Evidence map›Paper›PMID 29393967›Full record

ArticleCancer2018

Inpatient utilization and disparities: The last year of life of adolescent and young adult oncology patients in California.

Emily E Johnston, Elysia Alvarez, Olga Saynina, Lee M Sanders, Smita Bhatia, Lisa J Chamberlain

Abstract read
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Disparities in place of death for patients with primary brain tumors and brain metastases in the USA.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. End-of-Life Care Intensity in Patients Undergoing Allogeneic Hematopoietic Cell Transplantation: A Population-Level Analysis.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Emily E JohnstonDivision of Pediatric Hematology/Oncology, Stanford University School of Medicine, Palo Alto, California.ORCID 0000-0001-9126-2169
Elysia AlvarezDivision of Pediatric Hematology/Oncology, Stanford University School of Medicine, Palo Alto, California.ORCID 0000-0002-1615-2848
Olga SayninaCenter for Health Policy/Center for Primary Care and Outcomes Research, Stanford University, Palo Alto, California.
Lee M SandersCenter for Health Policy/Center for Primary Care and Outcomes Research, Stanford University, Palo Alto, California.
Smita BhatiaInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-7755-5683
Lisa J ChamberlainCenter for Health Policy/Center for Primary Care and Outcomes Research, Stanford University, Palo Alto, California.

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Spectrum Stanford Center for clinical and Translational Research and EducationKL2TR001083 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$4.9M
NCATS NIH HHS KL2 TR001083NCATS NIH HHS UL1 TR001085
6 · The paper itself

Abstract

backgroundStudies of adolescent and young adult (AYA) oncology end-of-life care utilization are critical because cancer is the leading cause of nonaccidental AYA death and end-of-life care contributes significantly to health care expenditures. This study was designed to determine the quantity of and disparities in inpatient utilization in the last year of life of AYAs with cancer.

methodsThe California Office of Statewide Health Planning and Development administrative discharge database, linked to death certificates, was used to perform a population-based analysis of cancer patients aged 15 to 39 years who died in 2000-2011. The number of hospital days and the inpatient costs were determined for each patient in the last year of his or her life, as were clinical and sociodemographic factors associated with high inpatient utilization. Admission patterns as death approached were also evaluated.

resultsThe 12,883 patients were admitted for 40 days on average in the last year of life, and this cost $151,072 per patient in inpatient costs. As death approached, the admission rates and the percentage of all admissions occurring at nonspecialty centers increased. Five percent of patients used 20% of bed days in the last year (high utilizers). Factors associated with high utilization included younger age (15-30 years), Hispanic ethnicity, non-health maintenance organization insurance, and hematologic malignancies.

conclusionsAYA oncology decedents were admitted for 40 days in their last year of life. Subgroups with high utilization had distinct sociodemographic and clinical characteristics, and nonspecialty center admissions increased as death approached. This demonstrates the need for palliative care at nonspecialty centers. Future studies need to determine whether these patterns are goal-concurrent, include high utilizers, and monitor the effects of health care reform. Cancer 2018;124:1819-27. © 2018 American Cancer Society.

Indexed as

AdolescentAdultAge FactorsCaliforniaFemaleHealthcare DisparitiesHealth Services Needs and DemandHispanic or LatinoHospitalizationHumansMaleNeoplasmsPalliative CarePatient Acceptance of Health CarePatient PreferenceRetrospective Studiesadolescentend-of-lifeintensityoncologyutilizationyoung adult

Identifiers

PMID29393967
PMCPMC5891351

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.