2 datasets found
  1. f

    Characteristics of women obtaining induced abortions in selected low- and...

    • plos.figshare.com
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    Updated Jun 1, 2023
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    Sophia Chae; Sheila Desai; Marjorie Crowell; Gilda Sedgh; Susheela Singh (2023). Characteristics of women obtaining induced abortions in selected low- and middle-income countries [Dataset]. http://doi.org/10.1371/journal.pone.0172976
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sophia Chae; Sheila Desai; Marjorie Crowell; Gilda Sedgh; Susheela Singh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundIn 2010–2014, approximately 86% of abortions took place in low- and middle-income countries (LMICs). Although abortion incidence varies minimally across geographical regions, it varies widely by subregion and within countries by subgroups of women. Differential abortion levels stem from variation in the level of unintended pregnancies and in the likelihood that women with unintended pregnancies obtain abortions.ObjectivesTo examine the characteristics of women obtaining induced abortions in LMICs.MethodsWe use data from official statistics, population-based surveys, and abortion patient surveys to examine variation in the percentage distribution of abortions and abortion rates by age at abortion, marital status, parity, wealth, education, and residence. We analyze data from five countries in Africa, 13 in Asia, eight in Europe, and two in Latin America and the Caribbean (LAC).ResultsWomen across all sociodemographic subgroups obtain abortions. In most countries, women aged 20–29 obtained the highest proportion of abortions, and while adolescents obtained a substantial fraction of abortions, they do not make up a disproportionate share. Region-specific patterns were observed in the distribution of abortions by parity. In many countries, a higher fraction of abortions occurred among women of high socioeconomic status, as measured by wealth status, educational attainment, and urban residence. Due to limited data on marital status, it is unknown whether married or unmarried women make up a larger share of abortions.ConclusionsThese findings help to identify subgroups of women with disproportionate levels of abortion, and can inform policies and programs to reduce the incidence of unintended pregnancies; and in LMICs that have restrictive abortion laws, these findings can also inform policies to minimize the consequences of unsafe abortion and motivate liberalization of abortion laws. Program planners, policymakers, and advocates can use this information to improve access to safe abortion services, postabortion care, and contraceptive services.

  2. f

    Context and explanation for reported proportion of abortion later in...

    • plos.figshare.com
    xls
    Updated Dec 5, 2024
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    Laura E. Jacobson; Blair G. Darney; Heidi Bart Johnston; Bela Ganatra (2024). Context and explanation for reported proportion of abortion later in pregnancy. [Dataset]. http://doi.org/10.1371/journal.pgph.0003965.t005
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    xlsAvailable download formats
    Dataset updated
    Dec 5, 2024
    Dataset provided by
    PLOS Global Public Health
    Authors
    Laura E. Jacobson; Blair G. Darney; Heidi Bart Johnston; Bela Ganatra
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Context and explanation for reported proportion of abortion later in pregnancy.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Sophia Chae; Sheila Desai; Marjorie Crowell; Gilda Sedgh; Susheela Singh (2023). Characteristics of women obtaining induced abortions in selected low- and middle-income countries [Dataset]. http://doi.org/10.1371/journal.pone.0172976

Characteristics of women obtaining induced abortions in selected low- and middle-income countries

Explore at:
51 scholarly articles cite this dataset (View in Google Scholar)
pdfAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
PLOS ONE
Authors
Sophia Chae; Sheila Desai; Marjorie Crowell; Gilda Sedgh; Susheela Singh
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

BackgroundIn 2010–2014, approximately 86% of abortions took place in low- and middle-income countries (LMICs). Although abortion incidence varies minimally across geographical regions, it varies widely by subregion and within countries by subgroups of women. Differential abortion levels stem from variation in the level of unintended pregnancies and in the likelihood that women with unintended pregnancies obtain abortions.ObjectivesTo examine the characteristics of women obtaining induced abortions in LMICs.MethodsWe use data from official statistics, population-based surveys, and abortion patient surveys to examine variation in the percentage distribution of abortions and abortion rates by age at abortion, marital status, parity, wealth, education, and residence. We analyze data from five countries in Africa, 13 in Asia, eight in Europe, and two in Latin America and the Caribbean (LAC).ResultsWomen across all sociodemographic subgroups obtain abortions. In most countries, women aged 20–29 obtained the highest proportion of abortions, and while adolescents obtained a substantial fraction of abortions, they do not make up a disproportionate share. Region-specific patterns were observed in the distribution of abortions by parity. In many countries, a higher fraction of abortions occurred among women of high socioeconomic status, as measured by wealth status, educational attainment, and urban residence. Due to limited data on marital status, it is unknown whether married or unmarried women make up a larger share of abortions.ConclusionsThese findings help to identify subgroups of women with disproportionate levels of abortion, and can inform policies and programs to reduce the incidence of unintended pregnancies; and in LMICs that have restrictive abortion laws, these findings can also inform policies to minimize the consequences of unsafe abortion and motivate liberalization of abortion laws. Program planners, policymakers, and advocates can use this information to improve access to safe abortion services, postabortion care, and contraceptive services.

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