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Afr Health Sci ; 24(1): 25-35, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38962324

ABSTRACT

Background: Women living with HIV/AIDS possess fertility desires similar to their uninfected counterparts, and with advances in health therapies, these women can realistically have and raise uninfected children. Preconception care (PC) is a specialized form of intervention aimed at the prevention, identification, treatment, and management of biomedical, behavioural, and social conditions that militate against safe motherhood and the delivery of healthy offspring. Objective: The study aimed to assess preconception and contraceptive care among women living with HIV and attending Antiretroviral Therapy Clinics in Alimosho, Lagos State, Nigeria. Methods: This was a descriptive facility-based cross-sectional study of 383 women of reproductive age living with HIV/AIDS and attending ART clinics in the study area. Probability sampling methods were used in the selection procedures. Data were analyzed using descriptive statistics, Chi-square test, and univariate logistic regression at a 5% level of significance. Stratified and simple random sampling were used in the selection process. Results: Only 37.4% of respondents received optimal PC services. Being 20-29 years old [OR =1.716 (95% CI: 1.664, 1.769), p = 0.020], being 30-39 years [OR =1.514 (95% CI: 0.598, 3.831), p = 0.005], tertiary education [OR =8.43. (95% CI: 1.41, 18.5), p = 0.020], and being single [OR =2.00 (95% CI: 1.928-2.072), p = 0.002] were significantly related to the utilization of contraceptives. Conclusion: There is a need to provide structure and guidelines for optimal streamlined PC and contraceptive services for women living with HIV/AIDS.


Subject(s)
HIV Infections , Preconception Care , Humans , Female , Adult , Nigeria , Cross-Sectional Studies , HIV Infections/drug therapy , Young Adult , Contraception/statistics & numerical data , Contraception/methods , Adolescent , Family Planning Services/statistics & numerical data , Contraception Behavior/statistics & numerical data , Health Knowledge, Attitudes, Practice , Middle Aged
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