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Characterization of CKD illness representation profiles using patient-level factors.

Authors :
Rivera E
Tintle N
Townsend RR
Rahman M
Schrauben SJ
Clark-Cutaia MN
Hannan M
Lash JP
Wolfrum K
Missikpode C
Hirschman KB
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.)

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