scholarly journals Psychometric Evaluation of the Japanese 9-Item Shared Decision-Making Questionnaire and Its Association with Decision Conflict and Patient Factors in Japanese Primary Care

JMA Journal ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 208-215
2021 ◽  
Author(s):  
Sara Romero ◽  
Patrick Raue ◽  
Andrew Rasmussen

The shared decision-making (SDM) model is the optimal patient-centered approach to reduce racial and ethnic health disparities in primary care settings. This study examined decision-making preferences and the desire to be knowledgeable of health-related information of a multiheritage group of depressed older Latinx primary care patients. The primary aim was to determine differences in treatment preferences for both general medical conditions and depression and desire to be knowledgeable of health-related information between older Puerto Rican adults compared to older non-Puerto Rican Latinx adults. We also examined whether depression severity moderated those relationships. A sample of 178 older Latinx patients were assessed on measures of decision-making preferences, information-seeking desires, and depression severity. Regression models indicated depression severity moderated the relationship between Latinx heritage and decision-making preferences that relate to general medical decisions, but not depression treatment. Specifically, Puerto Ricans with high levels of depression preferred to be more active in making decisions related to general medical conditions compared to non-Puerto Rican patients who preferred less active involvement. There was no difference between groups at low levels of depression as both groups preferred to be similarly active in the decision-making process. This investigation adds to the literature by indicating between-group differences within a Latinx older adult sample regarding decision-making preferences and the desire to be informed of health-related information. Future research is needed to identify other sociocultural characteristics that contribute to this disparity between Latinx heritage groups in their desires to participate in the decision-making process with their primary care provider.


2016 ◽  
Vol 20 (2) ◽  
pp. 298-308 ◽  
Author(s):  
Catherine Hyde ◽  
Kate M. Dunn ◽  
Adele Higginbottom ◽  
Carolyn A. Chew-Graham

2013 ◽  
Vol 32 (2) ◽  
pp. 268-275 ◽  
Author(s):  
Mark W. Friedberg ◽  
Kristin Van Busum ◽  
Richard Wexler ◽  
Megan Bowen ◽  
Eric C. Schneider

2005 ◽  
Vol 96 (9) ◽  
pp. 1209-1210 ◽  
Author(s):  
Suzanne K. Steginga ◽  
Carole Pinnock ◽  
Claire Jackson ◽  
Tony Gianduzzo

2010 ◽  
Vol 30 (6) ◽  
pp. 745-758 ◽  
Author(s):  
Russell E. Glasgow

Background . Diabetes self-management presents a series of challenging tasks, and primary care, where the majority of cases of adult diabetes are treated, is hard-pressed to address these issues given competing demands. This article discusses how interactive media (IM) can be used to support diabetes self-management. Methods . Following a brief review of the literature, the 5 As framework for enhancing the effectiveness of health behavior counseling and the RE-AIM model for estimating and enhancing public health impact are used to frame discussion of the strengths and limitations of IM for diabetes shared decision making and self-management support. Results . Data and lessons learned from a series of randomized trials of IM for diabetes self-management education are summarized around 2 key issues. The first is enhancing patient engagement in decision making and includes enhancing user experience and engagement, improving quality of care, and promoting collaborative action planning and follow-up. The second is getting such resources into place and sustaining them in real-world primary care settings and involves enhancing participation at patient, clinician, and health care system levels and enhancing the generalizability of results. Conclusions . Key opportunities for IM to support diabetes self-management include assessment of information for shared decision making, assistance with problem-solving self-management challenges, and provision of follow-up support. A key current challenge is the linkage of IM supports to the rest of the patient’s care, and collection of cost-effectiveness data is a key need for future research.


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