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Adoption of Electronic Medical Records Among Health Workers in Selected Public Health Facilities in Banaadir, Somalia

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  • Iqro Adam Ahmed

    (Kenyatta University)

  • Dr. Peter Kithuka

    (Kenyatta University)

  • Dr. Joyce Kirui

    (Kenyatta University)

Abstract

Background Electronic Medical Records (EMRs) have emerged as vital tools for enhancing the quality and coordination of healthcare services worldwide. By providing convenient access to patient history, reducing medical errors, and streamlining workflow, these digital systems can significantly improve overall patient outcomes. However, in many developing countries—including Somalia—adoption of EMRs remains slow and inconsistent. Specifically, public health facilities in regions like Banaadir continue to face structural, technical, and organizational barriers that inhibit the rapid and widespread utilization of these technologies. Objectives The broad objective of this study was to assess the level of adoption of EMRs among health workers in selected public health facilities in Banaadir. The specific objectives of the study were: To determine the socio-demographic characteristics, technological factors and health system factors associated with adoption of EMRs. Methodology A descriptive cross-sectional research design was adopted to provide a snapshot of EMR use in selected Banaadir public hospitals. The study population comprised doctors, nurses, laboratory technicians, and administrative staff who regularly handle patient records. A sample of 150 respondents was drawn using stratified random sampling to ensure representation from each professional cadre. Quantitative data was collected through structured questionnaires. Descriptive statistics were used to determine frequencies, means, and standard deviations. As for inferential statistics, χ2 test was used to determine the association between independent variables and EMR adoption.

Suggested Citation

  • Iqro Adam Ahmed & Dr. Peter Kithuka & Dr. Joyce Kirui, 2025. "Adoption of Electronic Medical Records Among Health Workers in Selected Public Health Facilities in Banaadir, Somalia," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(15), pages 757-780, April.
    • Handle: RePEc:bjc:journl:v:12:y:2025:i:15:p:757-780
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    References listed on IDEAS

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    1. Amina Almarzouqi & Ahmad Aburayya & Said A Salloum, 2022. "Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-29, August.
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