Abstract

BackgroundUp to now it has not been systematically investigated in which kind of clinical situations a consultation style based on shared decision making (SDM) is preferred by patients and physicians. We suggest the factorial survey design to address this problem.This method, which so far has hardly been used in health service research, allows to vary relevant factors describing clinical situations as variables systematically in an experimental random design and to investigate their importance in large samples.Methods/DesignTo identify situational factors for the survey we first performed a literature search which was followed by a qualitative interview study with patients, physicians and health care experts. As a result, 7 factors (e.g. "Reason for consultation" and "Number of therapeutic options") with 2 to 3 levels (e.g. "One therapeutic option" and "More than one therapeutic option") will be included in the study. For the survey the factor levels will be randomly combined to short stories describing different treatment situations.A randomized sample of all possible short stories will be given to at least 300 subjects (100 GPs, 100 patients and 100 members of self-help groups) who will be asked to rate how the decision should be made. Main outcome measure is the preference for participation in the decision making process in the given clinical situation.Data analysis will estimate the effects of the factors on the rating and also examine differences between groups.DiscussionThe results will reveal the effects of situational variations on participation preferences. Thus, our findings will contribute to the understanding of normative values in the medical decision making process and will improve future implementation of SDM and decision aids.

Highlights

  • Up to now it has not been systematically investigated in which kind of clinical situations a consultation style based on shared decision making (SDM) is preferred by patients and physicians

  • The results will reveal the effects of situational variations on participation preferences

  • Our findings will contribute to the understanding of normative values in the medical decision making process and will improve future implementation of SDM and decision aids

Read more

Summary

Discussion

The findings of this factorial survey study will reflect normative values related to medical decision making. They will reveal the effect of situational variations on consultation style preferences. The results might help physicians to adapt their consultation style to individual patients and to individual treatment situations. We hope to encourage researchers of the effects of SDM to incorporate situational factors into their study designs. A pure top-down approach to meso- and macro-level-decisions in health care is becoming less acceptable. Factorial survey designs can make an invaluable contribution, since opinions, interests and values of multiple stakeholders are systematically assessed to inform policy decisions in health care

Background
Methods/design
Wish of the patient to participate
16. McKinstry B
21. Lauder W
24. Feitelson E
28. Ludwick R
34. Collins D
40. Dülmer H: Experimental plans in factorial surveys
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call