Vol 92, No 10 (2021)
Research paper
Published online: 2021-04-23

open access

Page views 7537
Article views/downloads 1790
Get Citation

Connect on Social Media

Connect on Social Media

Application of online-offline integrated medical care management in patients with gestational diabetes

Ying Guo1, Ling Zhou1, Bei Sun2, Chenhui Wang1, Jinling Zhang2
Pubmed: 33914304
Ginekol Pol 2021;92(10):720-725.


Objectives: To investigate efficacy of online-offline integrated medical care management in patients with gestational diabetes.
Material and methods: A total of 140 patients with gestational diabetes were randomly divided into two groups: integrated management (IM) group (n = 70) and control group (n = 70). Patients in the control group were treated with routine nursing intervention, and the patients in the IM group were treated with integrated care (offline medical and nursing management combined with WeChat online management). The fasting plasma glucose (FPG), 2h postprandial plasma glucose (2hPG), Self-rating Anxiety Scale (SAS) score, Self-rating Depression Scale (SDS) score, Diabetes Care Profile (DPC) score, 36-item Short-Form (SF-36) score, and poor pregnancy outcomes were compared between the two groups.
Results: After intervention, the FPG, 2hPG, SAS score, SDS score, DPC score and SF-36 score were improved in both groups. All indicators in the IM group were better than the control group (p < 0.05). The incidence of premature delivery, polyhydramnios, neonatal respiratory distress, intrauterine distress, and postpartum hemorrhage in the IM group were lower than those in the control group (p < 0.05).
Conclusions: The online-offline integrated medical care management effectively improved the blood glucose level, mental state, self-management behavior, quality of life and pregnancy outcomes of patients with gestational diabetes.

Article available in PDF format

View PDF Download PDF file


  1. Ge Li, Wikby K, Rask M. Lived experience of women with gestational diabetes mellitus living in China: a qualitative interview study. BMJ Open. 2017; 7(11): e017648.
  2. Qiu H, Yu HY, Wang LY, et al. Electronic health record driven prediction for gestational diabetes mellitus in early pregnancy. Sci Rep. 2017; 7(1): 16417.
  3. Hurst C, Flannery C, Byrne M, et al. Investigating the perceived benefits, barriers and beliefs towards physical activity in pregnancy among women with gestational diabetes mellitus. Ir Med J. 2017; 110(7): 617.
  4. Yuanmei L, Qian Z, Fengsen X, et al. Restricted gestational weight gain in overweight/obese women with gestational diabetes mellitus and pregnancy outcomes. Clinical and Experimental Obstetrics & Gynecology. 2019; 46(5): 763–769.
  5. Zung WW. A rating instrument for anxiety disorders. Psychosomatics. 1971; 12(6): 371–379.
  6. Zung WW. A self-rating depression scale. Arch Gen Psychiatry. 1965; 12: 63–70.
  7. Fitzgerald JT, Davis WK, Connell CM, et al. Development and validation of the Diabetes Care Profile. Eval Health Prof. 1996; 19(2): 208–230.
  8. Del Core MA, Ahn J, Wukich DK, et al. Gender differences on SF-36 patient-reported outcomes of diabetic foot disease. Int J Low Extrem Wounds. 2018; 17(2): 87–93.
  9. Kc K, Shakya S, Zhang H. Gestational diabetes mellitus and macrosomia: a literature review. Ann Nutr Metab. 2015; 66(Suppl 2): 14–20.
  10. Wei J, Li X, Gao J. Insulin secretion and tolerance of women with different gestational glucose regulation one year postpartum. Int J Clin Exp Med. 2015; 8(4): 6384–6387.
  11. 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.
  12. Ferrocino I, Ponzo V, Gambino R, et al. Changes in the gut microbiota composition during pregnancy in patients with gestational diabetes mellitus (GDM). Sci Rep. 2018; 8(1): 12216.
  13. Zaręba-Szczudlik J, Pykało-Gawińska D, Stępień A, et al. Gestational diabetes mellitus (GDM) — do the number of fulfilled diagnostic criteria predict the perinatal outcome? Ginekol Pol. 2018; 89(7): 381–387.
  14. Boyle DIR, Versace VL, Dunbar JA, et al. MAGDA Study Group. Results of the first recorded evaluation of a national gestational diabetes mellitus register: challenges in screening, registration, and follow-up for diabetes risk. PLoS One. 2018; 13(8): e0200832.
  15. Jin W, Cui B, Li P, et al. 1,25-Dihydroxyvitamin D3 protects obese rats from metabolic syndrome promoting regulatory T cell-mediated resolution of inflammation. Acta Pharm Sin B. 2018; 8(2): 178–187.
  16. Manna P, Achari AE, Jain SK. 1,25(OH)2-vitamin D3 upregulates glucose uptake mediated by SIRT1/IRS1/GLUT4 signaling cascade in C2C12 myotubes. Mol Cell Biochem. 2018; 444(1–2): 103–108.
  17. Pelayo S, Anceaux F, Rogalski J, et al. A comparison of the impact of CPOE implementation and organizational determinants on doctor-nurse communications and cooperation. Int J Med Inform. 2013; 82(12): e321–e330.
  18. Kvæl LA, Debesay J, Langaas A, et al. A concept analysis of patient participation in intermediate care. Patient Educ Couns. 2018; 101(8): 1337–1350.
  19. Kreitzer MJ. Integrative nursing around the globe. Glob Adv Health Med. 2015; 4(3): 3–4.
  20. Wu IXY, Kee JCY, Threapleton DE, et al. Effectiveness of smartphone technologies on glycaemic control in patients with type 2 diabetes: systematic review with meta-analysis of 17 trials. Obes Rev. 2018; 19(6): 825–838.
  21. O'Reilly SL, Laws R. Health-e mums: evaluating a smartphone app design for diabetes prevention in women with previous gestational diabetes. Nutr Diet. 2019; 76(5): 507–514.
  22. Loreup L, Gibson OJ, Hirst JE, et al. GDm-Health: a pilot study demonstrating the feasibility of mobile hone assisted treatment advice and medication adjustment for women with gestational diabetes. Diabetic Medicine. 2014; 31: 148–149.