Methods to measure effects of social accountability interventions in reproductive, maternal, newborn, child, and adolesc
- PDF / 895,558 Bytes
- 25 Pages / 595.276 x 790.866 pts Page_size
- 74 Downloads / 185 Views
(2020) 39:13
REVIEW ARTICLE
Open Access
Methods to measure effects of social accountability interventions in reproductive, maternal, newborn, child, and adolescent health programs: systematic review and critique Cicely Marston1* , Catherine R. McGowan1, Victoria Boydell2 and Petrus Steyn3
Abstract Background: There is no agreed way to measure the effects of social accountability interventions. Studies to examine whether and how social accountability and collective action processes contribute to better health and healthcare services are underway in different areas of health, and health effects are captured using a range of different research designs. Objectives: The objective of our review is to help inform evaluation efforts by identifying, summarizing, and critically appraising study designs used to assess and measure social accountability interventions' effects on health, including data collection methods and outcome measures. Specifically, we consider the designs used to assess social accountability interventions for reproductive, maternal, newborn, child, and adolescent health (RMNCAH). Data sources: Data were obtained from the Cochrane Library, EMBASE, MEDLINE, SCOPUS, and Social Policy & Practice databases. Eligibility criteria: We included papers published on or after 1 January 2009 that described an evaluation of the effects of a social accountability intervention on RMNCAH. (Continued on next page)
* Correspondence: [email protected] 1 DEPTH Research Group, Department of Public Health, Environments & Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Marston et al. Journal of Health, Population and Nutrition
(2020) 39:13
Page 2 of 25
(Continued from previous page)
Results: Twenty-two papers met our inclusion criteria. Methods for assessing or reporting health effects of s
Data Loading...
