Estimating Clandestine Abortion With The Confidants Method Results from Ouagadougou, Burkina Faso  

Oleh:

Rossier, Clementine ; Guiella, George ; Ouedraogo, Abdoulaye ; Thieba, Blandine

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Social Science & Medicine (www.elsevier.com/locate/sosscimed) vol. 62 no. 1 (Jan. 2006), page 254-266.
Topik: ABORTION; ABORSI; burkina fasgo; illegal abortion; incidence; complications; estimation technique; social networks

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: SS53.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Data on abortion in sub saharan africa are rare and non representative. This study presents a new method to collect quantitative data on clansdestine abortion, the confidants method, applied in 2001 in ouagadougou, burkina faso. Preliminary qualitative work showed that individuals aer aware of their close friends' induced abortions, women usually talk to their peers about the uintended pregnancy and ask them for help in locating illegal abortion providers. In a survey of 963 women of reproductive age representative of the city of ouagadoungou, we asked respondents to list their close relations, and for each of them, and for each of the 5 years preceding the survey, whether they had an induced abortions, and 14% of them received treatment in a hospital. Extrapolating these results to the entire city, we estimate that its hospitals treat about 1000 cases of abortion complications a year. Hospital data indicate that these centers admitted 984 induced abortions (adding all certainly, probably and possibly induced abortions in the WHO protocol) in 2001, the age distribution of patients admitted for induced abortion also corresponds to the confidants method's projections (certainly induced abortions only). At least two biases could affect the abortion rates estimated by the confidants method, pertaining to the selection of the sample of relations and to the varying number of third method used to estimate maternal mortality levels, might generate accurate estimates of illegal abortion in certain contexts if these two biases are controlled for. Further testing is necessary.

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