- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04695886
Effectiveness of a Community-delivered Integrated Malaria Elimination (CIME) Model in Myanmar
Evaluation of the Effectiveness and Cost-effectiveness of a Community-delivered Integrated Malaria Elimination (CIME) Model in Myanmar: An Open Stepped-wedge Cluster-randomised Controlled Trial
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The CIME model integrates interventions for malaria, dengue, tuberculosis, childhood diarrhoea and Rapid Diagnostic Test (RDT)-negative fever. It will involve the recruitment and training of a volunteer to implement the CIME model in each village.
The primary outcome of the trial is blood examination rate as determined by number of RDTs for malaria performed per week per village. 140 villages in 8 townships across Ayeyarwaddy, Bago and Yangon Regions and Kayah State in Myanmar will be sampled at random with probability proportional to size. Study populations include villages with ICMVs who will be re-trained as CIME volunteers (intervention phase) and the community members in the service catchment areas of those volunteers. An open stepped-wedge cluster-randomised controlled trial, randomized at the volunteer level (i.e. the volunteer and the village / workplaces they service), will be conducted over 6-months to evaluate the effectiveness and cost-effectiveness of the CIME model intervention. The stepped-wedge design will comprises 24 weekly measurements of the number of malaria blood examinations performed by each village, with villages grouped into 10 blocks of 14 villages and transitioned from control to intervention phases at bi-weekly intervals following a universal two-week control period. Differences in the per weekly rate of blood examination (primary outcome), will be estimated across intervention and control phases using a generalised linear (e.g. Poisson or negative-binomial link functions) mixed modelling analytical approach with maximum likelihood estimation.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- ADULT
- OLDER_ADULT
- CHILD
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Villages in Ayeyarwaddy, Bago and Yangon Regions and Kayah State townships in Myanmar with National Malaria Control Program (NMCP) trained Integrated Community Malaria Volunteers (ICMVs).
Exclusion Criteria:
- Townships
A township will be excluded from the study if:
- The township does not have an NMCP provided ICMV network
- The township has ongoing armed conflict
- The township does not have Vector-Borne Diseases Control (VBDC) staff or malaria focal person
- The location of the township is not geographically or politically feasible for staff from the State/Regional capital city to conduct regular supervision visits
Villages
After selection of 8 townships (2 townships from each state/region), villages in the townships will be screened against the exclusion criteria. A village will be excluded from the study if:
- The village is too remote and unable to execute the CIME model completely,
- The village has a government public health facility,
- The village has no mobile network coverage
- The village is in the ongoing armed conflict zone , or
- The village has an ICMV program operated by any organizations other than NMCP
- The village has an Annual Parasite Index (API) >=5
Study Plan
How is the study designed?
Design Details
- Primary Purpose: HEALTH_SERVICES_RESEARCH
- Allocation: RANDOMIZED
- Interventional Model: CROSSOVER
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
EXPERIMENTAL: CIME intervention
Community-delivered Integrated Malaria Elimination (CIME).
The CIME intervention model integrates interventions for malaria, dengue, tuberculosis, childhood diarrhoea and RDT-negative fever.
|
Malaria: Malaria Diagnosis using RDT, treatment, referral and reporting; Prevention interventions (Behavioral Change Communication, net and repellent distribution); assisting in case and foci investigation and larval source management. Dengue: Assisting in dengue prevention; Referral of cases. Tuberculosis (TB): Detection and referral of suspected cases; Contact tracing; Directly observed treatment, short-course (DOTS) providers; defaulter tracing; follow-up sputum examinations; assisting in TB health education talks and active case detection activities. Childhood diarrhea: Prevention; Health education and Water, sanitation and hygiene (WASH) promotion; Diagnosis and dehydration assessment; Treatment and referral; Rehydration therapy using Oral Rehydration Solution (ORS) and oral Zinc tablet; assisted referral. RDT-negative fever: Prevention and health education; Symptomatic treatment with antipyretics and immediate assisted referral. |
|
NO_INTERVENTION: ICMV standard of care
Integrated Community Malaria Volunteer (ICMV) model - this is the current standard of care.
This model involves malaria volunteers undertaking additional screening and referral services for a range of other diseases including: dengue, lymphatic filariasis, tuberculosis, HIV/AIDS and leprosy.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Blood examination rate
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in blood examination rate as determined by the number of rapid diagnostic tests (RDTs) for malaria performed per week per village
|
Assessed weekly, longitudinally over 6-months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Plasmodium spp. infection detected by RDT
Time Frame: Assessed weekly, longitudinally over 6-months.
|
Change in the number of Plasmodium spp.
infections detected by RDT per week per village
|
Assessed weekly, longitudinally over 6-months.
|
|
Plasmodium spp. infections reported with 24 hours
Time Frame: Assessed weekly, longitudinally over 6-months.
|
Change in the number and percentage of Plasmodium spp.
infections reported within 24 hours of RDT per village
|
Assessed weekly, longitudinally over 6-months.
|
|
Plasmodium spp. infection detected by PCR
Time Frame: Assessed weekly, longitudinally over 6-months.
|
Change in the number of Plasmodium spp.
infections detected by polymerase chain reaction (PCR) (from RDT cassette) per week
|
Assessed weekly, longitudinally over 6-months.
|
|
Larval source management
Time Frame: Assessed weekly, longitudinally over 6-months.
|
Change in the number of larval sources managed by the volunteer per week
|
Assessed weekly, longitudinally over 6-months.
|
|
Dengue cases
Time Frame: Assessed weekly, longitudinally over 6-months.
|
Change in the number of suspected Dengue cases referred to the nearby clinic per week
|
Assessed weekly, longitudinally over 6-months.
|
|
Tuberculosis (TB) cases
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in the number of suspected tuberculosis cases referred for diagnosis to national tuberculosis program per week
|
Assessed weekly, longitudinally over 6-months
|
|
TB DOTS
Time Frame: 6-month
|
Number of TB patients monitored by volunteer for DOTS over the whole study period
|
6-month
|
|
Diarrheal cases diagnosed, treated and referred
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in the number of diarrheal cases diagnosed, treated with ORS and zinc tablets and referred per week
|
Assessed weekly, longitudinally over 6-months
|
|
RDT-negative fever cases
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in the number of RDT-negative fever cases referred per week
|
Assessed weekly, longitudinally over 6-months
|
|
Malaria treatment according to national policy
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in the proportion of patients with confirmed malaria who received first-line antimalarial treatment according to national policy
|
Assessed weekly, longitudinally over 6-months
|
|
Data accuracy and completeness in reporting of malaria cases
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in the number of accurately reported and complete malaria case records according the national malaria case-based reporting format
|
Assessed weekly, longitudinally over 6-months
|
|
Malaria drug resistance-associated mutations
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in the proportion of Kelch13 and other resistance mutations detected by PCR from RDT cassettes
|
Assessed weekly, longitudinally over 6-months
|
|
Seroprevalence of malaria-associated antibodies
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in the seroprevalence of anti-malarial antibodies detected by enzyme-linked immunosorbent assay (ELISA) from RDT cassette
|
Assessed weekly, longitudinally over 6-months
|
|
Levels of malaria-associated antibodies
Time Frame: Assessed weekly, longitudinally over 6-months
|
Change in the levels of anti-malarial antibodies detected by enzyme-linked immunosorbent assay (ELISA) from RDT cassette
|
Assessed weekly, longitudinally over 6-months
|
|
Acceptability of the CIME model by villagers
Time Frame: 6-month
|
Acceptability of the CIME model by villagers assessed by an investigator-developed questionnaire including component constructs such as affective attitude, burden, perceived effectiveness and self-efficacy.
|
6-month
|
|
Acceptability of the CIME model by CIME volunteers
Time Frame: 6-month
|
Acceptability of the CIME model by CIME volunteers assessed by an investigator-developed questionnaire including component constructs such as affective attitude, burden, perceived effectiveness and self-efficacy.
|
6-month
|
|
Acceptability of the CIME model by stakeholders
Time Frame: 6-month
|
Acceptability of the CIME model by stakeholders assessed by focus group discussions.
|
6-month
|
|
Cost-effectiveness of the CIME model
Time Frame: 6-month
|
Cost-effectiveness of the CIME model compared to ICMV model (Cost per unit detection, treatment and notification of a malaria case)
|
6-month
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Freya Fowkes, DPhil, Burnet Institute
- Principal Investigator: Win Han Oo, PhD, Burnet Institute
Publications and helpful links
Study record dates
Study Major Dates
Study Start (ANTICIPATED)
Primary Completion (ANTICIPATED)
Study Completion (ANTICIPATED)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 241/20_CIME_Malaria
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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