Patient readiness for shared decision making about treatment

In this thesis we examined patient readiness for shared decision making (SDM) about treatment. We first assessed associations between patient-related characteristics and the occurrence of SDM. Overall, we did not find consistent associations between characteristics such as age or education level, and the extent to which SDM occurred (measured from the perspective of patients, clinicians, or observers). Second, we assessed what patients need to be ready, i.e., enabled and well-equipped, to participate in SDM about treatment. We identified a wide range of skills, cognitions, and emotions. For instance, patients need to be able to understand the relevant information, be able to and dare to express themselves in consultations with clinicians, and experience an adequate amount of time to talk to clinicians and to consider the options. Finally, we developed a questionnaire, the ReadySDM. The aim of the ReadySDM is to retrospectively measure the extent to which patients felt ready for SDM during a treatment decision-making process. The questionnaire has the potential to identify novel insights into patients’ support needs and ways to enhance SDM in daily practice. ZonMW, KWFLUMC / Geneeskund

What makes a patient ready for shared decision making?: A qualitative study

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 patientand 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. (C) 2020 The Authors. Published by Elsevier B.V.Analysis and support of clinical decision makin

Relieving patients' pain with expectation interventions: a meta-analysis

Patients' expectations are important predictors of the outcome of analgesic treatments, as demonstrated predominantly in research on placebo effects. Three commonly investigated interventions that have been found to induce expectations (verbal suggestion, conditioning, and mental imagery) entail promising, brief, and easy-to-implement adjunctive procedures for optimizing the effectiveness of analgesic treatments. However, evidence for their efficacy stems mostly from research on experimentally evoked pain in healthy samples, and these findings might not be directly transferable to clinical populations. The current meta-analysis investigated the effects of these expectation inductions on patients' pain relief. Five bibliographic databases were systematically searched for studies that assessed the effects of brief verbal suggestion, conditioning, or imagery interventions on pain in clinical populations, with patients experiencing experimental, acute procedural, or chronic pain, compared with no treatment or control treatment. Of the 15,955 studies retrieved, 30 met the inclusion criteria, of which 27 provided sufficient data for quantitative analyses. Overall, a medium-sized effect of the interventions on patients' pain relief was observed (Hedges g = 0.61, I = 73%), with varying effects of verbal suggestion (k = 18, g = 0.75), conditioning (always paired with verbal suggestion, k = 3, g = 0.65), and imagery (k = 6, g = 0.27). Subset analyses indicated medium to large effects on experimental and acute procedural pain and small effects on chronic pain. In conclusion, patients' pain can be relieved with expectation interventions; particularly, verbal suggestion for acute procedural pain was found to be effective

How are patient-related characteristics associated with shared decision-making about treatment? A scoping review of quantitative studies

Objectives To identify what patient-related characteristics have been reported to be associated with the occurrence of shared decision-making (SDM) about treatment. Design Scoping review. Eligibility criteria Peer-reviewed articles in English or Dutch reporting on associations between patient-related characteristics and the occurrence of SDM for actual treatment decisions. Information sources COCHRANE Library, Embase, MEDLINE, PsycInfo, PubMed and Web of Science were systematically searched for articles published until 25 March 2019. Results The search yielded 5289 hits of which 53 were retained. Multiple categories of patient characteristics were identified: (1) sociodemographic characteristics (eg, gender), (2) general health and clinical characteristics (eg, symptom severity), (3) psychological characteristics and coping with illness (eg, self-efficacy) and (4) SDM style or preference. Many characteristics showed no association or unclear relationships with SDM occurrence. For example, for female gender positive, negative and, most frequently, non-significant associations were seen. Conclusions A large variety of patient-related characteristics have been studied, but for many the association with SDM occurrence remains unclear. The results will caution often-made assumptions about associations and provide an important step to target effective interventions to foster SDM with all patients.Analysis and support of clinical decision makin

How are patient-related characteristics associated with shared decision-making about treatment? A scoping review of quantitative studies

Objectives To identify what patient-related characteristics have been reported to be associated with the occurrence of shared decision-making (SDM) about treatment. Design Scoping review. Eligibility criteria Peer-reviewed articles in English or Dutch reporting on associations between patient-related characteristics and the occurrence of SDM for actual treatment decisions. Information sources COCHRANE Library, Embase, MEDLINE, PsycInfo, PubMed and Web of Science were systematically searched for articles published until 25 March 2019. Results The search yielded 5289 hits of which 53 were retained. Multiple categories of patient characteristics were identified: (1) sociodemographic characteristics (eg, gender), (2) general health and clinical characteristics (eg, symptom severity), (3) psychological characteristics and coping with illness (eg, self-efficacy) and (4) SDM style or preference. Many characteristics showed no association or unclear relationships with SDM occurrence. For example, for female gender positive, negative and, most frequently, non-significant associations were seen. Conclusions A large variety of patient-related characteristics have been studied, but for many the association with SDM occurrence remains unclear. The results will caution often-made assumptions about associations and provide an important step to target effective interventions to foster SDM with all patients