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