PDF(Pubmed)
Abstract：
UNASSIGNED: This study aimed to characterize the epidemiology of scabies and its outbreaks in Japanese households, residential care facilities (RCFs), and hospitals using claims data.
UNASSIGNED: This descriptive epidemiological study was conducted using claims data from eight municipalities in Japan. Scabies cases were identified using a combination of recorded diagnoses and administered medications. The study period was from April 2015 to March 2019. Outbreaks were defined as ≥2 cases of scabies occurring within a calendar month at a single household, RCF, or hospital.
UNASSIGNED: We identified 857 scabies cases for analysis. The annual prevalence of scabies ranged from 40 to 67 per 100,000 beneficiaries. The annual attack rate of scabies was found to be highest in RCFs (21 per 1000 RCFs), followed by hospitals (11 per 1000 hospitals) and households (0.25 per 1000 households). The annual outbreak attack rate was also highest in RCFs (4.0 per 1000 RCFs), followed by hospitals (1.6 per 1000 hospitals) and household (0.027 per household). The patterns of outbreaks varied widely among the RCFs.
UNASSIGNED: The study showcases the potential of claims data for detecting infectious disease outbreaks, which could provide valuable insight for the future management and prevention of scabies. Infection control of scabies in RCFs is crucial in aging societies.
UNASSIGNED: This descriptive epidemiological study was conducted using claims data from eight municipalities in Japan. Scabies cases were identified using a combination of recorded diagnoses and administered medications. The study period was from April 2015 to March 2019. Outbreaks were defined as ≥2 cases of scabies occurring within a calendar month at a single household, RCF, or hospital.
UNASSIGNED: We identified 857 scabies cases for analysis. The annual prevalence of scabies ranged from 40 to 67 per 100,000 beneficiaries. The annual attack rate of scabies was found to be highest in RCFs (21 per 1000 RCFs), followed by hospitals (11 per 1000 hospitals) and households (0.25 per 1000 households). The annual outbreak attack rate was also highest in RCFs (4.0 per 1000 RCFs), followed by hospitals (1.6 per 1000 hospitals) and household (0.027 per household). The patterns of outbreaks varied widely among the RCFs.
UNASSIGNED: The study showcases the potential of claims data for detecting infectious disease outbreaks, which could provide valuable insight for the future management and prevention of scabies. Infection control of scabies in RCFs is crucial in aging societies.
摘要：
■这项研究旨在描述日本家庭中sc疮及其暴发的流行病学特征，住宅护理设施(RCF)，和使用索赔数据的医院。
■这项描述性流行病学研究是使用来自日本八个城市的索赔数据进行的。使用记录的诊断和施用的药物的组合来识别the疮病例。研究期为2015年4月至2019年3月。疫情定义为一个家庭在一个日历月内发生≥2例sc疮，RCF,或医院。
■我们确定了857例sc疮病例进行分析。sc疮的年患病率为每100,000个受益人40至67个。在RCF中，sc疮的年发作率最高（每1000RCF中有21例），其次是医院(每1000家医院11家)和家庭(每1000家家庭0.25家)。RCF的年度爆发攻击率也最高（每1000RCF4.0），其次是医院(每1000家医院1.6家)和家庭(每户0.027家)。RCF之间的爆发模式差异很大。
■该研究展示了索赔数据在检测传染病暴发方面的潜力，这可以为未来的管理和预防of疮提供有价值的见解。RCF中sc疮的感染控制在老龄化社会中至关重要。
■这项描述性流行病学研究是使用来自日本八个城市的索赔数据进行的。使用记录的诊断和施用的药物的组合来识别the疮病例。研究期为2015年4月至2019年3月。疫情定义为一个家庭在一个日历月内发生≥2例sc疮，RCF,或医院。
■我们确定了857例sc疮病例进行分析。sc疮的年患病率为每100,000个受益人40至67个。在RCF中，sc疮的年发作率最高（每1000RCF中有21例），其次是医院(每1000家医院11家)和家庭(每1000家家庭0.25家)。RCF的年度爆发攻击率也最高（每1000RCF4.0），其次是医院(每1000家医院1.6家)和家庭(每户0.027家)。RCF之间的爆发模式差异很大。
■该研究展示了索赔数据在检测传染病暴发方面的潜力，这可以为未来的管理和预防of疮提供有价值的见解。RCF中sc疮的感染控制在老龄化社会中至关重要。
