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Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries

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 evalua...

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Autores principales: Ngugi, Philomena, Babic, Ankica, Kariuki, James, Santas, Xenophon, Naanyu, Violet, Were, Martin C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799790/
https://www.ncbi.nlm.nih.gov/pubmed/33428656
http://dx.doi.org/10.1371/journal.pone.0244917
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author Ngugi, Philomena
Babic, Ankica
Kariuki, James
Santas, Xenophon
Naanyu, Violet
Were, Martin C.
author_facet Ngugi, Philomena
Babic, Ankica
Kariuki, James
Santas, Xenophon
Naanyu, Violet
Were, Martin C.
author_sort Ngugi, Philomena
collection PubMed
description 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 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. 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 concordance 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 success of EHRs implementations.
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spelling pubmed-77997902021-01-22 Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries Ngugi, Philomena Babic, Ankica Kariuki, James Santas, Xenophon Naanyu, Violet Were, Martin C. PLoS One Research Article 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 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. 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 concordance 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 success of EHRs implementations. Public Library of Science 2021-01-11 /pmc/articles/PMC7799790/ /pubmed/33428656 http://dx.doi.org/10.1371/journal.pone.0244917 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Ngugi, Philomena
Babic, Ankica
Kariuki, James
Santas, Xenophon
Naanyu, Violet
Were, Martin C.
Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799790/
https://www.ncbi.nlm.nih.gov/pubmed/33428656
http://dx.doi.org/10.1371/journal.pone.0244917
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