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魁北克省健康管理数据库中的心血管疾病:28 年前瞻性队列研究中漏诊和病例数低估。

Cardiovascular diseases in Quebec health administrative databases: missing diagnoses and underestimation of the number of cases in a 28-year prospective cohort.

机构信息

Faculty of Medicine, Université Laval, Québec City, Quebec, Canada.

Centre de recherche du CHU de Québec-Université Laval, Québec City, Quebec, Canada.

出版信息

Health Promot Chronic Dis Prev Can. 2024 Oct;44(10):409-416. doi: 10.24095/hpcdp.44.9.01.

Abstract

INTRODUCTION

Cardiovascular disease (CVD) surveillance in Quebec and the rest of Canada is carried out using health administrative databases, which in Quebec includes the physician claims database. The presence of billing claims without diagnoses can lead to the number of CVD cases being underestimated. The purpose of this study is to estimate the proportion of CVD diagnoses and CVD cases that may be missing from these databases.

METHODS

The study was conducted using a prospective cohort of 8781 participants living in the Québec City area. Access to health administrative databases was granted for the entire 28-year follow-up period. First, we performed frequency analyses to estimate the proportion of missing CVD diagnoses. Then we used validated algorithms to identify CVD cases and estimate the proportion of CVD cases that were potentially not captured over the 28-year period.

RESULTS

About one-fifth (22.1%) of the diagnoses in the physician claims database were missing. The proportion of missing CVD cases was estimated at 12.7% for 1991-2018, although this varied with the period covered (1991-1996: 15.5%; 1997-2013: 10.7%; and 2014-2018: 16.3%).

CONCLUSION

Approximatively 1 in 10 CVD cases are not identified due to a missing diagnosis. This underestimation of CVD cases is a potential limitation that should be considered when using Quebec health administrative databases to identify CVD cases for surveillance work and epidemiological studies.

摘要

简介

魁北克省和加拿大其他地区的心血管疾病 (CVD) 监测是使用健康管理数据库进行的,其中包括魁北克省的医生索赔数据库。由于存在没有诊断的计费索赔,可能会导致 CVD 病例数量被低估。本研究的目的是估计这些数据库中可能缺失的 CVD 诊断和 CVD 病例的比例。

方法

该研究使用了居住在魁北克市地区的 8781 名参与者的前瞻性队列。在整个 28 年的随访期间,都可以访问健康管理数据库。首先,我们进行了频率分析,以估计缺失 CVD 诊断的比例。然后,我们使用经过验证的算法来识别 CVD 病例,并估计在 28 年内可能未捕获的 CVD 病例的比例。

结果

医生索赔数据库中的诊断约有五分之一(22.1%)缺失。1991-2018 年期间,估计潜在未捕获的 CVD 病例比例为 12.7%,但这因所涵盖的时间段而异(1991-1996 年:15.5%;1997-2013 年:10.7%;2014-2018 年:16.3%)。

结论

大约每 10 例 CVD 病例中就有 1 例因缺失诊断而未被识别。在使用魁北克省健康管理数据库来识别 CVD 病例进行监测工作和流行病学研究时,这种对 CVD 病例的低估是一个潜在的局限性,应该加以考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2cb/11542739/2581cec84322/44_10_1_f01.jpg

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