Multiple sexual partners and condom use among 10 – 19 year-olds in four districts in Tanzania: What do we learn?

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Study Justification:
This study aimed to address the limited evidence on how multiple sexual partners influence condom use among 10 – 19 year-olds in four districts in Tanzania. By testing the hypothesis that sexual relationships with multiple partners spur condom use, the study aimed to provide valuable insights into the sexual behavior of adolescents in the study area.
Highlights:
– The study found that 23.4% of the 612 adolescents interviewed reported being sexually active.
– Among sexually active adolescents, 42.0% reported having had multiple sexual partners in the last 12 months.
– The overall prevalence of condom use among sexually active adolescents was 39.2%.
– The study found no evidence of an association between multiple sexual partners and condom use.
– However, condom use was associated with age group (15 – 19 years) and district of residence (Kigoma, Kilombero, and Ulanga).
Recommendations for Lay Reader:
– The study highlights the need for strategies to address risky sexual behavior among adolescents.
– Sex education programs should be implemented to increase awareness and knowledge about safe sex practices.
– Efforts should be made to improve access to condoms and create a friendly environment for condom availability.
– Parents, guardians, and community leaders should be involved in promoting safe sex practices among adolescents.
Recommendations for Policy Maker:
– Policies should be developed to prioritize comprehensive sex education in schools and communities.
– Investments should be made to improve access to and availability of condoms for adolescents.
– Collaboration between government agencies, NGOs, and community leaders is crucial in implementing effective interventions.
– Monitoring and evaluation systems should be established to assess the impact of interventions on reducing risky sexual behavior among adolescents.
Key Role Players:
– Ministry of Health and Social Welfare
– Ministry of Education
– Local government authorities
– Non-governmental organizations (NGOs) working in sexual and reproductive health
– Community leaders and influencers
– Parents and guardians
Cost Items for Planning Recommendations:
– Development and implementation of sex education curriculum and materials
– Training of teachers and educators on delivering comprehensive sex education
– Distribution and availability of condoms in schools, health facilities, and community centers
– Awareness campaigns and behavior change communication activities
– Monitoring and evaluation systems to assess the impact of interventions
Please note that the cost items provided are for planning purposes and do not reflect actual costs.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study used a large sample size (612 adolescents) and conducted statistical analysis to assess the association between multiple sexual partners and condom use. However, the study only relied on self-reported data, which may be subject to recall bias and social desirability bias. To improve the evidence, future studies could consider using objective measures of condom use and multiple sexual partners, such as biomarkers or partner notification methods. Additionally, conducting longitudinal studies to assess the long-term effects of multiple sexual partners on condom use would provide more robust evidence.

Abstract. Background: Although some studies in Tanzania have addressed the question of sexuality and STIs among adolescents, mostly those aged 15 – 19 years, evidence on how multiple sexual partners influence condom use among 10 – 19 year-olds is limited. This study attempts to bridge this gap by testing a hypothesis that sexual relationships with multiple partners in the age group 10 – 19 years spurs condom use during sex in four districts in Tanzania. Methods. Secondary analysis was performed using data from the Adolescents Module of the cross-sectional household survey on Maternal, Newborn and Child Health (MNCH) that was done in Kigoma, Kilombero, Rufiji and Ulanga districts, Tanzania in 2008. A total of 612 adolescents resulting from a random sample of 1200 households participated in this study. Pearson Chi-Square was used as a test of association between multiple sexual partners and condom use. Multivariate logistic regression model was fitted to the data to assess the effect of multiple sexual partners on condom use, having adjusted for potential confounding variables. STATA (10) statistical software was used to carry out this process at 5% two-sided significance level. Results: Of the 612 adolescents interviewed, 23.4% reported being sexually active and 42.0% of these reported having had multiple (> 1) sexual partners in the last 12 months. The overall prevalence of condom use among them was 39.2%. The proportion using a condom at the last sexual intercourse was higher among those who knew that they can get a condom if they want than those who did not. No evidence of association was found between multiple sexual partners and condom use (OR = 0.77, 95% CI = 0.35 – 1.67, P = 0.504). With younger adolescents (10 – 14 years) being a reference, condom use was associated with age group (15 – 19: OR = 3.69, 95% CI = 1.21 – 11.25, P = 0.022) and district of residence (Kigoma: OR = 7.45, 95% CI = 1.79 – 31.06, P = 0.006; Kilombero: OR = 8.89, 95% CI = 2.91 – 27.21, P < 0.001; Ulanga: OR = 5.88, 95% CI = 2.00 – 17.31, P = 0.001), Rufiji being a reference category. Conclusion: No evidence of association was found between multiple sexual partners and condom use among adolescents in the study area. The large proportion of adolescents who engage in sexual activity without using condoms, even those with multiple partners, perpetuates the risk of transmission of HIV infections in the community. Strategies such as sex education and easing access to and making a friendly environment for condom availability are important to address the risky sexual behaviour among adolescents. © 2011 Exavery et al; licensee BioMed Central Ltd.

The data for this study was collected as part of a larger household survey on Maternal, Newborn and Child Health (MNCH). This was a cross-sectional study that was carried out by the Ifakara Health Institute (IHI) in partnership with the WHO (Regional Office for Africa) and the MoHSW in four districts in Tanzania mainland where the IHI's Empower project is being implemented, namely Kigoma, Kilombero, Rufiji and Ulanga. "Multiple sexual partners" was defined as having had more than one sexual partner in the last 12 months preceding the interview. Condom use was measured dichotomously as having used/not used a condom at the last sexual intercourse for either partner. Following the standard age categorization, two groups of the study participants' age were formed as 10 – 14 and 15 – 19 years and referred to as younger adolescents and older adolescents respectively [25,26]. Sampling was done systematically using the CSurvey software. The sample size was determined depending on the indicators to be measured on population demographics (e.g. household size, fertility) and on local prevalence of selected conditions such as diarrhoea, cough with rapid breathing and fever. A total of 1200 random households, being 300 households selected randomly from each district were sampled. The target population was school-aged adolescents (10 – 19 years) and this survey was conducted during their mid-year holiday. In addition, sampled households were informed in advance by their respective community leaders to be available at home for an interview on agreed day. Respondents were childbearing-aged women with a child aged < 5 years and adolescents. Information regarding children aged < 5 years was given voluntarily by a child's mother or guardian after signing a written informed consent. Adolescents aged 18 and above signed the consent by themselves after which they were interviewed. For the minors (under 18), the consent was sought from their parents/guardians. The response rate of this household survey on MNCH was as high as 94%. Data collection took place between June and July 2008 through face-to-face interviews, using a questionnaire that was organized in different non-overlapping modules. Personal Digital Assistants (PDAs) were used for data collection and then the data were being synchronized into a laptop computer and backed up daily. The current study analyzed the Adolescents Module of the questionnaire, whereby 612 adolescents aged 10 – 19 years were interviewed. We analyzed some demographic variables particularly sex, age and place of residence. The analysis focused on five key questions: 1. Have you ever had sex? 2. The last time you had sex, did you or your partner use condom? 3. Have you ever had more than one sexual partner in the last 12 months? 4. Have you ever had a HIV test? 5. If you wanted, could you get a condom? The data were first analyzed descriptively to obtain summary statistics of the study participants. This was followed by testing for associations between condom use and the explanatory variables using Chi-square and student t-tests for categorical and continuous variables respectively. Multivariate logistic regression model was finally fitted to the data to assess the effect of multiple sexual partners on condom use, controlling for other potential confounding variables. This process was carried out using STATA (version 10) statistical software at 5% two-sided significance level.

Based on the information provided, the study focused on exploring the relationship between multiple sexual partners and condom use among adolescents aged 10-19 in four districts in Tanzania. The study found no evidence of an association between multiple sexual partners and condom use. However, it highlighted the high proportion of adolescents engaging in sexual activity without using condoms, which increases the risk of HIV transmission in the community.

To improve access to maternal health in relation to this study, potential innovations could include:

1. Comprehensive Sex Education: Implementing comprehensive sex education programs that provide accurate information about sexual health, including the importance of condom use and the risks associated with multiple sexual partners.

2. Youth-Friendly Health Services: Creating youth-friendly health services that provide confidential and non-judgmental care for adolescents, including access to condoms and other contraceptives.

3. Condom Distribution Programs: Implementing condom distribution programs in schools, community centers, and other accessible locations to ensure easy availability of condoms for adolescents.

4. Peer Education Programs: Training peer educators who can provide information and support to their peers regarding sexual health, condom use, and the importance of responsible sexual behavior.

5. Community Engagement: Engaging community leaders, parents, and other stakeholders in discussions and awareness campaigns to promote safe sexual practices and reduce stigma around condom use.

These innovations aim to address the risky sexual behavior among adolescents and improve access to maternal health by promoting condom use and reducing the transmission of HIV and other sexually transmitted infections.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health would be to implement comprehensive sex education programs and create a friendly environment for condom availability. This is important to address the risky sexual behavior among adolescents, as the study found a large proportion of adolescents engaging in sexual activity without using condoms, even those with multiple partners. By providing accurate information about sexual health and contraception, and ensuring easy access to condoms, it can help reduce the risk of transmission of HIV infections and other sexually transmitted infections among adolescents.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Strengthening healthcare infrastructure: Investing in healthcare facilities, equipment, and trained healthcare professionals in areas with limited access to maternal health services.

2. Mobile health clinics: Implementing mobile health clinics to reach remote and underserved areas, providing prenatal care, screenings, and education to pregnant women.

3. Telemedicine: Utilizing technology to provide remote consultations and support for pregnant women, especially in areas with limited access to healthcare facilities.

4. Community health workers: Training and deploying community health workers to provide education, support, and basic maternal healthcare services in their communities.

5. Maternal health education: Implementing comprehensive maternal health education programs to raise awareness about the importance of prenatal care, nutrition, and safe delivery practices.

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 the number of pregnant women receiving prenatal care, the number of safe deliveries, and the reduction in maternal mortality rates.

2. Collect baseline data: Gather data on the current state of maternal health in the target areas, including the number of healthcare facilities, healthcare professionals, and access to prenatal care.

3. Simulate scenarios: Use modeling techniques to simulate the potential impact of each recommendation on the identified indicators. This could involve estimating the increase in the number of healthcare facilities, the number of pregnant women reached through mobile clinics, or the improvement in access to prenatal care through telemedicine.

4. Analyze the results: Evaluate the simulated scenarios to determine the potential impact of each recommendation on improving access to maternal health. Compare the results to the baseline data to assess the effectiveness of each recommendation.

5. Refine and prioritize recommendations: Based on the analysis, refine the recommendations and prioritize those with the highest potential impact. Consider factors such as feasibility, cost-effectiveness, and sustainability.

6. Implement and monitor: Implement the recommended interventions and continuously monitor the progress and impact on improving access to maternal health. Adjust strategies as needed based on ongoing evaluation and feedback.

By following this methodology, policymakers and healthcare providers can make informed decisions on which recommendations to prioritize and implement to improve access to maternal health.

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