Back to Search
Start Over
Characterization of CKD illness representation profiles using patient-level factors.
- Source :
-
Journal of nephrology [J Nephrol] 2024 Apr; Vol. 37 (3), pp. 671-679. Date of Electronic Publication: 2024 May 09. - Publication Year :
- 2024
-
Abstract
- Background: Illness perceptions are the unique perspective individuals have on their illness, based on their context and experiences, and are associated with patient outcomes including coping and adherence. The purpose of this study was to explore characteristics that may be driving membership in illness perceptions cluster groups for adults with chronic kidney disease (CKD).<br />Methods: This study was conducted within the multicenter longitudinal Chronic Renal Insufficiency Cohort (CRIC) Study. Cross-sectional data were collected and combined with CRIC data. Illness perceptions were measured using the Revised Illness Perception Questionnaire. Clustering analysis was conducted in R, and bivariate analysis including linear regression was performed in STATA 16.<br />Results: The sample (n = 197) had a mean age of 68, was 52% women, 53% non-White, and mean estimated glomerular filtration rate (eGFR) 56 ml/min/1.73 m <superscript>2</superscript> . Three cluster groups were identified, labeled as "Disengaged" (n = 20), "Well-Resourced" (n = 108), and "Distressed" (n = 69). The "Disengaged" group was characterized by low CKD knowledge, many recent hospitalization days, and the lowest perceived CKD burden. The "Well-Resourced" group was characterized by the highest levels of education, CKD knowledge, optimism, and medication adherence. The "Distressed" group was characterized by the highest levels of depression scores, comorbidity burden, CKD burden, CKD symptoms, and lowest optimism. Group membership significantly predicted the number of hospitalization days in adjusted analyses.<br />Conclusions: Illness perceptions groups are associated with number of hospitalization days but are independent of many patient characteristics. Illness perceptions data could be used to tailor care for specific patients at risk for poor health outcomes.<br /> (© 2024. The Author(s) under exclusive licence to Italian Society of Nephrology.)
- Subjects :
- Humans
Female
Male
Aged
Middle Aged
Cross-Sectional Studies
Longitudinal Studies
Surveys and Questionnaires
Cost of Illness
Perception
Glomerular Filtration Rate
Cluster Analysis
Renal Insufficiency, Chronic psychology
Renal Insufficiency, Chronic physiopathology
Renal Insufficiency, Chronic epidemiology
Health Knowledge, Attitudes, Practice
Subjects
Details
- Language :
- English
- ISSN :
- 1724-6059
- Volume :
- 37
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of nephrology
- Publication Type :
- Academic Journal
- Accession number :
- 38727894
- Full Text :
- https://doi.org/10.1007/s40620-024-01955-2