Nursing Home Staff Networks and COVID-19

Chen, M. Keith; Chevalier, Judith A.; Long, Elisa F

doi:10.3386/w27608

Cited by 32 publications

(32 citation statements)

References 8 publications

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“…There are a variety of other applications for bipartite network measures that can potentially capture models of diffusion and infection, for example patterns of staff-sharing across nursing homes leading to rapid diffusion of COVID-19 infections among nursing home patients (Chen et al, 2020). One requires relatively recent data to calculate network structures useful in predicting future behavior, but government agencies should be able to acquire the claims data needed to compute networks of home health care or of other relevant organizations with only a few months lag.…”

Section: Discussionmentioning

confidence: 99%

“…3 By contrast, conventional network measures such as density, transitivity, and betweenness-centrality are unipartite measures that do not directly capture the importance of these bipartite relationships. As a measure of "infection," the bipartite BMIX index could also find applications in other analyses of networks, for example in nursing home employee networks associated with the diffusion of COVID-19 outbreaks (Chen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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The Diffusion of Health Care Fraud: A Network Analysis

O’Malley¹,

Bubolz²,

Skinner³

2021

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Diffusion of Health Care Fraud: A Network Analysis

O’Malley¹,

Bubolz²,

Skinner³

2021

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“…Community spread is increasingly recognized as a driver for COVID-19 introductions into nursing homes, as county infection rate, population density, and the movement of staff between nursing homes have been described as risk factors for outbreaks. 3,19,20 Larger nursing homes had a higher risk of larger outbreaks (i.e., cumulative resident cases >10% of licensed beds) perhaps because they employ more staff, thereby increasing the chance of COVID-19 introduction. This is consistent with existing literature suggesting that larger and more fully occupied facilities were more likely to have COVID-19 cases [3][4][5][6] .…”

Section: Discussionmentioning

confidence: 99%

Short-stay admissions and lower staffing associated with larger COVID-19 outbreaks in Maryland nursing homes

Mattingly¹,

Trinkoff

et al. 2021

Preprint

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Objectives: Identify facility factors associated with a larger COVID-19 outbreak among residents in Maryland nursing homes (NHs). Design: Observational Setting and Participants: All Maryland NHs. Methods: Resident COVID-19 cases were collected for each Maryland NH from January 1, 2020 through July 1, 2020. Cumulative COVID-19 incidence through July 1, 2020 was collected for each county and Baltimore City. Facility characteristics for each Maryland NH were collected from time periods prior to January 1, 2020. NH outbreaks were defined as larger when total resident COVID-19 cases exceeded 10% of licensed beds. Descriptive and multivariable analyses were conducted to assess the strongest predictors for the primary outcome of larger COVID-19 outbreak. Results: NHs located in counties with high cumulative incidence of COVID-19 were more likely to have larger outbreaks (OR 4.5, 95% CI 2.3-8.7, p<0.01). NHs with at least 100 beds were more likely to have larger outbreaks, especially among facilities with >140 licensed beds (100-140 beds vs <100 beds: OR 1.9, 95% CI 0.9-4.1, p=0.09; >140 beds vs <100 beds: OR 2.9, 95% CI 1.3-6.1, p<0.01). NHs with more short-stay residents (OR 2.2, 95% CI 1.1-4.8, p=0.04) or fewer Certified Nursing Assistant hours daily (OR 2.6, 95% CI 1.3-5.3, p<0.01) also were more likely to have larger outbreaks. Resident race and gender were not significant predictors of larger outbreaks after adjustment for other factors. Conclusions: Large NHs with lower staffing levels and many short-stay residents in counties with high COVID-19 incidence were at increased risk for COVID-19 outbreaks. Understanding the characteristics of nursing homes associated with larger outbreaks can help us prepare for the next pandemic.

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“…However, the staff cases did not lead to an adequate N95 and surgical mask supply. Such unclear linkage between staff cases and a sufficient mask supply put the control of COVID-19 at risk, given that staff health played a vital role (Chen et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Exploring the N95 and Surgical Mask Supply in U.S. Nursing Homes During COVID-19

Fang

2020

J Appl Gerontol

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U.S. health care facilities have been encountering a recurrence of medical supply shortage since COVID-19 exploded in March 2020. There is an urgent need for important Personal Protective Equipment (PPE) such as N95 and surgical masks. This project examined the factors that were associated with nursing homes’ N95 and surgical mask supply. We analyzed data from the Nursing Home COVID-19 Public File and conducted a multivariate logistic regression estimating the association between nursing home characteristics and county-level demographic parameters with mask supply. We found that a high number of resident COVID-19 cases contributed to the supply of N95, but not surgical masks, whereas a high number of staff cases did not lead to an adequate supply of either N95 or surgical masks. Compared with not-for-profit (NFP) facilities, for-profit (FP) nursing homes were less likely to get enough masks. A better supply distribution plan is needed to prepare for future possible PPE shortage.

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Nursing Home Staff Networks and COVID-19

Cited by 32 publications

References 8 publications

The Diffusion of Health Care Fraud: A Network Analysis

The Diffusion of Health Care Fraud: A Network Analysis

Short-stay admissions and lower staffing associated with larger COVID-19 outbreaks in Maryland nursing homes

Exploring the N95 and Surgical Mask Supply in U.S. Nursing Homes During COVID-19

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