scholarly journals The Association Between Patients' eHealth Literacy and Satisfaction With Shared Decision-making and Well-being: Multicenter Cross-sectional Study (Preprint)

2020 ◽  
Author(s):  
Richard Huan Xu ◽  
Ling-Ming Zhou ◽  
Eliza Lai-Yi Wong ◽  
Dong Wang
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Regression Models ◽  
Well Being ◽  
Shared Decision ◽  
Background Characteristics ◽  
Cross Sectional ◽  
Ehealth Literacy ◽  
High Level ◽  
The Relationship

BACKGROUND Although previous studies have shown that a high level of health literacy can improve patients’ ability to engage in health-related shared decision-making (SDM) and improve their quality of life, few studies have investigated the role of eHealth literacy in improving patient satisfaction with SDM (SSDM) and well-being. OBJECTIVE This study aims to assess the relationship between patients’ eHealth literacy and their socioeconomic determinants and to investigate the association between patients’ eHealth literacy and their SSDM and well-being. METHODS The data used in this study were obtained from a multicenter cross-sectional survey in China. The eHealth Literacy Scale (eHEALS) and Investigating Choice Experiments Capability Measure for Adults were used to measure patients’ eHealth literacy and capability well-being, respectively. The SSDM was assessed by using a self-administered questionnaire. The Kruskal-Wallis one-way analysis of variance and Wilcoxon signed-rank test were used to compare the differences in the eHEALS, SSDM, and Investigating Choice Experiments Capability Measure for Adults scores of patients with varying background characteristics. Ordinary least square regression models were used to assess the relationship among eHealth literacy, SSDM, and well-being adjusted by patients’ background characteristics. RESULTS A total of 569 patients completed the questionnaire. Patients who were male, were highly educated, were childless, were fully employed, were without chronic conditions, and indicated no depressive disorder reported a higher mean score on the eHEALS. Younger patients (SSDM<sub>≥61 years</sub>=88.6 vs SSDM<sub>16-30 years</sub>=84.2) tended to show higher SSDM. Patients who were rural residents and were well paid were more likely to report good capability well-being. Patients who had a higher SSDM and better capability well-being reported a significantly higher level of eHealth literacy than those who had lower SSDM and poorer capability well-being. The regression models showed a positive relationship between eHealth literacy and both SSDM (<i>β</i>=.22; <i>P</i>&lt;.001) and well-being (<i>β</i>=.26; <i>P</i>&lt;.001) after adjusting for patients’ demographic, socioeconomic status, lifestyle, and health status variables. CONCLUSIONS This study showed that patients with a high level of eHealth literacy are more likely to experience optimal SDM and improved capability well-being. However, patients’ depressive status may alter the relationship between eHealth literacy and SSDM. CLINICALTRIAL

scholarly journals The Relationship Between Decisional Regret and Well-Being in Patients With and Without Depressive Disorders: Mediating Role of Shared Decision-Making

2021 ◽  
Vol 12 ◽  
Author(s):  
Richard Huan Xu ◽  
Ling-ming Zhou ◽  
Dong Wang
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Depressive Disorders ◽  
Southern China ◽  
Well Being ◽  
Shared Decision ◽  
Subjective Well Being ◽  
Cross Sectional Survey ◽  
The Relationship ◽  
Decisional Regret

Background: The objectives of this study were two-fold: (1) to assess the relationship between patients' decisional regret and their well-being and (2) to examine the mediated effect of shared decision-making (SDM) on this relationship.Methods: A cross-sectional survey was conducted in five cities in Southern China. Patients were asked to fill out questionnaires assessing their decisional regret, SDM, subjective well-being, and depressive status. Mediation analysis was used to investigate the effect of SDM on the relationship between patients' decisional regret and their subjective well-being.Results: The findings showed significant direct negative effects of decisional regret on subjective well-being and SDM. For non-depressive patients, SDM exerted a significant and indirect effect on reducing the negative influence of decisional regret on subjective well-being.Conclusions: Findings suggest that implementation of SDM can decrease patients' decisional regret and improve their well-being; however, there is a need to examine their depressive status as part of routine healthcare.

scholarly journals Association of Shared Decision Making with Inpatient Satisfaction: A Cross-Sectional Study

2020 ◽  
Author(s):  
Huiwen Luo ◽  
Guohua Liu ◽  
Jing Lu ◽  
Di Xue
Keyword(s):  
Decision Making ◽  
Patient Satisfaction ◽  
Shared Decision Making ◽  
Inpatient Care ◽  
Regression Models ◽  
Shared Decision ◽  
Physician Services ◽  
Cross Sectional ◽  
Medical Expenses ◽  
Tertiary Hospitals

Abstract Background: We assess inpatient perceived shared decision making (SDM) and test the association of SDM with inpatient satisfaction in public tertiary hospitals in Shanghai, China.Methods: A cross-sectional survey was conducted with 2585 inpatients in 47 public tertiary hospitals in Shanghai in July and August 2018. We assessed SDM overall and 4 aspects of SDM and tested the factors that influenced SDM and the association of SDM with patient satisfaction (patient satisfaction with physician services, medical expenses, outcomes and inpatient care overall), adopting multilevel mixed linear regression models.Results: The positive response rate (PRR) for SDM overall among the inpatients of public tertiary hospitals in Shanghai was high (95.30%), while the PRR for “My physician informed me of different treatment alternatives” was relatively low (88.63%). In addition, inpatients who underwent surgery during admission had higher PRRs and adjusted PRRs for SDM overall than those who did not undergo surgery (96.01% vs. 95.00% and 94.15% vs. 92.99%, respectively). Based on three-level mixed regression models, the study showed that inpatients with positive responses for SDM overall had higher adjusted satisfaction rates (SRs) for physician services, medical expenses, outcomes and inpatient care overall (98.89%, 91.73%, 98.44% and 97.34%, respectively) than those without positive responses (88.91%, 72.44%, 88.66% and 87.86%, respectively). The greatest differences in adjusted SRs between inpatients with or without positive responses for SDM were found for inpatient satisfaction with medical expenses and informed consent in SDM.Conclusions: Inpatient PRRs for SDM in public tertiary hospitals in Shanghai are high overall but are lower for information about alternatives. SDM can be affected by the SDM preference of both patients and physicians, medical condition, physician workload and professional requirements. Patient satisfaction with physician services, medical expenses, treatment outcomes and inpatient care overall can be improved through good SDM.

scholarly journals Evaluation of the Use of Shared Decision Making in Breast Cancer: International Survey

2021 ◽  
Vol 18 (4) ◽  
pp. 2128
Author(s):  
Marta Maes-Carballo ◽  
Manuel Martín-Díaz ◽  
Luciano Mignini ◽  
Khalid Saeed Khan ◽  
Rubén Trigueros ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Shared Decision Making ◽  
Health Professionals ◽  
Cross Sectional Study ◽  
Shared Decision ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Professional Societies ◽  
New Policies

Objectives: To assess shared decision-making (SDM) knowledge, attitude and application among health professionals involved in breast cancer (BC) treatment. Materials and Methods: A cross-sectional study based on an online questionnaire, sent by several professional societies to health professionals involved in BC management. There were 26 questions which combined demographic and professional data with some items measured on a Likert-type scale. Results: The participation (459/541; 84.84%) and completion (443/459; 96.51%) rates were high. Participants strongly agreed or agreed in 69.57% (16/23) of their responses. The majority stated that they knew of SDM (mean 4.43 (4.36–4.55)) and were in favour of its implementation (mean 4.58 (4.51–4.64)). They highlighted that SDM practice was not adequate due to lack of resources (3.46 (3.37–3.55)) and agreed on policies that improved its implementation (3.96 (3.88–4.04)). The main advantage of SDM for participants was patient satisfaction (38%), and the main disadvantage was the patients’ paucity of knowledge to understand their disease (24%). The main obstacle indicated was the lack of time and resources (40%). Conclusions: New policies must be designed for adequate training of professionals in integrating SDM in clinical practice, preparing them to use SDM with adequate resources and time provided.

Observer Ratings of Shared Decision Making Do Not Match Patient Reports: An Observational Study in 5 Family Medicine Practices

2020 ◽  
Vol 41 (1) ◽  
pp. 51-59
Author(s):  
Gisèle Diendéré ◽  
Imen Farhat ◽  
Holly Witteman ◽  
Ruth Ndjaboue
Keyword(s):  
Decision Making ◽  
Family Medicine ◽  
Risk Communication ◽  
Shared Decision Making ◽  
Cross Sectional Study ◽  
Clinical Encounter ◽  
Values Clarification ◽  
Shared Decision ◽  
Cross Sectional ◽  
Medical Consultations

Background Measuring shared decision making (SDM) in clinical practice is important to improve the quality of health care. Measurement can be done by trained observers and by people participating in the clinical encounter, namely, patients. This study aimed to describe the correlations between patients’ and observers’ ratings of SDM using 2 validated and 2 nonvalidated SDM measures in clinical consultations. Methods In this cross-sectional study, we recruited 238 complete dyads of health professionals and patients in 5 university-affiliated family medicine clinics in Canada. Participants completed self-administered questionnaires before and after audio-recorded medical consultations. Observers rated the occurrence of SDM during medical consultations using both the validated OPTION-5 (the 5-item “observing patient involvement” score) and binary questions on risk communication and values clarification (RCVC-observer). Patients rated SDM using both the 9-item Shared Decision-Making Questionnaire (SDM-Q9) and binary questions on risk communication and values clarification (RCVC-patient). Results Agreement was low between observers’ and patients’ ratings of SDM using validated OPTION-5 and SDM-Q9, respectively (ρ = 0.07; P = 0.38). Observers’ ratings using RCVC-observer were correlated to patients’ ratings using either SDM-Q9 ( rpb = −0.16; P = 0.01) or RCVC-patients ( rpb = 0.24; P = 0.03). Observers’ OPTION-5 scores and patients’ ratings using RCVC-questions were moderately correlated ( rφ = 0.33; P = 0.04). Conclusion There was moderate to no alignment between observers’ and patients’ ratings of SDM using both validated and nonvalidated measures. This lack of strong correlation emphasizes that observer and patient perspectives are not interchangeable. When assessing the presence, absence, or extent of SDM, it is important to clearly state whose perspectives are reflected.

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 US-based cross-sectional survey of clinicians’ knowledge and attitudes about shared decision-making across healthcare professions and specialties

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e022730 ◽  
Author(s):  
Rachel C Forcino ◽  
Renata West Yen ◽  
Maya Aboumrad ◽  
Paul J Barr ◽  
Danielle Schubbe ◽  
...  
Keyword(s):  
Decision Making ◽  
Family Medicine ◽  
Shared Decision Making ◽  
Nurse Practitioners ◽  
Physician Assistants ◽  
Shared Decision ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Knowledge And Attitudes ◽  
Positive Attitudes

ObjectiveIn this study, we aim to compare shared decision-making (SDM) knowledge and attitudes between US-based physician assistants (PAs), nurse practitioners (NPs) and physicians across surgical and family medicine specialties.SettingWe administered a cross-sectional, web-based survey between 20 September 2017 and 1 November 2017.Participants272 US-based NPs, PA and physicians completed the survey. 250 physicians were sent a generic email invitation to participate, of whom 100 completed the survey. 3300 NPs and PAs were invited, among whom 172 completed the survey. Individuals who met the following exclusion criteria were excluded from participation: (1) lack of English proficiency; (2) area of practice other than family medicine or surgery; (3) licensure other than physician, PA or NP; (4) practicing in a country other than the US.ResultsWe found few substantial differences in SDM knowledge and attitudes across clinician types, revealing positive attitudes across the sample paired with low to moderate knowledge. Family medicine professionals (PAs) were most knowledgeable on several items. Very few respondents (3%; 95% CI 1.5% to 6.2%) favoured a paternalistic approach to decision-making.ConclusionsRecent policy-level promotion of SDM may have influenced positive clinician attitudes towards SDM. Positive attitudes despite limited knowledge warrant SDM training across occupations and specialties, while encouraging all clinicians to promote SDM. Given positive attitudes and similar knowledge across clinician types, we recommend that SDM is not confined to the patient-physician dyad but instead advocated among other health professionals.

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