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Published in: Reproductive Health 1/2021

Open Access 01-12-2021 | Gestational Diabetes | Research

Chinese women’s attitudes towards postpartum interventions to prevent type 2 diabetes after gestational diabetes: a semi-structured qualitative study

Authors: Jie Shang, Amanda Henry, Puhong Zhang, Huan Chen, Kelly Thompson, Xiaodong Wang, Na Liu, Jiani Zhang, Yan Liu, Jianbo Jin, Xiongfei Pan, Xue Yang, Jane E. Hirst

Published in: Reproductive Health | Issue 1/2021

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Abstract

Background

Gestational diabetes (GDM) is a global problem affecting millions of pregnant women, including in mainland China. These women are at high risk of Type II diabetes (T2DM). Cost-effective and clinically effective interventions are needed. We aimed to explore Chinese women’s perspectives, concerns and motivations towards participation in early postpartum interventions and/or research to prevent the development of T2DM after a GDM-affected pregnancy.

Methods

We conducted a qualitative study in two hospitals in Chengdu, Southwest China. Face-to-face semi-structured interviews were conducted with 20 women with recent experience of GDM: 16 postpartum women and 4 pregnant women. Women were asked about their attitudes towards postpartum screening for type 2 diabetes, lifestyle interventions, mHealth delivered interventions and pharmacologic interventions (specifically metformin). An inductive approach to analysis was used. Interviews were recorded, transcribed, and coded using NVivo 12 Pro.

Results

Most women held positive attitudes towards participating in T2DM screening, and were willing to participate in postpartum interventions to prevent T2DM through lifestyle change or mHealth interventions. Women were less likely to agree to pharmacological intervention, unless they had family members with diabetes or needed medication themselves during pregnancy. We identified seven domains influencing women’s attitudes towards future interventions: (1) experiences with the health system during pregnancy; (2) living in an enabling environment; (3) the experience of T2DM in family members; (4) knowledge of diabetes and perception of risk; (5) concerns about personal and baby health; (6) feelings and emotions, and (7) lifestyle constraints. Those with more severe GDM, an enabling environment and health knowledge, and with experience of T2DM in family members expressed more favourable views of postpartum interventions and research participation to prevent T2DM after GDM. Those who perceived themselves as having mild GDM and those with time/lifestyle constraints were less likely to participate.

Conclusions

Women with experiences of GDM in Chengdu are generally willing to participate in early postpartum interventions and/or research to reduce their risk of T2DM, with a preference for non-drug, mHealth based interventions, integrating lifestyle change strategies, blood glucose monitoring, postpartum recovery and mental health.
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Literature
1.
go back to reference Cho N, Shaw J, Karuranga S, Huang Y, da Rocha FJ, Ohlrogge A, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Res Clin Pract. 2018;138:271–81.CrossRef Cho N, Shaw J, Karuranga S, Huang Y, da Rocha FJ, Ohlrogge A, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Res Clin Pract. 2018;138:271–81.CrossRef
2.
go back to reference Wang L, Gao P, Zhang M, Huang Z, Zhang D, Deng Q, et al. Prevalence and ethnic pattern of diabetes and prediabetes in china in 2013. JAMA. 2017;317(24):2515–23.CrossRef Wang L, Gao P, Zhang M, Huang Z, Zhang D, Deng Q, et al. Prevalence and ethnic pattern of diabetes and prediabetes in china in 2013. JAMA. 2017;317(24):2515–23.CrossRef
3.
go back to reference Gao C, Sun X, Lu L, Liu F, Yuan JJ. Prevalence of gestational diabetes mellitus in mainland China: a systematic review and meta-analysis. J Diabetes Investig. 2019;10(1):154–62.CrossRef Gao C, Sun X, Lu L, Liu F, Yuan JJ. Prevalence of gestational diabetes mellitus in mainland China: a systematic review and meta-analysis. J Diabetes Investig. 2019;10(1):154–62.CrossRef
4.
go back to reference Aroda V, Christophi C, Edelstein S, Zhang P, Herman W, Barrett-Connor E, 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):1646–53.CrossRef Aroda V, Christophi C, Edelstein S, Zhang P, Herman W, Barrett-Connor E, 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):1646–53.CrossRef
5.
go back to reference Ratner RE, Christophi CA, Metzger BE, Dabelea D, Bennett PH, Pi-Sunyer X, et al. Prevention of diabetes in women with a history of gestational diabetes: effects of metformin and lifestyle interventions. J Clin Endocrinol Metab. 2008;93(12):4774–9.CrossRef Ratner RE, Christophi CA, Metzger BE, Dabelea D, Bennett PH, Pi-Sunyer X, et al. Prevention of diabetes in women with a history of gestational diabetes: effects of metformin and lifestyle interventions. J Clin Endocrinol Metab. 2008;93(12):4774–9.CrossRef
6.
go back to reference Nagraj S, Hinton L, Praveen D, Kennedy S, Norton R, Hirst J. Women’s and healthcare providers’ perceptions of long-term complications associated with hypertension and diabetes in pregnancy: a qualitative study. BJOG. 2019;126(S4):34–42.CrossRef Nagraj S, Hinton L, Praveen D, Kennedy S, Norton R, Hirst J. Women’s and healthcare providers’ perceptions of long-term complications associated with hypertension and diabetes in pregnancy: a qualitative study. BJOG. 2019;126(S4):34–42.CrossRef
7.
go back to reference McMillan B, Easton K, Goyder E, Delaney B, Madhuvrata P, Abdelgalil R, et al. Reducing risk of type 2 diabetes after gestational diabetes: a qualitative study to explore the potential of technology in primary care. Br J Gen Pract. 2018;68(669):e260–7.CrossRef McMillan B, Easton K, Goyder E, Delaney B, Madhuvrata P, Abdelgalil R, et al. Reducing risk of type 2 diabetes after gestational diabetes: a qualitative study to explore the potential of technology in primary care. Br J Gen Pract. 2018;68(669):e260–7.CrossRef
8.
go back to reference Zhang S, Song X, Wei Y, Deng W. Spatial equity of multilevel healthcare in the metropolis of Chengdu, China: a new assessment approach. Int J Environ Res Public Health. 2019;16(3):493.CrossRef Zhang S, Song X, Wei Y, Deng W. Spatial equity of multilevel healthcare in the metropolis of Chengdu, China: a new assessment approach. Int J Environ Res Public Health. 2019;16(3):493.CrossRef
9.
go back to reference Jia S, Wang C, Li Y, Zhang F, Liu W. The urbanization efficiency in Chengdu City: an estimation based on a three-stage DEA model. Phys Chem Earth Parts A/B/C. 2017;101:59–69.CrossRef Jia S, Wang C, Li Y, Zhang F, Liu W. The urbanization efficiency in Chengdu City: an estimation based on a three-stage DEA model. Phys Chem Earth Parts A/B/C. 2017;101:59–69.CrossRef
10.
go back to reference Zhu W-W, Yang H-X. Diagnosis of gestational diabetes mellitus in China. J Diabetes care. 2013;36(6):e76.CrossRef Zhu W-W, Yang H-X. Diagnosis of gestational diabetes mellitus in China. J Diabetes care. 2013;36(6):e76.CrossRef
11.
go back to reference Lambert SD, Loiselle CG. Combining individual interviews and focus groups to enhance data richness. J Adv Nurs. 2008;62(2):228–37.CrossRef Lambert SD, Loiselle CG. Combining individual interviews and focus groups to enhance data richness. J Adv Nurs. 2008;62(2):228–37.CrossRef
12.
go back to reference QSR International. NVivo Qualitative Data Analysis Software 12 ed1999. QSR International. NVivo Qualitative Data Analysis Software 12 ed1999.
13.
go back to reference Strauss A, Corbin J. Basics of qualitative research: Sage publications; 1990. Strauss A, Corbin J. Basics of qualitative research: Sage publications; 1990.
14.
go back to reference Tung W-C. Doing the month and Asian cultures: implications for health care. Home Health Care Manag Pract. 2010;22(5):369–71.CrossRef Tung W-C. Doing the month and Asian cultures: implications for health care. Home Health Care Manag Pract. 2010;22(5):369–71.CrossRef
15.
go back to reference Van Ryswyk E, Middleton P, Shute E, Hague W, Crowther C. Women’s views and knowledge regarding healthcare seeking for gestational diabetes in the postpartum period: a systematic review of qualitative/survey studies. Diabet Res Clin Pract. 2015;110(2):109–22.CrossRef Van Ryswyk E, Middleton P, Shute E, Hague W, Crowther C. Women’s views and knowledge regarding healthcare seeking for gestational diabetes in the postpartum period: a systematic review of qualitative/survey studies. Diabet Res Clin Pract. 2015;110(2):109–22.CrossRef
16.
go back to reference Zulfiqar T, Lithander FE, Banwell C, Young R, Boisseau L, Ingle M, et al. Barriers to a healthy lifestyle post gestational-diabetes: an Australian qualitative study. Women Birth. 2017;30(4):319–24.CrossRef Zulfiqar T, Lithander FE, Banwell C, Young R, Boisseau L, Ingle M, et al. Barriers to a healthy lifestyle post gestational-diabetes: an Australian qualitative study. Women Birth. 2017;30(4):319–24.CrossRef
17.
go back to reference Bennett WL, Ennen CS, Carrese JA, Hill-Briggs F, Levine DM, Nicholson WK, et al. Barriers to and facilitators of postpartum follow-up care in women with recent gestational diabetes mellitus: a qualitative study. J Women’s Health. 2011;20(2):239–45.CrossRef Bennett WL, Ennen CS, Carrese JA, Hill-Briggs F, Levine DM, Nicholson WK, et al. Barriers to and facilitators of postpartum follow-up care in women with recent gestational diabetes mellitus: a qualitative study. J Women’s Health. 2011;20(2):239–45.CrossRef
18.
go back to reference Nielsen JH, Olesen CR, Kristiansen TM, Bak CK, Overgaard C. Reasons for women’s non-participation in follow-up screening after gestational diabetes. Women Birth. 2015;28(4):e157-63.CrossRef Nielsen JH, Olesen CR, Kristiansen TM, Bak CK, Overgaard C. Reasons for women’s non-participation in follow-up screening after gestational diabetes. Women Birth. 2015;28(4):e157-63.CrossRef
19.
go back to reference Jia N, Dong X-Y, Song Y-P. Paid Maternity Leave and Breastfeeding in Urban China. Fem Econ. 2018;24(2):31–53.CrossRef Jia N, Dong X-Y, Song Y-P. Paid Maternity Leave and Breastfeeding in Urban China. Fem Econ. 2018;24(2):31–53.CrossRef
20.
go back to reference Pinho‐Gomes AC, Morelli G, Jones A, Woodward MJD, Obesity, Metabolism. Association of lactation with maternal risk of type 2 diabetes–a systematic review and meta‐analysis of observational studies. 2021. Pinho‐Gomes AC, Morelli G, Jones A, Woodward MJD, Obesity, Metabolism. Association of lactation with maternal risk of type 2 diabetes–a systematic review and meta‐analysis of observational studies. 2021.
21.
go back to reference Parsons J, Ismail K, Amiel S, Forbes A. Perceptions among women with gestational diabetes. Qual Health Res. 2014;24(4):575–85.CrossRef Parsons J, Ismail K, Amiel S, Forbes A. Perceptions among women with gestational diabetes. Qual Health Res. 2014;24(4):575–85.CrossRef
22.
go back to reference Meng QP, Fang HP, Liu XP, Yuan BP, Xu JBA. Consolidating the social health insurance schemes in China: towards an equitable and efficient health system. Lancet. 2015;386(10002):1484–92.CrossRef Meng QP, Fang HP, Liu XP, Yuan BP, Xu JBA. Consolidating the social health insurance schemes in China: towards an equitable and efficient health system. Lancet. 2015;386(10002):1484–92.CrossRef
23.
go back to reference Eysenbach G, Rothstein J, Bragazzi N, Zhang P, Dong L, Chen H, et al. The rise and need for mobile apps for maternal and child health care in china: survey based on app markets. JMIR mHealth and uHealth. 2018;6:6.CrossRef Eysenbach G, Rothstein J, Bragazzi N, Zhang P, Dong L, Chen H, et al. The rise and need for mobile apps for maternal and child health care in china: survey based on app markets. JMIR mHealth and uHealth. 2018;6:6.CrossRef
24.
go back to reference Jones EJ, Peercy M, Woods JC, Parker SP, Jackson T, Mata SA, et al. Identifying postpartum intervention approaches to reduce cardiometabolic risk among American Indian women with prior gestational diabetes, Oklahoma, 2012–2013. Prev Chronic Dis. 2015;12:E45.CrossRef Jones EJ, Peercy M, Woods JC, Parker SP, Jackson T, Mata SA, et al. Identifying postpartum intervention approaches to reduce cardiometabolic risk among American Indian women with prior gestational diabetes, Oklahoma, 2012–2013. Prev Chronic Dis. 2015;12:E45.CrossRef
25.
go back to reference Sundarapperuma TD, Wijesinghe CJ, Hettiarachchi P, Wasalathanthri S. Perceptions on diet and dietary modifications during postpartum period aiming at attenuating progression of GDM to DM: A Qualitative Study of Mothers and Health Care Workers. J Diabetes Res. 2018;645:9364. Sundarapperuma TD, Wijesinghe CJ, Hettiarachchi P, Wasalathanthri S. Perceptions on diet and dietary modifications during postpartum period aiming at attenuating progression of GDM to DM: A Qualitative Study of Mothers and Health Care Workers. J Diabetes Res. 2018;645:9364.
Metadata
Title
Chinese women’s attitudes towards postpartum interventions to prevent type 2 diabetes after gestational diabetes: a semi-structured qualitative study
Authors
Jie Shang
Amanda Henry
Puhong Zhang
Huan Chen
Kelly Thompson
Xiaodong Wang
Na Liu
Jiani Zhang
Yan Liu
Jianbo Jin
Xiongfei Pan
Xue Yang
Jane E. Hirst
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Reproductive Health / Issue 1/2021
Electronic ISSN: 1742-4755
DOI
https://doi.org/10.1186/s12978-021-01180-1

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