Shared decision making in athletes with cardiovascular disease: what we can learn from a masters athlete

2021 ◽  
Vol 14 (12) ◽  
pp. e245822
Author(s):  
Roshan Patel ◽  
Susil Pallikadavath ◽  
Matthew P M Graham-Brown ◽  
Anvesha Singh
Keyword(s):  
Atrial Fibrillation ◽  
Decision Making ◽  
Shared Decision Making ◽  
Sinus Bradycardia ◽  
Ventricular Rate ◽  
Shared Decision ◽  
Patient Request ◽  
Masters Athlete ◽  
History Of

A 75-year-old male cyclist began suffering from palpitations on exertion. Symptoms terminated spontaneously with cessation of physical activity. The episodes caused significant distress with an impact on physical performance and quality of life. An echocardiogram showed a dilated left atrium, and an exercise ECG demonstrated that episodes of atrial fibrillation developed when his ventricular rate was above 140 beats per minute. Rate control could not be offered due to a history of sinus bradycardia nor rhythm control due to low likelihood of success. Anticoagulant therapy was commenced but discontinued at patient request as he considered risks to outweigh benefits given his desire to continue cycling. Management of athletes with atrial fibrillation is based on guidelines for the general population; however, treatment goals for athletes may differ. Shared decision making is essential to allow patients to make informed decisions about their care, accepting that individuals view treatment risks and benefits differently.

Use of an Atrial Fibrillation Medication Decision Aid Improves Knowledge and Process for Decision Making (Preprint)

2018 ◽  
Author(s):  
Molly Beinfeld ◽  
Suzanne Brodney ◽  
Michael Barry ◽  
Erika Poole ◽  
Adam Kunin
Keyword(s):  
Atrial Fibrillation ◽  
Decision Making ◽  
Shared Decision Making ◽  
Anticoagulant Therapy ◽  
Decision Aid ◽  
Response Rate ◽  
Intervention Group ◽  
Shared Decision ◽  
Community Based ◽  
Baseline Group

BACKGROUND A rural community-based Cardiology practice implemented shared decision making supported by an evidence-based decision aid booklet to improve the quality of anticoagulant therapy decisions in patients with atrial fibrillation. OBJECTIVE To develop a practical workflow for implementation of an anticoagulant therapy decision aid and to assess the impact on patients’ knowledge and process for anticoagulant medication decision making. METHODS The organization surveyed all patients with atrial fibrillation being seen at Copley Hospital to establish a baseline level of knowledge, certainty about the decision and process for decision making. The intervention surveys included the same knowledge, certainty, process and demographic questions as the baseline surveys, but also included questions asking for feedback on the decision aid booklet. Stroke risk scores (CHA2DS2-VASc score) were calculated by Copley staff for both groups using EMR data. RESULTS We received 46 completed surveys in the baseline group (64% response rate) and 50 surveys in the intervention group (72% response rate). The intervention group had higher knowledge score than the baseline group (3.6 out of 4 correct answers vs 3.1, p=0.036) and Decision Process Score (2.89 out of 4 vs 2.09, p=0.0023) but similar scores on the SURE scale (3.12 out of 4 vs 3.17, p=0.79). Knowledge and Process score differences were sustained even after adjusting for co-variates in stepwise linear regression analyses. Patients with high school or lower education appeared to benefit the most from shared decision making, as demonstrated by their knowledge scores. CONCLUSIONS It is feasible and practical to implement shared decision making supported by decision aids in a community-based Cardiology practice. Shared decision making can improve knowledge and process for decision making for patients with atrial fibrillation. CLINICALTRIAL None

Optimizing patient adherence to stroke rehabilitation: A mixed method telerehabilitation trial (Preprint)

2021 ◽  
Author(s):  
Isabelle Gaboury ◽  
Michel Tousignant ◽  
Hélène Corriveau ◽  
Matthew Menear ◽  
Guylaine Le Dorze ◽  
...  
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Stroke Rehabilitation ◽  
Patient Adherence ◽  
Interprofessional Collaboration ◽  
Interdisciplinary Collaboration ◽  
Control Group ◽  
Shared Decision ◽  
The Impact

BACKGROUND Strong evidence supports beginning stroke rehabilitation as soon as the patient’s medical status has stabilized and continuing following discharge from acute care. However, adherence to rehabilitation treatments over the rehabilitation phase has been shown to be suboptimal. OBJECTIVE Objective: The aim of this study is to assess the impact of a telerehabilitation platform on stroke patients’ adherence to a rehabilitation plan and on their level of reintegration to normal social activities, in comparison with usual care. The primary outcome is patient adherence to stroke rehabilitation (up to 12 weeks), which is hypothesized to influence reintegration to normal living. Secondary outcomes for patients include functional recovery and independence, depression, adverse events related to telerehabilitation, use of services (up to 6 months), perception of interprofessional shared decision making, and quality of services received. Interprofessional collaboration as well as quality of interprofessional shared decision making will be measured on clinicians. METHODS In this interrupted time series with a convergent qualitative component, rehabilitation teams will be trained to develop rehabilitation treatment plans that engage the patient and family, while taking advantage of a telerehabilitation platform to deliver the treatment. The intervention will entail 220 patients to receive stroke telerehabilitation with an interdisciplinary group of clinicians (telerehabilitation) versus face-to-face, standard of care (n = 110 patients). RESULTS Results: Our Research Ethics Board has approved the study in June 2020. Data collection for the control group is underway, with another year planned before we begin the intervention phase. CONCLUSIONS This study will contribute to minimize both knowledge and practice gaps, while producing robust, in-depth data on the factors related to the effectiveness of telerehabilitation in a stroke rehabilitation continuum. Findings will inform best practices guidelines regarding telecare services and the provision of telerehabilitation, including recommendations regarding effective interdisciplinary collaboration regarding stroke rehabilitation. CLINICALTRIAL ClinicalTrials.gov NCT04440215

Improving the Perception of Patient-Centered Wellness in a Virtual Population During the COVID-19 Pandemic

2021 ◽  
pp. JDNP-D-20-00078
Author(s):  
Sybilla Myers ◽  
Christopher Kennedy
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Shared Decision Making ◽  
Cognitive Theory ◽  
Well Being ◽  
Mobile App ◽  
Shared Decision ◽  
Patient Centered ◽  
The Social

BackgroundPerceived health-related quality of life (HRQOL) is fundamental to well-being and is a meaningful way to measure physical and mental health.Local ProblemNo standard method exists for measuring perceived HRQOL during the COVID-19 pandemic in participants as they attempt to improve their self-determined wellness goals. An implementation plan that considers the social distancing limitations imposed can be used to predict an individual’s likelihood of long-term success.MethodsDuring the four, 2-week plan-do-study-act (PDSA) cycles, the Social Cognitive Theory model informed the implementation of the four core interventions. To guide iterative changes, the data was analyzed through Excel and run charts.InterventionsThe four core interventions were the shared decision-making tool (SDMT), health mobile app tool (HMAT), wellness tracker tool (WTT), and the team engagement plan.ResultsAmong 28 participants, perceived quality of life increased by 70%, engagement in shared decision-making increased to 82%, app use and confidence increased to 85%, and goal attainment reached 81%.ConclusionsThe SDMT, health app, and wellness tracker created a methodical plan of accountability for increasing participant wellness. The contextual barrier of the COVID-19 pandemic added a negative wellness burden which was mitigated by creating a patient-centered culture of wellness.

scholarly journals Refusal to Travel in the National Ambulance Service. A Patient Care Report examination.

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Eamonn Byrne ◽  
Sasha Selby ◽  
Paul Gallen ◽  
Alan Watts
Keyword(s):  
Decision Making ◽  
Patient Care ◽  
Shared Decision Making ◽  
Vital Signs ◽  
Ambulance Service ◽  
Guidance Document ◽  
Shared Decision ◽  
Clinical Guidance ◽  
Decision Making Model

<p><strong>Introduction</strong></p><p>Every patient has the right to refuse treatment and, or transport (RTT) to hospital (1). The National Ambulance Service (NAS) has operated under a clinical guidance document that requires an assessment of patient capacity and a baseline amount of data to be gathered on every patient to facilitate the patient making an informed decision (2,3). An increase in the rate of non-conveyance of patients and refusal to travel calls as well as an increasing number of complaints prompted a quality improvement initiative based on improving and facilitating a shared decision-making model.</p><p><strong>Aim</strong></p><p>For patients who RTT, to establish a baseline quality of information collected and recorded on a Patient Care Report.</p><p><strong>Methods</strong></p><p>All NAS incidents closed with a refusal of treatment or transport, from 1<sup>st</sup> Jan 2017 to 9<sup>th</sup> November 2017 were identified from National Emergency Operation Centre (NEOC). A random selection of 75 Patient care reports (52 Paper and 23 Electronic) were identified and reviewed. Compliance with the refusal to travel guidance document was measured.</p><p><strong>Results</strong></p><p>31% of paper PCR’s reviewed were missing a complete set of vital signs. An average of 48.4 % (Median 48.4% Range 36.5% to 61.5%) were missing a complete second set of vital signs. 17.3% of combined forms were missing the patient’s chief complaint and 38.7% had no practitioner clinical impression entered. 24% had no capacity assessment completed.</p><p><strong>Conclusion</strong></p><p>Clinical information recorded by NAS staff did not meet the clinical guidance document requirements. It is impossible to assess what information was given to a patient to facilitate a shared decision-making model. The quality of NAS documentation can be improved for patients who refuse to travel.</p>

scholarly journals Assessment of Shared Decision-making for Stroke Prevention in Patients With Atrial Fibrillation

2020 ◽  
Vol 180 (9) ◽  
pp. 1215 ◽  
Author(s):  
Marleen Kunneman ◽  
Megan E. Branda ◽  
Ian G. Hargraves ◽  
Angela L. Sivly ◽  
Alexander T. Lee ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Decision Making ◽  
Shared Decision Making ◽  
Stroke Prevention ◽  
Shared Decision
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