Table 2.

Characteristics of included EHR studies (n = 13).

Reference	EMR	Condition	Participants type	Participants #	Study design	Outcome measure	Finding
Seboka et al.77	Information system for managing diabetes	Diabetes	Healthcare professionals	406	Cross-sectional	Willingness, attitude,	64% had a favorable attitude to remotely monitor diabetes patients,74% willing to use voice calls.
Berihun et al.78	EMR in health facilities	HIV	Healthcare professionals	616	Cross-sectional	Willingness	86% willing to use EMR
Ahmed et al.79	EMR in health facilities	–	Healthcare professionals	420	Cross-sectional	Willingness iIntention	40% intention to use EMR
Kebede et al.80	HMIS in health facilities	–	Healthcare professionals	332	Cross-sectional	Quality	48% accuracy and 82% completeness of data; below national standards
Awol et al.81	EMR in health facilities	–	Healthcare professionals	414	Cross-sectional	Willingness— readiness	62% ready to use EMR system
Zeleke et al.82	Electronic data capture (EDC)- tablet	–	Interviewers	12	RCT	Quality of data	Better data quality and efficiency with EDC than standard paper-based data
Abiy et al.83	EMR at ART clinic	HIV	Patients on HIV care	250	Cross-sectional, comparative	Quality— completeness, reliability	Slightly lower (76%) data completeness in EMR, than paper-based (78%)
Bramo et al.84	Electronic information sourse (EIS)	HIV/AIDS Care and Treatment	Healthcare professionals	352	Cross-sectional	Usability—utilization	67% not used EIS for not having training, prefer print resource
Dusabe-Richards et al.85	HMIS	TB	Healthcare professionals	90	Cross-sectional	Feasibility	HMIS is usable, but with gaps in quality, accuracy, reliability, timeliness of data
Samuel et al.86	Electronic Information Sources (EIS)	–	Healthcare professionals	590	Cross-sectional	Usability, access	42% used EIS, affected by computer literacy, access to internet
Tilahun et al.87	SmartCard	–	Healthcare professionals	406	Cross-sectional	Usability—user satisfaction,	61% dissatisfied with the EMR; 64% believed EMR had less quality impact
Biruk et al.80	EMR		Healthcare professionals	606	Cross-sectional	Willingness—readiness	54% ready to use EMR
King et al.89	Android-based data collection	Neglected tropical diseases	Community members (households)	40	cross-sectional, comparative	Feasibility, effectiveness	Suitable, accurate, and save time over standard paper-based survey questionnaires

EDC electronic data capture, EIS electronic information source, EMR electronic medical records, HMIS health management information systems, RCT randomized controlled trial.