Literature DB >> 1547899

A method for calculating rates of induced abortion.

K G Foreit1, D L Nortman.   

Abstract

Accurate measurement of induced abortion is necessary for understanding the fertility dynamics of a population and for making projections about the future. Changes in abortion rates can amplify or dampen the impact of changes in contraception. This paper presents a methodology for calculating marital induced abortion rates from observed marital fertility and contraceptive prevalence and for modeling the impact of substituting contraception for abortion on future fertility. The methodology is validated against observed abortion complications in three populations, and the impact of substituting contraception for abortion on expected fertility is demonstrated.

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Year:  1992        PMID: 1547899

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  6 in total

Review 1.  Collecting data on pregnancy loss: a review of evidence from the World Fertility Survey.

Authors:  J B Casterline
Journal:  Stud Fam Plann       Date:  1989 Mar-Apr

Review 2.  Contraceptive failure in the United States: a critical review of the literature.

Authors:  J Trussell; K Kost
Journal:  Stud Fam Plann       Date:  1987 Sep-Oct

Review 3.  The demographic effect of induced abortion.

Authors:  C Tietze; J Bongaarts
Journal:  Obstet Gynecol Surv       Date:  1976-10       Impact factor: 2.347

4.  The use of hospital resources to treat incomplete abortions: examples from Latin America.

Authors:  J A Fortney
Journal:  Public Health Rep       Date:  1981 Nov-Dec       Impact factor: 2.792

5.  The transition in Korean family planning behavior, 1935-1976: a retrospective cohort analysis.

Authors:  J R Foreit
Journal:  Stud Fam Plann       Date:  1982 Aug-Sep

Review 6.  Induced abortion in sub-Saharan Africa: what we do and do not know.

Authors:  F M Coeytaux
Journal:  Stud Fam Plann       Date:  1988 May-Jun
  6 in total
  1 in total

1.  Relying on surveys to understand abortion behavior: some cautionary evidence.

Authors:  R Jagannathan
Journal:  Am J Public Health       Date:  2001-11       Impact factor: 9.308

  1 in total

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