Council UK Development of complex interventions in primary care framework and an adaptation of a three-stage framework proposed by Hawkins et al. From May 2017 to May 2019, we iteratively developed the Face-it intervention in four stages: 1) Evidence review, qualitative research and stakeholder consultations; 2) Co-production of the intervention content; 3) Prototyping, feasibility- and pilot-testing and 4) Core outcome development. In all stages, we involved stakeholders from three study sites.

Results: During stage 1, we identified the target areas for health promotion in families where the mother had prior GDM, including applying a broad understanding of health and a multilevel and multi-determinant approach. We pinpointed municipal health visitors as deliverers and the potential of using digital technology. In stage 2, we tested intervention content and delivery methods. A health pedagogic dialogue tool and a digital health app were co-adapted as the main intervention components. In stage 3, the intervention content and delivery were further adapted in the local context of the three study sites. Suggestions for intervention manuals were refined to optimise flexibility, delivery, sequencing of activities and from this, specific training manuals were developed. Finally, at stage 4, all stakeholders were involved in developing realistic and relevant evaluation outcomes.

Conclusions: This comprehensive description of the development of the Face-it intervention provides an example of how to co-produce and prototype a complex intervention balancing evidence and local conditions. The thorough, four-stage development is expected to create ownership and feasibility among intervention participants, deliverers and local stakeholders.

Trial registration: ClinicalTrials.gov NCT03997773 , registered retrospectively on 25 June 2019.

Keywords: Co-production; Complex intervention; Family intervention; Gestational diabetes mellitus; Health promotion; Intervention development; Postpartum period; Type 2 diabetes prevention.

Conflict of interest statement

HTM, AT, IDP, ED, MT and KKN are employed at Steno Diabetes Center Copenhagen. DMJ and CAV are employed at Steno Diabetes Center Odense. UK is employed at Steno Diabetes Center Aarhus. The three Steno Diabetes Centers are regional public hospitals and research institutions, which are partly funded by grants from Novo Nordisk Foundation. The funders had no role in any part of this article. LH, NHJ, PD, ERM have no competing interests.

© 2021. The Author(s).

Figures

Fig. 1
Fig. 1
Four-stage process of the Face-it intervention development

References

    1. Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373(9677):1773–1779. doi: 10.1016/S0140-6736(09)60731-5.
    1. Black MH, Sacks DA, Xiang AH, Lawrence JM. Clinical outcomes of pregnancies complicated by mild gestational diabetes mellitus differ by combinations of abnormal oral glucose tolerance test values. Diabetes Care. 2010;33(12):2524–2530. doi: 10.2337/dc10-1445.
    1. Carr DB, Utzschneider KM, Hull RL, Tong J, Wallace TM, Kodama K, Shofer JB, Heckbert SR, Boyko EJ, Fujimoto WY, Kahn SE, the American Diabetes Association GENNID Study Group Gestational diabetes mellitus increases the risk of cardiovascular disease in women with a family history of type 2 diabetes. Diabetes Care. 2006;29(9):2078–2083. doi: 10.2337/dc05-2482.
    1. Clausen TD, Mathiesen ER, Hansen T, Pedersen O, Jensen DM, Lauenborg J, Damm P. High prevalence of type 2 diabetes and pre-diabetes in adult offspring of women with gestational diabetes mellitus or type 1 diabetes: the role of intrauterine hyperglycemia. Diabetes Care. 2008;31(2):340–346. doi: 10.2337/dc07-1596.
    1. Hapo Study Cooperative Research Group. Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, et al. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008;358(19):1991–2002. doi: 10.1056/NEJMoa0707943.
    1. . 2020.
    1. 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: 10.1136/bmj.m1361.
    1. Dasgupta K, Ross N, Meltzer S, Da Costa D, Nakhla M, Habel Y, et al. Gestational diabetes mellitus in mothers as a diabetes predictor in fathers: a retrospective cohort analysis. Diabetes Care. 2015;38(9):e130–e131. doi: 10.2337/dc15-0855.
    1. Ratner RE, Christophi CA, Metzger BE, Dabelea D, Bennett PH, Pi-Sunyer X, Fowler S, Kahn SE, The Diabetes Prevention Program Research Group Prevention of diabetes in women with a history of gestational diabetes: effects of metformin and lifestyle interventions. J Clin Endocrinol Metab. 2008;93(12):4774–4779. doi: 10.1210/jc.2008-0772.
    1. Kim C, Newton KM, Knopp RH. Gestational diabetes and the incidence of type 2 diabetes: a systematic review. Diabetes Care. 2002;25(10):1862–1868. doi: 10.2337/diacare.25.10.1862.
    1. Stage E, Ronneby H, Damm P. Lifestyle change after gestational diabetes. Diabetes Res Clin Pract. 2004;63(1):67–72. doi: 10.1016/j.diabres.2003.08.009.
    1. Kim C, McEwen LN, Piette JD, Goewey J, Ferrara A, Walker EA. Risk perception for diabetes among women with histories of gestational diabetes mellitus. Diabetes Care. 2007;30(9):2281–2286. doi: 10.2337/dc07-0618.
    1. Nielsen KK, Kapur A, Damm P, de Courten M, Bygbjerg IC. From screening to postpartum follow-up - the determinants and barriers for gestational diabetes mellitus (GDM) services, a systematic review. BMC Pregnancy Childbirth. 2014;14(1):41. doi: 10.1186/1471-2393-14-41.
    1. Parsons J, Ismail K, Amiel S, Forbes A. Perceptions among women with gestational diabetes. Qual Health Res. 2014;24(4):575–585. doi: 10.1177/1049732314524636.
    1. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M, et al. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337:a1655. doi: 10.1136/bmj.a1655.
    1. Bleijenberg N, de Man-van Ginkel JM, Trappenburg JCA, Ettema RGA, Sino CG, Heim N, Hafsteindóttir TB, Richards DA, Schuurmans MJ. Increasing value and reducing waste by optimizing the development of complex interventions: enriching the development phase of the Medical Research Council (MRC) framework. Int J Nurs Stud. 2018;79:86–93. doi: 10.1016/j.ijnurstu.2017.12.001.
    1. Hawkins J, Madden K, Fletcher A, Midgley L, Grant A, Cox G, Moore L, Campbell R, Murphy S, Bonell C, White J. Development of a framework for the co-production and prototyping of public health interventions. BMC Public Health. 2017;17(1):689. doi: 10.1186/s12889-017-4695-8.
    1. Leask CF, Sandlund M, Skelton DA, Altenburg TM, Cardon G, Chinapaw MJM, et al. Framework, principles and recommendations for utilising participatory methodologies in the co-creation and evaluation of public health interventions. Res Involv Engagem. 2019;5(1):2. doi: 10.1186/s40900-018-0136-9.
    1. Movsisyan A, Arnold L, Evans R, Hallingberg B, Moore G, O'Cathain A, et al. Adapting evidence-informed complex population health interventions for new contexts: a systematic review of guidance. Implement Sci. 2019;14(1):105. doi: 10.1186/s13012-019-0956-5.
    1. Fletcher I, Birko S, Dove ES, Laurie GT, McMillan C, Postan E, Sethi N, Sorbie A. Co-production and managing uncertainty in Health Research regulation: a Delphi study. Health Care Anal. 2020;28(2):99–120. doi: 10.1007/s10728-019-00383-9.
    1. Pedersen ALW, Terkildsen Maindal H, Juul L. How to prevent type 2 diabetes in women with previous gestational diabetes? A systematic review of behavioural interventions. Prim Care Diabetes. 2017;11(5):403–413. doi: 10.1016/j.pcd.2017.05.002.
    1. Nielsen KK, Grunnet LG, Maindal HT. Prevention of type 2 diabetes after gestational diabetes directed at the family context: a narrative review from the Danish diabetes academy symposium. Diabet Med. 2018;35(6):7.
    1. Svensson L, Nielsen KK, Maindal HT. What is the postpartum experience of Danish women following gestational diabetes? A qualitative exploration. Scand J Caring Sci. 2018;32(2):756–764. doi: 10.1111/scs.12506.
    1. Kjeldsen F. Attitudes and beliefs about health among fathers with a high risk of type 2-diabetes: a qualitative study. Aarhus: Aarhus University; 2018.
    1. Timm A, Nielsen KK, Christensen U, Maindal HT. Healthcare Professionals' Perspectives on the Cross-Sectoral Treatment Pathway for Women with Gestational Diabetes during and after Pregnancy-A Qualitative Study. J Clin Med. 2021;10(4):843. 10.3390/jcm10040843.
    1. Nielsen KK, Dahl-Petersen IK, Jensen DM, Ovesen P, Damm P, Jensen NH, et al. Protocol for a randomised controlled trial of a co-produced, complex, health promotion intervention for women with prior gestational diabetes and their families: the face-it study. Trials. 2020;21(1):146. doi: 10.1186/s13063-020-4062-4.
    1. Wu N, O'Reilly S, Nielsen KK, Maindal HT, Dasgupta K. Core outcome set for diabetes after pregnancy prevention across the life span: international Delphi study. BMJ Open Diabetes Res Care. 2020;8(2):e001594. 10.1136/bmjdrc-2020-001594.
    1. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55(1):68–78. doi: 10.1037/0003-066X.55.1.68.
    1. Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6(1):42. doi: 10.1186/1748-5908-6-42.
    1. Williamson PR, Altman DG, Bagley H, Barnes KL, Blazeby JM, Brookes ST, et al. The COMET Handbook: version 1.0. Trials. 2017;18(Suppl 3):280. doi: 10.1186/s13063-017-1978-4.
    1. Nielsen KK, O'Reilly S, Wu N, Dasgupta K, Maindal HT. Development of a core outcome set for diabetes after pregnancy prevention interventions (COS-DAP): a study protocol. Trials. 2018;19(1):708. doi: 10.1186/s13063-018-3072-y.
    1. McManus R, Miller D, Mottola M, Giroux I, Donovan L. Translating healthy living messages to postpartum women and their partners after gestational diabetes (GDM): body habitus, A1C, lifestyle habits, and program engagement results from the families defeating diabetes (FDD) randomized trial. Am J Health Promot. 2018;32(6):1438–1446. doi: 10.1177/0890117117738210.
    1. World Health Organization. Constitution of the World Health Organization. International health conference New York 22 July 1946. Geneva: World Health Organization; 1946.
    1. O'Reilly SL, Dunbar JA, Versace V, Janus E, Best JD, Carter R, et al. Mothers after gestational diabetes in Australia (MAGDA): a randomised controlled trial of a postnatal diabetes prevention program. PLoS Med. 2016;13(7):e1002092. doi: 10.1371/journal.pmed.1002092.
    1. Lim S, Dunbar JA, Versace VL, Janus E, Wildey C, Skinner T, O'Reilly S. Comparing a telephone- and a group-delivered diabetes prevention program: characteristics of engaged and non-engaged postpartum mothers with a history of gestational diabetes. Diabetes Res Clin Pract. 2017;126:254–262. doi: 10.1016/j.diabres.2017.02.026.
    1. Buis LR, Hirzel L, Turske SA, Des Jardins TR, Yarandi H, Bondurant P. Use of a text message program to raise type 2 diabetes risk awareness and promote health behavior change (part II): assessment of participants' perceptions on efficacy. J Med Internet Res. 2013;15(12):e282. doi: 10.2196/jmir.2929.
    1. Nicklas JM, Zera CA, Seely EW, Abdul-Rahim ZS, Rudloff ND, Levkoff SE. Identifying postpartum intervention approaches to prevent type 2 diabetes in women with a history of gestational diabetes. BMC Pregnancy Childbirth. 2011;11(1):23. doi: 10.1186/1471-2393-11-23.
    1. Athavale P, Thomas M, Delgadillo-Duenas AT, Leong K, Najmabadi A, Harleman E, et al. Linking high risk postpartum women with a technology enabled health coaching program to reduce diabetes risk and improve wellbeing: program description, case studies, and recommendations for community health coaching programs. J Diabetes Res. 2016;2016:4353956. doi: 10.1155/2016/4353956.
    1. Fischer HH, Fischer IP, Pereira RI, Furniss AL, Rozwadowski JM, Moore SL, Durfee MJ, Raghunath SG, Tsai AG, Havranek EP. Text message support for weight loss in patients with prediabetes: a randomized clinical trial. Diabetes Care. 2016;39(8):1364–1370. doi: 10.2337/dc15-2137.
    1. Rosenbaum DL, Piers AD, Schumacher LM, Kase CA, Butryn ML. Racial and ethnic minority enrollment in randomized clinical trials of behavioural weight loss utilizing technology: a systematic review. Obes Rev. 2017;18(7):808–817. doi: 10.1111/obr.12545.
    1. Brandt CJ, Brandt V, Pedersen M, Glintborg D, Toubro S, Nielsen JB, et al. Long-term effect of interactive online dietician weight loss advice in general practice (LIVA) protocol for a randomized controlled trial. Int J Family Med. 2014;2014:245347. doi: 10.1155/2014/245347.
    1. Haste A, Adamson AJ, McColl E, Araujo-Soares V, Bell R. Web-based weight loss intervention for men with type 2 diabetes: pilot randomized controlled trial. JMIR Diabetes. 2017;2(2):e14. doi: 10.2196/diabetes.7430.
    1. Brandt CJ, Christensen JR, Lauridsen JT, Nielsen JB, Sondergaard J, Sortso C. Evaluation of the clinical and economic effects of a primary care anchored, collaborative, electronic health lifestyle coaching program in Denmark: protocol for a two-year randomized controlled trial. JMIR Res Protoc. 2020;9(6):e19172. doi: 10.2196/19172.
    1. O'Reilly SL, Leonard Y, Dasgupta K, Terkildsen MH. Diabetes after pregnancy prevention trials: systematic review for core outcome set development. Matern Child Nutr. 2020;16(3):e12947. doi: 10.1111/mcn.12947.
    1. Buelo AK, Kirk A, Lindsay RS, Jepson RG. Exploring the effectiveness of physical activity interventions in women with previous gestational diabetes: a systematic review of quantitative and qualitative studies. Prev Med Rep. 2019;14:100877. doi: 10.1016/j.pmedr.2019.100877.
    1. Wicks P, Richards T, Denegri S, Godlee F. Patients' roles and rights in research. BMJ. 2018;362:k3193. doi: 10.1136/bmj.k3193.
    1. Aventin A, Lohan M, O'Halloran P, Henderson M. Design and development of a film-based intervention about teenage men and unintended pregnancy: applying the Medical Research Council framework in practice. Eval Program Plann. 2015;49:19–30. doi: 10.1016/j.evalprogplan.2014.11.003.
    1. Hallingberg B, Turley R, Segrott J, Wight D, Craig P, Moore L, Murphy S, Robling M, Simpson SA, Moore G. Exploratory studies to decide whether and how to proceed with full-scale evaluations of public health interventions: a systematic review of guidance. Pilot Feasibility Stud. 2018;4(1):104. doi: 10.1186/s40814-018-0290-8.
    1. Moore GF, Evans RE, Hawkins J, Littlecott H, Melendez-Torres GJ, Bonell C, Murphy S. From complex social interventions to interventions in complex social systems: future directions and unresolved questions for intervention development and evaluation. Evaluation (Lond) 2019;25(1):23–45. doi: 10.1177/1356389018803219.
    1. Bombard Y, Baker GR, Orlando E, Fancott C, Bhatia P, Casalino S, Onate K, Denis JL, Pomey MP. Engaging patients to improve quality of care: a systematic review. Implement Sci. 2018;13(1):98. doi: 10.1186/s13012-018-0784-z.
    1. Harris J, Haltbakk J, Dunning T, Austrheim G, Kirkevold M, Johnson M, Graue M. How patient and community involvement in diabetes research influences health outcomes: a realist review. Health Expect. 2019;22(5):907–920. doi: 10.1111/hex.12935.
    1. Boutron I, Altman DG, Moher D, Schulz KF, Ravaud P, Group CN CONSORT statement for randomized trials of nonpharmacologic treatments: a 2017 update and a CONSORT extension for nonpharmacologic trial abstracts. Ann Intern Med. 2017;167(1):40–47. doi: 10.7326/M17-0046.
    1. Eldridge SM, Lancaster GA, Campbell MJ, Thabane L, Hopewell S, Coleman CL, et al. Defining Feasibility and Pilot Studies in Preparation for Randomised Controlled Trials: Development of a Conceptual Framework. PLoS One. 2016;11(3):e0150205. doi: 10.1371/journal.pone.0150205.
    1. O'Cathain A, Croot L, Duncan E, Rousseau N, Sworn K, Turner KM, Yardley L, Hoddinott P. Guidance on how to develop complex interventions to improve health and healthcare. BMJ Open. 2019;9(8):e029954. doi: 10.1136/bmjopen-2019-029954.

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