Systematic Advance Care Planning and Potentially Avoidable Hospitalizations of Nursing Facility Residents.


Journal

Journal of the American Geriatrics Society
ISSN: 1532-5415
Titre abrégé: J Am Geriatr Soc
Pays: United States
ID NLM: 7503062

Informations de publication

Date de publication:
08 2019
Historique:
received: 07 12 2018
revised: 19 03 2019
accepted: 19 03 2019
pubmed: 24 4 2019
medline: 26 5 2020
entrez: 24 4 2019
Statut: ppublish

Résumé

The Optimizing Patient Transfers, Impacting Medical Quality, Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project is a successful, multicomponent demonstration project to reduce potentially avoidable hospitalizations of long-stay nursing facility residents. Systematic advance care planning (ACP) is a core component of the intervention, based on research suggesting ACP is associated with decreased hospitalizations of nursing facility residents. The purpose of this study was to describe associations between ACP documentation resulting from the OPTIMISTIC intervention and hospitalizations. Specially trained project nurses were embedded in 19 nursing facilities and systematically engaged in ACP as part of a larger demonstration project. Residents (n = 1482) enrolled in the demonstration project for a minimum of 30 days between January 1, 2015, and June 30, 2016. ACP status: (1) Physician Orders for Scope of Treatment (POST) comfort measures or do not hospitalize (DNH) orders; (2) ACP orders with no hospitalization limit (eg, code status only); and (3) no ACP (potentially avoidable and all-cause hospitalizations per 1000 resident days). Residents with POST comfort measures/DNH orders (33.2% or n = 493) were less likely than residents with no ACP (14.7% or n = 218) to experience a potentially avoidable hospitalization (P = .001) or all-cause hospitalization (P = .001). These differences became statistically nonsignificant after adjusting for age, functional status, and cognitive functioning. In this successful multicomponent demonstration project to reduce potentially avoidable hospitalizations, ACP outcomes were not associated with hospitalization rates of nursing facility residents after adjusting for resident characteristics. These findings highlight the challenge of measuring the contributions of individual components of complex, multicomponent interventions. Associations between lower hospitalization rates and ACP completion may be influenced by contextual factors, such as clinical expertise and resources to manage acute conditions leading to hospitalization, in addition to interventions to increase ACP. J Am Geriatr Soc 67:1649-1655, 2019.

Sections du résumé

BACKGROUND/OBJECTIVES
The Optimizing Patient Transfers, Impacting Medical Quality, Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project is a successful, multicomponent demonstration project to reduce potentially avoidable hospitalizations of long-stay nursing facility residents. Systematic advance care planning (ACP) is a core component of the intervention, based on research suggesting ACP is associated with decreased hospitalizations of nursing facility residents. The purpose of this study was to describe associations between ACP documentation resulting from the OPTIMISTIC intervention and hospitalizations.
DESIGN
Specially trained project nurses were embedded in 19 nursing facilities and systematically engaged in ACP as part of a larger demonstration project.
PARTICIPANTS
Residents (n = 1482) enrolled in the demonstration project for a minimum of 30 days between January 1, 2015, and June 30, 2016.
MEASUREMENTS
ACP status: (1) Physician Orders for Scope of Treatment (POST) comfort measures or do not hospitalize (DNH) orders; (2) ACP orders with no hospitalization limit (eg, code status only); and (3) no ACP (potentially avoidable and all-cause hospitalizations per 1000 resident days).
RESULTS
Residents with POST comfort measures/DNH orders (33.2% or n = 493) were less likely than residents with no ACP (14.7% or n = 218) to experience a potentially avoidable hospitalization (P = .001) or all-cause hospitalization (P = .001). These differences became statistically nonsignificant after adjusting for age, functional status, and cognitive functioning.
CONCLUSION
In this successful multicomponent demonstration project to reduce potentially avoidable hospitalizations, ACP outcomes were not associated with hospitalization rates of nursing facility residents after adjusting for resident characteristics. These findings highlight the challenge of measuring the contributions of individual components of complex, multicomponent interventions. Associations between lower hospitalization rates and ACP completion may be influenced by contextual factors, such as clinical expertise and resources to manage acute conditions leading to hospitalization, in addition to interventions to increase ACP. J Am Geriatr Soc 67:1649-1655, 2019.

Identifiants

pubmed: 31012971
doi: 10.1111/jgs.15927
doi:

Types de publication

Evaluation Study Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1649-1655

Informations de copyright

© 2019 The American Geriatrics Society.

Auteurs

Susan E Hickman (SE)

Department of Community Health Systems, School of Nursing, Indiana University, Indianapolis, Indiana.
RESPECT (Research in Palliative and End-of-Life Communication and Training) Signature Center, Indiana University Purdue University Indianapolis, Indianapolis, Indiana.

Kathleen T Unroe (KT)

RESPECT (Research in Palliative and End-of-Life Communication and Training) Signature Center, Indiana University Purdue University Indianapolis, Indianapolis, Indiana.
Division of General Internal Medicine and Geriatrics, School of Medicine, Indiana University, Indianapolis, Indiana.
Center for Aging Research, Regenstrief Institute, Indianapolis, Indiana.

Mary Ersek (M)

Department of Veterans Affairs, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania.

Timothy E Stump (TE)

Division of General Internal Medicine and Geriatrics, School of Medicine, Indiana University, Indianapolis, Indiana.
Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, Indiana.

Wanzhu Tu (W)

Division of General Internal Medicine and Geriatrics, School of Medicine, Indiana University, Indianapolis, Indiana.
Center for Aging Research, Regenstrief Institute, Indianapolis, Indiana.
Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, Indiana.

Monica Ott (M)

Division of General Internal Medicine and Geriatrics, School of Medicine, Indiana University, Indianapolis, Indiana.

Greg A Sachs (GA)

RESPECT (Research in Palliative and End-of-Life Communication and Training) Signature Center, Indiana University Purdue University Indianapolis, Indianapolis, Indiana.
Division of General Internal Medicine and Geriatrics, School of Medicine, Indiana University, Indianapolis, Indiana.
Center for Aging Research, Regenstrief Institute, Indianapolis, Indiana.

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