Literature DB >> 23177899

Cochrane systematic reviews are useful to map research gaps for decreasing maternal mortality.

Evelina Chapman1, Ludovic Reveiz, Amy Chambliss, Stephanie Sangalang, Xavier Bonfill.   

Abstract

OBJECTIVES: To use an "evidence-mapping" approach to assess the usefulness of Cochrane reviews in identifying research gaps in the maternal health. STUDY DESIGN AND
SETTING: The article describes the general mapping, prioritizing, reconciling, and updating approach: (1) identifying gaps in the maternal health research using published systematic reviews and formulating research questions, (2) prioritizing questions using Delphi method, (3) reconciling identified research priorities with the existing literature (i.e., searching of ongoing trials in trials registries), (4) updating the process. A comprehensive search of Cochrane systematic reviews published or updated from January 2006 to March 2011 was performed. We evaluated the "Implications for Research" section to identify gaps in the research.
RESULTS: Our search strategy identified 695 references; 178 systematic reviews identifying at least one research gap were used. We formulated 319 research questions, which were classified into 11 different categories based on the direct and indirect causes of maternal mortality: postpartum hemorrhage, abortion, hypertensive disorders, infection/sepsis, caesarean section, diabetes, pregnancy prevention, preterm labor, other direct causes, indirect causes, and health policies and systems. Most research questions concerned the effectiveness of clinical interventions, including drugs (42.6%), nonpharmacologic interventions (16.3%), and health system (14.7%).
CONCLUSION: It is possible to identify gaps in the maternal health research by using this approach.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23177899     DOI: 10.1016/j.jclinepi.2012.09.005

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  6 in total

Review 1.  Characteristics of randomized trials published in Latin America and the Caribbean according to funding source.

Authors:  Ludovic Reveiz; Stephanie Sangalang; Demian Glujovsky; Carlos E Pinzon; Claudia Asenjo Lobos; Marcela Cortes; Martin Cañón; Ariel Bardach; Xavier Bonfill
Journal:  PLoS One       Date:  2013-02-13       Impact factor: 3.240

Review 2.  Alignment of systematic reviews published in the Cochrane Database of Systematic Reviews and the Database of Abstracts and Reviews of Effectiveness with global burden-of-disease data: a bibliographic analysis.

Authors:  Sze Lin Yoong; Alix Hall; Christopher M Williams; Eliza Skelton; Christopher Oldmeadow; John Wiggers; Chante Karimkhani; Lindsay N Boyers; Robert P Dellavalle; John Hilton; Luke Wolfenden
Journal:  J Epidemiol Community Health       Date:  2015-04-17       Impact factor: 3.710

Review 3.  What is an evidence map? A systematic review of published evidence maps and their definitions, methods, and products.

Authors:  Isomi M Miake-Lye; Susanne Hempel; Roberta Shanman; Paul G Shekelle
Journal:  Syst Rev       Date:  2016-02-10

4.  Creating a literature database of low-calorie sweeteners and health studies: evidence mapping.

Authors:  Ding Ding Wang; Marissa Shams-White; Oliver John M Bright; J Scott Parrott; Mei Chung
Journal:  BMC Med Res Methodol       Date:  2016-01-05       Impact factor: 4.615

Review 5.  Approaches to prioritising primary health research: a scoping review.

Authors:  Racha Fadlallah; Najla Daher; Amena El-Harakeh; Rima Hammam; Hneine Brax; Lama Bou Karroum; Luciane Cruz Lopes; Ghida Arnous; Inas Kassamany; Stephanie Baltayan; Aya Harb; Tamara Lotfi; Fadi El-Jardali; Elie A Akl
Journal:  BMJ Glob Health       Date:  2022-05

6.  Development of a Publicly Available, Comprehensive Database of Fiber and Health Outcomes: Rationale and Methods.

Authors:  Kara A Livingston; Mei Chung; Caleigh M Sawicki; Barbara J Lyle; Ding Ding Wang; Susan B Roberts; Nicola M McKeown
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

  6 in total

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