scholarly journals Shared decision-making in patient–doctor consultations – How does it relate to other patient-centred aspects and satisfaction?

2021 ◽  
pp. 147775092110158
Author(s):  
Helene Bodegård ◽  
Gert Helgesson ◽  
Daniel Olsson ◽  
Niklas Juth ◽  
Niels Lynøe

Background This study was designed to investigate how patient-reported shared decision-making relates to other aspects of patient centredness and satisfaction. Methods Questionnaire study with patients. Consecutive patients in primary care responding post visit. Associations are presented as proportions, positive predictive values, with 95% confidence intervals. Results 223 patient questionnaires were included. 62% (95% Confidence interval (CI): 55–69) of the patients indicated the highest possible rating of being involved in the decisions about their ongoing care (self-reported SDM). Self-reported SDM had a positive predictive value (PPV) of between 85% (CI: 77–90) and 95% (CI: 90–98) for five other patient-centred aspects and satisfaction. Conclusion The results suggest that shared decision making is the patient-centred aspect hardest to achieve and that a patient-centred process leading up to the decision-making increases the chance of the patient being involved in the decision-making.

Author(s):  
Vandana Menon ◽  
Caroline Huber ◽  
Alexandria Portelli ◽  
Marissa Baker-Wagner ◽  
Scott Kelley ◽  
...  

ObjectivesKnee osteoarthritis (OA) is a leading cause of health-related disability. In the absence of curative non-operative therapies, treatment goals are limited to symptom relief. Data are limited on how patients and physicians prioritise available treatment options. We assessed patients’ preferences for and physicians’ attitudes towards intra-articular treatments including corticosteroids (IACS), an extended-release corticosteroid (TA-ER) and hyaluronic acids (IAHA).MethodsWe conducted a prospective, IRB-exempt, double-blind survey of patients with and providers who treat knee OA. Respondents were required to have received or prescribed TA-ER in a non-trial setting. We evaluated patients’ OA history, impact of knee OA and treatment preferences, and physicians’ decision-making and prescribing experiences.ResultsOf the 97 patient participants, mean age was 56 years, 70.0% were women, 75.0% had bilateral knee OA and 46.4% were diagnosed over 5 years ago. Of the 50 physician participants, 34.0% were rheumatologists, 42.0% were orthopaedic surgeons and 60.0%, on average, treat 50+ patients with knee OA per month. Treatment selection factors considered ‘very important’ to patients and physicians included disease severity (88.7%, 82.0%), impact on quality of life (88.7%, 72.0%), disease extent (84.5%, 54.0%) and activity level (80.4%, 64.0%). A majority (93.8%) of patients indicated moderate to severe difficulty with their knees. Fewer patients (76.3%) reported shared decision making compared with physicians (92.0%). Half (50.5%) of the patients reported that they experienced months of pain relief with TA-ER, 27.7% with IACS and 18.8% with IAHA. Physician assessments were consistent but estimated a greater duration of treatment effects than that reported by patients across all therapies.ConclusionWhile knee OA has a tremendous impact on patients, there are significant unmet treatment needs. The increasing use of patient-reported outcomes will allow patients and physicians to track pain and functional status over time and across therapies, improving shared decision-making.


2021 ◽  
Author(s):  
Alysha Taxter ◽  
Lisa Johnson ◽  
Doreen Tabussi ◽  
Yukiko Kimura ◽  
Brittany Donaldson ◽  
...  

BACKGROUND Coproduction of care involves patients and families partnering with their clinicians and care teams, with the premise that each brings their own perspective, knowledge, and expertise, as well as their own values, goals, and preferences to the partnership. Dashboards can display meaningful patient and clinical data to assess how a patient is doing and inform shared decision making. Increasing communication between patients and care teams is particularly important for children with chronic conditions, such as juvenile idiopathic arthritis (JIA), which is the most common, chronic rheumatic condition of childhood, and is associated with increased pain, decreased function, and decreased quality of life. OBJECTIVE We aimed to design a dashboard prototype for use in coproducing care for JIA patients. We evaluated the context use and needs of end users, obtained consensus on the necessary dashboard data elements, and constructed display prototypes to inform meaningful discussions for coproduction. METHODS A human-centered design approach involving parents, patients, clinicians, and care team members was used to develop a dashboard to support coproduction of care in four diverse ambulatory pediatric rheumatology clinics across the United States. We engaged a multidisciplinary team (n=18) of patients/parents, clinicians, nurses, and staff during an in-person kick-off meeting, followed by bi-weekly meetings. We also leveraged advisory panels. Teams mapped workflows and patient journeys, created personas, and developed dashboard sketches. Final necessary dashboard components were determined using Delphi consensus voting. Low-tech dashboard testing was completed during clinic visits, and visual display prototypes were iterated using PDSA methodology. Patients and providers were surveyed about their experiences. RESULTS Teams achieved consensus on what data matters most at point-of-care to support JIA patients, families, and clinicians partnering together to make the best possible decisions for better health. Notable themes included: the right data, in the right place, at the right time; data in once for multiple purposes; patient and family self-management components; and opportunity for education and increased transparency. A final set of 11 dashboard data elements were identified which include patient-reported outcomes, clinical data, and medications. Important design considerations include incorporation of real-time data, clearly labeled graphs, and vertical orientation to facilitate review and discussion. Prototype paper testing with 36 patients/families yielded positive feedback about the dashboard’s usefulness during clinic discussions, helped to talk about what mattered most, and informed healthcare decision making. CONCLUSIONS Our study developed a dashboard prototype that displays patient-reported and clinical data over time, along with medications, that can be used during a clinic visit to support meaningful conversations and shared decision making between JIA patients/families and their clinicians and care teams. CLINICALTRIAL N/A


Author(s):  
Victor Okunrintemi ◽  
Erica Spatz ◽  
Joseph Salami ◽  
Paul D Capua ◽  
Haider Warraich ◽  
...  

Background: While it is well established that significant health outcome disparities exist across patients of varying socio-economic status (SES) with established atherosclerotic cardiovascular disease (ASCVD), disparities in patients’ healthcare experiences are not well investigated. We explore income level differences in four central tenets of patient-reported healthcare experience (access to care, provider communication, shared decision making and provider satisfaction) as measured by the Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey, in a nationally representative adult US population with established ASCVD. Methods: The study population consisted of 8223 individuals (age ≥ 18 years) representing 21.6 million with established ASCVD (self-reported or ICD-9 diagnosis) reporting a usual source of care in the 2010-2013 pooled Medical Expenditure Panel Survey (MEPS) cohort. We assessed the responses for each item as: a) difficult access to care (always/almost difficult), b) ineffective communication and shared decision making (never/sometimes), and c) poor provider satisfaction (lowest quartile on a scale of 0-10). We examined the relationship between scores in the lowest quartile of each domain composite scores, derived using the weighted average response from each items scores, with patients’ SES, using the high-income group as reference. Results: Lower SES was consistently associated with greater perceived difficulties in access, poor provider-patient communication, less shared decision making, as well as lower provider satisfaction (Table). Participants classified as poor vs. high income were 47% (95% CI 1.17-1.83) more likely to report difficulty accessing care, 39% (95% CI 1.09-1.78) and 26% (95% CI 0.99-1.60) reported a higher likelihood of experiencing poor communication and shared decision making respectively, as well as a 66% (95% CI 1.31-2.11) higher likelihood of reporting lower provider satisfaction. Conclusion: Among patients with established ASCVD, significant SES disparities exist in all domains of patient reported healthcare experience quality of care metrics. Targeted policies focusing on improving communication, engagement and satisfaction are needed to enhance patient healthcare experience among high-risk vulnerable populations.


2021 ◽  
Author(s):  
Sara Romero ◽  
Patrick Raue ◽  
Andrew Rasmussen

The shared decision-making (SDM) model is the optimal patient-centered approach to reduce racial and ethnic health disparities in primary care settings. This study examined decision-making preferences and the desire to be knowledgeable of health-related information of a multiheritage group of depressed older Latinx primary care patients. The primary aim was to determine differences in treatment preferences for both general medical conditions and depression and desire to be knowledgeable of health-related information between older Puerto Rican adults compared to older non-Puerto Rican Latinx adults. We also examined whether depression severity moderated those relationships. A sample of 178 older Latinx patients were assessed on measures of decision-making preferences, information-seeking desires, and depression severity. Regression models indicated depression severity moderated the relationship between Latinx heritage and decision-making preferences that relate to general medical decisions, but not depression treatment. Specifically, Puerto Ricans with high levels of depression preferred to be more active in making decisions related to general medical conditions compared to non-Puerto Rican patients who preferred less active involvement. There was no difference between groups at low levels of depression as both groups preferred to be similarly active in the decision-making process. This investigation adds to the literature by indicating between-group differences within a Latinx older adult sample regarding decision-making preferences and the desire to be informed of health-related information. Future research is needed to identify other sociocultural characteristics that contribute to this disparity between Latinx heritage groups in their desires to participate in the decision-making process with their primary care provider.


2020 ◽  
pp. 0272989X2097787
Author(s):  
K. D. Valentine ◽  
Ha Vo ◽  
Floyd J. Fowler ◽  
Suzanne Brodney ◽  
Michael J. Barry ◽  
...  

Background The Shared Decision Making (SDM) Process scale is a short patient-reported measure of the amount of SDM that occurs around a medical decision. SDM Process items have been used previously in studies of surgical decision making and exhibited discriminant and construct validity. Method Secondary data analysis was conducted across 8 studies of 11 surgical conditions with 3965 responses. Each study contained SDM Process items that assessed the discussion of options, pros and cons, and preferences. Item wording, content, and number of items varied, as did inclusion of measures assessing decision quality, decisional conflict (SURE scale), and regret. Several approaches for scoring, weighting, and the number of items were compared to identify an optimal approach. Optimal SDM Process scores were compared with measures of decision quality, conflict, and regret to examine construct validity; meta-analysis generated summary results. Results Although all versions of the scale were highly correlated, a short, partial credit, equally weighted version of the scale showed favorable properties. Overall, higher SDM Process scores were related to higher decision quality ( d = 0.18, P = 0.029), higher SURE scale scores ( d = 0.57, P < 0.001), and lower decision regret ( d = −0.34, P < 0.001). Significant heterogeneity was present in all validity analyses. Limitations Included studies all focused on surgical decisions, several had small sample sizes, and many were retrospective. Conclusion SDM Process scores showed resilience to coding changes, and a scheme using the short, partial credit, with equal weights was adopted. The SDM Process scores demonstrated a small, positive relationship with decision quality and were consistently related to lower decision conflict and less regret, providing evidence of validity across several surgical decisions.


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