Self-Declared Infertility and Demand for Treatment. Findings from the National Demographic and Health Survey (PNDS) 2006

Objectives: This article aims to identify and characterize women of reproductive age who declare themselves infertile or having difficulty conceiving and wish to have children, their demand for infertility treatments in public and private services, and their outcomes. Methods: This study is based on the data on infertility available from PNDS 2006, a national household survey designed using complex probabilistic sampling with approximately 15.000 women of reproductive age representing the five Brazilian macro-regions. Chi-square tests were adjusted to identify associations between infertility, treatment-seeking, and sociodemographic variables. We calculate Cramer’s V to measure the strength of the association between infertility and each sociodemographic variable of interest.

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Publication Details

Journal
Global Journal of Medical Research
Published
2024-09-14
DOI
https://doi.org/10.34257/gjmrevol24is1pg1
Primary Topic
Reproductive Health and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Self-Declared Infertility and Demand for Treatment. Findings from the National Demographic and Health Survey (PNDS) 2006

Sandra Garcia, José Eudes Barroso Vieira
Global Journal of Medical Research
Reproductive Health and Technologies
article

Self-Declared Infertility and Demand for Treatment. Findings from the National Demographic and Health Survey (PNDS) 2006

Sandra Garcia, José Eudes Barroso Vieira
article en

Abstract

Objectives: This article aims to identify and characterize women of reproductive age who declare themselves infertile or having difficulty conceiving and wish to have children, their demand for infertility treatments in public and private services, and their outcomes. Methods: This study is based on the data on infertility available from PNDS 2006, a national household survey designed using complex probabilistic sampling with approximately 15.000 women of reproductive age representing the five Brazilian macro-regions. Chi-square tests were adjusted to identify associations between infertility, treatment-seeking, and sociodemographic variables. We calculate Cramer’s V to measure the strength of the association between infertility and each sociodemographic variable of interest.

Global Journal of Medical Research
Gender equality
Openalex Percentile: Top 72%
Reproductive Health and Technologies
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