Malaria Clinical Trial
Official title:
Phase III, Open-label, Community-based, Cluster Randomised Controlled Trial to Evaluate the Efficacy, Cost-effectiveness, and Acceptability of Attractive Targeted Sugar Baits (ATSB) for Malaria Burden Reduction in Western Kenya
NCT number | NCT05219565 |
Other study ID # | 21-027 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | March 7, 2022 |
Est. completion date | April 24, 2024 |
Verified date | August 2023 |
Source | Liverpool School of Tropical Medicine |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The effectiveness of long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) in western Kenya are threatened by insecticide resistance and vector behaviour changes toward early evening and outdoor biting malaria vectors. New tools to control malaria are needed to reduce and even interrupt malaria transmission. Attractive Targeted Sugar Bait (ATSB) is a promising new intervention designed to attract and kill mosquitoes, including those that IRS and LLINs do not effectively target. The ATSB 'bait stations' are A4-sized panels containing thickened fruit syrup laced with a neonicotinoid insecticide, dinotefuran, to attract and kill the foraging vectors. Entomological field trials in western Mali showed that ATSBs successfully reduce mosquito densities and longevity and thus have the potential to reduce malaria transmission. In Kenya, the investigators will conduct an open-label cluster-randomized controlled trial in 80 village clusters (40 per arm) to evaluate the effect of ATSBs on the burden of malaria. During two years, households in half of these village clusters will receive two or three ATSB bait stations per household structure on exterior walls approximately 1.8 meters above the ground. ATSBs will be replaced every six months. The primary outcome will be the incidence of clinical malaria in children aged 1-<15 years enrolled in a prospective cohort followed monthly for about six months each during a 2-year period. Secondary outcomes include malaria infection prevalence assessed by rapid diagnostic tests through household surveys and the case burden of clinical malaria assessed by passive facility-based and community-based surveillance. The study includes entomological monitoring and nested acceptability, feasibility, and health economics studies. The stand-alone trial in western Kenya is a part of a multi-country ATSB consortium conducting similar trials in Zambia and Mali.
Status | Completed |
Enrollment | 2962 |
Est. completion date | April 24, 2024 |
Est. primary completion date | March 21, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 1 Year and older |
Eligibility | Eligibility criteria for clusters: Inclusion criteria - A grouping of contiguous rural villages in Alego-Usonga and Rarieda sub-counties of Siaya County - A minimum of 200 households Eligibility criteria for clusters: Exclusion criteria - Hard to reach in the rainy season - Refusal to participate by village elders Eligibility criteria for participants in the cohort study: Inclusion criteria - A resident of a household within the core area of a study cluster, defined as living in the household in the recent four months and planning to live in the same household for the next 6.5 months - Aged = 1 year and < 15 years at the time of enrollment - Written informed consent and/or assent Eligibility criteria for participants in the cohort study: Exclusion criteria - A confirmed or suspected pregnancy. Pregnant women are excluded because they are eligible for intermittent preventive treatment of malaria in pregnancy (IPTp). - Taking daily cotrimoxazole prophylaxis (because this has antimalarial effects) - Known sickle cell disease (because they received antimalarial prophylaxis) - Contraindication to artemether-lumefantrine, the medication used for parasite clearance Eligibility criteria for households for ATSB deployment: Inclusion criteria --Households located within one of the 40 clusters (core or buffer area) randomly allocated to the trial intervention arm with a least one permanent resident Eligibility criteria for households for ATSB deployment: Exclusion criteria - Refusal of consent by the head-of-household to deploy ATSB on the outer walls (intervention villages only) - Vacated compounds Eligibility criteria for households for entomological monitoring: Inclusion criteria - Household located within the core area of the cluster - Head of household or his/her representative is at least 18 years of age - Written informed consent for the collection of entomological data by the head of household or representative Eligibility criteria for households for entomological monitoring: Exclusion criteria --No residents sleeping in the household during the planned night of monitoring Eligibility criteria for human landing catches: Inclusion criteria - Men aged 18 to 49 years - Willingness and ability to work late at night for up to 7 hours at a time - Willingness to take and tolerate a treatment regimen of the appropriate Kenya Ministry of Health (MoH) recommended antimalarial and chemoprophylaxis with 250 mg of mefloquine weekly to prevent malaria starting two weeks before the start of and until four weeks after completing HLCs - Written informed consent Eligibility criteria for human landing catches: Exclusion criteria - Refusal/inability to work late at night for up to 7 hours at a time - Unwillingness to take or intolerance/allergy to appropriate MoH treatment regimen or chemoprophylaxis Eligibility criteria for participants in rapid ethnographic methods evaluation (community members): Inclusion criteria - A resident of a household within an intervention area defined as an ATSB area during the main trial or an ASB area during any preliminary studies - Resides in a household at the time of ASB/ATSB deployment, where the ASB/ATSB was installed for at least one month. - 18 years of age or older if participating in focus group discussions; 15 years of age or older if participating in in-depth interviews Eligibility criteria for participants in rapid ethnographic methods evaluation (community members): Exclusion criteria --Unable to provide consent Eligibility criteria for participants in rapid ethnographic methods evaluation (ATSB monitoring assistants): Inclusion criteria - Inclusion criteria ethnographic evaluation (ATSB monitoring assistants) - Serving as an ATSB monitoring assistant with experience installing ATSBs and monitoring the deployment Eighteen years of age or older Eligibility criteria for participants in rapid ethnographic methods evaluation (ATSB monitoring assistants): Exclusion criteria - Less than one month experience (i.e. is new to the job) - Unable to provide consent |
Country | Name | City | State |
---|---|---|---|
Kenya | Benga Dispensary | Siaya | Siaya County |
Kenya | Boro Dispensary | Siaya | Siaya County |
Kenya | Manyuanda Health Centre | Siaya | Siaya County |
Kenya | Naya Health Centre | Siaya | Siaya County |
Kenya | Nyadhi Dispensary | Siaya | Siaya County |
Kenya | Ong'ielo Model Health Centre | Siaya | Siaya County |
Kenya | Rabar Dispensary | Siaya | Siaya County |
Kenya | Rageng'ni Dispensary | Siaya | Siaya County |
Kenya | Rambugu Dispensary | Siaya | Siaya County |
Lead Sponsor | Collaborator |
---|---|
Liverpool School of Tropical Medicine | Centers for Disease Control and Prevention, Kenya Medical Research Institute, Kenya Ministry of Health, PATH |
Kenya,
Amek N, Bayoh N, Hamel M, Lindblade KA, Gimnig JE, Odhiambo F, Laserson KF, Slutsker L, Smith T, Vounatsou P. Spatial and temporal dynamics of malaria transmission in rural Western Kenya. Parasit Vectors. 2012 Apr 28;5:86. doi: 10.1186/1756-3305-5-86. — View Citation
Beier JC, Muller GC, Gu W, Arheart KL, Schlein Y. Attractive toxic sugar bait (ATSB) methods decimate populations of Anopheles malaria vectors in arid environments regardless of the local availability of favoured sugar-source blossoms. Malar J. 2012 Feb 1;11:31. doi: 10.1186/1475-2875-11-31. — View Citation
Fiorenzano JM, Koehler PG, Xue RD. Attractive Toxic Sugar Bait (ATSB) For Control of Mosquitoes and Its Impact on Non-Target Organisms: A Review. Int J Environ Res Public Health. 2017 Apr 10;14(4):398. doi: 10.3390/ijerph14040398. — View Citation
Gimnig JE, Walker ED, Otieno P, Kosgei J, Olang G, Ombok M, Williamson J, Marwanga D, Abong'o D, Desai M, Kariuki S, Hamel MJ, Lobo NF, Vulule J, Bayoh MN. Incidence of malaria among mosquito collectors conducting human landing catches in western Kenya. Am J Trop Med Hyg. 2013 Feb;88(2):301-8. doi: 10.4269/ajtmh.2012.12-0209. Epub 2012 Dec 18. — View Citation
Huho B, Briet O, Seyoum A, Sikaala C, Bayoh N, Gimnig J, Okumu F, Diallo D, Abdulla S, Smith T, Killeen G. Consistently high estimates for the proportion of human exposure to malaria vector populations occurring indoors in rural Africa. Int J Epidemiol. 2013 Feb;42(1):235-47. doi: 10.1093/ije/dys214. Epub 2013 Feb 9. — View Citation
Killeen GF, Marshall JM, Kiware SS, South AB, Tusting LS, Chaki PP, Govella NJ. Measuring, manipulating and exploiting behaviours of adult mosquitoes to optimise malaria vector control impact. BMJ Glob Health. 2017 Apr 26;2(2):e000212. doi: 10.1136/bmjgh-2016-000212. eCollection 2017. — View Citation
Killeen GF. Characterizing, controlling and eliminating residual malaria transmission. Malar J. 2014 Aug 23;13:330. doi: 10.1186/1475-2875-13-330. — View Citation
Marshall JM, White MT, Ghani AC, Schlein Y, Muller GC, Beier JC. Quantifying the mosquito's sweet tooth: modelling the effectiveness of attractive toxic sugar baits (ATSB) for malaria vector control. Malar J. 2013 Aug 23;12:291. doi: 10.1186/1475-2875-12-291. — View Citation
Moiroux N, Damien GB, Egrot M, Djenontin A, Chandre F, Corbel V, Killeen GF, Pennetier C. Human exposure to early morning Anopheles funestus biting behavior and personal protection provided by long-lasting insecticidal nets. PLoS One. 2014 Aug 12;9(8):e104967. doi: 10.1371/journal.pone.0104967. eCollection 2014. — View Citation
Pocock SJ. When (not) to stop a clinical trial for benefit. JAMA. 2005 Nov 2;294(17):2228-30. doi: 10.1001/jama.294.17.2228. No abstract available. — View Citation
Protopopoff N, Mosha JF, Lukole E, Charlwood JD, Wright A, Mwalimu CD, Manjurano A, Mosha FW, Kisinza W, Kleinschmidt I, Rowland M. Effectiveness of a long-lasting piperonyl butoxide-treated insecticidal net and indoor residual spray interventions, separately and together, against malaria transmitted by pyrethroid-resistant mosquitoes: a cluster, randomised controlled, two-by-two factorial design trial. Lancet. 2018 Apr 21;391(10130):1577-1588. doi: 10.1016/S0140-6736(18)30427-6. Epub 2018 Apr 11. — View Citation
Sougoufara S, Diedhiou SM, Doucoure S, Diagne N, Sembene PM, Harry M, Trape JF, Sokhna C, Ndiath MO. Biting by Anopheles funestus in broad daylight after use of long-lasting insecticidal nets: a new challenge to malaria elimination. Malar J. 2014 Mar 28;13:125. doi: 10.1186/1475-2875-13-125. — View Citation
Traore MM, Junnila A, Traore SF, Doumbia S, Revay EE, Kravchenko VD, Schlein Y, Arheart KL, Gergely P, Xue RD, Hausmann A, Beck R, Prozorov A, Diarra RA, Kone AS, Majambere S, Bradley J, Vontas J, Beier JC, Muller GC. Large-scale field trial of attractive toxic sugar baits (ATSB) for the control of malaria vector mosquitoes in Mali, West Africa. Malar J. 2020 Feb 14;19(1):72. doi: 10.1186/s12936-020-3132-0. — View Citation
Zhu L, Muller GC, Marshall JM, Arheart KL, Qualls WA, Hlaing WM, Schlein Y, Traore SF, Doumbia S, Beier JC. Is outdoor vector control needed for malaria elimination? An individual-based modelling study. Malar J. 2017 Jul 3;16(1):266. doi: 10.1186/s12936-017-1920-y. — View Citation
* Note: There are 14 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Clinical malaria | The incidence rate of clinical malaria defined as current fever (axillary temperature of =37.5°C) or history of fever in last 48 hours and a positive rapid diagnostic test (RDT, pLDH or HRP2), in children aged 1-<15 years enrolled in the cohort study | Two years | |
Secondary | Time to first malaria infection by PCR | The time to first malaria infection assessed by PCR in children aged 1-<15 years enrolled in a cohort study | Two years | |
Secondary | Malaria infection incidence by RDT (pLDH) | The incidence rate of malaria infection detected by RDT (pLDH) in children aged 1-<15 years enrolled in a cohort study | Two years | |
Secondary | Malaria infection prevalence by RDT (pLDH) | The prevalence of malaria infection detected by RDT (pLDH) in cross-sectional household surveys | Two years | |
Secondary | Incidence of malaria illness (passive surveillance) | The incidence rate of malaria illness (sick-visit with a positive malaria rapid diagnostic test or microscopy) assessed by health-facility and community-based surveillance | Two years | |
Secondary | Incidence of non-malaria illness (cohort) | The incidence rate of non-malaria illness in children aged 1-<15 years enrolled in a cohort study | Two years | |
Secondary | Incidence of non-malaria illness (passive surveillance) | The incidence rate of non-malaria illness assessed by health-facility and community-based surveillance | Two years | |
Secondary | Prevalence of non-malaria illness | The prevalence of non-malaria illness in cross-sectional household surveys | Two years | |
Secondary | Malaria vector density | Entomological outcome: Malaria vector densities | Two years | |
Secondary | Proportion of female anopheles mosquitoes older than three gonotrophic cycles, | Entomological outcome: The proportion of female anopheles mosquitoes older than three gonotrophic cycles. | Two years | |
Secondary | Sporozoite rate | Entomological outcomes: Sporozoite rate | Two years | |
Secondary | Entomological Inoculation Rate (EIR) | Entomological outcome: Entomological Inoculation Rate (EIR) | Two years | |
Secondary | Non-Target Organisms (NTOs) attracted to ATSBs | Entomological outcome: Proportion of monitoring visits where NTOs were observed on bait stations | Two years | |
Secondary | Markers of insecticide resistance (dinotefuran) | Entomological outcome: Proportion of mosquitoes with resistance to dinotefuran among total mosquitoes collected in 4 WHO mosquito tubes in the trial area | Two years | |
Secondary | Markers of insecticide resistance (permethrin) | Entomological outcome: Proportion of mosquitoes with resistance to permethrin among total mosquitoes collected in 4 WHO mosquito tubes in the trial area | Two years | |
Secondary | Markers of insecticide resistance (deltamethrin) | Entomological outcome: Proportion of mosquitoes with resistance to deltamethrin among total mosquitoes collected in 4 WHO mosquito tubes in the trial area | Two years | |
Secondary | Antibody concentrations against malaria antigen MSP-1 | Antibody concentration against merozoite surface protein-1 (MSP-1) among cohort participants | Two years | |
Secondary | Antibody concentrations against malaria antigen CSP | Antibody concentration against circumsporozoite proteins (CSP) among cohort participants | Two years | |
Secondary | Complexity of infection (COI) | The complexity of (malaria) infection assessed by molecular markers, including, but not limited to, 24-single-nucleotide polymorphisms (24-SNP) barcodes | Two years | |
Secondary | Mosquito salivary antigens | Presence of mosquito salivary antigens in human blood as a measure for mosquito biting rates among cohort participants | Two years | |
Secondary | AEs | Number of adverse events associated with misuse of ATSBs. | Two years | |
Secondary | ATSB removal rate | The proportion of ATSBs that have been moved/removed | Two years | |
Secondary | Perceptions of ATSBs | The proportion of household heads who perceive ATSBs as safe and effective out of all household head who consented to ATSB deployment on their household structures. | Two years | |
Secondary | Household use of LLINs in the setting of ATSBs | The proportion of children aged 1-<15 years enrolled in a cohort study who used an LLIN the night prior | Two years | |
Secondary | Household care seeking behavior in the setting of ATSBs | The proportion of children aged 1-<15 years enrolled in a cohort study who sought care for febrile illness | Two years | |
Secondary | Cost-effectiveness | Incremental cost-effectiveness of ATSB above the standard of care measured through costing of intervention and efficacy outcomes | Two years |
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