Evidence map›Paper›PMID 26605512›Full record

ArticleAIDS (London, England)2016

State variation in HIV/AIDS health outcomes: the effect of spending on social services and public health.

Kristina M Talbert-Slagle, Maureen E Canavan, Erika M Rogan, Leslie A Curry, Elizabeth H Bradley

Abstract read
In one paragraph

Article in AIDS (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Kristina M Talbert-SlagleDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA.
Maureen E Canavan
Erika M Rogan
Leslie A Curry
Elizabeth H Bradley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDespite considerable advances in the prevention and treatment of HIV/AIDS, the burden of new infections of HIV and AIDS varies substantially across the country. Previous studies have demonstrated associations between increased healthcare spending and better HIV/AIDS outcomes; however, less is known about the association between spending on social services and public health spending and HIV/AIDS outcomes. We sought to examine the association between state-level spending on social services and public health and HIV/AIDS case rates and AIDS deaths across the United States.

designWe conducted a retrospective, longitudinal study of the 50 U.S. states over 2000-2009 using a dataset of HIV/AIDS case rates and AIDS deaths per 100 000 people matched with a unique dataset of state-level spending on social services and public health per person in poverty.

methodsWe estimated multivariable regression models for each HIV/AIDS outcome as a function of the social service and public health spending 1 and 5 years earlier in the state, adjusted for the log of state GDP per capita, regional and time fixed effects, Medicaid spending as % of GDP, and socio-demographic, economic, and health resource factors.

resultsStates with higher spending on social services and public health per person in poverty had significantly lower HIV and AIDS case rates and fewer AIDS deaths, both 1 and 5 years post expenditure (P ≤ 0.05).

conclusionOur findings suggest that spending on social services and public health may provide a leverage point for state policymakers to reduce HIV/AIDS case rates and AIDS deaths in their state.

Indexed as

Health ExpendituresAdultAgedAged, 80 and overFemaleHIV InfectionsHumansLongitudinal StudiesMaleMiddle AgedPrevalencePublic HealthRetrospective StudiesSocial WorkSurvival AnalysisUnited States

Identifiers

PMID26605512
PMCPMC4732004

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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.