Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/6587
Title: Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries
Authors: Ngugi, Philomena
Babic, Ankica
Kariuki, James
Santas, Xenophon
Naanyu, Violet
Were, Martin C
Keywords: Standard indicators
Electronic health record systems
Issue Date: 11-Jan-2021
Publisher: PLOS ONE
Abstract: Background Electronic Health Record Systems (EHRs) are being rolled out nationally in many low- and middle-income countries (LMICs) yet assessing actual system usage remains a challenge. We employed a nominal group technique (NGT) process to systematically develop high quality indicators for evaluating actual usage of EHRs in LMICs. Methods An initial set of 14 candidate indicators were developed by the study team adapting the Human Immunodeficiency Virus (HIV) Monitoring, Evaluation, and Reporting indicators for mat. A multidisciplinary team of 10 experts was convened in a two-day NGT workshop in Kenya to systematically evaluate, rate (using Specific, Measurable, Achievable, Relevant, and Time-Bound (SMART) criteria), prioritize, refine, and identify new indicators. NGT steps included introduction to candidate indicators, silent indicator ranking, round-robin indicator rating, and silent generation of new indicators. 5-point Likert scale was used in rating the candidate indicators against the SMART components. Results Candidate indicators were rated highly on SMART criteria (4.05/5). NGT participants settled on 15 final indicators, categorized as system use (4); data quality (3), system interoperability (3), and reporting (5). Data entry statistics, systems uptime, and EHRs variable concor dance indicators were rated highest. Conclusion This study describes a systematic approach to develop and validate quality indicators for determining EHRs use and provides LMICs with a multidimensional tool for assessing suc cess of EHRs implementations.
URI: http://ir.mu.ac.ke:8080/jspui/handle/123456789/6587
Appears in Collections:School of Medicine

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