BackgroundMany organisations promote eHealth applications as a feasible, low-cost method of addressing mental ill-health and stress amongst their employees. However, there are good reasons why the efficacy identified in clinical or other samples may not generalize to employees, and many Apps are being developed specifically for this group. The aim of this paper is to conduct the first comprehensive systematic review and meta-analysis evaluating the evidence for the effectiveness and examine the relative efficacy of different types of eHealth interventions for employees.MethodsSystematic searches were conducted for relevant articles published from 1975 until November 17, 2016, of trials of eHealth mental health interventions (App or web-based) focused on the mental health of employees. The quality and bias of all identified studies was assessed. We extracted means and standard deviations from published reports, comparing the difference in effect sizes (Hedge’s g) in standardized mental health outcomes. We meta-analysed these using a random effects model, stratified by length of follow up, intervention type, and whether the intervention was universal (unselected) or targeted to selected groups e.g. “stressed”.Results23 controlled trials of eHealth interventions were identified which overall suggested a small positive effect at both post intervention (g = 0.24, 95% CI 0.13 to 0.35) and follow up (g = 0.23, 95% CI 0.03 to 0.42). There were differential short term effects seen between the intervention types whereby Mindfulness based interventions (g = 0.60, 95% CI 0.34 to 0.85, n = 6) showed larger effects than the Cognitive Behaviour Therapy (CBT) based (g = 0.15, 95% CI 0.02 to 0.29, n = 11) and Stress Management based (g = 0.17, 95%CI -0.01 to 0.34, n = 6) interventions. The Stress Management interventions however differed by whether delivered to universal or targeted groups with a moderately large effect size at both post-intervention (g = 0.64, 95% CI 0.54 to 0.85) and follow-up (g = 0.69, 95% CI 0.06 to 1.33) in targeted groups, but no effect in unselected groups.InterpretationThere is reasonable evidence that eHealth interventions delivered to employees may reduce mental health and stress symptoms post intervention and still have a benefit, although reduced at follow-up. Despite the enthusiasm in the corporate world for such approaches, employers and other organisations should be aware not all such interventions are equal, many lack evidence, and achieving the best outcomes depends upon providing the right type of intervention to the correct population.
A multi-year unusual mortality event (UME) involving primarily common bottlenose dolphins (Tursiops truncates) was declared in the northern Gulf of Mexico (GoM) with an initial start date of February 2010 and remains ongoing as of August 2014. To examine potential changing characteristics of the UME over time, we compared the number and demographics of dolphin strandings from January 2010 through June 2013 across the entire GoM as well as against baseline (1990-2009) GoM stranding patterns. Years 2010 and 2011 had the highest annual number of stranded dolphins since Louisiana’s record began, and 2011 was one of the years with the highest strandings for both Mississippi and Alabama. Statewide, annual numbers of stranded dolphins were not elevated for GoM coasts of Florida or Texas during the UME period. Demographic, spatial, and temporal clusters identified within this UME included increased strandings in northern coastal Louisiana and Mississippi (March-May 2010); Barataria Bay, Louisiana (August 2010-December 2011); Mississippi and Alabama (2011, including a high prevalence and number of stranded perinates); and multiple GoM states during early 2013. While the causes of the GoM UME have not been determined, the location and magnitude of dolphin strandings during and the year following the 2010 Deepwater Horizon oil spill, including the Barataria Bay cluster from August 2010 to December 2011, overlap in time and space with locations that received heavy and prolonged oiling. There are, however, multiple known causes of previous GoM dolphin UMEs, including brevetoxicosis and dolphin morbillivirus. Additionally, increased dolphin strandings occurred in northern Louisiana and Mississippi before the Deepwater Horizon oil spill. Identification of spatial, temporal, and demographic clusters within the UME suggest that this mortality event may involve different contributing factors varying by location, time, and bottlenose dolphin populations that will be better discerned by incorporating diagnostic information, including histopathology.
Objectives: Deciding to disclose a mental illness in the workplace requires thoughtful informed decision making. Decision aids are increasingly used to help people make complex decisions, but need to incorporate relevant factors for the context. This study aimed to identify factors and processes that influence decision making about such disclosure to inform the development of a disclosure decision aid tool for employees in male dominated industries.Methods: We invited 15 partner organisations in male dominated industries to facilitate the recruitment of employees who either had disclosed a mental health condition in their workplace; or occupied a position to whom employees disclosed to focus groups addressing the aims.Results: The majority of the organisations had explicit policies that employees must disclose and so were unable to be seen countenancing non-disclosure as an option. Two focus groups were conducted (n = 13) with mainly male (62%), full-time employees (85%), and both disclosed (46%) and authority (54%) groups. Six themes, all barriers, were identified as influencing decision making processes: knowledge about symptoms, and self-discrimination (internal), stigma and discrimination by others, limited managerial support, dissatisfaction with services, and/or a risk of job or financial loss (external).Conclusion: Decisions to disclose mental health conditions, even by those who had done so, appear driven entirely by consideration of negative aspects. This suggests that anti-discrimination policy, legislation, awareness campaigns, and manager training have yet to change negative perceptions, and that any decision aid tool needs to incorporate counterfactual positive aspects that appear not to be an important consideration in such male dominated workplaces. There is a disconnect between organisational policies favouring disclosure and employees favouring non-disclosure that has caused tension within the organisational culture. Decision aid tools may assist employees with an active disclosure without waiting for an event to occur, giving the control of the decision back to the employee.
When the Mississippi Canyon-252 Deepwater Horizon (DWH) oil spill occurred in April 2010 in the Gulf of Mexico, wildlife professionals were quickly mobilized to assess, recover, and treat oiled marine mammals as part of the Incident Response operating under the Unified Command. There were significant challenges associated with the crisis, including the sustained response to a prolonged, uncontrolled oil release (from a deepwater wellhead rather than a controllable and finite source like a tanker); the large geographic scale of the oiled area and thus the response effort; and ensuring effectiveness without the benefit of previous experience of cetacean response in oil spills. The response phase for this spill lasted from April 2010 to May 2011, and the mobilization of field teams resulted in the confirmation of 13 live and 178 dead stranded cetaceans across 4 states and offshore waters. Four primary care centers were coordinated to de-oil animals, and additional facilities and personnel were mobilized to augment and support the effort. Numerous protocols were implemented to ensure appropriate animal care as well as documentation and sample collection, informing both response and Natural Resource Damage Assessment decisions. Additional efforts included the implementation of a wildlife observer program integrated into oil recovery operations (skimming and in situ burns) and behavioral observations of nearshore cetaceans. The unprecedented effort resulted in the first rehabilitation of an oiled dolphin and the coordination of a very large-scale response, with important information collected, and lessons learned for future oil spills in marine mammal habitat.
Background Mobile health (mHealth) apps offer a scalable option for treating sleep disturbances at a population level. However, there is a lack of clarity about the development and evaluation of evidence-based mHealth apps. Objective The aim of this systematic review was to provide evidence for the design engineering and clinical implementation and evaluation of mHealth apps for sleep disturbance. Methods A systematic search of studies published from the inception of databases through February 2020 was conducted using 5 databases (MEDLINE, Embase, Cochrane Library, PsycINFO, and CINAHL). Results A total of 6015 papers were identified using the search strategy. After screening, 15 papers were identified that examined the design engineering and clinical implementation and evaluation of 8 different mHealth apps for sleep disturbance. Most of these apps delivered cognitive behavioral therapy for insomnia (CBT-I, n=4) or modified CBT-I (n=2). Half of the apps (n=4) identified adopting user-centered design or multidisciplinary teams in their design approach. Only 3 papers described user and data privacy. End-user acceptability and engagement were the most frequently assessed implementation metrics. Only 1 app had available evidence assessing all 4 implementation metrics (ie, acceptability, engagement, usability, and adherence). Most apps were prototype versions (n=5), with few matured apps. A total of 6 apps had supporting papers that provided a quantitative evaluation of clinical outcomes, but only 1 app had a supporting, adequately powered randomized controlled trial. Conclusions This is the first systematic review to synthesize and examine evidence for the design engineering and clinical implementation and evaluation of mHealth apps for sleep disturbance. The minimal number of apps with published evidence for design engineering and clinical implementation and evaluation contrasts starkly with the number of commercial sleep apps available. Moreover, there appears to be no standardization and consistency in the use of best practice design approaches and implementation assessments, along with very few rigorous efficacy evaluations. To facilitate the development of successful and evidence-based apps for sleep disturbance, we developed a high-level framework to guide researchers and app developers in the end-to-end process of app development and evaluation.
The potential role of morbillivirus was evaluated in the deaths of >1100 bottlenose dolphins Tursiops truncatus and other small cetaceans that stranded from February 2010 through July 2014, during the northern Gulf of Mexico (GoM) unusual mortality event (UME). Morbillivirus analysis was carried out on 142 live or freshly dead cetaceans and results were combined with samples from 102 live, free-ranging bottlenose dolphins sampled during capture-release health assessments conducted from 2011 to 2014. Polymerase chain reaction (PCR) testing for morbillivirus showed that 9.9% (14/142) of the stranded cetaceans and 1% (1/83) of the free-ranging live dolphins were positive for dolphin morbilliviral (DMV) RNA. In contrast, previous DMV dolphin die-offs had DMV detectable by PCR in 61 to 97% of animals tested. Histologic findings consistent with morbillivirus infection, including lymphoid depletion, bronchointerstitial pneumonia, syncytial cell formation, or meningoencephalitis, were found in 6.6% (9/136) of the cetaceans that underwent histologic examinations. Serological analysis using a virus neutralization assay found that 29% (5/17) of live stranded and 23% (23/102) of live free-ranging bottlenose dolphins had titers of 64 or greater for cetacean morbillivirus, indicating prior but not necessarily recent exposure to morbillivirus. Current findings suggest that DMV infection, although present in the northern GoM, was sporadic and occurred at low levels and therefore was not the primary cause of the northern GoM UME. Confirmation of DMV infections and existing DMV titers demonstrate continued exposure to morbillivirus among northern GoM cetaceans since the first detection of this virus in the early 1990s.
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