NDLI: Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study

Content Provider	Springer Nature : BioMed Central
Author	Van Bulck, Liesbet Claes, Kathleen Dierickx, Katrien Hellemans, Annelies Jamar, Sofie Smets, Sven Van Pottelbergh, Gijs
Abstract	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.
Related Links	https://bmcnephrol.biomedcentral.com/counter/pdf/10.1186/s12882-018-0917-2.pdf
Ending Page	9
Page Count	9
Starting Page	1
File Format	HTM / HTML
ISSN	14712369
DOI	10.1186/s12882-018-0917-2
Journal	BMC Nephrology
Issue Number	1
Volume Number	19
Language	English
Publisher	BioMed Central
Publisher Date	2018-06-01
Access Restriction	Open
Subject Keyword	Nephrology Internal Medicine End-stage renal disease Hemodialysis Patient activation Personalized interventions
Content Type	Text
Resource Type	Article
Subject	Nephrology
Journal Impact Factor	2.2/2023
5-Year Journal Impact Factor	2.6/2023

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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