COVID-19 and long-term care facilities: Does ownership matter?

Multi-Level Factors Associated with Relationship-Centred and Task-Focused Mealtime Practices in Long-Term Care: A Secondary Data Analysis of the Making the Most of Mealtimes Study

Mealtimes in long-term care (LTC) can reinforce relationships between staff and residents through relationship-centred care (RCC) practices; however, meals are often task-focused (TF). This cross-sectional study explores multi-level contextual factors that contribute to RCC and TF mealtime practices. Secondary data from residents in 32 Canadian LTC homes were analyzed (n = 634; mean age 86.7 ± 7.8; 31.1% male). Data included resident health record review, standardized mealtime observation tools, and valid questionnaires. A higher average number of RCC (9.6 ± 1.4) than TF (5.6 ± 2.1) practices per meal were observed. Multi-level regression revealed that a significant proportion of variation in the RCC and TF scores was explained at the resident- (intraclass correlation coefficient [ICC]RCC = 0.736; ICCTF = 0.482), dining room- (ICCRCC = 0.210; ICCTF = 0.162), and home- (ICCRCC = 0.054; ICCTF = 0.356) levels. For-profit status and home size modified the associations between functional dependency and practices. Addressing multi-level factors can reinforce RCC practices and reduce TF practices.

Enhancing the use of technology in the long-term care sector in Canada: Insights from citizen panels and a national stakeholder dialogue

Enhancing the use of technology in long-term care has been identified as a key part of broader efforts to strengthen the sector in the wake of the COVID-19 pandemic. To inform such efforts, we convened a series of citizen panels, followed by a national stakeholder dialogue with system leaders focused on reimagining the long-term care sector using technology. Key actions prioritized through the deliberations convened included: developing an innovation roadmap/agenda (including national standards and guidelines); using co-design approaches for the strengthening the long-term care sector and for technological innovation; identifying and coordinating existing innovation projects to support scale and spread; enabling rapid-learning and improvement cycles to support the development, evaluation, and implementation of new technologies; and using funding models that enable the flexibility needed for such rapid-learning cycles.

The Impact of Long-Term Care Home Ownership and Administration Type on All-Cause Mortality from March to April 2020 in Madrid, Spain

Our aim is to assess whether long-term care home (LTCH) ownership and administration type were associated with all-cause mortality in 470 LTCHs in the Community of Madrid (Spain) during March and April 2020, the first two months of the COVID-19 pandemic. There are eight categories of LTCH type, including various combinations of ownership type (for-profit, nonprofit, and public) and administration type (completely private, private with places rented by the public sector, administrative management by procurement, and completely public). Multilevel regression was used to examine the association between mortality and LTCH type, adjusting for LTCH size, the spread of the COVID-19 infection, and the referral hospital. There were 9468 deaths, a mortality rate of 18.3%. Public and private LTCHs had lower mortality than LTCHs under public-private partnership (PPP) agreements. In the fully adjusted model, mortality was 7.4% (95% CI, 3.1-11.7%) in totally public LTCHs compared with 21.9% (95% CI, 17.4-26.4%) in LTCHs which were publicly owned with administrative management by procurement. These results are a testimony to the fatal consequences that pre-pandemic public-private partnerships in long-term residential care led to during the first months of the COVID-19 pandemic in the Community of Madrid, Spain.

Staffing Levels and COVID-19 Infections and Deaths in Korean Nursing Homes

The novel coronavirus disease 2019 (COVID-19) spread rapidly worldwide. Nursing home (NH) residents are the most vulnerable high-risk population to infection. Professional registered nurses' (RNs') infection control is irreplaceable. We used a secondary data analysis method using the government's senior citizen welfare department large data set about all NHs (N = 3,389) across Korea between January 20 and October 20, 2020. Bed size positively associated with the mortality rate (No. of COVID-19 resident deaths / No. of total residents) (p = .048). When the proportion of RNs to total nursing staff was higher, the infection rate was 0.626% lower (p = .049), the mortality rate was 0.088% lower (p = .076), the proportion of confirmed COVID-19 cases per resident out of the total number of NHs was 44.472% lower (p = .041), and the proportion of confirmed COVID-19 deaths per resident out of the total number of NHs was 6.456% lower (p = .055). This study highlighted nurse staffing criteria and suggests that increasing RNs in NHs will reduce infection and mortality rates during the COVID-19 pandemic. We strongly suggest NHs hire at least one RN per day to properly function, and a minimum of four RNs to provide a fully competent RN workforce in long-term care settings in Korean NHs.

The contemporary crisis of hallway healthcare: Implications of neoliberal health policy on the rise of emergency overcrowding

The provision of hallway healthcare is a growing concern within contemporary healthcare systems. Hallway healthcare or hallway medicine is defined as the use of unconventional spaces, such as hallways, to provide patient care in the acute care setting. Negative effects associated with the prevalence of hallway healthcare may hinder the healing trajectory of vulnerable and ageing populations. Nurses have an intimate role in the provision of care and can offer valuable insight for the advocacy of high quality and safe patient care. Moreover, hallway healthcare is associated with the development of suboptimal working conditions that have resulted in negative impacts on the nursing profession. The authors seek to better understand the occurrence of this phenomenon by exploring the development of healthcare policies in relation to the neoliberal tenets of, individualism, free market via deregulation and privatization, and decentralization. This article provides an analysis of the historical evolution of hallway healthcare and neoliberalism. Furthermore, the authors aim to explore and demonstrate how the COVID-19 pandemic has shed light on the inefficiency of neoliberalism ideologies for healthcare. Based on the analysis, the authors shall provide suggestions for nurses and stakeholders to enact meaningful change in an international context.

Protecting Nursing Homes and Long-Term Care Facilities From COVID-19: A Rapid Review of International Evidence

OBJECTIVES

The COVID-19 pandemic has highlighted the extreme vulnerability of older people and other individuals who reside in long-term care, creating an urgent need for evidence-based policy that can adequately protect these community members. This study aimed to provide synthesized evidence to support policy decision making.

DESIGN

Rapid narrative review investigating strategies that have prevented or mitigated SARS-CoV-2 transmission in long-term care.

SETTING AND PARTICIPANTS

Residents and staff in care settings such as nursing homes and long-term care facilities.

METHODS

PubMed/Medline, Cochrane Library, and Scopus were systematically searched, with studies describing potentially effective strategies included. Studies were excluded if they did not report empirical evidence (eg, commentaries and consensus guidelines). Study quality was appraised on the basis of study design; data were extracted from published reports and synthesized narratively using tabulated data extracts and summary tables.

RESULTS

Searches yielded 713 articles; 80 papers describing 77 studies were included. Most studies were observational, with no randomized controlled trials identified. Intervention studies provided strong support for widespread surveillance, early identification and response, and rigorous infection prevention and control measures. Symptom- or temperature-based screening and single point-prevalence testing were found to be ineffective, and serial universal testing of residents and staff was considered crucial. Attention to ventilation and environmental management, digital health applications, and acute sector support were also considered beneficial although evidence for effectiveness was lacking. In observational studies, staff represented substantial transmission risk and workforce management strategies were important components of pandemic response. Higher-performing facilities with less crowding and higher nurse staffing ratios had reduced transmission rates. Outbreak investigations suggested that facility-level leadership, intersectoral collaboration, and policy that facilitated access to critical resources were all significant enablers of success.

CONCLUSIONS AND IMPLICATIONS

High-quality evidence of effectiveness in protecting LTCFs from COVID-19 was limited at the time of this study, though it continues to emerge. Despite widespread COVID-19 vaccination programs in many countries, continuing prevention and mitigation measures may be required to protect vulnerable long-term care residents from COVID-19 and other infectious diseases. This rapid review summarizes current evidence regarding strategies that may be effective.

Comparison of Medication Prescribing Before and After the COVID-19 Pandemic Among Nursing Home Residents in Ontario, Canada

Importance

COVID-19 has had devastating effects on the health and well-being of older adult residents and health care professionals in nursing homes. Uncertainty about the associated consequences of these adverse effects on the use of medications common to this care setting remains.

Objective

To examine the association between the COVID-19 pandemic and prescription medication changes among nursing home residents.

Design, Setting, and Participants

This population-based cohort study with an interrupted time-series analysis used linked health administrative data bases for residents of all nursing homes (N = 630) in Ontario, Canada. During the observation period, residents were divided into consecutive weekly cohorts. The first observation week was March 5 to 11, 2017; the last observation week was September 20 to 26, 2020.

Exposures

Onset of the COVID-19 pandemic on March 1, 2020.

Main Outcomes and Measures

Weekly proportion of residents dispensed antipsychotics, benzodiazepines, antidepressants, anticonvulsants, opioids, antibiotics, angiotensin receptor blockers (ARBs), and angiotensin-converting enzyme (ACE) inhibitors. Autoregressive integrated moving average models with step and ramp intervention functions tested for level and slope changes in weekly medication use after the onset of the pandemic and were fit on prepandemic data for projected trends.

Results

Across study years, the annual cohort size ranged from 75 850 to 76 549 residents (mean [SD] age, 83.4 [10.8] years; mean proportion of women, 68.9%). A significant increased slope change in the weekly proportion of residents who were dispensed antipsychotics (parameter estimate [β] = 0.051; standard error [SE] = 0.010; P < .001), benzodiazepines (β = 0.026; SE = 0.003; P < .001), antidepressants (β = 0.046; SE = 0.013; P < .001), trazodone hydrochloride (β = 0.033; SE = 0.010; P < .001), anticonvulsants (β = 0.014; SE = 0.006; P = .03), and opioids (β = 0.038; SE = 0.007; P < .001) was observed. The absolute difference in observed vs estimated use in the last week of the pandemic period ranged from 0.48% (for anticonvulsants) to 1.52% (for antipsychotics). No significant level or slope changes were found for antibiotics, ARBs, or ACE inhibitors.

Conclusions and Relevance

In this population-based cohort study, statistically significant increases in the use of antipsychotics, benzodiazepines, antidepressants, anticonvulsants, and opioids followed the onset of the COVID-19 pandemic, although absolute differences were small. There were no significant changes for antibiotics, ARBs, or ACE inhibitors. Studies are needed to monitor whether changes in pharmacotherapy persist, regress, or accelerate during the course of the pandemic and how these changes affect resident-level outcomes.

'Bare-bones' to 'silver linings': lessons on integrating a palliative approach to care in long-term care in Western Canada

Background

‘Whole-person’ palliative approaches to care (PAC) are important for enhancing the quality of life of residents with life-limiting conditions in long-term care (LTC). This research is part of a larger, four province study, the ‘SALTY (Seniors Adding Life to Years)’ project to address quality of care in later life.

A Quality Improvement (QI) project to integrate a PAC (PAC-QI) in LTC was implemented in Western Canada in four diverse facilities that varied in terms of ownership, leadership models, bed size and geography. Two palliative ‘link nurses’ were hired for 1 day a week at each site over a two-year time frame to facilitate a PAC and support education and training.

This paper evaluates the challenges with embedding the PAC-QI into LTC, from the perspectives of the direct care, or front-line team members. Sixteen focus groups were undertaken with 80 front-line workers who were predominantly RNs/LPNs (n = 25), or Health Care Aides (HCAs; n = 32). A total of 23 other individuals from the ranks of dieticians, social workers, recreation and rehabilitation therapists and activity coordinators also participated. Each focus group was taped and transcribed and thematically analyzed by research team members to develop and consolidate the findings related to challenges with embedding the PAC.

Results

Thematic analyses revealed that front-line workers are deeply committed to providing high quality PAC, but face challenges related to longstanding conditions in LTC notably, staff shortages, and perceived lack of time for providing compassionate care. The environment is also characterized by diverse views on what a PAC is, and when it should be applied. Our research suggests that integrated, holistic and sustainable PAC depends upon access to adequate resources for education, training for front-line care workers, and supportive leadership.

Conclusions

The urgent need for integrated PAC models in LTC has been accentuated by the current COVID-19 pandemic. Consequently, it is more imperative than ever before to move forwards with such models in order to promote quality of care and quality of life for residents and families, and to support job satisfaction for essential care workers.

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

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.

COVID-19 Pandemic in Assisted Living Communities: Results from Seven States

OBJECTIVE

To describe variations in COVID‐19 confirmed cases and deaths among assisted living (AL) residents and examine their associations with key AL characteristics.

DESIGN

Observational study employing data on confirmed COVID‐19 cases and deaths in ALs from seven states, through May 29, 2020.

SETTING

Information on COVID‐19 cases/deaths in ALs was obtained from state government websites. A national inventory of ALs was used to identify communities with and without COVID‐19 cases/deaths. Medicare Beneficiary Summary File identifying AL residents was employed to develop AL characteristics. County‐level COVID‐19 laboratory‐confirmed cases/deaths were obtained from publicly available data.

PARTICIPANTS

We found 4,865 ALs (2,647 COVID‐19 cases and 777 deaths) in the seven states. After excluding missing data, the sample consisted of 3,994 ALs (82.1%) with 2,542 cases (96.0%) and 675 deaths (86.9%).

MAIN OUTCOMES AND MEASURES

Outcomes were AL‐level counts of cases and deaths. Covariates were AL characteristics and county‐level confirmed COVID‐19 cases/deaths. Multivariable two‐part models determined the associations of independent variables with the likelihood of at least one case and death in the AL, and with the count of cases (deaths).

RESULTS

State case fatality ranged from 3.32% in North Carolina to 9.26% in Connecticut, but for ALs in these states it was 12.89% and 31.59%, respectively. Among ALs with at least one case, midsize communities had fewer cases (incidence rate ratio (IRR) = 0.829; P = .004) than small ALs. ALs with higher proportions of racial/ethnic minorities had more COVID‐19 cases (IRR = 1.08; P < .001), as did communities with higher proportions of residents with dementia, chronic obstructive pulmonary disease, and obesity.

CONCLUSIONS AND RELEVANCE

ALs with a higher proportion of minorities had more COVID‐19 cases. Many of the previously identified individual risk factors are also present in this vulnerable population. The impact of COVID‐19 on ALs is as critical as that on nursing homes, and is worth equal attention from policy makers.

Racial and Ethnic Disparities in COVID-19 Infections and Deaths Across U.S. Nursing Homes

BACKGROUND/OBJECTIVES

To determine racial/ethnic disparities in weekly counts of new COVID-19 cases and deaths among nursing home residents or staff.

DESIGN

Cross-sectional analysis of national nursing home COVID-19 reports linked to other data. Multivariable two-part models modeled disparities in count of cases or deaths, and logistic regressions modeled disparities in self-reported shortages in staff and personal protective equipment (PPE), across nursing home groups with varying proportions of racial/ethnic minority residents, defined as low-, medium-, medium-high-, and high-proportion groups.

SETTING

A total of 12,576 nursing homes nationally.

PARTICIPANTS

None.

INTERVENTION

None.

MEASUREMENTS

Numbers of incident COVID-19 confirmed cases among residents and staff, and incident COVID-19 related deaths among residents (primary outcomes); and nursing home reported shortages in staff and PPE (secondary outcomes). All outcomes were reported for the week of May 25, 2020.

RESULTS

The number of weekly new COVID-19 confirmed cases among residents ranged from an average of 0.4 cases per facility (standard deviation (SD) = 2.5) for the low-proportion group (93.0% had zero new cases) to 1.5 cases per facility (SD = 6.3) for the high-proportion group (78.9% had zero new cases). Multivariable regression estimated that compared with the low-proportion group, the likelihood of having at least one new resident case was 76% higher (odds ratio = 1.76; 95% confidence interval = 1.38-2.25; P = .000) for the high-proportion group. Similar across-facility disparities were found for the weekly count of new COVID-19 deaths among residents (ranging from 0.1 deaths per facility (SD = 1.1) for the low-proportion group to 0.4 deaths (SD = 2.0) for the high-proportion group) and in the weekly count of new COVID-19 confirmed cases among staff (ranging from 0.3 cases (SD = 1.4] to 1.3 cases (SD = 4.4) per facility). No substantial disparities in self-reported shortages of staff or PPE were found.

CONCLUSION

Nursing homes caring for disproportionately more racial/ethnic minority residents reported more weekly new COVID-19 confirmed cases and/or deaths. Immediate actions are needed to address these system-level disparities.