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Related Experiment Video

Updated: Jun 3, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Patient preferences for shared decisions: a systematic review.

Betty Chewning¹, Carma L Bylund, Bupendra Shah

¹Sonderegger Research Center, University of Wisconsin School of Pharmacy, Madison, WI 53705-2222, USA. bachewning@pharmacy.wisc.edu

Patient Education and Counseling

|April 9, 2011

Summary

Most patients prefer shared decision-making with their doctors. This preference has increased over time, with patient decision role preferences varying by measure and population characteristics.

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Last Updated: Jun 3, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Area of Science:

Health Services Research
Patient-Centered Care
Medical Decision-Making

Background:

Understanding patient preferences for decision-making roles is crucial for effective healthcare.
Previous research has explored patient roles in treatment and screening decisions.

Purpose of the Study:

To review empirical literature on patient decision role preferences.
To summarize patient role preferences across different measures, time periods, and patient populations.

Main Methods:

A systematic review of 115 studies published in English from January 1980 to December 2007.
Searches were conducted across five major databases: Ovid MEDLINE, Cochrane Database of Systematic Reviews, PsychInfo, Web of Science, and PubMed.
Eligible studies measured patient decision role preferences and reported findings quantitatively.

Main Results:

The majority of patients (63%) preferred sharing decision-making roles with physicians.
A notable time trend showed an increase in shared decision-making preferences, from 50% before 2000 to 71% from 2000 onwards.
Patient population characteristics and the specific measures used influenced reported preferences.

Conclusions:

Patient decision role preferences are not uniform and are influenced by the measurement tools employed.
The time of publication and patient population characteristics are significant factors affecting preferences.
It is essential to consider the measurement instrument when interpreting patient preferences for decision-making roles.