Compassion fatigue and COVID-19: A global view from nurses.

BACKGROUND: Due to the rapid spread of COVID-19 variants, the number of people hospitalized for COVID-19 may create psychological burdens on nurses. Nurses with high levels of compassion fatigue (CF) are more likely to make work errors, deliver poor-quality care, and have greater intent to leave their position. OBJECTIVES: This study utilized the social-ecological model to examine factors associated with nurses' CF and compassion satisfaction (CS) during the COVID-19 pandemic. METHODS: Data were collected from the United States, Japan, and South Korea from July to December 2020. The Professional Quality of Life Scale was used to measure burnout (BO), secondary traumatic stress (STS), and CS. RESULTS: Data from 662 responses were used in the analysis. Mean scores were 25.04 (±6.44) for BO, 24.81 (±6.43) for STS, and 37.85 (±7.67) for CS. Multiple regression analyses indicated that resilience and intention to leave nursing were related to each study outcome (i.e., BO, STS, and CS). Greater resilience predicted lower BO and STS but greater CS, whereas intention to leave nursing indicated greater BO and STS, but lower CS. Furthermore, intrapersonal factors and organizational factors (i.e., nurses involved in developing policies to prepare for COVID-19 patients, organizational support, and personal protective equipment [PPE] provisions) were related to BO, STS, and CS. LINKING EVIDENCE TO PRACTICE: To promote nurses' psychological well-being, improvement of organizational factors such as support, PPE, and programs to enhance resilience is recommended to prepare for future emerging infectious disease crises.

Nurses' resilience in the face of coronavirus (COVID-19): An international view.

The purpose of this cross-sectional study was to examine factors associated with nurses' resilience during the COVID-19 pandemic. Data were collected in the latter half of 2020 from 904 nurses across Japan, Republic of Korea, Republic of Turkey, and the United States. The questionnaire included the Connor-Davidson Resilience Scale 10, plus demographics and 20 questions about practice environment, workplace safety concerning infection control, COVID-related experience, and organizational support. Fear of becoming infected, intention to leave nursing, and having had a positive COVID-19 test were inversely associated with resilience (p < 0.05). Regression analysis indicated that U.S. nurses had significantly greater resilience than nurses in the other countries examined (p < 0.001). Nurses reporting organization support and those who participated in policy and procedure development had higher resilience scores (p < 0.01). Organizational support, involving nurses in policy development, and country of practice were found to be important resilience factors in our research, which aligns with other findings. Further research is recommended to determine the optimal practice environment to support nurse resilience.

Aging through the time of COVID-19: a survey of self-reported healthcare access.

BACKGROUND: Chronic conditions are common and require ongoing continuous management and preventive measures. The COVID-19 pandemic may have affected the management of chronic conditions by delaying care. We sought to understand the impact of personal characteristics (i.e., age) and healthcare factors (i.e., access to a provider) on healthcare access in a sample of Americans 50 years of age or older during COVID-19. METHOD: Participants completed an online survey at the start of the COVID-19 pandemic - the Aging in the Time of COVID Survey. Questions focused on health status, health care access, COVID-19 fear, and social connectedness. Participants were recruited through social media advertisements, list serves, and snowball sampling. Data collection started in early April 2020 and concluded in late May 2020. Logistic regression models examined the results of two key access points: healthcare provider/doctor (n = 481) and medication (n = 765), with 56 and 93% of participants reporting access to a provider and medications, respectively. RESULTS: Individuals with an established primary care provider were much more likely to obtain access to a healthcare provider, OR = 3.81 (95% CI: 1.69, 8.77), and to receive medication, OR = 4.48 (95% CI: 1.61, 11.48), during the time of COVID-19. In addition, access to medication was (a) higher for those who were older, OR = 1.05 (95% CI: 1.01, 1.09), had a higher income (greater than 100 k compared to less than 50 k, OR = 3.04 (95% CI: 1.11, 8.98), and (b) lower for those having caregiving responsibilities, OR = 0.41 (95% CI: 0.21, 0.78), or greater social isolation, OR = 0.93 (95% CI: 0.87, 0.98). CONCLUSIONS: Although most participants had access to medication, just over half had access to a healthcare provider when needed. Notably, health-seeking behaviors for individuals who do not have an established primary care providers as well as those who provide unpaid care, are socially isolated, and younger may require more proactive approaches to care monitoring, management, and maintenance.

Impact of the COVID-19 pandemic on change in sleep patterns in an exploratory, cross-sectional online sample of 79 countries.

OBJECTIVES: To describe changes in sleep patterns during the coronavirus disease 2019 (COVID-19) pandemic, develop profiles according to these patterns, and assess sociodemographic, economic, COVID-19 related, and sleep and mental health factors associated with these profiles. DESIGN, SETTING, AND PARTICIPANTS: A 25-minute online survey was distributed worldwide through social media from 5/21/2020 to 7/1/2020. MEASUREMENTS: Participants reported sociodemographic/economic information, the impact of the pandemic on major life domains, insomnia and depressive symptoms, and changes in sleep midpoint, time-in-bed, total sleep time (TST), sleep efficiency (SE), and nightmare and nap frequency from prior to during the pandemic. Sleep pattern changes were subjected to latent profile analysis. The identified profiles were compared to one another on all aforementioned factors using probit regression analyses. RESULTS: The sample of 991 participants (ages: 18-80 years; 72.5% women; 60.3% residing outside of the United States) reported significantly delayed sleep midpoint, reductions in TST and SE, and increases in nightmares and naps. Over half reported significant insomnia symptoms, and almost two-thirds reported significant depressive symptoms. Latent profile analysis revealed 4 sleep pattern change profiles that were significantly differentiated by pre-pandemic sleep patterns, gender, and various COVID-19-related impacts on daily living such as severity of change in routines, and family stress and discord. CONCLUSIONS: In an international online sample, poor sleep and depressive symptoms were widespread, and negative shifts in sleep patterns from pre-pandemic patterns were common. Differences in sleep pattern response to the COVID-19 crisis suggest potential and early targets for behavioral sleep health interventions.

Age-Based Healthcare Stereotype Threat during the COVID-19 Pandemic.

Older adults have been identified as a high-risk population for COVID-19 by the United States Centers for Disease Control and Prevention (CDC). Though well-intentioned, this nonspecific designation highlights stereotypes of older adults as frail and in need of protection, exacerbating negative age-based stereotypes that can have adverse effects on older adults' well-being. Healthcare stereotype threat (HCST) is concern about being judged by providers and receiving biased medical treatment based on stereotypes about one's identity - in this case age. Given the attention to older adults' physical vulnerabilities during the COVID-19 pandemic, older adults may be especially worried about age-based judgments from medical providers and sensitive to ageist attitudes about COVID-19. Online data collection (April 13 to May 15, 2020) with adults aged 50 and older (N = 2325, M = 63.11, SD = 7.53) examined age-based HCST. Respondents who worried that healthcare providers judged them based on age (n = 584) also reported more negative COVID-19 reactions, including perceived indifference toward older adults, young adults' lack of concern about health, and unfavorable media coverage of older adults. The results highlight the intersection of two pandemics: COVID-19 and ageism. We close with consideration of the clinical implications of the results.

COVID-19 worry, mental health indicators, and preparedness for future care needs across the adult lifespan.

OBJECTIVE: The COVID-19 pandemic has been a source of worry for many, but older adults have been identified as more vulnerable to serious cases and may therefore feel more concerned about the virus. We assessed whether COVID-19 worry was related to indicators of mental health and preparedness for future care, in an adult lifespan sample. METHOD: An online study (n = 485; age 18-82, M = 49.31, SD = 15.39) included measures of COVID-19 worry, depression, general anxiety, health anxiety, hostile and benevolent ageism, preparedness for future care, and demographic information. RESULTS: Age and living alone were positively associated with greater COVID-19 worry, as were health anxiety, general anxiety, benevolent ageism, and preparedness for future care needs via gathering information. A significant interaction indicated that among individuals reporting lower health anxiety, greater preference for gathering information was positively associated with greater COVID-19 worry; however, for individuals having high health anxiety, gathering information about future care was not related to COVID-19 worry, as their COVID-19 worry levels were moderately high. CONCLUSION: Older age was associated with greater COVID-19 worry, perhaps in response to the much publicized greater risk for negative outcomes in this population. In spite of this specific concern, indicators of older adults' continued mental health emerged. Preparedness for future care is also highlighted, as well as clinical implications.