Nightmare distress, insomnia and resilience of nursing staff in the post-pandemic era
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ABSTRACT:
SUBMITTER: Pachi A
PROVIDER: S-EPMC11007420 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
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Project description:Recent studies indicate that nurses experienced high levels of occupational burnout and insomnia during and after the pandemic and highlight resilience as a crucial competence for overcoming adversity. The aim of this study was to assess occupational burnout, insomnia, and psychological resilience and to explore their interrelations among Greek nurses 14 months after the official ending of the pandemic which was declared in May 2023. The study was conducted online in July 2024 and included 380 nurses currently working in Greek hospitals, who completed the Copenhagen Burnout Inventory (CBI), the Athens Insomnia Scale (AIS), and the Brief Resilience Scale (BRS). Overall, 56.1% of the nurses exhibited insomnia symptoms and 46.8% displayed signs of occupational burnout. Low resilience scores were observed in 26.3%. Multiple regression analysis indicated that CBI explained 34.4% of the variance in the AIS scores, while an additional 3% was explained by the BRS. Mediation analysis revealed that resilience operates protectively as a negative mediator in the relationship between burnout and insomnia. In conclusion, one year after the end of the pandemic the levels of occupational burnout and insomnia among nurses remain high, whereas psychological resilience seems to be retained at moderate levels. Consequently, there is an urgent need to regularly monitor for risk of burnout and insomnia and to implement resilience-building strategies for nurses to combat burnout and improve insomnia symptoms.
| S-EPMC11851848 | biostudies-literature
Project description:BackgroundThe COVID-19 global pandemic has had profound effects on mental health and wellbeing. The present study examined trends in distress and recovery in the aftermath of COVID-19 in China. Predictors that might increase risks or provide protections again distress were explored.MethodParticipants were recruited using social media during the COVID-19 pandemic to complete a baseline and 6-week follow-up survey (N = 241). The change patterns of PTSD symptoms from baseline to follow-up were characterized using latent class growth analysis (LCGA). A repeated-measures ANOVA was conducted to explore the differences in the depressive symptoms across trajectory groups. Multinominal logistic regression was performed to investigate potential predictors of the outcome trajectories.ResultsFour longitudinal outcome trajectories were identified: chronic (PTSD symptoms remained high; 14.9%), resilient (symptoms remained low; 43.2%), recovered (symptoms decreased from symptomatic levels to asymptomatic; 19.5%), and delayed (symptoms increased from asymptomatic levels to symptomatic; 22.4%). Hopelessness and maladaptive coping strategies were unique predictors of distress and resilience as well as longer-term trajectories.ConclusionIndividuals evidenced four outcome trajectories of distress in the aftermath of COVID-19 in China. Despite the uncertainty and high levels of stress related to the pandemic, the majority of the sample demonstrated resilience and recovery. It is essential to identify individuals at risk for chronic and delayed distress in order to build resilience.
| S-EPMC8533665 | biostudies-literature
Project description:BackgroundResilience has been studied as an effective concept in nursing that acts as a protective factor which aids in overcoming difficult situations and related mental problems. With the recent increase in demand for nursing homes, nursing home nursing staff are facing a variety of stresses and psychological burdens. Improving resilience has been suggested as one way to deal with the difficulties, such as stress, exhaustion, and burnout, that nursing home nursing staff are experiencing. In order to provide successful education aimed at improving such resilience, it is very important to understand how to perceive experience from the learner's point of view.AimThe study's aim is to identify the ways that nursing home nursing staff build resilience.MethodThis study used phenomenography, a methodology for exploring the relationship between subject and phenomenon. From January 15, 2022 to February 20, 2022, data collection was undertaken at three nursing homes located in the Republic of Korea. The data was collected through semi-structured interviews with 20 nursing staff members in NHs and a data analysis that strictly followed the 7-step analysis process of phenomenography.ResultsEight categories were derived. The eight categories were then divided into two groups of four representing perception and strategy. Perception included four categories: 'grasping the situation', 'thinking about one's responsibility for the resident and personal values', 'considering one's strength' and 'thinking of an improved self'. Strategy included four categories: 'evaluation of oneself and one's environment', 'taking care of oneself', 'finding concrete ways to manage the problem' and 'self-development for growth'. Perception had three levels of awareness, valuing and assuring, while strategy had three levels of identifying, introspecting and concretizing.ConclusionThis study provides insight into how individual nursing staff build resilience, a complex and subjective concept. It provides a foundation for future resilience education of nursing home nursing staff and suggests future educational intervention development directions.
| S-EPMC9667428 | biostudies-literature
Project description: Not available
| S-EPMC10543619 | biostudies-literature
Project description:The diagnosis of a nightmare disorder is based on clinically significant distress caused by the nightmares, e.g., sleep or mood disturbances. In order to understand nightmare etiology better empirical research should focus on studying factors that affect nightmare distress in addition to nightmare frequency. Overall, 2492 persons (1437 woman, 1055 men) completed the online survey. Nightmare frequency, global nightmare distress, and personality traits were measured. The findings indicate that in addition to nightmare frequency heightened emotional reactivity measured as neuroticism contribute to global nightmare distress and, thus, supporting the neurocognitive model of Levin and Nielsen (2007). Moreover, the recurring nightmares that relate to a waking-life event were associated with higher nightmare distress. From a clinical viewpoint, it would be desirable to carry out similar surveys using diagnostic interviews in order to determine the presence of a nightmare disorder and study the variables that are related to that diagnosis.
| S-EPMC6932850 | biostudies-literature
Project description:ObjectiveThis study aimed to elicit the stated job preferences of Chinese medical staff in the post-pandemic era and identify the relative importance of different factors in the practice environment.MethodsWe used an online discrete choice experiment (DCE) survey instrument to elicit the job preferences of medical staff (doctors and nurses) in tertiary hospitals in Anhui, China. Attributes and levels were generated using qualitative methods, and four attributes were considered: career development, workload, respect from society, and monthly income. A set of profiles was created using a D-efficient design. The data were analyzed considering potential preference heterogeneity, using the conditional logit model and the latent class logit (LCL) model.ResultsA total of 789 valid questionnaires were included in the analysis, with an effective response rate of 73.33%. Career development, workload, respect from society, and monthly income were significant factors that influenced job preferences. Three classes were identified based on the LCL model, and preference heterogeneity among different medical staff was demonstrated. Class 1 (16.17%) and Class 2 (43.51%) valued respect from society most, whereas Class 3 (40.32%) prioritized monthly income. We found that when respect from society was raised to a satisfactory level (50-75% positive reviews), the probability of medical staff choosing a certain job increased by 69.9%.ConclusionRespect from society was the most preferred attribute, while workload, monthly income, and career development were all key factors in the medical staff's job choices. The heterogeneity of the medical professionals' preferences shows that effective policy interventions should be customized to accommodate these drive preferences.
| S-EPMC9340264 | biostudies-literature
Project description:Objective/backgroundTo describe and characterize insomnia symptoms and nightmare profiles in Portugal during the first six weeks of a national lockdown due to COVID-19.Patients/methodsAn open cohort study was conducted to collect information of the general population during the first wave of SARS-CoV-2/COVID-19 pandemic in Portugal. We analyzed data from 5011 participants (≥16 years) who answered a weekly questionnaire about their well-being. Two questions about the frequency of insomnia and nightmares about COVID-19 were consecutively applied during six weeks (March-May 2020). Latent class analysis was conducted and different insomnia and nightmare profiles were identified. Associations between individual characteristics and both profiles were estimated using odds ratios (ORs) and 95% confidence intervals (CI).ResultsFive insomnia (No insomnia, Stable-mild, Decreasing-moderate, Stable-severe, Increasing-severe) and three nightmares profiles (Stable-mild, Stable-moderate, Stable-severe) were identified. Being female, younger, perceiving their income as insufficient and feelings of fear towards COVID-19 were associated with higher odds of insomnia (Women: OR = 6.98 95%CI: 4.18-11.64; ≥60 years: OR = 0.30 95%CI: 0.18-0.53; Insufficient income: adjusted OR (aOR) = 8.413 95%CI: 3.93-16.84; Often presenting fear of being infected with SARS-CoV-2 infection: aOR = 9.13 95%CI: 6.36-13.11), and nightmares (Women: OR = 2.60 95%CI: 1.74-3.86; ≥60 years: OR = 0.45 95%CI: 0.28-0.74; Insufficient income: aOR = 2.60 95%CI: 1.20-5.20; Often/almost always presenting fear of being infected with SARS-CoV-2 infection: aOR = 6.62 95%CI: 5.01-8.74). Having a diagnosis of SARS-CoV-2 virus infection was associated with worse patterns of nightmares about the pandemic.ConclusionsSocial and psychological individual factors are important characteristics to consider in the development of therapeutic strategies to support people with sleep problems during the COVID-19 pandemic.
| S-EPMC8744402 | biostudies-literature
Project description:In the post-pandemic era, food supply chains and firms therein are facing unprecedented severe challenges, because once infection is detected, numerous products must be recalled or abandoned, and both suppliers and retailers in the supply chain suffer enormous loss. To survive under the pandemic, retailers have adopted different sourcing strategies, such as contingent sourcing, which, in turn, affect the upstream suppliers and hence the resilience of the whole supply chain. With the rapid development of digital technologies, retailers nowadays can utilize blockchain as a reliable and efficient way to reduce product risk and hence advance the resilience of food supply chains by improving product traceability and inspection accuracy, and making sourcing transparent. In this paper, we develop a game-theoretic model to investigate the interrelation between the retailer’s decisions on blockchain adoption and sourcing strategies. We consider that a retailer originally orders from a risky supplier while conducting an imperfect inspection to detect infected products before selling. The retailer may speculatively keep on ordering from the risky supplier or adopt contingent sourcing by ordering from an alternative safe supplier. The retailer also has an option to implement blockchain to improve the inspection accuracy and product traceability. We derive the optimal retail prices under different sourcing strategies with and without blockchain adoption and then analyze the incentives for sourcing strategy and blockchain adoption. Then, we identify the conditions of an all-win situation for food retailer, supplier, supply chain resilience, and consumers with/without government subsidy. Finally, we extend to consider the situation that some consumers have health-safety concerns and preferences for blockchain adoption. Electronic Supplementary Material Supplementary material is available in the online version of this article at 10.1007/s42524-022-0232-2 and is accessible for authorized users.
| S-EPMC9930005 | biostudies-literature
Project description:BackgroundAlthough slack is an asset to resilient hospitals, it is usually explicitly discussed only in terms of the quantity and quality of beds and staff. This paper expands this view by addressing slack in four infrastructures of intensive care units (ICUs) (physical space, electricity supply, oxygen supply, and air treatment) during the COVID pandemic.MethodsThe study occurred in a leading private hospital in Brazil, aiming at the identification of slack in four units originally designed as ICUs and two units adapted as ICUs. Data collection was based on 12 interviews with healthcare professionals, documents, and comparison between infrastructures and regulatory requirements.ResultsTwenty-seven instantiations of slack were identified, with several indications that the adapted ICUs did not provide infrastructure conditions as good as the designed ones. Findings gave rise to five propositions addressing: relationships intra and inter infrastructures; the need for adapted ICUs that match as closely as possible the designed ICUs; the consideration of both clinical and engineering perspectives in design; and the need for the revision of some requirements of the Brazilian regulations.ConclusionsResults are relevant to both the designers of the infrastructures and to the designers of clinical activities as these must take place in fit-for-purpose workspaces. Top management might also benefit as they are the ultimate responsible for decision-making on whether or not to invest in slack. The pandemic dramatically demonstrated the value of investing in slack resources, creating momentum for this discussion in health services.
| S-EPMC10241554 | biostudies-literature
Project description:AimTo describe the state of health of Quebec nursing staff during the pandemic according to their exposure to COVID-19, work-related characteristics and sociodemographic factors (gender, generational age group). State of health was captured essentially by assessing psychological distress, depression symptoms and fatigue.Design and methodsA large-scale cross-sectional study was conducted with 1,708 nurses and licenced practical nurses in Quebec (87% women, mean age of 41 ± 11 years). The survey included several questionnaires and validated health-related scales (psychological distress, depression symptoms and fatigue). The STROBE guidelines were followed in reporting the study's findings.ResultsResults showed that the prevalence of psychological distress and depression symptoms was moderate to severe. Women, generation Xers and Yers, nurses who cared for COVID-19 patients and those with a colleague who was infected with COVID-19 at work scored higher for fatigue, psychological distress and depression.
| S-EPMC8994967 | biostudies-literature