首页   按字顺浏览 期刊浏览 卷期浏览 The Epidemiology of Adverse and Unexpected Events in the Long‐Term Care Setting
The Epidemiology of Adverse and Unexpected Events in the Long‐Term Care Setting

 

作者: Jerry H. Gurwitz,   Maria T. Sanchez‐Cross,   Marie A. Eckler,   John Matulis,  

 

期刊: Journal of the American Geriatrics Society  (WILEY Available online 1994)
卷期: Volume 42, issue 1  

页码: 33-38

 

ISSN:0002-8614

 

年代: 1994

 

DOI:10.1111/j.1532-5415.1994.tb06070.x

 

出版商: Blackwell Publishing Ltd

 

数据来源: WILEY

 

摘要:

Objective:To describe the adverse and unexpected events reported by staff over a 1‐year period in a large, long‐term care institution.Design:A retrospective review of resident incident reports.Setting:A 703‐bed, academically oriented, long‐term care facility.Patients:Residents of the facility have a mean age of 88.5 years, are 76% female, and have an average length of stay of 4.3 years.Measurements and Main Results:Of the 3,390 adverse and unexpected events reports over the 1‐year study period, falls (with and without associated injury) were the most frequently reported incidents, followed by non‐fall‐related injuries, medication‐related events, and wandering episodes. While a large proportion of falls occurred in ambulating residents (47%), the majority occurred under different circumstances including falls from bed, wheelchair, and commode/toilet. Bruises and skin tears were the most frequently reported fall‐and non‐fall‐related injuries. The annual incidence rates for falls, fall‐related injuries, and non‐fall‐related injuries varied according to resident care unit level, with semi‐dependent residents experiencing the highest rates of falls and dependent residents experiencing the highest rates of non‐fall‐related injuries. Circadian patterns in the incidence of these events varied according to resident care level.Conclusions:Information regarding adverse and unexpected events in the long‐term care setting can be organized into databases that allow analysis of patterns and trends. The results of these analyses may be helpful in targeting limited resources to areas of greatest need within an individual institution and for comparing quality of care across different long‐term care faci

 

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