Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| AIM Initiative | UNKNOWN |
| Ministry of Health, Liberia | OTHER |
Not provided
Not provided
Not provided
Not provided
Appropriate targeting of interventions for neglected tropical diseases (NTDs) that require innovative and intensified disease management (IDM) requires accurate data on the distribution of these diseases within endemic countries. In most instances however, existing case register data generated through national health management information systems or during programmatic activities do not provide an accurate representation of the true burden of IDM NTDs. This study will pilot a cluster randomized screening and confirmation survey to estimate the burden of IDM NTDs characterised by skin conditions associated with long-term disfigurement and disability. These include: leprosy, Buruli ulcer, yaws and lymphoedema and hydrocele resulting from lymphatic filariasis. The survey is being conducted in one county in Liberia.
The protocol involves community-level screening by community health volunteers trained to use photo-based visual aids to recognise changes in the skin that broadly indicates patent infection. All suspected cases will be verified in their homes by local and national experts trained in the diagnosis of skin-presenting NTDs. The survey will generate accurate district-level prevalence estimates of leprosy, yaws, Buruli ulcer and lymphatic filariasis-associated lymphoedema and hydrocele and quantify the total costs and cost per case detected. In addition, results from this protocol will be compared with routinely collected case register data, to better understand how health system records reflect the true disease situation on the ground and quantify unmet need.
Innovative and intensified disease management (IDM) includes a range of different interventions - ranging from medicine to surgery - to relieve the symptoms and consequences of a group of neglected tropical diseases (NTDs) for which effective tools are scarce or where the widespread use of existing tools is limited. The World Health Organisation (WHO) has developed a series of strategies to achieve the control, elimination and eventual eradication of these NTDs, comprising universal access to early diagnosis and prompt treatment, improving active surveillance, integrating passive surveillance into health-service provision, and accelerating efforts towards elimination and eradication by intensifying core interventions. Appropriate targeting of IDM interventions requires accurate epidemiological data on the distribution of these NTDs within endemic countries. In most instances however, existing case register data generated through national health management information systems or during programmatic activities do not provide an accurate representation of the true burden of IDM NTDs.
A number of IDM NTDs are characterised by cutaneous manifestations that are associated with long-term disfigurement and disability. These include Buruli ulcer, cutaneous leishmaniasis, leprosy, mycetoma, yaws, onchocerciasis and lymphoedema and hydrocele (resulting from lymphatic filariasis and podoconiosis). These diseases require similar case-detection approaches, presenting opportunities for the development of novel, integrated mapping approaches. Population-based prevalence surveys (PBPS) are the gold standard methodology for obtaining accurate disease estimates when case detection and reporting through the health system is incomplete, and these have been used to provide sub-national estimates of disease distributions for yaws and podoconiosis. For less common outcomes (fewer than 1 case in 1000 individuals) however, standard PBPS rapidly become unfeasible. Given that the expected prevalence range for many of these IDM NTDs in endemic regions lies between as low as 1 in 10,000 for Buruli ulcer and 1-5% for yaws, it is clear that the PBPS approach requires adaptation to achieve the samples sizes needed to generate sufficiently precise prevalence estimates.
One alternative to randomly sampling individuals or households is to screen all residents within sampling clusters. House-to-house screening by mobile expert teams would likely yield the highest number of cases, but such a strategy would be expensive and difficult to sustain. As an alternative, trained village volunteers have been used during programmatic activities to effectively detect and refer diseases such as Buruli ulcer and leprosy in a number of countries. Given how difficult it is to diagnose many IDM-NTDs accurately, using community volunteers to perform an exhaustive house-to-house case search would require follow up expert case validation. The success of such an approach would thus rely on high levels of community awareness, coupled with well-trained village volunteers being able to recognise possible conditions, and a highly skilled, mobile case-validation team to confirm all potential cases. Effectively incorporating skill development in IDM-NTD screening among village volunteers could however represent a long-term and sustainable solution to the complex issue of managing these conditions at the community and primary health care level.
This study aims to establish the prevalence and distribution of case-management NTDs in the county of Maryland, Liberia using an integrated two-stage cluster-randomised sampling approach, including assessment of the proportion of cases not currently known to the health system.
The specific objectives include:
This protocol represents a novel tool for integrated mapping of IDM-NTDs. These conditions are difficult to diagnose and lack effective tools for both case finding and disease management purposes. This strategy may provide a template for cost-effective case identification and management that can be integrated within routine health systems in similar epidemiological settings.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Maryland | Maryland is a county in southeast Liberia. Survey clusters based on catchment populations served by community health volunteers (CHVs) around 24 district health facilities (primary sampling unit). Clusters will constitute ~600 people (~100 households) with population-weighted cluster selection applied. In total, 80 clusters will be required. CHVs would conduct house-to-house visits to develop a full census and listing of all possible cases using broad case definitions. Full details of all potential cases will then be passed to an expert verification team based at the closest health facility. Suspected cases will arrive at the health facility over a 10-day verification period to receive a diagnosis using clinical examination and/or laboratory confirmation. |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Population prevalence of Lymphatic Filariasis | Clinical signs of lymphoedema and hydrocele associated with lymphatic filariasis | Over a four month period |
| Population prevalence of Yaws | Clinical signs and PCR-confirmed yaws | Over a four month period |
| Population prevalence of Buruli Ulcer | Clinical signs and PCR-confirmed Buruli ulcer | Over a four month period |
| Measure | Description | Time Frame |
|---|---|---|
| Population prevalence of leprosy | Clinical signs of disease and of Grade 2 disability for leprosy | Over a four month period |
| Population prevalence of BU and yaws in children | Clinical signs of Buruli ulcer and yaws in children <15years |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
All individuals resident in the study clusters, which were selected with probability proportional to size.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Rachel L Pullan, PhD | London School of Hygiene and Tropical Medicine | Principal Investigator |
| Karsor Kollie, MSc | Ministry of Health, Liberia | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Maryland County | Harper | Maryland County | Liberia |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D007918 | Leprosy |
| D054312 | Buruli Ulcer |
| D015001 | Yaws |
| D004605 | Elephantiasis, Filarial |
| ID | Term |
|---|---|
| D009165 | Mycobacterium Infections, Nontuberculous |
| D009164 | Mycobacterium Infections |
| D000193 | Actinomycetales Infections |
| D016908 | Gram-Positive Bacterial Infections |
Not provided
Not provided
Not provided
Not provided
Not provided
Specimens will be obtained from all clinically suspected cases, for confirmatory diagnosis. These include:
Samples will be tested using molecular analysis including PCR and sequencing for detection of T. pallidum, M. Ulcerans, M. leprae and other pathogens which can cause similar manifestations.
Samples are to be stored (in Liberia, and in London) at -20 degrees in appropriately secured laboratory freezers (CL2 and CL3) for future research projects. This is explained in the information sheet, with a statement included in the consent forms.
| Over a four month period |
| Population prevalence of category 3 Buruli Ulcer | Category 3 lesions for Buruli ulcer | Over a four month period |
| D001424 | Bacterial Infections |
| D001423 | Bacterial Infections and Mycoses |
| D007239 | Infections |
| D012883 | Skin Ulcer |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D014211 | Treponemal Infections |
| D013145 | Spirochaetales Infections |
| D016905 | Gram-Negative Bacterial Infections |
| D017192 | Skin Diseases, Bacterial |
| D012874 | Skin Diseases, Infectious |
| D005368 | Filariasis |
| D017205 | Spirurida Infections |
| D017190 | Secernentea Infections |
| D009349 | Nematode Infections |
| D006373 | Helminthiasis |
| D010272 | Parasitic Diseases |
| D000096724 | Mosquito-Borne Diseases |
| D000079426 | Vector Borne Diseases |
| D008209 | Lymphedema |
| D008206 | Lymphatic Diseases |
| D006425 | Hemic and Lymphatic Diseases |