Contraceptives and sexual behaviours in predicting pregnancy rates in HIV prevention trials in South Africa: Past, present and future implications.
Sex Reprod Healthc
; 26: 100531, 2020 Dec.
Article
em En
| MEDLINE
| ID: mdl-32615376
ABSTRACT
OBJECTIVE:
Despite all efforts, high pregnancy rates are often reported in HIV biomedical intervention trials conducted in African countries. We therefore aimed to develop a pregnancy risk scoring algorithm for targeted recruitment and screening strategies among a cohort of women in South Africa.METHODS:
The study population was ~ 10,000 women who enrolled in one of the six biomedical intervention trials conducted in KwaZulu Natal, South Africa. Cox regression models were used to create a pregnancy risk scoring algorithm which was internally validated using standard statistical measures.RESULTS:
Five factors were identified as significant predictors of pregnancy incidence<25 years old, not using injectable contraceptives, parity (<3), being single/not cohabiting and having ≥ 2 sexual partners in the past three months. Women with total scores of 21-24, 25-35 and 36+ were classified as being at "moderate", "high", "severe" risk of pregnancy. Sensitivity of the development and validation models were reasonably high (sensitivity 76% and 74% respectively).CONCLUSION:
Our risk scoring algorithm can identify and alert researchers to women who need additional non-routine pregnancy assessment and counselling, with statistically acceptable accuracy and robustness.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Comportamento Sexual
/
Infecções por HIV
/
Anticoncepcionais
Tipo de estudo:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adult
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Female
/
Humans
/
Pregnancy
País como assunto:
Africa
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article