Aggressive Inpatient Care at the End of Life for Patients With Head and Neck Cancer

Receiving PC at the EoL was associated with less aggressive interventions and costly hospitalization. Further research should examine these associations using prospective designs and evaluate whether increased PC referral and early uptake might help diminish poor quality of care and costly hospitalizations.

Authors

Institutions

Publication Details

Journal
Head & Neck
Published
2026-01-20
DOI
https://doi.org/10.1002/hed.70166
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aggressive Inpatient Care at the End of Life for Patients With Head and Neck Cancer

Rotem Kimia, Monica H. Bodd, Karleen F. Giannitrapani, Soraya Fereydooni
Head & Neck
Palliative Care and End-of-Life Issues
article

Aggressive Inpatient Care at the End of Life for Patients With Head and Neck Cancer

Rotem Kimia, Monica H. Bodd, Karleen F. Giannitrapani, Soraya Fereydooni
article en

Abstract

Receiving PC at the EoL was associated with less aggressive interventions and costly hospitalization. Further research should examine these associations using prospective designs and evaluate whether increased PC referral and early uptake might help diminish poor quality of care and costly hospitalizations.

Head & Neck
Tufts Medical Center (US), Palo Alto University (US), Yale University (US), Stanford Health Care (US), Yale New Haven Health System (US)
No poverty
Openalex Percentile: Top 84%
Palliative Care and End-of-Life Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.