ArticleBMJ open2018
Drug use in street sex workers (DUSSK) study protocol: a feasibility and acceptability study of a complex intervention to reduce illicit drug use in drug-dependent female street sex workers.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 8 citations in OpenAlex.
- "You need money to get high, and that's the easiest and fastest way:" A typology of sex work and health behaviours among people who inject drugs.The International journal on drug policy · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPoor health of sex workers continues to be a source of international concern. Sex work is frequently linked with problematic drug use and drug-dependent sex workers typically work on the street, experiencing the greatest risks to health compared with the general population. Street sex workers (SSWs) are much more likely to have experienced incidences of physical and sexual assault, increasing their risk of developing post-traumatic stress disorder (PTSD). We have developed a novel complex intervention designed to reduce illicit drug use in drug-dependent female SSWs which involves: female SSW drug treatment groups (provided by a specialist charity) in a female SSW setting (female sex worker charity premises) provided by female-only staff, PTSD care with eye movement desensitisation and reprocessing (EMDR) therapy provided by female staff from National Health Service (NHS) mental health services. METHODS AND ANALYSIS: A mixed methods study investigating the feasibility and acceptability of this intervention to inform the design of a future randomised controlled trial. The study aims to recruit up to 30 participants from November 2017 to March 2018 at a single site, with the intervention being delivered until December 2018. It will gather quantitative data using questionnaires and group attendance. Drug treatment group observations and in-depth interviews undertaken with up to 20 service users and 15 service providers to examine experiences and acceptability of the intervention. Study feasibility will be assessed by evaluating the recruitment and retention of participants to the intervention; the feasibility of NHS and third sector organisations working closely to coordinate care for a SSW population; the potential for specialist NHS mental health services to screen and provide EMDR therapy for drug-dependent SSWs and potential costs of implementing the intervention. ETHICS AND DISSEMINATION: This study was approved by South West-Frenchay Research Ethics Committee (REC reference: 17/SW/0033; IRAS ID: 220631) and the Health Research Authority (HRA). Findings will be disseminated through research conferences and peer-reviewed journals.
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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.