Performance of the disease risk score in a cohort study with policy-induced selection bias

Author:

Tadrous Mina123,Mamdani Muhammad M1234,Juurlink David N25,Krahn Murray D1246,Lévesque Linda E27,Cadarette Suzanne M12

Affiliation:

1. Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College Street, Toronto, ON, M5S 3M2, Canada

2. Institute for Clinical Evaluative Sciences, 2075 Bayview Avenue G1 06, Toronto, ON, M4N 3M5, Canada

3. Applied Health Research Centre, Li Ka Shing Knowledge Institute, St Michael's Hospital, 30 Bond St, Toronto, ON, M5B 1W8, Canada

4. Institute of Health Policy, Management & Evaluation, University of Toronto, 27 King's College Cir, Toronto, ON, M5S, Canada

5. Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, ON, M4N 3M5T, Canada

6. Toronto Health Economics & Technology Assessment (THETA) Collaborative, Toronto, ON, M5S 3M2, Canada

7. Department of Public Health Sciences, Queen's University, 99 University Ave., Kingston, ON K7L 3N6, Canada

Abstract

Aim: To examine the performance of the disease risk score (DRS) in a cohort study with evidence of policy-induced selection bias. Methods: We examined two cohorts of new users of bisphosphonates. Estimates for 1-year hip fracture rates between agents using DRS, exposure propensity scores and traditional multivariable analysis were compared. Results: The results for the cohort with no evidence of policy-induced selection bias showed little variation across analyses (-4.1–2.0%). Analysis of the cohort with evidence of policy-induced selection bias showed greater variation (-13.5–8.1%), with the greatest difference seen with DRS analyses. Conclusion: Our findings suggest that caution may be warranted when using DRS methods in cohort studies with policy-induced selection bias, further research is needed.

Publisher

Future Medicine Ltd

Subject

Health Policy

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