91 Geriatric education of Dutch emergency physicians CHAPTER 4 Eligible EPs and managers were approached by e-mail and invited to participate in the study. The e-mail contained an explanatory cover letter with information on the background and purpose of the study, information on the use of data, and a digital link to the web-based questionnaire. Non-responders received a reminder with the link to complete the survey after 2 weeks and 4 weeks. Filling in the questionnaire was considered as consent. Quantitative and qualitative survey data were initially stored in Limesurvey, a frequently used and secured online questionnaire program and subsequently transferred to a SPSS database that was stored in a Radboudumc protected server. Supplement 3: Data analysis Means and standard deviations (SD) were used for continues variables. Frequencies and percentages were used for categorical and dichotomous variables. We used the Pearson’s Chi-squared test for the comparison of categorical and dichotomous data. We used the T-test for continuous data after determining the normality of the data by the Kolmogorov-Smirnov test and the assessment of skewness and kurtosis. Answers in free-text fields were evaluated by recoding the qualitative responses into categories, we then analyzed quantitatively. Principal components analysis with varimax rotation was used to summarize the empirical dimensions of perceived GEM educational needs. Following principal components analysis, we created factor-based composite scores for the items assessing perceived needs for GEM education. Composite scores were calculated as the average of the existing responses for each EP. Items with a loading >0.5 uniquely on a single factor were included in the factor-based composite scores (supplement 10, (ref 29)). After applying principal components analysis, we performed univariate regression analyses on both factors (needs for education in GEM and needs for education on the transition and follow-up of older adults) to identify possible associations between these factors and physician’s personal (i.e., age, gender, years of working experience, knowledge of available GEM education programs, taking sufficient time for GEM education) and clinical/organizational factors (i.e., working in an academic hospital, experiencing overdiagnosis for older adults in the ED, having the possibility to consult a geriatrician in the ED). Factors with a significance of p ≤ 0.20 in the univariate regression analyses were subsequently entered a multilevel multivariate analysis. We then performed multivariate linear regression with stepwise backward elimination. A p-value of <0.05 was statistically significant, based on two sided tests.
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