Evidence map›Paper›PMID 38478352›Full record

ReviewCurrent HIV/AIDS reports2024

Synthetic Controls for Implementation Science: Opportunities for HIV Program Evaluation Using Routinely Collected Data.

Sara Wallach, Suzue Saito, Harriet Nuwagaba-Biribonwoha, Lenhle Dube, Matthew R Lamb

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current HIV/AIDS reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Sara WallachDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, 10032, USA. sara.wallach@columbia.edu.ORCID 0000-0003-3234-1988
Suzue SaitoMailman School of Public Health, ICAP at Columbia University, 722 West 168th Street, New York, 10032, USA.
Harriet Nuwagaba-BiribonwohaDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, 10032, USA.
Lenhle DubeGovernment of the Kingdom of Eswatini, Ministry of Health, Mbabane, Eswatini.
Matthew R LambDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, 10032, USA.ORCID 0000-0001-6457-3762

Funding

Global HIV Implementation Science Research Training Grant RenewalT32AI114398 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yael R Hirsch-Moverman · 2014 to 2026
$4.1M
National Institute of Allergy and Infectious Diseases of the National Institutes of Health T32AI114398NIAID NIH HHS T32 AI114398
6 · The paper itself

Abstract

purpose of reviewHIV service delivery programs are some of the largest funded public health programs in the world. Timely, efficient evaluation of these programs can be enhanced with methodologies designed to estimate the effects of policy. We propose using the synthetic control method (SCM) as an implementation science tool to evaluate these HIV programs. RECENT

findingsSCM, introduced in econometrics, shows increasing utility across fields. Key benefits of this methodology over traditional design-based approaches for evaluation stem from directly approximating pre-intervention trends by weighting of candidate non-intervention units. We demonstrate SCM to evaluate the effectiveness of a public health intervention targeting HIV health facilities with high numbers of recent infections on trends in pre-exposure prophylaxis (PrEP) enrollment. This test case demonstrates SCM's feasibility for effectiveness evaluations of site-level HIV interventions. HIV programs collecting longitudinal, routine service delivery data for many facilities, with only some receiving a time-specified intervention, are well-suited for evaluation using SCM.

Indexed as

HIV InfectionsImplementation ScienceProgram EvaluationHumansPre-Exposure ProphylaxisDesign-based methodsHIV PrEPImplementation scienceProgram evaluationSynthetic control method

Identifiers

PMID38478352
PMCPMC11129924

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Registered trials

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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.