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Decision making and prescribing patterns--a literature review
1Department of General Practice, University of Manchester, Rusholme Health Centre, UK.
Family Practice
|September 1, 1991
Summary
Understanding doctor prescribing patterns requires examining decision-making processes, not just doctor characteristics. This review explores drug adoption, selection, and treatment decisions to improve prescribing behavior analysis.
Area of Science:
- Pharmacology
- Health Services Research
- Medical Decision Making
Background:
- Prescribing patterns vary significantly among doctors.
- Previous research focused on doctor characteristics and correlates of good prescribing, with limited success.
- Understanding the decision-making processes underlying prescribing is crucial for further insights.
Purpose of the Study:
- To review the literature on variations in prescribing patterns.
- To critically evaluate attempts to link prescribing variation to doctor characteristics.
- To explore the decision-making processes involved in prescribing, including drug adoption, selection, and treatment decisions.
Main Methods:
- Literature review of studies on prescribing patterns and their correlates.
- Analysis of research on drug adoption and relinquishment (1966-1991).
- Examination of literature on drug selection within individual consultations and the 'drug choice model'.
- Review of studies on the decision to treat, noting empirical gaps.
Main Results:
- Efforts to correlate prescribing variation with doctor characteristics have limitations.
- Understanding underlying decision-making processes is key to analyzing prescribing behavior.
- Evidence for specific models like the 'drug choice model' in individual consultations is assessed.
- There is a notable lack of empirical evidence regarding the decision to treat.
Conclusions:
- Further research into the decision-making processes of doctors is needed to understand prescribing behavior.
- The review highlights the complexity of prescribing and the need for nuanced analytical approaches.
- Identifying gaps in empirical evidence, particularly concerning the decision to treat, is essential for future research directions.