A quality improvement approach in co-developing a primary healthcare package for raising awareness and managing female genital schistosomiasis in Nigeria and Liberia

Background: Girls and women living in endemic areas for urogenital schistosomiasis may have lifelong vulnerability to female genital schistosomiasis (FGS). For >2 decades, the importance of FGS has been increasing in sub-Saharan Africa, but without established policies for case detection and treatment. This research aimed to understand the level of FGS knowledge of frontline health workers and health professionals working in endemic areas and to identify health system needs for the effective management of FGS cases and prevention of further complications due to ongoing infections. Methods: Workshops were conducted with health workers and stakeholders using participatory methods. These workshops were part of a quality improvement approach to develop the intervention. Results: Health workers’ and system stakeholders’ knowledge regarding FGS was low. Participants identified key steps to be taken to improve the diagnosis and treatment of FGS in schistosomiasis-endemic settings, which focused mainly on awareness creation, supply of praziquantel, development of FGS syndromic management and mass administration of praziquantel to all eligible ages. The FGS intervention component varies across countries and depends on the health system structure, existing facilities, services provided and the cadre of personnel available. Conclusion: Our study found that co-developing a new service for FGS that responds to contextual variations is feasible, promotes ownership and embeds learning across health sectors, including healthcare providers, NTD policymakers and implementers, health professionals and community health workers

Mixed-methods evaluation of integrating female genital schistosomiasis management within primary healthcare: a pilot intervention in Ogun State, Nigeria

Background: Detection and management of female genital schistosomiasis (FGS) within primary healthcare is crucial for achieving schistosomiasis elimination, however, current technical strategies are not feasible in many settings. In Nigeria, there are currently no established standard operating procedures to support front-line health workers. This article presents an evaluation of piloting an FGS care package in two LGAs of Ogun State, Nigeria. Methods: We used quantitative and qualitative analysis, including 46 interviews with patients, health workers and the quality improvement team; observations of training, learning sessions and supervision across 23 heath facilities; and records of patients detected and managed. Results: Of 79 women and girls who were screened, 66 were treated and followed up. Health workers assimilated knowledge of FGS and effectively diagnosed and managed patients, demonstrating the feasibility of using symptomatic screening and treatment tools to diagnose and care for women or girls with suspected FGS. Challenges included establishing a referral pathway to tertiary care for patients with complications, insecurity, gender norms that limited uptake and sensitization, the limited capacity of the workforce, conflicting priorities and praziquantel acquisition. Conclusions: Simple tools can be used in primary healthcare settings to detect and manage women and girls with FGS. Contextual challenges must be addressed. Sustainability will require political and financial commitments

Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

Schistosomiasis prevalence data for Nigeria were extracted from peer-reviewed journals and reports, geo-referenced and collated in a nationwide geographical information system database for the generation of point prevalence maps. This exercise revealed that the disease is endemic in 35 of the country's 36 states, including the federal capital territory of Abuja, and found in 462 unique locations out of 833 different survey locations. Schistosoma haematobium, the predominant species in Nigeria, was found in 368 locations (79.8%) covering 31 states, S. mansoni in 78 (16.7%) locations in 22 states and S. intercalatum in 17 (3.7%) locations in two states. S. haematobium and S. mansoni were found to be co-endemic in 22 states, while co-occurrence of all three species was only seen in one state (Rivers). The average prevalence for each species at each survey location varied between 0.5% and 100% for S. haematobium, 0.2% to 87% for S. mansoni and 1% to 10% for S. intercalatum. The estimated prevalence of S. haematobium, based on Bayesian geospatial predictive modelling with a set of bioclimatic variables, ranged from 0.2% to 75% with a mean prevalence of 23% for the country as a whole (95% confidence interval (CI): 22.8-23.1%). The model suggests that the mean temperature, annual precipitation and soil acidity significantly influence the spatial distribution. Prevalence estimates, adjusted for school-aged children in 2010, showed that the prevalence is >10% in most states with a few reaching as high as 50%. It was estimated that 11.3 million children require praziquantel annually (95% CI: 10.3-12.2 million)

Performance evaluation of the AiDx multi-diagnostic automated microscope for the detection of schistosomiasis in Abuja, Nigeria

Abstract In this research, we report on the performance of automated optical digital detection and quantification of Schistosoma haematobium provided by AiDx NTDx multi-diagnostic Assist microscope. Our study was community-based, and a convenient sampling method was used in 17 communities in Abuja Nigeria, based on the disease prevalence information extracted from the baseline database on schistosomiasis, NTD Division, of the Federal Ministry of Health. At baseline, samples from 869 participants were evaluated of which 358 (34.1%) tested S. haematobium positive by the reference diagnostic standard. Registered images from the fully automated (autofocusing, scanning, image registration and processing, AI image analysis and automatic parasite count) AiDx assist microscope were analyzed. The Semi automated (autofocusing, scanning, image registration & processing and manual parasite count) and the fully automated AiDx Assist showed comparable sensitivities and specificities of [90.3%, 98%] and [89%, 99%] respectively. Overall, estimated egg counts of the semi-automated & fully automated AiDx Assist correlated significantly with the egg counts of conventional microscopy (r = 0.93, p ≤ 0.001 and r = 0.89, p ≤ 0.001 respectively). The AiDx Assist device performance is consistent with requirement of the World Health Organization diagnostic target product profile for monitoring, evaluation, and surveillance of Schistosomiasis elimination Programs

Bayesian geostatistical model-based estimates of soil-transmitted helminth infection in Nigeria, including annual deworming requirements

The acceleration of the control of soil-transmitted helminth (STH) infections in Nigeria, emphasizing preventive chemotherapy, has become imperative in light of the global fight against neglected tropical diseases. Predictive risk maps are an important tool to guide and support control activities.; STH infection prevalence data were obtained from surveys carried out in 2011 using standard protocols. Data were geo-referenced and collated in a nationwide, geographic information system database. Bayesian geostatistical models with remotely sensed environmental covariates and variable selection procedures were utilized to predict the spatial distribution of STH infections in Nigeria.; We found that hookworm, Ascaris lumbricoides, and Trichuris trichiura infections are endemic in 482 (86.8%), 305 (55.0%), and 55 (9.9%) locations, respectively. Hookworm and A. lumbricoides infection co-exist in 16 states, while the three species are co-endemic in 12 states. Overall, STHs are endemic in 20 of the 36 states of Nigeria, including the Federal Capital Territory of Abuja. The observed prevalence at endemic locations ranged from 1.7% to 51.7% for hookworm, from 1.6% to 77.8% for A. lumbricoides, and from 1.0% to 25.5% for T. trichiura. Model-based predictions ranged from 0.7% to 51.0% for hookworm, from 0.1% to 82.6% for A. lumbricoides, and from 0.0% to 18.5% for T. trichiura. Our models suggest that day land surface temperature and dense vegetation are important predictors of the spatial distribution of STH infection in Nigeria. In 2011, a total of 5.7 million (13.8%) school-aged children were predicted to be infected with STHs in Nigeria. Mass treatment at the local government area level for annual or bi-annual treatment of the school-aged population in Nigeria in 2011, based on World Health Organization prevalence thresholds, were estimated at 10.2 million tablets.; The predictive risk maps and estimated deworming needs presented here will be helpful for escalating the control and spatial targeting of interventions against STH infections in Nigeria

Spatial distribution of soil-transmitted helminth infections in Nigeria.

<p>A) Observed prevalence of <i>A</i>. <i>lumbricoides</i>. B) Observed prevalence of hookworm. C) Observed prevalence of <i>T</i>. <i>trichiura</i>. D) Predicted prevalence of <i>A</i>. <i>lumbricoides</i>. E) Predicted prevalence of hookworm. F) Predicted prevalence of <i>T</i>. <i>trichiura</i>.</p

Posterior estimates (median; 95% Bayesian credible interval) of the final geostatistical models for soil-transmitted helminth infections in Nigeria in 2011.

<p>*The effect of land surface temperature (LST) at night is depicted in <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0003740#pntd.0003740.s001" target="_blank">S1 Fig</a>.</p><p>Posterior estimates (median; 95% Bayesian credible interval) of the final geostatistical models for soil-transmitted helminth infections in Nigeria in 2011.</p

Median predicted prevalence of soil-transmitted helminth infection; number of school-aged children infected for Nigeria, stratified by state for 2011.

<p>**Calculated under the assumption of independence.</p><p>Median predicted prevalence of soil-transmitted helminth infection; number of school-aged children infected for Nigeria, stratified by state for 2011.</p