eRegMat – a digital registry for improved quality of antenatal care: a cluster-randomized trial in a rural area in Bangladesh

Author:

Venkateswaran Mahima,Pervin Jesmin,Dolphyne Akuba,Friberg Ingrid K.,Fjeldheim Ingvild,Frøen J. Frederik,Khatun Fatema,O’Donnell Brian,Rahman Monjur,Rahman A. M. Quaiyum,Nu U Tin,Rose Christopher James,Sarker Bidhan Krishna,Rahman Anisur

Abstract

Abstract Introduction Longitudinal client tracking systems with digital health interventions are recommended for implementation in resource-limited settings but lack evidence of benefits, harms, and implementation. In the eRegMat cluster-randomized controlled trial, we aimed to assess the effectiveness of an eRegistry versus an unshared digital client record. Methods Fifty-nine primary health care facilities in Matlab, Bangladesh were randomized with a 1:1 allocation ratio to receive an eRegistry (intervention, 30 health facilities) with decision support, feedback dashboards and targeted client communication, or an unshared digital client record without digital health interventions (control, 29 health facilities). We assessed timely antenatal care attendance, quality of care, and health outcomes. Outcome data were captured in the eRegistry, or unshared digital client record used by health workers, and through a postpartum household survey. We estimated adjusted relative risks (ARRs) following the intention-to-treat principle and adjusted for cluster randomization. Results From October 2018 to June 2020, 3023 pregnant women were enrolled in the intervention and 2746 in the control groups through community and facility registrations. Intervention and control groups did not differ for the primary outcomes: timely attendance at eligible antenatal care visits (42.5% vs. 40.3%, ARR 0.96, 95% CI 0.89–1.05, p-value 0.4) and hypertension screening and management (95.1% vs. 94.7%, ARR 1.00, 95% CI 0.96–1.03, p-value 0.8). The secondary outcome of perinatal mortality and severe perinatal morbidities was lower in the intervention (14.6%) compared to the control group (15%) (ARR 0.74, 95% CI 0.58–0.96, p-value 0.02), with the change mostly attributed to morbidity outcomes. Conclusion Due to technical and implementation challenges we were unable to estimate the effect of the intervention with sufficient precision. Challenges included delays in rollout of the digital health interventions and outcome data collection, existence of parallel documentation systems on paper and digital and the COVID-19 pandemic. Given these methodological constraints, we are unable to draw definitive interpretations of trial results. Trial registration ISRCTN Registry ISRCTN69491836; https://www.isrctn.com/ISRCTN69491836. Date of registration 06.12.2018.

Funder

Norges Forskningsråd

Centre for Intervention Science in Maternal and Child Health, University of Bergen

Publisher

Springer Science and Business Media LLC

Reference36 articles.

1. The Global Strategy for Women's, Children's and adolescents' health (2016–2030): Survive, Thrive, Transform. New York: Every Woman Every Child. 2015. Available from: https://data.unicef.org/resources/global-strategy-womens-childrens-adolescents-health/. Accessed July 2023.

2. Kuruvilla S, Bustreo F, Kuo T, Mishra CK, Taylor K, Fogstad H, et al. The Global strategy for women’s, children’s and adolescents’ health (2016–2030): a roadmap based on evidence and country experience. Bull World Health Organ. 2016;94(5):398–400.

3. What is Quality of Care and why is it important? Maternal, newborn, child and adolescent health, Topics at a glance, World Health Organization. 2019. Available from: https://www.who.int/maternal_child_adoles2019cent/topics/quality-of-care/definition/en/. Accessed July 2023.

4. Puchalski Ritchie LM, Khan S, Moore JE, Timmings C, van Lettow M, Vogel JP, et al. Low- and middle-income countries face many common barriers to implementation of maternal health evidence products. J Clin Epidemiol. 2016;76:229–37.

5. Agweyu A, Hill K, Diaz T, Jackson D, Hailu BG, Muzigaba M. Regular measurement is essential but insufficient to improve quality of healthcare. BMJ. 2023;380:e073412.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3