The Efficacy of a Decision Support Intervention on Reducing Conflict and Improving Satisfaction in Making the Renal Replacement Therapy Decision Among Patients With End-stage Renal Disease
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Chronic Renal Disease
- Sponsor
- National Taipei University of Nursing and Health Sciences
- Enrollment
- 76
- Locations
- 1
- Primary Endpoint
- Control Preferences Scale
- Status
- Completed
- Last Updated
- 4 years ago
Overview
Brief Summary
Patients often need more comprehensive information and clearer communication in order to to understand the complications, risks, cost and impacts on life quality associated with different treatment options. The purpose of this study is to investigate the efficacy of a decision support intervention on reducing conflict and improving satisfaction in making the renal replacement therapy decision among patients with end-stage renal disease. This study will be a randomized controlled trail. They will be randomly assigned to the experimental or the control group. Participants in the experimental group will receive the decision support intervention provided by the patient educators through using a decision support tool. The control participants will receive the routine care. Independent t-tests will be used to analyze between-group differences in autonomy preference index, renal replacement therapy knowledge, decision self-efficacy, decision conflict, decision regret, and decision satisfaction at different data collection points.Generalized Estimating Equations will be used to analyze between group differences in the changes of renal replacement therapy knowledge, decision self-efficacy, and decision conflict across time.
Detailed Description
I. Research object: In the outpatient department of a medical center in a medical center in the north, the case was collected, and the sample was selected conveniently. The patients who met the following sample selection conditions were selected, and 128 patients who agreed to participate in the study and filled out the consent form were studied by Random Allocation. The software software generates a random assignment list, which is then assigned to the experimental group and the control group. 2.The number of samples is calculated The number of samples required is calculated by G power (version 3.1.9.2) statistical software (Faul, Erdfelder, Buchner, \& Lang, 2009), and the repeated measures ANOVA of the F test is used to compare the difference between the two groups (between factors) due to lack of intervention. The reference data of the effect size of the measure, the estimated measure should be moderately beneficial for the degree of decision-making, so according to the cohen's rule (Cohen, 1988) f2 is 0.30, the significant level α is 0.05, and the statistical power value is 0.05. It is 0.80, repeated measurement 3 times, the correlation between repeated measurements is 0.5, the total number of samples is estimated to be 86, each group is 43, and in addition, in order to make the secondary effect variable, there are enough samples, and consider The exit and omission values were about 20%. Therefore, 128 end-stage renal patients were selected from the hospital outpatient nephrology case management database. About 64 people in the experimental group and the control group participated in the study. 3. Intervention measures The intervention measures in this study were discussed with the nephrologist and CKD health teachers. Based on theoretical considerations, both the experimental group and the control group can accept the introduction and selection of renal replacement therapy, but the decision support measures are different, and the experimental group provides decision support. Measures include the use of CKD Guardian as a decision-maker and the development of medical decision aids by e-book software, and the application and decision-directed model complemented by introduction and selection. The implementation steps include team discussion, option discussion and decision making. The conversation is conducted while the control group is introduced with traditional care care.
Investigators
Tsae Jyy, Wang
RN PhD Professor
National Taipei University of Nursing and Health Sciences
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
Control Preferences Scale
Time Frame: 10 minutes
The control preferences construct is defined as "the degree of control an individual wants to assume when decisions are being made about medical treatment." The CPS consists of five cards that each portrays a different role in treatment decision-making using a statement and a cartoon. A and B represent the individual making the treatment decisions, C represent the individual making the decisions jointly with the physician, and D and E represent the physician making the decisions.
Scale of knowledge
Time Frame: 10 minutes
To measure the patient's relevant disease knowledge, dialysis modalities and items that should be tracked over time. The scale mainly applied a dichotomy response (right/wrong), but to prevent patient guessing, add the choice of 'I don't know' as well. There are 20 questions in total with a total possible score ranging from 0-20. The higher the subject's score, the more knowledge he/she was presumed to possess.
Decision Self-Efficacy: Decision Self-Efficacy Scale
Time Frame: 10 minutes
Using the Decision Self-Efficacy Scale developed by O'Connor (1995) to measure self-confidence or belief in decision-making ability, including joint decision making, the scale has a total of 11 questions, 0-4 points. Scored by 5 points, 0 points means no confidence at all, and 4 points means very confident. In order to help explain the score more easily, the scale multiplies the score by 25, and the score ranges from 0 (nothing at all). Confidence) to 100 points (very confident). The 0 point is expressed as "very low self-efficacy" and the 100 points means "very high self-efficacy" (O'Connor, 1995). The internal consistency of the scale is 0.92 with a correlation with the knowledge (r = 0.47) and support (r = 0.45).
Decisional Conflict
Time Frame: 10 minutes
A total of 16 questions, 5 points method Sub-(0-4), which is used to measure the decision-making disturbances of patients involved in treatment decision-making, including uncertainty, feelings, lack of relevant information, unclear personal values, feelings of lack of support, and decision satisfaction. Table (O'Connor, 1995). The summary score is converted to 0-100 points. According to the manual, the higher the total score, the higher the decision-making trouble, and the score greater than 37.5 is the relevant decision delay. The scale was originally used in patients who received influenza vaccine or breast cancer screening. The decision was made on whether or not to treat 909 patients. The internal consistency coefficient of the scale ranged from 0.78 to 0.92 with good reliability and validity. O'Connor, 1995).
Secondary Outcomes
- Decisional Satisfaction: Satisfaction with Decision (SWD)(10 minutes)
- Decisional Regret(10 minutes)