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Performance evaluation of a multinational data platform for critical care in Asia
Background: The value of medical registries strongly depends on the quality of the data collected. This must be objectively measured before large clinical databases can be promoted for observational research, quality improvement, and clinical trials. We aimed to evaluate the quality of a multination...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812332/ https://www.ncbi.nlm.nih.gov/pubmed/35141427 http://dx.doi.org/10.12688/wellcomeopenres.17122.2 |
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author | Pisani, Luigi Rashan, Thalha Shamal, Maryam Ghose, Aniruddha Kumar Tirupakuzhi Vijayaraghavan, Bharath Tripathy, Swagata Aryal, Diptesh Hashmi, Madiha Nor, Basri Lam Minh, Yen Dondorp, Arjen M. Haniffa, Rashan Beane, Abi |
author_facet | Pisani, Luigi Rashan, Thalha Shamal, Maryam Ghose, Aniruddha Kumar Tirupakuzhi Vijayaraghavan, Bharath Tripathy, Swagata Aryal, Diptesh Hashmi, Madiha Nor, Basri Lam Minh, Yen Dondorp, Arjen M. Haniffa, Rashan Beane, Abi |
collection | PubMed |
description | Background: The value of medical registries strongly depends on the quality of the data collected. This must be objectively measured before large clinical databases can be promoted for observational research, quality improvement, and clinical trials. We aimed to evaluate the quality of a multinational intensive care unit (ICU) network of registries of critically ill patients established in seven Asian low- and middle-income countries (LMICs). Methods: The Critical Care Asia federated registry platform enables ICUs to collect clinical, outcome and process data for aggregate and unit-level analysis. The evaluation used the standardised criteria of the Directory of Clinical Databases (DoCDat) and a framework for data quality assurance in medical registries. Six reviewers assessed structure, coverage, reliability and validity of the ICU registry data. Case mix and process measures on patient episodes from June to December 2020 were analysed. Results: Data on 20,507 consecutive patient episodes from 97 ICUs in Afghanistan, Bangladesh, India, Malaysia, Nepal, Pakistan and Vietnam were included. The quality level achieved according to the ten prespecified DoCDat criteria was high (average score 3.4 out of 4) as was the structural and organizational performance -- comparable to ICU registries in high-income countries. Identified strengths were types of variables included, reliability of coding, data completeness and validation. Potential improvements included extension of national coverage, optimization of recruitment completeness validation in all centers and the use of interobserver reliability checks. Conclusions: The Critical Care Asia platform evaluates well using standardised frameworks for data quality and equally to registries in resource-rich settings. |
format | Online Article Text |
id | pubmed-8812332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-88123322022-02-08 Performance evaluation of a multinational data platform for critical care in Asia Pisani, Luigi Rashan, Thalha Shamal, Maryam Ghose, Aniruddha Kumar Tirupakuzhi Vijayaraghavan, Bharath Tripathy, Swagata Aryal, Diptesh Hashmi, Madiha Nor, Basri Lam Minh, Yen Dondorp, Arjen M. Haniffa, Rashan Beane, Abi Wellcome Open Res Research Article Background: The value of medical registries strongly depends on the quality of the data collected. This must be objectively measured before large clinical databases can be promoted for observational research, quality improvement, and clinical trials. We aimed to evaluate the quality of a multinational intensive care unit (ICU) network of registries of critically ill patients established in seven Asian low- and middle-income countries (LMICs). Methods: The Critical Care Asia federated registry platform enables ICUs to collect clinical, outcome and process data for aggregate and unit-level analysis. The evaluation used the standardised criteria of the Directory of Clinical Databases (DoCDat) and a framework for data quality assurance in medical registries. Six reviewers assessed structure, coverage, reliability and validity of the ICU registry data. Case mix and process measures on patient episodes from June to December 2020 were analysed. Results: Data on 20,507 consecutive patient episodes from 97 ICUs in Afghanistan, Bangladesh, India, Malaysia, Nepal, Pakistan and Vietnam were included. The quality level achieved according to the ten prespecified DoCDat criteria was high (average score 3.4 out of 4) as was the structural and organizational performance -- comparable to ICU registries in high-income countries. Identified strengths were types of variables included, reliability of coding, data completeness and validation. Potential improvements included extension of national coverage, optimization of recruitment completeness validation in all centers and the use of interobserver reliability checks. Conclusions: The Critical Care Asia platform evaluates well using standardised frameworks for data quality and equally to registries in resource-rich settings. F1000 Research Limited 2022-07-11 /pmc/articles/PMC8812332/ /pubmed/35141427 http://dx.doi.org/10.12688/wellcomeopenres.17122.2 Text en Copyright: © 2022 Collaboration for Research, Implementation and Training in Critical Care - Asia Investigators et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Pisani, Luigi Rashan, Thalha Shamal, Maryam Ghose, Aniruddha Kumar Tirupakuzhi Vijayaraghavan, Bharath Tripathy, Swagata Aryal, Diptesh Hashmi, Madiha Nor, Basri Lam Minh, Yen Dondorp, Arjen M. Haniffa, Rashan Beane, Abi Performance evaluation of a multinational data platform for critical care in Asia |
title | Performance evaluation of a multinational data platform for critical care in Asia |
title_full | Performance evaluation of a multinational data platform for critical care in Asia |
title_fullStr | Performance evaluation of a multinational data platform for critical care in Asia |
title_full_unstemmed | Performance evaluation of a multinational data platform for critical care in Asia |
title_short | Performance evaluation of a multinational data platform for critical care in Asia |
title_sort | performance evaluation of a multinational data platform for critical care in asia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812332/ https://www.ncbi.nlm.nih.gov/pubmed/35141427 http://dx.doi.org/10.12688/wellcomeopenres.17122.2 |
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