Evidence map›Paper›PMID 28589486›Full record

ArticleJournal of immigrant and minority health2018

Tensions and Coping Strategies in Ethnically Mixed Teams: Findings from a Study in Two Emergency Departments.

Yael Keshet, Benidor Raviv, Ariela Popper-Giveon, Alexander Strizhevski, Ashraf Abu-Khella

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In one paragraph

Article in Journal of immigrant and minority health, 2018. 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, top 91% 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, 6 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

5 authors at 4 institutions in 1 country.

Yael KeshetWestern Galilee College, P.O. Box 2125, Akko, 24121, Israel. yaelk@wgalil.ac.il.
Benidor RavivGalilee Medical Center, Highway 89, P.O. BOX 2, Nahariya, 22100, Israel.
Ariela Popper-GiveonThe David Yellin Academic College of Education, Jerusalem, Israel.
Alexander StrizhevskiRambam Health Care Campus, Haifa, Israel.
Ashraf Abu-KhellaGalilee Medical Center, Highway 89, P.O. BOX 2, Nahariya, 22100, Israel.
Western Galilee Hospital · ILDavid Yellin College of Education · ILRambam Health Care Campus · ILWestern Galilee College · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diversity of the workforce in healthcare facilities, representative of the general population's ethnic/racial composition, is an important health priority. Nevertheless, this diversity may generate tensions. The objective of the study was to assess tensions and coping strategies among ethnic minority and majority healthcare workers. A questionnaire was delivered to 60 healthcare workers employed in emergency departments in two hospitals, where Jewish majority and Arab minority workers care for a mixed Jewish and Arab population. Internal consistency reliability was assessed and the survey data were statistically analyzed. Several differences were found between Arab and Jewish healthcare workers. The questionnaire may be used to examine tensions in other healthcare systems, characterized by ethnic/racial diversity in the workforce. By exploring ethnic/racial tensions, health organizations should be able to manage them better and reduce their frequency.

Indexed as

Adaptation, PsychologicalPatient Care TeamAdultArabsAttitude of Health PersonnelCultural DiversityEmergency Service, HospitalEthnicityFemaleHumansIsraelJewsMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesArabsConflictEthnic minorityHealthcare workforce diversityIsrael

Identifiers

PMID28589486
OpenAlexW2624606273

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.