scholarly journals Patients’ eHealth literacy and its association with satisfaction in shared decision-making and well-being: A multi-center cross-sectional study (Preprint)

10.2196/26721 ◽  
2020 ◽  
Author(s):  
Richard Huan Xu ◽  
LingMing Zhou ◽  
Eliza Lai-Yi Wong ◽  
Dong Wang
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Well Being ◽  
Cross Sectional Study ◽  
Shared Decision ◽  
Sectional Study ◽  
Cross Sectional ◽  
Ehealth Literacy

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 Factors associated with shared decision making among primary care physicians: Findings from a multicentre cross-sectional study

2017 ◽  
Vol 21 (1) ◽  
pp. 212-221 ◽  
Author(s):  
Matthew Menear ◽  
Mirjam Marjolein Garvelink ◽  
Rhéda Adekpedjou ◽  
Maria Margarita Becerra Perez ◽  
Hubert Robitaille ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Shared Decision Making ◽  
Primary Care Physicians ◽  
Cross Sectional Study ◽  
Shared Decision ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated

scholarly journals Physicians’ perspective on shared decision-making in Dubai: a cross-sectional study

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Mohamad Alameddine ◽  
Reem AlGurg ◽  
Farah Otaki ◽  
Alawi A. Alsheikh-Ali
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Cross Sectional Study ◽  
Shared Decision ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Shared Decision-Making and Role Preference Among Patients With Schizophrenia in Malaysia: A Cross-Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Mohamad Ayob Ismail ◽  
Marhani Midin
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Asian Population ◽  
Cross Sectional Study ◽  
Shared Decision ◽  
Regression Analyses ◽  
Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Role Preference

Introduction: Shared decision-making (SDM) is recognized as a promising strategy for improving collaboration between clinicians and their patients in achieving recovery. In Malaysia, SDM among people with schizophrenia is still lacking both in practice and in research. This study aimed to determine the level of SDM and role preference and their associated factors among patients with schizophrenia in Malaysia.Methods: A cross-sectional study was conducted on 86 outpatient attendees with schizophrenia at a teaching hospital in Kuala Lumpur, Malaysia. The nine-item Shared Decision Making Questionnaire and Control Preference Scale were used to assess perceived SDM experience and role preference, respectively. Linear and logistic regression models were used to analyze the factors associated with SDM and role preference, respectively. Factors with a p &lt;0.25 from the simple regression analyses were controlled as the covariates in the multiple regression analyses.Results: The study respondents were predominantly female, single, and unemployed, with a mean age of 44 years. Only 35% of the participants reported having high SDM experiences, even though the majority (56%) preferred autonomous role preference. Among the participants who preferred autonomous roles, only 40% experienced high SDM. High SDM was found to be significantly associated with being younger (B = −0.33, 95% CI = −0.67 to −0.003) and being non-clozapine users (B = 19.90, 95% CI = 9.39–30.41), while autonomous role preference was significantly associated with a lower level of insight [adjusted odds ratio (AOR) = 0.84, 95% CI = 0.72–0.99] and being on oral antipsychotic drugs only (AOR = 2.94, 95% CI = 1.10–7.82).Conclusion: The practice of SDM is still lacking in the treatment of patients with schizophrenia in Malaysia, even though many of them preferred to be involved in the decision-making pertaining to their treatment. This study indicates the need for clinicians to improve their patients' involvement in the treatment process. More research is needed on how SDM can be implemented in patients with schizophrenia, especially in Asian population settings.

scholarly journals Psychological predictors of medical residents’ perspectives on shared decision-making with patients: a cross-sectional study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Farzan Kheirkhah ◽  
Reza Mousavi Larijani ◽  
Mahbobeh Faramarzi ◽  
Mohamahd Hadi Yadollahpour ◽  
Soraya Khafri
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Cross Sectional Study ◽  
Medical Residents ◽  
Shared Decision ◽  
Psychological Predictors ◽  
Sectional Study ◽  
Cross Sectional
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