Cross‐sector analysis of simulation methods: a survey of defense and healthcare

A Prospective Assessment of Knee Arthroscopy Skills Between Medical Students and Residents-Simulator Exercises for Partial Meniscectomy and Analysis of Learning Curves

Background

The Covid-19 pandemic has created the largest disruption of education in history. In a response to this, we aimed to evaluate the knee arthroscopy learning curve among medical students and orthopaedic residents.

Methods

An arthroscopy simulator was used to compare the learning curves of two groups. Medical students with any prior knowledge of arthroscopy (n=24) were compared to a residents group (n=16). Analyzed parameters were “time to complete a task,” assessment of the movement of tools and values scoring damage to the surrounding tissues.

Results

After several repetitions, both groups improved their skills in terms of time and movement. Residents were on average faster, had less camera movement, and touched the cartilage tissue less often than did students. Students showed a steeper improvement curve than residents for certain parameters, as they started from a different experience level.

Conclusion

The participants were able to reduce the time to complete a task. There was also a decrease in possible damage to the virtual surrounding tissues. In general, the residents had better mean values, but the students had the steeper learning curve. Particularly less experienced surgeons can especially train their hand–eye coordination skills required for arthroscopy surgery. Training simulators are an important training tool that supplements cadaveric training and participation in arthroscopic operations and should be included in training.

Review of performance assessment frameworks of e-government projects

Purpose

The purpose of this paper is to summarize the literature of electronic government frameworks and models to identify various constructs and their relationship to measure the performance of e-government projects.

Design/methodology/approach

In total, 77 publications were identified from Scopus database after using exclusion and inclusion criteria. A total of 136 constructs were mapped across five categories. Further using network science, communities of usage of these constructs across different studies were identified.

Findings

Dominant constructs used across studies were ease of use, usefulness, user satisfaction, infrastructure, website maturity, security, user trust, transparency, empowerment, operational efficiency, service quality and information quality. This review offers directions for future research in terms of potential for constructs, which have been explored lesser in the existing literature.

Research limitations/implications

The study provides direction for the usage of theoretical lenses, constructs and association among usage for the evaluation of e-government projects, which have been used less in existing literature, and thus, has higher needs for greater exploration. Search scope is limited to Scopus database, which is one of the largest citation database.

Practical implications

It gives information to the policymakers about the importance of the dominant constructs such as user satisfaction, usefulness, ease of use, efficiency and quality, which have been used across the spectrum of studies of e-government performance assessment frameworks and models. Practitioners need to accommodate the relevance of these factors while designing processes and key performance indicators.

Originality/value

This study analyzes the e-government assessment frameworks and gives direction to theory building for future studies.

Development of modelling method selection tool for health services management: from problem structuring methods to modelling and simulation methods

BACKGROUND

There is an increasing recognition that modelling and simulation can assist in the process of designing health care policies, strategies and operations. However, the current use is limited and answers to questions such as what methods to use and when remain somewhat underdeveloped.

AIM

The aim of this study is to provide a mechanism for decision makers in health services planning and management to compare a broad range of modelling and simulation methods so that they can better select and use them or better commission relevant modelling and simulation work.

METHODS

This paper proposes a modelling and simulation method comparison and selection tool developed from a comprehensive literature review, the research team's extensive expertise and inputs from potential users. Twenty-eight different methods were identified, characterised by their relevance to different application areas, project life cycle stages, types of output and levels of insight, and four input resources required (time, money, knowledge and data).

RESULTS

The characterisation is presented in matrix forms to allow quick comparison and selection. This paper also highlights significant knowledge gaps in the existing literature when assessing the applicability of particular approaches to health services management, where modelling and simulation skills are scarce let alone money and time.

CONCLUSIONS

A modelling and simulation method comparison and selection tool is developed to assist with the selection of methods appropriate to supporting specific decision making processes. In particular it addresses the issue of which method is most appropriate to which specific health services management problem, what the user might expect to be obtained from the method, and what is required to use the method. In summary, we believe the tool adds value to the scarce existing literature on methods comparison and selection.