Consistent differences in medical unit fall rates: implications for research and practice.

Consistent differences in medical unit fall rates: implications for research and practice.
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医疗单位跌倒率的一致差异:对研究和实践的影响。

DOI:
10.1111/jgs.13387
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发表时间:
2015
影响因子:
6.3
通讯作者:
Shorr,RonaldI
Shorr,RonaldI
中科院分区:
医学1区
文献类型:
--
作者:
Staggs,VincentS;Mion,LorraineC;Shorr,RonaldI

文献摘要

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ObjectivesTo determine the proportion of variation in long-term fall rates following to deviation between between而不是within hospital units and to identify unit‐ and hospital‐level characteristics associated with persistent low‐ and high‐fall units. Design Retrospective study of administrative data on infectious福尔斯尔斯.根据每月的跌倒率排名,确定了80个低跌倒单位和74个高跌倒单位。比较了这些单位的单位和医院级特征。参加国家护理质量指标数据库的综合医院。护理人员非专科医疗单位(n = 800),连续24个月的福尔斯数据。测量每月自我报告的单位跌倒率(每1,000患者日的福尔斯)。除患者天数外,单位床位大小、低跌倒单位和高跌倒单位的代理人在护士人员配备或任何其他单位或医院特征变量上没有差异。高落差单位的患者数量更高,这表明患者周转率是进一步研究的变量。了解长期跌倒率变化的其他潜在因素可能会导致可持续的干预措施,以减少住院福尔斯。
ObjectivesTo determine the proportion of variation in long‐term fall rates attributable to variability between rather than within hospital units and to identify unit‐ and hospital‐level characteristics associated with persistently low‐ and high‐fall units.DesignRetrospective study of administrative data on inpatient falls. Eighty low‐fall and 74 high‐fall units were identified based on monthly rankings of fall rates. Unit‐ and hospital‐level characteristics of these units were compared.SettingU.S. general hospitals participating in the National Database of Nursing Quality Indicators.ParticipantsNonsubspecialty medical units (n = 800) with 24 consecutive months of falls data.MeasurementsMonthly self‐reported unit fall rates (falls per 1,000 patient‐days).ResultsAn estimated 87% of variation in 24‐month fall rates was due to between‐unit differences. With the exception of patient‐days, a proxy for unit bed size, low‐ and high‐fall units did not differ on nurse staffing or any other unit or hospital characteristic variable.ConclusionThere are medical units with persistently low and persistently high fall rates. High‐fall units had higher patient volume, suggesting patient turnover as a variable for further study. Understanding additional factors underlying variability in long‐term fall rates could lead to sustainable interventions for reducing inpatient falls.