Multimorbidity prevalence and health outcome prediction: assessing the impact of lookback periods, disease count, and definition criteria in health administrative data at the population-based level

Multimorbidity prevalence and health outcome prediction: assessing the impact of lookback periods, disease count, and definition criteria in health administrative data at the population-based level

Abstract Background Health administrative databases play a crucial role in population-level multimorbidity surveillance. Determining the appropriate retrospective or lookback period (LP) for observing prevalent and newly diagnosed diseases in administrative data presents challenge in estimating mult...

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Bibliographic Details
Main Authors: Marc Simard, Elham Rahme, Marjolaine Dubé, Véronique Boiteau, Denis Talbot, Caroline Sirois
Format: Article
Language:English
Published: BMC 2024-05-01
Series:BMC Medical Research Methodology
Subjects:
Multimorbidity
Prevalence
Health outcome prediction
Lookback period
Administrative Data
Online Access:https://doi.org/10.1186/s12874-024-02243-0

Internet

https://doi.org/10.1186/s12874-024-02243-0

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