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Patient preferences for medical doctors.
Adrian Furnham1, K V Petrides, Joanna Temple
1Department of Psychology, University College London, UK. a.furnham@ucl.ac.uk
British Journal of Health Psychology
|July 28, 2006
Summary
Patient preferences for doctors vary by doctor attributes like age, training, and gender, with UK-trained physicians often favored. These preferences differ for general practitioners versus consultants, especially with intimate health issues.
Area of Science:
- Medical sociology
- Health services research
- Patient-physician relationship
Background:
- Understanding patient preferences is crucial for effective healthcare delivery.
- Doctor attributes such as age, training origin, and gender may influence patient perceptions.
- The nature of the health condition (intimate vs. non-intimate) could impact these preferences.
Purpose of the Study:
- To investigate how patient preferences are shaped by doctor's age, training location (UK vs. Asia), and gender.
- To examine if these preferences differ based on the intimacy of the health condition.
- To compare patient preferences for general practitioners (GPs) versus consultants.
Main Methods:
- A study involving 395 white, native English-speaking adults.
- Participants rated eight hypothetical doctors varying in age (<35 vs. >50), training (UK vs. Asia), and gender.
- Participants were assigned to conditions involving either intimate or non-intimate health problems.
Main Results:
- A general preference for UK-trained doctors was observed, though sample homogeneity limits definitive conclusions.
- Significant interactions were found between patient gender and doctor gender, and doctor age and training location.
- Doctor ratings showed more significant effects for general practitioners than for consultants.
Conclusions:
- Patient preferences for doctors are influenced by a complex interplay of doctor attributes and condition type.
- Patients may apply different decision-making criteria when selecting general practitioners compared to consultants.
- Further research is needed to confirm the influence of training location, considering potential sample biases.