HIV Infections Clinical Trial
— ADDOOfficial title:
AmbassADDOrs for Health: Supporting Young Women's Health Through Girl-friendly Drug Vendors
The goal of the study is to evaluate Malkia Klabu ("Queen Club") in Tanzania, a loyalty program intervention that creates adolescent girls and young women (AGYW)-friendly drug shops where AGYW can access HIV prevention services and contraception.
Status | Recruiting |
Enrollment | 140 |
Est. completion date | December 31, 2025 |
Est. primary completion date | December 31, 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | The primary unit of analysis are the wards, and within them, the drug shops who will be enrolled based on the following inclusion criteria: Inclusion Criteria: - Wards with no greater than 3 public health facilities; - Wards with no less than 4 drug shops; - Wards with health facilities that were greater than 20 KM from a primary or secondary road; and - Drug shop owners and staff in Shinyanga and Mwanza Regions of Tanzania who are aged 18 or older; |
Country | Name | City | State |
---|---|---|---|
Tanzania | Mwanza Province | Mwanza | |
Tanzania | Shinyanga Province | Shinyanga |
Lead Sponsor | Collaborator |
---|---|
University of California, San Francisco | Health for a Prosperous Nation, National Institute of Mental Health (NIMH), RTI International, University of California, Berkeley |
Tanzania,
Corroon M, Kebede E, Spektor G, Speizer I. Key Role of Drug Shops and Pharmacies for Family Planning in Urban Nigeria and Kenya. Glob Health Sci Pract. 2016 Dec 28;4(4):594-609. doi: 10.9745/GHSP-D-16-00197. Print 2016 Dec 23. — View Citation
Hunter LA, McCoy SI, Rao A, Mnyippembe A, Hassan K, Njau P, Mfaume R, Liu JX. Designing drug shops for young women in Tanzania: applying human-centred design to facilitate access to HIV self-testing and contraception. Health Policy Plan. 2021 Nov 11;36(10):1562-1573. doi: 10.1093/heapol/czab084. — View Citation
Liu J, Prach LM, Treleaven E, Hansen M, Anyanti J, Jagha T, Seaman V, Ajumobi O, Isiguzo C. The role of drug vendors in improving basic health-care services in Nigeria. Bull World Health Organ. 2016 Apr 1;94(4):267-75. doi: 10.2471/BLT.15.154666. Epub 2016 Feb 3. — View Citation
Peters DH, Mirchandani GG, Hansen PM. Strategies for engaging the private sector in sexual and reproductive health: how effective are they? Health Policy Plan. 2004 Oct;19 Suppl 1:i5-i21. doi: 10.1093/heapol/czh041. — View Citation
Rutta E, Liana J, Embrey M, Johnson K, Kimatta S, Valimba R, Lieber R, Shekalaghe E, Sillo H. Accrediting retail drug shops to strengthen Tanzania's public health system: an ADDO case study. J Pharm Policy Pract. 2015 Sep 25;8:23. doi: 10.1186/s40545-015-0044-4. eCollection 2015. Erratum In: J Pharm Policy Pract. 2015;8:29. — View Citation
Sieverding M, Schatzkin E, Shen J, Liu J. Bias in Contraceptive Provision to Young Women Among Private Health Care Providers in South West Nigeria. Int Perspect Sex Reprod Health. 2018 Mar 1;44(1):19-29. doi: 10.1363/44e5418. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Cumulative HIV diagnoses among 15-24 year old females | Cumulative HIV-positive tests among 15-24 year old females at 24 months from routinely collected health facility data, disaggregated by sex and age, aggregated to the catchment area level. | 24 months | |
Primary | Antenatal care registrations by 15-24 year old females | Cumulative antenatal care registrations among 15-24 year old females at 24 months from routinely collected health facility data, disaggregated by age, aggregated to the catchment area level. | 24 months | |
Secondary | ART initiation among newly diagnosed AGYW | Data on ART initiation abstracted from routinely collected health facility data, disaggregated by sex and age, aggregated to the catchment area level. | 24 months | |
Secondary | Distribution of HIVST to AGYW | Distribution of HIVST to AGYW will be documented in Maisha Meds, a point of sales inventory system to be used by participating drug shops in both arms. This will be a continuous variable with a lower limit of zero and an undefined upper limit and is the simple count of all HIVSTs distributed to AGYW who visit the shops. | 24 months | |
Secondary | Distribution contraception to AGYW | Distribution of contraception to AGYW will be documented in Maisha Meds, a point of sales inventory system to be used by participating drug shops in both arms. This will be a continuous variable with a lower limit of zero and an undefined upper limit and is the simple count of the combined total number of oral contraceptive pills, emergency contraception, and condoms sold to AGYW who visit the shops. | 24 months | |
Secondary | Program exposure | Self-reported data from AGYW on exposure to Malkia Klabu (if any) will be collected during an endline survey. This will be a proportion defined as the number of AGYW who report ever receiving a Malkia Klabu card (i.e. enrolling) as the numerator over the total number of AGYW interviewed. The values will range from 0-100%. | 24 months | |
Secondary | Recent HIV testing | Self-reported data from AGYW on recent HIV testing (if any) will be collected during an endline survey. This will be a proportion defined as the number of AGYW who report testing for HIV in the last 6 months as the numerator over the total number of AGYW interviewed. The values will range from 0-100%. | 24 months | |
Secondary | Recent pregnancy testing | Self-reported data from AGYW on recent pregnancy testing (if any) will be collected during an endline survey. This will be a proportion defined as the number of AGYW who report taking a pregnancy test in the last 6 months as the numerator over the total number of AGYW interviewed. The values will range from 0-100%. | 24 months | |
Secondary | Unmet need for contraception | Self-reported data from AGYW on contraceptive preferences, desires, and use (if any) will be collected during an endline survey. Unmet need is defined as the number of women who do not want to get pregnant but are not using a method of birth control and are sexually active. We will use the collected data to create a variable where the numerator is the number of women not using a method of birth control and do not desire to get pregnant over the total number of sexually active women. | 24 months |
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