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Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis.
Ming, Wai-Kit; Mackillop, Lucy H; Farmer, Andrew J; Loerup, Lise; Bartlett, Katy; Levy, Jonathan C; Tarassenko, Lionel; Velardo, Carmelo; Kenworthy, Yvonne; Hirst, Jane E.
Afiliação
  • Ming WK; Nuffield Department of Obstetrics & Gynaecology, John Radcliffe Hospital, Oxford, United Kingdom.
  • Mackillop LH; Department of Obstetrics & Gynaecology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Farmer AJ; Women's Centre, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.
  • Loerup L; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
  • Bartlett K; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Levy JC; Women's Centre, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.
  • Tarassenko L; The Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.
  • Velardo C; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Kenworthy Y; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Hirst JE; Nuffield Department of Obstetrics & Gynaecology, John Radcliffe Hospital, Oxford, United Kingdom.
J Med Internet Res ; 18(11): e290, 2016 11 09.
Article em En | MEDLINE | ID: mdl-27829574
ABSTRACT

BACKGROUND:

Diabetes in pregnancy is a global problem. Technological innovations present exciting opportunities for novel approaches to improve clinical care delivery for gestational and other forms of diabetes in pregnancy.

OBJECTIVE:

To perform an updated and comprehensive systematic review and meta-analysis of the literature to determine whether telemedicine solutions offer any advantages compared with the standard care for women with diabetes in pregnancy.

METHODS:

The review was developed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Randomized controlled trials (RCT) in women with diabetes in pregnancy that compared telemedicine blood glucose monitoring with the standard care were identified. Searches were performed in SCOPUS and PubMed, limited to English language publications between January 2000 and January 2016. Trials that met the eligibility criteria were scored for risk of bias using the Cochrane Collaborations Risk of Bias Tool. A meta-analysis was performed using Review Manager software version 5.3 (Nordic Cochrane Centre, Cochrane Collaboration).

RESULTS:

A total of 7 trials were identified. Meta-analysis demonstrated a modest but statistically significant improvement in HbA1c associated with the use of a telemedicine technology. The mean HbA1c of women using telemedicine was 5.33% (SD 0.70) compared with 5.45% (SD 0.58) in the standard care group, representing a mean difference of -0.12% (95% CI -0.23% to -0.02%). When this comparison was limited to women with gestational diabetes mellitus (GDM) only, the mean HbA1c of women using telemedicine was 5.22% (SD 0.70) compared with 5.37% (SD 0.61) in the standard care group, mean difference -0.14% (95% CI -0.25% to -0.04%). There were no differences in other maternal and neonatal outcomes reported.

CONCLUSIONS:

There is currently insufficient evidence that telemedicine technology is superior to standard care for women with diabetes in pregnancy; however, there was no evidence of harm. No trials were identified that assessed patient satisfaction or cost of care delivery, and it may be in these areas where these technologies may be found most valuable.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Gestacional / Telemedicina Tipo de estudo: Clinical_trials / Prognostic_studies / Systematic_reviews Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Gestacional / Telemedicina Tipo de estudo: Clinical_trials / Prognostic_studies / Systematic_reviews Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2016 Tipo de documento: Article