Measuring shared decision making in oncology: Development and first testing of the iSHAREpatient and iSHAREphysician questionnaires
Health Expectations, vol. 23, pp. 496–508
Abstract
BACKGROUND: Existing measures to assess shared decision making (SDM) have often been developed based on an ill-defined underlying construct, and many assess physician behaviours only or focus on a single patient-physician encounter. OBJECTIVE: To (a) develop a patient and a physician questionnaire to measure SDM in oncology and (b) determine their content validity and comprehensibility. METHODS: A systematic review of SDM models and an oncology-specific SDM model informed the domains of the SDM construct. We formulated items for each SDM domain. Cancer patients and physicians rated content validity in an online questionnaire. We assumed a formative measurement model and performed online field-testing in cancer patients to inform further item reduction. We tested item comprehension in cognitive interviews with cancer patients and physicians. RESULTS: We identified 17 domains and formulated 132 items. Twelve cancer patients rated content validity at item level, and 11 physicians rated content validity at domain level. We field-tested the items among 131 cancer patients and conducted cognitive interviews with eight patients and five physicians. These phases resulted in the 15-item iSHAREpatient and 15-item iSHAREphysician questionnaires, covering 13 domains. CONCLUSIONS: We thoroughly developed the iSHARE questionnaires. They both assess patient and physician behaviours and cover the entire SDM process rather than a single consultation.
Authors 6
-
Leiden University Medical Center
Affiliation as printed
Medical Decision Making Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
-
Leiden University Medical Center
Affiliation as printed
Medical Decision Making Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
-
Leiden University Medical Center
Affiliation as printed
Medical Decision Making Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
-
Maastricht University · Care and Public Health Research Institute
Affiliation as printed
Department of Family Medicine CAPHRI School for Care and Public Health Research Institute Maastricht University Maastricht The Netherlands
Department of Family Medicine, CAPHRI School for Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
-
Leiden University Medical Center
Affiliation as printed
Medical Decision Making Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
-
Arwen H. Pieterse 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
Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
Cited by 13 stored of 15
13 results
No patents citing this paper on Lens.org (checked 2026-10-11).