Longitudinal trajectories of treatment burden: A prospective survey study of adults living with multiple chronic conditions in the midwestern United States.
Burden of treatment
latent class growth model
multimorbidity
social determinants
Journal
Journal of multimorbidity and comorbidity
ISSN: 2633-5565
Titre abrégé: J Multimorb Comorb
Pays: England
ID NLM: 9918333280706676
Informations de publication
Date de publication:
2022
2022
Historique:
received:
13
10
2021
accepted:
31
01
2022
entrez:
19
5
2022
pubmed:
20
5
2022
medline:
20
5
2022
Statut:
epublish
Résumé
Determine whether there are different longitudinal patterns of treatment burden in people living with multiple chronic conditions (MCC) and, if so, explore predictors that might reveal potential routes of intervention. We analyzed data from a prospective mailed survey study of 396 adults living with MCC in southeastern Minnesota, USA. Participants completed a measure of treatment burden, the Patient Experience with Treatment and Self-management (PETS), and valid measures of health-related and psycho-social concepts at baseline, 6, 12, and 24 months. Latent class growth mixture modeling (LCGM) determined trajectories of treatment burden in two summary index scores of the PETS: Workload and Impact. Multivariable logistic regressions were used to identify independent predictors of the trajectories. LCGM supported a 2-class model for PETS Workload, including a group of consistently high workload ( Different longitudinal patterns of treatment burden exist among people with MCC. Raising health literacy, enhancing self-efficacy, and lessening the effects of negative social interactions might help reduce treatment burden.
Identifiants
pubmed: 35586037
doi: 10.1177/26335565221081291
pii: 10.1177_26335565221081291
pmc: PMC9106306
doi:
Types de publication
Journal Article
Langues
eng
Pagination
26335565221081291Subventions
Organisme : NIDDK NIH HHS
ID : P30 DK092926
Pays : United States
Organisme : NINR NIH HHS
ID : R01 NR015441
Pays : United States
Informations de copyright
© The Author(s) 2022.
Déclaration de conflit d'intérêts
Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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