Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries.
<h4>Background</h4>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 in...
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doaj-06e4336c9e894092be1680d4eb0bb2ac2021-05-11T04:30:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01161e024491710.1371/journal.pone.0244917Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries.Philomena NgugiAnkica BabicJames KariukiXenophon SantasViolet NaanyuMartin C Were<h4>Background</h4>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.<h4>Methods</h4>An initial set of 14 candidate indicators were developed by the study team adapting the Human Immunodeficiency Virus (HIV) Monitoring, Evaluation, and Reporting indicators format. 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.<h4>Results</h4>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 concordance indicators were rated highest.<h4>Conclusion</h4>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 success of EHRs implementations.https://doi.org/10.1371/journal.pone.0244917 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Philomena Ngugi Ankica Babic James Kariuki Xenophon Santas Violet Naanyu Martin C Were |
spellingShingle |
Philomena Ngugi Ankica Babic James Kariuki Xenophon Santas Violet Naanyu Martin C Were Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries. PLoS ONE |
author_facet |
Philomena Ngugi Ankica Babic James Kariuki Xenophon Santas Violet Naanyu Martin C Were |
author_sort |
Philomena Ngugi |
title |
Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries. |
title_short |
Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries. |
title_full |
Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries. |
title_fullStr |
Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries. |
title_full_unstemmed |
Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries. |
title_sort |
development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2021-01-01 |
description |
<h4>Background</h4>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.<h4>Methods</h4>An initial set of 14 candidate indicators were developed by the study team adapting the Human Immunodeficiency Virus (HIV) Monitoring, Evaluation, and Reporting indicators format. 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.<h4>Results</h4>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 concordance indicators were rated highest.<h4>Conclusion</h4>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 success of EHRs implementations. |
url |
https://doi.org/10.1371/journal.pone.0244917 |
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