Putting context into organizational intervention design:Using tailored questionnaires to measure initiatives for worker well-being

Realistic evaluation emphasizes the importance of exploring the mechanisms through which organizational interventions are effected. A well-known mechanism in organizational interventions is the screening process. Standardized questionnaires, in popular use, neither consider individuals’ appraisals of working conditions nor the specific context of the workplace. Screening with items tailored to intervention contexts may overcome the limitations of standardized questionnaires. In the present study, we evaluate an approach to develop a tailored questionnaire to measure employees’ appraisals of their specific working conditions. First, we interviewed 56 employees and 17 managers and, later, developed tailored items focused on the working conditions in a postal service. In follow-up interviews, we explore participants’ experiences with the tailored questionnaire, including the development of initiatives, compared to their previous experiences with the company´s annual attitude survey that used standardized scales. Results indicated that participants felt the tailored questionnaire highlighted issues that had previously been ignored, that initiatives were easier to develop due to its specificity, and that the feedback strategy was useful in prioritizing questionnaires. Overall, it can be concluded that tailored questionnaires may be appropriate for use in organizational intervention research and more broadly that evaluations of organizational interventions need to be contextually grounded

Modeling emergency department visit patterns for infectious disease complaints: results and application to disease surveillance

BACKGROUND: Concern over bio-terrorism has led to recognition that traditional public health surveillance for specific conditions is unlikely to provide timely indication of some disease outbreaks, either naturally occurring or induced by a bioweapon. In non-traditional surveillance, the use of health care resources are monitored in "near real" time for the first signs of an outbreak, such as increases in emergency department (ED) visits for respiratory, gastrointestinal or neurological chief complaints (CC). METHODS: We collected ED CCs from 2/1/94 – 5/31/02 as a training set. A first-order model was developed for each of seven CC categories by accounting for long-term, day-of-week, and seasonal effects. We assessed predictive performance on subsequent data from 6/1/02 – 5/31/03, compared CC counts to predictions and confidence limits, and identified anomalies (simulated and real). RESULTS: Each CC category exhibited significant day-of-week differences. For most categories, counts peaked on Monday. There were seasonal cycles in both respiratory and undifferentiated infection complaints and the season-to-season variability in peak date was summarized using a hierarchical model. For example, the average peak date for respiratory complaints was January 22, with a season-to-season standard deviation of 12 days. This season-to-season variation makes it challenging to predict respiratory CCs so we focused our effort and discussion on prediction performance for this difficult category. Total ED visits increased over the study period by 4%, but respiratory complaints decreased by roughly 20%, illustrating that long-term averages in the data set need not reflect future behavior in data subsets. CONCLUSION: We found that ED CCs provided timely indicators for outbreaks. Our approach led to successful identification of a respiratory outbreak one-to-two weeks in advance of reports from the state-wide sentinel flu surveillance and of a reported increase in positive laboratory test results

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The palaeodemographic and environmental dynamics of prehistoric Arctic Norway: An overview of human-climate covariation

This thesis has two overarching goals. One is to reconstruct human population dynamics in Stone Age Arctic Norway (12.000-2000 cal BP). The other is to explain the demographic changes as population ecological phenomena. Thus conceived, the project is fundamentally engaged in contributing to the Human Ecodynamic research agenda of investigating the co-evolution of human and natural systems. This agenda is operationalized as a set of objectives: • Reconstruct relative population size changes through time. • Compare with relevant palaeoenvironmental records. • Provide detailed case studies of human adaptive responses to ecological change. • Establish middle-range causal mechanisms connecting macro-scale climate forcing with micro-scale human risk reduction strategies, by way of aggregated demographic, technological and ecological effects. • Track the evolution of maritime adaptation in the region. The justification for the project is provided by the general lack of integrated socioecological research of Arctic Norwegian prehistory. As such, this project attempts to plug a marked knowledge gap concerning the causal role of environmental drivers in long-term cultural change. Equally important however, is the ambition of contributing to the general understanding of human ecology and adaptability by way of generalizable, empirical results, and case studies of causal mechanisms driving integrated socioecological change. An important premise of this work is that such is achievable only through the study the ecological and environmental drivers of change in human cultural systems. The project has a marked interdisciplinary profile, relying on data and analytical tools provided by various palaeo-disciplines. It synthesizes large sets of proxy data concerning human demographic variation, environmental dynamics and technological mitigation capabilities – trying to get at the adaptive features of a high-latitude, maritime adapted foraging population. Past human demographic changes are modelled on the basis of the summed probability distribution method, applied to the North Norwegian Radiocarbon Record dataset newly compiled for this very purpose. The outputs consist of four peer-reviewed papers and an extensive introductory text presenting important background information and analytical considerations. Result highlights are: 1) The demonstration of repeated and significant population cycles throughout the 10.000 year study period. 2) That both long-term population trends and shorter-term demographic events are shown to be strongly regulated by environmental drivers. 3) Detailed case-studies demonstrate how adaptive and technological changes are interrelated with the environmental and demographic changes. The various papers explore and attempt to explain the particular processes that produce correlated demographic and environmental dynamics. Consequently, a major result of this project is the developed a middle-range causal framework for tracing the impact of large-scale environmental drivers on human adaptive responses, as mediated through resource availability, risk reduction strategies and shifts in subsistence technologies