Use of an inexpensive magnifier with light source in the diagnosis of trichiasis among community-based case finders in Nigeria.

Ophthalmic Epidemiol

c Kilimanjaro Centre for Community Ophthalmology, Division of Ophthalmology , University of Cape Town, Cape Town , South Africa.

Published: December 2018

Purpose: Trichiasis case finding is challenging in many trachoma endemic countries. We sought to determine how the use of an inexpensive hand-held magnifier with light source aids in the diagnosis of people with trichiasis.

Methods: We undertook a study on the use of the "Wilson", an inexpensive hand-held magnifier with light source between two groups of trained case finders: community drug distributors (CDD) volunteers and non-health volunteers. Each group was randomly allocated to be provided a Wilson or not. We compared the number of people with suspected trichiasis and the proportion of true cases referred by each group. Focus group discussions explored the perceptions of the case finders that used the Wilson on its utility in the diagnosis of trichiasis and its ease of use.

Results: Among the 121 case finders, 61 were CDD volunteers (31 were provided the Wilson) and 60 were non-health worker volunteers (30 were provided the Wilson). Case finders that used the Wilson were 4.57 times (95% CI 2.46-8.47) more likely to have patients presenting confirmed as trichiasis compared to those not using the Wilson. Case finders that used the Wilson felt the instrument was easy to use, enlarged the eyelashes and made diagnoses of trichiasis easier.

Discussion: In Nigeria it appears that the Wilson is easy to handle and use among trichiasis case finders enhances the diagnosis of trichiasis.

Download full-text PDF

Source
http://dx.doi.org/10.1080/09286586.2018.1546876DOI Listing

Publication Analysis

Top Keywords

case finders
28
magnifier light
12
light source
12
diagnosis trichiasis
12
provided wilson
12
finders wilson
12
trichiasis
8
case
8
trichiasis case
8
inexpensive hand-held
8

Similar Publications

PAH-Finder: A Pattern Recognition Workflow for Identification of PAHs and Their Derivatives.

Anal Chem

January 2025

Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.

Polycyclic aromatic hydrocarbons (PAHs) are pervasive environmental pollutants with significant health risks due to their carcinogenic, mutagenic, and teratogenic properties. Traditional methods for PAH identification, primarily relying on gas chromatography-mass spectrometry (GC-MS), utilize spectral library searches together with other techniques, such as mass defect analysis. However, these methods are limited by incomplete spectral libraries and a high false positive rate.

View Article and Find Full Text PDF

Exploring the Application of SiteMap and Site Finder for Focused Cryptic Pocket Identification.

J Phys Chem B

July 2024

Computer-Aided Drug Design, Therapeutics Discovery, Janssen Research & Development, 3210 Merryfield Row, San Diego, California 92121, United States.

The characterization of cryptic pockets has been elusive, despite substantial efforts. Computational modeling approaches, such as molecular dynamics (MD) simulations, can provide atomic-level details of binding site motions and binding pathways. However, the time scale that MD can achieve at a reasonable cost often limits its application for cryptic pocket identification.

View Article and Find Full Text PDF

Autophagy Gene BECN1 Intronic Variant rs9890617 Predisposes Individuals to Hepatitis B Virus Infection.

Biochem Genet

October 2024

Department of Molecular Biology and Biochemistry, Guru Nanak Dev University, Amritsar, Punjab, 143 005, India.

Beclin 1 protein encoded by the BECN1 gene plays a critical role in the autophagy pathway which is utilized by the Hepatitis B virus (HBV) for its replication. HBV is known for the subversion of the host's autophagy process for its multiplication. The aim of this study was to determine the role of BECN1 intronic variants in HBV susceptibility.

View Article and Find Full Text PDF

In this study, a novel approach is introduced, merging in silico prediction with a Convolutional Neural Network (CNN) framework for the targeted screening of in vivo metabolites in Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) fingerprints. Initially, three predictive tools, supplemented by literature, identify potential metabolites for target prototypes derived from Traditional Chinese Medicines (TCMs) or functional foods. Subsequently, a CNN is developed to minimize false positives from CWT-based peak detection.

View Article and Find Full Text PDF

Background: The World Health Organization recommends house-to-house case searches as an option to evidence whether the elimination of trachomatous trichiasis (TT) has been reached. We sought to determine the number of trachoma-endemic countries and districts that will require either documented full geographic coverage (DFGC) or TT-only surveys.

Methods: We conducted a secondary analysis of data from the Trachoma Atlas to identify evaluation units (EUs) that require house-to-house case searches or TT-only surveys to demonstrate achievement of the elimination of TT.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!