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Interrupting HIV and TB Stigma in the Household in Uganda

Interrupting HIV and TB Stigma in the Household During TB Contact Investigation in Uganda

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05124665
Enrollment
612
Registered
2021-11-18
Start date
2021-10-25
Completion date
2022-08-30
Last updated
2024-02-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hiv, Social Behavior, Stigma, Social, Stigmatization, Tuberculosis

Keywords

HIV, Tuberculosis, Stigma, Uganda

Brief summary

The investigators will carry out a prospective, household cluster-randomized, implementation trial evaluating a complex, multi-component, social and behavioral intervention designed to normalize the acceptance of HIV testing in the household and increase diagnosis of HIV.

Detailed description

An estimated 39 million people worldwide are living with HIV, but nearly half do not know their status because they are unaware that they are at risk, unable to access counseling and testing, or unwilling to accept testing because of stigma and fear. Layered on to the stigma of HIV is the risk of tuberculosis (TB), the leading cause of death among persons living with HIV (PLWH). Home testing is a promising approach to increase testing and linkage to care for HIV because it can reach individuals outside the health system, eliminate the costs of traveling for testing, offer testing in a familiar environment, and increase engagement with care among those found to be living with HIV. Nevertheless, many individuals offered home HIV testing in sub-Saharan Africa decline to test. The investigators developed a complex intervention to increase uptake of testing for HIV among household members by reducing perceptions of stigma associated with HIV and testing for HIV. The intervention involves lay health workers (LHWs) delivering a novel invitation strategy for HIV testing in households that includes 1) acceptance-optimized sequencing, 2) prosocial messaging, and 3) salivary HIV testing. The investigators will administer HIV and TB stigma scales before and after the invitation. The investigators will conduct a household randomized controlled trial to test the intervention's impact on household HIV stigma and uptake of testing among household members undergoing TB contact investigation. The investigators will measure our co-primary outcomes of HIV and TB stigma using standardized instruments before invitation and after completion of post-test counseling. The investigators will measure the proportion consenting to HIV testing, yield of HIV diagnoses, and the proportion of new PLWH linked to HIV care at 1 month and reassess household HIV and TB stigma at 3 months. This study will be conducted in Kampala, Uganda, and will involve TB index patients and their household contacts. Households will be recruited and enrolled through index patients initiating treatment for pulmonary tuberculosis (PTB) at Kampala Capital City Authority health facilities. The investigators will enroll index patients and their households from Kiswa, Kawaala, and Kisenyi Health Centers, each a public-sector, primary care facility. This study will enroll households (index patients + their household contacts). Only household contacts are eligible for participation; close contacts are not eligible. For the purposes of this study, household contacts are defined as those individuals sleeping under the same roof as the index patient for one or more nights within the past three months. Upon encountering a patient initiating treatment for TB or returning for 2-week follow-up, study CHWs will assess index patients for household-level eligibility for the study. All index patients whose households meet these criteria will be asked to provide verbal consent after reviewing an information sheet. If the index patient is a minor (age \< 18 years), the guardian of the index patient will be asked to provide verbal consent. After study enrollment, a CHW will work with the index patient and, if available, treatment supporter to schedule the home visit. Households will be randomly assigned to one of the two CHW teams to receive the intervention or standard or care strategy. After the enrollment of the household through the index patient, household contact investigation will take place. All household contacts who meet these criteria will be asked to provide verbal consent after reviewing an information sheet. If the contact is a minor (aged 15-17), he or she will be asked to provide verbal assent with his/her parent/guardian providing consent. Enrolling in the study does not require eligibility for or consent to HIV testing. Those who choose to participate in the study and are eligible for HIV testing will be subsequently offered testing and may consent or decline. Those who choose to participate in the study and report conditions that render them ineligible for HIV testing, such as already known to be a PLWH, testing negative within the last three months, or currently in TB treatment, will not be offered HIV testing but will be eligible to participate in other study procedures. Variable block randomization will be done at the level of the household and will be performed at the time of household enrollment. Block sizes will have a minimum of 4 households, a maximum of 8 households. The investigators will utilize Study Randomizer, an online randomization tool with concealed allocation, to generate the allocation sequence. When a CHW determines that an index patient is eligible for the study, and after the index patient or guardian has provided verbal informed consent, the CHW will place a phone call to the study coordinator. The study coordinator will then enroll the household using the Study Randomizer tool and let the CHW know the study allocation. The CHW will then record the appropriate allocation in the survey software, along with the randomization ID, and contact the appropriate CHW team for the household visit. The index patient will be given the name of the community health worker who will be visiting the household, and immediately connected with that person by telephone to arrange the home visit. Households randomized to intervention group (Social Support Group) will be offered the social-behavioral intervention. Households randomized to the standard of care group (Standard of Care) will be offered oral testing without any social-behavioral intervention. CHWs will operate in teams that are always assigned to the same arm of the study. There will be three teams of CHWs in total: one intervention group, one standard of care group, and one clinic-based group that will always carry out initial enrollment of index patients and record any clinic follow-up by individuals in either arm of the study. Regardless of intervention or control arm, CHWs will deliver a short, 13-item TB and HIV stigma scale to all household contacts at the beginning (prior to TB evaluation) and end of the household visit (after all TB and HIV procedures). The scale was adapted from the Van Rie TB HIV stigma scale specifically for this context. The scales will be administered first at the beginning of the home visit, then again at its conclusion. The primary outcome is uptake of HIV testing, defined as the proportion of eligible individuals in the household who undergo testing after a test offer compared between the intervention arm and the standard of care arm..

Interventions

BEHAVIORALSocial Support

The intervention to be evaluated in this study is a multidimensional, socio-behavioral Norming intervention. The various components of this intervention are designed to harness household dynamics and prosocial inclinations to encourage individuals to accept the HIV testing invitation. Each component is briefly described in the arm description.

Sponsors

Fogarty International Center of the National Institute of Health
CollaboratorNIH
New York University
CollaboratorOTHER
Makerere University
CollaboratorOTHER
Walimu
CollaboratorOTHER
National Institute of Mental Health (NIMH)
CollaboratorNIH
Yale University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE (Subject, Investigator)

Masking description

There are 3 teams of community health workers (CHWs) in total: one intervention, one standard of care, and one clinic-based that will always carry out initial enrollment and record clinic follow-up for both arms. Blinding of the CHWs is not feasible because it is a behavioral intervention that is easily recognized and CHWs must be trained to deliver either the standard of care or the intervention strategy. CHWs will collect data for the outcomes. CHWs will be separated into two teams and will only have electronic permissions to access training, procedures, forms, and contact information related to their assigned allocation within the electronic case record forms. They will be blinded to randomization procedures and outcomes. Participants will be blinded to their randomization assignment. Investigators and study staff will be blinded to study outcomes until the database is locked at the end of the trial. The onsite study coordinator who manages randomization will not be blinded.

Eligibility

Sex/Gender
ALL
Age
15 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Index Patient and Household Eligibility: * Index patient is eligible for contact investigation (TB patient of any age identified in the facility's National TB and Leprosy Programme (NTLP) TB Treatment Register as initiating treatment or returning for 2-week follow-up) * Index patient or legal guardian agrees to study procedures in addition to routine contact investigation * Index patient has at least 2 self-reported household contacts age 15 or above * Household is within the boundaries of the Kampala Capital City Authority, Uganda * Does not have multi-drug resistant (MDR) TB Contact Participant Eligibility: * Household contact age ≥15 years * Agrees to study procedures in addition to routine contact investigation

Design outcomes

Primary

MeasureTime frameDescription
Proportion of Contacts Accepting HIV Testingup to 8 weeksTo test the hypothesis that a norming intervention can increase test uptake, the investigators will compare testing uptake among the intervention households and control households using cluster-adjusted chi-squared tests of proportion and by fitting mixed effects logistic regression models with two levels (household, contact). The effect of the intervention will then be evaluated by comparing adjusted slope differences in the primary outcomes (test uptake) between the intervention and the control arms, using random intercept mixed logit models to account for clustering by household.

Secondary

MeasureTime frameDescription
Change in Score of Perceived HIV StigmaBaseline to End of Interview (Up to 8 hours)Change in HIV Stigma will be evaluated by measuring the change in HIV-TB stigma as measured by the Van Rie paired HIV-TB Stigma Scales (adapted for use in Uganda) using multilevel models. The investigators will use mixed effects Poisson regression models to evaluate changes in HIV stigma measured after the household visit among a two-stage,stratified random sample of participants. Van Rie Perceived TB and HIV Stigma scales adapted and validated in the Ugandan context are used. Scores range from 0 to 100 (standardized scale). Higher values represent higher levels of perceived stigma. The timeframe has been updated to reflect changes in follow up due to COVID-19 restrictions.
Change in Score of Perceived TB StigmaBaseline to End of Interview (Up to 8 hours)Change in TB Stigma will be evaluated by measuring the change in perceived TB stigma as measured by the Van Rie paired HIV-TB Stigma Scales (adapted for use in Uganda) using multilevel models. The investigators will use mixed effects Poisson regression models to evaluate changes in TB stigma measured after the household visit among a two-stage,stratified random sample of participants. Van Rie Perceived TB and HIV Stigma scales adapted and validated in the Ugandan context are used. Scores range from 0 to 100 (standardized scale). Higher values represent higher levels of perceived stigma. The timeframe has been updated to reflect changes in follow up due to COVID-19 restrictions.
Change in Effects of Perceived HIV Stigma on HIV Test UptakeBaseline to Immediately post intervention (up to 8 hours)The investigators will conduct a causal mediation analysis to determine the degree to which the effects of the intervention on HIV stigma explain the improvement in HIV test uptake using observed-variable structural equation modeling. HIV stigma will be measured using the Van Rie paired HIV-TB Stigma Scales (adapted for use in Uganda) and standardized scores (0 to 100) will be utilized. Higher score represents higher levels of perceived stigma.
Proportion of Index Patient Nominated Household Members Who Accept HIV Testup to 8 weeksThe investigators will measure the proportion of testing preference predictions made by the index patient about their household contacts that were accurate, that is, the proportion of household members who accepted the HIV test among those nominated by the index patient as being most likely to accept the HIV test. The proportion of first testers who accepted the HIV test in the intervention arm will be compared to the proportion of first testers who took the HIV test in the control arm.
Number of Social Support Household Contacts Deciding to Test for HIVup to 8 weeksThe investigators will estimate in the intervention arm the effect of first testers' decision to disclose on subsequent testers' decisions to test in the intervention arm using a logistic regression model. This will be assessed with relative risk of first testers' decision to disclose testing decision on subsequent household members decision to test for HIV.
Change in Effects of Perceived TB Stigma on HIV Test UptakeBaseline to End of Interview (Up to 8 hours)The investigators will conduct a causal mediation analysis to determine the degree to which the effects of the intervention on TB stigma explain the improvement in HIV test uptake using observed-variable structural equation modeling. TB stigma will be measured using the Van Rie paired HIV-TB Stigma Scales (adapted for use in Uganda) and standardized scores (0 to 100) will be utilized. Higher score represents higher levels of perceived stigma.

Other

MeasureTime frameDescription
Count of Social Influence Nominations (Participants) by the Index Patient That Align With Nominations by the Household Contactsup to 8 weeksThe investigators will assess the concordance of index patients' perceptions of their household contacts' influence on health decisions within the household with the perceptions of the rest of their household. To do so, the investigators will measure the number of participants that provide social influence nominations that align with nominations by the household contacts in the intervention arm.

Countries

Uganda

Participant flow

Recruitment details

208 index participants were randomized to be contacted for either Social Support or Standard of Care were identified and randomized to be approached in the community. Presented are the totals that agreed to participate in terms of the number of index participants that consented to participants and then added household contacts that consented to also participate.

Participants by arm

ArmCount
Social Support: Household Contacts
CHWs will offer HIV testing to the individual nominated by the index patient as most likely to test. If this person is not present, CHWs will decide which contact should be offered testing first. CHWs will use a prosocial script for HIV testing: Knowing your status sets a good example for your household. CHWs will follow an opt-out strategy: This test kit is approved by the Ministry of Health and used in KCCA health facilities. I am going to offer you a free HIV test now, is that okay?. If the initial household contact who is offered HIV testing agrees to test, the CHW will ask if he/she is willing to share his/her decision to test with other members of the household: Would you like to share your decision to test with the others? Sharing is completely optional. However, learning that someone else in their household decided to test sometimes gives people the strength to test themselves. Sharing your decision might help another person find the strength to test. Social Support: The intervention to be evaluated in this study is a multidimensional, socio-behavioral Norming intervention. The various components of this intervention are designed to harness household dynamics and prosocial inclinations to encourage individuals to accept the HIV testing invitation. Each component is briefly described in the arm description.
285
Social Support: Index Participants
Social Support: The intervention to be evaluated in this study is a multidimensional, socio-behavioral Norming intervention. The various components of this intervention are designed to harness household dynamics and prosocial inclinations to encourage individuals to accept the HIV testing invitation. Each component is briefly described in the arm description.
79
Standard of Care: Household Contacts
As a control for the socio-behavioral intervention, the control arm will lack the socio-behavioral intervention components. The order of testing invitation will be decided by the CHW; and CHWs will be trained at baseline to provide standard, opt-in framing of test offers, without any mention of asking contacts to share their testing decision with other household contacts. Oral HIV kits will also be used in control households.
187
Standard of Care: Index Participants
As a control for the socio-behavioral intervention, the control arm will lack the socio-behavioral intervention components. The order of testing invitation will be decided by the CHW; and CHWs will be trained at baseline to provide standard, opt-in framing of test offers, without any mention of asking contacts to share their testing decision with other household contacts. Oral HIV kits will also be used in control households.
61
Total612

Baseline characteristics

CharacteristicSocial Support: Household ContactsTotalStandard of Care: Index ParticipantsStandard of Care: Household ContactsSocial Support: Index Participants
Age, Continuous29.6 years
STANDARD_DEVIATION 12.7
30.3 years
STANDARD_DEVIATION 13.4
28.6 years
STANDARD_DEVIATION 18.5
31.4 years
STANDARD_DEVIATION 14.4
31.3 years
STANDARD_DEVIATION 16.9
Education Level
A-Level
38 Participants56 Participants18 Participants
Education Level
Level 1-4
22 Participants37 Participants15 Participants
Education Level
Level 5-7
66 Participants116 Participants50 Participants
Education Level
No Formal Education
13 Participants20 Participants7 Participants
Education Level
O-Level
104 Participants170 Participants66 Participants
Education Level
Post-Graduate
6 Participants8 Participants2 Participants
Education Level
Tertiary/University
31 Participants55 Participants24 Participants
Education Level
Vocational
5 Participants10 Participants5 Participants
HIV Status
Not Known to be Living with HIV
224 Participants475 Participants49 Participants152 Participants50 Participants
HIV Status
Person Living with HIV
0 Participants41 Participants12 Participants0 Participants29 Participants
HIV Status
Unknown/Never Tested
61 Participants96 Participants0 Participants35 Participants0 Participants
Race and Ethnicity Not Collected0 Participants
Region of Enrollment
Uganda
285 participants612 participants61 participants187 participants79 participants
Sex: Female, Male
Female
187 Participants366 Participants22 Participants122 Participants35 Participants
Sex: Female, Male
Male
98 Participants246 Participants39 Participants65 Participants44 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 790 / 2850 / 610 / 187
other
Total, other adverse events
0 / 790 / 2850 / 610 / 187
serious
Total, serious adverse events
0 / 790 / 2850 / 610 / 187

Outcome results

Primary

Proportion of Contacts Accepting HIV Testing

To test the hypothesis that a norming intervention can increase test uptake, the investigators will compare testing uptake among the intervention households and control households using cluster-adjusted chi-squared tests of proportion and by fitting mixed effects logistic regression models with two levels (household, contact). The effect of the intervention will then be evaluated by comparing adjusted slope differences in the primary outcomes (test uptake) between the intervention and the control arms, using random intercept mixed logit models to account for clustering by household.

Time frame: up to 8 weeks

Population: Household Contacts

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Social Support: Household ContactsProportion of Contacts Accepting HIV Testing279 Participants
Standard of Care: Household ContactsProportion of Contacts Accepting HIV Testing172 Participants
p-value: 0.00495% CI: [1.6, 12.9]Mixed Models Analysis
p-value: 0.00695% CI: [2, 10]t-test, 2 sided
Secondary

Change in Effects of Perceived HIV Stigma on HIV Test Uptake

The investigators will conduct a causal mediation analysis to determine the degree to which the effects of the intervention on HIV stigma explain the improvement in HIV test uptake using observed-variable structural equation modeling. HIV stigma will be measured using the Van Rie paired HIV-TB Stigma Scales (adapted for use in Uganda) and standardized scores (0 to 100) will be utilized. Higher score represents higher levels of perceived stigma.

Time frame: Baseline to Immediately post intervention (up to 8 hours)

Population: Household Contacts

ArmMeasureValue (MEAN)Dispersion
Social Support: Household ContactsChange in Effects of Perceived HIV Stigma on HIV Test Uptake2.59 units on a scaleStandard Deviation 24.75
Standard of Care: Household ContactsChange in Effects of Perceived HIV Stigma on HIV Test Uptake-0.17 units on a scaleStandard Deviation 20.09
p-value: 0.0395% CI: [0.00007, 0.00167]Structural Equation Modeling
Secondary

Change in Effects of Perceived TB Stigma on HIV Test Uptake

The investigators will conduct a causal mediation analysis to determine the degree to which the effects of the intervention on TB stigma explain the improvement in HIV test uptake using observed-variable structural equation modeling. TB stigma will be measured using the Van Rie paired HIV-TB Stigma Scales (adapted for use in Uganda) and standardized scores (0 to 100) will be utilized. Higher score represents higher levels of perceived stigma.

Time frame: Baseline to End of Interview (Up to 8 hours)

Population: Household Contacts

ArmMeasureValue (MEAN)Dispersion
Social Support: Household ContactsChange in Effects of Perceived TB Stigma on HIV Test Uptake-0.46 units on a scaleStandard Deviation 21.12
Standard of Care: Household ContactsChange in Effects of Perceived TB Stigma on HIV Test Uptake-2.34 units on a scaleStandard Deviation 16.82
p-value: 0.6495% CI: [-0.0007, 0.0011]Structural Equation Modeling
Secondary

Change in Score of Perceived HIV Stigma

Change in HIV Stigma will be evaluated by measuring the change in HIV-TB stigma as measured by the Van Rie paired HIV-TB Stigma Scales (adapted for use in Uganda) using multilevel models. The investigators will use mixed effects Poisson regression models to evaluate changes in HIV stigma measured after the household visit among a two-stage,stratified random sample of participants. Van Rie Perceived TB and HIV Stigma scales adapted and validated in the Ugandan context are used. Scores range from 0 to 100 (standardized scale). Higher values represent higher levels of perceived stigma. The timeframe has been updated to reflect changes in follow up due to COVID-19 restrictions.

Time frame: Baseline to End of Interview (Up to 8 hours)

Population: Household Contacts

ArmMeasureValue (MEAN)Dispersion
Social Support: Household ContactsChange in Score of Perceived HIV Stigma2.57 score on a scaleStandard Deviation 24.9
Standard of Care: Household ContactsChange in Score of Perceived HIV Stigma-0.21 score on a scaleStandard Deviation 18.6
Comparison: Van Rie Perceived TB and HIV Stigma scales adapted and validated in the Ugandan context are used. Scores range from 0 to 100 (standardized scale)p-value: 0.35895% CI: [-2.5, 6.9]Mixed Models Analysis
Secondary

Change in Score of Perceived TB Stigma

Change in TB Stigma will be evaluated by measuring the change in perceived TB stigma as measured by the Van Rie paired HIV-TB Stigma Scales (adapted for use in Uganda) using multilevel models. The investigators will use mixed effects Poisson regression models to evaluate changes in TB stigma measured after the household visit among a two-stage,stratified random sample of participants. Van Rie Perceived TB and HIV Stigma scales adapted and validated in the Ugandan context are used. Scores range from 0 to 100 (standardized scale). Higher values represent higher levels of perceived stigma. The timeframe has been updated to reflect changes in follow up due to COVID-19 restrictions.

Time frame: Baseline to End of Interview (Up to 8 hours)

Population: Household Contacts

ArmMeasureValue (MEAN)Dispersion
Social Support: Household ContactsChange in Score of Perceived TB Stigma0.47 score on a scaleStandard Deviation 20.8
Standard of Care: Household ContactsChange in Score of Perceived TB Stigma-2.52 score on a scaleStandard Deviation 17.8
p-value: 0.19995% CI: [-1.38, 6.59]Mixed Models Analysis
Secondary

Number of Social Support Household Contacts Deciding to Test for HIV

The investigators will estimate in the intervention arm the effect of first testers' decision to disclose on subsequent testers' decisions to test in the intervention arm using a logistic regression model. This will be assessed with relative risk of first testers' decision to disclose testing decision on subsequent household members decision to test for HIV.

Time frame: up to 8 weeks

Population: Household Contacts

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Social Support: Household ContactsNumber of Social Support Household Contacts Deciding to Test for HIV196 Participants
p-value: 0.26495% CI: [0.86, 1.76]Regression, Logistic
Secondary

Proportion of Index Patient Nominated Household Members Who Accept HIV Test

The investigators will measure the proportion of testing preference predictions made by the index patient about their household contacts that were accurate, that is, the proportion of household members who accepted the HIV test among those nominated by the index patient as being most likely to accept the HIV test. The proportion of first testers who accepted the HIV test in the intervention arm will be compared to the proportion of first testers who took the HIV test in the control arm.

Time frame: up to 8 weeks

Population: Household Contacts

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Social Support: Household ContactsProportion of Index Patient Nominated Household Members Who Accept HIV Test58 Participants
Standard of Care: Household ContactsProportion of Index Patient Nominated Household Members Who Accept HIV Test33 Participants
p-value: 0.452Chi-squared
Other Pre-specified

Count of Social Influence Nominations (Participants) by the Index Patient That Align With Nominations by the Household Contacts

The investigators will assess the concordance of index patients' perceptions of their household contacts' influence on health decisions within the household with the perceptions of the rest of their household. To do so, the investigators will measure the number of participants that provide social influence nominations that align with nominations by the household contacts in the intervention arm.

Time frame: up to 8 weeks

Population: Only includes contacts who provided a nomination for social influence within the household (subset of all household contacts)

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Social Support: Household ContactsCount of Social Influence Nominations (Participants) by the Index Patient That Align With Nominations by the Household Contacts148 Participants
Standard of Care: Household ContactsCount of Social Influence Nominations (Participants) by the Index Patient That Align With Nominations by the Household Contacts59 Participants
p-value: <0.001Chi-squared

Source: ClinicalTrials.gov · Data processed: Feb 12, 2026