Data quality and auditing within the Netherlands Heart Registration: using the PCI registry as an example

被引:17
|
作者
Houterman, S. [1 ]
van Dullemen, A. [1 ,2 ]
Versteegh, M. [1 ]
Aengevaeren, W. [1 ]
Danse, P. [3 ]
Brinkman, E. [4 ]
Schuurman, D. [1 ]
van Veghel, D. [1 ]
机构
[1] Netherlands Heart Registrat, Utrecht, Netherlands
[2] Onze Lieve Vrouwe Gasthuis Hosp, Dept Cardiol, Amsterdam, Netherlands
[3] Rijnstate Hosp, Dept Cardiol, Arnhem, Netherlands
[4] Amsterdam UMC, Dept Med Informat, Amsterdam, Netherlands
关键词
Data quality; Audit; Percutaneous coronary intervention; Netherlands Heart Registration; TRIAL;
D O I
10.1007/s12471-022-01752-1
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
AimThe aim of this article is to present the method and results of the data quality control system and audit within the Netherlands Heart Registration (NHR) using data of patients treated with percutaneous coronary intervention (PCI) in the Netherlands as an example.MethodsThe NHR is a Dutch nationwide registry of all cardiac interventions, comprising data from all 71 hospitals, of which 30 are cardiac intervention or heart centres. Each year, within the NHR, data validation and verification is performed by standard quality controls and monitoring visits (audits). For the audit in 2019, a sample of 50-100 medical records of patients treated with PCI in 2016 and 2017 were reviewed in each hospital by an independent auditor. The data received by the NHR were compared with the information in the hospitals' medical records. In total 12 patient characteristics, 5 intervention variables and 3 outcome variables were screened. The value of a variable was considered discrepant if more than 10% of the medical records reviewed regarding this variable were not consistent with the reported data received by the NHR.ResultsFor all variables together, the consistency was high, 97.6%. All variables, except multivessel disease (9.3% discrepancy in the 2622 medical records reviewed), had an accuracy above 95%.ConclusionThe results of the audit of the PCI medical records show that the overall quality of the data is high. For variables such as multivessel disease it is important to improve knowledge of the definitions and to train all those involved in the registration process.
引用
收藏
页码:334 / 339
页数:6
相关论文
共 14 条
  • [1] Data quality and auditing within the Netherlands Heart Registration: using the PCI registry as an example
    S. Houterman
    A. van Dullemen
    M. Versteegh
    W. Aengevaeren
    P. Danse
    E. Brinkman
    D. Schuurman
    D. van Veghel
    Netherlands Heart Journal, 2023, 31 : 334 - 339
  • [2] Using real-world data to monitor and improve quality of care in coronary artery disease: results from the Netherlands Heart Registration
    Timmermans, Marijke J. C.
    Houterman, Saskia
    Daeter, Edgar D.
    Danse, Peter W.
    Li, Wilson W.
    Lipsic, Erik
    Roefs, Maaike M.
    van Veghel, Dennis
    NETHERLANDS HEART JOURNAL, 2022, 30 (12) : 546 - 556
  • [3] Using real-world data to monitor and improve quality of care in coronary artery disease: results from the Netherlands Heart Registration
    Marijke J. C. Timmermans
    Saskia Houterman
    Edgar D. Daeter
    Peter W. Danse
    Wilson W. Li
    Erik Lipsic
    Maaike M. Roefs
    Dennis van Veghel
    Netherlands Heart Journal, 2022, 30 : 546 - 556
  • [4] Using cancer registry data for survival studies: the example of the Ontario Cancer Registry
    Hall, S
    Schulze, K
    Groome, P
    Mackillop, W
    Holowaty, E
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 2006, 59 (01) : 67 - 76
  • [5] Childhood cancer registration in New Zealand: A registry collaboration to assess and improve data quality
    Ballantine, Kirsten R.
    Hanna, Susan
    Macfarlane, Scott
    Bradbeer, Peter
    Teague, Lochie
    Hunter, Sarah
    Cross, Siobhan
    Skeen, Jane
    CANCER EPIDEMIOLOGY, 2018, 55 : 104 - 109
  • [6] Prognostic impact of using drug-eluting-stents on outcome and strategy in multivessel PCI: Data from the Frankfurt MV-PCI registry
    Schwietz, Thomas
    Ehrlich, Joachim R.
    De Rosa, Salvatore
    Fichtlscherer, Stephan
    Schaechinger, Volker
    Baier, Gregor
    Laskowski, Rafael
    Zeiher, Andreas M.
    Spyridopoulos, Ioakim
    Lehmann, Ralf
    JOURNAL OF CARDIOLOGY, 2013, 61 (1-2) : 38 - 43
  • [7] Using the Benford's Law as a First Step to Assess the Quality of the Cancer Registry Data
    Crocetti, Emanuele
    Randi, Giorgia
    FRONTIERS IN PUBLIC HEALTH, 2016, 4
  • [8] Using primary care electronic health record data for comparative effectiveness research: experience of data quality assessment and preprocessing in The Netherlands
    Huang, Yunyu
    Voorham, Jaco
    Haaijer-Ruskamp, Flora M.
    JOURNAL OF COMPARATIVE EFFECTIVENESS RESEARCH, 2016, 5 (04) : 345 - 354
  • [9] Development of binational radiation therapy quality indicator reports for prostate cancer treatment using registry data
    Chmiel, Edward
    Pase, Marie
    Evans, Melanie
    Johnson, Maggie
    Millar, Jeremy
    Papa, Nathan
    JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY, 2022, 66 (08) : 1097 - 1105
  • [10] Framework for defining information quality based on data attributes within the digital shadow using LDA
    Riesener, Michael
    Doelle, Christian
    Schuh, Guenther
    Toennes, Christian
    11TH CIRP CONFERENCE ON INDUSTRIAL PRODUCT-SERVICE SYSTEMS, 2019, 83 : 304 - 310