ArticleSexually transmitted infections2006
Sexual health problems managed in Australian general practice: a national, cross sectional survey.
Article in Sexually transmitted infections, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Diagnostic Accuracy of Commercial Large Language Models for Anogenital Skin Lesion Images: A Comparative Study of Gemini, Claude, and ChatGPT.The Journal of infectious diseases · 2026Article
- Decline in hospitalization for genital warts in the Veneto region after an HPV vaccination program: an observational study.BMC infectious diseases · 2017Observational
- Experiences of general practitioners in the Ga-Rankuwa and Mabopane areas in dealing with patients who have sexual problems.African journal of primary health care & family medicine · 2015Article
- Trends in sexually transmitted infections in the Netherlands, combining surveillance data from general practices and sexually transmitted infection centers.BMC family practice · 2010Article
Corrections and comments
- Commented on by
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo ascertain how frequently Australian general practitioners (GPs) identify sexual health (SH) problems, to gain understanding of how SH problems are managed in general practice and to determine the characteristics of GPs who manage them.
methodsA secondary analysis of data from the BEACH programme April 2000-March 2003. BEACH is a cross sectional national survey of GP activity: approximately 1000 GPs per year, each records details of 100 consecutive patient encounters. Initially, patient reasons for encounter (RFE), suggestive of a SH problem, were used to derive a list of SH problems (that is, doctor's diagnosis/problem label). Management of these problems was then investigated for all encounters with patients aged 12-49 years. The frequency of SH problems, their management and the characteristics of GPs managing them, were analysed using SAS.
resultsDuring 299,000 encounters with 2990 GPs, 3499 (1.17 per 100 encounters) STI/SH problems were managed, the majority (81.1%) in females. The most common in women were genital candidiasis, vaginal symptoms, urinary symptoms, and intermenstrual bleeding, and in men were testicular symptoms, genital warts, and urethritis. Tests to exclude specific STIs were seldom taken and symptomatic management was common. GPs managing SH problems were younger, more likely to be female, have fewer years in practice, work in larger practices; hold FRACGP status (all p = <0.001) than those GPs who managed none.
conclusionPatients seeking medical attention for SH problems are often managed by GPs. Tests to diagnose or exclude specific sexually transmitted infections are seldom ordered and symptomatic management is common. Strategies to improve management of SH problems in general practice need to be developed and evaluated.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.