eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial
Blom-Bakke, Kjersti Mørkrid; Bungudo, Binyam; Abbas, Eatimad; Abu Khader, Khadija; Abu Ward, Itimad; Attalh, Amjad; Awwad, Tamara; Baniode, Mohammad; Frost, Kimberly; Frost, Michael James; Ghanem, Buthaina; Hijaz, Taghreed; Isbeih, Mervett; Issawi, Sally; Nazzal, Zaher A.S.; O’Donnell, Brian; Qaddomi, Sharif E.; Rabah, Yousef; Venkateswaran, Mahima; Frøen, Jahn Frederik Alexander Claude
Journal article, Peer reviewed
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OriginalversjonTrials. 2021, 22, 47. 10.1186/s13063-020-04980-1
Background This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare providers and Targeted Client Communication (TCC) via short message service (SMS) to clients. The aim is to assess the effectiveness of the automated communication strategies from the eRegistry on improving attendance and quality of care for pregnant women. Methods This four-arm cluster randomized controlled trial will be conducted in the West Bank and the Gaza Strip, Palestine, and includes 138 clusters (primary healthcare clinics) enrolling from 45 to 3000 pregnancies per year. The intervention tools are the QID and the TCC via SMS, automated from the eRegistry built on the District Health Information Software 2 (DHIS2) Tracker. The primary outcomes are appropriate screening and management of anemia, hypertension, and diabetes during pregnancy and timely attendance to antenatal care. Primary analysis, at the individual level taking the design effect of the clustering into account, will be done as intention-to-treat. Discussion This trial, embedded in the implementation of the eRegistry in Palestine, will inform the use of digital health interventions as a health systems strengthening approach.