Prevalence and correlates of HIV testing among adolescents 10-19 years in a post-conflict pastoralist community of Karamoja region, Uganda

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Study Justification:
This study aimed to investigate the prevalence and factors associated with HIV testing among adolescents in the Karamoja region of Uganda. The justification for this study is that adolescents are a priority group for HIV prevention and treatment. Understanding the prevalence and correlates of HIV testing in this population can help inform strategies to improve testing rates and identify undiagnosed HIV infections.
Highlights:
– The study found that 81.8% of the adolescents had ever tested for HIV and received their results, which is close to the global UNAIDS target of 90%.
– Factors associated with higher odds of HIV testing included older age (15-19 years), higher education level, and having ever had sex.
– Among the adolescents who had never tested, 64.5% accepted testing, and 2.4% were found to be HIV positive.
– Reasons for not accepting the test included fear of being tested and not feeling ready for an HIV test due to perceived suffering of HIV positive individuals.
Recommendations:
– Targeted testing efforts should be implemented to reach the undiagnosed HIV-infected adolescents in the Karamoja region.
– Strategies should be developed to address the fear and stigma associated with HIV testing, particularly among adolescents.
– Education and awareness programs should be implemented to promote the importance of HIV testing and reduce misconceptions about HIV.
Key Role Players:
– Ministry of Health, Uganda
– District health officials
– Health facility staff
– Community health workers
– Non-governmental organizations (NGOs) working in HIV prevention and treatment
Cost Items for Planning Recommendations:
– Training and capacity building for health facility staff and community health workers
– Development and implementation of targeted testing programs
– Education and awareness campaigns
– Provision of HIV testing kits and supplies
– Monitoring and evaluation of testing programs
– Coordination and collaboration between stakeholders

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study has a large sample size (1439 adolescents) and uses a cross-sectional design, which allows for the collection of data from a diverse group of participants. The study also includes multivariate logistic regression analysis to identify correlates of HIV testing. However, the abstract could be improved by providing more information on the representativeness of the sample and the generalizability of the findings. Additionally, the abstract could include information on the limitations of the study, such as potential biases and confounding factors. To improve the evidence, future studies could consider using a longitudinal design to assess changes in HIV testing behavior over time and include a comparison group to better understand the correlates of HIV testing among adolescents in this region.

Background: Adolescents are a priority group in HIV prevention and treatment. This study sought to determine the prevalence and correlates of HIV testing services (HTS) among adolescents in the pastoralist post-conflict area of Karamoja sub region, Uganda. Methods: A cross sectional study of 1439 adolescents aged 10-19 years, attending nine public health facilities in five of the seven districts of Karamoja, was conducted between August to September 2016. Adolescents were consecutively selected and interviewed using structured interviewer administered questionnaires. All respondents who had never tested for HIV were offered HTS. The main outcome was ever tested for HIV. Correlates of ever tested were analysed using multivariate logistic regression model. Results: Of the 1439 adolescents, 904 (62.8%) were females, 1203 (83.6%) were aged 15-19 years, 618 (43.0%) had attained primary education and 885 (61.5%) had ever had sex. Overall 1177 (81.8%) had ever tested and received HIV results. Older age (15-19 years) (adj.OR = 2.71, 95% CI: 1.85-3.96), secondary level education or higher (adj.OR = 2.33, 95% CI: 1.33-4.10), and ever had sex (adj.OR = 2.03, 95% CI: 1.42-2.90) were associated with higher odds of HIV testing. Of the 262 who had never tested, 169 (64.5%) accepted testing and 2.4% were HIV positive. Reasons for not accepting the test included fear of being tested and not ready for an HIV test because of perceived suffering HIV positive clients go through. Conclusion: Awareness of HIV status and uptake of HTS among adolescents in this hard-to-reach post-conflict region was high and close to the global UNAIDS target of 90%. However, the HIV prevalence of 2.4% among the non-testers who accepted to be tested was high and emphasises the need for targeted testing to reach the undiagnosed HIV infected adolescents in this region.

Karamoja sub-region is located in the north eastern part of Uganda and is occupied by a pastoralist community that is dependent on animals for survival and security. In this setting, males do much of the animal rearing while females do the housework. This society has over the years had conflicts with other tribal neighbourhoods fighting for land, water and animals, a practice that has of recent stabilised when the government initiated a disarmament program and provided other logistical and humanitarian support in terms of food, shelter, health care and education. According to the 2011 Uganda AIDS indicator survey, general population HIV prevalence in Karamoja was 3.5% [25]—prevalence among female adolescents 15–24 years was 3.5% compared to 2.6% in their male peers [26]. The UNICEF annual report of 2013 showed Karamoja lagging behind compared to western Uganda and Acholi regions regarding access to HTS and antiretroviral therapy (ART) for prevention of mother to child transmission (PMTCT) [27]. This was a cross-sectional survey involving 1439 adolescents (10–19 years) receiving primary health care services at the outpatient department (OPD) and maternal child health (MCH) clinics at public health facilities between August to September 2016. Bennett’s sample size formula [28] was used considering health facilities as the clusters and expected daily number of adolescents attending the facilities estimated at 140. Since the coverage of HIV testing among adolescents in this region was not known at the time of planning this study, a conservative prevalence of 50% and a design effect of 2.0 were used to yield a minimum sample size of 1375 participants from nine clusters. The highest volume facilities within the region—facilities that contributed 80% of all OPD attendance for adolescents in the previous year were sampled. The 80% mark was chosen to allow adequate representation of the districts and facilities within the region to be included in the study. The 9 facilities were located in five of the seven districts in the sub-region. The number of adolescents to be interviewed at each of these nine facilities was then determined using probability proportional to size (PPS), based on the numbers of adolescents who sought HTS in the prior quarter (April–June 2016) before data collection. Within each facility, adolescents were consecutively sampled until the required number per facility was obtained. All adolescents were approached for participation irrespective of their reason for coming to the facility. Ethical approval for this study was obtained from Makerere University School of Biomedical Sciences Higher Degree Research and Ethics Committee (SBSREC) and the Uganda National Council for Science and Technology (UNCST) before data collection. Additionally, permission was sought from district and health facility heads. After the selection, adolescents were screened for eligibility. Written informed parental or guardian consent and assent were obtained from adolescents < 18 years while those ≥18 years consented before enrolment into the study. Adolescents < 18 years who came to these facilities without a guardian or parent were advised to come back with a parent/guardian who could consent on their behalf. Parents/guardians and the adolescents were informed that the study included an assessment of knowledge and access to HIV services and that some would be offered an HIV test and tested if they accepted to do so. Respondents were interviewed by trained research assistants using semi-structure questionnaires and a modified HIV knowledge tool. All respondents were asked if they had ever tested for HIV and received their results. Those who had never tested where asked if they would like to be tested for HIV. Those who accepted were linked to the HTS sites within the health facilities. Based on the institutional policies, all research assistants signed a confidentiality agreement before data collection to ensure confidentiality of respondent’s results. Those who refused to test for HIV were asked for the reasons, and these were documented through open ended questions. All questionnaires were checked by field supervisors, for quality control. On a daily basis, the completed questionnaires were collected by a regional supervisor who kept them locked in an office. Data was entered into an access database, cleaned from spreadsheets. The reasons for refusal to test for HIV among those who had never tested were also coded and entered into the database. Clean data was exported to Stata statistical software version 13.0 for analysis. Data collected included; adolescents’ socio-demographic characteristics, HIV testing and receipt of results, knowledge of HIV prevention and transmission, knowledge of partner’s HIV status, engagement in high-risk sexual behaviours, history of having children, ever had sex, and use of substances or drugs. The main outcome in this study was “ever tested” for HIV which was coded as 1 for “Yes” and 0 for “No”. Independent variables included; socio-demographic characteristics like sex, age group, marital status, HIV knowledge (Yes = 1, No = 0), engaging in high-risk sexual behaviours (Yes = 1, No = 0), and use of drugs or other illicit substances (Yes = 1, No = 0). Sex was coded as (Female = 1, Male = 0), Age group coded as (15–19 years = 1 and 10-14 years = 0), Ever had sex coded as (Yes = 1, No = 0), Education level coded as (Nursery = 0, Primary = 1, ≥ secondary = 2). During testing for significant covariates; marital status was coded as; Never married = 0, Married/Cohabiting = 1 and Divorced/Separated = 2. HIV sero-status of their most recent partner was coded as (Yes = 1, No = 0), while the number of children was coded as (None = 0, 1–3 = 1). The HIV knowledge score was based on an aggregate score obtained by using a KQ-18 HIV questionnaire [29] modified to suit the cultural context for the study population. In line with other literature that considered mean and median scores for cut-off scores [30], participants in our study who scored above or equal to the median score of 11 were considered to have adequate HIV knowledge. Adolescents were considered to have engaged in high-risk sexual behaviours if they inconsistently used a condom and either had multiple sexual partners (two or more sexual partners) or having engaged in transactional sex in the last 6 months. Descriptive statistics for ever tested were presented as frequencies and percentages. A chi-square test was used to elicit associations between individual characteristics with HIV testing. Odds ratios were generated using a multivariate logistic regression model to elicit associations with HIV testing. We adjusted for a number of variables to include; sex of the adolescent, highest level of education attained, ever had sex, HIV knowledge, number of children the adolescent has ever had, knowing the HIV status of their sexual partners and high-risk sexual behaviours. We excluded marital status as an independent variable in the final model because of potential multi-collinearity with “ever had sex”. Variables with a p-value of 0.2 and below at bivariate analysis were entered into the multivariate models. Model parsimony was ensured by using the backward stepwise modelling and the likelihood ratio test between the full and restricted models. The model that yielded the highest variability in explaining the predicted variable (ever tested) was considered as the best fit. All analyses were conducted using STATA v.13 (College Station, TX).

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Based on the provided information, here are some potential innovations that could be used to improve access to maternal health in the Karamoja sub-region of Uganda:

1. Mobile Clinics: Implementing mobile clinics that travel to remote areas of the sub-region can provide maternal health services directly to the pastoralist community. This would help overcome geographical barriers and ensure that pregnant women have access to prenatal care, delivery services, and postnatal care.

2. Community Health Workers: Training and deploying community health workers within the pastoralist community can help increase awareness about maternal health and provide basic healthcare services. These workers can educate women about the importance of antenatal care, safe delivery practices, and postnatal care, as well as provide referrals to health facilities when needed.

3. Telemedicine: Introducing telemedicine services can enable pregnant women in remote areas to consult with healthcare professionals through video calls or phone calls. This can provide them with medical advice, guidance, and support during pregnancy, labor, and postpartum period, without the need to travel long distances to health facilities.

4. Maternal Health Education: Conducting targeted maternal health education programs within the pastoralist community can help increase knowledge and awareness about the importance of maternal health. These programs can focus on topics such as family planning, nutrition during pregnancy, safe delivery practices, and postnatal care.

5. Maternal Health Vouchers: Introducing maternal health vouchers that can be redeemed for maternal health services can help overcome financial barriers to accessing care. These vouchers can be distributed to pregnant women in the community, allowing them to receive essential maternal health services free of charge or at a reduced cost.

6. Strengthening Health Facilities: Investing in the improvement and expansion of health facilities within the sub-region can help ensure that there are enough resources and skilled healthcare providers to meet the maternal health needs of the community. This includes equipping facilities with necessary medical equipment, supplies, and medications.

7. Partnerships and Collaborations: Collaborating with local organizations, NGOs, and international agencies can help leverage resources and expertise to improve access to maternal health services. These partnerships can support initiatives such as capacity building, infrastructure development, and community outreach programs.

It is important to note that the specific implementation of these innovations would require further research, planning, and coordination with relevant stakeholders to ensure their effectiveness and sustainability in the context of the Karamoja sub-region.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Targeted HIV testing and counseling for pregnant women: Implement a program that specifically focuses on providing HIV testing and counseling services to pregnant women in the Karamoja sub-region. This program can be integrated into existing maternal health services to ensure that all pregnant women have access to HIV testing and receive appropriate counseling and support.

2. Community-based outreach and education: Develop a community-based outreach and education program to raise awareness about the importance of HIV testing during pregnancy and the benefits of early detection and treatment. This program can include activities such as community meetings, door-to-door visits, and educational sessions at schools and health facilities.

3. Mobile health (mHealth) interventions: Utilize mobile health technologies, such as SMS reminders and mobile applications, to provide information and reminders about HIV testing and prenatal care to pregnant women in the Karamoja sub-region. These interventions can help overcome barriers to accessing healthcare services, particularly in remote and hard-to-reach areas.

4. Strengthening healthcare infrastructure: Invest in improving healthcare infrastructure in the Karamoja sub-region, including the availability of trained healthcare providers, adequate facilities, and essential medical supplies. This will ensure that pregnant women have access to quality maternal health services, including HIV testing and treatment.

5. Collaboration and partnerships: Foster collaboration and partnerships between government agencies, non-governmental organizations, and community-based organizations to coordinate efforts and resources to improve access to maternal health services. This can include joint advocacy, resource sharing, and capacity building initiatives.

By implementing these recommendations, it is expected that access to maternal health, including HIV testing and counseling, will be improved in the Karamoja sub-region of Uganda. This will contribute to reducing the transmission of HIV from mother to child and improving the overall health outcomes for pregnant women and their infants.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health in the Karamoja sub-region of Uganda:

1. Mobile clinics: Implementing mobile clinics that can travel to remote areas of the sub-region, providing maternal health services directly to the pastoralist community. This would help overcome geographical barriers and ensure that pregnant women have access to essential healthcare services.

2. Community health workers: Training and deploying community health workers who are familiar with the local culture and language. These health workers can provide education, counseling, and basic maternal health services within the community, improving access and awareness.

3. Telemedicine: Introducing telemedicine services that allow pregnant women to consult with healthcare professionals remotely. This can be particularly useful in areas where access to healthcare facilities is limited. Telemedicine can provide guidance, support, and even remote monitoring of maternal health.

4. Maternal health education: Conducting targeted maternal health education programs within the community to raise awareness about the importance of antenatal care, safe delivery practices, and postnatal care. This can help dispel myths and misconceptions, encourage early healthcare-seeking behavior, and promote positive maternal health outcomes.

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

1. Baseline data collection: Gather information on the current state of maternal health access in the Karamoja sub-region, including data on the number of pregnant women receiving antenatal care, delivering in healthcare facilities, and accessing postnatal care.

2. Define indicators: Identify specific indicators that will be used to measure the impact of the recommendations, such as the number of pregnant women reached by mobile clinics, the number of community health workers trained and deployed, the number of telemedicine consultations conducted, and the level of maternal health knowledge within the community.

3. Implement interventions: Roll out the recommended interventions, such as establishing mobile clinics, training community health workers, implementing telemedicine services, and conducting maternal health education programs.

4. Data collection post-intervention: Collect data after the interventions have been implemented to measure the changes in the identified indicators. This can be done through surveys, interviews, and monitoring systems.

5. Data analysis: Analyze the collected data to assess the impact of the interventions on improving access to maternal health. Compare the post-intervention data with the baseline data to identify any significant changes or improvements.

6. Evaluation and adjustment: Evaluate the effectiveness of the interventions and make any necessary adjustments based on the findings. This may involve refining the interventions, expanding their reach, or addressing any challenges or barriers that were identified during the implementation phase.

By following this methodology, it would be possible to simulate the impact of the recommendations on improving access to maternal health in the Karamoja sub-region of Uganda.

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