An interactive approach to teaching medical students to conduct HIV-risk–assessment interviews

Abstract Background There are a number of risk factors being used to identify undiagnosed HIV infected adults. As the number of undiagnosed people gets lesser and lesser, it is important to know if existing risk factors and risk assessment tools are valid for use. In this study, we validate existing HIV risk assessment tools and see if they are worth using for HIV case finding among adults who remain undiagnosed. Methods The Tanzania and Zambia Population-Based HIV Impact Assessment (PHIA) household surveys were conducted during 2016. We used adult interview and HIV datasets to assess validity of different HIV risk assessment tools. We first included 12 risk factors (being divorced, separated or widowed (DSW); having an HIV+ spouse; having one of the following within 12 months of the survey: paid work, slept away from home for at least a month, had multiple sexual partners, paid for sex, had sexually transmitted infection (STI), being a tuberculosis (TB) suspect, being very sick for at least 3 months; had ever sold sex; diagnosed with cervical cancer; and had TB disease into a risk assessment tool and assessed its validity by comparing it against HIV test result. Sensitivity, specificity and predictive value of the tool were assessed against the HIV test result. A receiver operator characteristic (ROC) analysis was conducted to determine a suitable cut-off score in order to have a tool with better sensitivity, specificity, and PPV. ROC comparison statistics was used to statistically test equality between AUC (area under the curve) of the different scores. ROC comparison statistics was also used to determine which risk assessment tool was better compared to the tool that contained all risk factors. Results Of 14,820 study participants, 57.8% were men, and had a median age of 30 (IQR: 21-24). HIV prevalence was 2.3% (95% confidence interval (CI): 2.0-2.6). For the tool containing all risk factors, HIV prevalence was 1.0% when none of the risk factors were positive (Score 0) compared to 3.2% when at least one factor (Score ≥1) was present and 8.0% when ≥4 risk factors were present. Sensitivity, specificity, PPV, and NPV were 82.3% (78.6%-85.9%), 41.9% (41.1%-42.7%), 3.2% (2.8%-3.6%), and 99.0% (98.8%-99.3%), respectively. The use of a tool containing conventional risk factors (all except those related with working and sleeping away) was found to have higher AUC compared to the use of all risk factors (p value <0.001), with corresponding sensitivity, specificity, PPV, and NPV of 63.5% (58.9%-68.1%), 66.2% (65.5%-67.0%), 4.2% (3.6%-4.8%), and 98.7% (98.5%-98.9%), respectively. Conclusion Use of a screening tool containing conventional risk factors improved HIV testing yield compared to doing universal testing. Prioritizing people who fulfil multiple risk factors should be explored further to improve HIV testing yield.

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Understanding the association between caregiver sex and HIV infection among orphans and vulnerable children in Tanzania: Learning from the USAID Kizazi Kipya Project

10.21203/rs.2.14365/v3 ◽

2020 ◽

Author(s):

Amon Exavery ◽

John Charles ◽

Erica Kuhlik ◽

Asheri Barankena ◽

Alison Koler ◽

...

Keyword(s):

Risk Assessment ◽

Hiv Testing ◽

Hiv Risk ◽

Urban Areas ◽

Hiv Positive ◽

Hiv Status ◽

Vulnerable Children ◽

Orphans And Vulnerable Children ◽

Male Caregivers ◽

Hiv Risk Assessment

Abstract Background Tanzania has met only 50.1% of the 90% target for diagnosing HIV in children. Context-specific strategies are necessary to find the hidden children for HIV testing. This study assesses the association between caregiver sex and HIV status of orphans and vulnerable children (OVC). Methods Data originate from the community-based, USAID-funded Kizazi Kipya Project, which works towards increasing OVC’s and their caregivers’ uptake of HIV/AIDS and other social services in Tanzania. Included in this study are 39,578 OVC ages 0–19 years who the project served during January-March 2017 in 18 regions of Tanzania and who voluntarily reported their HIV status. Data analysis involved multi-level logistic regression, with OVC HIV status as the outcome and caregiver’s sex the main independent variable. Results Three-quarters (74.3%) of the OVC included in the study had female caregivers, and their overall HIV prevalence was 7.1%. The prevalence was significantly higher (p<0.001) among OVC with male caregivers (7.8%) than among OVC with female caregivers (6.8%), and indeed, multivariate analysis showed that OVC with male caregivers were significantly 40% more likely to be HIV-positive than those with female caregivers (OR=1.40, 95% CI 1.08–1.83). This effect was the strongest among 0–4 year-olds (OR=4.02, 95% CI 1.61–10.03), declined to 1.72 among 5–9 year-olds (OR=1.72, 95% CI 1.02–2.93), and lost significance for children over age 9 years. This effect was adjusted for OVC sex and nutritional status; caregiver marital status, education level, and HIV status; family’s place of residence, size, wealth quintile, and health insurance ownership; and co-residence of multiple OVC. Conclusion OVC in Tanzania with male caregivers have a 40% higher likelihood of being HIVpositive than those with female caregivers. HIV risk assessment activities should target OVC with male caregivers, as well as OVC who have malnutrition, HIV-positive caregivers, or caregivers who do not disclose their HIV status to community volunteers. Further, younger HIV-positive OVC are more likely to live in rural areas, while older HIV-positive OVC are more likely to live in urban areas. These factors should be integrated in HIV risk assessment algorithms to enhance HIV testing yields and pediatric case-finding in the OVC population in Tanzania.

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Closing the pediatric gap in the first 90: is caregiver sex associated with HIV status of orphans and vulnerable children? Learning from the USAID Kizazi Kipya Project in Tanzania

10.21203/rs.2.14365/v1 ◽

2019 ◽

Author(s):

Amon Exavery ◽

John Charles ◽

Erica Kuhlik ◽

Asheri Barankena ◽

Alison Koler ◽

...

Keyword(s):

Risk Assessment ◽

Hiv Testing ◽

Hiv Risk ◽

Urban Areas ◽

Hiv Positive ◽

Hiv Status ◽

Vulnerable Children ◽

Orphans And Vulnerable Children ◽

Male Caregivers ◽

Hiv Risk Assessment

Abstract Background Tanzania has met only 50.1% of the 90% target for diagnosing HIV in children. Context-specific strategies are necessary to find the hidden children for HIV testing. This study assesses the association between caregiver sex and HIV status of orphans and vulnerable children (OVC). Methods Data originate from the community-based, USAID-funded Kizazi Kipya Project, which works towards increasing OVC’s and their caregivers’ uptake of HIV/AIDS and other social services in Tanzania. Included in this study are 39,578 OVC ages 0–19 years who the project served during January-March 2017 in 18 regions of Tanzania and who voluntarily reported their HIV status. Data analysis involved multi-level logistic regression, with OVC HIV status as the outcome and caregiver’s sex the main independent variable.Results Three-quarters (74.3%) of the OVC included in the study had female caregivers, and their overall HIV prevalence was 7.1%. The prevalence was significantly higher (p<0.001) among OVC with male caregivers (7.8%) than among OVC with female caregivers (6.8%), and indeed, multivariate analysis showed that OVC with male caregivers were significantly 40% more likely to be HIV-positive than those with female caregivers (OR=1.40, 95% CI 1.08–1.83). This effect was the strongest among 0–4 year-olds (OR=4.02, 95% CI 1.61–10.03), declined to 1.72 among 5–9 year-olds (OR=1.72, 95% CI 1.02–2.93), and lost significance for children over age 9 years. This effect was adjusted for OVC sex and nutritional status; caregiver marital status, education level, and HIV status; family’s place of residence, size, wealth quintile, and health insurance ownership; and co-residence of multiple OVC. Conclusion OVC in Tanzania with male caregivers have a 40% higher likelihood of being HIVpositive than those with female caregivers. HIV risk assessment activities should target OVC with male caregivers, as well as OVC who have malnutrition, HIV-positive caregivers, or caregivers who do not disclose their HIV status to community volunteers. Further, younger HIV-positive OVC are more likely to live in rural areas, while older HIV-positive OVC are more likely to live in urban areas. These factors should be integrated in HIV risk assessment algorithms to enhance HIV testing yields and pediatric case-finding in the OVC population in Tanzania.

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