Overview of Managing Infectious Diseases in Child Care and Schools

2016 ◽  
pp. 1-14
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Minjung Park ◽  
Jimin Park ◽  
Soonman Kwon

As the role of traditional medicine in community health improvement increases, a comprehensive health care program for infectious diseases management in child-care centers by Korean medicine doctors was developed. The purpose of this study is to evaluate the effects of the program intervention on infection-related medical care utilization among children. The study used a quasi-experimental design with nonequivalent control group, comparing pre- and post-intervention data of the same children. The program implemented interventions in terms of management, education, and medical examination for the teachers, parents, and children in 12-week period. The frequency of utilization, cost, and prescription days of drugs and antibiotics due to infectious diseases prior to the intervention were compared with those during the 3-month intervention, using health insurance claim data. A panel analysis was also conducted to support the findings. A significant reduction (12%) in infection-related visit days of hospitals was observed with the intervention (incident rate ratio = 0.88,P=0.01). And medical cost, drug prescription days, and antibiotics prescription days were decreased, although not statistically significant. A further cost-effectiveness analysis in terms of social perspectives, considering the opportunity costs for guardians to take children to medical institutions, would be needed.


2013 ◽  

Presented in an easy-to-use format, this ‘must-have’ guide provides: Content from AAP’s premier source of information on infectious diseases, the Red Book Quick reference fact sheets on more than 50 common infectious diseases and symptoms that occur in children in group settings Easy-to-read explanations on how infectious diseases spread Strategies for limiting the spread of infection When exclusion is indicated and not indicated Guidance about which situations require immediate help Immunization schedules Ready-to-use sample letters and forms for parents or referrals


PEDIATRICS ◽  
1994 ◽  
Vol 94 (6) ◽  
pp. 1031-1033
Author(s):  
Frederick P. Rivara ◽  
Jeffrey J. Sacks

Injuries in child day care are a microcosm of the overall problem of childhood injury. In 1985 the National Academy of Sciences characterized injury as the most important public health problem in America.1 Although infectious diseases account for substantial morbidity among children—including the needs for medical care and hospitalization—injury is the most common cause of serious disability and death to children. Over the last 25 years there have been remarkable reductions in morbidity and mortality from other causes of childhood death, particularly those from infections and more recently from childhood cancer.2 Unfortunately, the reduction in childhood death from injuries has been minimal.2 Thus, addressing injuries to children in child-care and other settings is a public health priority. INCIDENCE OF INJURIES Approximately 25% of children annually incur injuries requiring medical care, either in the emergency department or the physician's office.3 The most common injury event is a fall. Falls are a particular problem because they can result in head trauma and permanent disability. Falls are the main cause of traumatic brain injury in children and account for 55% of traumatic brain injury requiring admission to the hospital.4 Contrary to popular belief, outcomes from head injuries in children are worse than outcomes in adults.5 Comparison of injuries to children in out-of-home child care (OOHCC) and in home care (HC) requires the calculation of comparable incidence rates. All children in OOHCC also spend time in HC, so comparisons based on population denominators are not accurate. In addition, unlike most infectious diseases—for which illnesses occur following an incubation period—injuries occur immediately after the exposure.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Samantha Spoto ◽  
Michael Wiese ◽  
Michelle Lyman

ObjectiveThe Florida Department of Health in Hillsborough County (DOH-Hillsborough) routinely reviews the ESSENCE-FL system to assess syndromic trends in emergency department (ED) and urgent care data (UCC). Collection of this type of symptom data from long term care facilities (LTCFs) and child care centers is of interest in order to better understand how these illness patterns present in vulnerable populations outside of the EDs.IntroductionSurveillance in nursing homes (Enserink et al., 2011) and day care facilities (Enserink et al., 2012) has been conducted in the Netherlands, but is not commonly practiced in the United States (Buehler et al., 2008). Outbreaks of illnesses within these facilities are required to be reported to the Epidemiology Program, however a small fraction of outbreaks reported come from LTCFs. Without regular communication between LTCFs and the Epidemiology Program, it is likely that many outbreaks are going unreported due to lack of awareness of the reporting requirements by facility staff. To better understand the prevalence of illness in LTCFs and improve communication between LTCFs and DOH-Hillsborough a weekly surveillance survey was created using Epi Info web survey.MethodsThe online facility search tool from the Agency for Healthcare Administration (AHCA) was used to query assisted living facilities and nursing homes in Hillsborough County in July 2017. The information provided included the number of beds a facility is licensed to have. Interest in participation was solicited from larger LTCFs within the county in August 2017 and 23 facilities volunteered to receive weekly surveys, with a total volume of 3,276 beds. A form was created in Epi Info to capture weekly information per facility of the number of residents and staff with new onset of various symptoms. Symptom groups include GI, rash, respiratory, and those with respiratory symptoms who also have a fever (to assess influenza-like illness); number of positive flu tests for the week is also asked. Starting with week 38, an email has been sent once a week to participating facilities with a link to the Epi Info web survey (Figure 1) and instructions to fill out the information for the previous week.ResultsTo date, 12 weeks of information has successfully been captured in Epi Info and transferred to Microsoft Excel for graphical visualization of percentage of residents/staff reported each week in the county with new onset of the above symptoms. Low levels of illness (<6%/week of total reported residents/staff) have been reported for various syndromes each week. Over the 12 week period an average of 3.9 facilities submit data per week, with a total of 10 of 23 facilities participating at least once. In week 42 phone calls were made to faclities that had not submitted any responses in an attempt to elicit more participation and troubleshoot any problems faclities may have encountered. Prior to week 42, an average of 3.2 facilties reported per week. After reminder phone calls were conducted, the average number of responses for weeks 42-48 was 4.4 with the highest in week 42 (6 responses). Starting in week 42 the survey has also been implemented for 15 child care facilities, with four participating over the seven weeks with an average of 2.1 responses per week.ConclusionsSince implementation, the main limitation with the data collection is lack of regular participation from facilities.The current goal of the project is to increase the number of regular responses from both LTCFs and child care facilities. The phone calls made in week 42 increased the response rate for LTCFs, particularly for that week. Preliminary results from the first 12 weeks of data indicate that using Epi Info web survey as a syndromic surveillance tool for local facilities has potential if regular participation can be acheived.ReferencesBuehler, J., Sonricker, A., Paladini, M., Soper, P., Mostashari, F. (2008), Syndromic Surveillance Practice in the United States: Findings from a Survey of State, Territorial, and Selected Local Health Departments. Advances in Disease Surveillance, 6:3.Enserink, R., Meijer, A., Dijkstra, F., van Benthem, B., van der Steen, J. T., Haenen, A., van Delden, H., Cools, H., van der Sande, M., Veldman-Ariesen, M.-J. and on behalf of the Sentinel Surveillance Network on Infectious Diseases in Nursing Homes Study Group (2011), Absence of Influenza A(H1N1) During Seasonal and Pandemic Seasons in a Sentinel Nursing Home Surveillance Network in the Netherlands. J Am Geriatr Soc, 59: 2301–2305. doi:10.1111/j.1532-5415.2011.03715.xEnserink, R., Noel, H., Friesema, I., de Jager, C., Kooistra-Smid, A., Kortbeek, L., Duizer, E., van der Sande, M., Smit, H., van Pelt, W. (2012), The KIzSS network, a sentinel surveillance system for infectious diseases in day care centers: study protocol. BMC Infectious Diseases, 12:259. doi:10.1186/1471-2334-12-259


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