Analysis of care-seeking pathways and factors influencing early and appropriate care-seeking for malaria patients in the Republic of Guinea: a cross-sectional study.

BACKGROUND: Malaria is a major public health issue in Guinea and care-seeking behaviour is dominated by self-medication and delayed access to appropriate care. However early and appropriate care-seeking are essential to control and reduce complicate forms and mortality, particularly for the most vulnerable. This study was conducted to analyse the diagnostic pathway, and the factors associated with early and appropriate care-seeking for malaria patients in the Republic of Guinea. METHODS: A cross-sectional study was carried out between December 2022 to March 2023 in nine health districts within health facilities and at community level. The study population was confirmed malaria patients with RDT or microscopy. Kroeger's conceptual framework was used to design the questionnaire. Conventional recourse was defined as using a healthcare facility or community services, early and appropriate care-seeking was defined as within 24 h of symptom onset in a conventional recourse, and care pathway as the sequence of recourses followed by each patient. Sankey alluvial plots were used to represent patients' diagnostic pathways, and logistic regression to identify factors associated with early and appropriate care-seeking. RESULTS: A total of 3300 malaria patients were studied, of which 1632 (49.45%) were female and 1132 (34.30%) were under 5 years of age, with a median age of 23 months. At the time of the survey, 1337 (40.52%), 1423 (43.12%), and 437 (13.85%) of patients were respectively in their first, second and third recourse. A total of 2002 (60.67%) patients had sought care from a conventional recourse as a first line. Of all patients, 1757 (53.25%) had sought care within 24 h, while 28.55% had sought early and appropriate care. In the initial stages of treatment, self-medication was the most common approach, used by 1214 (37.30%). Patients from the health districts of Boffa (Lower Guinea, coastal region) OR = 0.48 95% CI 0.33-0.70, Dabola (Upper Guinea, savanna region) OR = 0.43 95% CI 0.30-0.63 and Labe (Middle Guinea, mountain region) OR = 0.63 CI 95% 0.43-0.91 (p < 0.05) were more likely to delay appropriate care-seeking, when compared to those in Dixinn, (Conakry). However, the under 5-year-old group OR = 1.55 95% CI 1.30-1.85 (p < 0.001) and the availability of a stable monthly household income OR = 4.98 95% CI 3.03, 8.27 (p < 0.001) were positively associated with early and appropriate care seeking. CONCLUSION: A low rate of early and appropriate care-seeking was observed. Patients sought care through multiple means, often resulting in a delay in adequate management. The results show the need to deploy strategies adapted to the needs of communities.

Factors associated with the ownership and use of insecticide-treated nets in Guinea: an analysis of the 2018 Demographic and Health Survey.

BACKGROUND: Malaria is a leading cause of outpatient visits and deaths among children in Guinea. Despite several mass distribution campaigns of insecticide-treated nets (ITNs) in Guinea, ITN ownership and use remain low. Identifying the underlying factors affecting household ITN ownership and ITN usage among those with access will allow the Guinea National Malaria Control Programme to develop targeted initiatives to improve bed net ownership and usage. METHODS: To understand national and regional drivers of ITN ownership and use, multivariable binary logistic regression models were applied to data from the 2018 Demographic and Health Survey to identify risk factors of household ITN ownership and risk factors of ITN use among individuals with access. Akaike Information Criterion (AIC) was used for model parameter selection. Odds ratios were estimated with corresponding 95% confidence intervals. RESULTS: The proportion of households in Guinea with at least one ITN was 44%, ranging from a low of 25% in Conakry to a high of 54% in Labé. Use of ITNs among those with access was 66.1% nationally, ranging from 35.2% in Labé to 89.7% in N'zérékoré. Risk factors for household ITN ownership were household size, marital status of the household head, education level of the household head, and region. For ITN use among those with access, risk factors were age, wealth quintile, marital status, and region. In the seven regions of Guinea and capital of Conakry, risk factors for household ITN ownership were household size in Boké, Faranah, and Kankan; education level of the household head in Boké, Faranah, and N'zérékoré; age of the household head in Conakry and Labé; children under five in the household in Kankan; and wealth quintile in Mamou. For ITN use among those with access, risk factors were marital status in Conakry, Faranah, Kindia, Labé, Mamou, and N'zérékoré; place of residence in Labé; children under five in the household in Labé; wealth quintile in Mamou; and age in Faranah and N'zérékoré. CONCLUSIONS: This analysis identified national and region-specific factors that affect ownership and use among those with access in Guinea. Future ITN and social-behavioural change campaigns in Guinea may particularly want to target larger households, households without children, and areas with lower perceived risk of malaria if universal coverage and usage are to be achieved for optimal malaria prevention.

Antibiotic resistance surveillance systems: A review.

OBJECTIVES: Epidemiological surveillance is one critical approach to estimate and fight the burden of antibiotic resistance (AR). Here we summarise the characteristics of surveillance systems devoted to the surveillance of AR worldwide and published in the literature. METHODS: We performed a systematic review of the literature available on PubMed from January 2007 to July 2019 (12.5 years). The keywords ('surveillance system' OR 'laboratory-based surveillance' OR 'syndromic surveillance' OR 'sentinel surveillance' OR 'integrated surveillance' OR 'population-based surveillance') AND ('antibiotic resistance' OR 'antimicrobial resistance') were used. This research was completed with AR monitoring systems available on websites. RESULTS: We identified 71 AR surveillance systems described by 90 publications from 35 countries, including 64 (90.1%) national and 7 (9.9%) multinational surveillance systems. Two regions accounted for ∼72% of systems: European region (37; 52.1%) and Region of the Americas (14; 19.7%). Fifty-three focused on AR surveillance in humans, 12 studied both humans and animals, and 6 focused only on animals. The two most common bacterial species reported were Staphylococcus aureus (42; 59.2%) and Escherichia coli (39; 54.9%). Of the 71 AR surveillance systems, 20 (28.2%) used prevalence as an indicator, 3 (4.2%) used incidence and 7 (9.9%) used both. Methicillin-resistant S. aureus (MRSA), vancomycin-resistant Enterococcus spp., S. aureus and Streptococcus pneumoniae, penicillin-resistant S. pneumoniae, and extended-spectrum ß-lactamase (ESBL)-producing and carbapenem-resistant E. coli and Klebsiella pneumoniae were monitored. CONCLUSIONS: Our results showed heterogeneous surveillance systems. A 'One Health' approach is needed to monitor AR, with reference to the WHO Global Action Plan.

Major discrepancy between factual antibiotic resistance and consumption in South of France: analysis of 539,037 bacterial strains.

The burden of antibiotic resistance is currently estimated by mathematical modeling, without real count of resistance to key antibiotics. Here we report the real rate of resistance to key antibiotics in bacteria isolated from humans during a 5 years period in a large area in southeast in France. We conducted a retrospective study on antibiotic susceptibility of 539,107 clinical strains isolated from hospital and private laboratories in south of France area from January 2014 to January 2019. The resistance rate to key antibiotics as well as the proportion of bacteria classified as Difficult-to-Treat (DTR) were determined and compared with the Mann-Whitney U test, the χ2 test or the Fisher's exact test. Among 539,037 isolates, we did not observe any significant increase or decrease in resistance to key antibiotics for 5 years, (oxacillin resistance in Staphylococcus aureus, carbapenem resistance in enterobacteria and Pseudomonas aeruginosa and 3rd generation cephalosporin resistance in Escherichia coli and Klebsiella pneumoniae). However, we observed a significant decrease in imipenem resistance for Acinetobacter baumannii from 2014 to 2018 (24.19-12.27%; p = 0.005) and a significant increase of ceftriaxone resistance in Klebsiella pneumoniae (9.9-24.03%; p = 0.001) and Enterobacter cloacae (24.05-42.05%; p = 0.004). Of these 539,037 isolates, 1604 (0.3%) had a DTR phenotype. Over a 5-year period, we did not observe a burden of AR in our region despite a high rate of antibiotic consumption in our country. These results highlight the need for implementation of real-time AR surveillance systems which use factual data.

Tobacco Smoking Affects the Salivary Gram-Positive Bacterial Population.

The microbial communities of the oral fluid are in direct contact with tobacco smoke, which may thus affect these communities. Few culture-based studies have analyzed the effects of tobacco smoking on the oral fluid microbiota. Using bacterial culture we investigated whether tobacco smoking altered the microbial diversity of the oral fluid, focusing on aerobic and facultative anaerobic Gram-positive bacteria otherwise comprising of major pathogens. Among 90 oral fluid specimens collected in 19 tobacco-smokers and 71 controls, the diversity did not significantly differ with age and with sex. However, diversity was significantly lower in tobacco-smokers (nine different species) than in non-smokers (18 different species) with all the species cultured in tabocco-smokers being also cultured in non-smokers. We isolated the human pathogen Streptococcus australis for the first time from oral fluid. Tobacco smoking significantly alters the saliva Gram-positive bacterial microbiota, including pathogens with potential implication in the pathogenesis of tobacco-related diseases such as periodontitis and peri-implantitis.