Determinants of Health and Outcomes in Medicare Recipients With Heart Disease: A Population Study.

Social determinants of health advance care planning health related quality of life heart disease national health and aging trends study treatment preferences

Journal

Journal of pain and symptom management
ISSN: 1873-6513
Titre abrégé: J Pain Symptom Manage
Pays: United States
ID NLM: 8605836

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 19 06 2023
revised: 27 07 2023
accepted: 01 08 2023
pubmed: 7 8 2023
medline: 7 8 2023
entrez: 6 8 2023
Statut: ppublish

Résumé

Heart disease (HD) is a primary cause of mortality and morbidity in the United States. While there is a growing body of evidence demonstrating the contribution of social determinants of health (SDoH) to HD outcomes, the impact of combined or individual SDoH on health-related quality of life (HRQoL) in patients with HD is not well understood. To analyze the National Health and Aging Trends Study (NHATS) to explore the relationship of SDoH with HRQoL, advance care planning, and treatment preferences in Medicare beneficiaries with HD. The study design was a secondary data analysis using latent class analysis (LCA) and multivariable analysis of NHATS participants with HD, Round 8, that included End of Life Plans and Care questions. 1202 participants, median age 81 years, 57% female, 70% non-Hispanic White, 20% non-Hispanic Black, 10% Other. LCA identified two SDoH risk profiles (low/high), using 12 measures within the NHATS Economic and Social Consequences key concept area. The high-risk SDoH profile participants were more likely to have fair/poor HRQoL, and identify as female, non-White (P < 0.0001); and less likely to have completed advance care planning (P < 0.0001). High-risk SDoH participants were more likely to want life-prolonging treatments (P < 0.0001), however, this association was not significant after adjusting for age, sex, and race (P = 0.344). Higher risk SDoH profiles are associated with reduced HRQoL, reduced advance care planning completion, female sex, and non-White race in a cohort of Medicare beneficiaries. These findings provide opportunities to improve SDoH-related care practices in older patients with HD.

Identifiants

pubmed: 37544553
pii: S0885-3924(23)00619-X
doi: 10.1016/j.jpainsymman.2023.08.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

561-569.e2

Informations de copyright

Copyright © 2023 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosures and Acknowledgments The authors have no financial disclosures, commercial associations, or any other conditions posing a conflict of interest to report. Dr. Ahn is a consultant with Keiferx. There are no conflicts of interest to report for any other authors.

Auteurs

Kelley M Anderson (KM)

Georgetown University School of Nursing (K.M.A., E.Y., R.S.), Washington, District of Columbia. Electronic address: kma25@georgetown.edu.

Edilma Yearwood (E)

Georgetown University School of Nursing (K.M.A., E.Y., R.S.), Washington, District of Columbia.

William S Weintraub (WS)

MedStar Health Research Institute (W.S.W.), Hyattsville, Maryland; Georgetown University School of Medicine (W.S.W., H.G., A.R.), Washington, District of Columbia.

Yi Xia (Y)

Department of Biostatistics, Bioinformatics, and Biomathematics (Y.X., J.A.), Georgetown University, Washington, District of Columbia.

Rebecca Scally (R)

Georgetown University School of Nursing (K.M.A., E.Y., R.S.), Washington, District of Columbia.

Hunter Groninger (H)

Georgetown University School of Medicine (W.S.W., H.G., A.R.), Washington, District of Columbia; Section of Palliative Care (H.G., A.R.), MedStar Washington Hospital Center, Washington, District of Columbia.

Anirudh Rao (A)

Georgetown University School of Medicine (W.S.W., H.G., A.R.), Washington, District of Columbia; Section of Palliative Care (H.G., A.R.), MedStar Washington Hospital Center, Washington, District of Columbia.

Jaeil Ahn (J)

Department of Biostatistics, Bioinformatics, and Biomathematics (Y.X., J.A.), Georgetown University, Washington, District of Columbia.

Classifications MeSH