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Data accuracy, consistency and completeness of the national Swiss cystic fibrosis patient registry: Lessons from an ECFSPR data quality project
Journal of Cystic Fibrosis ( IF 5.2 ) Pub Date : 2023-11-22 , DOI: 10.1016/j.jcf.2023.08.015
Lara Wolf 1 , Jakob Usemann 2 , Eugénie Collaud 3 , Marie-France Derkenne 4 , Reta Fischer 5 , Maxime Hensen 6 , Michael Hitzler 7 , Markus Hofer 8 , Demet Inci 3 , Sarosh Irani 9 , Kathleen Jahn 10 , Angela Koutsokera 4 , Rachel Kusche 11 , Thomas Kurowski 12 , Philipp Latzin 13 , Dagmar Lin 14 , Laurence Mioranza 15 , Alexander Moeller 3 , Anne Mornand 16 , Dominik Mueller-Suter 17 , Christian Murer 18 , Lutz Naehrlich 19 , Jérôme Plojoux 20 , Nicolas Regamey 7 , Romy Rodriguez 13 , Isabelle Rochat 15 , Alain Sauty 21 , Macé Schuurmans 12 , Michaela Semmler 14 , Daniel Trachsel 22 , Anna-Lena Walter 23 , Andreas Jung 24
Affiliation  

Background

Good data quality is essential when rare disease registries are used as a data source for pharmacovigilance studies. This study investigated data quality of the Swiss cystic fibrosis (CF) registry in the frame of a European Cystic Fibrosis Society Patient Registry (ECFSPR) project aiming to implement measures to increase data reliability for registry-based research.

Methods

All 20 pediatric and adult Swiss CF centers participated in a data quality audit between 2018 and 2020, and in a re-audit in 2022. Accuracy, consistency and completeness of variables and definitions were evaluated, and missing source data and informed consents (ICs) were assessed.

Results

The first audit included 601 out of 997 Swiss people with CF (60.3 %). Data quality, as defined by data correctness ≥95 %, was high for most of the variables. Inconsistencies of specific variables were observed because of an incorrect application of the variable definition. The proportion of missing data was low with <5 % for almost all variables. A considerable number of missing source data occurred for CFTR variants. Availability of ICs varied largely between centers (10 centers had >5 % of missing documents). After providing feedback to the centers, availability of genetic source data and ICs improved.

Conclusions

Data audits demonstrated an overall good data quality in the Swiss CF registry. Specific measures such as support of the participating sites, training of data managers and centralized data collection should be implemented in rare disease registries to optimize data quality and provide robust data for registry-based scientific research.



中文翻译:

瑞士国家囊性纤维化患者登记处的数据准确性、一致性和完整性:ECFSPR 数据质量项目的经验教训

背景

当罕见疾病登记处被用作药物警戒研究的数据源时,良好的数据质量至关重要。本研究在欧洲囊性纤维化协会患者登记处 (ECFSPR) 项目的框架内调查了瑞士囊性纤维化 (CF) 登记处的数据质量,旨在采取措施提高基于登记处的研究的数据可靠性。

方法

瑞士所有 20 个儿科和成人 CF 中心均参加了 2018 年至 2020 年的数据质量审计,并于 2022 年进行了重新审计。评估了变量和定义的准确性、一致性和完整性,以及缺失的源数据和知情同意书 (IC)进行了评估。

结果

第一次审计纳入了 997 名瑞士 CF 患者中的 601 名(60.3%)。大多数变量的数据质量(数据正确性≥95%)都很高。由于变量定义的应用不正确,观察到特定变量的不一致。几乎所有变量的缺失数据比例都很低,<5%。CFTR 变体存在大量源数据缺失。IC 的可用性在各个中心之间差异很大(10 个中心的文件丢失率超过 5%)。向中心提供反馈后,遗传源数据和 IC 的可用性得到改善。

结论

数据审计表明瑞士 CF 登记处的数据质量总体良好。罕见病登记中心应采取对参与点的支持、数据管理人员培训、数据集中收集等具体措施,优化数据质量,为登记科学研究提供可靠数据。

更新日期:2023-11-22
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