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Record W2899906542 · doi:10.1371/journal.pone.0206967

Abortion care in Haiti: A secondary analysis of demographic and health data

2018· article· en· W2899906542 on OpenAlexaff
Kate Meffen, Gillian Burkhardt, Susan A. Bartels

Bibliographic record

VenuePLoS ONE · 2018
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsQueen's University
Fundersnot available
KeywordsAbortionDilation and curettageMedicineMisoprostolVacuum aspirationDemographyUnsafe abortionCross-sectional studyOdds ratioReproductive healthObstetricsPopulationPregnancyFamily planningEnvironmental health

Abstract

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BACKGROUND: Abortion-related mortality accounts for 8% of all global maternal deaths and 97% of the estimated 25 million unsafe abortions performed each year occur in low- and middle-income countries. Haiti has the highest rate of maternal mortality in the western hemisphere and to further understand the circumstances of induced abortion in Haiti, the current work uses data from the 2012 Demographic and Health Survey (DHS) to describe the methods of induced abortion in Haiti between 2007-2012 and to identify potential factors associated with use of different abortion methods. METHODS: This is a secondary analysis of nationally representative cross-sectional data from the 2012 Haitian DHS, a two-stage cluster randomized household survey. Analysis included descriptive statistics on participant demographics, methods of abortion, and location of / assistant for the abortion. Multivariate regression was conducted to determine if demographic characteristics were associated with: 1) increased or decreased odds of having an abortion; or 2) increased or decreased odds of reporting an evidence based or non-evidence based method of abortion. RESULTS: Among the 14,287 women of childbearing age who completed the 2012 Haiti DHS survey, 289 women reported having an induced abortion in the previous five years. Recommended methods, manual vacuum aspiration (MVA) or misoprostol alone, were used in 26.6% of the abortions (n = 77). Additionally, 13.8% (n = 40) of abortions used these recommended methods in combination with a non-evidenced based method such as injections, plants or tablets. A total of 92 women had a dilation and curettage (D&C) abortion, either alone (n = 77) or in combination with another method (n = 15) and over a quarter (n = 80) of reported abortions were conducted by non-evidence based methods (n = 80). A majority of abortions using a recommended method were assisted by a relative/friend (n = 28) or were unassisted (n = 34). Most abortions occurred in private homes (n = 174) with hospitals/clinics being the second most common location (n = 84). Women in the middle (OR = 3.3, 95% CI = 2.0-5.6) and highest (OR = 7.4, 95% CI = 4.4-12.3) wealth brackets were more likely to have had an abortion in comparison to women in the lowest wealth bracket. Women who had ever been in a marital union were more likely to have had an abortion than those who had not. The only demographic factor predictive of aborting using a recommended method was living in an urban area, with urban-dwelling women being less likely to use a recommended abortion method (OR = 0.4, 95% CI = 0.2-0.9) in comparison with women living in rural settings. CONCLUSION: In a nationally representative survey in Haiti, 2% of women of childbearing age reported having an abortion in the five years prior to the survey. A large proportion of these abortions were carried out using non-evidence based methods and over half occurred outside of the formal health care system. Understanding women's attitudes, knowledge and barriers around abortion is paramount to improving knowledge and access to evidence-based abortion care in an effort to decrease maternal morbidity and mortality in Haiti.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.192

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.340
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2018
Admission routes1
Has abstractyes

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