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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...

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Main Authors: Pisani, Luigi, Rashan, Thalha, Shamal, Maryam, Ghose, Aniruddha, Vijayaraghavan, Bharath Kumar Tirupakuzhi, Tripathy, Swagata, Aryal, Diptesh, Hashmi, Madiha, Mat Nor, Mohd Basri, Yen, Lam Minh, Dondorp, Arjen M., Haniffa, Rashan, Beane, Abi
Format: Article
Language:English
English
Published: F1000 Research Ltd 2021
Subjects:
R Medicine (General)
RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
Online Access:http://irep.iium.edu.my/96439/1/96439_Performance%20evaluation%20of%20a%20multinational%20data.pdf
http://irep.iium.edu.my/96439/2/96439_Performance%20evaluation%20of%20a%20multinational%20data_SCOPUS.pdf
http://irep.iium.edu.my/96439/
https://wellcomeopenresearch.org/articles/6-251/v1
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spelling my.iium.irep.964392022-03-01T02:47:52Z http://irep.iium.edu.my/96439/ Performance evaluation of a multinational data platform for critical care in Asia Pisani, Luigi Rashan, Thalha Shamal, Maryam Ghose, Aniruddha Vijayaraghavan, Bharath Kumar Tirupakuzhi Tripathy, Swagata Aryal, Diptesh Hashmi, Madiha Mat Nor, Mohd Basri Yen, Lam Minh Dondorp, Arjen M. Haniffa, Rashan Beane, Abi R Medicine (General) RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid 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 Ltd 2021 Article PeerReviewed application/pdf en http://irep.iium.edu.my/96439/1/96439_Performance%20evaluation%20of%20a%20multinational%20data.pdf application/pdf en http://irep.iium.edu.my/96439/2/96439_Performance%20evaluation%20of%20a%20multinational%20data_SCOPUS.pdf Pisani, Luigi and Rashan, Thalha and Shamal, Maryam and Ghose, Aniruddha and Vijayaraghavan, Bharath Kumar Tirupakuzhi and Tripathy, Swagata and Aryal, Diptesh and Hashmi, Madiha and Mat Nor, Mohd Basri and Yen, Lam Minh and Dondorp, Arjen M. and Haniffa, Rashan and Beane, Abi (2021) Performance evaluation of a multinational data platform for critical care in Asia. Wellcome Open Research, 6. ISSN 2398-502X https://wellcomeopenresearch.org/articles/6-251/v1 10.12688/wellcomeopenres.17122.1
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic R Medicine (General)
RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
spellingShingle R Medicine (General)
RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
Pisani, Luigi
Rashan, Thalha
Shamal, Maryam
Ghose, Aniruddha
Vijayaraghavan, Bharath Kumar Tirupakuzhi
Tripathy, Swagata
Aryal, Diptesh
Hashmi, Madiha
Mat Nor, Mohd Basri
Yen, Lam Minh
Dondorp, Arjen M.
Haniffa, Rashan
Beane, Abi
Performance evaluation of a multinational data platform for critical care in Asia
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 Article
author Pisani, Luigi
Rashan, Thalha
Shamal, Maryam
Ghose, Aniruddha
Vijayaraghavan, Bharath Kumar Tirupakuzhi
Tripathy, Swagata
Aryal, Diptesh
Hashmi, Madiha
Mat Nor, Mohd Basri
Yen, Lam Minh
Dondorp, Arjen M.
Haniffa, Rashan
Beane, Abi
author_facet Pisani, Luigi
Rashan, Thalha
Shamal, Maryam
Ghose, Aniruddha
Vijayaraghavan, Bharath Kumar Tirupakuzhi
Tripathy, Swagata
Aryal, Diptesh
Hashmi, Madiha
Mat Nor, Mohd Basri
Yen, Lam Minh
Dondorp, Arjen M.
Haniffa, Rashan
Beane, Abi
author_sort Pisani, Luigi
title 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_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_sort performance evaluation of a multinational data platform for critical care in asia
publisher F1000 Research Ltd
publishDate 2021
url http://irep.iium.edu.my/96439/1/96439_Performance%20evaluation%20of%20a%20multinational%20data.pdf
http://irep.iium.edu.my/96439/2/96439_Performance%20evaluation%20of%20a%20multinational%20data_SCOPUS.pdf
http://irep.iium.edu.my/96439/
https://wellcomeopenresearch.org/articles/6-251/v1
_version_ 1726791267865591808
score 13.211869

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