Midwifery students’ conceptions of worst imaginable pain

BackgroundThe Visual Analogue Scale (VAS) is one of the most widely used pain assessment scales in clinical practice and research. However, the VAS is used less frequently in midwifery than in other clinical contexts. The issue of how people interpret the meaning of the VAS endpoints (i.e. no pain and worst imaginable pain) has been discussed. The aim of this study was to explore midwifery students’ conceptions of ‘worst imaginable pain’.MethodsA sample of 230 midwifery students at seven universities in Sweden responded to an open-ended question: ‘What is the worst imaginable pain for you?’ This open-ended question is a part of a larger study. Their responses underwent manifest content analysis.ResultsAnalysis of the midwifery students’ responses to the open-ended question revealed five categories with 24 sub-categories. The categories were Overwhelming pain, Condition-related pain, Accidents, Inflicted pain and Psychological suffering.ConclusionsThe midwifery students’ conceptions of ‘worst imaginable pain’ are complex, elusive and diverse.     

Correlates of male and female juvenile offender abuse experiences

This paper reports the results of developing and evaluating a classification of 315 arrested youth processed at the Hillsborough County Juvenile Assessment Center from September 1, 1994 to January 31, 1998. Youth were characterized as physically or sexually abused if they reported abuse or if they had been referred to juvenile court for abuse. Stepwise logistic regression analysis revealed that family problems, friends' substance use, and delinquency involvement (marginally significantly related) were associated with both physical abuse and sexual victimization. In addition, physical abuse was associated with psychological problems and sexual victimization with being female, being older, and own substance use. The research implications of these results are discussed.     

Ecological,Groundwater, and Human Health Risk Assessment in a Mining Region of Nicaragua

The objective of the present study was to integrate the relative risk from mercury exposure to stream biota, groundwater, and humans in the Río Artiguas (Sucio) river basin, Nicaragua, where local gold mining occurs. A hazard quotient was used as a common exchange rate in probabilistic estimations of exposure and effects by means of Monte Carlo simulations. The endpoint for stream organisms was the lethal no‐observed‐effect concentration (NOECs), for groundwater the WHO guideline and the inhibitory Hg concentrations in bacteria (IC), and for humans the tolerable daily intake (TDI) and the benchmark dose level with an uncertainty factor of 10 (BMDLs_0.1). Macroinvertebrates and fish in the contaminated river are faced with a higher risk to suffer from exposure to Hg than humans eating contaminated fish and bacteria living in the groundwater. The river sediment is the most hazardous source for the macroinvertebrates, and macroinvertebrates make up the highest risk for fish. The distribution of body concentrations of Hg in fish in the mining areas of the basin may exceed the distribution of endpoint values with close to 100% probability. Similarly, the Hg concentration in cord blood of humans feeding on fish from the river was predicted to exceed the BMDLs_0.1 with about 10% probability. Most of the risk to the groundwater quality is confined to the vicinity of the gold refining plants and along the river, with a probability of about 20% to exceed the guideline value.     

Does Size Really Matter? Organizational Size and Innovations in Nonprofit Organizations

The purpose of this study was to investigate the relationship between size and innovation in a sample of nonprofit organizations. The author employed a number of size estimates (personnel and financial) and assessed different types of innovations (administrative and technological). Additionally, since the failure to take into consideration important contextual variables has been attributed to producing misleading conclusions about the relationship between size and innovation, the author controlled for those variables (formalization, centralization, specialization, leadership, board size, and organization's age) when assessing this relationship. The results of hierarchical multiple regressions showed that although the personnel size estimates were important predictors by themselves, their significance disappeared when contextual variables were introduced. Board size and organization age were significant predictors of administrative innovations. Board size was the only significant predictor of technological innovations, as well as of a total number of innovations.