RNOtherRevista da Escola de Enfermagem da U S P2023

Human immunodeficiency virus infection in pregnant women and its correlation with socioeconomic determinants.

Lidiane de Nazaré Mota Trindade, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues and 2 others

PMID 37997877

WHAT IT FOUND

HIV cases in pregnant women in Pará clustered in municipalities with higher human development index and average income, especially around Belém and Southeast Pará.

Low rates in Marajó may reflect underreporting, not absence of infection.

Key findings

01The analysis included 2,492 reported HIV cases in pregnant women, with a detection rate of 2.2 cases per 1,000 live births; 59.9% were aged 20 to 29 years and 42.7% had less than 8 years of education.

02Higher HIV detection rates clustered in municipalities in Southeast Pará, Northeast Pará, and the Metropolitan region of Belém.

03Municipalities with higher HIV detection rates in pregnant women clustered near areas with higher human development index and higher average monthly income, especially in Southeast Pará and the Metropolitan region of Belém.

STILL TO COME

How it was doneWhat they foundWhat it means for RNs

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What it does not show

The study used municipal notification data, so it describes areas, not individual pregnant women, and cannot show why any one woman acquired HIV. Cases may be underreported, especially in Marajó, where primary care and prenatal coverage are low, so low rates there may not mean low infection. Municipalities were the unit of analysis, so high and low areas can hide very different neighbourhoods within the same municipality. The data were from 2010 to 2017 and collected in 2018, so current local patterns may differ. The analysis did not test prenatal screening, treatment, or any nursing intervention, so it cannot show that these actions reduce transmission.

The easy way to misread this

Do not read the spatial clustering as evidence that higher income or development causes HIV in pregnant women. This was an ecological study of municipal notification data, not individual-level analysis, and low rates in Marajó may reflect underreporting.

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