ArticleThe International journal on drug policy2015
Perceptions of genetic testing and genomic medicine among drug users.
Article in The International journal on drug policy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Patients' perspectives related to ethical issues and risks in precision medicine: a systematic review.Frontiers in medicine · 2023Pooled it
- Informed consent, genomic research and mental health: A integrative review.Nursing ethics · 2022Review
- Clinicians' and Researchers' Views on Precision Medicine in Chronic Inflammation: Practices, Benefits and Challenges.Journal of personalized medicine · 2022Article
- Patients' and professionals' views related to ethical issues in precision medicine: a mixed research synthesis.BMC medical ethics · 2021Review
- Eliminating Racial/Ethnic Disparities in AIDS Clinical Trials in the United States: A Qualitative Exploration of an Efficacious Social/Behavioral Intervention.Journal of AIDS & clinical research · 2017Article
- Using qualitative data, people's perceptions, and the science of decision making to inform policy and improve hepatitis C care for people who use drugs.The International journal on drug policy · 2015Article
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 3 institutions in 1 country.
Funding
Abstract
backgroundGenetic testing will soon enter care for human immunodeficiency virus (HIV) and hepatitis C virus (HCV), and for addiction. There is a paucity of data on how to disseminate genetic testing into healthcare for marginalized populations. We explored drug users' perceptions of genetic testing.
methodsSix focus groups were conducted with 34 drug users recruited from syringe exchange programmes and an HIV clinic between May and June 2012. Individual interviews were conducted with participants reporting previous genetic testing.
resultsAll participants expressed acceptance of genetic testing to improve care, but most had concerns regarding confidentiality and implications for law enforcement. Most expressed more comfort with genetic testing based on individual considerations rather than testing based on race/ethnicity. Participants expressed comfort with genetic testing in medical care rather than drug treatment settings and when specifically asked permission, with peer support, and given a clear rationale.
conclusionAlthough participants understood the potential value of genetic testing, concerns regarding breaches in confidentiality and discrimination may reduce testing willingness. Safeguards against these risks, peer support, and testing in medical settings based on individual factors and with clear rationales provided may be critical in efforts to promote acceptance of genetic testing among drug users.
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.