Effect of Hurricane Irma on daily direct-care nurse staffing in nursing homes

Enhancing primary healthcare nurses' preparedness for climate-induced extreme weather events

BACKGROUND

Climate Change is causing frequent and sever extreme weather events globally, impacting human health and well-being. Primary healthcare (PHC) nurses' are at the forefront of addressing these challenges and must be prepared.

PURPOSE

This scoping revieww explored literature on the preparedness of the PHC nursing workforce for extreme weather events and identify gaps in knowledge and practice.

METHODS

Using Arksey and O'Malley's framework, a comprehensive search was conducted across PubMed, Scopus, CINHAL, Web of Sciences, and ProQuest, on studies from 2014-2024, addressing PHC nurses' preparedness.

DISCUSSION

Nine studies were identified and highlighted a need for preparedness training and facility-based preparedness plans. Key themes included prioritizing regional networks, clinical leadership, service delivery, health information, health workforce, medical products and technologies, and financing.

CONCLUSION

Strengthening PHC nurses' resilience against extreme weather requires targeted professional development, mental health support, comprehensive planning, and collaborative efforts. Future strategies should enhance PHC nurses' capacity through training, support, and policy development.

Evacuation and Health Care Outcomes Among Assisted Living Residents After Hurricane Irma

Importance

Evacuation has been found to be associated with adverse outcomes among nursing home residents during hurricanes, but the outcomes for assisted living (AL) residents remain unknown.

Objective

To examine the association between evacuation and health care outcomes (ie, emergency department visits, hospitalizations, mortality, and nursing home visits) among Florida AL residents exposed to Hurricane Irma.

Design, Setting, and Participants

Retrospective cohort study using 2017 Medicare claims data. Participants were a cohort of Florida AL residents who were aged 65 years or older, enrolled in Medicare fee-for-service, and resided in 9-digit zip codes corresponding to US assisted living communities with 25 or more beds on September 10, 2017, the day of Hurricane Irma's landfall. Propensity score matching was used to match evacuated residents to those that sheltered-in-place based on resident and AL characteristics. Data were analyzed from September 2022 to February 2024.

Exposure

Whether the AL community evacuated or sheltered-in-place before Hurricane Irma made landfall.

Main Outcomes and Measures

Thirty- and 90-day emergency department visits, hospitalizations, mortality, and nursing home admissions.

Results

The study cohort included 25 130 Florida AL residents (mean [SD] age 81 [9] years); 3402 (13.5%) evacuated and 21 728 (86.5%) did not evacuate. The evacuated group had 2223 women (65.3%), and the group that sheltered-in-place had 14 556 women (67.0%). In the evacuated group, 42 residents (1.2%) were Black, 93 (2.7%) were Hispanic, and 3225 (94.8%) were White. In the group that sheltered in place, 490 residents (2.3%) were Black, 707 (3.3%) were Hispanic, and 20 212 (93.0%) were White. After 1:4 propensity score matching, when compared with sheltering-in-place, evacuation was associated with a 16% greater odds of emergency department visits (adjusted odds ratio [AOR], 1.16; 95% CI, 1.01-1.33; P = .04) and 51% greater odds of nursing home visits (AOR, 1.51; 95% CI, 1.14-2.00; P = .01) within 30 days of Hurricane Irma's landfall. Hospitalization and mortality did not vary significantly by evacuation status within 30 or 90 days after the landfall date.

Conclusions and Relevance

In this cohort study of Florida AL residents, there was an increased risk of nursing home and emergency department visits within 30 days of Hurricane Irma's landfall among residents from communities that evacuated before the storm when compared with residents from communities that sheltered-in-place. The stress and disruption caused by evacuation may yield poorer immediate health outcomes after a major storm for AL residents. Therefore, the potential benefits and harms of evacuating vs sheltering-in-place must be carefully considered when developing emergency planning and response.

Winter Storm Uri Reduced Availability of Daily Direct-Care Nurse Staff in Texas Nursing Homes

We examined the effect of Winter Storm Uri on daily direct-care nurse staffing levels in 1,173 Texas nursing homes (NHs) from February 13th to 19th, 2021. We used data from Payroll-Based Journaling and the Care Compare website. Linear mixed effects models were used to estimate the linear and non-linear change in staffing. During Winter Storm Uri, Texas NHs experienced a linear decrease in daily staffing levels with subsequent non-linear increase for registered nurses (RNs; p < .001) and certified nursing assistants (CNAs; p < .001), and staffing increased linearly for licensed practical nurses (LPNs; p < .001). Compared to 1 week before the storm, Texas NHs reported lower staffing levels across all three types of staff, but most dramatically among LPNs and CNAs. In supplemental analyses, urban and lower quality NHs fared slightly poorer than rural and higher-quality NHs. Winter storms pose a particular challenge to NHs and their ability to maintain direct-care nurse staffing levels.

Protecting nursing home residents in disasters: The urgent need for a new approach amid mounting climate warnings

This editorial comments on the articles by Festa et al. and Hua et al. in this issue.

A GIS enhanced data analytics approach for predicting nursing home hurricane evacuation response

Nursing homes (NHs) are responsible for caring for frail, older adults, who are highly vulnerable to natural disasters, such as hurricanes. Due to the influence of highly uncertain environmental conditions and varied NH characteristics (e.g., geo-location, staffing, residents' health conditions), the NH evacuation response, namely evacuating or sheltering-in-place, is highly uncertain. Accurate prediction of NH evacuation response is important for emergency management agencies to accurately anticipate the NH evacuation demand surge with healthcare resources proactively planned. Existing hurricane evacuation research mainly focuses on the general population. For NH evacuation, existing studies mainly focus on conceptual studies and/or qualitative analysis using a single source of data, such as surveys or resident health data. There is a lack of research to develop analytics-based method by fusing rich environmental data with NH data to improve the prediction accuracy. In this paper, we propose a Geographic Information System (GIS) data enhanced predictive analytics approach for forecasting NH evacuation response by fusing multi-source data related to storm conditions, geographical information, NH organizational characteristics as well as staffing and residents characteristics of each NH. In particular, multiple GIS features, such as distance to storm trajectory, projected wind speed, potential storm surge and NH elevation, are extracted from rich GIS information and incorporated to improve the prediction performance. A real-world case study of NH evacuation during Hurricane Irma in 2017 is examined to demonstrate superior prediction performance of the proposed work over a large number of predictive analytics methods without GIS information.

Nursing Home Compare Star Rating and Daily Direct-Care Nurse Staffing During Hurricane Irma

OBJECTIVES

Nursing homes (NHs) are affected by major hurricanes and other natural disasters. To mitigate adverse effects of a major hurricane, NHs often increase their direct-care nurse staffing levels to meet the needs of their residents. However, the quality rating of the NH may affect the resources available to obtain and retain staff. This data brief provides estimates of direct-care nurse staffing levels by quality star rating during Hurricane Irma.

DESIGN

Retrospective cohort study from September 3, 2017, to September 10, 2017.

SETTING AND PARTICIPANTS

570 Florida NHs that sheltered in place during Hurricane Irma.

METHODS

We stratified NHs by their NH Compare overall quality star rating and then measured change in direct-care nurse staffing levels for registered nurses, licensed practical nurses, and certified nursing assistants.

RESULTS

We found that the NH Compare overall star rating was positively associated with a greater staffing level response during Hurricane Irma among registered nurses, licensed practical nurses, and certified nursing assistants. This change was largest for 5-star facilities and smallest for 1-star facilities.

CONCLUSIONS AND IMPLICATIONS

Higher-quality NHs may be more responsive and have the resources to be more responsive, to increased needs during a natural disaster. Our findings may serve as a platform for ongoing discussion on the role of the federal, state, and local governments in ensuring minimum staffing standards during natural disasters.

"You Just Forge Ahead": The Continuing Challenges of Disaster Preparedness and Response in Long-Term Care

BACKGROUND AND OBJECTIVES

Protecting nursing home and assisted living community residents during disasters continues to be a challenge. The present study explores the experiences of long-term care facilities in Florida that were exposed to Hurricane Irma in 2017.

RESEARCH DESIGN AND METHODS

We used an abductive approach, combining induction and deduction. Interviews and focus groups beginning in May 2018 were conducted by telephone and in person with 89 administrative staff members representing 100 facilities (30 nursing homes and 70 assisted living communities). Analyses identified themes and subthemes. Findings were further analyzed using the social ecological model to better understand the preparedness and response of nursing homes and assisted living communities to Hurricane Irma.

RESULTS

3 main themes were identified including: (1) importance of collaborative relationships in anticipating needs and planning to shelter in place or evacuate; (2) efforts required to maintain safety and stability during an unprecedented event; and (3) effects, repercussions, and recommendations for change following the disaster.

DISCUSSION AND IMPLICATIONS

Preparing for and managing disasters in nursing homes and assisted living communities involves actions within multiple environments beyond the residents and facilities where they live. Among these, community-level relationships are critical.