Evidence map›Paper›PMID 27113932›Full record

ArticleJournal of immigrant and minority health2016

Importance of Interprofessional Healthcare for Vulnerable Refugee Populations.

Mary A Nies, Wei Yean Alyssa Lim, Kelly Fanning, Susan Tavanier

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Journal of immigrant and minority health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Conceptual Model for Home Based Primary Care of Older Refugees.Journal of immigrant and minority health · 2018
    Article
  6. Article
  7. Review
  8. 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

4 authors at 1 institution in 1 country.

Mary A NiesDivision of Health Sciences, Idaho State University, 921 S. 8th Avenue, Pocatello, ID, 83209, USA. niesmary@isu.edu.
Wei Yean Alyssa LimDivision of Health Sciences, Idaho State University, 921 S. 8th Avenue, Pocatello, ID, 83209, USA.
Kelly FanningDivision of Health Sciences, Idaho State University, 921 S. 8th Avenue, Pocatello, ID, 83209, USA.
Susan TavanierDivision of Health Sciences, Idaho State University, 921 S. 8th Avenue, Pocatello, ID, 83209, USA.
Idaho State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The refugee population in the United States is steadily increasing. These populations face a plethora of diseases and chronic health problems (i.e. obesity, hypertension and depression) as they resettle into their new environment. Due to the lack of understanding, minority population refugee health is scarce and minimal at best. Refugees and healthcare professionals face similar barriers when it comes to seeking treatment and treatment itself. For example, refugees might not be able to communicate efficiently and understand the referral process while healthcare professionals do not understand the culture and language of their patients. However, more data is needed to determine if interprofessional teams consisting of differing healthcare professionals such as nurses, pharmacists, and dieticians that conduct home visits might be able to bridge the health care gap between individualized treatment and refugee needs.

Indexed as

Interprofessional RelationsRefugeesVulnerable PopulationsCommunication BarriersCultural CompetencyHealth Knowledge, Attitudes, PracticeHealth Services AccessibilityHumansLanguageReferral and ConsultationUnited StatesChronic diseaseHealthcareInterprofessional teamsRefugee

Identifiers

PMID27113932
OpenAlexW2342928824

What OpenQuestion holds

Textmetadata
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.