Integrated Mapping of Skin-presenting Neglected Tropical Diseases in Liberia

Prevalence Survey for Innovative and Intensified Disease Management (IDM) Neglected Tropical Diseases (NTDs): A Cluster Randomised Two-stage Active Case Search for IDM-NTDs in Liberia

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.

Study Overview

• Status: Unknown
• Conditions: Yaws; Leprosy; Lymphatic Filariases; Buruli Ulcer

Detailed Description

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:

1. To generate regional prevalence estimates of (i) lymphatic filariasis-associated lymphoedema and hydrocele, (ii) yaws, (iii) Buruli ulcer and (iv) leprosy in Maryland, Liberia, including the proportion of cases not currently known to the health system
2. To model the endemicity status of (i) lymphoedema and hydrocele, (ii) yaws, (iii) Buruli ulcer and (iv) leprosy to support the development of targeted, integrated control strategies.
3. To compare case detection rates from active community-based screening and validation with passive case detection reported through routine health system reports and health management information systems.

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.

• Study Type: Observational
• Enrollment (Anticipated): 48000

Contacts and Locations

• Study Contact: Name: Rachel L Pullan, PhD; Phone Number: 02079272702; Email: rachel.pullan@lshtm.ac.uk
• Study Contact Backup: Name: Joseph Timothy, PhD; Phone Number: 02079272702; Email: joseph.timothy@lshtm.ac.uk

Study Locations

• Liberia
  • Maryland
    • Harper, Maryland, Liberia
      • Recruiting
      • Maryland County
      • Contact: Emerson Rogers

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Child; Adult; Older Adult
• Accepts Healthy Volunteers: N/A
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

All individuals resident in the study clusters, which were selected with probability proportional to size.

Description

Inclusion Criteria:

• Adults over 18 must be willing and able to give informed consent for examination, and children over 13 years must be willing and able to give informed assent
• An adult (>18 year of age) parent or guardian must be present at the time of the examination who can give informed consent for children <18 years to be examined.

Exclusion Criteria:

• Individuals for whom no adult parent/guardian is available to provide consent and/or who are unwilling to provide assent/consent for themselves.

Study Plan

How is the study designed?

Design Details

• Observational Models: Other
• Time Perspectives: Cross-Sectional

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort

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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	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

Secondary Outcome Measures

Outcome Measure	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	Over a four month period
Population prevalence of category 3 Buruli Ulcer	Category 3 lesions for Buruli ulcer	Over a four month period

Collaborators and Investigators

• Sponsor: London School of Hygiene and Tropical Medicine
• Collaborators: AIM Initiative; Ministry of Health, Liberia
• Investigators: Principal Investigator: Rachel L Pullan, PhD, London School of Hygiene and Tropical Medicine; Principal Investigator: Karsor Kollie, MSc, Ministry of Health, Liberia

Study record dates

Study Major Dates

• Study Start (Actual): June 14, 2018
• Primary Completion (Anticipated): October 30, 2018
• Study Completion (Anticipated): December 30, 2018

Study Registration Dates

• First Submitted: September 19, 2018
• First Submitted That Met QC Criteria: September 24, 2018
• First Posted (Actual): September 25, 2018

Study Record Updates

• Last Update Posted (Actual): September 25, 2018
• Last Update Submitted That Met QC Criteria: September 24, 2018
• Last Verified: September 1, 2018

More Information

Terms related to this study

• Keywords: disease burden
• Additional Relevant MeSH Terms: Skin Diseases; Infections; Lymphatic Diseases; Skin Ulcer; Vector Borne Diseases; Bacterial Infections; Bacterial Infections and Mycoses; Gram-Positive Bacterial Infections; Actinomycetales Infections; Parasitic Diseases; Mycobacterium Infections; Spirurida Infections; Secernentea Infections; Nematode Infections; Helminthiasis; Lymphedema; Mycobacterium Infections, Nontuberculous; Filariasis; Elephantiasis, Filarial; Elephantiasis; Leprosy; Buruli Ulcer
• Other Study ID Numbers: 14698-1

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: Undecided

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No