Expanding scope of Kirkpatrick model from training effectiveness review to evidence-informed prioritization management for cricothyroidotomy simulation.

Modified Kirkpatrick model has been adopted to evaluate training effectiveness by 6 categories, including activity accounting (training objectives/success in organization change) at Level-0, reaction (satisfaction) at Level-1, learning (acquisition of surgical airway skills) at Level-2, behavior (post-training change in personal strengths) at Level-3, result (organizational or clinical outcomes) at Level-4, and Return on Investment (ROI) or Expectation (ROE) (monetary and societal values following training and other quality and safety related measures) at Level-5. The purpose of this hospital-based prospective observational study was twofold: i) To evaluate potential impacts on monetary and societal values and successful organization change following implementation of advanced Cricothyroidotomy simulator and standardized curriculum in healthcare simulation training, ii) To inform decisions of resource allocation by reviewing overall values and prioritization strategies for i) general surgeon/emergency physician ii) with seniority >5 years and iii) prior porcine training experience based on findings at Kirkpatrick Level-0, Level-4, and Level-5. Seventy doctors and 10 nurses completed Cricothyroidotomy training and follow-up questionnaires within 2021/22.

Prognostic Model of COVID-19 Severity and Survival among Hospitalized Patients Using Machine Learning Techniques.

We conducted a statistical study and developed a machine learning model to triage COVID-19 patients affected during the height of the COVID-19 pandemic in Hong Kong based on their medical records and test results (features) collected during their hospitalization. The correlation between the values of these features is studied against discharge status and disease severity as a preliminary step to identify those features with a more pronounced effect on the patient outcome. Once identified, they constitute the inputs of four machine learning models, Decision Tree, Random Forest, Gradient and RUSBoosting, which predict both the Mortality and Severity associated with the disease.

Harnessing power of simulation training effectiveness with Kirkpatrick model in emergency surgical airway procedures.

Objectives: Training effectiveness indicates how good a program has met pre-set training objectives or organizational goals for the best benefit of healthcare professionals and service users in the community. The study aimed to evaluate training effectiveness following implementation of new training curriculum of emergency surgical airway procedures (Cricothyroidotomy) organized by the Queen Elizabeth Hospital.

Design: This training evaluation relied on observational descriptive study design.

Investigating effects of healthcare simulation on personal strengths and organizational impacts for healthcare workers during COVID-19 pandemic: A cross-sectional study.

Introduction: This cross-sectional study aimed at evaluating impacts of healthcare simulation training, either in-situ or lab-based, on personal strengths of healthcare workers (HCWs) and organizational outcomes during the COVID-19 pandemic.

Methods: COVID-19 Taskforce was established to formulate standardized scenario-based simulation training materials in late-January 2020. Post-training questionnaires made up of 5-point Likert scales were distributed to all participants to evaluate their personal strengths, in terms of i) assertiveness, ii) mental preparedness, iii) self-efficacy, iv) internal locus of control, and v) internal locus of responsibility.