27 research outputs found
A meta-analysis of variables that predict significant intracranial injury in minor head trauma.
BACKGROUND: Previous studies have presented conflicting results regarding the predictive effect of various clinical symptoms, signs, and plain imaging for intracranial pathology in children with minor head injury. AIMS: To perform a meta-analysis of the literature in order to assess the significance of these factors and intracranial haemorrhage (ICH) in the paediatric population. METHODS: The literature was searched using Medline, Embase, Experts, and the grey literature. Reference lists of major guidelines were crosschecked. Control or nested case-control studies of children with head injury who had skull radiography, recording of common symptoms and signs, and head computed tomography (CT) were selected. OUTCOME VARIABLE: CT presence or absence of ICH. RESULTS: Sixteen papers were identified as satisfying criteria for inclusion in the meta-analysis, although not every paper contained data on every correlate. Available evidence gave pooled patient numbers from 1136 to 22 420. Skull fracture gave a relative risk ratio of 6.13 (95% CI 3.35 to 11.2), headache 1.02 (95% CI 0.62 to 1.69), vomiting 0.88 (95% CI 0.67 to 1.15), focal neurology 9.43 (2.89 to 30.8), seizures 2.82 (95% CI 0.89 to 9.00), LOC 2.23 (95% CI 1.20 to 4.16), and Glasgow Coma Scale (GCS) <15 of 5.51 (95% CI 1.59 to 19.0). CONCLUSIONS: There was a statistically significant correlation between intracranial haemorrhage and skull fracture, focal neurology, loss of consciousness, and GCS abnormality. Headache and vomiting were not found to be predictive and there was great variability in the predictive ability of seizures. More information is required about the current predictor variables so that more refined guidelines can be developed. Further research is currently underway by three large study groups
Re-introducing Survey Data: References / Resources
These resources are produced to help social scientists conduct quantitative longitudinal research using large-scale survey datasets. It has been our experience that an intrinsic part of such training necessarily concerns recapping and revising some introductory issues in quantitative data analysis. The references below are intended to provide background materials which relate to a range of applications which are commonly applied in quantitative social science research. More specific guidance on longitudinal quantitative research is found in the corresponding file 'Quantitative Longitudinal Research: References / Resources'
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A Randomized Field Study of a Leadership WalkRoundsTM-Based Intervention
Background: Leadership WalkRoundsTM have been widely adopted as a technique for improving patient safety and safety climate. WalkRoundsTM involve senior managers directly observing frontline work and soliciting employees’ ideas about improvement opportunities. However, the hypothesized link between WalkRoundsTM-based programs and performance has not been rigorously examined in a set of randomly selected hospitals.
Objective: To fill this research gap, we conducted a randomized field study of a WalkRoundsTM-based program.
Research Design: Fifty-six work areas from 19 randomly selected hospitals agreed to implement an 18-month long WalkRoundsTM-based program to improve safety. We compared their results to 138 work areas in 48 randomly selected control hospitals.
Participants: We conducted the program in four types of clinical work areas: operating rooms/post-anesthesia care units; emergency departments, intensive care units, and medical/surgical units. We collected survey data from nurses in those work areas.
Measures: To measure the program’s impact, we collected pre and post survey data on perceptions of improvement in performance (PIP)—a proxy for quality and an important organizational climate antecedent for positive, discretionary behaviors of frontline staff. We compare change in PIP in the treatment work areas to the same type of work areas in control hospitals.
Results: On average, compared to control work areas, our WalkRoundsTM-based program was associated with a statistically significant decrease in PIP of .17 on a 5-point scale (4.5%).
Conclusions: Our study calls into question the general effectiveness of WalkRoundsTM on employees' perceptions, which had been assumed in prior literature
The influence of demographic characteristics, living conditions, and trauma exposure on the overall health of a conflict-affected population in Southern Sudan
BACKGROUND: There remains limited evidence on how armed conflict affects overall physical and mental well-being rather than specific physical or mental health conditions. The aim of this study was to investigate the influence of demographic characteristics, living conditions, and violent and traumatic events on general physical and mental health in Southern Sudan which is emerging from 20 years of armed conflict. METHODS: A cross-sectional survey of 1228 adults was conducted in November 2007 in the town of Juba, the capital of Southern Sudan. Multivariate linear regression analysis was used to investigate the associations and relative influence of variables in three models of demographic characteristics, living conditions, and trauma exposure, on general physical and mental health status. These models were run separately and also as a combined model. Data quality and the internal consistency of the health status instrument (SF-8) were assessed. RESULTS: The variables in the multivariate analysis (combined model) with negative coefficients of association with general physical health and mental health (i.e. worse health), respectively, were being female (coef. -2.47; -2.63), higher age (coef.-0.16; -0.17), absence of soap in the household (physical health coef. -2.24), and experiencing within the past 12 months a lack of food and/or water (coef. -1.46; -2.27) and lack of medical care (coef.-3.51; -3.17). A number of trauma variables and cumulative exposure to trauma showed an association with physical and mental health (see main text for data). There was limited variance in results when each of the three models were run separately and when they were combined, suggesting the pervasive influence of these variables. The SF-8 showed good data quality and internal consistency. CONCLUSIONS: This study provides evidence on the pervasive influence of demographic characteristics, living conditions, and violent and traumatic events on the general physical and mental health of a conflict-affected population in Southern Sudan, and highlights the importance of addressing all these influences on overall health
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Key Drivers of Successful Implementation of an Employee Suggestion-Driven Improvement Program
Service organizations frequently implement improvement programs to increase quality. These programs often rely on employees’ suggestions about improvement opportunities. Organizations face a trade-off with such suggestion-driven improvement programs. On one hand, the improvement literature recommends that managers focus organizational resources on surfacing a large number of problems, prioritizing these, and selecting a small set of high priority ones for solution efforts. The theory is that soliciting a large number of ideas from employees will surface a set of higher priority problems than would have been identified with a less extensive search. Scarce organizational resources can be allocated to resolving the set of problems that provide the greatest improvement in performance. We call this an “analysis-oriented” approach. On the other hand, managers can allocate improvement resources to addressing problems raised by frontline staff, regardless of priority ranking. This “action-oriented” approach enables more resources to be spent on resolving problems because prioritization receives less attention. To our knowledge, this tradeoff between analysis and action in process improvement programs has not been empirically examined. To fill this gap, we randomly selected 20 hospitals to implement an 18-month long employee suggestion-driven improvement program; 58 work areas participated. Our study finds that an action-oriented approach was associated with higher perceived improvement in performance, while an analysis-oriented approach was not. Our study suggests that the analysis-oriented approach negatively impacted employees’ perceptions of improvement because it solicited, but not act on, employees' ideas. We discuss the conditions under which this might be the case
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The Effectiveness of Management-By-Walking-Around: A Randomized Field Study
Management-By-Walking-Around (MBWA) is a widely adopted technique in hospitals that involves senior managers directly observing frontline work. However, few studies have rigorously examined its impact on organizational outcomes. This paper examines an improvement program based on MBWA in which senior managers observe frontline employees, solicit ideas about improvement opportunities, and work with staff to resolve the issues. We randomly selected 19 hospitals to implement the 18-month long MBWA-based improvement program; 56 work areas participated. We find that the program, on average, had a negative impact on performance. To explain this surprising finding, we use mixed methods to examine the impact of the work area's problem-solving approach. Results suggest that prioritizing easy-to-solve problems was associated with improved performance. We believe this was because it resulted in greater action taking. A different approach was characterized by prioritizing high-value problems, which was not successful in our study. We also find that assigning to senior managers responsibility for ensuring that identified problems get resolved resulted in better performance. Overall, our study suggests that senior managers' physical presence on their organizations' frontlines was not helpful unless it enabled active problem solving