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Data verification of nationwide clinical quality registries

BACKGROUND: Clinical auditing is an emerging instrument for quality assessment and improvement. Moreover, clinical registries facilitate medical research as they provide ‘real world’ data. It is important that entered data are robust and reliable. The aim of this study was to describe the evolving p...

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Autores principales: van der Werf, L. R., Voeten, S. C., van Loe, C. M. M., Karthaus, E. G., Wouters, M. W. J. M., Prins, H. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887678/
https://www.ncbi.nlm.nih.gov/pubmed/31832593
http://dx.doi.org/10.1002/bjs5.50209
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author van der Werf, L. R.
Voeten, S. C.
van Loe, C. M. M.
Karthaus, E. G.
Wouters, M. W. J. M.
Prins, H. A.
author_facet van der Werf, L. R.
Voeten, S. C.
van Loe, C. M. M.
Karthaus, E. G.
Wouters, M. W. J. M.
Prins, H. A.
author_sort van der Werf, L. R.
collection PubMed
description BACKGROUND: Clinical auditing is an emerging instrument for quality assessment and improvement. Moreover, clinical registries facilitate medical research as they provide ‘real world’ data. It is important that entered data are robust and reliable. The aim of this study was to describe the evolving procedure and results of data verification within the Dutch Institute for Clinical Auditing (DICA). METHODS: Data verification performed on several (disease‐specific) clinical registries between 2013 and 2015 was evaluated. Sign‐up, sample size and process of verification were described. For each procedure, hospitals were visited by external data managers to verify registered data. Outcomes of data verification were completeness and accuracy. An assessment of the quality of data was given per registry, for each participating hospital. Using descriptive statistics, analyses were performed for different sections within the individual registries. RESULTS: Seven of the 21 registries were verified, involving 174 visits to hospital departments. A step‐by‐step description of the data verification process was provided. Completeness of data in the registries varied from 97·2 to 99·4 per cent. Accuracy of data ranged from 88·2 to 100 per cent. Most discrepancies were observed for postoperative complications (0·7–7·5 per cent) and ASA classification (8·5–11·4 per cent). Data quality was assessed as ‘sufficient’ for 145 of the 174 hospital departments (83·3 per cent). CONCLUSION: Data verification revealed that the data entered in the observed DICA registries were complete and accurate.
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spelling pubmed-68876782019-12-12 Data verification of nationwide clinical quality registries van der Werf, L. R. Voeten, S. C. van Loe, C. M. M. Karthaus, E. G. Wouters, M. W. J. M. Prins, H. A. BJS Open Original Articles BACKGROUND: Clinical auditing is an emerging instrument for quality assessment and improvement. Moreover, clinical registries facilitate medical research as they provide ‘real world’ data. It is important that entered data are robust and reliable. The aim of this study was to describe the evolving procedure and results of data verification within the Dutch Institute for Clinical Auditing (DICA). METHODS: Data verification performed on several (disease‐specific) clinical registries between 2013 and 2015 was evaluated. Sign‐up, sample size and process of verification were described. For each procedure, hospitals were visited by external data managers to verify registered data. Outcomes of data verification were completeness and accuracy. An assessment of the quality of data was given per registry, for each participating hospital. Using descriptive statistics, analyses were performed for different sections within the individual registries. RESULTS: Seven of the 21 registries were verified, involving 174 visits to hospital departments. A step‐by‐step description of the data verification process was provided. Completeness of data in the registries varied from 97·2 to 99·4 per cent. Accuracy of data ranged from 88·2 to 100 per cent. Most discrepancies were observed for postoperative complications (0·7–7·5 per cent) and ASA classification (8·5–11·4 per cent). Data quality was assessed as ‘sufficient’ for 145 of the 174 hospital departments (83·3 per cent). CONCLUSION: Data verification revealed that the data entered in the observed DICA registries were complete and accurate. John Wiley & Sons, Ltd 2019-08-19 /pmc/articles/PMC6887678/ /pubmed/31832593 http://dx.doi.org/10.1002/bjs5.50209 Text en © 2019 The Authors. BJS Open published by John Wiley & Sons Ltd on behalf of BJS Society Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
van der Werf, L. R.
Voeten, S. C.
van Loe, C. M. M.
Karthaus, E. G.
Wouters, M. W. J. M.
Prins, H. A.
Data verification of nationwide clinical quality registries
title Data verification of nationwide clinical quality registries
title_full Data verification of nationwide clinical quality registries
title_fullStr Data verification of nationwide clinical quality registries
title_full_unstemmed Data verification of nationwide clinical quality registries
title_short Data verification of nationwide clinical quality registries
title_sort data verification of nationwide clinical quality registries
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887678/
https://www.ncbi.nlm.nih.gov/pubmed/31832593
http://dx.doi.org/10.1002/bjs5.50209
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