Literature DB >> 26473560

Decision Aid Use in Primary Care: An Overview and Theory-Based Framework.

Cameron G Shultz1, Masahito Jimbo.   

Abstract

BACKGROUND AND OBJECTIVES: Increasing patients' participation in health care is a commonly cited goal. While patient decision aids can promote participation, they remain underutilized. Theory-based models that assess barriers and facilitators to sustained decision aid use are needed. The ready, willing, and able model specifies three preconditions for behavioral change. We present a descriptive analysis of the uptake of patient decision aids in the primary care setting and show how the ready, willing, and able model can be used to identify potential barriers and facilitators.
METHODS: An Ovid Medline literature search from January 2004 to November 2014 was used; additional sources were identified from reference lists and through peer consultations. Barriers and facilitators to decision aid use were identified and grouped into salient themes.
RESULTS: The ready, willing, and able model provided a simple yet practical framework for identifying the mechanisms that facilitate (or work against) the adoption of patient decision aids within primary care. While time was a prominent barrier, additional barriers such as perceived legitimacy, clinic capacity, processes of care, and the overarching health care environment were also noted.
CONCLUSIONS: The ready, willing, and able model posits that several preconditions must first be satisfied before sustained use of patient decision aids can take hold. By pinpointing bottlenecks, the model can inform policies and tailored interventions to target identified problems. Using the model to troubleshoot for bottlenecks prior to the implementation of a decision aid could help to improve uptake and sustained use within the primary care setting.

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Year:  2015        PMID: 26473560

Source DB:  PubMed          Journal:  Fam Med        ISSN: 0742-3225            Impact factor:   1.756


  8 in total

1.  Continuation or deprescribing of proton pump inhibitors: A consult patient decision aid.

Authors:  Wade Thompson; Barbara Farrell; Vivian Welch; Peter Tugwell; Cynthia Way; Lisa Richardson; Lise M Bjerre
Journal:  Can Pharm J (Ott)       Date:  2018-12-17

2.  Harnessing Information Technology to Inform Patients Facing Routine Decisions: Cancer Screening as a Test Case.

Authors:  Alex H Krist; Steven H Woolf; Camille Hochheimer; Roy T Sabo; Paulette Kashiri; Resa M Jones; Jennifer Elston Lafata; Rebecca S Etz; Shin-Ping Tu
Journal:  Ann Fam Med       Date:  2017-05       Impact factor: 5.166

3.  Primary Care Provider Views About Usefulness and Dissemination of a Web-Based Depression Treatment Information Decision Aid.

Authors:  Julie Beaulac; Robin Westmacott; John R Walker; Gohar Vardanyan
Journal:  J Med Internet Res       Date:  2016-06-08       Impact factor: 5.428

4.  Barriers and facilitators to orthopaedic surgeons' uptake of decision aids for total knee arthroplasty: a qualitative study.

Authors:  Samantha Bunzli; Elizabeth Nelson; Anthony Scott; Simon French; Peter Choong; Michelle Dowsey
Journal:  BMJ Open       Date:  2017-11-12       Impact factor: 2.692

5.  Enhancing Doctors' Competencies in Communication With and Activation of Older Patients: The Promoting Active Aging (PRACTA) Computer-Based Intervention Study.

Authors:  Dorota Wlodarczyk; Joanna Chylińska; Magdalena Lazarewicz; Marta Rzadkiewicz; Mariusz Jaworski; Miroslawa Adamus; Gørill Haugan; Monica Lillefjell; Geir Arild Espnes
Journal:  J Med Internet Res       Date:  2017-02-22       Impact factor: 5.428

6.  Factors influencing implementation of a patient decision aid in a developing country: an exploratory study.

Authors:  Wen Ting Tong; Yew Kong Lee; Chirk Jenn Ng; Ping Yein Lee
Journal:  Implement Sci       Date:  2017-03-21       Impact factor: 7.327

Review 7.  Organizational- and system-level characteristics that influence implementation of shared decision-making and strategies to address them - a scoping review.

Authors:  Isabelle Scholl; Allison LaRussa; Pola Hahlweg; Sarah Kobrin; Glyn Elwyn
Journal:  Implement Sci       Date:  2018-03-09       Impact factor: 7.327

8.  Factors influencing implementation of an insulin patient decision aid at public health clinics in Malaysia: A qualitative study.

Authors:  Wen Ting Tong; Yew Kong Lee; Chirk Jenn Ng; Ping Yein Lee
Journal:  PLoS One       Date:  2020-12-30       Impact factor: 3.240

  8 in total

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