Cluster-randomised trial evaluating a complex intervention to improve mental health and well-being of employees working in hospital – a protocol for the SEEGEN trial

Mulfinger, Nadine; Sander, Anja; Stuber, Felicitas; Brinster, Regina; Junne, Florian; Limprecht, Ronald; Jarczok, Marc N.; Seifried-Dübon, Tanja; Rieger, Monika A.; Zipfel, Stephan; Peters, Martin; Stiawa, Maja; Maatouk, Imad; Helaß, Madeleine; Nikendei, Christoph; Rothermund, Eva; Hander, Nicole R.; Ziegenhain, Ute; Gulde, Manuela; Genrich, Melanie; Worringer, Britta; Küllenberg, Janna; Blum, Karl; Süß, Stefan; Gesang, Elena; Ruhle, Sascha; Müller, Andreas; Schweitzer-Rothers, Jochen; Angerer, Peter; Gündel, Harald

doi:10.1186/s12889-019-7909-4

Cited by 48 publications

(45 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus, increasing the likelihood of making medical errors that may increase the risk to patients. Moreover, it has been demonstrated that acute stress in disasters could result in a lasting effect on the overall well-being [50]. Therefore, looking after the mental health of healthcare workers during the COVID-19 pandemic should be a crucial public health concern.…”

Section: Discussionmentioning

confidence: 99%

The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19

et al. 2020

View full text Add to dashboard Cite

Purpose Few studies have addressed the sleep disturbances of healthcare workers during crisis events of public health. This study aimed to examine the sleep quality of frontline healthcare workers (FLHCW) in Bahrain during the COVID-19 pandemic, and compare it with the sleep quality of non-frontline healthcare workers (NFLHCW). Methods Healthcare workers (n = 280) from multiple facilities belonging to the Ministry of Health, Bahrain, were invited to participate in this cross-sectional study. An online questionnaire, including socio-demographics, the Pittsburgh Sleep Quality Index (PSQI), and the Perceived Stress Scale (PSS), was used to evaluate sleep disturbances and stress levels of healthcare workers. Poor sleep quality was defined as PSQI ≥ 5 and moderate-severe stress as PSS ≥ 14. Descriptive statistics were used to compare the scores of FLHCW and NFLHCW. Univariate and multivariate binary logistic regressions were used to identify predictors of poor sleep quality, moderate-severe stress, and the combined problem of poor sleep quality and moderate-severe stress. Results A total of 257 participants (129 FLHCW and 128 NFLHCW) provided usable responses. The overall PSQI and PSS scores were 7.0 ± 3.3 and 20.2 ± 7.1, respectively. The FLHCW scored higher in the PSQI and PSS compared with the NFLHCW; however, the differences in the PSQI and PSS scores were not statistically significant. For the FLHCW, 75% were poor sleepers, 85% had moderate-severe stress, and 61% had both poor sleep quality and moderate-severe stress. For the NFLHCW, 76% were poor sleepers, 84% had moderate-severe stress, and 62% had both poor sleep quality and moderate-severe stress. Female sex and professional background were the predictors of poor sleep quality and stress. Conclusions Poor sleep quality and stress are common during the COVID-19 crisis. Approximately, 60% of both FLHCW and NFLHCW have poor sleep quality combined with moderate-severe stress.

show abstract

Section: Discussionmentioning

confidence: 99%

The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The interview study was embedded in the cluster-randomized collaborative study "Mental Health in the workplace hospital" (SEEGEN), which aims to develop and implement behavioral and relational interventions to reduce stress in hospitals (Mulfinger et al, 2019). This project was funded by the German Federal Ministry of Education, and Research (BMBF), The University of Duisburg-Essen, Heinrich-Heine University Düsseldorf, Universities of Ulm, Tübingen, and Heidelberg are affiliated partners.…”

Section: Author's Notementioning

confidence: 99%

Hospital Medical and Nursing Managers’ Perspectives on Health-Related Work Design Interventions. A Qualitative Study

et al. 2020

Self Cite

View full text Add to dashboard Cite

Background: Research indicates that the active support of managers is essential for the sustainable implementation of health-related work design interventions in organizations. However, little is known about managers' perceptions of such health promotion measures. Objective: Our study aims to provide information that help to foster managers active support of health-related work design interventions in hospitals. Based on Ajzen's Theory of Planned Behavior (TPB) we explore the attitudes, perceived organizational norms, and perceived behavioral control of managers in the hospital regarding such interventions. Methods: Semi-structured interviews with 37 managers (chief physicians, senior physicians, and senior nurses) were carried out in one German hospital. A software aided qualitative content analysis was applied. Results: We observed that the majority of managers are aware of the importance of health-related work design. We found a high variation in the perception of organizational norms related to mental health promotion of employees. Behavioral control for supporting interventions is perceived more on an individual (e.g., appraisal interviews, professional development or support) and team level (e.g., fair work schedule, regular team meetings), less on an organizational level. Conclusion: To enable and to motivate hospital medical and nursing managers to support health-related work design, hospitals need to establish clear organizational norms that the health promotion of their employees is an important organizational goal. Moreover, managers need to get more work-design competencies and decision latitude to get more control. Important arguments for the top hospital management could be that health-related work design is highly effective for economic success, for treatment quality, and that the middle management already has a positive attitude toward the implementation of measures that help promote the mental health of their staff.

show abstract

“…There was also error correlation between item 30 and 31 in the modi ed model. Interpersonal relationship may lead to bene ts in subjective well-being and performance [38]. Therefore, there are interacting effects between satisfaction with interpersonal relationships and performance in life, work or study (Item 30: Are you satis ed with your interpersonal relationship in society?…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of The Sub-Health Measurement Scale V1.0 for Assessing Suboptimal Health Status of Midwives: A Multi-Centre Cross-Sectional Study

Chen

Jiang²,

Zheng

et al. 2020

Preprint

View full text Add to dashboard Cite

Purpose Midwives with high work stress are prone to suboptimal health status (SHS). However, there is a lack of unified measurement standard for SHS. Sub-Health Measurement Scale V1.0 (SHMS V1.0) is a multidimensional inventory that has been proved to have adequate psychometric properties in other populations. Therefore, this study aimed to evaluate validity and reliability of SHMS V1.0 in midwives.Methods In this cross-sectional study, 842 midwives from 46 midwifery institutions completed the SHMS V1.0. Internal consistency and test-retest reliability of SHMS V1.0 were assessed with Cronbach's alpha and Pearson correlation coefficient. Project analysis and confirmatory factor analysis (CFA) were performed to assess construct validity. Concurrent validity of SHMS V1.0 was evaluated by Pearson correlation analysis with the 14-item Fatigue Scale (FS-14).Results The total Cronbach's alpha and test-retest reliability coefficient of SHMS V1.0 was 0.908 and 0.804, respectively. The correlation coefficients between each item and its corresponding dimension, and those between each dimension and its corresponding subscale were all greater than 0.4. The CFA supported the structure of SHMS V1.0 with strong factor loadings and excellent fit indexes in the first-order and modified second-order factor model. The concurrent validity for SHMS V1.0 showed large correlation with FS-14, but social subscale showed medium correlations with total fatigue, physical fatigue and mental fatigue. Conclusions The SHMS V1.0 is a valid and reliable instrument for measuring SHS for midwives. Given the severity and harmfulness of SHS in midwives, SHMS V1.0 is recommended as an important tool for clinical practice and research.

show abstract

Cluster-randomised trial evaluating a complex intervention to improve mental health and well-being of employees working in hospital – a protocol for the SEEGEN trial

Cited by 48 publications

References 42 publications

The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19

The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19

Hospital Medical and Nursing Managers’ Perspectives on Health-Related Work Design Interventions. A Qualitative Study

Psychometric Properties of The Sub-Health Measurement Scale V1.0 for Assessing Suboptimal Health Status of Midwives: A Multi-Centre Cross-Sectional Study

Contact Info

Product

Resources

About