Observational studyInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2024
Assessing the integration of skin screening into a mass drug administration campaign against neglected tropical diseases: A cross-sectional observational study from two districts in Côte d'Ivoire, 2023.
Observational study in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Leveraging malaria microscopy infrastructure to diagnose common and neglected skin diseases using direct microscopy in Sumba, Indonesia.The Lancet regional health. Western Pacific · 2025Article
- People-centered strategies to mobilize people living with disabilities due to Neglected Tropical Diseases (PD-NTDs) to influence policy and programs: A mixed-methods study in Côte d'Ivoire.PLoS neglected tropical diseases · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundThe World Health Organization advocates integrating neglected tropical diseases (NTDs) into common delivery platforms to combat them in resource-constrained settings. However, limited literature exists on the benefits of integration. This study examines the feasibility and impact of adding skin screening to a mass drug administration (MDA) campaign in Côte d'Ivoire.
methodsIn June 2023, the Ministry of Health and Public Hygiene of Côte d'Ivoire piloted screening for skin-related NTDs alongside a national MDA campaign targeting soil-transmitted helminthiases and schistosomiasis. Two districts, Fresco and Koro, were selected for the pilot. The study applied both quantitative and qualitative assessments. The quantitative aspect focused on campaign costs and outputs, using an ingredient approach for costing. The qualitative evaluation employed an empirical phenomenological approach to analyze the campaign's operational feasibility and appreciation by stakeholders.
findingsMDA activities cost $0·66 per treated child and skin screening $0·62 per screened person, including medical products. The MDA campaign exceeded coverage targets in both districts, whereas skin screening coverage varied by locality and age group. Both the service delivery team and the beneficiaries expressed appreciation for the integrated campaign. However, opportunities for improvement were identified.
conclusionIntegrating MDA and skin NTD screening proved operationally feasible in this context but had not recorded cost-saving effects. The performance of the MDA campaign was not negatively affected by additional skin screening activities, but effective integration requires thorough joint planning, strengthened training, and proper supervision.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.