Assessing the quality of a web-based learning system for nurses

Nurses' satisfaction with an educational web application to prevent transmission of multidrug-resistant organisms

Multidrug-resistant organism infections are a serious health problem globally, and can result in patient mortality and morbidity. In this descriptive study, we produced the first web application for transmission prevention specific to the situation based on nursing experience, knowledge, and practice guidelines and to evaluate web application satisfaction among Thai nurses. The sample comprised 282 Thai registered nurses experienced in caring for patients with multidrug-resistant organisms in a tertiary hospital. A demographic form and knowledge test were completed anonymously online. Data were analyzed using descriptive statistics. The application emphasized crucial topics for which participants had low preliminary knowledge and included tutorial sessions, pictures, video clips, drills, and a post-test. The application was piloted with a random sample of 30 nurses, and an instrument tested their satisfaction with this. Results revealed that preliminary knowledge scores for preventing transmission were moderate, and participants were highly satisfied with the application. Findings suggest the application is suitable for Thai nurses and could be applied to nursing practice elsewhere. However, further testing is recommended before implementing it into nursing practice.

Development and Application Evaluation of a Nursing Simulation Teaching Information System Based on Hospital Information Systems

BACKGROUND

The extensive application of hospital information systems in the current information-driven era suggests that nursing education should focus on information education.

METHODS

The newly developed hospital information system was used and evaluated by 544 students to explore the feasibility and necessity of such applications for teaching.

RESULTS

Overall, 97.1% of the students expressed satisfaction, and 96.0% supported simulated information education for nursing. The usability was good, with the system receiving a usability score of 72.625 ± 13.0907. The junior students had a higher score than the sophomores regarding system availability, and the difference was statistically significant.

CONCLUSIONS

Students generally had a high degree of satisfaction with the simulated information nursing education system and highly approved of the teaching method. However, the system needs to be upgraded.

Developing a Recommendation Model for the Smart Factory System

In Industry 4.0, the concept of a Smart Factory heralds a new phase in manufacturing; the Smart Factory System (SFS) will have a huge demand in Taiwan. However, the cost of constructing a factory system will be high, and the complexity processes and introduction time must be considered. Thus, it is important to figure out how to grasp the key success factors for Smart Factories to reduce difficulties in the process, deal with the occurrence of problems, and improve the success rate of constructing Smart Factories. This research constructs an SFS recommendation model to make up for past research deficiencies in terms of recommendation. It combines the methodology of the Engel–Kollat–Blackwell Model (EKB Model) and the Modified Delphi Method to derive SFS recommendation indicators. Through analyzing weights, the ELECTRE II was used to obtain the importance of each dimension by calculating the Modified Compound Advantage Matrix. For prototype indicators, it reviewed the past literature to find out deficiencies and examined the world’s four largest manufactories or computer technology corporations to analyze their Smart Factory solutions regarding the SFS function characteristics. The survey ran for several rounds with a group of five experts to amend indicators until a consensus was obtained. It proposed 64 indicators of 8 primary dimensions in total, based on the Updated Information System Success Model, and then added the concepts of SFS Function characteristics, Information Security, Perceived Value, Perceived Risk, and UI Design. According to the indicators, the framework and prototype of this system will provide solutions and references for purchasing SFS, the functions of which include SFS purchase ability analysis, demand analysis of manufacture problems, and raking and scoring of recommendation indicators. It will provide real-time ranking and the best alternative recommendations to suppliers, and will not only be referred to for design and modification but also enable the requirements to be closer to the users’ demands.

Validation of the online theoretical module of a minimally invasive surgery blended learning course for nurses: A quantitative research study

BACKGROUND

The progressive development of Minimally Invasive Surgery (MIS) implies the need to train health professionals in such field, for which e-learning and blended learning methods are increasingly been used. Most nurses lack experience and training in MIS, so a laparoscopic blended learning course for nursing has been created.

OBJECTIVES

To perform the validation of the online theoretical module of such course to evaluate student perception and satisfaction, sociability and usability metrics, and also the interest of nurses in blended learning.

DESIGN

A quantitative design has been used.

PARTICIPANTS

24 nurses participated in the validation tests performing the online module of the course.

METHODS

Subjective (questionnaires) and objective (performance statistics) metrics were analysed.

RESULTS

The e-learning environment has ease of access, good layout, consistency and intuitive navigation. Chat and forums have not been used and nurses miss a moderator. Participants consider that videos provide added value to the course, and contents are easily understandable and of high quality. However, questionnaires are not well balanced in difficulty and few interactive 3D designs have been viewed. Participants consider blended learning as the most effective training method for its flexibility in time and place.

CONCLUSIONS

This study suggests that a simple, easy-to-use and attractive e-learning environment has been developed to train nurses in MIS. However, installation of additional software should be avoided. A moderator/tutor should manage forums to encourage user participation, using conversational agents. But nevertheless, chats have no interest. Questionnaires for content evaluation should be designed with efficiency and equity. Videos designed according to micro-learning, with audio and interactivity, should be included. These courses should be designed to meet factors to promote the engagement of students. Blended learning is considered by nurses as ideal method for training, but further research to assess whether it improves learning outcomes is needed.

A Rough Hybrid Multicriteria Decision-Making Model for Improving the Quality of a Research Information System

Improving the quality of research information systems is an important goal in the process of improving the performance of research management in Chinese universities. Since the evaluation of information system (IS) quality is a multicriteria decision problem, it is critical to identify the interrelationships among the dimensions and criteria, and decide on the important criteria for proposed improvement strategies. This paper suggests a hybrid multicriteria decision-making (MCDM) model for improving the quality of a research information system. First, a rough method combined with the decision-making trial and evaluation laboratory and analytical network process (rough DANP) model is used to improve the objectivity of expert judgements. Additionally, the rough DANP can be used to construct an influential network relationship map (INRM) between research information system components to derive the criterion weights. The complex proportional assessment of alternatives with rough numbers (COPRAS-R) is applied to evaluate the performance of the research information system. A Chinese university research information system is chosen to illustrate the usefulness of the proposed model. The results show that efficiency, effectiveness, and user frequency have the highest priorities for improvement. Selected management implications based on the actual case study are supplied.

Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention

Purpose

– The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system.

Design/methodology/approach

– Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling.

Findings

– Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning system, and this in turn leads to their continued system usage intention.

Originality/value

– First, the application of the ECM with the view of updated DeLone and McLean IS success model reveals deep insights into quality evaluation (including information quality, system quality, and support service quality) in the field of nurses’ e-learning continuance intention. Especially, this study additionally contributes to the identification of instructor quality that may lead to nurses’ continued blended e-learning usage intention. Next, the empirical evidence on capturing both extrinsic motivator (i.e. PU) and intrinsic motivator (i.e. flow) for completely explaining quality antecedents of nurses’ blended e-learning continuance intention is well documented.

Nurses' Internet self-efficacy and attitudes toward web-based continuing learning

OBJECTIVE

There are increasing opportunities for nurses to engage in continuing learning via the Internet; hence, it is important to explore nurses' attitudes toward web-based continuing learning.

METHOD

This paper explores 267 Taiwanese clinical nurses' attitudes toward web-based continuing learning. In addition, the role of the nurses' Internet self-efficacy in their attitudes is investigated. This study utilizes two questionnaires to respectively survey the nurses' Internet self-efficacy and their attitudes toward web-based continuing learning. In particular, the Internet Self-efficacy Survey includes two scales: 'Basic self-efficacy' (the perceived confidence of using basic Internet functions, such as the confidence in using a web browser or searching for online information) and 'Advanced self-efficacy' (the perceived confidence of using advanced Internet functions, such as the confidence in online discussion or making online payments).

RESULTS AND FINDINGS

Exploratory factor analyses indicated adequate reliability and validity of the two questionnaires. The regression analyses revealed that both nurses' basic and advanced Internet self-efficacy can positively explain the perceived usefulness, ease of use and friendly feeling when using web-based continuing learning environments, whereas nurses' advanced Internet self-efficacy was the only predictor to explain how they intend to use web-based continuing learning environments more.

Research on application information system integration platform in medicine manufacturing enterprise

Computer and information technology popularizes in the medicine manufacturing enterprise for its potentials in working efficiency and service quality. In allusion to the explosive data and information of application system in current medicine manufacturing enterprise, we desire to propose a novel application information system integration platform in medicine manufacturing enterprise, which based on a combination of RFID technology and SOA, to implement information sharing and alternation. This method exploits the application integration platform across service interface layer to invoke the RFID middleware. The loose coupling in integration solution is realized by Web services. The key techniques in RFID event components and expanded role-based security access mechanism are studied in detail. Finally, a case study is implemented and tested to evidence our understanding on application system integration platform in medicine manufacturing enterprise.

Engagement in E-learning opportunities: an empirical study on patient education using expectation confirmation theory

Medical e-learning technology is widely employed to create an online platform for patients and healthcare providers alike. However, there are few studies that have investigated the reasons why some users reject e-learning technology usage after their initial experience. This study was conducted with the aim to better understand the factors leading to patients' continued usage of e-learning technologies. The theoretical foundation was based on the expectation-confirmation theory (ECT). The questionnaire survey was conducted during a two-month period and covered a total sample of 281 outpatients in a regional-teaching hospital. We found that the intention to continue e-learning usage was significantly related to patients' education level, expectation, perceived performance, confirmation and satisfaction. The use of this ECT model may provide administrators in the healthcare industry insights into the implementation of e-learning technologies. This research also opens up a new direction and enhances the completeness of related researches in the fields of medical informatics and health education.

Determining patient preferences for remote monitoring

This paper presents the patient preferences for an application in remote health monitoring. The data was collected through a mobile service prototype. Analytical Hierarchy Process and Conjoint Analysis were used to extract the patient preferences. The study was limited to diabetes and obesity patients in Istanbul, Turkey. Results indicated that sending users' data automatically, availability of technical support, and price are key factors impacting patient's decisions. This implies that e-health service providers and designers should focus on the services that enable users to send measurement results automatically instead of manually.

Applying non-synchronized e-learning to the nursing clinical ladder system

The time and spatial constraints of face-to-face learning often affect nursing staff's inclination to enroll in ladder system training classes. Hence, their competence in clinical care may be unable to meet the requirements of the hospitals they work at. The e-learning mechanism offers a way to overcome such constraints. However, the differences in learners' achievement and satisfaction between traditional face-to-face and non-synchronized e-learning classes in the nursing clinical ladder system have not been thoroughly investigated. In this study, 155 nursing personnel serving at the case hospital, enrolled in N1/N2 ladder courses, were invited to participate as the subjects. The results showed that those who attended face-to-face learning classes reported higher satisfaction but achieved less in class than those in the e-learning class. The factors which influence the subjects' satisfaction with e-learning were investigated and summarized.