Palliative Referrals in Advanced Cancer Patients: Utilizing the Supportive and Palliative Care Indicators Tool and Rothman Index.


Journal

The American journal of hospice & palliative care
ISSN: 1938-2715
Titre abrégé: Am J Hosp Palliat Care
Pays: United States
ID NLM: 9008229

Informations de publication

Date de publication:
Feb 2022
Historique:
pubmed: 19 5 2021
medline: 27 1 2022
entrez: 18 5 2021
Statut: ppublish

Résumé

Timely identification of palliative care needs can reduce hospitalizations and improve quality of life. The Supportive & Palliative Care Indicators Tool (SPICT) identifies patients with advanced medical conditions who may need special care planning. The Rothman Index (RI) detects patients at high risk of acutely decompensating in the inpatient setting. SPICT and RI among cancer patients were utilized in this study to evaluate their potential roles in palliative care referrals. Advanced cancer patients admitted to an institution in Baltimore, Maryland in 2019 were retrospectively reviewed. Patient demographics, length of hospital stay (LOS), palliative care referrals, RI scores, and SPICT scores were obtained. Patients were divided into SPICT positive or negative and RI > 60 or RI < 60.Unpaired t-tests and chi-square tests were utilized to determine the associations between SPICT and RI and early palliative care needs and mortality. 227 patients were included, with a mean age of 68 years, 63% Black, 59% female, with the majority having lung and GI malignancies. Sixty percent were SPICT +, 21% had RI < 60. SPICT + patients were more likely to have RI < 60 (p = 0.001). SPICT + and RI < 60 patients were more likely to have longer LOS, change in code status, more palliative/hospice referrals, and increased mortality (p <0.05). SPICT and RI are valuable tools in predicting mortality and palliative/hospice care referrals. These can also be utilized to initiate early palliative and goals of care discussions in patients with advanced cancer.

Sections du résumé

BACKGROUND BACKGROUND
Timely identification of palliative care needs can reduce hospitalizations and improve quality of life. The Supportive & Palliative Care Indicators Tool (SPICT) identifies patients with advanced medical conditions who may need special care planning. The Rothman Index (RI) detects patients at high risk of acutely decompensating in the inpatient setting. SPICT and RI among cancer patients were utilized in this study to evaluate their potential roles in palliative care referrals.
METHODS METHODS
Advanced cancer patients admitted to an institution in Baltimore, Maryland in 2019 were retrospectively reviewed. Patient demographics, length of hospital stay (LOS), palliative care referrals, RI scores, and SPICT scores were obtained. Patients were divided into SPICT positive or negative and RI > 60 or RI < 60.Unpaired t-tests and chi-square tests were utilized to determine the associations between SPICT and RI and early palliative care needs and mortality.
RESULTS RESULTS
227 patients were included, with a mean age of 68 years, 63% Black, 59% female, with the majority having lung and GI malignancies. Sixty percent were SPICT +, 21% had RI < 60. SPICT + patients were more likely to have RI < 60 (p = 0.001). SPICT + and RI < 60 patients were more likely to have longer LOS, change in code status, more palliative/hospice referrals, and increased mortality (p <0.05).
CONCLUSIONS CONCLUSIONS
SPICT and RI are valuable tools in predicting mortality and palliative/hospice care referrals. These can also be utilized to initiate early palliative and goals of care discussions in patients with advanced cancer.

Identifiants

pubmed: 34002623
doi: 10.1177/10499091211017873
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

164-168

Auteurs

Abigail Sy Chan (AS)

Department of Medicine, Sinai Hospital of Baltimore, MD, USA.
Department of Hematology/Oncology, University of Louisville, KY, USA.

Amit Rout (A)

Department of Medicine, Sinai Hospital of Baltimore, MD, USA.

Christopher R D 'Adamo (CRD)

Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.

Irina Lev (I)

Department of Medicine, Sinai Hospital of Baltimore, MD, USA.

Amy Yu (A)

Department of Medicine, Sinai Hospital of Baltimore, MD, USA.

Kenneth Miller (K)

Department of Hematology/Oncology, Sinai Hospital of Baltimore, Baltimore, MD, USA.

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Classifications MeSH