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

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.

2020 ◽  
Author(s):  
Richard Huan Xu ◽  
Ling-Ming Zhou ◽  
Eliza Lai-Yi Wong ◽  
Dong Wang

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


2021 ◽  
pp. JDNP-D-20-00078
Author(s):  
Sybilla Myers ◽  
Christopher Kennedy

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.


BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e022730 ◽  
Author(s):  
Rachel C Forcino ◽  
Renata West Yen ◽  
Maya Aboumrad ◽  
Paul J Barr ◽  
Danielle Schubbe ◽  
...  

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.


2018 ◽  
Vol 45 (3) ◽  
pp. 156-160 ◽  
Author(s):  
Rosalind J McDougall

Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diagnosis and in treatment decision making. The use of AI in medical treatment raises many ethical issues that are yet to be explored in depth by bioethicists. In this paper, I focus specifically on the relationship between the ethical ideal of shared decision making and AI systems that generate treatment recommendations, using the example of IBM’s Watson for Oncology. I argue that use of this type of system creates both important risks and significant opportunities for promoting shared decision making. If value judgements are fixed and covert in AI systems, then we risk a shift back to more paternalistic medical care. However, if designed and used in an ethically informed way, AI could offer a potentially powerful way of supporting shared decision making. It could be used to incorporate explicit value reflection, promoting patient autonomy. In the context of medical treatment, we need value-flexible AI that can both respond to the values and treatment goals of individual patients and support clinicians to engage in shared decision making.


2019 ◽  
Vol 102 (2) ◽  
pp. 360-366 ◽  
Author(s):  
Hsiu-Nien Shen ◽  
Chia-Chen Lin ◽  
Tammy Hoffmann ◽  
Chia-Yin Tsai ◽  
Wen-Hsuan Hou ◽  
...  

2019 ◽  
Vol 56 (9) ◽  
pp. 1220-1229
Author(s):  
Francesca Wogden ◽  
Alyson Norman ◽  
Louise Dibben

Objective: Limited research has studied the involvement of children in medical decision-making. The aim of the study was to understand the involvement of adolescents with cleft lip and/or palate (CL/P) in decisions about elective surgeries and treatments. Design: Parents and professionals completed mixed-methods questionnaires about the degree to which children had been involved in choices about elective treatments. Data were analyzed using content analysis. Young people aged 12 to 25 years were asked to take part in semistructured interviews. The data were analyzed using inductive thematic analysis. Setting: Questionnaire data collection took place online, and interview data were collected via messenger or telephone-based interviews. Participants: The study employed 30 participants; 11 young people (3 male, 8 female), 17 parents (13 mothers, 4 fathers), and 5 professionals (2 surgeons, 2 speech and language therapists, and 1 pediatric dentist). Results: Five main themes were identified. These reflected participants feeling that with increasing age should come increased involvement in decision-making and that it was important for adolescents to “have a voice” during decision-making. Parents, peers, and health professionals were identified as influencing decisions. Most adolescents reported overall satisfaction with their involvement in decision-making but sometimes felt “left in the dark” by professionals or under pressure from parents. A desire to improve speech and/or appearance was as an area where adolescents wanted to be more involved in decision-making. Conclusions: Shared decision-making is an important factor for psychological well-being by promoting autonomy and self-esteem among adolescents with CL/P.


BMJ Open ◽  
2014 ◽  
Vol 4 (1) ◽  
pp. e004027 ◽  
Author(s):  
Jon C Tilburt ◽  
Matthew K Wynia ◽  
Victor M Montori ◽  
Bjorg Thorsteinsdottir ◽  
Jason S Egginton ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document