Is virtuality close enough to reality? A comparison of the effectiveness of simulations with traditional laboratory activities in a high school biology class

Some schools do not have ideal access to laboratory space and supplies. Computer simulations of laboratory activities can be a cost-effective way of presenting experiences to students, but are those simulations as effective at supplementing content concepts? This study compared the use of traditional lab activities illustrating the principles of cell respiration and photosynthesis in an introductory high school biology class with virtual simulations of the same activities. Additionally student results were analyzed to assess if student conceptual understanding was affected by the complexity of the simulation. Although all student groups posted average gain increases between the pre and post-tests coupled with positive effect sizes, students who completed the wet lab version of the activity consistently outperformed the students who completed the virtual simulation of the same activity. There was no significant difference between the use of more or less complex simulations. Students also tended to rate the wet lab experience higher on a motivation and interest inventory.

Further concerns about self-assessment: are medical students aware of their progress in clinical skills during clerkship

Background: Medical students do not accurately self-assess their competence. However, little is known about the awareness of change of competence over time. The aim of this study was to evaluate if students are aware of their progress. Summary of work: Twenty-two fourth year medical students had self- and expert-assessments of their clinical skills in musculoskeletal medicine in an OSCE like station (4 point Likert scale) at the beginning (t0) and end (t1) of their eight weeks clerkship in internal medicine. Thirteen students were assigned to the intervention of a 6x1 hour practical examination course; nine took part in the regular clinical clerkship activities only and served as controls. Summary of results/Conclusions: The intervention students significantly improved their skills (from 2.78 ± 0.36 to 3.30 ± 0.36, p<0.05) in contrast to the control students (from 3.11 ± 0.58 to 2.83 ± 0.49, n.s.). At t0, 19 students, at t1 21 out of 22 students underestimated their competence. Correlations between the change of self- and expert-assessment were r=0.43, p<0.05 (all), r=0.47, n.s. (control) and r=-0.12, n.s. (intervention), respectively. Take-home message: Medical students improving their clinical skills by an interactive course in addition to their regular clerkship activities are not aware of their progress

Changes in pre-pregnancy weight and weight gain during pregnancy: retrospective comparison between 1986 and 2004

QUESTIONS UNDER STUDY: To compare the incidence of pre-pregnancy overweight, obesity, and difference in weight gain during pregnancy in the years 1986 and 2004, in women delivered at the maternity unit of our hospital. METHODS: Retrospective study. Maternity records of patients delivered in the years 1986 and 2004 were compared. Data extraction included booking weight, height, weight gain, birth weight as well as information on mode of delivery and gestational age at delivery. RESULTS: During the year 1986 and 2004 a total of 690 and 668 patients respectively were included in the analysis. The pre-pregnancy BMI > or =25 doubled over the 18-year period (from 15.9 to 30.1%). In 1986 only 2.6% of all pregnant women gained more than 20 kg, while in 2004 14.2% (p <0.0001) did so. The caesarean section rate was significantly higher in 2004 than 18 years earlier (28.3 and 9.3%, p <0.0001). CONCLUSIONS: We found a significant increase in all parameters between these two groups. Pregnant women are today heavier at the booking visit, are more overweight, and gain more weight during pregnancy. A similar trend is seen in the newborn babies, who have a higher birth weight than those born 18 years ago.

Towards a Hybrid Method to Categorize Interruptions and Activities in Healthcare

Objective Interruptions are known to have a negative impact on activity performance. Understanding how an interruption contributes to human error is limited because there is not a standard method for analyzing and classifying interruptions. Qualitative data are typically analyzed by either a deductive or an inductive method. Both methods have limitations. In this paper a hybrid method was developed that integrates deductive and inductive methods for the categorization of activities and interruptions recorded during an ethnographic study of physicians and registered nurses in a Level One Trauma Center. Understanding the effects of interruptions is important for designing and evaluating informatics tools in particular and for improving healthcare quality and patient safety in general. Method The hybrid method was developed using a deductive a priori classification framework with the provision of adding new categories discovered inductively in the data. The inductive process utilized line-by-line coding and constant comparison as stated in Grounded Theory. Results The categories of activities and interruptions were organized into a three-tiered hierarchy of activity. Validity and reliability of the categories were tested by categorizing a medical error case external to the study. No new categories of interruptions were identified during analysis of the medical error case. Conclusions Findings from this study provide evidence that the hybrid model of categorization is more complete than either a deductive or an inductive method alone. The hybrid method developed in this study provides the methodical support for understanding, analyzing, and managing interruptions and workflow.

Using technology to teach technology: design and evaluation of bilingual online physician education about electronic medical records.

The "EMR Tutorial" is designed to be a bilingual online physician education environment about electronic medical records. After iterative assessment and redesign, the tutorial was tested in two groups: U.S. physicians and Mexican medical students. Split-plot ANOVA revealed significantly different pre-test scores in the two groups, significant cognitive gains for the two groups overall, and no significant difference in the gains made by the two groups. Users rated the module positively on a satisfaction questionnaire.

Towards a hybrid method to categorize interruptions and activities in healthcare.

OBJECTIVE: Interruptions are known to have a negative impact on activity performance. Understanding how an interruption contributes to human error is limited because there is not a standard method for analyzing and classifying interruptions. Qualitative data are typically analyzed by either a deductive or an inductive method. Both methods have limitations. In this paper, a hybrid method was developed that integrates deductive and inductive methods for the categorization of activities and interruptions recorded during an ethnographic study of physicians and registered nurses in a Level One Trauma Center. Understanding the effects of interruptions is important for designing and evaluating informatics tools in particular as well as improving healthcare quality and patient safety in general. METHOD: The hybrid method was developed using a deductive a priori classification framework with the provision of adding new categories discovered inductively in the data. The inductive process utilized line-by-line coding and constant comparison as stated in Grounded Theory. RESULTS: The categories of activities and interruptions were organized into a three-tiered hierarchy of activity. Validity and reliability of the categories were tested by categorizing a medical error case external to the study. No new categories of interruptions were identified during analysis of the medical error case. CONCLUSIONS: Findings from this study provide evidence that the hybrid model of categorization is more complete than either a deductive or an inductive method alone. The hybrid method developed in this study provides the methodical support for understanding, analyzing, and managing interruptions and workflow.

Immune modulation alters brain opioid activities: Evidence for a role of muramyl dipeptide in the process of neuroimmunemodulation

During the last twenty years a scientific basis for the anecdotal reports of an interaction between the brain and the immune system has established neuroimmunemodulation as a new field of study in the biomedical sciences. A means for the brain to exert a regulatory influence upon various lymphoid reactions has been well established by many investigators world wide. This dissertation was geared to test the central hypothesis that the immune system, in turn, produces signals which affect CNS functions. Specifically, it is shown through several different experiments, behavioral and electrophysiologic, that the immune modifiers interferon-alpha, gamma irradiation, cyclosporine-A and muramyl-dipeptide modify brain opioid related activities. Each agent attenuates naloxone-precipitated morphine withdrawal following either systemic or intracranial injection. Each agent also has effects upon either the acute antinociceptive or hypothermic activities of morphine. Finally, each agent modifies baseline evoked electrical activity of several brain areas of awake freely-behaving rats. Later studies demonstrate that muramyl-dipeptide modifies the unit firing rate of single neurons in the brain following either systemic or localized administration within the brain. These results suggest that the immune system produces signals which affect brain activity; and thus, support the contention of a bi-directional interaction between the brain and the immune system. ^

The effectiveness of a needleless intravenous system in prevention of percutaneous injury in two hospitals

This study assessed if hospital-wide implementation of a needleless intravenous connection system reduces the number of reported percutaneous injuries, overall and those specifically due to intravenous connection activities.^ Incidence rates were compared before and after hospital-wide implementation of a needleless intravenous system at two hospitals, a full service general hospital and a pediatric hospital. The years 1989-1991 were designated as pre-implementation and 1993 was designated as post-implementation. Data from 1992 were not included in the effectiveness evaluation to allow employees to become familiar with use of the new device. The two hospitals showed rate ratios of 1.37 (95% CI = 1.22-1.54, p $\le$.0001) and 1.63 (95% CI = 1.34-1.97, p $\le$.0001), or a 27.1% and a 38.6% reduction in overall injury rate, respectively. Rate ratios for intravenous connection injuries were 2.67 (95% CI = 1.89-3.78, p $\le$.0001) and 3.35 (95% CI = 1.87-6.02, p $\le$.0001), or a 62.5% and a 69.9% reduction in injury rate, respectively. Rate ratios for all non-intravenous connection injuries were calculated to control for factors other than device implementation that may have been operating to reduce the injury rate. These rate ratios were lower, 1.21 and 1.44, demonstrating the magnitude of injury reduction due to factors other than device implementation. It was concluded that the device was effective in reduction of numbers of reported percutaneous injuries.^ Use-effectiveness of the system was also assessed by a survey of randomly selected device users to determine satisfaction with the device, frequency of use and barriers to use. Four hundred seventy-eight surveys were returned for a response rate of 50.9%. Approximately 94% of respondents at both hospitals expressed satisfaction with the needleless system and recommended continued use. The survey also revealed that even though over 50% of respondents report using the device "always" or "most of the time" for intravenous medication administration, flushing lines, and connecting secondary intravenous lines, needles were still being used for these same activities. Compatibility, accessibility and other technical problems were reported as reasons for using needles for these activities. These problems must be addressed, by both manufacturers and users, before the needleless system will be effective in prevention of all intravenous connection injuries. ^

A web-based non-intrusive ambient system to measure and classify activities of daily living.

BACKGROUND The number of older adults in the global population is increasing. This demographic shift leads to an increasing prevalence of age-associated disorders, such as Alzheimer's disease and other types of dementia. With the progression of the disease, the risk for institutional care increases, which contrasts with the desire of most patients to stay in their home environment. Despite doctors' and caregivers' awareness of the patient's cognitive status, they are often uncertain about its consequences on activities of daily living (ADL). To provide effective care, they need to know how patients cope with ADL, in particular, the estimation of risks associated with the cognitive decline. The occurrence, performance, and duration of different ADL are important indicators of functional ability. The patient's ability to cope with these activities is traditionally assessed with questionnaires, which has disadvantages (eg, lack of reliability and sensitivity). Several groups have proposed sensor-based systems to recognize and quantify these activities in the patient's home. Combined with Web technology, these systems can inform caregivers about their patients in real-time (e.g., via smartphone). OBJECTIVE We hypothesize that a non-intrusive system, which does not use body-mounted sensors, video-based imaging, and microphone recordings would be better suited for use in dementia patients. Since it does not require patient's attention and compliance, such a system might be well accepted by patients. We present a passive, Web-based, non-intrusive, assistive technology system that recognizes and classifies ADL. METHODS The components of this novel assistive technology system were wireless sensors distributed in every room of the participant's home and a central computer unit (CCU). The environmental data were acquired for 20 days (per participant) and then stored and processed on the CCU. In consultation with medical experts, eight ADL were classified. RESULTS In this study, 10 healthy participants (6 women, 4 men; mean age 48.8 years; SD 20.0 years; age range 28-79 years) were included. For explorative purposes, one female Alzheimer patient (Montreal Cognitive Assessment score=23, Timed Up and Go=19.8 seconds, Trail Making Test A=84.3 seconds, Trail Making Test B=146 seconds) was measured in parallel with the healthy subjects. In total, 1317 ADL were performed by the participants, 1211 ADL were classified correctly, and 106 ADL were missed. This led to an overall sensitivity of 91.27% and a specificity of 92.52%. Each subject performed an average of 134.8 ADL (SD 75). CONCLUSIONS The non-intrusive wireless sensor system can acquire environmental data essential for the classification of activities of daily living. By analyzing retrieved data, it is possible to distinguish and assign data patterns to subjects' specific activities and to identify eight different activities in daily living. The Web-based technology allows the system to improve care and provides valuable information about the patient in real-time.

Intensive care without walls - introduction of a Medical Emergency Team system in a Swiss tertiary care centre.

QUESTIONS UNDER STUDY To improve the response of deteriorating patients during their hospital stay, the University Hospital Bern has introduced a Medical Emergency Team (MET). Aim of this retrospective cohort study is to review the preceding factors, patient characteristics, process parameters and their correlation to patient outcomes of MET calls since the introduction of the team. METHODS Data on patient characteristics, parameters related to MET activation and intervention and patient outcomes were evaluated. A Vital Sign Score (VSS), which is defined as the sum of the occurrence of each vital sign abnormalities, was calculated for all physiological parameters pre MET event, during event and correlation with hospital outcomes. RESULTS A total of 1,628 MET calls in 1,317 patients occurred; 262 (19.9%) of patients with MET calls during their hospital stay died. The VSS pre MET event (odds ratio [OR] 1.78, 95% confidence interval [CI] 1.50-2.13; AUROC 0.63; all p <0.0001) and during the MET call (OR 1.60, 95% CI 1.41-1.83; AUROC 0.62; all p <0.0001) were significantly correlated to patient outcomes. A significant increase in MET calls from 5.2 to 16.5 per 1000 hospital admissions (p <0.0001) and a decrease in cardiac arrest calls in the MET perimeter from 1.6 in 2008 to 0.8 per 1000 admissions was observed during the study period (p = 0.014). CONCLUSIONS The VSS is a significant predictor of mortality in patients assessed by the MET. Increasing MET utilisation coincided with a decrease in cardiac arrest calls in the MET perimeter.

Using Informatics and the Electronic Medical Record to Describe Antimicrobial Use in the Clinical Management of Diarrhea Cases at 12 Companion Animal Practices

Antimicrobial drugs may be used to treat diarrheal illness in companion animals. It is important to monitor antimicrobial use to better understand trends and patterns in antimicrobial resistance. There is no monitoring of antimicrobial use in companion animals in Canada. To explore how the use of electronic medical records could contribute to the ongoing, systematic collection of antimicrobial use data in companion animals, anonymized electronic medical records were extracted from 12 participating companion animal practices and warehoused at the University of Calgary. We used the pre-diagnostic, clinical features of diarrhea as the case definition in this study. Using text-mining technologies, cases of diarrhea were described by each of the following variables: diagnostic laboratory tests performed, the etiological diagnosis and antimicrobial therapies. The ability of the text miner to accurately describe the cases for each of the variables was evaluated. It could not reliably classify cases in terms of diagnostic tests or etiological diagnosis; a manual review of a random sample of 500 diarrhea cases determined that 88/500 (17.6%) of the target cases underwent diagnostic testing of which 36/88 (40.9%) had an etiological diagnosis. Text mining, compared to a human reviewer, could accurately identify cases that had been treated with antimicrobials with high sensitivity (92%, 95% confidence interval, 88.1%-95.4%) and specificity (85%, 95% confidence interval, 80.2%-89.1%). Overall, 7400/15,928 (46.5%) of pets presenting with diarrhea were treated with antimicrobials. Some temporal trends and patterns of the antimicrobial use are described. The results from this study suggest that informatics and the electronic medical records could be useful for monitoring trends in antimicrobial use.