What makes a patient ready for Shared Decision Making? A qualitative study

Patient Education and Counseling, vol. 104, pp. 571–577

Abstract

OBJECTIVES: Shared decision making (SDM) requires an active role from patients, which might be difficult for some. We aimed to identify what patients need to be ready (i.e., well-equipped and enabled) to participate in SDM about treatment, and what patient- and decision-related characteristics may influence readiness. METHODS: We conducted semi-structured interviews with patients and professionals (physicians, nurses, general practitioners, and researchers). Interviews were analyzed inductively. RESULTS: We identified five elements of patient readiness: 1) understanding of and attitude towards SDM, 2) health literacy, 3) skills in communicating and claiming space, 4) self-awareness, and 5) consideration skills. We identified 10 characteristics that may influence elements of readiness: 1) age, 2) cultural background, 3) educational background, 4) close relationships, 5) mental illness, 6) emotional distress, 7) acceptance of diagnosis, 8) clinician-patient relationship, 9) decision type, and 10) time. CONCLUSIONS: We identified a wide range of elements that may constitute patient readiness for SDM. Readiness might vary between and within patients. This variation may result from differences in patient- and decision-related characteristics. PRACTICE IMPLICATIONS: Clinicians should be aware that not all patients may be ready for SDM at a given moment and may need support to enhance their readiness.

Authors 4

1. Sascha M. Keij corresponding Aachen Medical Decision Making Department of Biomedical Data Sciences

   Leiden University Medical Center

   Affiliation as printed

   Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: s.m.keij@lumc.nl

   Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands

2. Nanny van Duijn‐Bakker Aachen Medical Decision Making Department of Biomedical Data Sciences

   Leiden University Medical Center

   Affiliation as printed

   Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: j.van_Duijn-Bakker@lumc.nl

   Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands

3. Anne Margarethe Stiggelbout Aachen Medical Decision Making Department of Biomedical Data Sciences Medical Decision Making Department of Biomedical Data Sciences

   Leiden University · Leiden University Medical Center

   Affiliation as printed

   Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: a.m.stiggelbout@lumc.nl

   Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands

4. Arwen H. Pieterse Aachen Medical Decision Making Department of Biomedical Data Sciences

   Leiden University Medical Center

   Affiliation as printed

   Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: a.h.pieterse@lumc.nl

   Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands