Longitudinal Associations of Staff Shortages and Staff Levels with Health Outcomes in Nursing Homes.

OBJECTIVES: To examine whether facility-reported staff shortages and total staff levels were independently associated with changes in nursing home (NH) outcomes in 2020. DESIGN: Longitudinal cohort study. SETTING AND PARTICIPANTS: A total of 8466 NHs with staffing and outcome data. METHODS: This study used NH COVID-19 Public File (2020), Nursing Home Compare (2019-2020), and Payroll-Based Journal data (2019-2020). Outcome measures included the percentage of long-stay residents in a facility with declines in activities in daily living (ADLs), decreases in mobility, weight loss, and pressure ulcers in 2020 Q2, 2020 Q3, and 2020 Q4. Independent variables were whether NHs reported any shortage of aides or licensed nurses and total staff hours per resident day (HPRD). Separate 2-level (NH, state) Hierarchical Generalized Linear Mixed models examined the association of facility-reported shortages and staff hours with key NH resident outcomes, controlling for NH characteristics and COVID-19 infections. RESULTS: The weekly percentage of NHs reporting any staff shortage averaged 20%. Total staff HPRD increased slightly from 3.7 in 2019 to 3.8 in 2020. Health outcomes were stable during 2019 and 2020 Q1 but worsened substantially starting in 2020 Q2. For example, the percentage of residents with mobility loss increased from 16.2% in 2020 Q1 to 27.9% in 2020 Q4. Facility-reported staff shortages were associated with an increase in the proportion of residents with an ADL decline (0.54 percentage points), mobility loss (0.80 percentage points), weight loss (0.22 percentage points), and pressure ulcers (0.22 percentage points) (all P < .01). Total staff HPRD was not associated with changes in any outcomes (all P > .05). CONCLUSIONS AND IMPLICATIONS: NHs reported worsened health outcomes among long-stay residents in 2020, with worse outcomes found among facilities that reported staff shortages but not among those with lower total staff levels. Facility-reported shortages provide important quality information during the COVID-19 pandemic.

Relationship between Anxiety, Depression and Learning Burnout of Nursing Undergraduates after the COVID-19 Epidemic: The Mediating Role of Academic Self-Efficacy.

BACKGROUND: Although cross-sectional studies on the learning status of nursing undergraduates during the COVID-19 epidemic have surged, few studies have explored the normalization of COVID-19 on students' learning burnout and mental health. The study was designed to investigate the learning burnout of nursing undergraduates in school under the normalization of the COVID-19 epidemic and explore the hypothesized mediation effect of academic self-efficacy in the relationship between anxiety, depression and learning burnout in Chinese nursing undergraduates. METHODS: A cross-sectional study was conducted among nursing undergraduates in the school of nursing of a university in Jiangsu Province, China (n = 227). A general information questionnaire, College Students' Learning Burnout Questionnaire, Generalized Anxiety Disorder Scale (GAD-7), and Patient Health Questionnaire depression scale (PHQ-9) were administered. Descriptive statistical analysis, Pearson correlation analysis, and multiple linear regression analysis were performed via SPSS 26.0. Process plug-in (Model 4) was used to test the mediating effect of academic self-efficacy (bootstrap 5000 iterations, α = 0.05). RESULTS: Learning burnout (54.1 ± 0.656) was positively correlated with anxiety (4.6 ± 0.283) and depression (5.3 ± 0.366) (p < 0.01) and was negatively correlated with academic self-efficacy (74.41 ± 0.674) (p < 0.01). Academic self-efficacy plays a mediating role between anxiety and learning burnout (0.395/0.493, 80.12%) and a mediating role between depression and learning burnout (0.332/0.503, 66.00%). CONCLUSION: Academic self-efficacy has a significant predictive effect on learning burnout. Schools and teachers should strengthen the screening and counselling of students' psychological problems, detect learning burnout caused by emotional problems in advance and improve students' initiative and enthusiasm for learning.

Excess deaths from COVID-19 among Medicare beneficiaries with psychiatric diagnoses: community versus nursing home.

BACKGROUND: Psychiatric illness may pose an additional risk of death for older adults during the COVID-19 pandemic. Older adults in the community versus institutions might be influenced by the pandemic differently. This study examines excess deaths during the COVID-19 pandemic among Medicare beneficiaries with and without psychiatric diagnoses (depression, anxiety, bipolar disorder, and schizophrenia) in the community versus nursing homes. METHODS: This is a retrospective cohort study of a 20% random sample of 15,229,713 fee-for-service Medicare beneficiaries, from January 2019 through December 2021. Unadjusted monthly mortality risks, COVID-19 infection rates, and case-fatality rates after COVID-19 diagnosis were calculated. Excess deaths in 2020, compared to 2019 were estimated from multivariable logistic regressions. RESULTS: Of all included Medicare beneficiaries in 2020 (N = 5,140,619), 28.9% had a psychiatric diagnosis; 1.7% lived in nursing homes. In 2020, there were 246,422 observed deaths, compared to 215,264 expected, representing a 14.5% increase over expected. Patients with psychiatric diagnoses had more excess deaths than those without psychiatric diagnoses (1,107 vs. 403 excess deaths per 100,000 beneficiaries, p < 0.01). The largest increases in mortality risks were observed among patients with schizophrenia (32.4% increase) and bipolar disorder (25.4% increase). The pandemic-associated increase in deaths with psychiatric diagnoses was only found in the community, not in nursing homes. The increased mortality for patients with psychiatric diagnoses was limited to those with medical comorbidities. The increase in mortality for psychiatric diagnoses was associated with higher COVID-19 infection rates (1-year infection rate = 7.9% vs. 4.2% in 2020), rather than excess case fatality. CONCLUSIONS: Excess deaths during the COVID-19 pandemic were disproportionally greater in beneficiaries with psychiatric diagnoses, at least in part due to higher infection rates. Policy interventions should focus on preventing COVID-19 infections and deaths among community-dwelling patients with major psychiatric disorders in addition to those living the nursing homes.

Anxiety and sleep quality among front-line nurses treating first wave COVID-19 in China: The mediating role of mindfulness.

AIM: To explore anxiety, sleep quality, and mindfulness of frontline nurses at the initial epicenter of the pandemic, to examine the mediating effects of mindfulness. BACKGROUND: COVID-19 was first identified in Wuhan, China in January 2020. Nurses were at the forefront of care and treatment across hospitals in response to the pandemic. METHODS: Single site cross-sectional survey conducted in Wuhan province (China) between March and April in 2020. Quantitative analysis of survey data from N118 nurses working in the frontline COVID response. Questionnaires included: The general information questionnaire, the Self-Anxiety Scale, the Short Inventory of Mindfulness, and the Pittsburgh Sleep Quality Index. RESULTS: Front-line nurses' anxiety was positively associated with sleep quality and mindfulness was negatively associated with anxiety and sleep quality. Mindfulness had a mediating role on anxiety and sleep quality, with intermediary adjustment effects (ES = 0.136, 95 % CI 0.02 to 0.26), accounting for 21.9 % of the total effect ratio. CONCLUSIONS: Anxiety causes a reduction in sleep quality and mindfulness can help with anxiety. Mindfulness strategies may help during periods of higher anxiety in the workplace; however, other factors must be considered. Further research is required on strategies for assisting nurses during periods of extreme anxiety.

Psychological Impact and Compliance with Staying at Home of the Public to COVID-19 Outbreak during Chinese Spring Festival.

In December 2019, COVID-19 was reported in Wuhan, China. Most of the studies related to the psychological impact and compliance with staying at home due to COVID-19 focused on ten days or one month after the initial "stay-at-home" phase of the COVID-19 pandemic. The early psychological impact and behavior change to COVID-19 during the Chinese Spring Festival (the start time for recommendations to stay at home) is uncertain. In this study, people from 23 provinces in China were recruited to participate in an online survey, using Credamo. Psychological impact and compliance with staying at home were evaluated by a self-designed and validated questionnaire. The results indicated that anxiety was the most often reported feeling (mean: 3.69), followed by sadness (mean: 3.63). Participants employed in foreign-owned companies were most likely to express anxiety and sadness. Overall, 61.8% of participants reported hardly going out, whereas 2.4% said they frequently went out during the initial "stay-at-home" phase of the COVID-19 pandemic. Participants with higher levels of anxiety and sadness were most likely to stay at home against the spread of COVID-19, as were female gender. This survey is an important study of the first reaction to staying at home during the initial "stay-at-home" phase coinciding with Chinese Spring Festival. Our findings identified factors associated with higher level of psychological impact and better compliance with staying at home recommendations during Chinese Spring Festival. The findings can be used to formulate precaution interventions to improve the mental health of vulnerable groups and high uptake of policy during the COVID-19 epidemic.

Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses.

AIM: This study aims to develop a reliable and validate Chinese version of Oldenburg Burnout Inventory (OLBI). DESIGN: A cross-sectional validation design was adopted in this study. METHODS: After obtaining the copyright by contacting with the author, the original English OLBI was developed to Chinese by forward translation, back-translation, cultural adaptation and a pre-test (20 nurses). The Chinese OLBI and Maslach Burnout Inventory (MBI) were administered to 641 clinical nurses during July and August, 2020. Internal consistency (Cronbach's α coefficient), split reliability (split half coefficient), construct validity (confirmatory factor analysis) and criterion validity (comparison with MBI, using Pearson correlation analysis) were assessed. RESULTS: The Chinese OLBI included 16 items. Exploratory factor analysis extracted two factors with a cumulative contribution of 62.245%. Two-dimensional structure (exhaustion and disengagement) was confirmed. It has good internal consistency (Cronbach's α coefficient values of 0.905, 0.933 and 0.876 for the total questionnaire, exhaustion dimension and disengagement dimension, respectively), split half reliability (split half coefficient = 0.883, p < .01) and criterion validity (r = 0.873, p < .01). Pearson coefficients between 16 items and the scale varied from 0.479-0.765. An acceptable model fit (χ2 /df = 2.49, RMSEA = 0.068, TLI = 0.906, CFI = 0.922, SRMR = 0.061) was achieved.

China's Successful Recruitment of Healthcare Professionals to the Worst-Hit City: A Lesson Learned.

The outbreak of coronavirus disease in 2019 (COVID-19) in Wuhan has led Chinese health authorities to recruit healthcare providers from the least-affected areas to provide care to the infected patients in Wuhan. We took further steps to explain some plausible reasons for their experiences. We used interpretative phenomenological analysis (IPA) to understand the subjective experiences, as well as the reasons for these experiences among the healthcare providers who had traveled from the least-affected parts of China to render aid during Wuhan's COVID-19 outbreak. Using purposive and snowball sampling, healthcare professionals were recruited from three major hospitals in Jiangsu province. Semi-structured interviews were conducted from 1 September to 14 November 2020 in face-to-face contexts. Ten nurses and four doctors provided their informed consent for the study. The primary superordinate theme from the responses highlighted how social identity and individual needs were challenged by each individual's professional ethics. COVID-19 not only presents significant risks to the health of nurses and medical doctors; it further challenges their emotional and psychosocial wellbeing. Care should be taken in allocating support and help, with the careful deployment of professional values and beliefs, so that any human resource as precious as medical doctors and nurses can be protected.

Ethical dilemmas faced by frontline support nurses fighting COVID-19.

BACKGROUND: In 2019, an outbreak of COVID-19 broke out in Hubei, China. Medical workers from all over the country rushed to Hubei and participated in the treatment and care of COVID-19 patients. These nurses, dedicated to their professional practice, volunteered to provide compassion and expert clinical care during the pandemic. As with other acts of heroism, the ethical dilemmas associated with working on the front line must be considered for future practice. PURPOSE: To explore the ethical dilemmas of frontline nurses of Jiangsu Province in China during deployment to Wuhan to fight the novel coronavirus pneumonia, and to provide a basis for developing strategies to help nursing staff address personal and practice concerns in order to work more effectively during this pandemic and other disasters in the future. RESEARCH DESIGN AND METHOD: Using the phenomenological research method and the purpose sampling method, semi-structured interviews were conducted with 10 nurses, post-deployment to Wuhan, who had worked on the front line to fight the novel coronavirus. ETHICAL CONSIDERATIONS: The research proposal was approved by the Research Ethic Committee of Yangzhou University, China. FINDINGS: From the analysis of the interviews of the 10 participants, three main themes were identified: ethical dilemmas in clinical nursing, ethical dilemmas in interpersonal relationships, and ethical dilemmas in nursing management. CONCLUSION: During a quick response to public health emergencies, where nurses are deployed immediately as a call to action, the issues surrounding ethical dilemmas from several perspectives must be considered. This research suggests that a team approach to proactive planning and open communication during the emergency is an efficient and productive strategy to improve the nurses' experience and sense of well-being.

Shortages of Staff in Nursing Homes During the COVID-19 Pandemic: What are the Driving Factors?

OBJECTIVES: During the Coronavirus Disease 2019 (COVID-19) pandemic, US nursing homes (NHs) have been under pressure to maintain staff levels with limited access to personal protection equipment (PPE). This study examines the prevalence and factors associated with shortages of NH staff during the COVID-19 pandemic. DESIGN: We obtained self-reported information on staff shortages, resident and staff exposure to COVID-19, and PPE availability from a survey conducted by the Centers for Medicare and Medicaid Services in May 2020. Multivariate logistic regressions of staff shortages with state fixed-effects were conducted to examine the effect of COVID-19 factors in NHs. SETTING AND PARTICIPANTS: 11,920 free-standing NHs. MEASURES: The dependent variables were self-reported shortages of licensed nurse staff, nurse aides, clinical staff, and other ancillary staff. We controlled for NH characteristics from the most recent Nursing Home Compare and Certification and Survey Provider Enhanced Reporting, market characteristics from Area Health Resources File, and state Medicaid reimbursement calculated from Truven data. RESULTS: Of the 11,920 NHs, 15.9%, 18.4%, 2.5%, and 9.8% reported shortages of licensed nurse staff, nurse aides, clinical staff, and other staff, respectively. Georgia and Minnesota reported the highest rates of shortages in licensed nurse and nurse aides (both >25%). Multivariate regressions suggest that shortages in licensed nurses and nurse aides were more likely in NHs having any resident with COVID-19 (adjusted odds ratio [AOR] = 1.44, 1.60, respectively) and any staff with COVID-19 (AOR = 1.37, 1.34, respectively). Having 1-week supply of PPE was associated with lower probability of staff shortages. NHs with a higher proportion of Medicare residents were less likely to experience shortages. CONCLUSIONS/IMPLICATIONS: Abundant staff shortages were reported by NHs and were mainly driven by COVID-19 factors. In the absence of appropriate staff, NHs may be unable to fulfill the requirement of infection control even under the risk of increased monetary penalties.