Video Meetings in a Pandemic Era: Emotional Exhaustion, Stressors, and Coping

In the first quarter of 2020, societal upheavals related to the COVID-19 pandemic included employers’ work-from-home mandates and an almost overnight adoption of video meetings to replace in-person meetings no longer possible due to contagion fears and social distancing requirements. This exploratory study aimed to address, in part, the scientific knowledge gap about video meetings as a source of emotional labor. The study used mixed methods to explore three hypotheses concerning how the contemporary use of video meetings related to emotional exhaustion, stressors, and coping. Data were gathered through an online survey questionnaire. Emotional exhaustion, the dependent variable in the study, was measured using the Maslach Burnout Inventory (Schaufeli et al., 1996) General Survey emotional exhaustion subset of items. Stressors measured included surface acting, which was measured using items adapted from Grandey’s (2005) scale. Coping was measured by perceptions about coping resources and cognitive coping. Socio-demographic characteristics served as control variables. Open-ended items produced data pertaining to emotional exhaustion, stressors, and coping related to video meetings. After data cleaning, the sample comprised 345 (n = 345) cross-sector professionals working for U.S.-based organizations. Findings based on a series of linear regression analyses and qualitative data thematic analysis showed video meeting hours and surface acting significantly related to a higher level of emotional exhaustion. Extrovertism, nonwork video gatherings, and social support from another adult in the home were nonsignificant in their relationships with emotional exhaustion. Perceptions that video meetings were too many for participants to accomplish their overall job responsibilities were significantly related to a higher emotional exhaustion level. Perceptions that video meetings were useful to the participant significantly related to a lower emotional exhaustion level. Perceptions that family, household, and personal responsibilities competed for the energy participants needed to do their jobs successfully were also significantly related to a higher emotional exhaustion level. Qualitative data analysis also revealed emergent themes that suggest implications for practitioners and direction for future research. This dissertation is available in open access at AURA: Antioch University Repository and Archive, http://aura.antioch.edu/ and OhioLINK ETD Center, https://etd.ohiolink.ed

Community Economic Change and Depression Evidence From the 1980\u27s Farm Crisis

This paper examines the effect of aggregate economic conditions in communities on individual levels of depression. While the effect of economic conditions on mental health has been examined at the aggregate level and at the individual level, models including both individual and aggregate processes are necessary to differentiate contextual from individual processes impacting mental health status. Both cross-sectional and panel data from a sample of respondents representative of a Great Plains state on which data were available in 1981,1986, and1989 were used in the analysis. The cross-sectional analysis in 1989 consisted of2,485 respondents. Panel data from 916 respondents in1981-1986 and from 1,299 respondents in 1986-1989 also analyzed In both the cross-sectional and panel data there was little evidence of an effect of living in economically distressed communities on mental health independent of the relationship to the individuals\u27 economic conditions. The research found that while individuals were able to evaluate the state of the local economy with some degree of accuracy, and their perception of the local economy was related to depression, this effect was not strong enough to produce a significant relationship between aggregate economic measures and depression. Implications of these findings for understanding community climate effects in smaller communities is discussed

The Lantern Vol. 11, No. 3, May 1943

• Women\u27s Ward: Byberry • Ballad of Courtin\u27 • Burnished Armor • A Tribute • The Aeolian Harp • There is a Tide • Translation of a Greek Drinking Song • Query • Lemuel Lepidoptera • Quatrain • Ode to Spring • Though You\u27re Far Awayhttps://digitalcommons.ursinus.edu/lantern/1030/thumbnail.jp

Public perceptions of trophy hunting are pragmatic, not dogmatic

Funding: This work is an output from the Morally Contested Conservation research project, supported by Jamma International, WWF Deutschland, and the Luc Hoffmann Institute (now Unearthodox) to the University of Oxford [grant number ATR04380].Fierce international debates rage over whether trophy hunting is socially acceptable, especially when people from the Global North hunt well-known animals in sub-Saharan Africa. We used an online vignette experiment to investigate public perceptions of the acceptability of trophy hunting in sub-Saharan Africa among people who live in urban areas of the USA, UK and South Africa. Acceptability depended on specific attributes of different hunts as well as participants' characteristics. Zebra hunts were more acceptable than elephant hunts, hunts that would provide meat to local people were more acceptable than hunts in which meat would be left for wildlife, and hunts in which revenues would support wildlife conservation were more acceptable than hunts in which revenues would support either economic development or hunting enterprises. Acceptability was generally lower among participants from the UK and those who more strongly identified as an animal protectionist, but higher among participants with more formal education, who more strongly identified as a hunter, or who would more strongly prioritize people over wild animals. Overall, acceptability was higher when hunts would produce tangible benefits for local people, suggesting that members of three urban publics adopt more pragmatic positions than are typically evident in polarized international debates.Peer reviewe

Development of a composite outcome score for a complex intervention - measuring the impact of Community Health Workers.

BACKGROUND: In health services research, composite scores to measure changes in health-seeking behaviour and uptake of services do not exist. We describe the rationale and analytical considerations for a composite primary outcome for primary care research. We simulate its use in a large hypothetical population and use it to calculate sample sizes. We apply it within the context of a proposed cluster randomised controlled trial (RCT) of a Community Health Worker (CHW) intervention. METHODS: We define the outcome as the proportion of the services (immunizations, screening tests, stop-smoking clinics) received by household members, of those that they were eligible to receive. First, we simulated a population household structure (by age and sex), based on household composition data from the 2011 England and Wales census. The ratio of eligible to received services was calculated for each simulated household based on published eligibility criteria and service uptake rates, and was used to calculate sample size scenarios for a cluster RCT of a CHW intervention. We assume varying intervention percentage effects and varying levels of clustering. RESULTS: Assuming no disease risk factor clustering at the household level, 11.7% of households in the hypothetical population of 20,000 households were eligible for no services, 26.4% for 1, 20.7% for 2, 15.3% for 3 and 25.8% for 4 or more. To demonstrate a small CHW intervention percentage effect (10% improvement in uptake of services out of those who would not otherwise have taken them up, and additionally assuming intra-class correlation of 0.01 between households served by different CHWs), around 4,000 households would be needed in each of the intervention and control arms. This equates to 40 CHWs (each servicing 100 households) needed in the intervention arm. If the CHWs were more effective (20%), then only 170 households would be needed in each of the intervention and control arms. CONCLUSIONS: This is a useful first step towards a process-centred composite score of practical value in complex community-based interventions. Firstly, it is likely to result in increased statistical power compared with multiple outcomes. Second, it avoids over-emphasis of any single outcome from a complex intervention

Motives and preferences of general practitioners for new collaboration models with medical specialists: a qualitative study

BACKGROUND: Collaboration between general practitioners (GPs) and specialists has been the focus of many collaborative care projects during the past decade. Unfortunately, quite a number of these projects failed. This raises the question of what motivates GPs to initiate and continue participating with medical specialists in new collaborative care models. The following two questions are addressed in this study: What motivates GPs to initiate and sustain new models for collaborating with medical specialists? What kind of new collaboration models do GPs suggest? METHODS: A qualitative study design was used. Starting in 2003 and finishing in 2005, we conducted semi-structured interviews with a purposive sample of 21 Dutch GPs. The sampling criteria were age, gender, type of practice, and practice site. The interviews were recorded, fully transcribed, and analysed by two researchers working independently. The resulting motivational factors and preferences were grouped into categories. RESULTS: 'Developing personal relationships' and 'gaining mutual respect' appeared to dominate when the motivational factors were considered. Besides developing personal relationships with specialists, the GPs were also interested in familiarizing specialists with the competencies attached to the profession of family medicine. Additionally, they were eager to increase their medical knowledge to the benefit of their patients. The GPs stated a variety of preferences with respect to the design of new models of collaboration. CONCLUSION: Developing personal relationships with specialists appeared to be one of the dominant motives for increased collaboration. Once the relationships have been formed, an informal network with occasional professional contact seemed sufficient. Although GPs are interested in increasing their knowledge, once they have reached a certain level of expertise, they shift their focus to another specialty. The preferences for new collaboration models are diverse. A possible explanation for the differences in the preferences is that professionals are more knowledge driven than organisation driven as the acquiring of new knowledge is considered more important than the route by which this is achieved. A new collaboration model seems a way to acquire knowledge. Once this is achieved the importance of a model possibly diminishes, whereas the professional relationships last

Enhanced Migratory Waterfowl Distribution Modeling by Inclusion of Depth to Water Table Data

In addition to being used as a tool for ecological understanding, management and conservation of migratory waterfowl rely heavily on distribution models; yet these models have poor accuracy when compared to models of other bird groups. The goal of this study is to offer methods to enhance our ability to accurately model the spatial distributions of six migratory waterfowl species. This goal is accomplished by creating models based on species-specific annual cycles and introducing a depth to water table (DWT) data set. The DWT data set, a wetland proxy, is a simulated long-term measure of the point either at or below the surface where climate and geological/topographic water fluxes balance. For species occurrences, the USGS' banding bird data for six relatively common species was used. Distribution models are constructed using Random Forest and MaxEnt. Random Forest classification of habitat and non-habitat provided a measure of DWT variable importance, which indicated that DWT is as important, and often more important, to model accuracy as temperature, precipitation, elevation, and an alternative wetland measure. MaxEnt models that included DWT in addition to traditional predictor variables had a considerable increase in classification accuracy. Also, MaxEnt models created with DWT often had higher accuracy when compared with models created with an alternative measure of wetland habitat. By comparing maps of predicted probability of occurrence and response curves, it is possible to explore how different species respond to water table depth and how a species responds in different seasons. The results of this analysis also illustrate that, as expected, all waterfowl species are tightly affiliated with shallow water table habitat. However, this study illustrates that the intensity of affiliation is not constant between seasons for a species, nor is it consistent between species

Children’s Postdisaster Trajectories of PTS Symptoms: Predicting Chronic Distress

BACKGROUND: There are no studies of the distinct trajectories of children’s psychological distress over the first year after a destructive natural disaster and the determinants of these trajectories. OBJECTIVE: We examined these issues using an existing dataset of children exposed to Hurricane Andrew, one of the most devastating natural disasters in US history. METHODS: At 3-months postdisaster, 568 children (55 % girls; grades 3–5) residing in areas most directly affected by the hurricane completed measures of hurricane exposure and stressors, social support, coping, and general anxiety. Children also reported major life events occurring since the hurricane (at 7-months) and posttraumatic stress (PTS) symptoms at 3-, 7-, and 10-months postdisaster. RESULTS: Latent growth mixture modeling identified three trajectories of PTS reactions: resilient (37 %), recovering (43 %), and chronic distress (20 %). Predictors of the trajectories were examined. Odds ratios indicated that, compared to the resilient trajectory, girls were more likely to be in the recovering and chronically distressed trajectories, as were children reporting higher anxiety and greater use of coping strategies that reflected poor emotion regulation. Compared to the recovering trajectory, children in the chronically distressed trajectory had greater odds of reporting high anxiety, less social support, more intervening life events, and greater use of poor emotion regulation strategies. CONCLUSIONS: Hurricane exposure may be less effective in identifying children who develop chronic postdisaster distress than other child (anxiety, coping) and contextual variables (social support, life events). Effective screening after disasters is critical for identifying youth most in need of limited clinical resources