Factors Associated With Hospitalization by Veterans in Home-Based Primary Care.


Journal

Journal of the American Medical Directors Association
ISSN: 1538-9375
Titre abrégé: J Am Med Dir Assoc
Pays: United States
ID NLM: 100893243

Informations de publication

Date de publication:
05 2021
Historique:
received: 12 08 2020
revised: 12 12 2020
accepted: 19 12 2020
pubmed: 2 2 2021
medline: 2 7 2021
entrez: 1 2 2021
Statut: ppublish

Résumé

This study examined the extent to which program site-based and Veteran characteristics were associated with potentially avoidable hospitalizations or other hospitalization of Veterans enrolled in the Veterans Affairs (VA) Home-Based Primary Care (HBPC). Retrospective claims-based study. HBPC programs that responded to a national survey of HBPC programs (n = 189) in fiscal year (FY) 2016 were studied. Veterans in the analysis cohort were identified as having been enrolled in VA-HBPC in FY2016 who had not received care by VA-HBPC within 1 year prior to their first HBPC enrollment in FY2016 (N = 8497). Multinomial logistic regression analysis with 5 outcome categories within the 6 months following the first HBPC enrollment date: (1) any potentially avoidable hospitalizations for ambulatory care-sensitive conditions (ACSC) as identified by AHRQ Prevention Quality Indicator (PQI), (2) any other hospitalizations for non-ACSC conditions, (3) died during study period, (4) discharged from HBPC, or (5) remained at home with HBPC. Average marginal effects (AME) of veteran-level and VA-HBPC-level covariates are reported for each of the outcome categories. More frail Veterans and Veterans 85 years old or older were more likely to have potentially preventable ACSC hospitalizations (AME = 5.4%, 1.8%, respectively). Veterans who were younger than 75 years, functionally impaired, bed-bound, or frail were more likely to have non-ACSC hospitalization (AME = 3.0%, 2.2%, 3.5%, and 9.0%, respectively). Veterans with low frailty index scores were less likely to have non-ACSC hospitalizations (AME = -17.1%). Six-month hospitalization patterns were not associated with reported HBPC site characteristics. Within the framework of the national VA HBPC program, variations in the structural model used at HBPC sites are not significantly associated with hospitalizations. Tailoring of HBPC care, based on individual patient factors and clinical judgment rather than standard protocols, may be central to the success of HBPC in reducing ACSC hospitalizations.

Identifiants

pubmed: 33524340
pii: S1525-8610(20)31100-2
doi: 10.1016/j.jamda.2020.12.033
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1043-1051.e1

Subventions

Organisme : HSRD VA
ID : I50 HX002767
Pays : United States

Informations de copyright

Published by Elsevier Inc.

Auteurs

Suzanne M Gillespie (SM)

Canandaigua Veterans Affairs Medical Center, Canandaigua, NY, USA; Division of Geriatrics, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA. Electronic address: suzanne.gillespie@va.gov.

Jiejin Li (J)

Canandaigua Veterans Affairs Medical Center, Canandaigua, NY, USA; Geriatrics & Extended Care Data Analysis Center, Office of Geriatrics & Extended Care, Office of Geriatrics and Extended Care, U.S. Department of Veterans Affairs, Washington, DC, USA; Department of Public Health Sciences, University of Rochester, Rochester, NY, USA.

Jurgis Karuza (J)

Canandaigua Veterans Affairs Medical Center, Canandaigua, NY, USA; Division of Geriatrics, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA; Department of Psychology, SUNY at Buffalo State, Buffalo, NY, USA.

Cari Levy (C)

Veterans Health Administration, ECHCS, Denver-Seattle Center of Innovation for Veterans Centric & Value Driven Care, Aurora, CO, USA; University of Colorado, Anschutz Medical Campus, School of Medicine, Department of Medicine, Division of Health Care Policy and Research, Aurora, CO, USA.

Stuti Dang (S)

Miami Veterans Affairs Healthcare System, Miami, FL, USA; Miami Veterans Affairs Geriatric Research Education and Clinical Center, Miami, FL, USA; Division of Geriatrics and Palliative Care, University of Miami Miller School of Medicine, Miami, FL, USA.

Tobie Olsan (T)

Canandaigua Veterans Affairs Medical Center, Canandaigua, NY, USA; School of Nursing, University of Rochester, Rochester, NY, USA.

Bruce Kinosian (B)

Division of Geriatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Cpl Michael J Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.

Orna Intrator (O)

Canandaigua Veterans Affairs Medical Center, Canandaigua, NY, USA; Geriatrics & Extended Care Data Analysis Center, Office of Geriatrics & Extended Care, Office of Geriatrics and Extended Care, U.S. Department of Veterans Affairs, Washington, DC, USA; Department of Public Health Sciences, University of Rochester, Rochester, NY, USA.

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Classifications MeSH