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

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

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

Notice bibliographique

RevuePLoS ONE · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueReproductive Health and Contraception
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésAbortionDilation and curettageMedicineMisoprostolVacuum aspirationDemographyUnsafe abortionCross-sectional studyOdds ratioReproductive healthObstetricsPopulationPregnancyFamily planningEnvironmental health

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,046
Score d'incertitude au seuil0,192

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,089
Tête enseignante GPT0,340
Écart entre enseignants0,251 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2018
Routes d'admission1
Résumé présentoui

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