Evidence map›Paper›PMID 42851313›Full record

ArticleFrontiers in endocrinology2026

Experiences and perceived determinants of healthcare-related time toxicity among women with gestational diabetes mellitus: a qualitative study.

Jingru Liu, Wei Xu, Jing Ma, Xueying Shang, Mengmeng Jia, Yanli You

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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jingru LiuDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Wei XuDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Jing MaSchool of Nursing, Henan University of Science and Technology, Luoyang, China.
Xueying ShangDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Mengmeng JiaDepartment of Obstetrics, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Yanli YouDepartment of Nursing, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational diabetes mellitus (GDM) requires women to attend follow-up visits and complete repeated self-management tasks during pregnancy. These tasks include blood glucose monitoring, meal planning, physical activity, health education and medication when needed. They may create a time-related burden in daily life. However, little is known about women's experiences of healthcare-related time toxicity during GDM management. This study aimed to explore women's experiences of healthcare-related time toxicity and the perceived factors shaping these experiences. Methods: A qualitative descriptive study was conducted in the obstetric outpatient clinics of a tertiary teaching hospital in Henan Province, central China. Women with GDM were recruited using purposive sampling. Individual semi-structured interviews were conducted with 13 participants. The interviews were audio-recorded, transcribed verbatim and analysed using qualitative content analysis. Results: Four themes and 13 subthemes were generated from the interview data: (1) GDM added a new timetable to pregnancy; (2) hospital follow-up made time costs visible; (3) work and family roles compressed time for GDM management; and (4) women needed support that reduced time and decision burden. Conclusion: Healthcare-related time toxicity in GDM was experienced as both visible hospital time and hidden daily self-management work. Women's time burden was not produced by GDM tasks alone. The organisation of services, family caregiving, work schedule, and outpatient processes also play a role. There is a need for the nurse, midwife, and/or diabetes educator to be specific and user-friendly in their support, such as providing clear examples of diet, review of blood glucose levels online in a timely fashion, and improved coordination of prenatal, nutrition and blood glucose-related appointments. These changes may decrease unnecessary traveling, waiting, and redundant decision-making, and assist women to incorporate the management of GDM into their daily lives more successfully.

Indexed as

Diabetes, GestationalSelf-ManagementAdultChinaFemaleHumansPregnancyQualitative ResearchTime Factorsantenatal caregestational diabetes mellitusnursing supportqualitative studyself-managementtime toxicity

Identifiers

PMID42851313
PMCPMC13645572

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.