Literature DB >> 33408208

Compress the curve: a cross-sectional study of variations in COVID-19 infections across California nursing homes.

Ram Gopal1, Xu Han2, Niam Yaraghi3,4.   

Abstract

OBJECTIVE: Nursing homes' residents and staff constitute the largest proportion of the fatalities associated with COVID-19 epidemic. Although there is a significant variation in COVID-19 outbreaks among the US nursing homes, we still do not know why such outbreaks are larger and more likely in some nursing homes than others. This research aims to understand why some nursing homes are more susceptible to larger COVID-19 outbreaks.
DESIGN: Observational study of all nursing homes in the state of California until 1 May 2020.
SETTING: The state of California. PARTICIPANTS: 713 long-term care facilities in the state of California that participate in public reporting of COVID-19 infections as of 1 May 2020 and their infections data could be matched with data on ratings and governance features of nursing homes provided by Centers for Medicare & Medicaid Services (CMS). MAIN OUTCOME MEASURE: The number of reported COVID-19 infections among staff and residents.
RESULTS: Study sample included 713 nursing homes. The size of outbreaks among residents in for-profit nursing homes is 12.7 times larger than their non-profit counterparts (log count=2.54; 95% CI, 1.97 to 3.11; p<0.001). Higher ratings in CMS-reported health inspections are associated with lower number of infections among both staff (log count=-0.19; 95% CI, -0.37 to -0.01; p=0.05) and residents (log count=-0.20; 95% CI, -0.27 to -0.14; p<0.001). Nursing homes with higher discrepancy between their CMS-reported and self-reported ratings have higher number of infections among their staff (log count=0.41; 95% CI, 0.31 to 0.51; p<0.001) and residents (log count=0.13; 95% CI, 0.08 to 0.18; p<0.001).
CONCLUSIONS: The size of COVID-19 outbreaks in nursing homes is associated with their ratings and governance features. To prepare for the possible next waves of COVID-19 epidemic, policy makers should use these insights to identify the nursing homes who are more likely to experience large outbreaks. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  COVID-19; geriatric medicine; health policy

Year:  2021        PMID: 33408208     DOI: 10.1136/bmjopen-2020-042804

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  6 in total

1.  Association between nursing home staff turnover and infection control citations.

Authors:  Lacey Loomer; David C Grabowski; Huizi Yu; Ashvin Gandhi
Journal:  Health Serv Res       Date:  2021-09-21       Impact factor: 3.402

2.  Risk Factors Associated with Nursing Home COVID-19 Outbreaks: A Retrospective Cohort Study.

Authors:  Lucia Cazzoletti; Maria Elisabetta Zanolin; Ilaria Tocco Tussardi; Mulubirhan Assefa Alemayohu; Ernesto Zanetel; Donatella Visentin; Luca Fabbri; Massimo Giordani; Giancarlo Ruscitti; Pier Paolo Benetollo; Stefano Tardivo; Emanuele Torri
Journal:  Int J Environ Res Public Health       Date:  2021-08-10       Impact factor: 3.390

3.  COVID-19 outbreaks in nursing homes: A strong link with the coronavirus spread in the surrounding population, France, March to July 2020.

Authors:  Muriel Rabilloud; Benjamin Riche; Jean François Etard; Mad-Hélénie Elsensohn; Nicolas Voirin; Thomas Bénet; Jean Iwaz; René Ecochard; Philippe Vanhems
Journal:  PLoS One       Date:  2022-01-07       Impact factor: 3.240

4.  Managing the Impact of COVID-19 in Nursing Homes and Long-Term Care Facilities: An Update.

Authors:  Adam H Dyer; Aoife Fallon; Claire Noonan; Helena Dolphin; Cliona O'Farrelly; Nollaig M Bourke; Desmond O'Neill; Sean P Kennelly
Journal:  J Am Med Dir Assoc       Date:  2022-07-04       Impact factor: 7.802

5.  COVID-19 in French nursing homes during the second pandemic wave: a mixed-methods cross-sectional study.

Authors:  Morgane Dujmovic; Thomas Roederer; Severine Frison; Carla Melki; Thomas Lauvin; Emmanuel Grellety
Journal:  BMJ Open       Date:  2022-09-20       Impact factor: 3.006

6.  Reducing Morbidity and Mortality Rates from COVID-19, Influenza and Pneumococcal Illness in Nursing Homes and Long-Term Care Facilities by Vaccination and Comprehensive Infection Control Interventions.

Authors:  Roger E Thomas
Journal:  Geriatrics (Basel)       Date:  2021-05-08
  6 in total

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