Quality of life (QOL) among chronic kidney disease (CKD) patients in Hospital Universiti Sains Malaysia (HUSM)
CKD leads to decreased QoL by increasing the risk of death during the progression of its pathogenesis. However, many factors can be improved to support QOL. A cross-sectional study was conducted on 73 participants. A self-administered questionnaire was given to the participants that fit the inclu...
Saved in:
| Main Author: | |
|---|---|
| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2023
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/61427/1/24.%20RANJENI%20MOHAN%20147325-E.pdf http://eprints.usm.my/61427/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | CKD leads to decreased QoL by increasing the risk of death during the
progression of its pathogenesis. However, many factors can be improved to support QOL.
A cross-sectional study was conducted on 73 participants. A self-administered
questionnaire was given to the participants that fit the inclusion criteria via face to face.
A validated questionnaire and the kidney disease quality of life short form (KDQOLSF
™ 1.3) were used to assess QoL. The general objective of this study is to study the
QoL among CKD patients in Hospital USM. They were selected through a nonprobability
convenience sampling method. Data collected were statistically analyzed
using Statistical Package Social Science (SPSS) software version of 26. A total of 73
participants were recruited into the study: were females (56.2%), married (89.0%),
studied secondary (69.9%), unemployed (53.4%), with household income in the range of
RM2000 – RM 3000 (35.6%), and village residents (63.0%). The mean score QoL among
CKD in the domains of the PCS, MCS, and KDCS with and without hemodialysis were
1435.96 (SD 338.07), 1172.33 (SD 181.39), 3422.31 (SD 334.93) and 3526.23 (SD
259.09) respectively. The prevalence of good QoL among CKD in the domains of the
PCS, MCS, and KDCS with and without hemodialysis were 20.5%, 16.4%, 15.4% and
16.7% respectively. Correlation between PCS and MCS shows slightly positive
correlation and significant at p= 0.000 (p ≤0.01). After controlling for all potential
confounding factors, two variables were found to be associated with QoL in the domains
of PCS: age, and occupational status. Three variables were associated with QoL in the domain of MCS: age, marital status and occupational status. However, none of variables
were significant to KDCS with and without hemodialysis. The level of QoL among CKD
patients showed moderate in all domains. Montioring QoL is an important indicator to
identify impact of CKD on PCS, MCS and KDCS domains. So, there is need for the
healthcare system to develop an appropriate evidence based practice guideline for the
assessmet and management for CKD patients. |
|---|