Evidence map›Paper›PMID 37873240›Full record

ArticlemedRxiv : the preprint server for health sciences2023

The effect of primary health care on AIDS incidence and mortality: a cohort study of 3.4 million Brazilians.

Priscila Fps Pinto, James Macinko, Andréa F Silva, Iracema Lua, Gabriela Jesus, Laio Magno, Carlos As Teles Santos, Maria Yury Ichihara, Mauricio L Barreto, Corrina Moucheraud and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Priscila Fps PintoInstitute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil.
James MacinkoDepartments of Health Policy and Management and Community Health Sciences, Fielding School of Public Health, University of California (UCLA), Los Angeles, California, The United States of America (USA).
Andréa F SilvaInstitute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil.
Iracema LuaInstitute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil.
Gabriela JesusInstitute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil.
Laio MagnoDepartment of Life Sciences, State University of Bahia (UNEB), Salvador, Brazil.
Carlos As Teles SantosThe Centre for Data and Knowledge Integration for Health (CIDACS-Fiocruz), Salvador, Brazil.
Maria Yury IchiharaThe Centre for Data and Knowledge Integration for Health (CIDACS-Fiocruz), Salvador, Brazil.
Mauricio L BarretoThe Centre for Data and Knowledge Integration for Health (CIDACS-Fiocruz), Salvador, Brazil.
Corrina MoucheraudDepartments of Health Policy and Management and Community Health Sciences, Fielding School of Public Health, University of California (UCLA), Los Angeles, California, The United States of America (USA).
Luis E SouzaInstitute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil.
Inês DouradoInstitute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil.
Davide RasellaInstitute of Collective Health, Federal University of Bahia (ISC/UFBA), Salvador, Brazil.
Universidade Federal da Bahia · BRUniversidade do Estado da Bahia · BR

Funding

The impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: an integrated retrospective and forecasting approach based on a cohort of 100 million BraziliansR01AI152938 · NIAID · FEDERAL UNIVERSITY OF BAHIA · PI RASELLA, DAVIDE · 2020 to 2024
$2.0M
NIAID NIH HHS R01 AI152938
6 · The paper itself

Abstract

Background: Primary Health Care (PHC) is essential for the health and wellbeing of people living with HIV/AIDS. This study evaluated the effects of one of the largest community-based PHC programs in the world, the Brazilian Family Health Strategy (FHS), on AIDS incidence and mortality. Methods: A retrospective cohort study carried out in Brazil, from January 1 2007 to December 31 2015. We conducted a quasi-experimental effect evaluation using a cohort of 3,435,068 ≥13 years low-income individuals who were members of the 100 Million Brazilians Cohort, linked to AIDS diagnoses and deaths registries. We evaluated the effect of FHS on AIDS incidence and mortality and comparing outcomes between residents of municipalities with no FHS coverage with those in municipalities with full FHS coverage. We used multivariable Poisson regressions adjusted for all relevant municipal and individual-level demographic, socioeconomic, and contextual variables, and weighted with inverse probability of treatment weighting (IPTW). We also estimated FHS effect by sex and age, and performed a wide range of sensitivity and triangulation analyses. Findings: FHS coverage was associated with lower AIDS incidence (rate ratio [RR]:0.76, 95%CI:0.68-0.84) and mortality (RR:0.68,95%CI:0.56-0.82). FHS effect was similar between men and women, but was larger in people aged ≥35 years old both for incidence (RR 0.62, 95%CI:0.53-0.72) and mortality (RR 0.56, 95%CI:0.43-0.72). Conclusions: AIDS should be an avoidable outcome for most people living with HIV today, and our study shows that FHS coverage could significantly reduce AIDS incidence and mortality among low-income populations in Brazil. Universal access to comprehensive healthcare through community-based PHC programs should be promoted to achieve the Sustainable Development Goals of ending AIDS by 2030.

Indexed as

BrazilCommunity HealthHealth InequalityHIV/AIDSPrimary Health CareSocial Determinants of Health

Identifiers

PMID37873240
PMCPMC10593023
OpenAlexW4387338650

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.