Behavioral interventions for improving contraceptive use among women living with HIV
Notice bibliographique
Résumé
BACKGROUND: Contraception services can help meet the family planning goals of women living with HIV as well as prevent mother-to-child transmission. Due to the increased availability of antiretroviral therapy, survival has improved for people living with HIV, and more HIV-positive women may desire to have a child or another child. This review examines behavioral interventions to improve contraceptive use, for family planning, among women who are HIV-positive. OBJECTIVES: We systematically reviewed studies that examined behavioral interventions for HIV-positive women that were intended to inform contraceptive choice, encourage contraceptive use, or promote adherence to a contraceptive regimen. SEARCH METHODS: Through October 2012, we searched MEDLINE, CENTRAL, POPLINE, EMBASE, CINAHL, PsycINFO, ClinicalTrials.gov and ICTRP. For other relevant papers, we examined reference lists and unpublished project reports, and contacted investigators in the field. SELECTION CRITERIA: Studies evaluated a behavioral intervention for improving contraceptive use for contraception. The comparison could be another behavioral intervention, usual care, or no intervention. We also considered studies that compared HIV-positive women versus HIV-negative women. We included nonrandomized (observational) studies as well as randomized trials.Primary outcomes were pregnancy and contraception use, e.g., uptake of a new method, improved use or continuation of current method. Secondary outcomes were knowledge of contraceptive effectiveness and attitude about contraception in general or about a specific contraceptive method. DATA COLLECTION AND ANALYSIS: Two authors independently extracted the data. One author entered the data into RevMan and a second verified accuracy. We examined the quality of evidence using the Newcastle-Ottawa Quality Assessment Scale.Given the need to control for confounding factors in observational studies, we used adjusted estimates from the models when available. Where we did not have adjusted analyses, we calculated the odds ratio (OR) with 95% confidence interval (CI). Due to varied study designs, we did not conduct meta-analysis. MAIN RESULTS: The seven studies meeting our inclusion criteria had a total of 8882 women. All were conducted in Africa. Three studies compared a special intervention versus standard services. In one, the special intervention site showed greater use of non-condom contraceptives per visit (OR 6.40; 95% CI 5.37 to 7.62) and reported a lower pregnancy incidence. In another study, use of modern contraceptives was more likely for women at sites with enhanced versus basic integrated services (OR 2.48; 95% CI 1.31 to 4.72), but the groups did not differ significantly in change from baseline. In the third study, new use of modern contraceptives, excluding condoms, was less likely for women with integrated services versus those with routine care (OR 0.56; 95% CI 0.42 to 0.75), but new use of condoms was more likely (OR 1.73; 95% CI 1.52 to 1.98).Four older studies compared HIV-positive women versus HIV-negative women. None showed any significant difference between the HIV-status groups in use of modern contraceptives. Two did not provide an intervention for the HIV-negative women. In the larger of the two studies, HIV-positive women were less likely to become pregnant (OR 0.55; 95% CI 0.43 to 0.69). HIV-positive women were more likely to discontinue their hormonal contraceptive (OR 2.52; 95% CI 1.53 to 4.14) but more likely to use condoms (OR 2.82; 95% CI 2.18 to 3.65) and spermicide (OR 2.36; 95% CI 1.69 to 3.30). Two studies provided the intervention to both HIV-status groups. One included many of the women from the study just mentioned, and also showed fewer pregnancies for HIV-positive women (OR 0.39; 95% CI 0.23 to 0.68). In the other study, the HIV-status groups were not significantly different for pregnancy or consistent condom use. AUTHORS' CONCLUSIONS: Comparative research on contraceptive counseling for HIV-positive women has been limited. We found little innovation in the behavioral interventions. Our ability to make statements about overall results is hampered by varied study designs, interventions, and outcome assessments. The quality of evidence was moderate. Since some of these studies were conducted, improvements in HIV treatment have influenced the fertility intentions of HIV-positive people.The family planning field needs better ways to help women choose an appropriate contraceptive and continue using that chosen method. Women with HIV may have special concerns regarding family planning. Research could focus on assessing the woman's needs and training providers to address those issues rather than delivering standardized information.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,031 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,008 | 0,007 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,000 |
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.
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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».