A model for improving and assessing outpatient stewardship initiatives for acute respiratory infection

2019 ◽  
Vol 40 (10) ◽  
pp. 1198-1200 ◽  
Author(s):  
Joan Guzik ◽  
Pooja Kothari ◽  
Misha Sharp ◽  
Belinda Ostrowsky ◽  
Gopi Patel ◽  
...  

Many hospitals have established inpatient antibiotic stewardship programs (ASPs), but outpatient activities remain limited. In 2016, the United Hospital Fund (UHF), an independent nonprofit working to build a more effective healthcare system for every New Yorker, launched a 2-stage grant-funded initiative to evaluate outpatient antibiotic stewardship, focusing on adults with acute respiratory infections (ARIs). Conclusions from stage 1 included few outpatient antibiotic stewardship activities, variation in prescribing, macrolides as the most commonly prescribed antibiotic, and provider interest in improving prescribing.1

2021 ◽  
pp. 1357633X2110349
Author(s):  
Peter Yao ◽  
Kriti Gogia ◽  
Sunday Clark ◽  
Hanson Hsu ◽  
Rahul Sharma ◽  
...  

Background Telemedicine, which allows physicians to assess and treat patients via real-time audiovisual conferencing, is a rapidly growing modality for providing medical care. Antibiotic stewardship is one important measure of care quality, and research on antibiotic prescribing for acute respiratory infections in direct-to-consumer telemedicine has yielded mixed results. We compared antibiotic prescription rates for acute respiratory infections in two groups treated by telemedicine: (1) patients treated via a direct-to-consumer telemedicine application and (2) patients treated via telemedicine while physically inside the emergency department. Methods We included direct-to-consumer telemedicine and emergency department telemedicine visits for patients 18 years and older with physician-coded International Classification of Diseases, Tenth Revision acute respiratory infection diagnoses between November 2016 and December 2018. Patients in both groups were seen by the same emergency department faculty working dedicated telemedicine shifts. We compared antibiotic prescribing rates for direct-to-consumer telemedicine and emergency department telemedicine visits before and after adjustment for age, sex, and diagnosis. Results We identified a total of 468 acute respiratory infection visits: 191 direct-to-consumer telemedicine visits and 277 emergency department telemedicine visits. Overall, antibiotics were prescribed for 47% of visits (59% of direct-to-consumer telemedicine visits vs 39% of emergency department telemedicine visits; odds ratio 2.23; 95% confidence interval 1.53–3.25; P < 0.001). The difference in antibiotic prescribing rates remained significant after adjustment for age, sex, and diagnosis (odds ratio 2.49; 95% confidence interval 1.65–3.77; P < 0.001). Conclusion Patients seen by the same group of physicians for acute respiratory infection were significantly more likely to be prescribed antibiotics by direct-to-consumer telemedicine care compared with telemedicine care in the emergency department. This work suggests that contextual factors rather than evaluation over video may contribute to differences in antibiotic stewardship for direct-to-consumer telemedicine encounters.


IKESMA ◽  
2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Ema Mayasari

Acute Respiratory Infections (ARI) is one of the most common causes of death in children of developing countries. The cause of ARI include home building materials made of asbestos, has a floor with a thickness of less than 20cm and has a floor area of less than 10% of the floor area. The objective of this study was to determine the effect of physical condition to Acute Respiratory Infections (ARI) at public health centers in the region of the northern town of Kediri.This study was an analyticstudy with cross-sectional approach. There were 102 samples on society at public health centers in the region of the northern town of Kediri, and use simple random sampling. The independent variable is the building constructures, the type of floor, and size of ventilation, while the dependent variable was the incident of Acute Respiratory Infection. Data were analyzed by logistic regression.The results showed that, p value = 0,000 <a =0,05, so there is physical condition home has affected the occurrence ARI. While the most dominant factor of the three factors is size of ventilation where the value of Exp (B) 0,014 more than the other two factors, are building contructure where the value Exp (B) 0,012 and the type of floor where the value Exp (B) 0,010.The majority of respondents suffering from ARI and most the of respondent have a home ventilation that does not qualify, therefore people should pay more attention to the ventilation of their homes so spacious home ventilation of at least 10 % of their floor area. Keywords: Acute Respiratory Infection, Building Material, Floor, Ventilation


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Sielu Alemayehu ◽  
Kalayou Kidanu ◽  
Tensay Kahsay ◽  
Mekuria Kassa

Abstract Background Acute Respiratory infection accounts for 94,037000 disability adjusted life years and 1.9 million deaths worldwide. Acute respiratory infections is the most common causes of under-five illness and mortality. The under five children gets three to six episodes of acute respiratory infections annually regardless of where they live. Disease burden due to acute respiratory infection is 10–50 times higher in developing countries when compared to developed countries. The aim of this study was to assess risk factors of acute respiratory infection among under-five children attending Public hospitals in Southern Tigray, Ethiopia 2016/2017. Methods Institution based case control study was conducted from Nov 2016 to June 2017. Interviewer administered structured questionnaire was used to collect data from a sample of 288 (96 cases and 192 controls) children under 5 years of age. Systematic random sampling was used to recruit study subjects and SPSS version 20 was used to analyze the data. Bivariate and multivariate analysis were employed to examine statistical association between the outcome variable and selected independent variables at 95% confidence level. Level of statistical Significance was declared at p < 0.05. Tables, figures and texts were used to present data. Result One hundred sixty (55.6%) and 128 (44.4%) of the participants were males and females respectively. Malnutrition (AOR = 2.89; 95%CI: 1.584–8.951; p = 0.039), cow dung use (AOR =2.21; 95%CI: 1.121–9.373; p = 0.014), presence of smoker in the family (AOR = 0.638; 95% CI: 0.046–0.980; p = 0.042) and maternal literacy (AOR = 3.098; 95%CI: 1.387–18.729; p = 0.021) were found to be significant predictors of acute respiratory infection among under five children. Conclusion According to this study maternal literacy, smoking, cow dung use and nutritional status were strongly associated with increased risk of childhood acute respiratory infection. Health care providers should work jointly with the general public, so that scientific knowledge and guidelines for adopting particular preventive measures for acute respiratory infection are disseminated.


2020 ◽  
Vol 48 (1) ◽  
Author(s):  
Abraham Geremew ◽  
Selamawit Gebremedhin ◽  
Yohannes Mulugeta ◽  
Tesfaye Assebe Yadeta

Abstract Background Globally, acute respiratory infections are among the leading causes of under-five child mortality, especially in lower-income countries; it is associated with indoor exposure to toxic pollutants from solid biomass fuel. In Ethiopia, 90% of the population utilizes solid biomass fuel; respiratory illness is a leading health problem. However, there is a paucity of nationally representative data on the association of household cooking place and respiratory infections. Besides, evidence on the variability in the infection based on the data collected at different times is limited. Therefore, this study is intended to assess the association of food cooking place with acute respiratory infections and the variability in households and surveys. Methods The current analysis is based on the Ethiopian Demographic and Health Survey data collected in 2005, 2011, and 2016 and obtained via online registration. The association of food cooking place with acute respiratory infection was assessed using multilevel modeling after categorizing all factors into child level and survey level, controlling them in a full model. The analyses accounted for a complex survey design using a Stata command “svy.” Result A total of 30,895 under-five children were included in this study, of which 3677 (11.9%) children had an acute respiratory infection, with 12.7% in 2005, 11.9% in 2011, and 11.1% in 2016. The risk of having an infection in under-five children in households that cooked food outdoors was 44% lower (AOR = 0.56, 95% CI = 0.40, 0.75) compared to those households that cooked the food inside the house. There was a statistically significant difference among the children among surveys to have an acute respiratory infection. Conclusion The risk of having children with acute respiratory infection is lower in the households of cooking food outdoor compared to indoor. The infection difference in different surveys suggests progress in the practices in either food cooking places or the fuel types used that minimize food cooking places location or the fuel types used that minimizes the risk. But, the infection is still high; therefore, measures promoting indoor cooking in a well-ventilated environment with alternative energy sources should take place.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Abebaw Addisu ◽  
Tesfalem Getahun ◽  
Mulunesh Deti ◽  
Yilkal Negesse ◽  
Besufekad Mekonnen

Background. Most of the households in developing countries burn biomass fuel in traditional stoves with incomplete combustion that leads to high indoor air pollution and acute respiratory infections. Acute respiratory infection is the most common cause of under-five morbidity and mortality accounting for 2 million deaths worldwide and responsible for 18% of deaths among under-five children in Ethiopia. Although studies were done on acute respiratory infections, the majority of studies neither clinically diagnose respiratory infections nor use instant measurement of particulate matter. Methods. The community-based cross-sectional study design was employed among under-five children in Jimma town from May 21 to June 7, 2020. A total of 265 children through systematic random sampling were included in the study. The data were collected using a pretested semistructured questionnaire and laser pm 2.5 meter for indoor particulate matter concentration. Associations among factors were assessed through correlation analysis, and binary logistic regression was done to predict childhood acute respiratory infections. Variables with p -value less than 0.25 in bivariate regression were the candidate for the final multivariate logistic regression. Two independent sample t-tests were done to compare significant mean difference between concentrations of particulate matter. Results. Among 265 under-five children who were involved in the study, 179 (67.5%) were living in households that predominantly use biomass fuel. Prevalence of acute respiratory infections in the study area was 16%. Children living in households that use biomass fuel were four times more likely to develop acute respiratory infections than their counterparts (AOR: 4.348; 95% CI: 1.632, 11.580). The size of household was significantly associated with the prevalence of acute respiratory infections. Under-five children living in households that have a family size of six and greater had odds of 1.7 increased risk of developing acute respiratory infections than their counterparts (AOR: 1.7; 95% CI: 1.299, 2.212). The other factor associated with acute respiratory infection was separate kitchen; children living in households in which there were no separate kitchen were four times at increased risk of developing acute respiratory infection than children living in households which have separate kitchen (AOR: 4.591; 95% CI: 1.849, 11.402). The concentration of indoor particulate matter was higher in households using biomass fuel than clean fuel. There was statistically higher particulate matter concentration in the kitchen than living rooms (t = 4.509, p ≤ 0.001 ). Particulate matter 2.5 concentrations (μg/m3) of the households that had parental smoking were significantly higher than their counterparts (AOR: 20.224; 95% CI: 1.72, 12.58). Conclusion. There is an association between acute respiratory infections and biomass fuel usage among under-five children. Focusing on improved energy sources is essential to reduce the burden and assure the safety of children.


2021 ◽  
Vol 13 (2) ◽  
pp. 53-60
Author(s):  
D. A. Guzhov ◽  
E. A. Elpaeva ◽  
M. A. Egorova ◽  
V. A. Eder ◽  
I. L. Baranovskya ◽  
...  

Objective: to analyze the epidemiological and clinical features of acute respiratory infections occurring during the St. Petersburg 2017-2018 and 2018-2019 epidemic seasons.Materials and methods: the study included 457 patients, treated in St. Petersburg clinics from 2017-2019, displaying symptoms of acute respiratory infection (ARI), including evaluation of their clinical histories. Pathogen types were determined by polymerase chain reaction (PCR). Data analysis was carried out using mathematical statistics methods using the Statistica 10 software package (StatSoft Inc.).Results: in this study, we examined the epidemiological and clinical features of acute respiratory infections in St. Petersburg occurring during two epidemic seasons, 2017-2018 and 2018-2019. The 2017-2018 season was characterized by a prevalence of infections caused by influenza B viruses and influenza A subtype H3N2 viruses. In the 2018-2019 season, there was a greater number of acute respiratory viral infections (ARVIs) and infections caused by influenza A subtype H1N1pdm; influenza B virus was detected only in isolated cases. In the 2017-2018 sore throats and muscle aches were a characteristic symptom of influenza A H1N1pdm infections, of bacterial infections – only sore throats. It was shown that throat pain and vasodilation of the scleral and soft palate vessels were significantly more frequent in the 2017-2018 season, compared to the 2018-2019 season. Cough and redness of the posterior pharyngeal wall were hallmark signs of ARVIs in the 2018-2019 season.Conclusion: according to the data, each epidemic season is characterized not only by its own type-specific acute respiratory infection frequencies, but also by different clinical manifestation frequencies. For global monitoring, treatment effectiveness evaluation, and refined study of acute respiratory infection clinical features, it is advisable to use approaches which incorporate accurate, specific, and rapid molecular biological methods capable of identifying a broad range of pathogens.


2020 ◽  
Vol 12 (4) ◽  
pp. 65-71
Author(s):  
D. A. Guzhov ◽  
E. A. Elpaeva ◽  
M. A. Egorova ◽  
V. A. Eder ◽  
I. L. Baranovskaya ◽  
...  

Objective: to analyze the epidemiological and clinical features of acute respiratory infections occurring during the St. Petersburg 2017–2018 and 2018–2019 epidemic seasons.Materials and methods: the study included 457 patients, treated in St. Petersburg clinics from 2017–2019, displaying symptoms of acute respiratory infection (ARI), including evaluation of their clinical histories. Pathogen types were determined by polymerase chain reaction (PCR). Data analysis was carried out using mathematical statistics methods using the Statistica 10 software package (StatSoft Inc.).Results: in this study, we examined the epidemiological and clinical features of acute respiratory infections in St. Petersburg occurring during two epidemic seasons, 2017–2018 and 2018–2019. The 2017–2018 season was characterized by a prevalence of infections caused by influenza B viruses and influenza A subtype H3N2 viruses. In the 2018–2019 season, there was a greater number of acute respiratory viral infections (ARVIs) and infections caused by influenza A subtype H1N1pdm; influenza B virus was detected only in isolated cases. In the 2017–2018 sore throats and muscle aches were a characteristic symptom of influenza A H1N1pdm infections, of bacterial infections – only sore throats. It was shown that throat pain and vasodilation of the scleral and soft palate vessels were significantly more frequent in the 2017–2018 season, compared to the 2018–2019 season. Cough and redness of the posterior pharyngeal wall were hallmark signs of ARVIs in the 2018–2019 season.Conclusion: according to the data, each epidemic season is characterized not only by its own type-specific acute respiratory infection frequencies, but also by different clinical manifestation frequencies. For global monitoring, treatment effectiveness evaluation, and refined study of acute respiratory infection clinical features, it is advisable to use approaches which incorporate accurate, specific, and rapid molecular biological methods capable of identifying a broad range of pathogens. 


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252703
Author(s):  
Mohabeer Teeluck ◽  
Atsushi Samura

Introduction Mauritius introduced Acute respiratory infection (ARI) syndromic surveillance in 2007. The Moving Epidemic Method (MEM) and the World Health Organization Average Curve Method (WHO ACM) have been used widely in several countries to establish thresholds to determine the seasonality of acute respiratory infections. This study aimed to evaluate the appropriateness of these tools for ARI syndromic surveillance in Mauritius, where two or more waves are observed. Method The proportion of attendance due to acute respiratory infections was identified as the transmissibility indicator to describe seasonality using the Moving Epidemic Method and the WHO Average Curve Method. The proportion was obtained from weekly outpatient data between 2012 and 2018 collected from the sentinel acute respiratory infections surveillance. A cross-validation analysis was carried out. The resulting indicators of the goodness of fit model were used to assess the robustness of the seasonal/epidemic threshold of both the Moving Epidemic Method and WHO Average Curve Method. Additionally, a comparative analysis examined the integrity of the thresholds without the year 2017. Result The cross-validation analysis demonstrated no statistically significant differences between the means scores of the indicators when comparing the two waves/seasons curves of WHO ACM and MEM. The only exception being that the Wilcoxon sign rank test strongly supported that the specificity mean score of the two waves/seasons curve for WHO ACM outweighed that of its corresponding wave model for the MEM (P = 0.002). The comparative analysis with 2017 data showed the value of the epidemic threshold remained the same regardless of the methods and the number of seasonal waves. Conclusion The two waves models of the Moving Epidemic Method and WHO Average Curve Method could be deployed for acute respiratory infection syndromic surveillance in Mauritius, considering that two or more activity peaks are observed in a season.


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