Your browser doesn't support javascript.
M♡THer, an mHealth System to Support Women with Gestational Diabetes Mellitus: Feasibility and Acceptability Study.
Varnfield, Marlien; Redd, Christian; Stoney, Rachel M; Higgins, Liesel; Scolari, Naomi; Warwick, Roisine; Iedema, Joel; Rundle, Jane; Dutton, Wendy.
  • Varnfield M; The Australian e-Health Research Centre, CSIRO, Brisbane, Australia.
  • Redd C; The Australian e-Health Research Centre, CSIRO, Brisbane, Australia.
  • Stoney RM; Nutrition and Dietetics Department, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia.
  • Higgins L; The Australian e-Health Research Centre, CSIRO, Brisbane, Australia.
  • Scolari N; Nutrition and Dietetics Department, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia.
  • Warwick R; Chronic Disease Service, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia.
  • Iedema J; Department of Medicine, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia.
  • Rundle J; School of Medicine, The University of Queensland, Brisbane, Australia.
  • Dutton W; Women and Birthing Services, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia.
Diabetes Technol Ther ; 23(5): 358-366, 2021 05.
Article in English | MEDLINE | ID: covidwho-1217792
Semantic information from SemMedBD (by NLM)
1. COVID-19 CAUSES Obstetrics service
Subject
COVID-19
Predicate
CAUSES
Object
Obstetrics service
2. Mobile Health TREATS Chronic disease
Subject
Mobile Health
Predicate
TREATS
Object
Chronic disease
3. Cohort LOCATION_OF CD69 protei
Subject
Cohort
Predicate
LOCATION_OF
Object
CD69 protei
4. Gestational Diabetes PROCESS_OF Woman
Subject
Gestational Diabetes
Predicate
PROCESS_OF
Object
Woman
5. COVID-19 CAUSES Obstetrics service
Subject
COVID-19
Predicate
CAUSES
Object
Obstetrics service
6. Mobile Health TREATS Chronic disease
Subject
Mobile Health
Predicate
TREATS
Object
Chronic disease
7. Cohort LOCATION_OF CD69 protein, human|CD69
Subject
Cohort
Predicate
LOCATION_OF
Object
CD69 protein, human|CD69
8. Gestational Diabetes PROCESS_OF Woman
Subject
Gestational Diabetes
Predicate
PROCESS_OF
Object
Woman
ABSTRACT

Background:

Gestational diabetes mellitus (GDM) is defined as glucose intolerance first identified during pregnancy. Delays in diagnosis and challenges in management can lead to serious adverse outcomes for the mother and child. As rates of GDM diagnosis increase worldwide, health systems and maternity services have become increasingly strained, especially with new restrictions around in-person care due to the current COVID-19 pandemic. Mobile health (mHealth) has increasingly shown promise for management of chronic disease, driven by smartphone adoption and increased internet connectivity. The aim of this work was to evaluate the adoption and multidisciplinary care coordination of an mHealth platform called M♡THer in a cohort of women with first-time diagnosis of GDM.

Methods:

The mHealth platform for GDM management was developed incorporating a smartphone application, clinician portal, and secure cloud data storage. Forty participants with a first-time diagnosis of GDM were recruited to use the app during their pregnancy. User attitudes from clinicians and women were captured through post-hoc surveys, and app-usage metrics.

Results:

Clinicians and women indicated satisfaction and ease of use of the mHealth platform, with some technological challenges around wireless connectivity. Blood glucose reviews and antenatal contact were higher with use of the M♡THer app compared with a matched historical sample.

Conclusion:

The M♡THer mHealth platform is a new comprehensive tool for health care of women with GDM, and may provide an effective new avenue to enhance multidisciplinary care in the face of COVID-19 disruptions and challenges to traditional care pathways.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Women's Health / Diabetes, Gestational / Telemedicine / Pandemics / Mobile Applications / COVID-19 Type of study: Etiology study / Clinical Practice Guide / Incidence study / Observational study / Prognostic study / Risk factors Limits: Adult / Female / Humans / Pregnancy / Young adult Language: English Journal: Diabetes Technol Ther Journal subject: Endocrinology / Therapeutics Year: 2021 Document Type: Article Affiliation country: Dia.2020.0509

Full text: Available Collection: International databases Database: MEDLINE Main subject: Women's Health / Diabetes, Gestational / Telemedicine / Pandemics / Mobile Applications / COVID-19 Type of study: Etiology study / Clinical Practice Guide / Incidence study / Observational study / Prognostic study / Risk factors Limits: Adult / Female / Humans / Pregnancy / Young adult Language: English Journal: Diabetes Technol Ther Journal subject: Endocrinology / Therapeutics Year: 2021 Document Type: Article Affiliation country: Dia.2020.0509