Unintended pregnancy, contraceptive use, and childbearing desires among HIV-infected and HIV-uninfected women in Botswana: Across-sectional study

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Study Justification:
This study aimed to investigate the impact of knowledge of HIV serostatus on pregnancy intention and contraceptive use among HIV-infected and HIV-uninfected women in Botswana. The study was conducted in a high-HIV-burden setting where antiretroviral treatment is widely available. The justification for this study is to address the lack of knowledge regarding the relationship between HIV status, pregnancy intention, and contraceptive use in this specific context.
Study Highlights:
1. The study included 941 women, both HIV-infected and HIV-uninfected, who were pregnant or recently postpartum.
2. The median age of the participants was 27 years, and the median lifetime pregnancies was 2.
3. 44% of the pregnancies were unintended, and among women with unintended pregnancies, 36% were not using any contraceptive method prior to conception.
4. Among contraception users, 81% used condoms, 13% used oral contraceptives, and 5% used injectable contraceptives.
5. Women who did not know their HIV status prior to conception were more likely to report their pregnancy as unintended compared to women who knew they were HIV-uninfected.
6. Unintended pregnancy was not associated with knowing one’s HIV positive status prior to conception.
7. 61% of women reported not wanting any more children after their current pregnancy, with HIV-infected women being significantly more likely to report this compared to HIV-uninfected women.
Study Recommendations:
Based on the findings of this study, the following recommendations can be made:
1. There is an urgent need for better access to effective contraceptive methods for both HIV-uninfected and HIV-infected women in Botswana to reduce the rates of unintended pregnancy and contraceptive failure/misuse.
2. Efforts should be made to improve knowledge of HIV status among women of reproductive age, as this was associated with pregnancy intention.
3. Programs and interventions should be developed to address the higher risk of unintended pregnancy among women with lower socioeconomic status and those who have not undergone pre-conception HIV testing.
4. Special attention should be given to the reproductive desires of HIV-infected women, as they are more likely to report not wanting any more children.
Key Role Players:
1. Ministry of Health: Responsible for implementing policies and programs related to reproductive health and HIV prevention and treatment.
2. Non-governmental organizations (NGOs): Involved in providing reproductive health services, including access to contraceptives and HIV testing.
3. Healthcare providers: Play a crucial role in counseling women on contraceptive options and providing HIV testing services.
4. Community leaders and educators: Responsible for raising awareness about the importance of reproductive health and HIV prevention.
Cost Items for Planning Recommendations:
1. Contraceptive supplies: Budget for the procurement and distribution of various contraceptive methods, including condoms, oral contraceptives, and injectable contraceptives.
2. HIV testing services: Allocate funds for HIV testing kits, laboratory equipment, and training of healthcare providers.
3. Training and capacity building: Budget for training healthcare providers on contraceptive counseling, HIV testing, and reproductive health education.
4. Awareness campaigns: Allocate funds for community outreach programs, educational materials, and media campaigns to raise awareness about reproductive health and HIV prevention.
5. Monitoring and evaluation: Set aside funds for monitoring and evaluating the implementation and impact of the recommended interventions.
Please note that the cost items provided are general categories and not actual cost estimates. The actual cost will depend on the specific context and implementation plan.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it presents findings from a large sample size and provides statistical analysis. However, to improve the evidence, the abstract could include more details about the methodology, such as the specific data collection methods and the criteria used for participant selection.

Background: Little is known about the impact of knowledge of HIV serostatus on pregnancy intention and contraceptive use in high-HIV-burden southern African settings in the era of widespread antiretroviral treatment availability. Methods: We analyzed interview data collected among 473 HIV-uninfected and 468 HIV-infected pregnant and recently postpartum women at two sites in southern Botswana. Participants were interviewed about their knowledge of their HIV status prior to pregnancy, intendedness of the pregnancy, contraceptive use, and future childbearing desires. Results: The median age of the 941 women was 27 years, median lifetime pregnancies was 2, and 416 (44 %) of pregnancies were unintended. Among women reporting unintended pregnancy, 36 % were not using a contraceptive method prior to conception. Among contraception users, 81 % used condoms, 13 % oral contraceptives and 5 % an injectable contraceptive. In univariable analysis, women with unintended pregnancy had a higher number of previous pregnancies (P = <0.0001), were less educated (P = 0.0002), and less likely to be married or living with a partner (P < 0.0001). Thirty-percent reported knowing that they were HIV-infected, 48 % reported knowing they were HIV-uninfected, and 22 % reported not knowing their HIV status prior to conception. In multivariable analysis, women who did not know their HIV status pre-conception were more likely to report their pregnancy as unintended compared to women who knew that they were HIV-uninfected (aOR = 1.7; 95%CI: 1.2-2.5). After controlling for other factors, unintended pregnancy was not associated with knowing one's HIV positive status prior to conception (compared with knowing one's negative HIV status prior to conception). Among women with unintended pregnancy, there was no association between knowing their HIV status and contraceptive use prior to pregnancy in adjusted analyses. Sixty-one percent of women reported not wanting any more children after this pregnancy, with HIV-infected women significantly more likely to report not wanting any more children compared to HIV-uninfected women (aOR = 3.9; 95%CI: 2.6-5.8). Conclusions: The high rates of reported unintended pregnancy and contraceptive failure/misuse underscore an urgent need for better access to effective contraceptive methods for HIV-uninfected and HIV -infected women in Botswana. Lower socioeconomic status and lack of pre-conception HIV testing may indicate higher risk for unintended pregnancy in this setting.

This was a planned analysis of baseline data collected in a prospective observational cohort study of child health and neurodevelopment (“Tshipidi” study: a Setswana word meaning “a journey of a thousand miles begins with one step”). This study was funded by the National Institute of Mental Health at the National Institutes of Health, R01MH087344. In total, 475 HIV-uninfected and 474 HIV-infected pregnant and recently postpartum women aged 18 years and older and their infants were enrolled between 2010 and 2012 at 28 antenatal clinics and 5 maternity wards in two locations in Botswana: the capital city Gaborone and in the large village of Mochudi, which is 45 km North of Gaborone. As part of the main cohort study, mothers and infants were followed for two years to evaluate the effect of maternal HIV status on child health and neurodevelopmental outcomes. Participants were enrolled antepartum (n = 805 (84.8 %)) or within seven days of delivery (n = 144 (15.2 %)). The current analysis utilizes data from structured questionnaires administered privately at enrollment by trained study nurses at the time of enrollment. To measure pregnancy intendedness, the primary outcome, all women were asked “Were you trying to become pregnant when you conceived the baby?” This yielded a combined category of unintended pregnancy, which included mistimed and unwanted pregnancies, irrespective of whether contraception was being used. Women who reported that they were not trying to become pregnant at the time of conception were also asked whether they were using contraception and the specific contraceptive method type was documented. We considered women as having experienced contraceptive failure or misuse (including poor adherence), if they reported that the current pregnancy was unintended and that they were using contraception prior to the pregnancy. Women were considered as having an unmet need for family planning if they reported that the current pregnancy was unintended and that they were not using contraception prior to the pregnancy. Women’s self-reported knowledge of HIV status prior to becoming pregnant was recorded as “known HIV-infected”, “known HIV-uninfected” or “unknown HIV status.” HIV status at the time of study enrolment was also determined by confirmatory testing on all participants. We performed basic descriptive analyses, including a comparison of study enrolment characteristics stratified by maternal knowledge of HIV serostatus prior to becoming pregnant, and intendedness of pregnancy. We used logistic regression to estimate univariable and multivariable-adjusted odds ratios (OR) and 95 % confidence intervals (CI) for pregnancy intendedness. We considered several covariates that likely temporally preceded the current pregnancy and birth and might also be associated with knowledge of HIV status prior to becoming pregnant and pregnancy intendedness. Therefore, we included all of the following variables in the multivariable-adjusted model as potential confounders: enrollment site, age, relationship status, educational level, employment status, income, household size, household assets, and lifetime number of pregnancies and history of a child dying after birth but before five years of age. All statistical analyses were conducted using SAS software version 9.3 (SAS Institute, Cary, NC). In secondary analyses, we used the same process to assess the relationship between a) maternal knowledge of HIV serostatus prior to becoming pregnant and contraceptive use and b) HIV status at enrollment and future childbearing desires in multivariate-adjusted analyses. Ethics approval for the Tshipidi study was obtained from the Office of Human Research Administration (OHRA) at the Harvard School of Public Health and the Health Research Development Committee at the Botswana Ministry of Health. All women provided written informed consent prior to study participation. Only unique study identifiers were used in the database.

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Based on the information provided, here are some potential innovations that could improve access to maternal health:

1. Improved access to effective contraceptive methods: There is a need for better access to effective contraceptive methods for both HIV-infected and HIV-uninfected women in Botswana. This could include increasing the availability and affordability of a wide range of contraceptive options, such as long-acting reversible contraceptives (LARCs) and hormonal implants.

2. Increased awareness and education about HIV status: Many women in the study did not know their HIV status prior to conception, which was associated with a higher likelihood of unintended pregnancy. Innovations could focus on increasing awareness and education about HIV testing and counseling, particularly among women of reproductive age.

3. Integration of maternal health and HIV services: Integrating maternal health and HIV services could improve access to both HIV testing and contraception. This could involve providing comprehensive reproductive health services, including HIV testing and counseling, at antenatal clinics and maternity wards.

4. Targeted interventions for high-risk populations: The study found that lower socioeconomic status was associated with a higher risk of unintended pregnancy. Innovations could involve targeted interventions, such as providing subsidized or free contraception to women from low-income backgrounds.

5. Mobile health (mHealth) interventions: Mobile health technologies, such as text message reminders for contraceptive use and appointment reminders for HIV testing, could help improve adherence to contraception and increase awareness about HIV testing.

6. Community-based outreach programs: Community-based outreach programs could help reach women who may not have easy access to healthcare facilities. These programs could provide information about contraception, HIV testing, and other maternal health services, as well as offer support and counseling.

It’s important to note that these recommendations are based on the specific context of the study in Botswana and may need to be adapted to other settings.
AI Innovations Description
Based on the information provided, a recommendation to improve access to maternal health in Botswana would be to implement comprehensive reproductive health programs that focus on increasing knowledge and access to effective contraceptive methods for both HIV-infected and HIV-uninfected women. This recommendation is based on the findings that a significant proportion of pregnancies were unintended, with a high rate of contraceptive failure or misuse.

Specific actions that can be taken include:

1. Strengthening education and awareness programs: Implement targeted campaigns to increase knowledge about HIV serostatus and the importance of pre-conception HIV testing. This can help women make informed decisions about their reproductive health and reduce the risk of unintended pregnancies.

2. Expanding access to contraception: Improve availability and affordability of a wide range of contraceptive methods, including condoms, oral contraceptives, and injectable contraceptives. This can be done through increased distribution in healthcare facilities, community outreach programs, and partnerships with local organizations.

3. Enhancing healthcare provider training: Provide comprehensive training to healthcare providers on family planning counseling and contraceptive methods. This can ensure that women receive accurate information and appropriate guidance in choosing the most suitable contraceptive method for their individual needs.

4. Integrating reproductive health services: Strengthen the integration of reproductive health services within the existing healthcare system. This can include incorporating family planning services into antenatal care visits and postpartum care, as well as providing counseling and support for women who are living with HIV.

5. Addressing socio-economic factors: Recognize the impact of lower socioeconomic status on unintended pregnancies and work towards addressing underlying factors such as poverty, education, and employment opportunities. This can involve implementing social programs that provide support to vulnerable populations and empower women to make informed choices about their reproductive health.

By implementing these recommendations, it is possible to improve access to maternal health services, reduce unintended pregnancies, and promote the overall well-being of women in Botswana.
AI Innovations Methodology
To improve access to maternal health in Botswana, here are some potential recommendations:

1. Strengthening Contraceptive Education and Counseling: Implement comprehensive programs that provide accurate information about contraception methods, their effectiveness, and potential side effects. This can be done through community health workers, healthcare providers, and educational campaigns.

2. Expanding Access to Contraceptive Methods: Increase the availability and affordability of a wide range of contraceptive methods, including long-acting reversible contraceptives (LARCs) such as intrauterine devices (IUDs) and implants. This can be achieved by improving supply chains, training healthcare providers, and reducing costs.

3. Integrating Maternal Health and HIV Services: Ensure that HIV-infected women have access to both antiretroviral treatment and effective contraception. This can be done by integrating HIV and maternal health services, providing comprehensive care in one location, and training healthcare providers to address both HIV and reproductive health needs.

4. Promoting Male Involvement: Engage men in discussions about family planning and encourage their participation in decision-making regarding contraception and pregnancy. This can be achieved through community outreach programs, educational campaigns, and involving men in antenatal care visits.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the indicators: Identify key indicators to measure the impact of the recommendations, such as contraceptive prevalence rate, unintended pregnancy rate, knowledge of HIV status, and utilization of maternal health services.

2. Collect baseline data: Gather data on the current status of these indicators through surveys, interviews, and existing health records. This data will serve as a baseline for comparison.

3. Develop a simulation model: Create a mathematical or statistical model that incorporates the potential impact of the recommendations on the identified indicators. This model should consider factors such as population demographics, healthcare infrastructure, and resource availability.

4. Input data and parameters: Input the baseline data and relevant parameters into the simulation model. This may include information on population size, contraceptive methods available, healthcare facilities, and funding allocations.

5. Run simulations: Run the simulation model multiple times, adjusting the parameters to reflect the potential impact of the recommendations. This will allow for the exploration of different scenarios and their effects on the indicators.

6. Analyze results: Analyze the simulation results to determine the potential impact of the recommendations on improving access to maternal health. This may involve comparing the indicators before and after the simulations, identifying trends, and assessing the magnitude of change.

7. Validate and refine the model: Validate the simulation model by comparing the results with real-world data and expert opinions. Refine the model as necessary to improve its accuracy and reliability.

8. Communicate findings: Present the findings of the simulation study to relevant stakeholders, such as policymakers, healthcare providers, and community organizations. Use the results to advocate for the implementation of the recommendations and inform decision-making processes.

By following this methodology, policymakers and stakeholders can gain insights into the potential impact of the recommendations on improving access to maternal health in Botswana and make informed decisions about resource allocation and program implementation.

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