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Impact of an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes on decisional conflict--study protocol for a randomized controlled trial.

ABSTRACT: Competing health concerns present real obstacles to people living with diabetes and other chronic diseases as well as to their primary care providers. Guideline implementation interventions rarely acknowledge this, leaving both patients and providers feeling overwhelmed by the volume of recommended actions. Interprofessional (IP) shared decision-making (SDM) with the use of decision aids may help to set treatment priorities. We developed an evidence-based SDM intervention for patients with diabetes and other conditions that was framed by the IP-SDM model and followed a user-centered approach. Our objective in the present study is to pilot an IP-SDM and goal-setting toolkit following the Knowledge-to-Action Framework to assess (1) intervention fidelity and the feasibility of conducting a larger trial and (2) impact on decisional conflict, diabetes distress, health-related quality of life and patient assessment of chronic illness care.A two-step, parallel-group, clustered randomized controlled trial (RCT) will be conducted, with the primary goal being to assess intervention fidelity and the feasibility of conducting a larger RCT. The first step is a provider-directed implementation only; the second (after a 6-month delay) involves both provider- and patient-directed implementation. Half of the clusters will be assigned to receive the IP-SDM toolkit, and the other will be assigned to be mailed a diabetes guidelines summary. Individual interviews with patients, their family members and health care providers will be conducted upon trial completion to explore toolkit use. A secondary purpose of this trial is to gather estimates of the toolkit's impact on decisional conflict. Secondary outcomes include diabetes distress, quality of life and chronic illness care, which will be assessed on the basis of patient-completed questionnaires of validated scales at baseline and at 6 and 12 months. Multilevel hierarchical regression models will be used to account for the clustered nature of the data.An individualized approach to patients with multiple chronic conditions using SDM and goal setting is a desirable strategy for achieving guideline-concordant treatment in a patient-centered fashion. Our pilot trial will provide insights regarding strategies for the routine implementation of such interventions in clinical practice, and it will offer an assessment of the impact of this approach.Clinicaltrials.gov Identifier: NCT02379078. Date of Registration: 11 February 2015.

SUBMITTER: Yu CH

PROVIDER: S-EPMC4486130 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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Impact of an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes on decisional conflict--study protocol for a randomized controlled trial.

Yu Catherine H CH Ivers Noah M NM Stacey Dawn D Rezmovitz Jeremy J Telner Deanna D Thorpe Kevin K Hall Susan S Settino Marc M Kaplan David M DM Coons Michael M Sodhi Sumeet S Sale Joanna J Straus Sharon E SE

Trials 20150627

<h4>Background</h4>Competing health concerns present real obstacles to people living with diabetes and other chronic diseases as well as to their primary care providers. Guideline implementation interventions rarely acknowledge this, leaving both patients and providers feeling overwhelmed by the volume of recommended actions. Interprofessional (IP) shared decision-making (SDM) with the use of decision aids may help to set treatment priorities. We developed an evidence-based SDM intervention for ...[more]

PMID: 26116444

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Project description:BACKGROUND:Care of patients with diabetes often occurs in the context of other chronic illness. Competing disease priorities and competing patient-physician priorities present challenges in the provision of care for the complex patient. Guideline implementation interventions to date do not acknowledge these intricacies of clinical practice. As a result, patients and providers are left overwhelmed and paralyzed by the sheer volume of recommendations and tasks. An individualized approach to the patient with diabetes and multiple comorbid conditions using shared decision-making (SDM) and goal setting has been advocated as a patient-centred approach that may facilitate prioritization of treatment options. Furthermore, incorporating interprofessional integration into practice may overcome barriers to implementation. However, these strategies have not been taken up extensively in clinical practice. OBJECTIVES:To systematically develop and test an interprofessional SDM and goal-setting toolkit for patients with diabetes and other chronic diseases, following the Knowledge to Action framework. METHODS:1. Feasibility study: Individual interviews with primary care physicians, nurses, dietitians, pharmacists, and patients with diabetes will be conducted, exploring their experiences with shared decision-making and priority-setting, including facilitators and barriers, the relevance of a decision aid and toolkit for priority-setting, and how best to integrate it into practice.2. Toolkit development: Based on this data, an evidence-based multi-component SDM toolkit will be developed. The toolkit will be reviewed by content experts (primary care, endocrinology, geriatricians, nurses, dietitians, pharmacists, patients) for accuracy and comprehensiveness.3. Heuristic evaluation: A human factors engineer will review the toolkit and identify, list and categorize usability issues by severity.4. Usability testing: This will be done using cognitive task analysis.5. Iterative refinement: Throughout the development process, the toolkit will be refined through several iterative cycles of feedback and redesign. DISCUSSION:Interprofessional shared decision-making regarding priority-setting with the use of a decision aid toolkit may help prioritize care of individuals with multiple comorbid conditions. Adhering to principles of user-centered design, we will develop and refine a toolkit to assess the feasibility of this approach.

Project description:BackgroundBoth patients and surrogate decision-makers experience decisional conflict when making a major medical treatment decision with life or death implications. The relationship between health literacy and decisional conflict while making a major medical treatment decision is not understood.ObjectiveTo identify the prevalence of individuals making major medical treatment decisions for themselves or someone else and to explore the relationships between decisional conflict and circumstances of the decision as well as the decision-maker.DesignTwo-phase survey study: in phase 1, we screened for who made a major treatment decision; in phase 2, we asked eligible respondents about their experience making the decision.ParticipantsAddress-based random sample of 4000 Wisconsin residents; 1072 completed phase 1 and 464 completed phase 2.Main measuresWe asked respondents about types of decisions made, the most difficult decision made, and characteristics of the decision-maker and the decision. We included the Decisional Conflict Scale and four domains of the Health Literacy Questionnaire. Open-ended questions also allowed respondents to describe their experiences.Key resultsAbout 43% of respondents reported making a major medical treatment decision. Decisions about major surgery and life support were regarded as the most difficult decisions. Respondents who made the decision for a spouse/partner (β = 6.65, p = 0.012), parent (β = 9.27, p < 0.001), or someone else (β = 10.7, p < 0.001) had higher decisional conflict. Respondents who reported higher ability to actively engage with healthcare providers (β = - 5.24, p = 0.002) and to understand health information well enough to know what to do (β = - 6.12, p = 0.001) had lower decisional conflict.ConclusionsThe need to make major treatment decisions is likely to increase and making decisions on someone else's behalf appeared to be especially difficult. Improving communication to encourage patient and family engagement in the decision-making conversation, particularly for individuals with limited health literacy, may be helpful.

Project description:BackgroundClinicians face challenges in promoting colorectal cancer screening due to multiple competing demands. A decision aid that clarifies patient preferences and improves decision quality can aid shared decision making and be effective at increasing colorectal cancer screening rates. However, exactly how such an intervention improves shared decision making is unclear. This study, funded by the National Cancer Institute, seeks to provide detailed understanding of how an interactive decision aid that elicits patient's risks and preferences impacts patient-clinician communication and shared decision making, and ultimately colorectal cancer screening adherence.Methods/designThis is a two-armed single-blinded randomized controlled trial with the target of 300 patients per arm. The setting is eleven community and three academic primary care practices in Metro Detroit. Patients are men and women aged between 50 and 75 years who are not up to date on colorectal cancer screening. ColoDATES Web (intervention arm), a decision aid that incorporates interactive personal risk assessment and preference clarification tools, is compared to a non-interactive website that matches ColoDATES Web in content but does not contain interactive tools (control arm). Primary outcomes are patient uptake of colorectal cancer screening; patient decision quality (knowledge, preference clarification, intent); clinician's degree of shared decision making; and patient-clinician concordance in the screening test chosen. Secondary outcome incorporates a Structural Equation Modeling approach to understand the mechanism of the causal pathway and test the validity of the proposed conceptual model based on Theory of Planned Behavior. Clinicians and those performing the analysis are blinded to arms.DiscussionThe central hypothesis is that ColoDATES Web will improve colorectal cancer screening adherence through improvement in patient behavioral factors, shared decision making between the patient and the clinician, and concordance between the patient's and clinician's preferred colorectal cancer screening test. The results of this study will be among the first to examine the effect of a real-time preference assessment exercise on colorectal cancer screening and mediators, and, in doing so, will shed light on the patient-clinician communication and shared decision making 'black box' that currently exists between the delivery of decision aids to patients and subsequent patient behavior.Trial registrationClinicalTrials.gov ID NCT01514786.

Project description:ImportanceAlopecia areata (AA) is an autoimmune disorder of hair loss with a complex and evolving treatment landscape, making it an ideal setting for shared decision-making (SDM) between patients and physicians. Given the varying efficacy, experience, and risks of treatments for AA, we sought to evaluate patient preferences for SDM and the association of SDM with decisional regret.ObjectiveTo evaluate patient preferences for SDM and the association of SDM with decisional regret.Design, setting, and participantsA cross-sectional online survey using the validated SDMQ9 scale for shared decision-making and Decisional Regret Scale (DRS) was distributed using the National Alopecia Areata Foundation (NAAF) with the aim of assessing (1) patient preferences in SDM when making treatment decisions, (2) how patients perceived the last decision to have been made, (3) which components of SDM were incorporated into the last decision, and (4) decisional regret related to their last treatment decision. The survey was distributed from July 12, 2021, to August 2, 2021, and data analysis occurred from October 2021 to March 2022.Main outcomes and measuresPrimary outcomes included (1) patient preferences in incorporation of SDM, (2) how patients made their most recent treatment decision, (3) which components of SDM were incorporated into their most recent treatment decision measured with the validated SDMQ9, and (4) an assessment of decisional regret in relation to SDM components and the most recent treatment modality used by the patient as measured by the validated DRS.ResultsOf 1387 individuals who initiated the survey, 1074 completed it and were included in the analysis (77.4% completion rate). Overall, 917 respondents were women (85.4%). There were 5 American Indian or Alaska Native respondents (0.5%), 33 were Asian (3.1%), 112 Black or African American (10.4%), 836 White (77.8%), and 36 were multiracial (3.4%) or other (36 [3.4%]). The mean age (SD) was 49.3 (15.4) years. Most respondents preferred making the final treatment decision themselves after considering their physician's opinion (503 [46.8%]). Of those who preferred to make treatment decisions using SDM, most made the last AA treatment decision with their physician (596 [55%]; 95% CI, 53%-58%; P < .001). The components of SDM implemented by the patients' dermatologists most identified were the physician "explained the advantages and disadvantages of treatment options" (472 [44%]), and the physician "asked me which treatment option I prefer" (494 [45.9%]). Incorporation of SDM by physicians was generally associated with decreased decisional regret (all ORs with 95% CIs greater than 1.1; P < .01). The treatments associated with the lowest decisional regret were Janus kinase (JAK) inhibitors, followed by biologics, and deciding not to treat; whereas, the highest decisional regret was reported with anthralin and minoxidil.Conclusions and relevanceThe findings of this cross-sectional survey study suggest that patients with AA prefer to make treatment decisions with their dermatologist using SDM. When SDM is used, patients report less decisional regret, indicating that SDM may help improve the patient-reported quality of treatment decisions. Newer, more efficacious therapies such as JAK inhibitors may be related to lower decisional regret. Future studies should seek to devise solutions to implement SDM as the AA treatment landscape continues to evolve.

Dataset Information

Impact of an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes on decisional conflict--study protocol for a randomized controlled trial.

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Impact of an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes on decisional conflict--study protocol for a randomized controlled trial.

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