Experiment of surveillance for long-term care facilities for elderly people
DOI:
https://doi.org/10.51094/jxiv.79キーワード:
COVID-19、 information sharing、 long-term care facility for elderly people、 situation awareness、 surveillance抄録
Background: Long-term care facilities for elderly people have been vulnerable to COVID-19 outbreaks.
Object: We examined construction of a surveillance system to share information about facilities for elderly people with physicians, commissioned doctors, public health centers, and other nearby facilities. Then we operated the system as an experiment.
Method: We constructed the system and operated it at two facilities for more than three months. Especially, information sharing among commissioned doctors, local governments, public health centers, and medical associations was included in the system. Moreover, community situation awareness was done by including neighboring facilities, (nursery) schools, and prescriptions from other but similar surveillance systems.
Results: We constructed the system, operated it, and confirmed its feasibility for data entry at facilities. However, real time information sharing has not been activated because of the scarcity of corporate facilities. Moreover, situational awareness in the community has been developed using information from other systems.
Discussion: Experiments including a larger number of facilities with real-time information sharing represents an urgent challenge.
ダウンロード *前日までの集計結果を表示します
引用文献
. Kariya N, Sakon N, Komano J, Tomono K, Iso H. Current prevention and control of health care-associated infections in long-term care facilities for the elderly in Japan. J Infect Chemother 2018,24:347-52.
. Smith PW, Rusnak PG. APIC guideline for infection prevention and control in the long-term care facility. Am J Infect Control 1991,19 :198-215
. Shimizu K, Maeda H, Sando E, Fujita A, Tashiro M, Tanaka T, Izumikawa K, Motomura K, Morimoto K. Epidemiology of SARS-CoV-2 infection in nursing facilities and the impact of their clusters in a Japanese core city. J Infect Chemother 2022 ;28:955-61.
. Vijh R, Ng CH, Shirmaleki M, Bharmal A., Factors associated with transmission of COVID-19 in long-term care facility outbreaks. J Hosp Infect 2022;119:118-25.
. Konetzka RT, White EM, Pralea A, Grabowski DC, Mor V. A systematic review of long-term care facility characteristics associated with COVID-19 outcomes. J Am Geriatr Soc 2021.69:2766-77
. Dykgraaf SJ, Matenge S, Desborough J, Sturgiss E, Dut G, Roberts L, McMillan A, Kidd M. Protecting Nursing Homes and Long-Term Care Facilities From COVID-19: A Rapid Review of International Evidence. J Am Med Dir Asso. 2021.22:1969-88.
. Kurita J, Sugawara T, Ohkusa Y.Pathogenicity of the omicron variant strain comparison with delta variant strain and seasonal influenza in Japan. https://jxiv.jst.go.jp/index.php/jxiv/preprint/view/59
. Schmidt WP, Pebody R, Mangtani P: School absence data for influenza surveillance: a pilot study in the United Kingdom, Eurosurveillance 2010 ;15:19467
. Calvin K.Y. Cheng, Benjamin J. Cowling, Eric H.Y. Lau, Lai Ming Ho, Gabriel M. Leung, and Dennis K.M. Ip, Electronic School Absenteeism Monitoring and Influenza Surveillance, Hong Kong, Emerg Infect Dis 2012 ;18:885-7.
. Besculides M, Heffernan R, Mostashari F, Weiss D.:Evaluation of school absenteeism data for early outbreak detection, New York City. BMC Public Health 2005;5:105.
. Kurita J, Nagasu N, Nagata N, Okuno H, Sugawara, Ohkusa Y. Outbreak of Human Metapneumovirus in Ibaraki, Japan and Its Descriptive Epidemiology, Health 2018; 10:Article ID:85348.
. Kurita J, Sugawara T, Matsumoto K, Nakamura Y, Ohkusa Y. Association among (Nursery) School Absenteeism Surveillance System and Incidence of Infectious Diseases, School Health 2018;14:21-7.
. Kurita J, Nagasu N, Nagata N, Sakurai N, Ohkusa Y, Sugawara T. Descriptive Epidemiology for Mycoplasma pneumoniae Infection Using (Nursery) School Absenteeism Surveillance System, and Proposal for Countermeasures. Journal of Biosciences and Medicines 2018.6;33-42.
. Sugishita Y, Sugawara T, Ohkusa Y. Association of influenza outbreak in each nursery school and community in a ward in Tokyo, Japan. J Infect Chemother 2019; 25:695-701.
. Tanabe Y, Kurita J, Nagasu N, Sugawara T, Ohkusa Y. Infection Control in Nursery Schools and Schools Using a School Absenteeism Surveillance System, Tohoku J Exp Med, 2019, 247:173-8.
. Kurita J, Sugawara T, Matsumoto K. Ohkusa Y. Cost-Effectiveness Analysis of (Nursery) School Absenteeism Surveillance System, Pediatric International 2019, 61, 1257-60.
. Hutwagner L, Thompson W, Seeman GM, Treadwell T. The Bioterrorism Preparedness and Response Early Aberration Reporting System (EARS). J Urban Health 2003;80:i89-i96.
. Hutwagner L, Browne T, Seeman GM, Fleischauer AT. Comparing Aberration Detection Methods with Simulated Data. Emerg Infect Dis. 2005;11:314-6.
. Heudorf U, Schulte D. Surveillance of nosocomial infections in a long-term care facility. Incidence and risk factors. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2009;52:732-43. (in Germany)
. Sugawara T, Ohkusa Y, Kamei M. Effect of the Routine Varicella Immunization on Herpes Zoster in Japan in the First Half of the Year, Journal of Biosciences and Medicines 2018; 6:30-6.
. Sugawara T, Ohkusa Y, Kawanohara H, Kamei M. Short Term Prediction of Infectious Diseases Patients from Prescription Surveillance. Journal of Biosciences and Medicines 2018; 6: 61-8.
. Ohkusa Y, Sugawara T, Kawanohara H, Kamei M. Evaluation of the global action plan on antimicrobial resistance in Japan during its first eighteen months. Drug Discov Ther 2018; 12:182-4.
. Sugawara T, Ohkusa Y, Kawanohara H, Kamei M. Prescription surveillance for early detection system of emerging and reemerging infectious disease outbreaks. Biosci Trends 2018;12:523-5.
ダウンロード
公開済
投稿日時: 2022-05-30 08:39:39 UTC
公開日時: 2022-06-01 08:29:50 UTC
ライセンス
Copyright（c）2022
Kurita, Junko
Tamie Sugawara
Yasushi Ohkusa
Naomi Sakurai
この作品は、Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licenseの下でライセンスされています。
