Evidence map›Paper›PMID 34136559›Full record

ArticleFrontiers in sociology2021

Health Sciences Interprofessional Collaborative: A Perspective on Migration, COVID-19, and the Impact on Indigenous Communities.

Anna Landau, Brenda Sanchez, Lisa Kiser, Jill De Zapien, Elizabeth Hall-Lipsy, Diego Pina Lopez, Maia Ingram, Josefina Ahumada

Abstract read
In one paragraph

Article in Frontiers in sociology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Anna LandauUniversity of Arizona, Tucson, AZ, United States.
Brenda SanchezUniversity of Arizona, Tucson, AZ, United States.
Lisa KiserUniversity of Arizona, Tucson, AZ, United States.
Jill De ZapienUniversity of Arizona, Tucson, AZ, United States.
Elizabeth Hall-LipsyUniversity of Arizona, Tucson, AZ, United States.
Diego Pina LopezUniversity of Arizona, Tucson, AZ, United States.
Maia IngramUniversity of Arizona, Tucson, AZ, United States.
Josefina AhumadaArizona State University, Tempe, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the United States-Mexico border, the impacts of immigration policy are dynamic with political, humanitarian, and health outcomes. This article highlights the experiences at the Casa Alitas migrant shelter in Tucson, Arizona. Casa Alitas aims to meet the needs of the im/migrants it serves, including the unique needs of indigenous asylum-seekers from Central America. We highlight the importance of community-based humanitarian response to support asylum-seekers in a way that acknowledges our shared humanity and implements specific approaches (e.g., language justice and trauma informed care). The effort at Casa Alitas is unique because in addition to other partnerships, Casa Alitas established an interprofessional collaboration between the University of Arizona Health Sciences Colleges and the Arizona State University School of Social Work. The interprofessional collaboration encourages mutual education amongst our professions and the use of our extended networks to meet the needs of im/migrants and asylum seekers in our community and the United States. We recommend the development of best practices in asylum health care, the importance of creating border-wide networks to build on local resources, and highlight the importance of exposing future health practitioners to trauma informed and culturally and linguistically appropriate care.

Indexed as

asylumborder healthindigenousinterprofessionalmigration

Identifiers

PMID34136559
PMCPMC8200820

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.