Decreasing incidence of pregnancy among HIV-positive adolescents in a large HIV treatment program in western Kenya between 2005 and 2017: a retrospective cohort study

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Study Justification:
– The study aimed to estimate the prevalence, incidence, and risk factors for pregnancy among HIV-positive adolescents in a large HIV treatment program in western Kenya.
– The study aimed to assess the burden and needs of the HIV-positive female adolescent population with regards to sexual health and pregnancy.
– The study aimed to identify potential interventions to improve maternal and neonatal outcomes and decrease pregnancy rates in this high-risk group.
Study Highlights:
– The study included 8,565 adolescents aged 10-19 enrolled in the HIV treatment program between 2005 and 2017.
– The median age at enrollment in HIV care was 14.0 years.
– A high level of poverty was observed, with only 17.7% having electricity at home and 14.4% having piped water.
– 12.9% of the adolescents were pregnant at study inclusion, and an additional 5.6% became pregnant during follow-up.
– The overall pregnancy incidence rate was 21.9 per 1000 woman years or 55.8 pregnancies per 1000 women.
– Pregnancy rates have decreased between 2005 and 2017.
– Risk factors for pregnancy among HIV-positive adolescents included older age, being married or living with a partner, having at least one child already, and not using family planning.
Recommendations for Lay Reader and Policy Maker:
– Implement adolescent-focused sexual and reproductive health programs to address the high pregnancy rates among HIV-positive adolescents.
– Strengthen ante/postnatal care programs to improve maternal and neonatal outcomes.
– Increase access to family planning services for HIV-positive adolescents to reduce unintended pregnancies.
– Address the underlying socio-economic factors, such as poverty, that contribute to the high pregnancy rates among this population.
Key Role Players:
– Moi University
– Moi Teaching and Referral Hospital
– Consortium of 11 North American academic institutions
– AMPATH program staff
– Health providers
– Data entry clerks
– Researchers and analysts
Cost Items for Planning Recommendations:
– Development and implementation of adolescent-focused sexual and reproductive health programs
– Training and capacity building for healthcare providers
– Provision of family planning services and contraceptives
– Outreach and awareness campaigns
– Monitoring and evaluation of program effectiveness
– Research and data analysis

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a retrospective cohort study, which provides moderate strength of evidence. The study includes a large sample size and provides descriptive statistics. However, the study design does not allow for causal relationships to be determined. To improve the strength of evidence, future studies could consider using a prospective design and include control groups to compare outcomes.

Background: The objective of this study was to estimate the prevalence, incidence and risk factors for pregnancy among HIV-positive adolescents in a large HIV treatment program in western Kenya. Methods: The Academic Model Providing Access to Healthcare (AMPATH) program is a partnership between Moi University, Moi Teaching and Referral Hospital and a consortium of 11 North American academic institutions. AMPATH currently provides care to 85,000 HIV-positive individuals in western Kenya. Included in this analysis were adolescents aged 10–19 enrolled in AMPATH between January 2005 and February 2017. Socio-demographic, behavioural, and clinical data at baseline and time-updated antiretroviral treatment (ART) data were extracted from the electronic medical records and summarized using descriptive statistics. Follow up time was defined as time of inclusion in the cohort until the date of first pregnancy or age 20, loss to follow up, death, or administrative censoring. Adolescent pregnancy rates and associated risk factors were determined. Results: There were 8565 adolescents eligible for analysis. Median age at enrolment in HIV care was 14.0 years. Only 17.7% had electricity at home and 14.4% had piped water, both indicators of a high level of poverty. 12.9% (1104) were pregnant at study inclusion. Of those not pregnant at enrolment, 5.6% (448) became pregnant at least once during follow-up. Another 1.0% (78) were pregnant at inclusion and became pregnant again during follow-up. The overall pregnancy incidence rate was 21.9 per 1000 woman years or 55.8 pregnancies per 1000 women. Between 2005 and 2017, pregnancy rates have decreased. Adolescents who became pregnant in follow-up were more likely to be older, to be married or living with a partner and to have at least one child already and less likely to be using family planning. Conclusions: A considerable number of these HIV-positive adolescents presented at enrolment into HIV care as pregnant and many became pregnant as adolescents during follow-up. Pregnancy rates remain high but have decreased from 2005 to 2017. Adolescent-focused sexual and reproductive health and ante/postnatal care programs may have the potential to improve maternal and neonatal outcomes as well as further decrease pregnancy rates in this high-risk group.

The Academic Model Providing Access to Healthcare (AMPATH) program is a partnership between Moi University and Moi Teaching and Referral Hospital in Eldoret, Kenya and a consortium of 11 North American Academic Institutions. AMPATH works within the public health care system in Kenya and currently provides care to 85,000 HIV-positive individuals in the western part of the country. This study took place in the following counties: Bungoma, Busia, Elgeyo-Marakwet, Kisumu, Nandi, Trans-Nzoia, Uasin Gishu, and West Pokot. AMPATH is involved in inpatient and outpatient clinical care, while also working on a range of population and community health initiatives. To date, the program has not formally assessed the burden and needs of its HIV-positive female adolescent population with regards to sexual health and pregnancy. This study was a retrospective cohort study of HIV-positive adolescent girls aged 10–19 enrolled in AMPATH between January 1, 2005 and February 28, 2017. Socio-demographic, behavioural, clinical and time-updated antiretroviral treatment (ART) data were extracted from the electronic medical records and summarized using descriptive statistics. In the AMPATH program, clinical data is collected on paper forms at each patient encounter by health providers. These data are then entered into an electronic database by data entry clerks. There are separate patient encounter forms for paediatric, adult and antenatal clinics and some concepts such as marital status and family planning are not included on the paediatric forms. Baseline characteristics were defined as the participant characteristics at the time of inclusion in the study cohort. For those whose enrolment in AMPATH care occurred between the ages of 10 and 19, baseline characteristics reflect characteristics at enrolment. For those who enrolled in AMPATH care prior to 10 years of age, baseline characteristics reflect characteristics at age 10, when the participant became part of the cohort. Clinical characteristics at the time of conception included CD4 cell count per mm3, WHO clinical stage, body mass index (BMI) (kg/m2), and hemoglobin (g/dL). With the exception of CD4, these variables were defined with a window of 90 days prior to and 30 days post estimated conception date among those who became pregnant or 90 days prior to the last visit date among those who did not become pregnant. CD4 was defined with a window of 180 days prior to and 30 days post estimated conception date among those who became pregnant or 180 days prior to the last visit date among those who did not become pregnant. Approximate date of conception was determined using pregnancy-related measures such as date of last menstrual period (LMP), estimated or actual date of delivery, pregnancy status at each clinic visit and gestational age. Follow up time was defined as time of inclusion in the cohort until the date of first pregnancy or age 20, loss to follow up, death, or patient’s last visit. Participants who were pregnant and remained in care after delivery were re-initiated into the study at date of delivery. While in reality a woman cannot conceive immediately following delivery, due to sometimes inaccurate delivery dates in the medical record, this strategy was chosen as the most consistent approach to re-initiation. Data analysis was done using SAS 9.4. Categorical variables such as WHO clinical stage, clinic location, disclosure status, hospitalization status, orphan status, and pregnancy status among others were summarized using frequencies and the corresponding percentages. Continuous variables were summarized using median and the corresponding inter quartile range (IQR) when they were found to violate the Gaussian assumptions. The Gaussian assumptions were assessed using Shapiro–Wilk test and histograms. Association between pregnancy status and categorical variables was assessed using Pearson’s Chi Square test. The association between pregnancy status and continuous variables was assessed using two sample Wilcoxon-ranks sum test. Kaplan–Meier survival function was used to describe the rate of pregnancy over time. Cox proportional hazards regression model was used to assess the factors associated with pregnancy. We reported the hazard ratios and the corresponding 95% confidence intervals (95% CI). For descriptive analysis, complete cases analysis was performed for every variable (i.e. we described the participants who had observed data for each specific variable). For the regression models, missing data was treated as a separate category. For example, if for WHO clinical stage some participants had missing data then there were five categories: WHO clinical stages I, II, III, IV and a “Missing Data” group. This was done to avoid losing cases of pregnancies and, thus, enhance the power of the study. Ethics approval was obtained through the Moi University School of Medicine Institutional Research Ethics Committee and the University of Toronto Health Sciences Research Ethics Board, as part of an overall approval for retrospective analysis of the AMPATH Medical Records System (AMRS) aimed at improving clinical care. Included in this ethics approval is a waiver of informed consent, due to the retrospective nature of the analysis.

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

1. Mobile health (mHealth) interventions: Implementing mobile phone-based interventions to provide maternal health information, reminders for antenatal care visits, and access to teleconsultations with healthcare providers.

2. Community health workers: Training and deploying community health workers to provide education, counseling, and support to pregnant women, especially HIV-positive adolescents, in remote or underserved areas.

3. Telemedicine: Expanding the use of telemedicine platforms to enable remote consultations between healthcare providers and pregnant women, reducing the need for travel and improving access to specialized care.

4. Integrated care models: Integrating maternal health services with HIV care programs, such as the AMPATH program, to ensure comprehensive and coordinated care for HIV-positive pregnant women.

5. Improved data collection and analysis: Enhancing electronic medical record systems to capture comprehensive data on maternal health outcomes, risk factors, and interventions, enabling better monitoring and evaluation of programs and interventions.

6. Targeted family planning services: Strengthening family planning services for HIV-positive adolescents, including access to contraceptives, counseling on reproductive health, and support for informed decision-making about pregnancy.

7. Peer support programs: Establishing peer support programs for HIV-positive pregnant women, where they can receive emotional support, share experiences, and access information on maternal health and HIV management.

8. Health education campaigns: Conducting targeted health education campaigns to raise awareness about the importance of antenatal care, HIV prevention, and safe motherhood practices among HIV-positive adolescents and their communities.

9. Transportation support: Providing transportation support, such as vouchers or subsidies, to overcome transportation barriers and ensure timely access to antenatal care and delivery services.

10. Strengthening healthcare infrastructure: Investing in the improvement of healthcare facilities, equipment, and staffing in underserved areas to ensure quality maternal health services are available and accessible to all women, including HIV-positive adolescents.

These innovations can help address the specific challenges faced by HIV-positive adolescents in accessing maternal health services and contribute to improving maternal and neonatal outcomes in this high-risk group.
AI Innovations Description
Based on the description provided, the recommendation to improve access to maternal health for HIV-positive adolescents in western Kenya is to implement adolescent-focused sexual and reproductive health and ante/postnatal care programs. These programs should specifically target HIV-positive adolescent girls aged 10-19 enrolled in the Academic Model Providing Access to Healthcare (AMPATH) program.

The recommendation is based on the findings of the retrospective cohort study, which revealed a high prevalence and incidence of pregnancy among HIV-positive adolescents in the AMPATH program. The study also identified risk factors for pregnancy, such as older age, being married or living with a partner, having at least one child already, and not using family planning.

By implementing adolescent-focused sexual and reproductive health programs, these HIV-positive adolescents can receive comprehensive education and services related to contraception, family planning, and safe sexual practices. Ante/postnatal care programs can ensure that pregnant adolescents receive appropriate prenatal care, delivery services, and postnatal support.

These programs should be integrated into the existing HIV treatment program provided by AMPATH and should address the unique needs and challenges faced by HIV-positive adolescents. This includes addressing issues of poverty, lack of access to basic amenities like electricity and piped water, and providing support for adherence to antiretroviral treatment.

By improving access to maternal health services and addressing the specific needs of HIV-positive adolescents, these programs have the potential to improve maternal and neonatal outcomes and further decrease pregnancy rates in this high-risk group.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health for HIV-positive adolescents:

1. Strengthening sexual and reproductive health education: Implement comprehensive sexual and reproductive health education programs specifically tailored for HIV-positive adolescents. These programs should provide accurate information on contraception, family planning, and safe sexual practices.

2. Increasing access to contraceptives: Ensure that HIV-positive adolescents have easy access to a wide range of contraceptive methods, including condoms, oral contraceptives, and long-acting reversible contraceptives. This can be achieved by integrating family planning services into HIV care clinics and providing counseling on contraceptive options.

3. Improving antenatal and postnatal care: Enhance the quality and availability of antenatal and postnatal care services for HIV-positive adolescents. This includes regular monitoring of maternal health during pregnancy, prevention of mother-to-child transmission of HIV, and support for breastfeeding practices.

4. Addressing social and economic barriers: Address the social and economic factors that contribute to high pregnancy rates among HIV-positive adolescents. This may involve providing support for education, vocational training, and income-generating activities to empower these adolescents and reduce their vulnerability.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the indicators: Identify key indicators that reflect access to maternal health, such as pregnancy rates, contraceptive use, antenatal care attendance, and maternal and neonatal health outcomes.

2. Collect baseline data: Gather data on the current status of these indicators among HIV-positive adolescents in the target population. This can be done through surveys, interviews, or analysis of existing data sources.

3. Develop a simulation model: Create a mathematical or statistical model that simulates the impact of the recommended interventions on the identified indicators. This model should take into account factors such as population size, HIV prevalence, program coverage, and the effectiveness of the interventions.

4. Input intervention parameters: Specify the parameters of the interventions, such as the coverage and effectiveness of sexual and reproductive health education, access to contraceptives, and quality of antenatal and postnatal care.

5. Run the simulation: Use the model to simulate the impact of the interventions over a specified time period. This can be done by adjusting the intervention parameters and observing the resulting changes in the indicators.

6. Analyze the results: Analyze the simulated results to assess the potential impact of the interventions on improving access to maternal health. This may involve comparing the simulated outcomes with the baseline data and identifying any significant changes or improvements.

7. Refine and validate the model: Refine the simulation model based on feedback and validation from experts in the field. This may involve adjusting the model parameters, incorporating additional data sources, or conducting sensitivity analyses.

8. Communicate the findings: Present the findings of the simulation study in a clear and concise manner, highlighting the potential benefits of the recommended interventions in improving access to maternal health for HIV-positive adolescents. This information can be used to inform policy decisions and guide the implementation of targeted interventions.

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