Evidence map›Paper›PMID 36438214›Full record

ArticleFrontiers in public health2022

Interdisciplinary social needs response team: A community case study in social needs targeted care during the COVID-19 pandemic and beyond.

Isabelle Mullen, Melanie Agnes Mariano, Jaya Aysola

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. 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
0.6field-weighted citation impact, top 27% of its field
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, 2 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Isabelle MullenPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Melanie Agnes MarianoSchool of Nursing, University of Pennsylvania, Philadelphia, PA, United States.
Jaya AysolaPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case study illustrates the role and value of a social needs response team during times of crisis and beyond. The COVID-19 pandemic resulted in two simultaneous crises-the infectious disease crisis and the socioeconomic crisis. Unemployment and lost wages, housing and food insecurity, and increased childcare needs are just a few examples of the socioeconomic needs that skyrocketed during the COVID-19 pandemic. At the start of the pandemic, the University of Pennsylvania Health System (UPHS) formed an interdisciplinary team of physicians, social workers, nurse practitioners and students of these professions to reimagine social needs screening in a way that could reach people during the pandemic and provide sustainable support for individual's evolving social needs. The Social Needs Response Team (SNRT) at UPHS utilized various secure platforms to keep members of the team connected with each other and their patients. Orientations for participating students included training on how to employ principles of crisis intervention theory, empathetic inquiry, and patient-led and family-centered care to best uncover and serve the needs of their patients. Alongside the illustrative case study, this piece details guiding principles and concepts that are essential to integrating social needs targeted care.

Indexed as

COVID-19PhysiciansHumansPandemicsStudentsUnemploymentCOVID-19health care serviceshealth equityhealth systemsinterdisciplinarysocial needs targeted care

Identifiers

PMID36438214
PMCPMC9682102
OpenAlexW4308720165

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.