Background The COVID-19 pandemic is currently a severe challenge for healthcare workers, with a considerable impact on their mental health. In order to focus preventive and rehabilitation measures it’s fundamental to identify risk factors of such psychological impairment. We designed an observational longitudinal study to systematically examine the psychological wellbeing of all employees in a large University Hospital in Italy, using validated psychometric scales in the context of the occupational physician’s health surveillance, in collaboration with Psychiatric Unit. Methods The study started after ethical approval in August 2020. For each worker, the psychological wellbeing is screened in two steps. The first level questionnaire collects sociodemographic characteristics, personal and occupational COVID-19 exposure, worries and concerns about COVID-19, general psychological discomfort (GHQ-12), post-traumatic stress symptoms (IES-R) and anxiety (GAD-7). Workers who score above the cut-off in at least one scale are further investigated by the second level questionnaire composed by PHQ-9, DES-II and SCL-90. If second level shows psychological impairments, we offer individual specialist treatment (third level). We plan to follow-up all subjects to monitor symptoms and possible chronicization; we aim to investigate potential risk factors through univariate analysis and multivariate logistic regressions. Results Preliminary results refer to a sample of 550 workers who completed the multi-step evaluation from August to December 2020, before vaccination campaign started. The participation rate was 90%. At first level screening, 39% of the subjects expressed general psychological discomfort (GHQ-12), 22% post-traumatic stress symptoms (IES-R), and 21% symptoms of anxiety (GAD-7). Women, nurses, younger workers, subjects with COVID-19 working exposure and with an infected family member showed significantly higher psychological impairment compared to colleagues. After the second level screening, 12% and 7% of all workers showed, respectively, depressive and dissociative symptoms; scorings were significantly associated with gender and occupational role. We are currently extending sample size and evaluating subjects over a period of further 12 months. Conclusions The possibility to perform a systematic follow-up of psychological wellbeing of all hospital workers, directly or indirectly exposed to pandemic consequences, constitutes a unique condition to detect individual, occupational, and non-occupational risk factors for psychological impairment in situations of prolonged stress, as well as variables associated with symptoms chronicization.
Background: Research has shown the substantial impact of the COVID-19 pandemic on healthcare workers’ (HCWs) mental health, however, it mostly relies on data collected during the early stages of COVID-19. The aim of this study is to assess the long-term trajectory of HCWs’ mental health and the associated risk factors. Methods: a longitudinal cohort study was carried out in an Italian hospital. At Time 1 (July 2020–July 2021), 990 HCWs took part in the study and completed the General Health Questionnaire (GHQ-12), the Impact of Event Scale (IES-R), and the General Anxiety Disorder (GAD-7)questionnaire. McNemar’s test measured changes in symptoms’ trajectories, and random effects models evaluated risk factors associated with scores above the cut-off. Results: 310 HCWs participated to the follow-up evaluation (Time 2; July 2021–July 2022). At Time 2, scores above cut-offs were significantly lower (p < 0.001) than at Time 1 for all scales (23% vs. 48% for GHQ-12; 11% vs. 25% for IES-R; 15% vs. 23% for GAD-7). Risk factors for psychological impairment were being a nurse (IES-R: OR 4.72, 95% CI 1.71–13.0; GAD-7: OR 2.82, 95% CI 1.44–7.17), a health assistant (IES-R: OR 6.76, 95% CI 1.30–35.1), or having had an infected family member (GHQ-12: OR 1.95, 95% CI 1.01–3.83). Compared to Time 1, gender and experience in COVID-19 units lost significance with psychological symptoms. Conclusions: data over more than 24 months from the pandemic onset showed improvement of HCWs’ mental health; our findings suggested the need to tailor and prioritize preventive actions towards healthcare workforce.
IntroductionItaly was the first Western country affected by the COVID-19 pandemic that still constitutes a severe challenge for healthcare workers (HCWs), with a deep impact on their mental health. Several studies confirmed that a considerable proportion of HCW developed adverse psychological impairment (PsI). To focus on preventive and rehabilitation measures, it is fundamental to identify individual and occupational risk factors. We systematically assessed possible PsI among all employees in a large university hospital in Italy, using validated psychometric scales in the context of occupational health surveillance.MethodsIn the period of July 2020 to July 2021, we enrolled 990 HCWs. For each subject, the psychological wellbeing was screened in two steps. The first-level questionnaire collected gender, age, occupational role, personal and occupational COVID-19 exposure, general psychological discomfort (GHQ-12), post-traumatic stress symptoms (IES-R), and anxiety (GAD-7). Workers showing PsI (i.e., test scores above the cutoff in at least one among GHQ-12, IES-R, and GAD-7) have been further investigated by the second-level questionnaire (psycho-diagnostic) composed by PHQ-9, DES-II, and SCL-90 scales. If the second-level showed clinically relevant symptoms, then we offered individual specialist treatment (third level).ResultsThree hundred sixteen workers (32%) presented signs of PsI at the first-level screening questionnaire. Women, nurses, and subjects engaged in the COVID-19 area and with an infected family member showed significantly higher PsI risk. PsI prevalence was strongly associated with the pandemic trend in the region but sensibly decreased after January 2021, when almost all workers received the vaccination. A proportion of subjects with PsI presented clinically relevant symptoms (second-level screening) on PHQ-9 (35%), DES (20%), and SCL-90 (28%). These symptoms were associated neither to direct working experience with patients with COVID-19 nor to COVID-19 experience in the family and seemed not to be influenced by the pandemic waves or workers vaccination.ConclusionsThe evaluation of psychological wellbeing of all hospital workers, directly or indirectly exposed to pandemic consequences, constitutes a unique condition to detect individual, occupational, and non-occupational risk factors for PsI in situations of high stress and/or disasters, as well as variables associated with symptom chronicization.
AimMisconceptions and non‐evidence‐based practices toward childhood fever are reported worldwide. Medical students might be ideal candidates to introduce long‐lasting changes in clinical practice. However, no study has gauged the effectiveness of an educational intervention to improve fever management in this population. We conducted an educational, interventional study on childhood fever among final‐year medical students.MethodsWe conducted a prospective, multicentre interventional study employing a pre/post‐test design. Participants from three Italian Universities filled in a questionnaire just before the intervention (T0), immediately after (T1) and 6 months later (T2) in 2022. The intervention was a two‐hour lecture focused on the pathophysiology of fever, recommendations for its treatment and risks associated with improper management.Results188 final‐year medical students (median age of 26 years, 67% females) were enrolled. Relevant improvements in the criterion for treating fever and conceptions about the beneficial effects of fever were observed at T1 and T2. Similar data were found for the reduction of physical methods advice to decrease body temperature and concerns for brain damage from fever.ConclusionThis study shows for the first time that an educational intervention is effective in changing students' conceptions and attitudes toward fever both in the short and medium term.
Background Large changes in ageing population and in retirement age are increasing the number of older people in the workforce, raising many challenges for policymakers in promoting employment opportunities and health for older workers. In this respect, longitudinal assessments of workability, well-being perception and cognitive skills over time may allow to detect factors influencing workers’ health. Moreover, new available molecular markers permit the measurement of biological age and age-related changes. Most studies analysed one aspect at time (psychological, biological, labour productivity), without considering their interaction. Aims of the study are to evaluate the relationship between workability, cognitive skills, and biological age in a population of ageing workers; to conduct a cross-sectional analysis to assess the impact of occupational exposures on workability, cognitive skills, and biological age; to evaluate inter-individuals changes in a prospective analysis with a re-evaluation of each worker. Methods Our study plans to enrol 1000 full-time workers, aged over 50, undergoing the medical surveillance required by the current Italian Legislation. Data collection includes information about: (a) work ability and psychosocial risk factors (work ability index, HSE Management Standard-21 item, Utrecht Work Engagement Scale, World Health Organisation-Five, Well-Being Index, job satisfaction, general well-being, technostress); (b) cognitive skills (Stroop Color and Word test, Simon task, Corsi’s block-tapping test, Digit span test); (c) sleep habits and psychological well-being (Pittsburgh Sleep Quality Index, Insomnia Severity Index, Ford Insomnia Response to Stress Test; Symptom Check List 90, Psychological Well-Being Index, Profile of Mood State, Beck Depression Inventory, Beck Anxiety Inventory, Perceived Stress Scale, Brief COPE); (d) biological age (telomere length, DNA methylation) for 500 workers. All workers will repeat the evaluation after one year. Discussion This study aims to increase our knowledge about interactions between work ability, cognitive ability, well-being perception and psychological status also by including molecular markers, with a longitudinal and multidisciplinary approach. By bringing better insights into the relationship between risk factors and their impact on perceived and biological health, this study also aims at identifying possible interventions and protective measures to ensure aged workers’ well-being, consistent with all the eminent calls for actions promoted by key International and European labour organizations.
IntroductionPsychosocial safety climate (PSC) refers to workers’ shared perceptions of organizational policies, practices and procedures for the protection of psychological health and safety. PSC offers a multilevel organizational approach that expands traditional models of workplace stress, giving a more comprehensive understanding of occupational health and safety issues. Although considerable research on psychosocial risks in the healthcare sector has been conducted, few studies have explored the role of PSC among healthcare workers at middle management level. Additionally, no validated version of PSC is available in Italian language. The aim of this study is to contribute to the validation of the Italian 4-item version of the PSC and to explore this theory within the Job Demands-Resources model (JD-R) among a sample of Italian healthcare workers by testing PSC at the middle management level.MethodsWe used cross-sectional data from 276 employees working in 17 different wards in a large Italian hospital. Intra-class coefficient (ICC) coefficient and agreement index were used to test PSC as a climate construct (data nested to hospital ward level). We performed hierarchical linear models to test mediation and moderation effects.ResultsThe Italian version of PSC-4 proved to have good psychometric properties and confirmed its role as a group-level construct (α = 0.84; ICC = 0.16). Multilevel random coefficient models showed PSC was associated with Job demands (Effort: B = −0.36, SE = 0.07; Emotional demands: B = −0.03, SE = 0.01) and Job resources (Reward: B = 1.16, SE = 0.01; Physical work environment: B = 0.06, SE = 0.01). Results confirmed the indirect effect of PSC on Psychological (Burnout) and Occupational health (Job satisfaction) outcomes supporting the role of Job resources and Job demands as mediators. The multilevel analysis did not find a significant interaction terms between PSC and Job demands on Burnout therefore the moderation hypothesis was not supported.DiscussionThe Italian version of PSC-4 is a valid tool to evaluate PSC. These findings sustain the multilevel framework of PSC and the significant role played by mid-leaders in both the health impairment and motivational path. Further studies should explore the buffering effect of PSC at higher baseline levels as well as the adoption of PSC as a target for occupational health intervention the Italian context.
BackgroundThe General Health Questionnaire (GHQ) is a widely used tool, both in clinical and research settings, due to its brevity and easy administration. Researchers often adopt a dichotomous measurement method, considering a total score above or below a certain threshold. This leads to an extreme simplification of the gathered data and therefore to the loss of clinical details.In a multi-step evaluation study aimed at assessing health care workers’ mental health during the Covid-19 pandemic, the GHQ-12 proved to be the most effective tool to detect psychological distress compared to other scales adopted. These results led to deepening the understanding of the GHQ-12 properties through a statistical study, by focusing on items’ properties and characteristics. MethodsGHQ-12 responses were analyzed using Item Response Theory (IRT), a suitable method for scale assessment. Instead of considering the single overall score, in which each item accounts equally, it focuses on individual items’ characteristics. Moreover, IRT models were applied combined with the latent class (LC) analysis, aiming to the determination of subgroups of individuals according to their level of psychological distress. ResultsGHQ-12 was administered to 990 health-care workers and responses were scored using the binary method (0-0-1-1). We applied the 2-PL (two-parameters logistic) model, finding that the items showed different ways of responses and features. The latent class analysis classified subjects into three sub-groups according to their responses to the GHQ-12 only: 47% of individuals with general well-being, 38% expressing signs of discomfort without severity and 15% of subjects with a high level of impairment. Such a result almost reproduces subjects’ classification obtained after administering the six questionnaires of the study protocol.ConclusionsAccurate statistical techniques and a deep understanding of the latent factors underlying the GHQ-12 resulted in a more effective usage of such psychometric questionnaire – i.e. a more refined gathering of data and a significant time and resource efficiency.We underlined the need to maximize the extraction of data from questionnaires and the necessity of them being less lengthy and repetitive.
such as balazone, since 1997, and the announcement of the ban on 30 pesticides (mevinone, etc.) and 87 pesticides (dibenzoate, etc.) from 2013 to 2019. Conclusions The intervention effects of major agricultural reforms and pesticide source control bans are actually reflected in the age-standardized incidence of pesticide poisoning. It also supports the view that the ban on extremely toxic organophosphorus pesticides in the past was indeed effective in the control of organic phosphorus pesticide poisoning among farmers.
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