Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d’Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020
BackgroundThe Ministry of Health in Côte d'Ivoire and the International Training and Education Center for Health at the University of Washington, funded by the United States President’s Emergency Plan for AIDS Relief, have been collaborating to develop and implement the...
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JMIR Publications
2024-03-01
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Series: | JMIR Public Health and Surveillance |
Online Access: | https://publichealth.jmir.org/2024/1/e50407 |
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author | Yao He Yves-Rolland Kouabenan Paul Henri Assoa Nancy Puttkammer Bradley H Wagenaar Hong Xiao Stephen Gloyd Noah G Hoffman Pascal Komena N'zi Pierre Fourier Kamelan Casey Iiams-Hauser Adama Sanogo Pongathie Alain Kouakou Jan Flowers Nadine Abiola Natacha Kohemun Jean-Bernard Amani Christiane Adje-Toure Lucy A Perrone |
author_facet | Yao He Yves-Rolland Kouabenan Paul Henri Assoa Nancy Puttkammer Bradley H Wagenaar Hong Xiao Stephen Gloyd Noah G Hoffman Pascal Komena N'zi Pierre Fourier Kamelan Casey Iiams-Hauser Adama Sanogo Pongathie Alain Kouakou Jan Flowers Nadine Abiola Natacha Kohemun Jean-Bernard Amani Christiane Adje-Toure Lucy A Perrone |
author_sort | Yao He |
collection | DOAJ |
description |
BackgroundThe Ministry of Health in Côte d'Ivoire and the International Training and Education Center for Health at the University of Washington, funded by the United States President’s Emergency Plan for AIDS Relief, have been collaborating to develop and implement the Open-Source Enterprise-Level Laboratory Information System (OpenELIS). The system is designed to improve HIV-related laboratory data management and strengthen quality management and capacity at clinical laboratories across the nation.
ObjectiveThis evaluation aimed to quantify the effects of implementing OpenELIS on data quality for laboratory tests related to HIV care and treatment.
MethodsThis evaluation used a quasi-experimental design to perform an interrupted time-series analysis to estimate the changes in the level and slope of 3 data quality indicators (timeliness, completeness, and validity) after OpenELIS implementation. We collected paper and electronic records on clusters of differentiation 4 (CD4) testing for 48 weeks before OpenELIS adoption until 72 weeks after. Data collection took place at 21 laboratories in 13 health regions that started using OpenELIS between 2014 and 2020. We analyzed the data at the laboratory level. We estimated odds ratios (ORs) by comparing the observed outcomes with modeled counterfactual ones when the laboratories did not adopt OpenELIS.
ResultsThere was an immediate 5-fold increase in timeliness (OR 5.27, 95% CI 4.33-6.41; P<.001) and an immediate 3.6-fold increase in completeness (OR 3.59, 95% CI 2.40-5.37; P<.001). These immediate improvements were observed starting after OpenELIS installation and then maintained until 72 weeks after OpenELIS adoption. The weekly improvement in the postimplementation trend of completeness was significant (OR 1.03, 95% CI 1.02-1.05; P<.001). The improvement in validity was not statistically significant (OR 1.34, 95% CI 0.69-2.60; P=.38), but validity did not fall below pre-OpenELIS levels.
ConclusionsThese results demonstrate the value of electronic laboratory information systems in improving laboratory data quality and supporting evidence-based decision-making in health care. These findings highlight the importance of OpenELIS in Côte d'Ivoire and the potential for adoption in other low- and middle-income countries with similar health systems. |
first_indexed | 2024-04-24T21:50:33Z |
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issn | 2369-2960 |
language | English |
last_indexed | 2024-04-24T21:50:33Z |
publishDate | 2024-03-01 |
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spelling | doaj.art-dcc2569202aa4ce188374fe046ef06ab2024-03-20T14:45:32ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602024-03-0110e5040710.2196/50407Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d’Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020Yao Hehttps://orcid.org/0000-0003-0023-5515Yves-Rolland Kouabenanhttps://orcid.org/0000-0003-4214-2616Paul Henri Assoahttps://orcid.org/0000-0002-7830-7948Nancy Puttkammerhttps://orcid.org/0000-0002-6693-9278Bradley H Wagenaarhttps://orcid.org/0000-0002-3351-7175Hong Xiaohttps://orcid.org/0000-0002-5113-2367Stephen Gloydhttps://orcid.org/0000-0001-7017-8750Noah G Hoffmanhttps://orcid.org/0000-0001-6791-7727Pascal Komenahttps://orcid.org/0000-0003-1812-1217N'zi Pierre Fourier Kamelanhttps://orcid.org/0009-0004-6606-272XCasey Iiams-Hauserhttps://orcid.org/0000-0001-9214-6856Adama Sanogo Pongathiehttps://orcid.org/0000-0002-4063-6236Alain Kouakouhttps://orcid.org/0000-0001-8673-4694Jan Flowershttps://orcid.org/0000-0001-5076-8569Nadine Abiolahttps://orcid.org/0000-0002-3345-2383Natacha Kohemunhttps://orcid.org/0009-0005-9709-4246Jean-Bernard Amanihttps://orcid.org/0000-0002-3715-8659Christiane Adje-Tourehttps://orcid.org/0000-0002-0745-6313Lucy A Perronehttps://orcid.org/0000-0003-2185-688X BackgroundThe Ministry of Health in Côte d'Ivoire and the International Training and Education Center for Health at the University of Washington, funded by the United States President’s Emergency Plan for AIDS Relief, have been collaborating to develop and implement the Open-Source Enterprise-Level Laboratory Information System (OpenELIS). The system is designed to improve HIV-related laboratory data management and strengthen quality management and capacity at clinical laboratories across the nation. ObjectiveThis evaluation aimed to quantify the effects of implementing OpenELIS on data quality for laboratory tests related to HIV care and treatment. MethodsThis evaluation used a quasi-experimental design to perform an interrupted time-series analysis to estimate the changes in the level and slope of 3 data quality indicators (timeliness, completeness, and validity) after OpenELIS implementation. We collected paper and electronic records on clusters of differentiation 4 (CD4) testing for 48 weeks before OpenELIS adoption until 72 weeks after. Data collection took place at 21 laboratories in 13 health regions that started using OpenELIS between 2014 and 2020. We analyzed the data at the laboratory level. We estimated odds ratios (ORs) by comparing the observed outcomes with modeled counterfactual ones when the laboratories did not adopt OpenELIS. ResultsThere was an immediate 5-fold increase in timeliness (OR 5.27, 95% CI 4.33-6.41; P<.001) and an immediate 3.6-fold increase in completeness (OR 3.59, 95% CI 2.40-5.37; P<.001). These immediate improvements were observed starting after OpenELIS installation and then maintained until 72 weeks after OpenELIS adoption. The weekly improvement in the postimplementation trend of completeness was significant (OR 1.03, 95% CI 1.02-1.05; P<.001). The improvement in validity was not statistically significant (OR 1.34, 95% CI 0.69-2.60; P=.38), but validity did not fall below pre-OpenELIS levels. ConclusionsThese results demonstrate the value of electronic laboratory information systems in improving laboratory data quality and supporting evidence-based decision-making in health care. These findings highlight the importance of OpenELIS in Côte d'Ivoire and the potential for adoption in other low- and middle-income countries with similar health systems.https://publichealth.jmir.org/2024/1/e50407 |
spellingShingle | Yao He Yves-Rolland Kouabenan Paul Henri Assoa Nancy Puttkammer Bradley H Wagenaar Hong Xiao Stephen Gloyd Noah G Hoffman Pascal Komena N'zi Pierre Fourier Kamelan Casey Iiams-Hauser Adama Sanogo Pongathie Alain Kouakou Jan Flowers Nadine Abiola Natacha Kohemun Jean-Bernard Amani Christiane Adje-Toure Lucy A Perrone Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d’Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020 JMIR Public Health and Surveillance |
title | Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d’Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020 |
title_full | Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d’Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020 |
title_fullStr | Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d’Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020 |
title_full_unstemmed | Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d’Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020 |
title_short | Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d’Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020 |
title_sort | laboratory data timeliness and completeness improves following implementation of an electronic laboratory information system in cote d ivoire quasi experimental study on 21 clinical laboratories from 2014 to 2020 |
url | https://publichealth.jmir.org/2024/1/e50407 |
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