The impact of COVID-19 on the mental health and well-being of ambulance care professionals: A rapid review.

The COVID-19 pandemic has a significant impact on the health and well-being of all healthcare professionals. However, for ambulance care professionals it is unknown on which health outcomes the impact of COVID-19 is measured, and what the actual impact on these health outcomes is. Therefore, the aim of this study was to gain insight in a) which type of health outcomes were measured in relation to the impact of COVID-19 among ambulance care professionals, and b) to determine the actual impact on these outcomes. A rapid review was performed in PubMed (including MEDLINE) and APA PsycInfo (EBSCO). All types of study designs on health and well-being of ambulance care professionals were included. Selection on title an abstract was performed by pairs of two reviewers. Full text selection, data extraction and quality assessment were performed by one reviewer, with a check by a second independent reviewer. The systematic searches identified 3906 unique hits, seven articles meeting selection criteria were included. Six studies quantitatively measured distress (36,0%) and PTSD (18.5%-30.9%), anxiety (14.2%-65.6%), depression (12.4%-15.3%), insomnia (60.9%), fear of infection and transmission of infection (41%-68%), and psychological burden (49.4%-92.2%). These studies used a variety of instruments, ranging from internationally validated instruments to self-developed and unvalidated questionnaires. One study qualitatively explored coping with COVID-19 by ambulance care professionals and reported that ambulance care professionals use five different strategies to cope with the impact of COVID-19. There is limited attention for the health and well-being of ambulance care professionals during the COVID-19 pandemic. Although the included number of studies and included outcomes are too limited to draw strong conclusions, our results indicate higher rates of distress, PTSD and insomnia compared to the pre-COVID-19 era. Our results urge the need to investigate the health and well-being of ambulance care professionals during and after the COVID-19 pandemic.

Costs and benefits of autonomy when learning a task: an experimental approach.

Previous findings suggested that the positive relationship between autonomy and learning outcomes (such as improved task performance) only holds up until a certain optimum level of autonomy has been reached. This assumption was investigated in an experimental study where 95 participants had to learn a computer task. During the learning phase, we manipulated autonomy, distinguishing among no, moderate, and full autonomy. The results revealed that, when learning a task, having autonomy is preferred to having no autonomy. However, increases in autonomy beyond a certain level (i.e., full versus moderate autonomy) will not yield additional advantages regarding the motivation to learn and learning outcomes, and may have disadvantages in terms of learning efficiency.

From task characteristics to learning: A systematic review.

Although many theoretical approaches propose that job characteristics affect employee learning, the question is why and how job characteristics influence learning. The present study reviews the evidence on the relationships among learning antecedents (i.e., job characteristics: demands, variety, autonomy and feedback), learning processes (including motivational, meta-cognitive, cognitive and behavioral processes) and learning consequences. Building on an integrative heuristic model, we quantitatively reviewed 85 studies published between 1969 and 2005. Our analyses revealed strong evidence for a positive relation between job demands and autonomy on the one hand and motivational and meta-cognitive learning processes on the other. Furthermore, these learning processes were positively related to learning consequences.

Workers' personal initiative as a moderator of the relations between job characteristics and well-being.

Having personal initiative means that workers are self-starting, pro-active, and persistent in pursuing their goals. This study examined whether personal initiative contributed to the prediction of two aspects of well-being (emotional exhaustion and learning motivation). Personal initiative was expected to have direct effects on well-being as well as moderate the effects of relevant work characteristics such as job demands and control. As expected, stepwise hierarchical regression using data from 834 Dutch telecommunications workers yielded positive main effects of personal initiative on both aspects of well-being. Moreover, personal initiative moderated the relationship between control and learning motivation: the positive effect of control on learning motivation was stronger for workers with high initiative. These findings support the hypothesis that personal initiative is a predictor of well-being.