The Association of Race, Ethnicity, and Wages Among Registered Nurses in Long-term Care

The Impact of Wages on Care Home Quality in England

BACKGROUND AND OBJECTIVES

In many countries, a large proportion of long-term care staff are paid at, or near, minimum wage, leading to concerns of negative effects on care outcomes. This study analyzed the effect of staff wages on care home quality ratings in England.

RESEARCH DESIGN AND METHODS

A national staffing database of long-term care providers was matched with local-area information on needs and supply to construct a 3-year panel (2016-2018) of English care home observations. Using multiple imputation methods to address missing data provided a data set of 12,055 observations of 5,556 care facilities (both residential and nursing homes). We analyzed the effect of the facility-level average hourly wage of care staff on national regulator quality ratings. A measure of the impact of exogenous changes in the national minimum wage on care facilities was used as an instrument for wage.

RESULTS

We find that wages positively affect care home quality ratings. Other things equal, a 10% increase in the average hourly wage of direct care workers would lead to a 7.1% increase in the likelihood that a care home will have a high-quality rating. The wage effect on quality was significant when controlling for staff skill mix, measured as the share of registered nurses in nursing home staff.

DISCUSSION AND IMPLICATIONS

This study provides important evidence of the positive impact that staff pay can have on the quality of long-term care. Our finding has important implications for appropriate levels of pay and the funding of long-term care.

The work status of nurses in long-term care institutions in elderly care: A qualitative descriptive study

AIM

To understand the work status of nurses in long-term care institutions in China for elderly care to provide a reference for further formulating management strategies and promoting the development of long-term care teams.

METHODS

Using qualitative descriptive research methods, 31 nurses from three long-term care institutions were selected through purposive sampling for in-depth interviews, and a three-week participatory observation was conducted on the daily work of nurses in the above three long-term care institutions. Content analysis was used to analyse data.

RESULTS

In our sample, nurses in long-term care institutions had insufficient manpower, generally had low academic qualifications, and lacked professional ability. Their work enthusiasm and initiative need to be further improved. Long-term care nurses were moderately paid, and their salary satisfaction was lower than in other trades. At the same time, the social understanding of the long-term care industry was insufficient, and the social identity of nurses in long-term care institutions was low.

CONCLUSION

The development of long-term care requires the joint efforts of nurses, medical institutions, and society. By improving the system, cultivating talents and building a harmonious atmosphere, we aim to enhance the work enthusiasm of long-term care nurses and promote the stable and orderly development of the long-term care team.

IMPLICATIONS FOR NURSING MANAGEMENT

Nurses in long-term care institutions are at the core of the ageing age and play a vital role in coping with the ageing problem, meeting long-term care needs, improving the quality of life of old people and reducing the cost of long-term care. The training and management of nurses in long-term care institutions and the construction of the entire long-term care system should be based on China's national conditions and actual needs.

Earnings, job satisfaction, and turnover of nurse practitioners across employment settings

Nurse practitioners (NPs) are an important part of the health care workforce. However, little information is available on NP earnings, job satisfaction, or turnover. National survey data from 2018 offer a pre-COVID-19 baseline for ongoing NP workforce monitoring. We found evidence that NPs earned approximately $92 500 annually, ranging from $82 800 in long-term care to $95 600 in hospital settings. Wages increased with tenure in the workforce and varied considerably by geography. Approximately 1 in 5 NPs switched jobs annually, with some net in-flow to ambulatory settings. Both NPs who left their position or considered leaving reported better pay and benefits, burnout, management role, stressful work environment, career advancement, and inadequate staffing as the primary explanations. These findings were augmented by analysis of 2012-2022 Bureau of Labor Statistics data that illustrated substantial growth in the NP workforce. Improving NP job satisfaction has the direct benefit of supporting a critical and growing segment of the health workforce; it has the additional benefit of reducing job turnover and the associated costs, potentially increasing earnings for NPs. Policies that improve working conditions for NPs in different employment settings will not just increase immediate job satisfaction but also ideally strengthen the longer-term labor market to improve patient outcomes.

Staffing Shortages, Staffing Hours, and Resident Deaths in US Nursing Homes During the COVID-19 Pandemic

OBJECTIVES

Staffing shortages at nursing homes during the COVID-19 pandemic may have impacted care providers' staffing hours and affected residents' care and outcomes. This study examines the association of staffing shortages with staffing hours and resident deaths in nursing homes during the COVID-19 pandemic.

DESIGN

This study measured staffing hours per resident using payroll data and measured weekly resident deaths and staffing shortages using the Centers for Disease Control and Prevention's National Healthcare Safety Network data. Multivariate linear regressions with facility and county-week fixed effects were used to investigate the association of staffing shortages with staffing hours and resident deaths.

SETTING AND PARTICIPANTS

15,212 nursing homes.

MEASURES

The primary outcomes included staffing hours per resident of registered nurses (RNs), licensed practical nurses (LPNs), and certified nursing assistants (CNAs) and weekly total deaths per 100 residents.

RESULTS

Between May 31, 2020, and May 15, 2022, 18.4% to 33.3% of nursing homes reported staffing shortages during any week. Staffing shortages were associated with lower staffing hours per resident with a 0.009 decrease in RN hours per resident (95% CI 0.005-0.014), a 0.014 decrease in LPN hours per resident (95% CI 0.010-0.018), and a 0.050 decrease in CNA hours per resident (95% CI 0.043-0.057). These are equivalent to a 1.8%, 1.7%, and 2.4% decline, respectively. There was a positive association between staffing shortages and resident deaths with 0.068 (95% CI 0.048-0.088) total deaths per 100 residents. This was equivalent to an increase of 10.5%.

CONCLUSION AND IMPLICATIONS

Our results showed that self-reported staffing shortages were associated with a statistically significant decrease in staffing hours and with a statistically significant increase in resident deaths. These results suggest that addressing staffing shortages in nursing homes can save lives.

Building a dementia-capable nursing workforce

BACKGROUND

Undergraduate nursing students will play a pivotal role in caring for the rising numbers of older adults and people living with dementia (PLWD). However, many do not receive training in geriatrics or dementia and do not enter this field post-graduation, contributing to the workforce shortage.

OBJECTIVE

We aimed to capture students' interest and intention to work with PLWD, their suggestions about training, and to evaluate interest in a new elective long-term care (LTC) externship.

METHODS

We developed and administered a survey to Bachelor of Science in Nursing students consisting of questions modified from the Dementia Attitude Scale and related to respondents' health care experience, attitudes about caring for older adults, comfort working with PLWD, and willingness to develop geriatric and dementia care skills. We then conducted focus groups about desired curricular and clinical content.

RESULTS

Seventy-six students completed the survey. The majority reported low interest in working with and low knowledge of caring for older adults and PLWD. Six focus group participants expressed interest in participating in hands-on learning opportunities. Participants identified specific training components to attract students to geriatrics education.

CONCLUSIONS

Our findings informed the development, piloting, and evaluation of a new LTC externship at the University of Washington Schoool of Nursing.

Putting the Nursing and Home in Nursing Homes

As the late Robert Kane observed, the term nursing home is often a misnomer. Most U.S. nursing homes lack adequate nursing staff, and they are typically not very homelike in either their physical structure or culture. These problems were magnified during the pandemic. The underlying reasons for these longstanding issues are that most state Medicaid payment systems reimburse nursing homes at a relatively low level and the government does not hold nursing homes accountable for spending dollars on direct resident care. To encourage increased staffing and more homelike models of care, policymakers need to reform how nursing homes are paid and hold facilities accountable for how they spend government dollars. With these reforms, the term nursing home will become more appropriate in the United States.

Algorithmic harms and digital ageism in the use of surveillance technologies in nursing homes

Ageism has not been centered in scholarship on AI or algorithmic harms despite the ways in which older adults are both digitally marginalized and positioned as targets for surveillance technology and risk mitigation. In this translation paper, we put gerontology into conversation with scholarship on information and data technologies within critical disability, race, and feminist studies and explore algorithmic harms of surveillance technologies on older adults and care workers within nursing homes in the United States and Canada. We start by identifying the limitations of emerging scholarship and public discourse on "digital ageism" that is occupied with the inclusion and representation of older adults in AI or machine learning at the expense of more pressing questions. Focusing on the investment in these technologies in the context of COVID-19 in nursing homes, we draw from critical scholarship on information and data technologies to deeply understand how ageism is implicated in the systemic harms experienced by residents and workers when surveillance technologies are positioned as solutions. We then suggest generative pathways and point to various possible research agendas that could illuminate emergent algorithmic harms and their animating force within nursing homes. In the tradition of critical gerontology, ours is a project of bringing insights from gerontology and age studies to bear on broader work on automation and algorithmic decision-making systems for marginalized groups, and to bring that work to bear on gerontology. This paper illustrates specific ways in which important insights from critical race, disability and feminist studies helps us draw out the power of ageism as a rhetorical and analytical tool. We demonstrate why such engagement is necessary to realize gerontology's capacity to contribute to timely discourse on algorithmic harms and to elevate the issue of ageism for serious engagement across fields concerned with social and economic justice. We begin with nursing homes because they are an understudied, yet socially significant and timely setting in which to understand algorithmic harms. We hope this will contribute to broader efforts to understand and redress harms across sectors and marginalized collectives.