Dataset Information

PROSHADE Protocol: Designing and Evaluating a Decision Aid for Promoting Shared Decision Making in Opportunistic Screening for Prostate Cancer: A Mix-Method Study.

ABSTRACT: Background: Opportunistic prostate-specific antigen (PSA) screening may reduce prostate cancer mortality risk but is associated with false positive results, biopsy complications and overdiagnosis. Although different organisations have emphasised the importance of shared decision making (SDM) to assist men in deciding whether to undergo prostate cancer screening, recent evaluations show that the available decision aids fail to facilitate SDM, mainly because they do not consider the patients' perspective in their design. We aim to systematically develop and test a patient decision aid to promote SDM in prostate cancer screening, following the Knowledge to Action framework. Methods: (1) Feasibility study: a quantitative survey evaluating the population and clinician (urologists and general practitioners) knowledge of the benefits and risks derived from PSA determination and the awareness of the available recommendations. Focus groups to explore the challenges patients and clinicians face when discussing prostate cancer screening, the relevance of a decision aid and how best to integrate it into practice. (2) Patient decision aid development: Based on this data, an evidence-based multicomponent SDM patient decision aid will be developed. (3) User-testing: an assessment of the prototype of the initial patient decision aid through a user-testing design based on mix-methods (questionnaire and semi-structured review). The decision aid will be refined through several iterative cycles of feedback and redesign. (4) Validation: an evaluation of the patient decision aid through a cluster-randomised controlled trial. Discussion: The designed patient decision aid will provide balanced information on screening benefits and risks and should help patients to consider their personal preferences and to take a more active role in decision making. Conclusions: The well-designed patient decision aid (PDA) will provide balanced information on screening benefits and risks and help patients consider their personal preferences.

SUBMITTER: Lumbreras B

PROVIDER: S-EPMC9330901 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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PROSHADE Protocol: Designing and Evaluating a Decision Aid for Promoting Shared Decision Making in Opportunistic Screening for Prostate Cancer: A Mix-Method Study.

Lumbreras Blanca B Parker Lucy Anne LA Alonso-Coello Pablo P Mira-Bernabeu Javier J Gómez-Pérez Luis L Caballero-Romeu Juan Pablo JP Pertusa-Martínez Salvador S Cebrián-Cuenca Ana A Moral-Peláez Irene I López-Garrigós Maite M Canelo-Aybar Carlos C Ronda Elena E Guilabert Mercedes M Prieto-González Antonio A Hernández-Aguado Ildefonso I

International journal of environmental research and public health 20220722 15

<b>Background:</b> Opportunistic prostate-specific antigen (PSA) screening may reduce prostate cancer mortality risk but is associated with false positive results, biopsy complications and overdiagnosis. Although different organisations have emphasised the importance of shared decision making (SDM) to assist men in deciding whether to undergo prostate cancer screening, recent evaluations show that the available decision aids fail to facilitate SDM, mainly because they do not consider the patient ...[more]

PMID: 35897274

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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:ObjectiveThe objective was to develop a decision aid (DA) to facilitate shared decision making (SDM) around whether to obtain computed tomography (CT) imaging in patients presenting to the emergency department (ED) with suspected uncomplicated ureterolithiasis.MethodsWe used evidence-based DA development methods, including qualitative methods and iterative stakeholder engagement, to develop and refine a DA. Guided by the Ottawa Decision Support Framework, International Patient Decision Aid Standards (IPDAS), and a steering committee made up of stakeholders, we conducted interviews and focus groups with a purposive sample of patients, community members, emergency clinicians, and other stakeholders. We used an iterative process to code the transcripts and identify themes. We beta-tested the DA with patient-clinician dyads facing the decision in real time.ResultsFrom August 2018 to August 2019, we engaged 102 participants in the design and iterative refinement of a DA focused on diagnostic options for patients with suspected ureterolithiasis. Forty-six were ED patients, community members, or patients with ureterolithiasis, and the remaining were emergency clinicians (doctors, residents, advanced practitioners), researchers, urologists, nurses, or other physicians. Patients and clinicians identified several key decisional needs including an understanding of accuracy, uncertainty, radiation exposure/cancer risk, and clear return precautions. Patients and community members identified facilitators to SDM, such as a checklist of signs and symptoms. Many stakeholders, including both patients and ED clinicians, expressed a strong pro-CT bias. A six-page DA was developed, iteratively refined, and beta-tested.ConclusionsUsing stakeholder engagement and qualitative inquiry, we developed an evidence-based DA to facilitate SDM around the question of CT scan utilization in patients with suspected uncomplicated ureterolithiasis. Future research will test the efficacy of the DA in facilitating SDM.

Project description:BackgroundYoung adults ages 18 to 25 with first episode psychosis (FEP) have an increased risk of discontinuation antipsychotic medications and psychiatric service disengagement that lead to symptom exacerbation and deterioration. We seek to (1) examine the feasibility, usability, and potential impact of a Shared Decision Making (SDM) Antipsychotic Medication Decision Aid (DA) on decision-making, adherence to the decision made, and service engagement among young adults with FEP and (2) understand the role of additional patient-level factors on SDM.MethodsA randomized controlled trial is being conducted in a coordinated specialty care community program for FEP in an urban setting. Eligible patients are randomly assigned to receive an intervention, the Antipsychotic Medication Decision Aid, or treatment as usual. Patients receive their assigned intervention before their medication appointment with the psychiatrist and complete four interviews: before the appointment (T0), after the appointment (T1), and at 3- and 6-month follow-ups (T2 and T3). The study staff and participating psychiatrists are not blinded to the intervention. The data are de-identified to maintain blinding during the analysis process. The primary aims are feasibility of intervention delivery and research procedures and preliminary impact of the intervention on SDM-related outcomes, medication adherence, and service engagement. As a secondary aim, we will explore the contribution of personality and motivation variables, clinical relationships, cognitive functioning, and mental-health-related stigma to SDM. If the sample size permits, we plan to conduct parametric tests such as independent-samples t tests at T1 to compare differences in SDM, adherence, and engagement scales. In the case of a small sample size, we will use non-parametric tests and descriptive statistics.DiscussionThis protocol outlines the methodology for a feasibility pilot comparing the effect of a novel SDM Antipsychotic Medication encounter DA with treatment as usual on SDM, medication adherence, and service engagement in FEP care. SDM is endorsed as a framework for use in FEP and antipsychotic pharmacotherapy, but its impact on adherence and health outcomes is unclear. Understanding the potential contribution of an SDM Antipsychotic Medication DA compared with usual care in psychosis pharmacotherapy is critical. The study will help answer several key questions new to SDM research, including the contribution of personality and clinical relationships to SDM in mental health and psychosis in particular. The study will serve to gather feasibility data to inform future studies and scale-up.Trial registrationEthics approval was obtained through Temple University's institutional review board (IRB) and the City of Philadelphia's Department of Public Health IRB. The study has been retrospectively registered with ClinicalTrials.gov as NCT04373590 on 29 April 2020. https://clinicaltrials.gov/ct2/show/NCT04373590?term=NCT04373590&draw=2&rank=1.

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:BackgroundThere is little information about the functions and behavior change techniques (BCTs) needed to implement shared decision making (SDM) in clinical practice. To guide future implementation initiatives, we sought to develop a BCT taxonomy for SDM implementation interventions.MethodsThis study is a secondary analysis of a 2018 Cochrane review on interventions for increasing the use of shared decision making by healthcare professionals. We examined all 87 studies included in the review. We extracted relevant information on each study intervention into a spreadsheet. Coders had undergone a training workshop on intervention functions and online training on BCT Taxonomy version 1 (BCTTv1). We performed functions and BCTs coding trials, and identified coding rules. We used Michie's guide for designing behavior change interventions to code the functions and BCTs used in the interventions. Coders met to compare coding and discrepancies were discussed until consensus was reached. Data was analyzed using simple descriptive statistics.ResultsOverall, 7 functions, 24 combinations of functions and 32 BCTs were used in the 87 SDM implementation interventions. The mean of functions per intervention was 2.5 and the mean of BCTs per intervention was 3.7. The functions Coercion and Restriction were not found. The most common function was Education (73 studies). Three combinations of functions were most common (e.g: Education + Persuasion, used in 10 studies). The functions associated with more effective SDM implementation interventions were Modeling and Training. The most effective combination of functions was Education + Training + Modeling + Enablement. The most commonly used BCT was Instruction on how to perform the behavior (43 studies). BCTs associated with more effective SDM implementation interventions were: Instruction on how to perform the behavior, Demonstration of the behavior, Feedback on behavior, Pharmacological support, Material reward, and Biofeedback. Twenty-five BCTs were associated with less effective SDM implementation interventions. Four new BCTs were identified: General information to support the behavior, Tailoring, Exercises to conceptually prepare for the behavior, and Experience sharing and learning.ConclusionsWe established a BCT taxonomy specific to the field of SDM to guide future SDM implementation interventions. Four new BCTs should be added to BCTTv1.

Dataset Information

PROSHADE Protocol: Designing and Evaluating a Decision Aid for Promoting Shared Decision Making in Opportunistic Screening for Prostate Cancer: A Mix-Method Study.

Publications

PROSHADE Protocol: Designing and Evaluating a Decision Aid for Promoting Shared Decision Making in Opportunistic Screening for Prostate Cancer: A Mix-Method Study.

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