Evidence map›Paper›PMID 30670509›Full record

ArticleBMJ open2019

Regional differences in chlamydia and gonorrhoeae positivity rate among heterosexual STI clinic visitors in the Netherlands: contribution of client and regional characteristics as assessed by cross-sectional surveillance data.

Hannelore M Götz, Louise Aam van Oeffelen, Christian J P A Hoebe, Birgit Hb van Benthem

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Estimated effect of reduced asymptomatic testing on missedThe Lancet regional health. Europe · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Characteristics of Patients Frequently Tested and Repeatedly Infected withInternational journal of environmental research and public health · 2020
    Article
  9. 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.

Hannelore M GötzCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Rotterdam, The Netherlands.ORCID 0000-0002-1236-6224
Louise Aam van OeffelenDepartment of Infectious Disease Control, Municipal Public Health Service Rotterdam-Rijnmond, Rotterdam, The Netherlands.
Christian J P A HoebeDepartment of Sexual Health, Infectious Diseases and Environmental Health, Public Health Service South Limburg, Geleen, The Netherlands.
Birgit Hb van BenthemCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess to what extent triage criteria, client and regional characteristics explain regional differences in

designRetrospective cross-sectional study on the Dutch STI surveillance database of all 24 STI clinics.

participantsSTI clinic visits of heterosexual persons in 2015 with a Ct (n=101 495) and/or Ng test (n=101 081). PRIMARY OUTCOME MEASURE: Ct and Ng positivity and 95% CI was assessed for each STI clinic. Two-level logistic regression analyses were performed to calculate the percentage change in regional variance (PCV) after adding triage criteria (model 1), other client characteristics (model 2) and regional characteristics (model 3) to the empty model. The contribution of single characteristics was determined after removing them from model 3.

resultsCt positivity was 14.9% and ranged from 12.6% to 20.0% regionally. Ng positivity was 1.7% and ranged from 0.8% to 3.8% regionally. For Ct, the PCV was 11.7% in model 1, 32.2% in model 2% and 59.3% in model 3. Age, notified for Ct (triage), level of education (other characteristics) and regional degree of urbanisation (region) explained variance most. For Ng, the PCV was 38.7% in model 1, 61.2% in model 2% and 69.1% in model 3. Ethnicity (triage), partner in risk group, level of education and neighbourhood (other characteristics) and regional socioeconomic status (SES) explained variance most. A significant part of regional variance remained unexplained.

conclusionsRegional variance was explained by differences in client characteristics, indicating that triage and self-selection influence positivity rates in the surveillance data.Clustering of Ng in low SES regions additionally explained regional variance in Ng; targeted interventions in low SES regions may assist Ng control. Including educational level as triage criterion is recommended. Studies incorporating prevalence data are needed to assess whether regional clustering underlies unexplained regional variance.

Indexed as

AdultAge DistributionAmbulatory Care FacilitiesChlamydia InfectionsChlamydia trachomatisCross-Sectional StudiesDatabases, FactualFemaleGonorrheaHeterosexualityHumansLogistic ModelsMaleNeisseria gonorrhoeaeNetherlandsPrevalencechlamydia trachomatisepidemiologygenitourinary medicineheterosexualneisseria gonorrhoeaepublic health

Identifiers

PMID30670509
PMCPMC6347934

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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.