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Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease

Authors :
Shih-Ming Hsiao
Mei-Chuan Kuo
Pei-Ni Hsiao
Sin-Hua Moi
Yi-Wen Chiu
Shu-Li Wang
Tzu-Hui Chen
Lan-Fang Kung
Shang-Jyh Hwang
Chia-Lun Lee
Source :
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-11 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background Current healthcare trends emphasize the use of shared decision-making (SDM) for renal replacement treatment (RRT) in patients with chronic kidney disease (CKD). This is crucial to understand the relationship between SDM and illness perception of CKD patients. Few studies have focused on SDM and illness perception status of CKD patients and the impact of illness perception on RRT after SDM. Methods In this cross-sectional study, we used a questionnaire with purposive sampling from March 2019 to February 2020 at the nephrology outpatient department of a medical center in southern Taiwan. The nephrology medical team in this study used the SHARE five-step model of SDM to communicate with the patients about RRT and Brief Illness Perception Questionnaire (BIPQ) was applied to evaluate illness perception of these patients at the beginning of SDM. According to the SDM decision time, the study participants were classified general and delayed SDM groups. The distribution between SDM groups was estimated using independent two sample t-test, chi-squared test or Fisher’s exact test. The correlation between illness perception and SDM decision time were illustrated and evaluated using Spearman’s correlation test. A p-value less than 0.05 is statistically significant. Results A total of 75 patients were enrolled in this study. The average time to make a dialysis decision after initiating SDM was 166.2 ± 178.1 days. 51 patients were classified as general group, and 24 patients were classified as delayed group. The median SDM decision time of delayed group were significantly longer than general group (56 vs. 361 days, P

Details

Language :
English
ISSN :
14726947
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.b89e1e0c48dd4775a67490ca853cba48
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-023-02261-w