Perceived Work Environment, Educational Status, Staffing Levels, and Work Outcomes in Long-Term Care Settings During COVID-19

OBJECTIVES

Coronavirus disease (COVID-19) has severely affected older residents in long-term care (LTC) settings. However, care workers' perceptions of their work environment and potential impact on their work outcomes during the pandemic is not well known. This study examined associations between care staff's perceived work environment, educational status, and facility staffing levels and work outcomes of care staff in LTC settings during the COVID-19 pandemic.

DESIGN

This study employed a cross-sectional, observational, correlational design.

SETTING AND PARTICIPANTS

A total of 207 care staff were conveniently recruited from 30 LTC settings in South Korea.

METHODS

The perceived work environment, educational status of care staff, and facility staffing levels (ie, beds-to-registered nurse [RN] and beds-to-nursing assistant [NA] or care worker ratios), as well as their work outcomes (ie, general and COVID-19 specific outcomes) were collected using questionnaires. Multivariable binary logistic regressions were conducted, controlling for the characteristics of care staff (ie, age, sex, occupation, and career length) and facilities (ie, location, bed size, ownership, and residents' disease and care profiles).

RESULTS

Approximately 45% of the participants were either NAs or care workers, and 38% were RNs. More than half (53.14%) perceived their work environment to be good. LTC staff who perceived their work environment to be poor were more likely to be dissatisfied with their work [odds ratio (OR) 20.88), experience high burnout (OR 8.63), intend to leave the facility within a year (OR 5.00), and experience increased overtime work (OR 3.58) and work-life imbalance (OR 1.93) due to COVID-19.

CONCLUSIONS AND IMPLICATIONS

LTC work environments should be improved and government-led initiatives for ensuring such improvements should be implemented to enable a better response to future public health crises and maintain the quality of care for and safety of residents in LTC settings.

Transdiagnostic comparisons of intellectual abilities and work outcome in patients with mental disorders: multicentre study

BACKGROUND

Cognitive impairment is common in people with mental disorders, leading to transdiagnostic classification based on cognitive characteristics. However, few studies have used this approach for intellectual abilities and functional outcomes.

AIMS

The present study aimed to classify people with mental disorders based on intellectual abilities and functional outcomes in a data-driven manner.

METHOD

Seven hundred and forty-nine patients diagnosed with schizophrenia, bipolar disorder, major depression disorder or autism spectrum disorder and 1030 healthy control subjects were recruited from facilities in various regions of Japan. Two independent k-means cluster analyses were performed. First, intelligence variables (current estimated IQ, premorbid IQ, and IQ discrepancy) were included. Second, number of work hours per week was included instead of premorbid IQ.

RESULTS

Four clusters were identified in the two analyses. These clusters were specifically characterised in terms of IQ discrepancy in the first cluster analysis, whereas the work variable was the most salient feature in the second cluster analysis. Distributions of clinical diagnoses in the two cluster analyses showed that all diagnoses were unevenly represented across the clusters.

CONCLUSIONS

Intellectual abilities and work outcomes are effective classifiers in transdiagnostic approaches. The results of our study also suggest the importance of diagnosis-specific strategies to support functional recovery in people with mental disorders.

Improving Work Outcome in Supported Employment for Serious Mental Illness: Results From 2 Independent Studies of Errorless Learning

BACKGROUND

Heterogeneity in work outcomes is common among individuals with serious mental illness (SMI).

OBJECTIVE

In 2 studies, we sought to examine the efficacy of adding errorless learning, a behavioral training intervention, to evidence-based supported employment to improve SMI work outcomes. Work behavior problems were targeted for intervention. We also explored associations between early work behavior and job tenure.

METHODS

For both studies (VA: n = 71; community mental health center: n = 91), randomization occurred at the time of job obtainment with participants randomized (1:1) to either errorless learning plus ongoing supported employment or ongoing supported employment alone and then followed for 12 months. Dependent variables included job tenure, work behavior, and hours worked and wages earned per week. For the primary intent-to-treat analyses, data were combined across studies.

RESULTS

Findings revealed that participants in the errorless learning plus supported employment group stayed on their jobs significantly longer than those in the supported employment alone group (32.8 vs 25.6 wk). In addition, differential treatment effects favoring errorless learning were found on targeted work behavior problems (50.5% vs 27.4% improvement from baseline to follow-up assessment). There were no other differential treatment effects. For the prediction analyses involving work behavior, social skills explained an additional 18.3% of the variance in job tenure beyond levels of cognition, symptom severity, and past work history.

CONCLUSIONS

These data support errorless learning as an adjunctive intervention to enhance supported employment outcomes and implicate the relevance of workplace social difficulties as a key impediment to prolonged job tenure.