ReviewPsychology, health & medicine2010
Are we going to close social gaps in HIV? Likely effects of behavioral HIV-prevention interventions on health disparities.
Review in Psychology, health & medicine, 2010. 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, 9 citations in OpenAlex.
- The impact of multiple-behavior HIV interventions as a function of regional disadvantages: An analysis of syndemics.Journal of consulting and clinical psychology · 2023Pooled it
- Determinants of behaviour and their efficacy as targets of behavioural change interventions.Nature reviews. Psychology · 2024Article
- Multidimensional targeting for tailoring: a comment on Ogden (2016).Health psychology review · 2016Article
- Disparities in attention to HIV-prevention information.AIDS care · 2016Observational
- The promises and challenges of pre-exposure prophylaxis as part of the emerging paradigm of combination HIV prevention.Journal of the International AIDS Society · 2015Article
- PrEP Implementation Science: State-of-the-Art and Research Agenda.Journal of the International AIDS Society · 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
2 authors at 1 institution in 1 country.
Funding
Abstract
Although experimental behavioral interventions to prevent HIV are generally designed to correct undesirable epidemiological trends, it is presently unknown whether the resulting body of behavioral interventions is adequate to correct the social disparities in HIV-prevalence and incidence present in the United States. Two large, diverse-population meta-analytic databases were reanalyzed to estimate potential perpetuation and change in demographic and behavioral gaps as a result of introducing the available behavioral interventions advocating condom use. This review suggested that, if uniformly applied across populations, the analyzed set of experimental (i.e. under testing) interventions is well poised to correct the higher prevalence and incidence among males (vs. females) and African-Americans and Latinos (vs. other groups), but ill poised to correct the higher prevalence and incidence among younger (vs. older) people, as well as men who have sex with men, injection-drug users, and multiple partner heterosexuals (vs. other behavioral groups). Importantly, when the characteristics of the interventions most efficacious for each population were included in the analyses of behavior change, results replicated with three exceptions. Specifically, after accounting for interactions of intervention and facilitator features with characteristics of the recipient population (e.g. gender), there was no behavior change bias for men who have sex with men, younger individuals changed their behavior more than older individuals, and African-Americans changed their behavior less than other groups.
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.