Evidence map›Paper›PMID 33962538›Full record

ArticleAnnual review of clinical psychology2021

Designing Evidence-Based Preventive Interventions That Reach More People, Faster, and with More Impact in Global Contexts.

Mary Jane Rotheram-Borus

Abstract read
In one paragraph

Article in Annual review of clinical psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Mary Jane Rotheram-BorusDepartment of Psychiatry, University of California, Los Angeles, California 90024, USA; email: mrotheram@mednet.ucla.edu.

Funding

Optimizing the HIV Treatment Continuum with a Stepped Care Model for Youth Living with HIVU19HD089886 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FERNANDEZ, MARIA ISABEL, ROTHERAM-BORUS, MARY JANE · 2016 to 2022
$23.4M
An RCT to Improve the South African Government's Community Health Workers' Capacities to Deliver Evidence-based Interventions for Optimizing HIV Outcomes and Reducing its ComorbiditiesR01MH111391 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROTHERAM-BORUS, MARY JANE · 2016 to 2020
$2.8M
NICHD NIH HHS U19 HD089886NIMH NIH HHS R01 MH111391
6 · The paper itself

Abstract

This article demonstrates the substantial similarities globally among preventive, evidence-based interventions (EBIs) designed to address HIV by providing four examples: an HIV family-focused intervention, the Community Popular Opinion Leader intervention, a South African maternal/child health program, and an EBI for sex workers in India. Each identified the key problems in the target population, utilized well-established social cognitive theories, created processes for engaging the target population, set standards for staff accountability, and included routine data collection to facilitate iterative program improvements over time. Building EBIs based on these common, robust features is an alternative design strategy to replication with fidelity. These components provide a road map for researchers, especially those using new technologies, and for local providers seeking to deliver EBIs that match their clients' and communities' needs. Technology platforms and community organizations may serve as resources for designers of the next generation of EBIs, offering an alternative to repeatedly validating the same interventions and replicating them with fidelity.

Indexed as

HIV InfectionsPrimary PreventionChildHumansevidence-based interventionsiterative quality improvementsocial cognitive theoriestechnology platforms for intervention delivery

Identifiers

PMID33962538
PMCPMC10015738

What OpenQuestion holds

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Registered trials

None linked

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.