Personal care workers' intention to stay in residential aged care: An integrative review

AIM

To identify key factors that influence personal care workers' (PCW) intention to stay in residential aged care (RAC).

BACKGROUND

PCWs are the 'backbone' of providing direct care in RAC settings. The well-being of older people hinges upon their dedication and commitment; thus, enhancing their intention to stay is a priority to reduce turnover and ensure continuity of care.

METHODS

Six databases were searched for articles focusing on factors influencing PCWs' intention to stay in RAC. Studies were independently assessed for quality using the Joanna Briggs Institute Methodology for systematic review tools. Reporting of the results followed the PRISMA guidelines.

FINDINGS

Eight articles published between 2010 and 2022 were included. The key issues were categorized as: (a) sociodemographic characteristics; (b) psychological factors; (c) workplace factors and (d) job satisfaction. Older age, being married and immigration status were positively associated with intention to stay. Work stress and burnout contributed towards demotivation, while a supportive and engaging organizational culture that recognized workers' contributions and provided appropriate remuneration and benefits, enhanced job satisfaction and retention.

CONCLUSION

This review affirms the complexity of the decision-making process influencing workers' intention to stay. A comprehensive understanding of the interplay of these factors and the personal and sociocultural challenges faced by PCWs is essential to design strategies to provide support and enhance job satisfaction and retention.

IMPLICATIONS FOR AGED CARE

This review showed that support from the organization is critical in improving PCWs' intention to stay in aged care. Given the interconnectedness of a range of key factors, decision-makers need to address modifiable factors holistically. Including PCWs in planning retention strategies could be the missing link in tailoring interventions towards workforce retention.

IMPACT

Personal, psychological and workplace factors alone and in combination influence personal care workers' intention to stay in residential aged care (RAC). The interrelationships among the factors impacting PCWs' intention to stay are complex, wherein a change in one often influences other factors. Addressing the causes of psychological stress, improving workplace culture and understanding their interrelationships provide a foundation for co-designing strategies to promote intention to stay among PCWs in RAC.

REPORTING METHOD

The authors have adhered to relevant EQUATOR guidelines PRISMA.

NO PATIENT OR PUBLIC CONTRIBUTION

This integrative review is conducted with no involvement or contribution from patients or the public.

"I Like the Feeling of Connecting With People": A Mixed-Methods Study of Nursing Assistants Experiences Across the Care Continuum

Nursing assistants (NAs) are critical professionals across the long-term care continuum. Despite the demands of NAs, these frontline personnel experience workplace challenges and turnover at a disproportionate rate compared to other professionals. Much research has explored the experiences of nursing assistants using federal survey data and national datasets. Guided by a socio-ecological model and the job-demands resource model, this study utilized a sequential mixed-methods approach to uncover a more nuanced understanding of NA workplace experience. Results from this combined qualitative (N = 17) and quantitative (N = 354) study found that there are several workplace aspects, such as organizational culture and supervisor relationships, that contribute to NA experiences across system levels. Further exploration of direct care tasks directly from nursing assistants is necessary to understand full intentions.

Understanding Multilevel Factors Related to Retention Among the Direct Care Workforce: Incorporating Lessons Learned in Considering Innovative Interventions

GOAL

This article explores how broad, contextual factors may be influential in the retention of direct care workers (DCWs; i.e., entry-level caregivers) who provide vital support to patients in healthcare settings. We reflect on lessons learned from an evaluation of a multisite intervention to improve retention among DCWs employed primarily in hospital settings at three health systems.

METHODS

We evaluated a multitiered program for entry-level caregivers that included a risk assessment, a 4-day curriculum, and follow-up sessions, as well as workforce coaching at the three health systems. As part of our evaluation, we collected data on roughly 3,000 DCWs from the three health systems; the information included hiring date, any transfer date, and any termination date for each new DCW, as well as demographic information, position characteristics, and termination status and reasons for any termination. In addition, we collected information about organizational characteristics, including staffing and number of employees. We also conducted interviews with 56 DCWs and 21 staff members who implemented a retention program across each of the three health systems and remotely conducted virtual observations of the curriculum sessions at each system.

PRINCIPAL FINDINGS

Although the program we evaluated focused on individual-level factors that may affect retention, our findings revealed other broader, contextual challenges faced by DCWs that they said would have an impact on their willingness to stay in their positions. These challenges included (1) job-related factors including limited compensation, aspects of the job itself, and the inability to advance in one's position; (2) health system challenges including the mission, policies, staffing, and organizational culture; and (3) external factors including federal policies and the ongoing COVID-19 pandemic.

PRACTICAL APPLICATIONS

As the direct care workforce continues to grow, interventions to improve retention should consider the interconnectedness of these multilevel factors rather than solely individual-level factors. In addition, further research is needed to rigorously evaluate any potential intervention and consider how such an approach can target DCWs in hospital-based settings who are most affected by the multilevel challenges identified. Finally, any intervention to improve retention must be also aligned to ensure equity, especially in this population of low-wage DCWs, many of whom are marginalized women and individuals of color.

Beyond Nursing Staff Levels: The Association of Nursing Home Quality and the Five-Star Quality Rating System's New Staffing Measures

Recently, the Centers for Medicare & Medicaid Services (CMS) introduced staffing measures related to staffing variability and turnover in the Nursing Home (NH) Care Compare Five-Star Quality Rating System. While the consensus within the literature is that reduced variability and turnover are associated with higher NH quality of care and life, no existing studies have evaluated the relationship between CMS's newly introduced staffing measures and quality. This study uses regression analysis to estimate the relationship between 13 quality measures (used in Care Compare) and CMS's new staffing measures (i.e., weekend nursing staff levels, total nursing and registered nurse staff turnover, and administrator turnover) as well as a measure of daily staffing variation recently introduced in the literature called the coefficient of variation. Regressions analysis finds strong evidence of an association between quality and these staffing measures, though some measures (e.g., nursing staff turnover) are highly correlated and may be duplicative.

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.

Nursing assistant turnover in nursing homes: A scoping review of the literature

BACKGROUND

Nurse aide turnover in long-term care is projected to increase in the coming years. Guided by a social ecological framework, this scoping review systematically searched for peer-reviewed journal articles on nursing assistant or nurse aide turnover in nursing homes.

METHODS

Using the PICO and PRISMA guidelines, 8 university-based library databases via EBSCOhost were searched to source peer-reviewed journal articles published between 2002 and 2022 on nurse aide turnover in nursing homes.

RESULTS

The initial article search revealed 997 articles. After a three-stage article screening and removal process, a final sample of 43 articles (N = 43) remained. Guided by levels of influence, nurse aide turnover is found to be influenced by intrapersonal, interpersonal, institutional, community, and public policy level factors.

CONCLUSION

Findings highlight the need for further research with nursing facility administrators and nurse aides to evaluate the complex interactions within long-term care nursing homes.

Job Characteristics Associated With Intent to Quit Among Nursing Home Employees and Managers

BACKGROUND AND OBJECTIVES

High turnover and recruitment challenges of nursing home employees and managers are an ongoing concern. This study's objective was to examine intent to quit among all staff and assess the roles of job characteristics and job satisfaction. Employees and managers within one nursing home chain working in direct patient care or nursing were compared.

RESEARCH DESIGN AND METHODS

Data came from the Work, Family, Health Network 18-month follow-up survey in 2012 (total = 1,000, managers = 101, employees = 899). A cumulative logit model controlling for demographics was estimated for intent to quit. Herzberg's Two-Factor Theory of Work Motivation guided the study.

RESULTS

Employees scored significantly lower on family-supportive supervisor behaviors (FSSBs), schedule control, and decision authority than managers. Employees and managers did not differ on job satisfaction, intent to quit, or job demands. Satisfied workers had an 83% decrease in the odds of reporting an intent to quit compared to workers who were neutral or disagreed (odds ratio [OR] = 0.17, p < .0001). Decision authority (OR = 3.49) and schedule control (OR = 5.18) were independently related to greater odds of reporting an intent to quit. In contrast, FSSBs (OR = 0.69), safety compliance (OR = 0.71), and the combination of high decision authority with high schedule control (OR = 0.72) were related to lower odds of reporting an intent to quit.

DISCUSSION AND IMPLICATIONS

Among nursing home staff, lower intent to quit may be achieved through improving job satisfaction, the quality of supervision, safety culture, and job enrichment through more schedule control and decision-making power.

Does Higher Worker Retention Buffer Against Consumer Complaints? Evidence From Ohio Nursing Homes

BACKGROUND AND OBJECTIVES

This study examined the relationship between nursing home (NH) quality using consumer complaints and certified nursing assistant (CNA) annual retention rates among Ohio freestanding NHs (n = 691).

RESEARCH DESIGN AND METHODS

Core variables came from the 2017 Ohio Biennial Survey of Long-term Care Facilities and Centers for Medicare and Medicaid Services Automated Survey Processing Environment Complaints/Incidents Tracking System. To compare NHs, 4 quartiles of CNA retention rates were created: low (0%-48%), medium (49%-60%), high (61%-72%), and very high retention (73%-100%). Negative binomial regressions were estimated on total, substantiated, and unsubstantiated allegations and complaints. All regressions controlled for facility and county-level factors and clustered facilities by county.

RESULTS

NHs in the top 50% (high and very high) of retention received 1.92 fewer allegations than those in the bottom 50%, representing a 19% difference; this trend was significant and negative across all outcomes. Using quartiles revealed a nonlinear pattern: high-retention NHs received the fewest number of allegations and complaints. The differences between high and low retention on allegations, substantiated, and unsubstantied allegations were 33% (3.73 fewer), 34% (0.51 fewer), and 32% (3.12 fewer), respectively. Unexpectedly, very high-retention NHs received more unsubstantiated allegations than high-retention NHs.

DISCUSSION AND IMPLICATIONS

While higher-retention should result in fewer complaints, our results indicate that some turnover may be desirable because the very high-retention NHs performed slightly worse than those with high retention. Among the remaining facilities, fewer complaints may be achieved by improving CNA retention through higher wages, career advancement, and better training.

The Effect of Nurse Aide Retention on Ohio's Nursing Home Resident Care Experience Scores: A Facility-Level Analysis

This study examined whether certified nurse aide (CNA) retention was positively related to nursing home (NH) resident care experiences at the organizational-level. The 2017 Ohio Biennial Survey of Long-Term Care Facilities and the 2017 Ohio Nursing Home Resident Satisfaction Survey provided the key variables. Quartiles of CNA retention (0-48%, 49-60%, 61-72%, 73-100%) were created from the analysis sample (N = 667). Regression analyses clustered NHs within counties and controlled for structural characteristics, financial resources, empowered managers, resilience, quality of work-life, resident, and community characteristics. NHs in Quartile 3 of CNA retention had higher environment scores by 1.36 percentage points compared to Quartile 1 (p < .05). NHs in Quartile 4 had lower facility culture scores by 1.31 percentage points than NHs in Quartiles 1-3 (p < .05); this pattern repeated when Quartiles 3 and 4 were compared on other outcomes. Future research should explore NHs with very high CNA retention to improve understanding of the measure.

Determinants of regulatory compliance in health and social care services: A systematic review using the Consolidated Framework for Implementation Research

BACKGROUND

The delivery of high quality care is a fundamental goal for health systems worldwide. One policy tool to ensure quality is the regulation of services by an independent public authority. This systematic review seeks to identify determinants of compliance with such regulation in health and social care services.

METHODS

Searches were carried out on five electronic databases and grey literature sources. Quantitative, qualitative and mixed methods studies were eligible for inclusion. Titles and abstracts were screened by two reviewers independently. Determinants were identified from the included studies, extracted and allocated to constructs in the Consolidated Framework for Implementation Research (CFIR). The quality of included studies was appraised by two reviewers independently. The results were synthesised in a narrative review using the constructs of the CFIR as grouping themes.

RESULTS

The search yielded 7,500 articles for screening, of which 157 were included. Most studies were quantitative designs in nursing home settings and were conducted in the United States. Determinants were largely structural in nature and allocated most frequently to the inner and outer setting domains of the CFIR. The following structural characteristics and compliance were found to be positively associated: smaller facilities (measured by bed capacity); higher nurse-staffing levels; and lower staff turnover. A facility's geographic location and compliance was also associated. It was difficult to make findings in respect of process determinants as qualitative studies were sparse, limiting investigation of the processes underlying regulatory compliance.

CONCLUSION

The literature in this field has focused to date on structural attributes of compliant providers, perhaps because these are easier to measure, and has neglected more complex processes around the implementation of regulatory standards. A number of gaps, particularly in terms of qualitative work, are evident in the literature and further research in this area is needed to provide a clearer picture.

Recruitment, retention and employment growth in the long-term care sector in England

This paper studies the relationship between turnover, hiring and employment growth in the long-term care (LTC) sector in England and sheds light on how challenges in both recruitment and retention affect the sector's ability to meet growing demand for care services. Using the Adult Social Care Workforce Data Set (ASC-WDS), a large longitudinal dataset of LTC establishments in England, and fixed effects estimation methods we: (a) quantify the relationship between the in/outflow of care workers and the expansion/contraction of employment within establishments, (b) establish the role of staff retention policy for workforce expansion, and (c) identify the role of recruitment frictions and its impact on hiring and employment contraction. Our analysis indicates that care worker turnover and employment growth are negatively related. A one percentage point increase in employment contraction is associated with a 0.71 percentage point rise in turnover, while a one percentage point increase in employment expansion is associated with a 0.23 percentage point fall in turnover. In contrast, we find that hiring rates and employment growth are positively related. A one percentage point increase in employment expansion is associated with a 0.76 percentage point rise in hiring, while a one percentage point increase in employment contraction is associated with a 0.26 percentage point decrease in hiring. We argue that the negative turnover-employment growth relationship within expanding establishments provides evidence that better staff retention is associated with higher employment growth. Using information on establishments' annual change in vacancies, and controlling for changes in new labor demand, we also find rising year-on-year vacancies amongst establishments with declining employment. This provides evidence that recruitment frictions drive the declining rate of replacement hiring amongst contracting establishments. Across sectors, we find that the employment growth-turnover and the employment decline-hiring relationships are relatively stronger in the private and voluntary sectors compared to the public sector, suggesting that the impact of staff retention and recruitment frictions on employment is more acute in these sectors.

Technology Acceptance and Usability of a Mobile Application to Support the Workflow of Health Care Aides who Provide Services to older adults residing in a care facility: A Pilot Mixed Methods Study (Preprint)

Background

Health care aides are unlicensed support personnel who provide direct care, personal assistance, and support to people with health conditions. The shortage of health care aides has been attributed to recruitment challenges, high turnover, an aging population, the COVID-19 pandemic, and low retention rates. Mobile apps are among the many information communication technologies that are paving the way for eHealth solutions to help address this workforce shortage by enhancing the workflow of health care aides. In collaboration with Clinisys EMR Inc, we developed a mobile app (Mobile Smart Care System [mSCS]) to support the workflow of health care aides who provide services to older adult residents of a long-term care facility.

Objective

The purpose of this study was to investigate the technology acceptance and usability of a mobile app in a real-world environment, while it is used by health care aides who provide services to older adults.

Methods

This pilot study used a mixed methods design: sequential mixed methods (QUANTITATIVE, qualitative). Our study included a pre– and post–paper-based questionnaire with no control group (QUAN). Toward the end of the study, 2 focus groups were conducted with a subsample of health care aides (qual, qualitative description design). Technology acceptance and usability questionnaires used a 5-point Likert scale ranging from disagree (1) to agree (5). The items included in the questionnaires were validated in earlier research as having high levels of internal consistency for the Unified Theory of Acceptance and Use of Technology constructs. A total of 60 health care aides who provided services to older adults as part of their routine caseloads used the mobile app for 1 month. Comparisons of the Unified Theory of Acceptance and Use of Technology constructs’ summative scores at pretest and posttest were calculated using a paired t test (2-tailed). We used the partial least squares structural regression model to determine the factors influencing mobile app acceptance and usability for health care aides. The α level of significance for all tests was set at P≤.05 (2-tailed).

Results

We found that acceptance of the mSCS was high among health care aides, performance expectancy construct was the strongest predictor of intention to use the mSCS, intention to use the mSCS predicted usage behavior. The qualitative data support the quantitative findings and showed health care aides’ strong belief that the mSCS was useful, portable, and reliable, although there were still opportunities for improvement, especially with regard to the mSCS user interface.

Conclusions

Overall, these results support the assertion that mSCS technology acceptance and usability are high among health care aides. In other words, health care aides perceived that the mSCS assisted them in addressing their workflow issues.

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.

Transforming Direct Care Jobs, Reimagining Long-Term Services and Supports

The diverse array of individuals who receive long-term services and supports share one common experience, which is the need for assistance with personal care and/or other daily activities. The direct care workers (including nursing assistants, home health aides, and personal care aides) who provide this assistance play a critical role in keeping individuals safe, supporting their health and well-being, and helping prevent adverse outcomes. Yet despite decades of research, advocacy, and incremental policy and practice reform, direct care workers remain inadequately compensated, supported, and respected. Long-standing direct care job quality concerns are linked to high turnover and job vacancy rates in this workforce, which in turn compromise the availability and quality of essential care for older adults and people with disabilities-which has never been more evident than during the COVID-19 pandemic. This special article makes the case for transforming direct care jobs and stabilizing this workforce as a centerpiece of efforts to reimagine long-term services and supports system in the United States, as a public health priority, and as a social justice imperative. Drawing on research evidence and examples from the field, the article demonstrates that a strong, stable direct care workforce requires: a competitive wage and adequate employment benefits for direct care workers; updated training standards and delivery systems that prepare these workers to meet increasingly complex care needs across settings, while also enhancing career mobility and workforce flexibility; investment in well-trained frontline supervisors and peer mentors to help direct care workers navigate their challenging roles; and an elevated position for direct care workers in relation to the interdisciplinary care team. The article concludes by highlighting federal and state policy opportunities to achieve direct care job transformation, as well as discussing research and practice implications.

Staff Stability Through Service: Promoting a Person-Centered Culture for Work and Care in Long-Term Services and Supports Environments

Nursing homes have struggled for years to secure and retain staff. Turnover of all staff, from administrators to direct care providers, continues to plague the industry. Although improvements in compensation, benefits, and opportunities for promotion may enhance retention, organizational culture may also play a major role. The current article discusses the SERVICE Model of Leadership^©, which can improve the culture and promote staff retention through the establishment of systems and programs that meet the reported needs and desires of all staffing levels in nursing homes and other organizations providing long-term services and supports. [Journal of Gerontological Nursing, 47(11), 6-10.].

The One-Two Punch of High Wages and Empowerment on CNA Retention

OBJECTIVES

The objective of this study was to examine the relationship between high wages and empowerment practices on certified nursing assistant (CNA) retention, necessary for providing high-quality care for nursing home (NH) residents.

METHODS

Measures of provider-level CNA empowerment and wages from the 2015 Ohio Biennial Survey were used to estimate two regression models on retention (n = 719), one without and one with an interaction term of high wages and high empowerment.

RESULTS

Only in the context of the interacted model were NHs that provided both high wages and high empowerment associated with a 7.09 percentage-point improvement in the CNA retention rate (p = .0003). Individually, high wages and a high empowerment score were not statistically significant in either regression model.

DISCUSSION

Retaining CNAs in NH communities requires a combination of empowerment practices (e.g., involving CNAs in decision-making about hiring other staff) and high hourly wages.

Measuring Caregiver Retention in Nursing Homes

BACKGROUND AND OBJECTIVES

Retention of nursing home caregivers is examined. This represents the concept of continuously employing the same caregivers in the same facility for a defined period of time. In this research, several measures of caregiver retention are examined and the utility of these measures for practitioners and policy makers is discussed.

RESEARCH DESIGN AND METHODS

A survey of nursing home administrators conducted in 2016 was used to collect staffing data from 2,898 facilities. This was matched with Nursing Home Compare and the Certification and Survey Provider Enhanced Reporting data. The association of four measures of retention for each of three types of caregivers with six quality indicators was examined.

RESULTS

The descriptive statistics show rates of retention at 5 years for nurse aides (NAs), registered nurses (RNs), and licensed practical nurses to be low. The regression estimates show some support for the relationship that high caregiver retention is associated with better overall quality. The relationship was strongest for NAs and RNs. Support was also found for the notion that different measures of retention were more/less associated with quality. The 3- and 5-year retention measures had the strongest associations with the quality indicators.

DISCUSSION AND IMPLICATIONS

The findings presented provide some evidence that caregiver retention may be an important metric that can be used as a means of improving quality of care in nursing homes. However, the findings also show practitioners and policy makers should be more nuanced in the use of caregiver retention metrics.

It Is Time to Resolve the Direct Care Workforce Crisis in Long-Term Care

Nearly 4.6 million direct care workers-including personal care aides, home health aides, and nursing assistants-provide daily support to older adults and people with disabilities across a range of settings in the United States, predominantly in long-term care (LTC). Even as the population grows older and drives up demand for LTC, the sector continues its decades-long struggle to fill direct care positions and stabilize this essential workforce. Recent events and emerging trends have converged, however, to produce new opportunities to address this longstanding workforce crisis, including the unprecedented attention generated by the coronavirus disease 2019 (COVID-19) pandemic and the systemic shifts to managed care and value-based payment in LTC. This Forum article outlines the pressing direct care workforce challenges in LTC before describing these potential levers of change, emphasizing the importance of not just expanding the workforce but also maximizing direct care workers' contributions to the delivery of high-quality services for a growing and evolving population of LTC consumers.

"If They Don't Like You, They Are Not Going to Eat for You": Individual and Interpersonal Factors Affecting Certified Nursing Assistants' Ability to Provide Mealtime Assistance to Residents With Dementia

BACKGROUND AND OBJECTIVES

In long-term care facilities in the United States, certified nursing assistants (CNAs) provide mealtime assistance to residents with dementia, a task that substantially increases caregiver burden due to the time and attention required. The aim of this qualitative study was to explore the individual and interpersonal barriers and facilitators CNAs experience when providing mealtime assistance to residents with dementia.

RESEARCH DESIGN AND METHODS

Focus group questions were developed based on the corresponding levels of the Social Ecological Model. Using purposive sampling, 9 focus groups were conducted with 53 CNAs who had at least 1 year of experience as a CNA working with older adults. Focus groups were audio-recorded and transcribed verbatim. Data were analyzed using the directed content analysis approach.

RESULTS

CNAs reported individual skills, training, and personal characteristics that affected their ability to provide mealtime assistance. At the interpersonal level, CNAs identified their relationships with residents, residents' family members, and other health care professionals as factors that affect their ability to provide mealtime assistance.

DISCUSSION AND IMPLICATIONS

These findings provide evidence for strategies that administrators can utilize to reduce caregiver burden by improving the mealtime experience. First, CNAs need adequate training, particularly to develop communication skills. Developing verbal communication skills may improve interpersonal relationships between CNAs and residents' family members and other coworkers. Developing nonverbal communication skills may foster an improved relationship between CNAs and their residents with dementia. Future research should evaluate interventions that seek to improve these skills to determine their impact on the mealtime experience.

Organizational Factors Associated With Retention of Direct Care Workers: A Comparison of Nursing Homes and Assisted Living Facilities

BACKGROUND AND OBJECTIVES

Low retention of direct care workers (DCWs), either certified nursing assistants in nursing homes (NHs) or personal care assistants in assisted living (AL), continues to be an unresolved problem. While numerous studies have examined predictors of DCW retention in NHs, little attention has been paid to differences between settings of long-term care. This study compares the predictors of DCW retention rates across both settings.

RESEARCH DESIGN AND METHODS

The 2017 Ohio Biennial Survey of Long-Term Care Facilities provides facility-level information from NHs and ALs (NHs = 739; ALs = 465). We compare the factors that predict retention rates of DCWs utilizing regression analysis. The factors are structural, financial, resident conditions, staffing, and management characteristics, as well as retention strategies.

RESULTS

Average DCW retention rates were 66% and 61% in ALs and NHs, respectively. Not-for-profit status was significantly associated with higher retention rates across settings. While the percent of residents with dementia and less administrator turnover were associated with significantly higher DCW retention in NHs, these were not significant for ALs. However, in the AL context, a higher county unemployment rate and DCWs' participation in resident care planning meetings were positively related to DCW retention after controlling for all other covariates, while DCW cross-training was negatively associated.

DISCUSSION AND IMPLICATIONS

Retention strategies for DCWs may need to differ by setting, as a result of differing working environments, resources, and regulations.

Expert nurse response to workforce recommendations made by the coronavirus commission for safety and quality in nursing homes

COVID-19 has exposed the longstanding internal problems in nursing homes and the weak structures and policies that are meant to protect residents. The Centers for Medicare and Medicaid Services convened the Coronavirus Commission for Safety and Quality in NHs in April, 2020 to address this situation by recommending steps to improve infection prevention and control, safety procedures, and the quality of life of residents in nursing homes. The authors of this paper respond to the Final Report of the Commission and put forth additional recommendations to federal policymakers for meaningful nursing home reform: 1) ensuring 24/7 registered nurse (RN) coverage and adequate compensation to maintain total staffing levels that are based on residents’ care needs; 2) ensuring RNs have geriatric nursing and leadership competencies; 3) increasing efforts to recruit and retain the NH workforce, particularly RNs; and 4) supporting care delivery models that strengthen the role of the RN for quality resident-centered care.

Facility-Level Factors Associated With CNA Turnover and Retention: Lessons for the Long-Term Services Industry

BACKGROUND AND OBJECTIVES

Certified nursing assistant (CNA) turnover and retention are critical aspects of facilities' ability to provide cost-effective, high-quality person-centered care. Previous studies and industry practice often treat turnover and retention as similar concepts, assuming that low turnover and high retention are synonymous. The study addressed the question of whether turnover and retention rates differ and if so, what those differences mean for nursing home practice, policy, and research.

RESEARCH DESIGN AND METHODS

This study examines facility-level factors associated with CNA retention and turnover rates using 2015 data from the Ohio Biennial Survey of Long-Term Care Facilities, Ohio Medicaid Cost Reports, Certification and Survey Provider Enhanced Report, and the Area Health Resource File. Using bivariate tests and regression analysis, we compare rates and the factors associated with retention and turnover.

RESULTS

The mean facility annual retention rate was 64% and the mean annual turnover rate was 55%. As expected, there was a statistically significant and negative correlation between the rates (r = -0.26). However, some facilities had both high retention and high turnover and some had low rates for both measures. Not all the variables that are associated with turnover are also associated with retention.

DISCUSSION AND IMPLICATIONS

CNA retention is not simply the absence of CNA turnover. Given the differences, nursing homes may need to use strategies and policies designed to target a particular stability measure.

The supportive supervisory scale: psychometric properties in Chinese health care aides samples

Objective

To sinicize the Supportive Supervisory Scale (SSS) and analyze the psychometric properties of the Chinese version of SSS (SSS-C).

Methods

The SSS (the original English version) was firstly sinicized and adjusted, then its psychometric properties were examined in 300 health care aides from four long-term care (LTC) facilities. SPSS 22.0 was used to process the data and calculate the reliability and validity.

Results

The 15-item SSS-C had satisfactory internal consistency (Cronbach’s α coefficient = 0.852), split half reliability (Spearman-Brown coefficient = 0.834) and test–retest reliability (Pearson correlation coefficient = 0.784), and three factors were extracted. If the four items with their communality < 0.4 were deleted, the remaining 11 items could explain 55.654% of the total variance. The discriminant validity of the SSS-C varied significantly between sites.

Conclusions

The Chinese version of SSS can be used to effectively measure the supervisory support of the nurses within the LTC settings.

Federal requirements for nursing homes to include certified nursing assistants in resident care planning and interdisciplinary teams: A policy analysis

Starting in 2016, Centers for Medicare and Medicaid Services implemented the first phase of a 3-year multi-phase plan revising the manner in which nursing homes are regulated. In this revision, attention was placed on the importance of certified nursing assistants (CNAs) to resident care and the need to empower these frontline workers. Phase II mandates that CNAs be included as members of the nursing home interdisciplinary team that develops care plans for the resident that are person-centered and comprehensive and reviews and revises these care plans after each resident assessment. While these efforts are laudable, there are no direct guidelines for how to integrate CNAs in the interdisciplinary team. We recommend the inclusion of direct guidelines, in which this policy revision clarifies the expected contributions from CNAs, their responsibilities, their role as members of the interdisciplinary team, and the expected patterns of communication between CNAs and other members of the interdisciplinary team.

Medical Cost of Workers' Compensation Claims Related to Patient Handling and Mobility Tasks Within Skilled Nursing Facilities, Continuing Care Retirement Communities and Assisted Living Facilities: An Exploratory Analysis

OBJECTIVE

Evaluate the medical costs related to patient handling & mobility (PH&M) claims.

METHODS

Closed medical only and indemnity workers' compensation claims were utilized for this exploratory study. In addition to the PH&M tasks, the claimants' gender, age, tenure, and the claim lag time were also analyzed.

RESULTS

Generalized linear models indicated that variables related to tasks, claims' number of open days and age of the claimants had meaningful effects on the adjusted medical costs for medical only claims. For indemnity claims, the number of open days of claims, age and tenure had meaningful effects. Gender had meaningful effects only for indemnity claims when classifying the claims by patient handling tasks versus non-patient handling tasks.

CONCLUSIONS

Results showed that factors, other than the type of injury; meaningfully influenced the adjusted medical costs of indemnity claims.

Evaluating the Effect of COVID-19 Pandemic Lockdown on Long-Term Care Residents' Mental Health: A Data-Driven Approach in New Brunswick

Long-term care (LTC) residents, isolated because of the COVID-19 pandemic, are at increased risk for negative mental health outcomes. The purpose of our article is to demonstrate how the interRAI LTC facility (LTCF) assessment can inform clinical care and evaluate the effect of strategies to mitigate worsening mental health outcomes during the COVID-19 pandemic. We present a supporting analysis of the effects of lockdown in homes without COVID-19 outbreaks on depression, delirium, and behavior problems in a network of 7 LTC homes in New Brunswick, Canada, where mitigative strategies were deployed to minimize poor mental health outcomes (eg, virtual visits and increased student volunteers). This network meets regularly to review performance on risk-adjusted quality of care indicators from the interRAI LTCF and share learning through a community of practice model. We included 4209 assessments from 765 LTC residents between January 2017 to June 2020 and modeled the change within and between residents for depression, delirium, and behavioral problems over time with longitudinal generalized estimating equations. Though the number of residents who had in-person visits with family decreased from 73.2% before to 17.9% during lockdown (chi square, P < .001), the number of residents experiencing delirium (4.5%-3.5%, P = .51) and behavioral problems (35.5%-30.2%, P = .19) did not change. The proportion of residents with indications of depression decreased from 19.9% before to 11.5% during lockdown (P < .002). The final multivariate models indicate that the effect of lockdown was not statistically significant on depression, delirium, or behavioral problems. Our analyses demonstrate that poor mental health outcomes associated with lockdown can be mitigated with thoughtful intervention and ongoing evaluation with clinical information systems. Policy makers can use outputs to guide resource deployment, and researchers can examine the data to identify better management strategies for when pandemic strikes again.

The vulnerability of nursing home residents to the Covid-19 pandemic

Residents in nursing homes and other long-term care facilities comprise a large percentage of the deaths from Covid 19. Is this inevitable or are there problems with NHs and their care that increase the susceptibility of their residents. The first U.S. cluster of cases involved the residents, staff, and visitors of a Seattle-area nursing home. Study of this cluster suggested that infected staff members were transmitting the disease to residents. The quality of nursing home care has long been a concern and attributed to chronic underfunding and resulting understaffing. Most NH care is delivered by minimally trained nursing assistants whose low pay and limited benefits compel them to work in multiple long-term care settings, increasing their risk of infection, and work while ill. More comparative studies of highly infected long-term care facilities with those organizations that were able to better protect their residents are urgently needed. Early evidence suggests that understaffing of registered nurses may increase the risk of larger outbreaks.