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Determinants of abortion among youth 15-24 in Ethiopia: A multilevel analysis based on EDHS 2016.

Girma GilanoSamuel Hailegebreal
Published in: PloS one (2021)
Less abortion occurred in economically poor youths. It is a noble finding; however, the access problem might lead to the result. We observed more abortions in age <18years; those have not given birth until the data collection date. It portrays forth clear policy direction for politicians and all other stakeholders to intervene in the problem. The analysis also showed abortion increased with age. It shows that as age increased, youths disclose abortion which is rare at an early age, and again given an essential clue for the next interventions. The fact in this study is both age and marriage affected abortion similarly. It might be because of various culture-related perceptions where it is not appropriate for an unmarried woman to appear with any pregnancy outcome as the reason behind the decreased number of abortions at a younger age. Thus, more attention is required during implementation for unmarried and lower age youth regardless of the magnitude of the abortion.
Keyphrases
  • healthcare
  • mental health
  • primary care
  • physical activity
  • public health
  • machine learning
  • electronic health record
  • case report
  • pregnancy outcomes
  • big data
  • deep learning