BackgroundTwo decades of research has established the positive effect of using patient-targeted decision support interventions: patients gain knowledge, greater understanding of probabilities and increased confidence in decisions. Yet, despite their efficacy, the effectiveness of these decision support interventions in routine practice has yet to be established; widespread adoption has not occurred. The aim of this review was to search for and analyze the findings of published peer-reviewed studies that investigated the success levels of strategies or methods where attempts were made to implement patient-targeted decision support interventions into routine clinical settings.MethodsAn electronic search strategy was devised and adapted for the following databases: ASSIA, CINAHL, Embase, HMIC, Medline, Medline-in-process, OpenSIGLE, PsycINFO, Scopus, Social Services Abstracts, and the Web of Science. In addition, we used snowballing techniques. Studies were included after dual independent assessment.ResultsAfter assessment, 5322 abstracts yielded 51 articles for consideration. After examining full-texts, 17 studies were included and subjected to data extraction. The approach used in all studies was one where clinicians and their staff used a referral model, asking eligible patients to use decision support. The results point to significant challenges to the implementation of patient decision support using this model, including indifference on the part of health care professionals. This indifference stemmed from a reported lack of confidence in the content of decision support interventions and concern about disruption to established workflows, ultimately contributing to organizational inertia regarding their adoption.ConclusionsIt seems too early to make firm recommendations about how best to implement patient decision support into routine practice because approaches that use a ‘referral model’ consistently report difficulties. We sense that the underlying issues that militate against the use of patient decision support and, more generally, limit the adoption of shared decision making, are under-investigated and under-specified. Future reports from implementation studies could be improved by following guidelines, for example the SQUIRE proposals, and by adopting methods that would be able to go beyond the ‘barriers’ and ‘facilitators’ approach to understand more about the nature of professional and organizational resistance to these tools. The lack of incentives that reward the use of these interventions needs to be considered as a significant impediment.

BackgroundA high quality decision requires that patients who meet clinical criteria for surgery are informed about the options (including non-surgical alternatives) and receive treatments that match their goals. The aim of this study was to evaluate the psychometric properties and clinical sensibility of a patient self report instrument, to measure the quality of decisions about total joint replacement for knee or hip osteoarthritis.MethodsThe performance of the Hip/Knee Osteoarthritis Decision Quality Instrument (HK-DQI) was evaluated in two samples: (1) a cross-sectional mail survey with 489 patients and 77 providers (study 1); and (2) a randomized controlled trial of a patient decision aid with 138 osteoarthritis patients considering total joint replacement (study 2). The HK-DQI results in two scores. Knowledge items are summed to create a total knowledge score, and a set of goals and concerns are used in a logistic regression model to develop a concordance score. The concordance score measures the proportion of patients whose treatment matched their goals. Hypotheses related to acceptability, feasibility, reliability and validity of the knowledge and concordance scores were examined.ResultsIn study 1, the HK-DQI was completed by 382 patients (79%) and 45 providers (58%), and in study 2 by 127 patients (92%), with low rates of missing data. The DQI-knowledge score was reproducible (ICC = 0.81) and demonstrated discriminant validity (68% decision aid vs. 54% control, and 78% providers vs. 61% patients) and content validity. The concordance score demonstrated predictive validity, as patients whose treatments were concordant with their goals had more confidence and less regret with their decision compared to those who did not.ConclusionsThe HK-DQI is feasible and acceptable to patients. It can be used to assess whether patients with osteoarthritis are making informed decisions about surgery that are concordant with their goals.

Shared decision making (SDM), which accommodates patient preferences and values in making decisions about their care, has been used extensively in adult health care, but less so in pediatrics. SDM in pediatrics differs since parents' involvement in decision making changes as children mature and become increasingly capable of informed decision making. This pilot and feasibility study evaluated an SDM approach to 2 pediatric treatment decisions: allergen immunotherapy for children with environmental allergies and spinal fusion surgery for children with scoliosis (curved spine) as a result of severe neuromuscular conditions. Fifteen patients with environmental allergies and 11 with neuromuscular scoliosis participated along with their parents. Families reviewed carefully constructed decision aids for the respective conditions, which were designed to enhance the quality of their decision making, provide information about the options and outcomes, and help clarify their personal values and preferences. Pre-post comparisons indicated significant increases in parental knowledge of treatment information for their child's condition. Additional measures indicated high satisfaction with the SDM intervention and better decision quality (alignment of values and choice) for both conditions. Clinicians were also highly satisfied with the intervention. Exploratory findings suggested better engagement with allergen immunotherapy for children who experienced SDM relative to similar patients who did not. Completion of follow-up measures was poor, especially among those who decided against the treatment option under consideration. The results support the feasibility, acceptability, and effectiveness of SDM in pediatrics. Future approaches to increasing retention and maximizing effectiveness of SDM interventions in pediatrics are discussed.

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