Shared Decision Making in Cardiovascular Disease in the Outpatient Setting.
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ABSTRACT:
SUBMITTER: Case BC
PROVIDER: S-EPMC8301252 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Insufficient vaccination rates against pneumococcal disease are a major problem in primary health care, especially in adult patients. Shared decision-making (SDM) may address major barriers to vaccination. The objective of this review was to assess the impact of SDM on pneumococcal vaccination rates in adult patients. We conducted a systematic literature search in MEDLINE, EMBASE, CENTRAL, PsycINFO, and ERIC. RCTs and cluster RCTs were included, if they aimed to enhance pneumococcal vaccination rates in adult patients and comprised a personal interaction between health care provider (HCP) and patient. Three further aspects of the SDM process (patient activation, bi-directional exchange of information and bi-directional deliberation) were assessed. A meta-analysis was conducted for the effects of interventions on vaccination rates. We identified eight studies meeting the inclusion criteria. The pooled effect size was OR (95% CI): 2.26 (1.60-3.18) comparing intervention and control groups. Our findings demonstrate the efficacy of interventions that enable a SDM process to enhance pneumococcal vaccination rates; although, the quality of evidence was low. In exploratory subgroup analyses, we concluded that an impersonal patient activation and an exchange of information facilitated by nurses are sufficient to increase vaccination rates against pneumococcal disease in adult patients. However, the deliberation of options between physicians and patients seemed to be more effective than deliberation of options between nurses and patients.
| S-EPMC7729624 | biostudies-literature
Project description:ObjectiveElectronic health record (EHR)-based shared decision-making (SDM) and clinical decision support (CDS) systems can improve cardiovascular disease (CVD) care quality and risk factor management. Use of the CV Wizard system showed a beneficial effect on high-risk community health center (CHC) patients' CVD risk within an effectiveness trial, but system adoption was low overall. We assessed which multi-level characteristics were associated with system use.Materials and methodsAnalyses included 80 195 encounters with 17 931 patients with high CVD risk and/or uncontrolled risk factors at 42 clinics in September 2018-March 2020. Data came from the CV Wizard repository and EHR data, and a survey of 44 clinic providers. Adjusted, mixed-effects multivariate Poisson regression analyses assessed factors associated with system use. We included clinic- and provider-level clustering as random effects to account for nested data.ResultsLikelihood of system use was significantly higher in encounters with patients with higher CVD risk and at longer encounters, and lower when providers were >10 minutes behind schedule, among other factors. Survey participants reported generally high satisfaction with the system but were less likely to use it when there were time constraints or when rooming staff did not print the system output for the provider.DiscussionCHC providers prioritize using this system for patients with the greatest CVD risk, when time permits, and when rooming staff make the information readily available. CHCs' financial constraints create substantial challenges to addressing barriers to improved system use, with health equity implications.ConclusionResearch is needed on improving SDM and CDS adoption in CHCs.Trial registrationClinicalTrials.gov, NCT03001713, https://clinicaltrials.gov/.
| S-EPMC10005607 | biostudies-literature
Project description:ImportanceShared decision-making (SDM) is a key component of the provision of ethical care, but prior reviews have indicated that clinical practice guidelines seldom promote or facilitate SDM. It is currently unknown whether these findings extend to contemporary cardiovascular guidelines.ObjectiveTo identify and characterize integration of SDM in contemporary cardiovascular guideline recommendations using a systematic classification system.Design, setting, and participantsThis cross-sectional study assessed the latest guidelines or subsequent updates that included pharmacotherapy recommendations and were published between January 2012 and December 2022 by the American College of Cardiology (ACC), Canadian Cardiovascular Society (CCS), and European Society of Cardiology (ESC). Data were analyzed from February 21 to July 21, 2023.Main outcomes and measuresAll pharmacotherapy recommendations were identified within each guideline. Recommendations that incorporated SDM were rated according to a systematic rating framework to evaluate the quality of SDM incorporation based on directness (range, 1-3; assessing whether SDM was incorporated directly and impartially into the recommendation's text, with 1 indicating direct and impartial incorporation of SDM into the recommendation's text) and facilitation (range, A-D; assessing whether decision aids or quantified benefits and harms were provided, with A indicating that a decision aid quantifying benefits and harms was provided). The proportion of recommendations incorporating SDM was also analyzed according to guideline society and category (eg, general cardiology, heart failure).ResultsAnalyses included 65 guideline documents, and 33 documents (51%) incorporated SDM either in a general statement or within specific recommendations. Of 7499 recommendations, 2655 (35%) recommendations addressed pharmacotherapy, and of these, 170 (6%) incorporated SDM. By category, general cardiology guidelines contained the highest proportion of pharmacotherapy recommendations incorporating SDM (86 of 865 recommendations [10%]), whereas heart failure and myocardial disease contained the least (9 of 315 recommendations [3%]). The proportion of pharmacotherapy recommendations incorporating SDM was comparable across societies (ACC: 75 of 978 recommendations [8%]; CCS: 29 of 333 recommendations [9%]; ESC: 67 of 1344 recommendations [5%]), with no trend for change over time. Only 5 of 170 SDM recommendations (3%) were classified as grade 1A (impartial recommendations for SDM supported by a decision aid), whereas 114 of 170 recommendations (67%) were grade 3D (SDM mentioned only in supporting text and without any tools or information to facilitate SDM).Conclusions and relevanceIn this cross-sectional study across guidelines published by 3 major cardiovascular societies over the last decade, 51% of guidelines mentioned the importance of SDM, yet only 6% of recommendations incorporated SDM in any form, and fewer adequately facilitated SDM.
| S-EPMC10485733 | biostudies-literature
Project description:Shared decision-making (SDM) provides patient-centered care. However, the limited consultation time was the main factor hindering the application. Patient education is crucial in the process of SDM. The use of visual aids as health education materials is an effective way to improve patients' health literacy and medication adherence. This study aimed to determine the effectiveness of the clinician-created educational video of acne, accessed by patients during the waiting time, including knowledge level and satisfaction. This study was conducted in dermatology outpatient clinics and collected patient responses through electronic devices. During the waiting time, patients with acne would read educational pamphlets and complete the test first. Then, a clinician-created 8-minute educational video, as a patient decision aid (PDA), was accessed by patients using their own mobile smart devices, followed by a test and questionnaire about the satisfaction of the pamphlet and video. We enrolled 50 patients with acne, including 33 males and 17 females. The mean age is 25.55 ± 6.27 years old, ranging from 15 to 47 years old. About the patients' knowledge, the test score improved significantly after watching the video (P < .001). The same findings were observed in the subgroup analysis of gender and different age groups. A higher proportion of patients preferred the educational video over the pamphlet in both genders and different age groups. All patients agreed with the video helped them to understand the educational information and impressed them more than reading pamphlets. The application of clinician-created educational videos in patient education seems to be an efficient solution to implement SDM in the daily clinical work. Besides, we could remind patients to watch the video anytime when they were not sure about the treatment choices, side effects, or the precautions of medications.
| S-EPMC9269380 | biostudies-literature
Project description:BackgroundShared decision-making (SDM) is widely recommended and required by the Centers for Medicare and Medicaid for patients considering lung cancer screening (LCS).ObjectiveWe examined clinicians' communication practices and perceived barriers of SDM for LCS at three medical centers with established screening programs.DesignMulticenter qualitative study of clinicians participating in LCS.ApproachWe performed semi-structured interviews, which were transcribed and analyzed using directed content analysis, guided by a theoretical model of patient-clinician communication.ParticipantsWe interviewed 24 clinicians including LCS coordinators (2), pulmonologists (3), and primary care providers (17), 4 of whom worked for the LCS program, a thoracic surgeon, and a radiologist.ResultsAll clinicians agreed with the goal of SDM, to ensure the screening decision was congruent with the patient's values. The depth and type of information presented by each clinician role varied considerably. LCS coordinators presented detailed information including numeric estimates of benefit and harm. Most PCPs explained the process more generally, focusing on logistics and the high rate of nodule detection. No clinician explicitly elicited values or communication preferences. Many PCPs tailored the conversation based on their implicit understanding of patients' values and preferences, gained from past experiences. PCPs reported that time, lack of detailed personal knowledge of LCS, and patient preferences were barriers to SDM. Many clinicians perceived that a significant proportion of patients were not interested in specific percentages and preferred to receive a clinician recommendation.ConclusionsOur results suggest that clinicians support the goal of SDM for LCS decisions but PCPs may not perform some of its elements. The lack of completion of some elements, such as PCPs' lack of in-depth information exchange, may reflect perceived patient preferences for communication. As LCS is implemented, further research is needed to support a personalized, patient-centered approach to produce better outcomes.
| S-EPMC7018920 | biostudies-literature
Project description:There is limited information on gastroenterologists' perspectives of shared decision making (SDM) in discussions of therapeutic agents with inflammatory bowel disease (IBD) patients.To examine gastroenterologists' perspectives about SDM with IBD patients, using a novel statistical hybrid approach to analyze qualitative data.Physician interviews and online surveys were conducted from a panel of gastroenterologists in April 2012. Gastroenterologists were asked about their barriers to SDM, SDM practices, relationship to their patients, knowledge of SDM, and insights into SDM implementation. Key audio excerpts adapted from the interviews were used for moment-to-moment affect trace analysis in an online survey. Cluster analysis was used to segment gastroenterologists into mutually exclusive provider groups.One hundred and six gastroenterologists completed the survey (88 % male; 55 % ? 50 years of age). Over three-fourths of gastroenterologists were familiar with SDM (77 %). The vast majority of gastroenterologists (80 %) tried to use a form of SDM with their patients; only 12 % stated that they have a systematic, consistent, and formally documented approach to SDM. Three unique physician clusters were identified: SDM Believers (20 %, n = 20); SDM Skeptics (47 %, n = 47); and SDM Enthusiasts (34 %, n = 34). The three key barriers to practicing SDM were lack of the following: time (74 %), reimbursement (70 %), and tools (51 %). Twenty-two percent of gastroenterologists do not currently use SDM tools.Gastroenterologists lack the systematic approaches and tools for implementing SDM within their IBD practices. These data offer a foundation for future research in developing and testing SDM programs for gastroenterologists and their IBD patients.
| S-EPMC4541702 | biostudies-other
Project description:ObjectiveThe objective of this study is to determine the factors influencing pancreatic surgery patients' perceptions of the shared decision-making process (SDM).BackgroundDecision-making in pancreatic surgery is complicated by the risk of morbidity and mortality and risk of early recurrence of disease. Improvement in SDM has the potential to improve the receipt of goal- and value-concordant care.MethodsThis cross-sectional survey included patients who underwent pancreatic surgery. The following components were studied in relation to SDM: modified satisfaction with decision scale (SWD), modified decisional regret scale (DRS), quality of physician and patient interaction, and the impact of quality of life (FACT-Hep). Correlations were computed using Pearson's correlation score and a regression model.ResultsThe survey completion rate was 72.2% (of 40/55) and the majority (72.5%) of patients underwent pancreaticoduodenectomy. There were significant positive relationships between the SDM measure and (DRS, SWD; r = 0.70, P < 0.001) and responses to questions regarding how well the patient's actual recovery matched their expectations before treatment (r = 0.62, P < 0.001). The quality of the physician-patient relationship correlated with how well recovery matched expectations (r = 0.53, P = 0.002). SDM measure scores were significant predictors of the decision evaluation measure (R2(adj) = 0.48, P < 0.001), FACT-Hep (R2(adj) = 0.15, P < 0.001), and recovery expectations measure (R2(adj) = 0.37, P < 0.001).ConclusionsImproved SDM in pancreatic surgery is associated with more realistic recovery expectations, decreased decisional regret, and improved quality of life.
| S-EPMC10431427 | biostudies-literature
Project description:IntroductionPatients with advanced kidney disease (AKD) have to make difficult treatment modality decisions as their disease progresses towards end-stage kidney disease. International guidelines in nephrology suggest shared decision-making (SDM) to help patients make timely treatment modality decisions that align with their values and preferences. However, systematic reviews or scoping reviews on these SDM interventions and on their reported use or outcomes are lacking. This limits the adoption of SDM in clinical practice and hampers further research and development on the subject. Our aim is to provide a comprehensive and up-to-date overview of these SDM interventions by means of a scoping review of the literature. Scoping reviews can provide a broad overview of a topic, identify gaps in the research knowledge base and report on the types of evidence that address and inform practices. This paper presents our study protocol.Methods and analysisThe proposed scoping review will be performed in accordance with the Joanna Briggs Institute's (JBI) methodology for scoping reviews. It will cover both qualitative and quantitative scientific literature, as well as the grey literature on SDM interventions for treatment modality decisions in AKD. Only literature written in English will be considered for inclusion. Two independent reviewers will participate in an iterative process of screening the literature, paper selection and data extraction. Disagreements between the reviewers will be resolved by discussion until consensus is reached or after consultation with the research team when needed. Results will be reported with descriptive statistics and diagrammatic or tabular displayed information, accompanied by narrative summaries as explained in the JBI guidelines.Ethics and disseminationEthical approval for the conduct of this study is not required. We will analyse previously collected data for the proposed scoping review. Our results will be published in a peer-reviewed journal and disseminated through conferences and/or seminars.
| S-EPMC7050317 | biostudies-literature
Project description:ObjectivesTo explore older people's perspectives and experiences with shared decision-making (SDM) about medication for cardiovascular disease (CVD) prevention.Design, setting and participantsSemi-structured interviews with 30 general practice patients aged 75 years and older in New South Wales, Australia, who had elevated CVD risk factors (blood pressure, cholesterol) or had received CVD-related lifestyle advice. Data were analysed by multiple researchers using Framework analysis.ResultsTwenty eight participants out of 30 were on CVD prevention medication, half with established CVD. We outlined patient experiences using the four steps of the SDM process, identifying key barriers and challenges: Step 1. Choice awareness: taking medication for CVD prevention was generally not recognised as a decision requiring patient input; Step 2. Discuss benefits/harms options: CVD prevention poorly understood with emphasis on benefits; Step 3. Explore preferences: goals, values and preferences (eg, length of life vs quality of life, reducing disease burden vs risk reduction) varied widely but generally not discussed with the general practitioner; Step 4. Making the decision: overall preference for directive approach, but some patients wanted more active involvement. Themes were similar across primary and secondary CVD prevention, different levels of self-reported health and people on and off medication.ConclusionsResults demonstrate how older participants vary widely in their health goals and preferences for treatment outcomes, suggesting that CVD prevention decisions are preference sensitive. Combined with the fact that the vast majority of participants were taking medications, and few understood the aims and potential benefits and harms of CVD prevention, it seems that older patients are not always making an informed decision. Our findings highlight potentially modifiable barriers to greater participation of older people in SDM about CVD prevention medication and prevention in general.
| S-EPMC6475217 | biostudies-literature
Project description:Background. Accurate diagnosis of patients' preferences is central to shared decision making. Missing from clinical practice is an approach that links pretreatment preferences and patient-reported outcomes. Objective. We propose a Bayesian collaborative filtering (CF) algorithm that combines pretreatment preferences and patient-reported outcomes to provide treatment recommendations. Design. We present the methodological details of a Bayesian CF algorithm designed to accomplish 3 tasks: 1) eliciting patient preferences using conjoint analysis surveys, 2) clustering patients into preference phenotypes, and 3) making treatment recommendations based on the posttreatment satisfaction of like-minded patients. We conduct a series of simulation studies to test the algorithm and to compare it to a 2-stage approach. Results. The Bayesian CF algorithm and 2-stage approaches performed similarly when there was extensive overlap between preference phenotypes. When the treatment was moderately associated with satisfaction, both methods made accurate recommendations. The kappa estimates measuring agreement between the true and predicted recommendations were 0.70 (95% confidence interval = 0.052-0.88) and 0.73 (0.56-0.90) under the Bayesian CF and 2-stage approaches, respectively. The 2-stage approach failed to converge in settings in which clusters were well separated, whereas the Bayesian CF algorithm produced acceptable results, with kappas of 0.73 (0.56-0.90) and 0.83 (0.69-0.97) for scenarios with moderate and large treatment effects, respectively. Limitations. Our approach assumes that the patient population is composed of distinct preference phenotypes, there is association between treatment and outcomes, and treatment effects vary across phenotypes. Findings are also limited to simulated data. Conclusion. The Bayesian CF algorithm is feasible, provides accurate cluster treatment recommendations, and outperforms 2-stage estimation when clusters are well separated. As such, the approach serves as a roadmap for incorporating predictive analytics into shared decision making.
| S-EPMC7676870 | biostudies-literature