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Data quality audit of the arthroplasty clinical outcomes registry NSW

BMC health services research, 2014-11, Vol.14 (1), p.512-512, Article 512 [Peer Reviewed Journal]

COPYRIGHT 2014 BioMed Central Ltd. ;2014 Seagrave et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;2014. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Seagrave et al.; licensee BioMed Central Ltd. 2014 ;ISSN: 1472-6963 ;EISSN: 1472-6963 ;DOI: 10.1186/s12913-014-0512-6 ;PMID: 25410899

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Title:
Data quality audit of the arthroplasty clinical outcomes registry NSW
Author: Seagrave, Kurt G ; Naylor, Justine ; Armstrong, Elizabeth ; Leong, Kwong-Ming ; Descallar, Joseph ; Harris, Ian A
Subjects: Accuracy ; Aged ; Agreements ; Arthroplasty, Replacement, Hip - statistics & numerical data ; Arthroplasty, Replacement, Knee - statistics & numerical data ; Audits ; Clinical outcomes ; Comorbidity ; Confidence intervals ; Data Accuracy ; Data collection ; Data Collection - statistics & numerical data ; Data entry ; Datasets ; Family medical history ; Female ; Health services ; Hospitals ; Humans ; Joint replacement surgery ; Joint surgery ; Length of stay ; Male ; Medical records ; Medical Records - statistics & numerical data ; Middle Aged ; Missing data ; Mortality ; Nervous system ; New South Wales ; Orthopedics ; Patients ; Quality of life ; Registries - statistics & numerical data ; Retrospective Studies ; Studies ; Variables
Is Part Of: BMC health services research, 2014-11, Vol.14 (1), p.512-512, Article 512
Description: The Arthroplasty Clinical Outcomes Registry NSW (ACORN) was initiated in 2012. ACORN is a registry piloting within NSW, Australia with several participating hospitals; it aims to monitor patient-centred outcomes and post-surgical complications after total hip and knee arthroplasty. Using retrospective audit methodology, we aimed to investigate the completeness and accuracy of data in ACORN. We undertook a reabstracting audit of 100 clinical records of patients who underwent surgery in 2012/2013 (50 each from hospitals A and B). These records represented 27% (100/367) of patient entries in the ACORN registry, all of which were collected at either hospital A or hospital B. Firstly, data completeness was determined by identifying the proportion of missing data in the original data pro forma. Secondly, accuracy of the initial data extraction was determined by comparing these data to reabstracted data collated by an auditor blind to the outcomes of the initial extraction. Inaccuracies were ascertained to be a disagreement between categorical variables and for continuous data, a pre-determined window of error was established. Benchmarks for data completeness and accuracy were set at 95.0%; kappa and intraclass coefficient (ICC) calculations were also utilised to supplement this analysis. In addition, registry completeness (the percentage capture of eligible patients) was also determined as part of the data quality analysis. Completeness and accuracy of submitted datasets were evaluated to be 99.0% (1259/1272) and 94.0% (2159/2296) respectively for Hospital A, and 99.3% (1589/1600) and 96.1% (2444/2542) for Hospital B. The majority of accuracy discrepancies pertained to medical history data. For Hospital A, 57.1% (28/49) of variables met the accuracy benchmark of 95%; 74.5% (38/51) of variables in Hospital B met this benchmark. Of the number of patients eligible for inclusion in the registry, 93.5% (660/706) were found to be included. Levels of data completeness and accuracy were found to be high in the submitted datasets for both hospitals. However, important deficits were identified in the accuracy of patient comorbidities. More specific and clear data definitions, and a more thorough examination of medical records would be possible methods to improve the accuracy of deficient areas.
Publisher: England: BioMed Central Ltd
Language: English
Identifier: ISSN: 1472-6963
EISSN: 1472-6963
DOI: 10.1186/s12913-014-0512-6
PMID: 25410899
Source: SpringerOpen
Geneva Foundation Free Medical Journals at publisher websites
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ROAD: Directory of Open Access Scholarly Resources
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Data quality audit of the arthroplasty clinical outcomes registry NSW

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