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Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study
BACKGROUND: Patient activation is associated with better outcomes and lower costs. Although the concept is widely investigated, little attention was given to patient activation and its predictors in patients undergoing hemodialysis. Hence, we aimed to investigate the level of patient activation and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984733/ https://www.ncbi.nlm.nih.gov/pubmed/29859047 http://dx.doi.org/10.1186/s12882-018-0917-2 |
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author | Van Bulck, Liesbet Claes, Kathleen Dierickx, Katrien Hellemans, Annelies Jamar, Sofie Smets, Sven Van Pottelbergh, Gijs |
author_facet | Van Bulck, Liesbet Claes, Kathleen Dierickx, Katrien Hellemans, Annelies Jamar, Sofie Smets, Sven Van Pottelbergh, Gijs |
author_sort | Van Bulck, Liesbet |
collection | PubMed |
description | BACKGROUND: Patient activation is associated with better outcomes and lower costs. Although the concept is widely investigated, little attention was given to patient activation and its predictors in patients undergoing hemodialysis. Hence, we aimed to investigate the level of patient activation and aimed to determine patient- and treatment-related predictors of activation in patients undergoing hemodialysis. METHODS: This cross-sectional observational study recruited patients undergoing hemodialysis in three Flemish hospitals. Participants were questioned about patient characteristics (i.e., age, sex, education, employment, children, social support, leisure-time, living condition, and care at home), treatment- and health-related characteristics (i.e., hospital, time since first dialysis, transplantation, self-reported health (EQ-VAS) and depressive symptoms (PHQ-2)), and patient activation (PAM-13). Univariate and multiple linear regression analyses with dummy variables were conducted to investigate the associations between the independent variables and patient activation. RESULTS: The average patient activation-score was 51. Of 192 patients, 44% patients did not believe they had an important role regarding their health. Multiple linear regression showed that older patients, who reported being in bad health, treated in a particular hospital, without leisure-time activities, and living in a residential care home, had lower patient activation. These variables explained 31% of the variance in patient activation. Based on literature, we found that activation of patients on hemodialysis is low, compared to that of other chronic patient groups. CONCLUSION: It could be useful to implement patient activation monitoring, since the level of activation is low in patients undergoing hemodialysis. Older patients, who reported being in bad health, treated in a particular hospital, without leisure-time activities, living in a residential care home, are at higher risk for lower activation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-0917-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5984733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59847332018-06-07 Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study Van Bulck, Liesbet Claes, Kathleen Dierickx, Katrien Hellemans, Annelies Jamar, Sofie Smets, Sven Van Pottelbergh, Gijs BMC Nephrol Research Article BACKGROUND: Patient activation is associated with better outcomes and lower costs. Although the concept is widely investigated, little attention was given to patient activation and its predictors in patients undergoing hemodialysis. Hence, we aimed to investigate the level of patient activation and aimed to determine patient- and treatment-related predictors of activation in patients undergoing hemodialysis. METHODS: This cross-sectional observational study recruited patients undergoing hemodialysis in three Flemish hospitals. Participants were questioned about patient characteristics (i.e., age, sex, education, employment, children, social support, leisure-time, living condition, and care at home), treatment- and health-related characteristics (i.e., hospital, time since first dialysis, transplantation, self-reported health (EQ-VAS) and depressive symptoms (PHQ-2)), and patient activation (PAM-13). Univariate and multiple linear regression analyses with dummy variables were conducted to investigate the associations between the independent variables and patient activation. RESULTS: The average patient activation-score was 51. Of 192 patients, 44% patients did not believe they had an important role regarding their health. Multiple linear regression showed that older patients, who reported being in bad health, treated in a particular hospital, without leisure-time activities, and living in a residential care home, had lower patient activation. These variables explained 31% of the variance in patient activation. Based on literature, we found that activation of patients on hemodialysis is low, compared to that of other chronic patient groups. CONCLUSION: It could be useful to implement patient activation monitoring, since the level of activation is low in patients undergoing hemodialysis. Older patients, who reported being in bad health, treated in a particular hospital, without leisure-time activities, living in a residential care home, are at higher risk for lower activation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-0917-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-01 /pmc/articles/PMC5984733/ /pubmed/29859047 http://dx.doi.org/10.1186/s12882-018-0917-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Van Bulck, Liesbet Claes, Kathleen Dierickx, Katrien Hellemans, Annelies Jamar, Sofie Smets, Sven Van Pottelbergh, Gijs Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study |
title | Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study |
title_full | Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study |
title_fullStr | Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study |
title_full_unstemmed | Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study |
title_short | Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study |
title_sort | patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984733/ https://www.ncbi.nlm.nih.gov/pubmed/29859047 http://dx.doi.org/10.1186/s12882-018-0917-2 |
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