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

Summary

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Description

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...

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).

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