Ignite Creation Date:
2024-05-06 @ 6:58 PM
Last Modification Date:
2024-10-26 @ 2:57 PM
Study NCT ID:
NCT05841459
Status:
COMPLETED
Last Update Posted:
2023-05-03
First Post:
2023-04-19
Brief Title:
Spiritual Well-being Self-compassion Physical Symptoms Distress and Demoralization Among HD Patients
Sponsor:
Chang Gung University of Science and Technology
Organization:
Chang Gung University of Science and Technology
Study Overview
Official Title:
Study of Spiritual Well-being Self-compassion Physical Symptoms Distress and Demoralization Among Hemodialysis Patients
Status:
COMPLETED
Status Verified Date:
2023-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
To explore the associations between spiritual well-being self-compassion physical symptoms distress and demoralization among hemodialysis patients
Detailed Description:
The aims of this study is to explore the associations between spiritual well-being self-compassion physical symptom distress and demoralization in hemodialysis patients
A cross-sectional correlation design will be used We use convenient sample to recruit hemodialysis patients in a regional teaching hospital in the southern Taiwan The research data is collected with a pact of self-administrated questionnaire including Chinese version of the Demoralization Scale FACITsp-12 Scale Self-Compassion Scale and Physical Symptom Distress Scale SPSS statistical software will be used to data analysis Analysis methods included descriptive and inferential statistics Finally multiple linear regression will be used to test the predictors of demoralization The research results will offer health providers to identify symptoms related to demoralization earlier and provide appropriate care to patients to adapt the long treatment process and improve their quality of life
A cross-sectional correlation design will be used We use convenient sample to recruit hemodialysis patients in a regional teaching hospital in the southern Taiwan The research data is collected with a pact of self-administrated questionnaire including Chinese version of the Demoralization Scale FACITsp-12 Scale Self-Compassion Scale and Physical Symptom Distress Scale SPSS statistical software will be used to data analysis Analysis methods included descriptive and inferential statistics Finally multiple linear regression will be used to test the predictors of demoralization The research results will offer health providers to identify symptoms related to demoralization earlier and provide appropriate care to patients to adapt the long treatment process and improve their quality of life
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None