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Background: Using tools from outside healthcare can help improve patient safety. Pointing and Calling (Shisa Kanko) is an operational procedure developed for industry in Japan to prevent human error and has been used in healthcare in Asian countries to reduce errors during medication administration. Pointing and Calling affects cognitive task switching by pointing to a place or object and calling out the operation to be performed. Aim: Conduct an initial use case to examine the willingness and ability of healthcare professionals in a Western country to use Pointing and Calling. Methods: An observational initial use case was conducted with nineteen Advanced Care Paramedic students. Confidence, perceptions, and use of Pointing and Calling were measured during a simulated clinical scenario along with facilitator perceptions. Results: After the simulation participants were confident in their ability to use Pointing and Calling, found the method to be beneficial, and indicated they would use Pointing and Calling in the future. Participants often used the method for tasks such as checking vitals. Aspects of the method requiring clarification and more training were identified. Facilitators indicated the method appeared beneficial during simulations and could be incorporated into existing curriculum. Conclusions: The benefits of Pointing and Calling are readily apparent to students and facilitators and both groups are receptive to the method. Pointing and Calling is low risk with substantial potential benefits. With more education and training Pointing and Calling could be effectively implemented. [ABSTRACT FROM AUTHOR]

Numerous measures have been developed for the assessment of interprofessional attitudes, including the Interprofessional Attitudes Scale (IPAS). The purpose of this study was to assess, and contribute to, the validity evidence for the IPAS. The IPAS was used in a three-year longitudinal study to collect data from first year health professionals. Three forms of assessment were conducted to accrue validity evidence for the IPAS: Exploratory Factor Analysis, Item Analysis, and analysis using Item Response Theory. Data was collected from 337 participants over three years. Separately, and cumulatively, the Exploratory Factor Analysis, Item Analysis and analysis using Item Response Theory identified issues with the content, response process, internal structure, and consequential validity of the IPAS. The outcomes of the present study call into question the use of the IPAS, and other measures, for the assessment of interprofessional attitudes. The present study contributes several pieces of evidence to the validity of the IPAS and the reevaluation of the use of attitude assessment in interprofessional education. [ABSTRACT FROM AUTHOR]

Longitudinal evaluation of interprofessional programming is necessary to understand the impact of interprofessional education (IPE) for collaborative practice. Attitude is one measure of intended behavior. The Interprofessional Attitude Scale (IPAS) was developed as an improved measure to examine the readiness for interprofessional education and collaborative practice. As a means to pilot a protocol for a longitudinal comprehensive evaluation of an interprofessional program with 13 health professional programs in 6 health science faculties, the IPAS was administered over a 3-year period to three cohorts of students. The results of the IPAS indicated no significant differences detected across the 3 years. Although there was a significant difference on the Patient Centredness subscale for Cohorts 2 and 3 the effect size was small. Previous experience in an interprofessional course was a predictor of more positive patient centeredness attitudes, but other IPE experience and years of education were not predictors of any interprofessional attitudes. Students from the Medicine & Dentistry (M&D) faculty ranked significantly lower on the teamwork roles and responsibilities subscale compared to the other faculties, except Rehabilitation Medicine (RM). However, once the outliers in RM were removed, there was a significant difference on this subscale between RM and M&D. This paper outlines the challenges with using the IPAS as part of a comprehensive program evaluation and identifies issues with longitudinal data collection for evaluation with large student cohorts. [ABSTRACT FROM AUTHOR]

The authors reflect on the disruptions and innovations in interprofessional attitude assessment in interprofessional education (IPE) and interprofessional collaboration (IPC). Topics include the challenges in IPE and IPC like item design, the use of psychometric evidence to optimize reliability, validity and item discrimination, and some assessment factors like organizational policies, professional codes of conduct and systems of accountability.

Background: The purpose of this study was to examine the career decision-making process of International Medical Graduates (IMGs). There are two main types of IMGs who apply for licensure in Canada. Canadian International Medical Graduates (CIMGs) were Canadian citizens before leaving to study medicine in a foreign country, in comparison to those non-CIMGs who had studied medicine in a foreign country before immigrating to Canada. Given that their motivations for becoming a doctor in Canada may differ, it is important to examine how they decided to become a doctor for each group separately. Methods: A total of 46 IMGs participated in a semi-structured interview - 20 were CIMGs and 26 were non-CIMGs. Results: An iterative process of content analysis was conducted to categorize responses from five open-ended questions according to the Ego Identity Statuses theory of career decision-making. Event contingency analysis identified a significant difference between CIMGs and non-CIMGs, Fisher's exact test (1) = 18.79, p<.0001. A total of 55% of CIMGs were categorized as identity achieved and 45% as foreclosed; 100% of non-CIMGs were classified as identity foreclosed. Conclusion: About half of the Canadian citizens who had studied medicine in a foreign country had explored different careers before making a commitment to medicine, and half had not. No IMGs, however, who studied medicine in another country before immigrating to Canada, had explored various career opportunities before selecting medicine. [ABSTRACT FROM AUTHOR]

Background: How effective have lockdowns been at reducing the covid-19 infection and mortality rates? Lockdowns influence contact among persons within or between populations including restricting travel, closing schools, prohibiting public gatherings, requiring workplace closures, all designed to slow the contagion of the virus. The purpose of the present study was to assess the impact of lockdown measures on the spread of covid-19 and test a theoretical model of the covid-19 pandemic employing structural equation modelling. Methods: Lockdown variables, population demographics, mortality rates, infection rates, and health were obtained for eight countries: Austria, Belgium, France, Germany, Italy, Netherlands, Spain, and the United Kingdom. The dataset, owid-covid-data.csv, was downloaded on 06/01/2020 from: https://github.com/owid/covid-19-data/tree/master/public/data. Infection spread and mortality data were depicted as logistic growth and analyzed with stepwise multiple regression. The overall structure of the covid-19 data was explored through factor analyses leading to a theoretical model that was tested using latent variable path analysis. Results: Multiple regression indicated that the time from lockdown had a small but significant effect (β = 0.112, p< 0.01) on reducing the number of cases per million. The stringency index produced the most important effect for mortality and infection rates (β = 0.588,β = 0.702, β = 0.518, β = 0.681; p< 0.01). Exploratory and confirmatory analyses resulted in meaningful and cohesive latent variables: 1) Mortality, 2) Infection Spread, 3) Pop Health Risk, and 4) Health Vulnerability (Comparative Fit Index = 0.91; Standardized Root Mean Square Residual = 0.08). Discussion: The stringency index had a large impact on the growth of covid-19 infection and mortality rates as did percentage of population aged over 65, median age, per capita GDP, diabetes prevalence, cardiovascular death rates, and ICU hospital beds per 100K. The overall Latent Variable Path Analysis is theoretically meaningful and coherent with acceptable fit indices as a model of the covid-19 pandemic. [ABSTRACT FROM AUTHOR]