Malaria Diagnostic Testing and Conditional Subsidies to Target ACTs in the Retail Sector: TESTsmART Aim 2 - Kenya

NCT ID: NCT04428307

Last Updated: 2024-02-20

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

View full results

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

5696 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-01-11

Study Completion Date

2022-08-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Highly subsidized first-line antimalarials (artemisinin combination therapy or ACT) are available over the counter in the private retail sector in most malaria-endemic countries. Overconsumption of ACTs purchased over the counter is rampant due to their low price, high perceived efficacy, and absence of diagnostic tools to guide drug use. The ultimate goal of the proposed work is to improve antimalarial stewardship in the retail sector, which is responsible for distributing the majority of antimalarials in sub-Saharan Africa. Through a combination of diagnosis and treatment subsidies and provider-directed incentives, this approach will align provider and customer incentives with appropriate case management and thereby improve health outcomes.

The main objective of this study (Aim 2) is to test two key interventions in a random sample of private medicine retail outlets in Kenya. This will be a cluster-randomized controlled trial where the cluster is a private retail outlet that stocks and sells WHO quality-assured ACTs. This three-arm study will test 1) a consumer-directed intervention in the form of a diagnosis-dependent ACT subsidy, 2) both a provider-directed incentive for testing and a client-directed intervention in combination against 3) a comparison arm. Outlets in all three arms will offer malaria diagnostic testing to customers who wish to purchase one. Information for the primary and secondary outcomes will be collected during exit interviews with eligible customers. The primary outcome will be the proportion of ACTs sold to customers with a positive diagnostic test. The main secondary outcome will be the proportion of suspected malaria cases presenting to the retail outlet that are tested. Other secondary outcomes include adherence to the RDT result amongst those tested (defined as taking a quality-assured ACT following a positive test and refraining from taking an ACT following a negative test) and appropriate case management for all suspected malaria cases (proportion tested and adhered among all suspected cases).

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

RATIONALE:

The investigators hypothesize that decision-making in the retail sector is influenced primarily by price (or profit) supplemented by individual beliefs or preferences. Information from a diagnostic test, when available, plays only a minor role in the decision-making landscape. In response to this, the investigators propose to test a scalable, policy-relevant strategy that integrates testing and treatment subsidies and makes ACT subsidies available only to customers with a positive malaria test. Differential pricing based on the results of the diagnostic test will align consumer and provider incentives (price and profit) with testing and appropriate ACT use. This approach will also ensure that public subsidies are directed at confirmed malaria cases thereby enhancing the sustainability of such programs. By allocating subsidy dollars across both testing and conditional treatment (rather than universal, treatment-only subsidies), the investigators can reduce the cost of subsidizing malaria treatment and improve targeting of ACTs without compromising access.

OBJECTIVES:

This goal of the proposed work is to improve antimalarial stewardship in the retail sector, which has the largest market share of antimalarials in sub-Saharan Africa. In this study (Aim 2) the investigators will use a cluster randomized controlled trial to measure the impact of two innovative interventions - a provider-directed incentive for offering malaria rapid diagnostic tests to suspected malaria cases and a consumer-directed diagnosis dependent ACT subsidy (conditional ACT subsidy). The unit of randomization will be the private medicine outlet (cluster).

STUDY DESIGN:

The study will be a cluster-randomized controlled trial with three arms. The original study design was for a four-arm trial (an additional arm that would have tested the provider-directed incentive alone), however preliminary data from the study area indicated that the study may not be powered to measure the effect of a four arm study. No participants were enrolled prior to finalization of the study design, and all clusters will be randomized to one of the three remaining study arms only (1) control, 2) client-directed intervention, and 3) combined client- and provider-directed intervention). See Section 4.4 Statistical Design and Power for complete detail.

STUDY POPULATION:

The study will be conducted in Kenya, a country with high malaria burden. Kenya has the programmatic goal of universal access to prompt parasitological confirmation before treatment and have endorsed the use of malaria RDTs in the public health sector at all levels of care. However, very high rates of treatment in the retail sector undermine the explicit policy that all malaria cases should be confirmed by parasitological diagnosis. In Kenya, retail outlets currently do not conduct RDTs and emphasis has been placed on implementing community case management for malaria through public-sector community health workers (including conducting RDTs).

The specific study site will be western Kenya (Bungoma County and Trans Nzoia county).

STUDY PROCEDURES:

A complete sampling frame of eligible retail outlets will be made for the site. Outlets will be eligible if they regularly carry quality-assured, subsidized ACTs. Attendants who dispense medicines at each outlet will be trained to correctly and safely perform RDTs. They will receive an initial small start-up stock of RDTs and will be given contact information for RDT wholesalers who can provide replenishment stocks on demand. In addition, all attendants will be trained to use a mobile reporting app that captures basic information about suspected malaria cases. This app will not be used to assess outcomes, but will be an important monitoring tool and serve as the conduit for all payments according to the arm assignment.

Following training, shops will be randomized to one of the three arms:

* Arm 1 (control): RDTs available at study-recommended price, providers trained on mobile app
* Arm 2 (client-directed intervention): ACT subsidy to client conditional on positive RDT, RDTs available at study-recommended price
* Arm 3 (client-directed and provider-directed intervention): providers are reimbursed for each RDT and consumers with a positive test are eligible for a subsidy on a quality-assured ACT. RDTs are available at study recommended price.

Customers who come to a participating outlet in any arm with fever or suspected malaria are eligible for an RDT at the study-recommended price and, in arms 2 and 3, a conditional ACT subsidy when the RDT is positive. Attendants will be trained to recognize danger signs and refer those individuals to a health facility for immediate care. Customers purchasing medicine on someone's behalf or those who have already had a malaria test will not be eligible for RDT testing or conditional subsidies.

Study outcome measures will be collected by interviewing a random sample of customers leaving participating shops (exit interviews). A team of field interviewers will be trained in each site and will be assigned to participating outlets on random days in a month. Both the day of the month and the interviewer assigned to the specific outlet will be randomized in order to balance data collection across interviewers and arms and to minimize the observer effect. Each outlet will be visited thrice in a month and the interviewer will enroll eligible participants in succession until they have completed 3-4 interviews. Ten customers per month per outlet are needed to reach a sample size of 170 interviews per outlet in 15 months of data collection. Exit interviews will capture information about customer demographics, symptoms of their current illness, whether they had a malaria diagnostic test at the outlet or elsewhere, how much they paid for the test, the results of the test, and the drug(s) they purchased. Customers will be eligible to participate in the exit interview if s/he was seeking drugs for him/herself or their minor child older than one year of age and the child is physically present, s/he had a febrile illness or suspected malaria, and s/he agrees to be interviewed.

Study monitoring will be continuous throughout the study period using the mobile app. Study staff will regularly review reporting data captured by the mobile app. In particular, pictures of RDTs will be reviewed alongside results reported by outlet attendants to ensure correct use and interpretation of the RDTs. In addition, exit interviews will be summarized monthly by outlet and compared to the data submitted via the app. This monitoring step will allow us to identify major discrepancies between actions reported by the shop and those reported by the customers such as testing rates, RDT positivity rates, dispensing of qualified ACTs and prices charged for RDTs and ACTs.

SAMPLE SIZE AND POWER:

The investigators calculated power based on a cluster randomized two-sample two-tailed t-test for the comparison of two proportions. The investigators calculated power for differences in the primary outcome for each of the two comparisons of interest noted above. With a sample of 170 exit interviews per outlet (40 outlets in Kenya), the investigators will have \>90% power to detect a minimum difference between Arms 1 (control) and 3 (combined interventions) in the primary outcome of 16 percentage points. The investigators will also have \>80% power to detect a minimum difference of 11 percentage points for the main secondary comparison of interest (testing uptake).

The sample size estimates correspond to a total of 6800 exit interviews with clients in Kenya. Since not everyone interviewed will have purchased an ACT, estimates account for the fact that only a subset will enter into the analysis for the primary outcome. The investigators will have a team of 8 data collectors and each data collector will conduct approximately 50-60 interviews per month. Exit interviews should take 15 months to complete.

See Section 4.4 Statistical Design and Power for comprehensive description of sample size, power and statistical analysis.

SUBJECT CONFIDENTIALITY:

Customers leaving the shop will be approached by the field interviewer to ask if they are interested in participating in a short interview. If they agree, then they will be taken to a private area and the study will be explained to them. Once they provide consent, the interviewer will record the details of their illness and treatment at the outlet. No participant identifiers will be recorded in the electronic data collection form. This limits the possibility of identifying the source of any health information (See Protection of Human Subjects Section 3.3).

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Malaria Febrile Illness

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

three-arm parallel cluster randomized trial
Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

SINGLE

Outcome Assessors
Interviewers assessing outcomes and statisticians will be blinded to arm assignment

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Arm 1 (control)

RDTs available at study-recommended price, providers trained on mobile reporting app

Group Type NO_INTERVENTION

No interventions assigned to this group

Arm 2 (client-directed intervention)

ACT subsidy to client conditional on positive RDT, RDTs available at study-recommended price

Group Type EXPERIMENTAL

Conditional artemisinin combination therapy subsidy

Intervention Type OTHER

An additional discount on WHO-approved quality assured ACTs will be offered to individuals with a positive RDT.

Arm 3 (client-directed and provider-directed intervention)

providers receive a small payment for each RDT that they perform and consumers with a positive test are eligible for a subsidy on a quality-assured ACT, RDTs are available at study recommended price

Group Type EXPERIMENTAL

Conditional artemisinin combination therapy subsidy

Intervention Type OTHER

An additional discount on WHO-approved quality assured ACTs will be offered to individuals with a positive RDT.

Testing incentive

Intervention Type OTHER

A small incentive will be paid to the provider each time they perform a malaria rapid diagnostic test.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Conditional artemisinin combination therapy subsidy

An additional discount on WHO-approved quality assured ACTs will be offered to individuals with a positive RDT.

Intervention Type OTHER

Testing incentive

A small incentive will be paid to the provider each time they perform a malaria rapid diagnostic test.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Participants with fever, or history of fever in the last 48 hours, or suspects they may have malaria
* Individual with malaria-like illness must be present at recruitment
* Older than one year of age

Exclusion Criteria

* Any individual with signs of severe illness requiring immediate referral
* Individuals who have taken an antimalarial in the last seven days, including for the current illness
* Patients \<18 years without a parent or legal guardian present
Minimum Eligible Age

1 Year

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

National Institute of Allergy and Infectious Diseases (NIAID)

NIH

Sponsor Role collaborator

Moi University

OTHER

Sponsor Role collaborator

Clinton Health Access Initiative Inc.

OTHER

Sponsor Role collaborator

Duke University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Wendy P O'Meara, PhD

Role: PRINCIPAL_INVESTIGATOR

Duke University

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Moi University

Eldoret, , Kenya

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Kenya

References

Explore related publications, articles, or registry entries linked to this study.

Visser T, Laktabai J, Kimachas E, Kipkoech J, Menya D, Arthur D, Zhou Y, Chepkwony T, Abel L, Robie E, Amunga M, Ambani G, Uhomoibhi P, Ogbulafor N, Oshinowo B, Ogunsola O, Woldeghebriel M, Garber E, Olaleye T, Eze N, Nwidae L, Mudabai P, Gallis JA, Fashanu C, Saran I, Woolsey A, Turner EL, Prudhomme O'Meara W. A cluster-randomized trial of client and provider directed financial interventions to align incentives with appropriate case management in private medicine retailers: results of the TESTsmART Trial in Lagos, Nigeria. medRxiv [Preprint]. 2024 Jan 31:2024.01.30.24302026. doi: 10.1101/2024.01.30.24302026.

Reference Type DERIVED
PMID: 38352390 (View on PubMed)

Laktabai J, Kimachas E, Kipkoech J, Menya D, Arthur D, Zhou Y, Chepkwony T, Abel L, Robie E, Amunga M, Ambani G, Woldeghebriel M, Garber E, Eze N, Mudabai P, Gallis JA, Fashanu C, Saran I, Woolsey A, Visser T, Turner EL, Prudhomme O'Meara W. A cluster-randomized trial of client and provider-directed financial interventions to align incentives with appropriate case management in retail medicine outlets: Results of the TESTsmART Trial in western Kenya. PLOS Glob Public Health. 2024 Feb 7;4(2):e0002451. doi: 10.1371/journal.pgph.0002451. eCollection 2024.

Reference Type DERIVED
PMID: 38324584 (View on PubMed)

Woolsey AM, Simmons RA, Woldeghebriel M, Zhou Y, Ogunsola O, Laing S, Olaleye T, Kipkoech J, Rojas BM, Saran I, Odhiambo M, Malinga J, Ambani G, Kimachas E, Fashanu C, Wiwa O, Menya D, Laktabai J, Visser T, Turner EL, O'Meara WP. Incentivizing appropriate malaria case management in the private sector: a study protocol for two linked cluster randomized controlled trials to evaluate provider- and client-focused interventions in western Kenya and Lagos, Nigeria. Implement Sci. 2021 Jan 20;16(1):14. doi: 10.1186/s13012-020-01077-w.

Reference Type DERIVED
PMID: 33472650 (View on PubMed)

Provided Documents

Download supplemental materials such as informed consent forms, study protocols, or participant manuals.

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

5R01AI141444-02

Identifier Type: NIH

Identifier Source: secondary_id

View Link

Pro00104256

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

PDMC Implementation Trial in Kenya
NCT06624631 RECRUITING PHASE4