Attitudes and Beliefs Toward Advance Care Planning Among Underserved Chinese-American Immigrants.


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:
09 2020
Historique:
received: 16 03 2020
revised: 09 04 2020
accepted: 10 04 2020
pubmed: 27 4 2020
medline: 24 6 2021
entrez: 27 4 2020
Statut: ppublish

Résumé

Many in the rapidly growing Chinese-American population are non-English-speaking and medically underserved, and few engage in advance care planning (ACP). Evaluating culturally-determined factors that may inhibit ACP can inform programs designed to increase ACP engagement. To describe attitudes and beliefs concerning ACP in older, non-English-speaking Chinese Americans in a medically-underserved urban region. Patients were consecutively recruited from a primary care practice in New York City to participate in a cross-sectional survey. Attitudes and beliefs were measured using an ACP Survey Tool and the validated Traditional Chinese Death Beliefs measure. Exploratory analyses evaluated associations between these two measures and between each measure and sociodemographics, primary dialect, acculturation (using the Suinn-Lew Asian Self Identity Acculturation Scale), and health status (using the Short Form-8 Health Survey). Patients (n = 179) were 68.2 years on average; 55.9% were women, and 81.0% were non-English speaking (42.8% Cantonese, 15.2% Mandarin, 19.3% Toisanese, and 19.3% Fuzhounese). Most had low acculturation (mean 1.7/5.0) and highly-rated physical and mental health (mean 70.1/100 and 81.5/100, respectively). Few patients (15.1%) had an advance directive and 56.8% were unfamiliar with any type; 74.4% were willing to complete one in the future. Thirty-two percent "agreed" that "talking about death in the presence of a dying person would accelerate death". The analyses revealed no significant associations. These Chinese-American older adults had low acculturation and very limited knowledge of, or engagement in, ACP. Factors that may predict culturally-determined attitudes and beliefs about ACP were not identified. Further research can inform efforts to improve ACP engagement in this population.

Identifiants

pubmed: 32335203
pii: S0885-3924(20)30209-8
doi: 10.1016/j.jpainsymman.2020.04.013
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

588-594

Informations de copyright

Copyright © 2020 American Academy of Hospice and Palliative Medicine. All rights reserved.

Auteurs

Lara Dhingra (L)

MJHS Institute for Innovation in Palliative Care, New York, New York, USA; Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York, USA. Electronic address: LDhingra@mjhs.org.

William Cheung (W)

Community Private Practice, New York, New York, USA.

Brenda Breuer (B)

MJHS Institute for Innovation in Palliative Care, New York, New York, USA; Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York, USA.

Philip Huang (P)

Department of Psychology, University of Kansas, Lawrence, Kansas, USA.

Kin Lam (K)

Community Private Practice, New York, New York, USA.

Jack Chen (J)

Cohen Children's Medical Center, General Pediatrics, New Hyde Park, New York, USA.

Xiaotian Zhou (X)

MJHS Institute for Innovation in Palliative Care, New York, New York, USA.

Victor Chang (V)

Section of Hematology/Oncology, Veterans Affairs New Jersey Health Care System, East Orange, New Jersey, USA; Department of Medicine, Rutgers NJMS, Newark, New Jersey, USA.

Timothy Chui (T)

MJHS Institute for Innovation in Palliative Care, New York, New York, USA.

Stephanie Hicks (S)

MJHS Institute for Innovation in Palliative Care, New York, New York, USA.

Russell Portenoy (R)

MJHS Institute for Innovation in Palliative Care, New York, New York, USA; Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA.

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Classifications MeSH