Decision Making Clinical Trial
Official title:
Impact of Decision Quality by Using Question Prompt List on the Shared Decision Making in End-stage Renal Disease Patients
To investigate the effects of a question prompt list (QPL) on a shared decision-making consultation among facing decision for dialysis in end-stage renal disease (ESRD) patients. A randomized controlled trial was conducted at the university medical center of North Taiwan. Subjects were randomized assigned to QPL group or usual care group. Decisional quality and decision control preferences were assessed with questionnaires. Measurements were performed at before the counseling (T0), immediately after counseling (T1), and evaluate decision regret at one month after treatment.
The aim of this study was to investigate the effectiveness of decisional quality and decisional control preferences by using a specific question prompt list (QPL) during a shared decision-making consultation among facing decision for dialysis in end-stage renal disease (ESRD) patients. A randomized controlled trial was conducted at the university medical center of North Taiwan. Recruit subjects are those who are about to receive the nurse-led coaching of shared decision-making (SDM) for patients with ESRD and attend the program. By using blocked Randomization design, the investigators assigned participants to QPL group or usual care. Prior to a clinic visit to discuss treatment, two-pages ESRD QPL leaflets are provided to QPL group, while usual care group without receiving provision of QPL. Measurements of outcome included decision quality (decision conflict, decisional self-efficiency) and decision control preference at before the counseling (T0), immediately after counseling (T1), and evaluate decision regret at one month after treatment (T2), at this time the patient has decided and started to accept the selected treatment (hemodialysis, peritoneal dialysis or conservative treatment). All statistical analyses were performed in SAS statistical software, version 9.4 (SAS, Cary, NC). The effects of the intervention were assessed by generalized estimating equation (GEE) analysis with the coefficient of interaction ( group × time) term. Statistical tests were two-sided with a significance level of 0.05. Hierarchical Linear Model was used to detect the impact of nested within physician. ;
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