Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020.

Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020.
复制标题

DOI:
10.1016/j.jamda.2021.02.004
复制
发表时间:
2021-05
影响因子:
7.6
通讯作者:
Jung HY
Jung HY
中科院分区:
医学1区
文献类型:
--
作者:
Ryskina KL;Yun H;Wang H;Chen AT;Jung HY

文献摘要

参考文献

被引文献

相似文献

测量疗养院(NH)特征与NH员工中2019冠状病毒病(COVID-19)患病率之间的关联。回顾性横断面研究。美国疾病控制和预防中心2020年3月至8月期间的COVID-19数据库,与NH设施特征(LTCFocus数据库)和当地COVID-19患病率(USA Facts)相关联。我们估计了NH特征、当地感染率和其他区域特征与每100张病床测量的NH工作人员(护理人员、临床人员、助手和其他设施人员)中COVID-19病例之间的关联,控制了NH所在的医院转诊区域,以考虑当地感染控制措施和其他未观察到的特征。在我们样本中的11,858名NHS中,78.6%报告了至少1例COVID-19员工病例。在考虑当地COVID-19流行率后,确诊居民病例最高四分位数的NHS(每1000名居民413.5至920.0例)报告的每100张病床的工作人员病例比没有居民病例的NHS多18.9例。与小型NH(<50张床位)相比,大型NH(150张或更多床位)报告每100张床位的员工病例减少2.6例,营利性NH报告每100张床位的员工病例减少0.8例。更高的入住率和每天更多的直接护理时间与更多的工作人员病例相关(入住率增加10%,每100张病床增加0.4例病例,每100张病床增加0.7例病例,每个住院日增加1小时的直接护理人员)。与居民人口统计学、支付者组合或区域社会经济特征相关的估计值在统计学上不显著。这些调查结果突出表明,迫切需要为设施提供应急资源,如后备人员和协议,以减少设施内的居民密度,这可能有助于遏制疫情。
To measure the association between nursing home (NH) characteristics and Coronavirus Disease 2019 (COVID-19) prevalence among NH staff. Retrospective cross-sectional study. Centers for Disease Control and Prevention COVID-19 database for US NHs between March and August 2020, linked to NH facility characteristics (LTCFocus database) and local COVID-19 prevalence (USA Facts). We estimated the associations between NH characteristics, local infection rates, and other regional characteristics and COVID-19 cases among NH staff (nursing staff, clinical staff, aides, and other facility personnel) measured per 100 beds, controlling for the hospital referral regions in which NHs were located to account for local infection control practices and other unobserved characteristics. Of the 11,858 NHs in our sample, 78.6% reported at least 1 staff case of COVID-19. After accounting for local COVID-19 prevalence, NHs in the highest quartile of confirmed resident cases (413.5 to 920.0 cases per 1000 residents) reported 18.9 more staff cases per 100 beds compared with NHs that had no resident cases. Large NHs (150 or more beds) reported 2.6 fewer staff cases per 100 beds compared with small NHs (<50 beds) and for-profit NHs reported 0.8 fewer staff cases per 100 beds compared with nonprofit NHs. Higher occupancy and more direct-care hours per day were associated with more staff cases (0.4 more cases per 100 beds for a 10% increase in occupancy, and 0.7 more cases per 100 beds for an increase in direct-care staffing of 1 hour per resident day, respectively). Estimates associated with resident demographics, payer mix, or regional socioeconomic characteristics were not statistically significant. These findings highlight the urgent need to support facilities with emergency resources such as back-up staff and protocols to reduce resident density within the facility, which may help stem outbreaks.
DOI: 10.1016/j.jamda.2020.08.030
发表时间: 2020-11-01
影响因子: 7.6
作者:
Sun, Christopher L. F.;Zuccarelli, Eugenio;Levi, Retsef
通讯作者: Levi, Retsef
DOI: 10.1111/jgs.16661
发表时间: 2020-07-07
影响因子: 6.3
作者:
Abrams, Hannah R.;Loomer, Lacey;Grabowski, David C.
通讯作者: Grabowski, David C.
DOI: 10.1001/jamanetworkopen.2020.26702
发表时间: 2020-10-01
期刊: JAMA network open
影响因子: 13.8
作者:
Braun RT;Yun H;Casalino LP;Myslinski Z;Kuwonza FM;Jung HY;Unruh MA
通讯作者: Unruh MA
DOI: 10.1016/j.scitotenv.2020.141946
发表时间: 2021-01-15
影响因子: 9.8
作者:
Sugg, Margaret M.;Spaulding, Trent J.;Iyer, Lakshmi S.
通讯作者: Iyer, Lakshmi S.
DOI: 10.2307/1912934
发表时间: 1980-01-01
期刊: ECONOMETRICA
影响因子: 6.1
作者:
WHITE, H
通讯作者: WHITE, H