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Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426182/ https://www.ncbi.nlm.nih.gov/pubmed/37580719 http://dx.doi.org/10.1186/s12911-023-02261-w |
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author | Hsiao, Shih-Ming Kuo, Mei-Chuan Hsiao, Pei-Ni Moi, Sin-Hua Chiu, Yi-Wen Wang, Shu-Li Chen, Tzu-Hui Kung, Lan-Fang Hwang, Shang-Jyh Lee, Chia-Lun |
author_facet | Hsiao, Shih-Ming Kuo, Mei-Chuan Hsiao, Pei-Ni Moi, Sin-Hua Chiu, Yi-Wen Wang, Shu-Li Chen, Tzu-Hui Kung, Lan-Fang Hwang, Shang-Jyh Lee, Chia-Lun |
author_sort | Hsiao, Shih-Ming |
collection | PubMed |
description | 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 < 0.001). Our findings revealed that delayed group was significantly characterized with not created early surgical assess (delayed vs. general: 66.7% vs. 27.5%, p = 0.001) compared to general group. The average BIPQ score was 54.0 ± 8.1 in our study. We classified the patients into high and low illness perception group according to the median score of BIPQ. The total score of BIPQ in overall participants might increase by the SDM decision time (rho = 0.83, p = 0.830) and the linear regression line also showed consistent trends between BIPQ and SDM decision time in correspond cohorts. However, no statistically significant findings were found. CONCLUSIONS: The patients with advanced chronic kidney disease took an average of five and a half months to make a RRT decision after undergoing SDM. Although there is no statistical significance, the trend of illness perception seems correlated with decision-making time. The stronger the illness perception, the longer the decision-making time. Furthermore, shorter decision times may be associated with earlier establishment of surgical access. We need more research exploring the relationship between illness perception and SDM for RRT in CKD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-023-02261-w. |
format | Online Article Text |
id | pubmed-10426182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104261822023-08-16 Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease Hsiao, Shih-Ming Kuo, Mei-Chuan Hsiao, Pei-Ni Moi, Sin-Hua Chiu, Yi-Wen Wang, Shu-Li Chen, Tzu-Hui Kung, Lan-Fang Hwang, Shang-Jyh Lee, Chia-Lun BMC Med Inform Decis Mak Research 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 < 0.001). Our findings revealed that delayed group was significantly characterized with not created early surgical assess (delayed vs. general: 66.7% vs. 27.5%, p = 0.001) compared to general group. The average BIPQ score was 54.0 ± 8.1 in our study. We classified the patients into high and low illness perception group according to the median score of BIPQ. The total score of BIPQ in overall participants might increase by the SDM decision time (rho = 0.83, p = 0.830) and the linear regression line also showed consistent trends between BIPQ and SDM decision time in correspond cohorts. However, no statistically significant findings were found. CONCLUSIONS: The patients with advanced chronic kidney disease took an average of five and a half months to make a RRT decision after undergoing SDM. Although there is no statistical significance, the trend of illness perception seems correlated with decision-making time. The stronger the illness perception, the longer the decision-making time. Furthermore, shorter decision times may be associated with earlier establishment of surgical access. We need more research exploring the relationship between illness perception and SDM for RRT in CKD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-023-02261-w. BioMed Central 2023-08-14 /pmc/articles/PMC10426182/ /pubmed/37580719 http://dx.doi.org/10.1186/s12911-023-02261-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hsiao, Shih-Ming Kuo, Mei-Chuan Hsiao, Pei-Ni Moi, Sin-Hua Chiu, Yi-Wen Wang, Shu-Li Chen, Tzu-Hui Kung, Lan-Fang Hwang, Shang-Jyh Lee, Chia-Lun Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease |
title | Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease |
title_full | Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease |
title_fullStr | Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease |
title_full_unstemmed | Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease |
title_short | Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease |
title_sort | shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426182/ https://www.ncbi.nlm.nih.gov/pubmed/37580719 http://dx.doi.org/10.1186/s12911-023-02261-w |
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