Journal article
Diabetes in pregnancy among indigenous women in Australia, Canada, New Zealand, and the United States: a method for systematic review of studies with different designs
BMC pregnancy and childbirth, Vol.11(1), 104
2011
PMCID: PMC3260090
PMID: 22196083
Abstract
Background: Diabetes in pregnancy, which includes gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM), is associated with poor outcomes for both mother and infant during pregnancy, at birth and in the longer term. Recent international guidelines recommend changes to the current GDM screening criteria. While some controversy remains, there appears to be consensus that women at high risk of T2DM, including indigenous women, should be offered screening for GDM early in pregnancy, rather than waiting until 24-28 weeks as is current practice. A range of criteria should be considered before changing screening practice in a population sub-group, including: prevalence, current practice, acceptability and whether adequate treatment pathways and follow-up systems are available. There are also specific issues related to screening in pregnancy and indigenous populations. The evidence that these criteria are met for indigenous populations is yet to be reported. A range of study designs can be considered to generate relevant evidence for these issues, including epidemiological, observational, qualitative, and intervention studies, which are not usually included within a single systematic review. The aim of this paper is to describe the methods we used to systematically review studies of different designs and present the evidence in a pragmatic format for policy discussion.
Methods/Design: The inclusion criteria will be broad to ensure inclusion of the critical perspectives of indigenous women. Abstracts of the search results will be reviewed by two persons; the full texts of all potentially eligible papers will be reviewed by one person, and 10% will be checked by a second person for validation. Data extraction will be standardised, using existing tools to identify risks for bias in intervention, measurement, qualitative studies and reviews; and adapting criteria for appraising risk for bias in descriptive studies. External validity (generalisability) will also be appraised. The main findings will be synthesised according to the criteria for population-based screening and summarised in an adapted "GRADE" tool.
Discussion: This will be the first systematic review of all the published literature on diabetes in pregnancy among indigenous women. The method provides a pragmatic approach for synthesizing relevant evidence from a range of study designs to inform the current policy discussion.
Details
- Title
- Diabetes in pregnancy among indigenous women in Australia, Canada, New Zealand, and the United States: a method for systematic review of studies with different designs
- Authors/Creators
- Catherine Chamberlain - Monash UniversityDaniel Yore - Monash UniversityHang Li - Monash UniversityEmily Williams - Monash UniversityBrian Oldenburg - Monash UniversityJeremy Oats - The University of MelbourneBridgette McNamara - Baker Heart and Diabetes InstituteSandra Eades - Baker Heart and Diabetes Institute
- Publication Details
- BMC pregnancy and childbirth, Vol.11(1), 104
- Publisher
- Springer Nature
- Number of pages
- 8
- Grant note
- 09/0003833 / Diabetes UK 457379 / [Australian] National Health and Medical Research Council; National Health and Medical Research Council (NHMRC) of Australia 457379; 607247 / National Health and Medical Research Council; National Health and Medical Research Council (NHMRC) of Australia
- Identifiers
- 991005571152407891
- Copyright
- © 2011 Chamberlain et al.
- Murdoch Affiliation
- Ngangk Yira Institute for Change
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Collaboration types
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.72 Obstetrics & Gynecology
- 1.72.182 Maternal-Fetal Health
- Web Of Science research areas
- Obstetrics & Gynecology
- ESI research areas
- Clinical Medicine