Evidence map›Paper›PMID 26352385›Full record

ArticleJournal of public health management and practice : JPHMP

From Theory to Practice: Implementation of a Resource Allocation Model in Health Departments.

Emine Yaylali, Paul G Farnham, Karen L Schneider, Stewart J Landers, Oskian Kouzouian, Arielle Lasry, David W Purcell, Timothy A Green, Stephanie L Sansom

Abstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Cost-Effectiveness of Frequent HIV Testing of High-Risk Populations in the United States.Journal of acquired immune deficiency syndromes (1999) · 2016
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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

9 authors.

Emine YaylaliDivision of HIV/AIDS Prevention, National Center for HIV, Hepatitis, STD and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Drs Yaylali, Farnham, Lasry, Purcell, Green, and Sansom); John Snow, Inc, Boston, Massachusetts (Drs Schneider and Landers); and Office of HIV/AIDS and Infectious Disease Policy, US Department of Health and Human Services, Washington, District of Columbia (Dr Kouzouian).
Paul G Farnham
Karen L Schneider
Stewart J Landers
Oskian Kouzouian
Arielle Lasry
David W Purcell
Timothy A Green
Stephanie L Sansom

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo develop a resource allocation model to optimize health departments' Centers for Disease Control and Prevention (CDC)-funded HIV prevention budgets to prevent the most new cases of HIV infection and to evaluate the model's implementation in 4 health departments. DESIGN, SETTINGS, AND

participantsWe developed a linear programming model combined with a Bernoulli process model that allocated a fixed budget among HIV prevention interventions and risk subpopulations to maximize the number of new infections prevented. The model, which required epidemiologic, behavioral, budgetary, and programmatic data, was implemented in health departments in Philadelphia, Chicago, Alabama, and Nebraska.

main outcome measuresThe optimal allocation of funds, the site-specific cost per case of HIV infection prevented rankings by intervention, and the expected number of HIV cases prevented.

resultsThe model suggested allocating funds to HIV testing and continuum-of-care interventions in all 4 health departments. The most cost-effective intervention for all sites was HIV testing in nonclinical settings for men who have sex with men, and the least cost-effective interventions were behavioral interventions for HIV-negative persons. The pilot sites required 3 to 4 months of technical assistance to develop data inputs and generate and interpret the results. Although the sites found the model easy to use in providing quantitative evidence for allocating HIV prevention resources, they criticized the exclusion of structural interventions and the use of the model to allocate only CDC funds.

conclusionsResource allocation models have the potential to improve the allocation of limited HIV prevention resources and can be used as a decision-making guide for state and local health departments. Using such models may require substantial staff time and technical assistance. These model results emphasize the allocation of CDC funds toward testing and continuum-of-care interventions and populations at highest risk of HIV transmission.

Indexed as

AlabamaChicagoHealth Care RationingHIV InfectionsHumansNebraskaPhiladelphiaProgram EvaluationPublic HealthResource Allocation

Identifiers

PMID26352385
PMCPMC4887404

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.