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eRegTime, Efficiency of Health Information Management Using an Electronic Registry for Maternal and Child Health:
Marie Hella Lindberg1, Mahima Venkateswaran2,3, Khadija Abu Khader4
1Faculty of Health Sciences, UiT - the Arctic University of Norway, Tromsø, Norway.
JMIR Research Protocols
|August 9, 2019
Summary
The eRegistry system shows potential for improving health information management efficiency in primary care settings. Further research will assess its impact on care provider workload and clinical efficiency.
Area of Science:
- Health Informatics
- Public Health
- Health Services Research
Background:
- Routine health information systems often rely on paper, leading to repetitive data entry and significant time investment by care providers.
- In the West Bank, a paper-based system for maternal and child health necessitated extensive time spent on managing multiple files and registers.
- The implementation of an electronic registry (eRegistry) for maternal and child health aims to streamline data entry and support digital health interventions.
Purpose of the Study:
- To investigate the impact of an electronic registry (eRegistry) on the time-efficiency of health information management for care providers.
- To compare the time spent on health information management between paper-based systems and the new eRegistry.
Main Methods:
- A time-motion observational study design was employed as a substudy within a cluster randomized controlled trial (eRegQual study).
- Full workdays of care providers were observed in 24 primary health care clinics (12 using eRegistry, 12 using paper).
- Linear mixed effects models will be used to compare the time spent on health information management per client per care provider.
Main Results:
- The eRegTime study's results will contribute to the process evaluation of the larger eRegQual study, which assesses the eRegistry's effectiveness in improving antenatal care quality.
- While specific quantitative results are pending, the study is designed to detect a 25% change in time-efficiency.
Conclusions:
- Electronic health tools are anticipated to reduce care provider workload and enhance clinical work efficiency.
- Successful implementation of electronic health systems necessitates integration with existing workflows and the development of new ones.
- Time-efficiency studies of electronic health information systems are crucial for informing policy decisions in resource-limited settings.
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