Sick Leave and Intention to Quit the Job among Nursing Staff in German Hospitals during the COVID-19 Pandemic

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Abstract

Background: Sick leave and turnover of nurses exacerbate an already existing nursing shortage during the COVID-19 pandemic in Germany and other countries. Frequency and associated factors of sick leave and intention to quit among nurses need to be examined to maintain healthcare. Methods: An online survey among nursing staff (N = 757) in German hospitals was conducted between May and July 2021. Sick leave days, intention to quit, working conditions, depression, anxiety and sleep disorder symptoms, effort-reward imbalance (ERI), COVID-19-related and sociodemographic variables were measured. Regression analyses were performed. Results: The intention to quit was present in 18.9%. One third (32.5%) reported sick leave of ≥10 and 12.3% more than 25 days in 12 months. Significant predictors for ≥10 sick leave days were infection with SARS-CoV-2, a pre-existing illness, exhaustion, trust in colleagues and fear of becoming infected. Higher ERI reward levels, perception of sufficient staff and contact with infected patients were associated with lower odds for ≥10 sick leave days. Lower reward levels, having changed work departments during the pandemic, working part-time and higher depression levels significantly predicted turnover intention. Conclusion: Alarmingly, many nurses intend to quit working in healthcare. Perceived reward seems to buffer both sick leave and turnover intention. Enhancing protection from COVID-19 and reducing workload might also prevent sick leave. Depression prevention, improved change management and support of part-time workers could contribute to reducing turnover intention among nurses.

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Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis

Sofia Pappa, Vasiliki Ntella, Timoleon Giannakas … (2020)

Highlights • At least one in five healthcare professionals report symptoms of depression and anxiety. • Almost four in 10 healthcare workers experience sleeping difficulties and/or insomnia. • Rates of anxiety and depression were higher for female healthcare workers and nursing staff. • Milder mood symptoms are common and screening should aim to identify mild and sub-threshold syndromes.

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Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection.

Kurt Kroenke, Robert L Spitzer, Janet B.W. Williams … (2007)

Anxiety, although as common as depression, has received less attention and is often undetected and undertreated. To determine the current prevalence, impairment, and comorbidity of anxiety disorders in primary care and to evaluate a brief measure for detecting these disorders. Criterion-standard study performed between November 2004 and June 2005. 15 U.S. primary care clinics. 965 randomly sampled patients from consecutive clinic patients who completed a self-report questionnaire and agreed to a follow-up telephone interview. 7-item anxiety measure (Generalized Anxiety Disorder [GAD]-7 scale) in the clinic, followed by a telephone-administered, structured psychiatric interview by a mental health professional who was blinded to the GAD-7 results. Functional status (Medical Outcomes Study Short Form-20), depressive and somatic symptoms, and self-reported disability days and physician visits were also assessed. Of the 965 patients, 19.5% (95% CI, 17.0% to 22.1%) had at least 1 anxiety disorder, 8.6% (CI, 6.9% to 10.6%) had posttraumatic stress disorder, 7.6% (CI, 5.9% to 9.4%) had a generalized anxiety disorder, 6.8% (CI, 5.3% to 8.6%) had a panic disorder, and 6.2% (CI, 4.7% to 7.9%) had a social anxiety disorder. Each disorder was associated with substantial impairment that increased significantly (P < 0.001) as the number of anxiety disorders increased. Many patients (41%) with an anxiety disorder reported no current treatment. Receiver-operating characteristic curve analysis showed that both the GAD-7 scale and its 2 core items (GAD-2) performed well (area under the curve, 0.80 to 0.91) as screening tools for all 4 anxiety disorders. The study included a nonrandom sample of selected primary care practices. Anxiety disorders are prevalent, disabling, and often untreated in primary care. A 2-item screening test may enhance detection.

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A 4-item measure of depression and anxiety: validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population.

Bernd Löwe, Inka Wahl, Matthias Rose … (2010)

The 4-item Patient Health Questionnaire-4 (PHQ-4) is an ultra-brief self-report questionnaire that consists of a 2-item depression scale (PHQ-2) and a 2-item anxiety scale (GAD-2). Given that PHQ-4, PHQ-2, and GAD-2 have not been validated in the general population, this study aimed to investigate their reliability and validity in a large general population sample and to generate normative data. A nationally representative face-to-face household survey was conducted in Germany in 2006. The survey questionnaire consisted of the PHQ-4, other self-report instruments, and demographic characteristics. Of the 5030 participants (response rate=72.9%), 53.6% were female and mean (SD) age was 48.4 (18.0) years. The sociodemographic characteristics of the study sample closely match those of the total populations in Germany as well as those in the United States. Confirmatory factor analyses showed very good fit indices for a two-factor solution (RMSEA .027; 90% CI .023-.032). All models tested were structurally invariant between different age and gender groups. Construct validity of the PHQ-4, PHQ-2, and GAD-2 was supported by intercorrelations with other self-report scales and with demographic risk factors for depression and anxiety. PHQ-2 and GAD-2 scores of 3 corresponded to percentile ranks of 93.4% and 95.2%, respectively, whereas PHQ-2 and GAD-2 scores of 5 corresponded to percentile ranks of 99.0% and 99.2%, respectively. A criterion standard diagnostic interview for depression and anxiety was not included. Results from this study support the reliability and validity of the PHQ-4, PHQ-2, and GAD-2 as ultra-brief measures of depression and anxiety in the general population. The normative data provided in this study can be used to compare a subject's scale score with those determined from a general population reference group. Copyright 2009 Elsevier B.V. All rights reserved.