Dataset Information

Do collaboRATE Scores Reflect Differences in Perceived Shared Decision-Making Across Diverse Patient Populations? Evidence From a Large-Scale Patient Experience Survey in the United States.

ABSTRACT: Patient characteristics have been linked to prevalence and quality of shared decision-making (SDM) behaviors across diverse studies of varied size and focus. We aim to evaluate the extent to which patient characteristics are associated with patient-rated SDM scores as measured by collaboRATE and whether or not collaboRATE varies at the provider group level. We used the 2017 California Patient Assessment Survey data set, which included adult patients of 153 California-based medical groups receiving services between January and October 2016. Mixed-effects logistic regression evaluated relationships between collaboRATE scores and patient characteristics. We analyzed 31 265 total survey responses. Among included covariates, patients' health status, race, primary language, and mode of survey response were significantly associated with collaboRATE scores. Case-mix adjustment is common in healthcare quality measurement and can be useful in pay-for-performance systems. For those use cases, we recommend adjusting collaboRATE scores by patients' age, health status, gender, race, and language spoken at home, and survey response mode. However, when case-mix adjustment is not required, we suggest highlighting observed disparities across diverse patient populations to improve attention to inequities in patient experience.

SUBMITTER: Forcino RC

PROVIDER: S-EPMC7705838 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Do collaboRATE Scores Reflect Differences in Perceived Shared Decision-Making Across Diverse Patient Populations? Evidence From a Large-Scale Patient Experience Survey in the United States.

Forcino Rachel C RC Thygeson Marcus M O'Malley A James AJ Meinders Marjan J MJ Westert Gert P GP Elwyn Glyn G

Journal of patient experience 20191201 5

Patient characteristics have been linked to prevalence and quality of shared decision-making (SDM) behaviors across diverse studies of varied size and focus. We aim to evaluate the extent to which patient characteristics are associated with patient-rated SDM scores as measured by <b>collabo</b>RATE and whether or not <b>collabo</b>RATE varies at the provider group level. We used the 2017 California Patient Assessment Survey data set, which included adult patients of 153 California-based medical ...[more]

PMID: 33294615

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Project description:BackgroundTo describe vascular access (VA)-related decision-making from the patient perspective, in patients who have already chosen hemodialysis as their renal replacement modality, and identify areas where physicians can improve this experience.MethodsIn-person, semi-structured interviews with 15 patients with end-stage kidney disease were systematically analyzed by two independent researchers using thematic analysis. Interviews were conducted until systematic analysis revealed no new themes.ResultsPatients had mean age 57 (range 22-85), with seven males and diverse racial/ethnic/marital status. All (15/15) patients viewed VA as "intertwined and interrelated" with dialysis, prioritized the dialysis, described the VA merely as the "hookup" to life-preserving dialysis and gave it minimal consideration. Three themes were identified: consolidation of dialysis and VA, reliance on supportive advisors and communication with physicians. Although 14/15 patients described processes common to medical decision-making, including information seeking, learning from the experiences of others, and weighing risks and benefits, they did not apply these processes specifically to VA. While all participants took ownership of the VA decision, they lacked clear understanding about the different types of VA and their consequences. Most patients (14/15) depended on family and friends for reinforcement, motivation and advice. Patients all described physician characteristics they associated with trustworthiness, the most common being listening and explaining, demonstrating empathy and making an effort to meet the patient's individual needs. Perceived arrogance, unavailability and lack of expertise represented untrustworthiness. The majority (14/15) accepted VA recommendations from physicians they found trustworthy and authoritative.ConclusionsThe study participants were minimally engaged in VA decision-making. Educational aids and shared decision-making tools are needed to empower patients to make better-informed, self-efficacious VA decisions.

Project description:Background. Although effective interventions for shared decision making (SDM) exist, there is a lack of uptake of these tools into clinical practice. "Nudges," which draw on behavioral economics and target automatic thinking processes, are used by policy makers to influence population-level behavior change. Nudges have not been applied in the context of SDM interventions but have potential to influence clinician motivation, a primary barrier to long-term adoption of SDM tools. Objective. Describe, evaluate, and propose recommendations for the use of a behavioral economics framework (MINDSPACE) on clinician motivation and behavior during implementation of a validated decision aid (DA) for left ventricular assist device at nine hospitals. Methods. Qualitative thematic analysis of process notes from stakeholder meetings during the first 6 months of implementation to identify examples of how the MINDSPACE framework was operationalized. Quantitative implementation progress was evaluated using the RE-AIM framework. Results. MINDSPACE components were translated into concrete approaches that leveraged influential stakeholders, fostered ownership over the DA and positive emotional associations, spread desirable norms across sites, and situated the DA within established default processes. DA reach to eligible patients increased from 9.8% in the first month of implementation to 70.0% in the sixth month. Larger gains in reach were observed following meetings using MINDSPACE approaches. Limitations. The MINDSPACE framework does not capture all possible influences on behavior and responses to nudges may differ across populations. Conclusions. Behavioral economics can be applied to implementation science to foster uptake of SDM tools by increasing clinician motivation. Our recommendations can help other researchers effectively apply these approaches in real-world settings when there are often limited incentives and opportunities to change organizational- or structural-level factors.

Dataset Information

Do collaboRATE Scores Reflect Differences in Perceived Shared Decision-Making Across Diverse Patient Populations? Evidence From a Large-Scale Patient Experience Survey in the United States.

Publications

Do collaboRATE Scores Reflect Differences in Perceived Shared Decision-Making Across Diverse Patient Populations? Evidence From a Large-Scale Patient Experience Survey in the United States.

Similar Datasets

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