Evidence map›Paper›PMID 29611018›Full record

ArticleJournal of immigrant and minority health2018

The Who, What, Why and When of Gynaecological Referrals for Refugee Women.

Sarah L Silverberg, Lacey Harding, Rachel F Spitzer, Meb Rashid

Abstract read
PubMed Publisher
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Sarah L SilverbergFaculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON, Canada. sarah.silverberg@mail.utoronto.ca.ORCID http://orcid.org/0000-0003-2046-5879
Lacey HardingFaculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON, Canada.
Rachel F SpitzerFaculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON, Canada.
Meb RashidFaculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON, Canada.
University of Toronto · CAMount Sinai Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Refugees have health needs relating to unstable living situations and poor access to care. We examined the nature of health problems requiring gynaecological referrals for refugee women in Toronto. A retrospective cohort design was used to examine gynaecologic referrals of women at a refugee clinic between December, 2011 and June, 2016. The primary outcome measure was the indications for gynaecological referral. 125 out of 1040 women received a gynaecologic referral for 131 unique concerns. The most common referrals were for abnormal uterine bleeding and cervical dysplasia. Fibroids were prevalent amongst African patients, while referrals for LARCs/sterilization were absent from Middle Eastern patients. 26% of patients referred had a sexual violence history. Refugee women exhibit gynaecologic needs similar to the broader population. Needs vary by geographic origins. As global conflicts shift, so too will this population's needs. High rates of sexual violence history reflect the need for further understanding and intervention.

Indexed as

Women's HealthAdolescentAdultAgedCanadaFemaleGynecologyHumansMiddle AgedReferral and ConsultationRefugeesRetrospective StudiesSex OffensesSocioeconomic FactorsSterilization, ReproductiveUterine Cervical DiseasesGynaecologyPrimary health careRefugeesWomen’s health

Identifiers

PMID29611018
OpenAlexW2796360124

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.