• Title of article

    Estimating The Annual Abortion Rate in Kerman, Iran: Comparison of Direct, Network Scale-Up, and Single Sample Count Methods

  • Author/Authors

    Zamanian, Maryam Department of Epidemiology - School of Health- Arak University of Medical Sciences , Zolala, Farzaneh Social Determinants in Health Research Center- Institute for Futures Studies in Health - Kerman University of Medical Sciences , Haghdoost, Ali Akbar HIV/STI Surveillance Research Center- and WHO Collaborating Center for HIV Surveillance - Institute for Futures Studies in Health - Kerman University of Medical Sciences , Baneshi, Mohammad Reza Modeling in Health Research Center - Institute for Futures Studies in Health - Kerman University of Medical Sciences

  • Pages
    6
  • From page
    209
  • To page
    214
  • Abstract
    Background: Abortion is a sensitive issue surrounded by social, cultural and religious stigmata. Therefore, estimation of its prevalence involves methodological challenges. The aim of this manuscript is to estimate the abortion prevalence, stratified by type, using a direct and two indirect methods. Materials and Methods: This cross-sectional study was done in 2016, we recruited 1020 women aging 18-49 years. Three methods were applied to estimate the abortion prevalence: direct question, network scale-up (NSU), and single sample count (SSC). In the direct method, to guarantee anonymity, data were collected by means of a self-administered questionnaire. In other methods, data were collected through gender-matched street-based interviews. Results: The annual rate of abortion estimated by direct and NSU methods were respectively 29 (10 intentional, 4 therapeutic and 15 spontaneous) and 23 (9 intentional, 3 therapeutic, and 11 spontaneous) per 1000 women aging 18-49 years. The annual rate of intentional abortion estimated based on SSC method was higher (15 per 1000 women) than other methods. Conclusion: The present estimates are higher than previously reported ones. The results of three methods more or less supported each other confirming the internal validity of our estimates.
  • Keywords
    Kerman , Abortion , Indirect , Network Scale-Up , Single Sample Count
  • Journal title
    Astroparticle Physics
  • Serial Year
    2019
  • Record number

    2450700