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Validating a method that deals with missing drug information in the Saskatchewan Drug Plan database
Hani M Tamim1, Vicky Tagalakis
1Research Center/College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia. tamimh@ngha.med.sa
Pharmacoepidemiology and Drug Safety
|December 19, 2008
Summary
Assuming no drug exposure during Saskatchewan's prescription data "black-hole" minimally impacts warfarin's association with prostate cancer risk. This finding is crucial for accurate epidemiological research using incomplete health records.
Area of Science:
- Epidemiology
- Pharmacoepidemiology
- Health Data Science
Background:
- Saskatchewan Drug Plan data has an 18-month gap (1987-1988) termed the "black-hole", limiting its utility.
- This data gap poses a challenge for epidemiological studies relying on complete prescription histories.
Purpose of the Study:
- To evaluate the effect of assuming no drug exposure during the
- To assess how imputing non-exposure during data gaps influences study outcomes.
Main Methods:
- A matched case-control study investigated warfarin use and prostate cancer risk.
- Two analyses were performed: one excluding the
- Conditional logistic regression calculated adjusted incidence rates and confidence intervals.
Main Results:
- Ever-use of warfarin showed similar odds ratios (ORs) for prostate cancer with (0.89) and without (0.91) the
- Cumulative warfarin use demonstrated comparable ORs across analyses, with longer durations showing decreased risk (e.g., 4 years: 0.76 vs. 0.76).
Conclusions:
- Assuming non-exposure during the Saskatchewan Drug Plan's
- The imputation method has a minor impact on measures of association in this study.
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