Analyzing the effects of shared decision-making, empathy and team interaction on patient satisfaction and treatment acceptance in medical rehabilitation using a structural equation modeling approach

2013 ◽  
Vol 91 (2) ◽  
pp. 167-175 ◽  
Author(s):  
Katharina Quaschning ◽  
Mirjam Körner ◽  
Markus Wirtz
Keyword(s):  
Decision Making ◽  
Patient Satisfaction ◽  
Structural Equation Modeling ◽  
Shared Decision Making ◽  
Structural Equation ◽  
Medical Rehabilitation ◽  
Equation Modeling ◽  
Shared Decision ◽  
Team Interaction ◽  
Treatment Acceptance

scholarly journals Shared-decision-making Behavior in Hospitalized Patients: Investigating the Impact of Patient's Trust in Physicians, Emotional Support, Informational Support, and Tendency to Excuse Using a Structural Equation Modeling Approach

2021 ◽  
Vol 8 ◽  
pp. 237437352110496
Author(s):  
Zahra Chegini ◽  
Sheikh Mohammed Shariful Islam
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Shared Decision Making ◽  
Emotional Support ◽  
Structural Equation ◽  
Equation Modeling ◽  
Shared Decision ◽  
Informational Support ◽  
Trust In Physicians ◽  
The Impact

Patient participation in care decisions is facilitated by shared-decision-making (SDM). This study, therefore, aims to explore the impact of patient's trust in physicians, emotional support, informational support, and tendency to excuse on SDM. A cross-sectional study was conducted at the medical–surgical wards of 6 similar-sized public hospitals in Tabriz, northwest Iran, using a self-administered questionnaire, with 321 cases collected from October to December 2019. The structural equation modeling (SEM) analysis was used to test the hypothetical model. Using the SEM approach, the findings fully confirmed the study hypothesis, and patients’ trust in physician (Beta = −0.44), emotional support (Beta = 0.29), tendency to excuse (Beta = 0.18), and informational support (Beta = 0.58) predicted the inpatient's SDM behavior ( R2 = 0.65, goodness-of-fit index = 0.902). To improve patient outcomes, physicians might advise incorporating techniques such as improving patient trust, informational and emotional supports to improve SDM. Improving the psychosocial skills of physicians also seems to be essential to help patients express their concerns.

scholarly journals The Mediating Role of Shared Decision-Making in the Effect of the Patient–Physician Relationship on Compliance With Treatment

2021 ◽  
Vol 8 ◽  
pp. 237437352110180
Author(s):  
Serkan Deniz ◽  
Mahmut Akbolat ◽  
Mesut Çimen ◽  
Özgün Ünal
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Structural Equation ◽  
Therapeutic Process ◽  
Health Service Delivery ◽  
Equation Modeling ◽  
Shared Decision ◽  
Mediating Role ◽  
Successful Treatment Outcome ◽  
Physician Relationship

Background: For a successful treatment outcome, the components of the treatment process are very important. The patient–physician relationship plays a key role in the successful therapeutic process and effective health service delivery. The patient’s compliance with the treatment directly affects the success of the treatment. Objective: This study aims to determine the effect of the patient–physician relationship on compliance with the treatment and to determine whether shared decision-making has an mediating role in this effect. Patient Involvement: Most of the study participants (55%) were younger than 35 and their average age was 30. The majority of the participants have an associate degree or higher education. Method: The study used a 4-part survey form as the data collection tool. The sample in this study consisted of 399 participants. To analyze the obtained data, Structural Equation Modeling was used by employing the Smart PLS3 software. Results: The results of the study show that the patient–physician relationship positively affects the patient’s compliance with the treatment and shared decision-making. In addition, shared decision-making positively affects the patient’s compliance with the treatment. The effect of the patient–physician relationship on compliance with treatment was strengthened through shared decision-making. Discussion: The results of the study revealed that patient–physician relationship and shared decision-making are two important factors in patients’ compliance with the treatment. Accordingly, the stronger the patient–physician relationship and the more patients participate in their treatment decisions, the higher their compliance with the treatment.

Using Simulation to Teach Operations Management to First- and Continuing-Generation Students

2018 ◽  
Vol 5 (2) ◽  
pp. 57-72
Author(s):  
Jason M. Riley ◽  
William A. Ellegood
Keyword(s):  
Structural Equation Modeling ◽  
Operations Management ◽  
Structural Equation ◽  
First Generation ◽  
Team Leadership ◽  
Ease Of Use ◽  
Equation Modeling ◽  
First Generation Students ◽  
Pedagogical Tools ◽  
Team Interaction

Leveraging a popular operations management simulation, we examine how team interaction, students' previous software experience, simulations' ease of use, team leadership, and instructors' guidance affects students' comprehension. Respondents completed a 27-item survey designed to assess individual comprehension. To illustrate the various affects, we use structural equation modeling to compare first-generation and continuing-generation undergraduate populations. The results indicate software's ease of use and instructors' guidance affects both groups, while team interaction to comprehension is present for only first-generation students. We also find that the strength of the various relationships depends on the population of students being studied. As simulations continue to grow in popularity, educators need to recognize how these pedagogical tools affect different student populations.

Bridging the Gap: A Priorities Assessment Tool to Support Shared Decision Making, Maximize Appointment Time, and Increase Patient Satisfaction in Women With Ovarian Cancer

2020 ◽  
Vol 16 (2) ◽  
pp. e148-e154 ◽  
Author(s):  
Melissa K. Frey ◽  
Annie Ellis ◽  
Savannah Shyne ◽  
Ryan Kahn ◽  
Eloise Chapman-Davis ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Decision Making ◽  
Patient Satisfaction ◽  
Shared Decision Making ◽  
Assessment Tool ◽  
Shared Decision ◽  
Feedback Form ◽  
Patient Centered ◽  
Symptom Index ◽  
Increase Patient Satisfaction

PURPOSE: Women with ovarian cancer identify patient-physician communication as an essential element in determining treatment course and believe a discussion about goals and values should precede treatment decisions. We sought to develop a patient-centered priorities assessment tool for women with ovarian cancer that could streamline communication, enhance treatment discussions, and increase patient satisfaction. MATERIALS AND METHODS: We designed a priorities assessment tool using a validated ovarian cancer symptom index (National Comprehensive Cancer Center–Functional Assessment of Cancer Therapy Ovarian Symptom Index-18) combined with an index to assess daily quality-of-life priorities. The tool was distributed to women with ovarian cancer in small focus group settings and online, followed by a postactivity feedback form. RESULTS: In this pilot study, 36 women completed the priorities assessment tool and 35 completed the postactivity feedback form between September 2015 and May 2016. All participants reported that the tool was easy to understand and comprehensive in scope. Twenty-nine participants (82.9%) completed the tool in 10 minutes or less. Most participants (n = 31, 86.1%) were able to stratify their priorities and identify 5 top treatment-related priorities. Participants who indicated that their goals and priorities had changed since diagnosis (n = 25, 69.4%) reported that the tool helped to identify current goals and priorities (22 [88%] of 25 participants) and would help them feel more comfortable participating in shared decision making with their medical team (21 [84%] of 25 participants). CONCLUSION: A patient-centered priorities assessment tool was easy to complete and viewed as comprehensive and useful in a pilot cohort of women with ovarian cancer. Use of a priorities assessment tool has the potential to enhance communication, promote shared decision making, and improve patient satisfaction.

Informed Shared Decision-Making and Patient Satisfaction

2014 ◽  
Vol 55 (6) ◽  
pp. 586-594 ◽  
Author(s):  
Arjan G.J. Bot ◽  
Jeroen K.J. Bossen ◽  
James H. Herndon ◽  
David E. Ruchelsman ◽  
David Ring ◽  
...  
Keyword(s):  
Decision Making ◽  
Patient Satisfaction ◽  
Shared Decision Making ◽  
Shared Decision

Assessing overall patient satisfaction in inflammatory bowel disease using structural equation modeling

2015 ◽  
Vol 27 (8) ◽  
pp. 941-950 ◽  
Author(s):  
João-Bruno Soares ◽  
Ana S. Marinho ◽  
Dália Fernandes ◽  
Bruno Moreira Gonçalves ◽  
Cláudia Camila-Dias ◽  
...  
Keyword(s):  
Inflammatory Bowel Disease ◽  
Patient Satisfaction ◽  
Structural Equation Modeling ◽  
Bowel Disease ◽  
Structural Equation ◽  
Equation Modeling ◽  
Inflammatory Bowel

Study on the Integrated Method of SEM and DEMATEL

2014 ◽  
Vol 926-930 ◽  
pp. 3722-3727
Author(s):  
Wei Meng
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fitting ◽  
Assessment Model ◽  
Model Specification ◽  
Equation Modeling ◽  
Model Assessment ◽  
Integrated Method ◽  
Model Modification

This paper compares Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory. Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory are all methods to study factors’ structure problem. Some steps of the two methods can completely replace each other and complement each other. This paper puts forward an integrated method of Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory that includes competing model specification, model fitting, model assessment, model modification and result explain.

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