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Parasite-based Diagnosis for Malaria in Uganda: Feasibility and Cost-Effectiveness

M

Makerere University

Status

Unknown

Conditions

Fever
Malaria

Treatments

Device: Field microscopy and Paracheck Pf®

Study type

Interventional

Funder types

Other

Identifiers

NCT00565071
2006/HD20/4758U

Details and patient eligibility

About

The purpose of this study is to compare the cost-effectiveness of treating malaria based on three methods of diagnosis (rapid test, microscopy and presumptive diagnosis) among patients attending level three government health centres located in areas of low and high transmission intensities in Uganda. The study hypotheses are: in both low and high transmission areas, cost-effectiveness of malaria treatment with Artemether-Lumefantrine will be improved by the adoption of rapid diagnostic tests when compared with presumptive diagnosis or microscopy; and the difference between the cost-effectiveness of Artemether-Lumefantrine treatment following rapid diagnostic test or microscopy versus presumptive diagnosis will be greatest in low transmission areas.

Full description

The development of drug resistance in malaria parasites lead the Uganda Ministry of Health (MoH) to change the first-line anti-malarial treatment from the cheap Chloroquine/Sulfadoxine-Pyrimethamine combination to a more expensive Artemether-Lumefantrine. The MoH recommends treatment of all fever cases as malaria within 24 hours of illness with first-line drug. Under this policy, patients who do not have malaria but present with febrile illness will receive Coartem® resulting in significant drug wastage. With the increased cost of first-line drugs, this wastage places a substantial and potentially remediable burden on the health budget. As such, there is a need to gauge whether more accurate malaria diagnosis through microscopy and/or rapid diagnostic tests, might improve the cost-effectiveness of the new treatment regimes.

Specific objectives

  1. To assess the feasibility of rapid test and microscopy in diagnosis of malaria at health centre III.
  2. To compare the cost-effectiveness of treating malaria with Artemether- Lumefantrine based on microscopy, rapid test and presumptive diagnosis in different transmission intensities
  3. To assess whether introduction of malaria parasite-based diagnosis (rapid test or microscopy) at government Health Centre III improves the overall cost-effectiveness of outpatient management of febrile illness

Sample size determination The sample size was determined using standard formula. Estimating the sensitivity of either test to be 90%, Zα =1.96 and after stratifying for age (<5 years and ≥5 years), the calculated sample is 272 per health centre. Therefore, the total number of patients for 6 health centres in two districts = 6 x 272 = 1632.

Baseline: Baseline data was collected on the current malaria treatment practices; clinicians' view of malaria diagnosis; concerns towards the new treatment; and health centre staffing. Geographical locations of all visited government health centres was recorded using Germin etrex global positioning system (Germin International Inc., Olathe, USA). At six selected health centres, social and demographic data was collected from 613 patients.

Implementation of intervention: The main intervention is comprised of three malaria diagnostic approaches: presumptive diagnosis, field microscopy and rapid test (Paracheck Pf® device - Orchid Biomedical Systems, Goa, India). Each of these approaches was randomly allocated to a health centre. The first-line drug used is Artemether/Lumefantrine (20mg/120mg) (Novartis, Switzerland).

Consenting subjects are consecutively enrolled at the point when the attending clinician suspects that they have uncomplicated malaria. Where microscopy is the main diagnostic method, thick and thin blood smears are prepared per patient enrolled. Where rapid test is the main method, all patients are tested. One hundred patients per health centre are randomly selected to provide blood specimens for validation using expert microscopy and PCR as "gold standard." After enrolment, patients are systematically tracked until departure from the health centre. Patients are followed up on the seventh day of treatment to assess their clinical improvement. Those who fail to return on the scheduled date are traced from their homes on the eighth day.

Follow-up activities include: documentation of drugs prescribed and or dispensed; clinically assess the patient's status in comparison to Day 0; perform further tests including PCR if the patient does not show improvement; pill counting of drugs remaining - if the patient has not completed the dose; documentation of reasons for not completing dose; and documentation if the patient bought the prescribed drugs that were out of stock on Day 0.

Effectiveness is measured as the number of patients commencing treatment with Artemether/Lumefantrine. However, patients are followed up and effectiveness also measured on the 7th day of treatment indicated by their clinical improvement. The feasibility of the diagnostic methods is ongoing from the March 2010 to date.

Enrollment

102,087 estimated patients

Sex

All

Ages

3+ months old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Suspected uncomplicated malaria infection
  • Consent to participate

Exclusion criteria

  • Pregnancy (policy recommends quinine for treatment of malaria in pregnancy)

Trial design

Primary purpose

Diagnostic

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

102,087 participants in 3 patient groups

Field microscopy
Other group
Description:
Field microscopy is the main method of malaria diagnosis
Treatment:
Device: Field microscopy and Paracheck Pf®
Paracheck Pf® device
Other group
Description:
Paracheck Pf® device (Rapid Diagnostic Test) is the main method for malaria diagnosis
Treatment:
Device: Field microscopy and Paracheck Pf®
Presumptive diagnostic method
No Intervention group

Trial contacts and locations

1

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Central trial contact

Vincent K. Batwala, MPH; Fred Nuwaha, MD, PhD

Data sourced from clinicaltrials.gov

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