Unmet contraceptive needs among refugees: Crossroads Clinic experience
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Résumé
Abstract Objective To describe what women of reproductive age who received primary care at a refugee health clinic were using for contraception upon arrival to the clinic, and to quantify the unmet contraceptive needs within that population. Design Retrospective chart review. Setting Crossroads Clinic in downtown Toronto, Ont. Participants Women of reproductive age (15 to 49 years) who first presented for care between December 1, 2011, and December 1, 2012. To be included, a woman had to have had 2 or more clinic visits or an annual health examination. Exclusion criteria for the contraception prevalence calculation were female sexual partner, menopause, hysterectomy, pregnancy, or trying to conceive. Main outcome measures Contraception use prevalence was measured, as was unmet contraceptive need, which was calculated using a modified version of the World Health Organization’s definition: the number of women with an unmet need was expressed as a percentage of women of reproductive age who were married or in a union, or who were sexually active. Results Overall, 52 women met the criteria for inclusion in the contraceptive prevalence calculation. Of these, 16 women (30.8%) did not use any form of contraception. Twelve women were pregnant at some point in the year and stated the pregnancy was unwanted or mistimed. An additional 14 women were not using contraception but had no intention of becoming pregnant within the next 2 years. There were no women with postpartum amenorrhea not using contraception and who had wanted to delay or prevent their previous pregnancy. In total, 97 women were married or in a union, or were sexually active. Unmet need was calculated as follows: (12 + 14 + 0)/97 = 26.8%. Conclusion There was a high unmet contraceptive need in the refugee population in our study. All women of reproductive age should be screened for contraceptive need when first seeking medical care in Canada.
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Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,002 |
Scores machine (provisoires)
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Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_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