ArticleSubstance use & misuse2015
The Flawed Reliance on Randomized Controlled Trials in Studies of HIV Behavioral Prevention Interventions for People Who Inject Drugs and Other Populations.
Article in Substance use & misuse, 2015. 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.
- Toward evaluation of disseminated effects of medications for opioid use disorder within provider-based clusters using routinely-collected health data.Statistics in medicine · 2022Article
- An Innovative Study Design to Assess the Community Effect of Interventions to Mitigate HIV Epidemics Using Transmission-Chain Phylodynamics.American journal of epidemiology · 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
3 authors.
Funding
Abstract
This article discusses ways in which randomized controlled trials do not accurately measure the impact of HIV behavioral interventions. This is because: 1. Such trials measure the wrong outcomes. Behavior change may have little to do with changes in HIV incidence since behavior change in events between HIV-concordant people have no impact on incidence. Even more important, the comparison of HIV incidence rates between study arms of individual-level RCTs does not measure the true outcome of interest-whether or not the intervention reduces HIV transmission at the community level. This is because this comparison cannot measure the extent to which the intervention stops transmission by HIV-infected people in the study to those outside it. (And this is made even worse if HIV-infected are excluded from the evaluation of the intervention.) 2. There are potential harms implicit in most cognitively oriented behavioral interventions that are not measured in current practice and may not be measurable using RCTs. Intervention trials often reinforce norms and values of individual self-protection. They rarely if ever measure whether doing this reduces community trust, solidarity, cohesion, organization, or activism in ways that might facilitate HIV transmission. 3. Many interventions are not best conceived of as interventions with individuals but rather with networks, cultures of risks, or communities. As such, randomizing individuals leads to effective interventions that diffuse protection through a community; but these are evaluated as ineffective because the changes diffuse to the control arm, which leads to systematic and erroneous reductions in the evaluated effectiveness as RCTs measure it. The paper ends by discussing research designs that are superior to individual-level RCTs at measuring whether an intervention reduces or increases new HIV transmission.
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.