Trial reportBMC public health2015
Contact & connect--an intervention to reduce depression stigma and symptoms in construction workers: protocol for a randomised controlled trial.
Trial report in BMC public health, 2015. 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, 24 citations in OpenAlex.
- Perceptions of mental health, suicide and working conditions in the construction industry-A qualitative study.PloS one · 2024Article
- Examining burnout in the electrical sector in Ontario, Canada: A cross-sectional study.AIMS public health · 2023Article
- Mental Health Outcomes among Electricians and Plumbers in Ontario, Canada: Analysis of Burnout and Work-Related Factors.Behavioral sciences (Basel, Switzerland) · 2022Article
- A smart-phone intervention to address mental health stigma in the construction industry: A two-arm randomised controlled trial.SSM - population health · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMales employed in the construction industry have high rates of suicide. Although reasons underpinning this risk are multifaceted, poor help-seeking and stigma are represent major contributors. Males in the construction industry are also exposed to other risk factors for mental ill health and suicide, including unemployment. Sigma-reducing interventions that are accessible and attractive to recently unemployed males in the construction industry could therefore improve help-seeking, and address depression and suicidal behaviour in this population. METHODS/
designContact&Connect will use a parallel individual randomized design to evaluate the effectiveness of a multimedia-based intervention aimed at reducing stigma. The intervention consists of a package of 12 brief contact interventions (BCIs) delivered over a six month period. BCIs will direct participants to informational programs and microsites. Content will address three major themes: debunking depression myths and stereotypes, normalisation, and empowerment. Target enrollment is 630 (315 in each arm), each to be followed for 12 months. Eligible participants will be males, between 30 and 64 years, unemployed at the time of recruitment, registered with Incolink (a social welfare trustee company for unemployed members of the construction industry), and own a smart phone with enabled internet connectivity. DISCUSSION: At present, there are no programs that have been shown to be effective in reducing stigma in the blue-collar male population. Contact&Connect promises to provide a tailored, efficient, and scalable approach to reducing stigma, depressive symptoms and suicidality among unemployed males.
trial registrationAustralian New Zealand Clinical Trials Register ACTRN12615000792527 (date of registration: 30 July, 2015).
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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.