Second Job Holding Among Direct Care Workers and Nurses: Implications for COVID-19 Transmission in Long-Term Care

The Association of Nursing Homes' Organizational Context With Care Aide Empowerment: A Cross-Sectional Study

BACKGROUND AND OBJECTIVES

Organizational context is thought to influence whether care aides feel empowered, but we lack empirical evidence in the nursing home sector. Our objective was to examine the association of features of nursing homes' unit organizational context with care aides' psychological empowerment.

RESEARCH DESIGN AND METHODS

This cross-sectional study analyzed survey data from 3765 care aides in 91 Western Canadian nursing homes. Random-intercept mixed-effects regressions were used to examine the associations between nursing home unit organizational context and care aides' psychological empowerment, controlling for care aide, care unit, and nursing home covariates.

RESULTS

Organizational (IVs) culture, social capital, and care aides' perceptions of sufficient time to do their work were positively associated with all four components of psychological empowerment (DVs): competence (0.17 [0.13, 0.21] for culture, 0.18 [0.14, 0.21] for social capital, 0.03 [0.01, 0.05] for time), meaning (0.21 [0.18, 0.25] for culture, 0.19 [0.16, 0.23] for social capital, 0.03 [0.01, 0.05 for time), self-determination (0.38 [0.33, 0.44] for culture, 0.17 [0.12, 0.21] for social capital, 0.08 [0.05, 0.11] for time), and impact (0.26 [0.21, 0.31] for culture, 0.23 [0.19, 0.28] for social capital, 0.04 [0.01, 0.07] for time).

DISCUSSION AND IMPLICATIONS

In this study, modifiable elements of organizational context (i.e., culture, social capital, and time) were positively associated with care aides' psychological empowerment. Future interventions might usefully target these modifiable elements of unit level context in the interest of assessing their effects on staff work attitudes and outcomes, including the quality of resident care.

Nursing Home Residents' COVID-19 Infections in the United States: A Systematic Review of Personal and Contextual Factors

Background: This mixed methods systemic review synthesizes the evidence about nursing home risks for COVID-19 infections. Methods: Four electronic databases (PubMed, Web of Science, Scopus, and Sage Journals Online) were searched between January 2020 and October 2022. Inclusion criteria were studies reported on nursing home COVID-19 infection risks by geography, demography, type of nursing home, staffing and resident's health, and COVID-19 vaccination status. The Mixed Methods Appraisal Tool (MMAT) was used to assess the levels of evidence for quality, and a narrative synthesis for reporting the findings by theme. Results: Of 579 initial articles, 48 were included in the review. Findings suggest that highly populated counties and urban locations had a higher likelihood of COVID-19 infections. Larger nursing homes with a low percentage of fully vaccinated residents also had increased risks for COVID-19 infections than smaller nursing homes. Residents with advanced age, of racial minority, and those with chronic illnesses were at higher risk for COVID-19 infections. Discussion and implications: Findings suggest that along with known risk factors for COVID-19 infections, geographic and resident demographics are also important preventive care considerations. Access to COVID-19 vaccinations for vulnerable residents should be a priority.

Retention and turnover among migrant nurses: A scoping review

AIM

To map and explore primary research about factors related to retention, turnover and turnover intention among migrant nurses.

BACKGROUND

Understanding retention and turnover among migrant nurses is essential, especially in the context of nursing shortage. There is a range of factors motivating nurses to emigrate; however, factors related to retention and turnover among migrant nurses in the host country are unclear.

METHODS

This review utilised Arksey and O'Malley's methodological framework for scoping reviews, and is reported with the PRISMA-ScR checklist. Four electronic databases were searched-CINAHL, PsycINFO, ProQuest and PubMed-to identify primary research published between January 2000 and May 2022. Titles and abstracts were reviewed against the inclusion and exclusion criteria, and then full-text versions were reviewed. Data extracted were summarised, and results synthesised.

RESULTS

Fifteen studies were included, with studies mainly from the Middle East, the United Kingdom and the United States. Personal, organisational, financial, political and environmental factors were found to influence retention and turnover among migrant nurses.

CONCLUSION

Retention and turnover rates among migrant nurses vary among host countries. The factors identified are related to each other; hence, retention and turnover among migrant nurses are best understood in the context of their source country, host country and individual circumstances. IMPLICATIONS FOR NURSING POLICY, SOCIAL POLICY, AND HEALTH POLICY: Host countries must promote strategies that foster retention, such as reviewing immigration policies to support long-term immigration and family unity. Organisations employing migrant nurses need to consider the presence of a social network to facilitate adaptation and integration. It is also recommended that source countries address the reasons for emigration and initiate policies encouraging return migration, including providing merit to overseas experience. International nursing organisations should call for an examination of the conditions of migrant nurses to ensure equality across all source countries.

The CONFIDENT study protocol: a randomized controlled trial comparing two methods to increase long-term care worker confidence in the COVID-19 vaccines

BACKGROUND

Clinical and real-world effectiveness data for the COVID-19 vaccines have shown that they are the best defense in preventing severe illness and death throughout the pandemic. However, in the US, some groups remain more hesitant than others about receiving COVID-19 vaccines. One important group is long-term care workers (LTCWs), especially because they risk infecting the vulnerable and clinically complex populations they serve. There is a lack of research about how best to increase vaccine confidence, especially in frontline LTCWs and healthcare staff. Our aims are to: (1) compare the impact of two interventions delivered online to enhanced usual practice on LTCW COVID-19 vaccine confidence and other pre-specified secondary outcomes, (2) determine if LTCWs' characteristics and other factors mediate and moderate the interventions' effect on study outcomes, and (3) explore the implementation characteristics, contexts, and processes needed to sustain a wider use of the interventions.

METHODS

We will conduct a three-arm randomized controlled effectiveness-implementation hybrid (type 2) trial, with randomization at the participant level. Arm 1 is a dialogue-based webinar intervention facilitated by a LTCW and a medical expert and guided by an evidence-based COVID-19 vaccine decision tool. Arm 2 is a curated social media web application intervention featuring interactive, dynamic content about COVID-19 and relevant vaccines. Arm 3 is enhanced usual practice, which directs participants to online public health information about COVID-19 vaccines. Participants will be recruited via online posts and advertisements, email invitations, and in-person visits to care settings. Trial data will be collected at four time points using online surveys. The primary outcome is COVID-19 vaccine confidence. Secondary outcomes include vaccine uptake, vaccine and booster intent for those unvaccinated, likelihood of recommending vaccination (both initial series and booster), feeling informed about the vaccines, identification of vaccine information and misinformation, and trust in COVID-19 vaccine information provided by different people and organizations. Exploration of intervention implementation will involve interviews with study participants and other stakeholders, an in-depth process evaluation, and testing during a subsequent sustainability phase.

DISCUSSION

Study findings will contribute new knowledge about how to increase COVID-19 vaccine confidence and effective informational modalities for LTCWs.

TRIAL REGISTRATION

NCT05168800 at ClinicalTrials.gov, registered December 23, 2021.

Dual impacts of Medicare payment reform and the COVID-19 pandemic on therapy staffing in skilled nursing facilities

BACKGROUND

Implementation of new skilled nursing facility (SNF) Medicare payment policy, the Patient Driven Payment Model (PDPM), resulted in immediate declines in physical and occupational therapy staffing. This study characterizes continuing impacts of PDPM in conjunction with COVID-19 on SNF therapy staffing and examines variability in staffing changes based on SNF organizational characteristics.

METHODS

We analyzed Medicare administrative data from a national cohort of SNFs between January 2019 and March 2022. Interrupted time series mixed effects regression examined changes in level and trend of total therapy staffing minutes/patient-day during PDPM and COVID-19 and by type of staff (therapists, assistants, contractors, and in-house staff). Secondary analyses examined the variability in staffing by organizational characteristics.

RESULTS

PDPM resulted in a -6.54% level change in total therapy staffing, with larger declines for assistants and contractors. Per-patient staffing fluctuated during COVID-19 as the census changed. PDPM-related staffing declines were larger in SNFs that were: Rural, for-profit, chain-affiliated, provided more intensive therapy, employed more therapy assistants, and admitted more Medicare patients before PDPM. COVID-19 resulted in larger staffing declines in rural SNFs but smaller early declines in SNFs that were hospital-based, for-profit, or received more relief funding.

CONCLUSIONS

SNFs that historically engaged in profit-maximizing behaviors (e.g., providing more therapy via lower-paid assistants) had larger staffing declines during PDPM compared to other SNFs. Therapy staffing fluctuated during COVID-19, but PDPM-related reductions persisted 2 years into the pandemic, especially in rural SNFs. Results suggest specific organizational characteristics that should be targeted for staffing and quality improvement initiatives.

Impact of traffic congestion on spatial access to healthcare services in Nairobi

Background

Geographic accessibility is an important determinant of healthcare utilization and is critical for achievement of universal health coverage. Despite the high disease burden and severe traffic congestion in many African cities, few studies have assessed how traffic congestion impacts geographical access to healthcare facilities and to health professionals in these settings. In this study, we assessed the impact of traffic congestion on access to healthcare facilities, and to the healthcare professionals across the healthcare facilities.

Methods

Using data on health facilities obtained from the Ministry of Health in Kenya, we mapped 944 primary, 94 secondary and four tertiary healthcare facilities in Nairobi County. We then used traffic probe data to identify areas within a 15-, 30- and 45-min drive from each health facility during peak and off-peak hours and calculated the proportion of the population with access to healthcare in the County. We employed a 2-step floating catchment area model to calculate the ratio of healthcare and healthcare professionals to population during these times.

Results

During peak hours, <70% of Nairobi's 4.1 million population was within a 30-min drive from a health facility. This increased to >75% during off-peak hours. In 45 min, the majority of the population had an accessibility index of one health facility accessible to more than 100 people (<0.01) for primary health care facilities, one to 10,000 people for secondary facilities, and two health facilities per 100,000 people for tertiary health facilities. Of people with access to health facilities, a sub-optimal ratio of <4.45 healthcare professionals per 1,000 people was observed in facilities offering primary and secondary healthcare during peak and off-peak hours.

Conclusion

Our study shows access to healthcare being negatively impacted by traffic congestion, highlighting the need for multisectoral collaborations between urban planners, health sector and policymakers to optimize health access for the city residents. Additionally, growing availability of traffic probe data in African cities should enable similar analysis and understanding of healthcare access for city residents in other countries on the continent.

Taking the Long View: Understanding the Rate of Second Job Holding Among Long-Term Care Workers

We analyze the 2004, 2008, and 2014 longitudinal panels of the Survey of Income and Program Participation (SIPP) to compare the percentage of long-term care (LTC) workers who held a second job in an LTC setting or in any industry at the first panel observation versus over a longer time period. We find that around 5% to 7% of LTC workers held a second job in another LTC setting in their first panel observation. However, we found that 20% to 30% of LTC workers held a second job in LTC during the survey period of 3 to 4 years, and 30% to 40% of LTC workers held a second job in any industry during the survey period. Our findings suggest that second job holding is widespread among LTC workers. Future research should focus on how facilities and organizations can reduce the spread of infectious disease among workers who are working in multiple settings.

A Tale of Two Supercities: Early COVID-19 Outcomes Reflect Social Vulnerability in New York City and San Francisco

In this narrative review, anesthesiologists at 2 large hospital systems in New York City and San Francisco compare early coronavirus disease 2019 (COVID-19) public health outcomes while considering the role played by social vulnerability and relevant approaches in their 2 cities. An iterative search process allowed for a broad review of medical and public policy research, as well as newspaper reports, expert opinion, and multimedia sources, with the goal of exploring the importance of crowding, the labor force, and social identity in pandemic experiences. Related struggles, pitfalls, and successful interventions in both locales are summarized. Although technology in the form of vaccination will likely play an outsize role in the next phase of the pandemic, our review concludes that we must carefully consider how social vulnerabilities have and will continue to inform equitable and effective access to life-saving resources.

Characterizing the direct care health workforce in the United States, 2010-2019

BACKGROUND

To describe the growth and characteristics of the direct care health workforce, encompassing home health aides, personal care aides, nursing assistants, and orderlies and psychiatric aides from 2010 to 2019 in the United States.

METHODS

Using nationally representative data from the 2010 to 2019 American Community Survey, we described the growth in the direct care health workforce overall and by type of direct care health worker. In addition, we examined the distribution of direct care workers by geographic region of the country, age categories, citizenship, world area of birth, income, health insurance status, and other characteristics.

RESULTS

From 2010 to 2019, the number of direct care health workers in the United States per 10,000 individuals decreased slightly from 135.81 in 2010 to 133.78 in 2019. Personal care aides made up 42.1% of the direct care health workforce in 2019, followed by nursing assistants (39.5%) and home health aides (16.3%). In 2019, the number of direct care health workers who were not U.S. citizens accounted for roughly 10% of all workers in each year. The relative percentage of direct care health workers that were not a citizen of the United States was highest among home health aides (16.3%). Among workers born outside of the United States, the majority were from Latin America, followed by Asia.

CONCLUSION

From 2010 to 2019, there was little growth in the direct care health workforce despite growing demand for direct care health workers. In the midst of the current and projected shortage of direct care health workers-particularly during the COVID-19 pandemic, longer-term solutions to improve retention of direct care health workers and increase the supply of direct care health workers may be needed.

Association between nursing home staff turnover and infection control citations

OBJECTIVE

To describe the association between nursing home staff turnover and the presence and scope of infection control citations.

DATA SOURCES

Secondary data for all US nursing homes between March 31, 2017, through December 31, 2019 were obtained from Payroll-Based Journal (PBJ), Nursing Home Compare, and Long-Term Care: Facts on Care in the US (LTC Focus).

STUDY DESIGN

We estimated the association between nurse turnover and the probability of an infection control citation and the scope of the citation while controlling for nursing home fixed effects. Our turnover measure is the percent of the facility's nursing staff hours that were provided by new staff (less than 60 days of experience in the last 180 days) during the 2 weeks prior to the health inspection. We calculated turnover for all staff together and separately for registered nurses, licensed practical nurses (LPNs), and certified nursing assistants.

DATA COLLECTION/EXTRACTION METHODS

We linked nursing homes standard inspection surveys to 650 million shifts from the PBJ data. We excluded any nursing home with incomplete or missing staffing data. Our final analytic sample included 12,550 nursing homes with 30,536 surveys.

PRINCIPAL FINDINGS

Staff turnover was associated with an increased likelihood of an infection control citation (average marginal effect [AME] = 0.12 percentage points [pp]; 95% confidence interval [CI]: 0.05, 0.18). LPN (AME = 0.06 pp; 95% CI: 0.01, 0.11) turnover was conditionally associated with an infection control citation. Conditional on having at least an isolated citation for infection control, staff turnover was positively associated with receiving a citation coded as a "pattern" (AME = 0.21 pp; 95% CI: 0.10, 0.32). Conditional of having at least a pattern citation, staff turnover was positively associated with receiving a widespread citation (AME = 0.21 pp; 95% CI: 0.10, 0.32).

CONCLUSIONS

Turnover was positively associated with the probability of an infection control citation. Staff turnover should be considered an important factor related to the spread of infections within nursing homes.

Interpreting COVID-19 deaths among nursing home residents in the US: The changing role of facility quality over time

A report published last year by the Centers for Medicare & Medicaid Services (CMS) highlighted that COVID-19 case counts are more likely to be high in lower quality nursing homes than in higher quality ones. Since then, multiple studies have examined this association with a handful also exploring the role of facility quality in explaining resident deaths from the virus. Despite this wide interest, no previous study has investigated how the relation between quality and COVID-19 mortality among nursing home residents may have changed, if at all, over the progression of the pandemic. This understanding is indeed lacking given that prior studies are either cross-sectional or are analyses limited to one specific state or region of the country. To address this gap, we analyzed changes in nursing home resident deaths across the US between June 1, 2020 and January 31, 2021 (n = 12,415 nursing homes X 8 months) using both descriptive and multivariable statistics. We merged publicly available data from multiple federal agencies with mortality rate (per 100,000 residents) as the outcome and CMS 5-star quality rating as the primary explanatory variable of interest. Covariates, based on the prior literature, consisted of both facility- and community-level characteristics. Findings from our secondary analysis provide robust evidence of the association between nursing home quality and resident deaths due to the virus diminishing over time. In connection, we discuss plausible reasons, especially duration of staff shortages, that over time might have played a critical role in driving the quality-mortality convergence across nursing homes in the US.