Survey on prevalence and risk factors on HIV-1 among pregnant women in North-Rift, Kenya: A hospital based cross-sectional study conducted between 2005 and 2006

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Study Justification:
– The HIV/AIDS epidemic in Kenya is a major public health problem.
– Estimating the prevalence of HIV in pregnant women provides essential information for effective implementation of HIV/AIDS control measures and monitoring of HIV spread within the country.
Study Highlights:
– The study was conducted between 2005 and 2006 in three district hospitals in North-Rift, Kenya.
– A total of 4,638 pregnant women were tested, and 309 (6.7%) were found to be HIV seropositive.
– The majority of antenatal attendees did not know their HIV status prior to visiting the clinic.
– The highest proportion of HIV-infected women was in the age group 21-25 years.
– Women in a polygamous relationship were significantly more likely to be HIV infected compared to those in a monogamous relationship.
– The highest HIV prevalence was recorded among antenatal attendees who had attended secondary schools.
– The mean CD4 count was 466 cells/mm3, and only nine women were on antiretroviral therapy.
Study Recommendations:
– Seroprevalence of HIV was found to be consistent with national HIV sentinel surveys.
– Enumeration of T-lymphocyte (CD4/8) should be carried out routinely in antenatal clinics for proper timing of initiation of antiretroviral therapy among HIV-infected pregnant women.
Key Role Players:
– Ministry of Health, Kenya
– District hospitals in North-Rift, Kenya
– Antenatal clinic staff
– Maternal child health (MCH) facilities
– Kenya Medical Research Institute Scientific Steering Committee and Ethical Review Board
Cost Items for Planning Recommendations:
– HIV testing kits
– Training for antenatal clinic staff
– Equipment and supplies for T-lymphocyte enumeration
– Antiretroviral therapy medications
– Data management and analysis software
– Research personnel salaries and allowances
– Transportation and logistics for sample collection and delivery
– Communication and dissemination of study findings

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study provides a clear description of the methods used, including blood sample collection, HIV testing, and lymphocyte subset counts. The study also reports the prevalence of HIV infection among pregnant women and identifies some risk factors. However, the abstract does not provide detailed information on the sample size, sampling method, or representativeness of the study population. To improve the strength of the evidence, the abstract could include these additional details and provide more information on the statistical analyses performed.

Background. The HIV/AIDS epidemic in Kenya is a major public-health problem. Estimating the prevalence of HIV in pregnant women provides essential information for an effective implementation of HIV/AIDS control measures and monitoring of HIV spread within a country. The objective of this study was to determine the prevalence of HIV infection, risk factors for HIV/AIDS and immunologic (lymphocyte profile) characteristics among pregnant women attending antenatal clinics in three district hospitals in North-Rift, Kenya. Methods. Blood samples were collected from pregnant women attending antenatal clinics in three district hospitals (Kitale, Kapsabet and Nandi Hills) after informed consent and pre-test counseling. The samples were tested for HIV antibodies as per the guidelines laid down by Ministry of Health, Kenya. A structured pretested questionnaire was used to obtain demographic data. Lymphocyte subset counts were quantified by standard flow cytometry. Results. Of the 4638 pregnant women tested, 309 (6.7%) were HIV seropositive. The majority (85.1%) of the antenatal attendees did not know their HIV status prior to visiting the clinic for antenatal care. The highest proportion of HIV infected women was in the age group 21-25 years (35.5%). The 31-35 age group had the highest (8.5%) HIV prevalence, while women aged more than 35 years had the lowest (2.5%). Women in a polygamous relationship were significantly more likely to be HIV infected as compared to those in a monogamous relationship (p = 0.000). The highest HIV prevalence (6.3%) was recorded among antenatal attendees who had attended secondary schools followed by those with primary and tertiary level of education (6% and 5% respectively). However, there was no significant relationship between HIV seropositivity and the level of education (p = 0.653 and p = 0.469 for secondary and tertiary respectively). The mean CD4 count was 466 cells/mm3(9-2000 cells/mm3). Those that had less than 200 cells/mm3accounted for 14% and only nine were on antiretroviral therapy. Conclusion. Seroprevalence of HIV was found to be consistent with the reports from the national HIV sentinel surveys. Enumeration of T-lymphocyte (CD4/8) should be carried out routinely in the antenatal clinics for proper timing of initiation of antiretroviral therapy among HIV infected pregnant women.

The study was carried out from April 2005 to September 2006 at Kitale, Kapsabet and Nandi hills district hospitals. All pregnant women attending the antenatal clinic for the first time during the current pregnancy were included. Voluntary counseling and testing (VCT) for HIV among pregnant women has been integrated into maternal child health (MCH) facilities in all the public hospitals as part of prevention of mother to child transmission (PMTCT) of HIV. All the pregnant women attending the antenatal clinics were sensitized with basic knowledge on HIV/AIDS. The importance of knowing their HIV status and the availability of measures to reduce the risk of mother to child transmission were explained in greater detail. The objectives of the study were explained and informed consent was obtained by signature or finger print from ANC attendees. Enrolment and counseling were done in all the three hospitals. This study was approved by the Kenya Medical Research Institute Scientific Steering Committee and Ethical Review Board (Ref. SSC No. 822). The study was conducted according to the national and international regulations governing the use of human subjects in biomedical research. A pre-tested standard structured questionnaire was used for interview. The information sought included basic demographic data. Routine investigations in the antenatal clinic necessitate blood withdrawal for HIV testing. A small amount of this blood was used also for enumeration of T-lymphocytes, which is not done routinely. Five milliliters venous blood sample was collected in a sterile vacutainer tube containing EDTA as anticoagulant from all pregnant women. HIV antibodies were tested by rapid tests as per the guidelines laid down by the Ministry of Health, Kenya. Rapid parallel testing was carried out using Determine™ HIV-1/2 (Abbott Diagnostic Division) and Uni-Gold™ HIV (Trinity Biotech) test kits. In case of discrepancy, Bioline HIV 1/2 3.0 (Standard Diagnostics) was used as a tiebreaker. Lymphocyte subset counts were performed by standard flow cytometry. The details of the procedure were performed in accordance with the manufacturer’s instructions (Tritest; Becton-Dickinson, Franklin Lakes, NJ). Briefly, 50 μl of whole blood with EDTA were incubated with three-color fluorochrome-labeled monoclonal antibodies. After lysis and incubation, flow cytometric analysis was performed on a FACSCalibur cytometer using an automatic acquisition and analysis program (Multiset; Becton-Dickinson). The absolute CD4 T cell counts were recorded and used in this study. Data were entered using Microsoft Access (Microsoft Corporation, Redmond, Washington) and statistical analyses performed using EPI INFO 3.2.2 statistical package. We present odds ratios (OR), and 95% confidence interval (CI) for factors associated with HIV infection.

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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) Solutions: Develop mobile applications or SMS-based systems to provide pregnant women with information on HIV/AIDS prevention, antenatal care, and access to healthcare services. These platforms can also be used for appointment reminders and medication adherence.

2. Point-of-Care Testing: Implement rapid HIV testing at antenatal clinics to provide immediate results, allowing for timely initiation of antiretroviral therapy if needed. This can improve access to HIV testing and reduce the number of pregnant women who are unaware of their HIV status.

3. Integrated Antenatal Care: Integrate HIV testing and counseling into routine antenatal care services to ensure that all pregnant women are screened for HIV and receive appropriate care and support.

4. Community Health Workers: Train and deploy community health workers to provide education, counseling, and support to pregnant women in remote or underserved areas. These workers can help increase awareness about HIV/AIDS, promote antenatal care attendance, and facilitate referrals to healthcare facilities.

5. Telemedicine: Utilize telemedicine technologies to enable remote consultations between pregnant women and healthcare providers. This can help overcome geographical barriers and improve access to specialized maternal health services, including HIV/AIDS management.

6. Public-Private Partnerships: Foster collaborations between public health agencies, private healthcare providers, and non-governmental organizations to expand access to maternal health services, including HIV testing and treatment. This can involve leveraging existing infrastructure and resources to reach more pregnant women.

7. Health Information Systems: Implement electronic health records and data management systems to improve the collection, analysis, and reporting of maternal health data. This can help identify trends, monitor progress, and inform evidence-based decision-making for targeted interventions.

8. Capacity Building: Invest in training and capacity building programs for healthcare providers to enhance their knowledge and skills in maternal health, including HIV/AIDS prevention, testing, and treatment. This can ensure that healthcare professionals are equipped to provide quality care to pregnant women.

These innovations can help address barriers to accessing maternal health services, improve HIV/AIDS prevention and management among pregnant women, and ultimately contribute to better maternal and child health outcomes.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health is to integrate routine HIV testing and counseling into antenatal care services. This can be done by following these steps:

1. Provide basic knowledge on HIV/AIDS to all pregnant women attending antenatal clinics, emphasizing the importance of knowing their HIV status and the availability of measures to reduce the risk of mother-to-child transmission.

2. Sensitize pregnant women about the benefits of voluntary counseling and testing (VCT) for HIV, which is integrated into maternal child health (MCH) facilities in public hospitals as part of prevention of mother-to-child transmission (PMTCT) of HIV.

3. Obtain informed consent from pregnant women attending antenatal clinics for HIV testing and counseling.

4. Conduct routine HIV testing using rapid tests as per the guidelines laid down by the Ministry of Health, Kenya. Rapid parallel testing can be carried out using Determine™ HIV-1/2 and Uni-Gold™ HIV test kits, with Bioline HIV 1/2 3.0 used as a tiebreaker in case of discrepancy.

5. Collect blood samples from pregnant women attending antenatal clinics for HIV testing and also for enumeration of T-lymphocytes, which is not done routinely. This can be done by collecting 5 milliliters of venous blood in a sterile vacutainer tube containing EDTA as an anticoagulant.

6. Perform lymphocyte subset counts using standard flow cytometry to determine CD4 T cell counts.

7. Record and analyze the data using appropriate statistical packages, such as EPI INFO 3.2.2.

8. Use the findings from the study to identify risk factors for HIV/AIDS among pregnant women and develop targeted interventions to reduce HIV prevalence and improve maternal health outcomes.

By integrating routine HIV testing and counseling into antenatal care services, pregnant women can be screened for HIV infection and provided with appropriate interventions, such as antiretroviral therapy, to reduce the risk of mother-to-child transmission. This approach can contribute to improving access to maternal health and reducing the prevalence of HIV/AIDS among pregnant women in North-Rift, Kenya.
AI Innovations Methodology
In order to improve access to maternal health, here are some potential recommendations:

1. Strengthening Antenatal Care (ANC) Services: Enhance the quality and availability of ANC services by ensuring that all pregnant women have access to comprehensive care, including HIV testing, counseling, and treatment.

2. Community-Based Interventions: Implement community-based interventions to increase awareness about maternal health and HIV/AIDS, provide education on prevention methods, and promote early antenatal care seeking behavior.

3. Mobile Health (mHealth) Solutions: Utilize mobile technology to provide information and reminders to pregnant women about antenatal care visits, HIV testing, and treatment options. This can help overcome barriers such as distance and lack of transportation.

4. Task Shifting: Train and empower community health workers to provide basic antenatal care services, including HIV testing and counseling, in order to increase access to care in remote areas.

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

1. Define the indicators: Identify key indicators to measure the impact of the recommendations, such as the number of pregnant women accessing ANC services, the percentage of pregnant women tested for HIV, and the number of pregnant women receiving appropriate treatment.

2. Data collection: Collect baseline data on the current status of maternal health access, including ANC attendance rates, HIV testing rates, and treatment coverage. This can be done through surveys, interviews, and analysis of existing data.

3. Model development: Develop a simulation model that incorporates the recommendations and their potential impact on the identified indicators. This model should take into account factors such as population demographics, healthcare infrastructure, and resource availability.

4. Scenario analysis: Run different scenarios in the simulation model to assess the potential impact of each recommendation on the identified indicators. This can help determine which recommendations are most effective in improving access to maternal health.

5. Sensitivity analysis: Conduct sensitivity analysis to assess the robustness of the results and identify key factors that may influence the outcomes. This can help refine the recommendations and identify potential challenges or limitations.

6. Evaluation and monitoring: Continuously monitor and evaluate the implementation of the recommendations to assess their effectiveness and make necessary adjustments. This can be done through regular data collection, analysis, and feedback from healthcare providers and pregnant women.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of different recommendations on improving access to maternal health and make informed decisions on which interventions to prioritize.

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