Barriers of Adherence and Possible Solutions to Nonadherence to Antidiabetic Therapy in Women with Diabetes in Pregnancy: Patients' Perspective.

Barriers of Adherence and Possible Solutions to Nonadherence to Antidiabetic Therapy in Women with Diabetes in Pregnancy: Patients' Perspective.

Mukona, Doreen;Munjanja, Stephen Peter;Zvinavashe, Mathilda;Stray-Pederson, Babil;
journal of diabetes research 2017 Vol. 2017 pp. 3578075
191
mukona2017barriersjournal

Abstract

Diabetes in pregnancy contributes to maternal mortality and morbidity though it receives little attention in developing countries. The purpose of the study was to explore the barriers to adherence and possible solutions to nonadherence to antidiabetic therapy in women with diabetes in pregnancy. Antidiabetic therapy referred to diet, physical activity, and medications. Four focus group discussions (FGDs), each with 7 participants, were held at a central hospital in Zimbabwe. Included were women with a diagnosis of diabetes in pregnancy, aged 18 to 49 years, and able to speak Shona or English. Approval was obtained from respective ethical review boards. FGDs followed a semistructured questionnaire. Detailed notes were taken during the interviews which were also being audiotaped. Data were analysed thematically and manually. Themes identified were barriers and possible solutions to nonadherence to therapy. Barriers were poor socioeconomic status, lack of family, peer and community support, effects of pregnancy, complicated therapeutic regimen, pathophysiology of diabetes, cultural and religious beliefs, and poor health care system. Possible solutions were fostering social support, financial support, and improvement of hospital services. Individualised care of women with diabetes is essential, and barriers and possible solutions identified can be utilised to improve care.

Citation

ID: 109371
Ref Key: mukona2017barriersjournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
109371
Unique Identifier:
10.1155/2017/3578075
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet