The impact of lookback windows on the prevalence and incidence of chronic diseases among people living with HIV: an exploration in administrative health data in Canada

BMC Medical Research Methodology

Jacek Kopec¹  Paul Sereda²  Xinzhe Dong²  Taylor McLinden²  Ni Gusti Ayu Nanditha³  Julio S. G. Montaner³  Viviane D. Lima³  Robert S. Hogg⁴ 

[1] Arthritis Research Canada, Richmond, BC, Canada;School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada;British Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, V6Z 1Y6, Vancouver, BC, Canada;British Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, V6Z 1Y6, Vancouver, BC, Canada;Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada;British Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, V6Z 1Y6, Vancouver, BC, Canada;Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada;

关键词: Administrative health data;    Comorbidities;    HIV;    Incidence;    Lookback window;    Prevalence;    Bias;   

DOI  :  10.1186/s12874-021-01448-x

来源: Springer

【 摘 要 】

BackgroundWe described the impact of different lengths of lookback window (LW), a retrospective time period to observe diagnoses in administrative data, on the prevalence and incidence of eight chronic diseases.MethodsOur study populations included people living with HIV (N = 5151) and 1:5 age-sex-matched HIV-negative individuals (N = 25,755) in British Columbia, Canada, with complete follow-up between 1996 and 2012. We measured period prevalence and incidence of diseases in 2012 using LWs ranging from 1 to 16 years. Cases were deemed prevalent if identified in 2012 or within a defined LW, and incident if newly identified in 2012 with no previous cases detected within a defined LW. Chronic disease cases were ascertained using published case-finding algorithms applied to population-based provincial administrative health datasets.ResultsOverall, using cases identified by the full 16-year LW as the reference, LWs ≥8 years and ≥ 4 years reduced the proportion of misclassified prevalent and incidence cases of most diseases to < 20%, respectively. The impact of LWs varied across diseases and populations.ConclusionsThis study underscored the importance of carefully choosing LWs and demonstrated data-driven approaches that may inform these choices. To improve comparability of prevalence and incidence estimates across different settings, we recommend transparent reporting of the rationale and limitations of chosen LWs.

【 授权许可】

CC BY