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A multivariate statistical evaluation of actual use of electronic health record systems implementations in Kenya

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  • Philomena Ngugi
  • Ankica Babic
  • Martin C Were

Abstract

Background: Health facilities in developing countries are increasingly adopting Electronic Health Records systems (EHRs) to support healthcare processes. However, only limited studies are available that assess the actual use of the EHRs once adopted in these settings. We assessed the state of the 376 KenyaEMR system (national EHRs) implementations in healthcare facilities offering HIV services in Kenya. Methods: The study focused on seven EHRs use indicators. Six of the seven indicators were programmed and packaged into a query script for execution within each KenyaEMR system (KeEMRs) implementation to collect monthly server-log data for each indicator for the period 2012–2019. The indicators included: Staff system use, observations (clinical data volume), data exchange, standardized terminologies, patient identification, and automatic reports. The seventh indicator (EHR variable Completeness) was derived from routine data quality report within the EHRs. Data were analysed using descriptive statistics, and multiple linear regression analysis was used to examine how individual facility characteristics affected the use of the system. Results: 213 facilities spanning 19 counties participated in the study. The mean number of authorized users who actively used the KeEMRs was 18.1% (SD = 13.1%, p

Suggested Citation

  • Philomena Ngugi & Ankica Babic & Martin C Were, 2021. "A multivariate statistical evaluation of actual use of electronic health record systems implementations in Kenya," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-14, September.
    • Handle: RePEc:plo:pone00:0256799
    DOI: 10.1371/journal.pone.0256799
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