Evidence map›Paper›PMID 41762125›Full record

ArticleThe American journal of hospice & palliative care2026

Hospice and Palliative Care During COVID-19 in New York City: Clinician-Reported Patient and Family Experiences and Lessons for Future Crises.

Junyi Lin, Shih-Yin Lin, Daniel David, Laura T Moreines, Emily Franzosa, Abraham A Brody, Melissa D Aldridge, Dena Schulman-Green

Abstract read
In one paragraph

Article in The American journal of hospice & palliative care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Junyi LinNYU Rory Meyers College of Nursing, New York, NY, USA.ORCID 0000-0003-4696-0392
Shih-Yin LinNYU Rory Meyers College of Nursing, New York, NY, USA.
Daniel DavidNYU Rory Meyers College of Nursing, New York, NY, USA.
Laura T MoreinesNYU Rory Meyers College of Nursing, New York, NY, USA.
Emily FranzosaIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Abraham A BrodyNYU Rory Meyers College of Nursing, New York, NY, USA.
Melissa D AldridgeIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Dena Schulman-GreenNYU Rory Meyers College of Nursing, New York, NY, USA.

Funding

The Impact of COVID-19 on End-of-Life Care for Vulnerable PopulationsR01NR019792 · NINR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALDRIDGE, MELISSA DIANE · 2021 to 2023
$1.7M
NINR NIH HHS R01 NR019792
6 · The paper itself

Abstract

ObjectivesThe COVID-19 pandemic complicated hospice and palliative care (HPC) experiences of patients and family caregivers. We sought to understand HPC professionals' perceptions of patients' and family caregivers' HPC experiences during the COVID-19 pandemic in New York City and to make recommendations for improving HPC delivery during future public health crises.MethodsThis was a qualitative descriptive study among a purposive, multidisciplinary sample of HPC team members at two large New York City metro hospice care organizations and one outpatient palliative care practice. Following individual interviews, we analyzed demographic data using descriptive statistics and interview data using inductive thematic analysis.ResultsParticipants (n = 30) included nurses, physicians, social workers, chaplains, community health workers, and administrators and averaged 17 years in their profession and 10 years in HPC. Three themes characterized their perspectives on patient and family caregiver HPC experiences.

Indexed as

COVID-19crisis preparednessfamilyhome hospicepalliative carepandemic

Identifiers

PMID41762125
PMCPMC12977021

What OpenQuestion holds

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Registered trials

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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.