Evidence map›Paper›PMID 23238581›Full record

ArticleJournal of immigrant and minority health2014

Migration status, work conditions and health utilization of female sex workers in three South African cities.

Marlise Richter, Matthew F Chersich, Jo Vearey, Benn Sartorius, Marleen Temmerman, Stanley Luchters

Abstract readMulticenter Study
In one paragraph

Article in Journal of immigrant and minority health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
–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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Marlise RichterDepartment of Obstetrics and Gynaecology, International Centre for Reproductive Health, Ghent University, Ghent, Belgium, Marlise.richter@gmail.com.
Matthew F Chersich
Jo Vearey
Benn Sartorius
Marleen Temmerman
Stanley Luchters

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intersections between migration and sex work are underexplored in southern Africa, a region with high internal and cross-border population mobility, and HIV prevalence. Sex work often constitutes an important livelihood activity for migrant women. In 2010, sex workers trained as interviewers conducted cross-sectional surveys with 1,653 female sex workers in Johannesburg (Hillbrow and Sandton), Rustenburg and Cape Town. Most (85.3%) sex workers were migrants (1396/1636): 39.0% (638/1636) internal and 46.3% (758/1636) cross-border. Cross-border migrants had higher education levels, predominately worked part-time, mainly at indoor venues, and earned more per client than other groups. They, however, had 41% lower health service contact (adjusted odds ratio = 0.59; 95% confidence interval = 0.40-0.86) and less frequent condom use than non-migrants. Police interaction was similar. Cross-border migrants appear more tenacious in certain aspects of sex work, but require increased health service contact. Migrant-sensitive, sex work-specific health care and health education are needed.

Indexed as

AdultCross-Sectional StudiesDemographyFemaleHealth BehaviorHealth ServicesHumansRisk FactorsSex WorkersSouth AfricaTransients and MigrantsVulnerable PopulationsZimbabwe

Identifiers

PMID23238581
PMCPMC3895178

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.