scholarly journals Knowledge translation following the implementation of a state-wide Paediatric Sepsis Pathway in the emergency department- a multi-centre survey study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amanda Harley ◽  
Luregn J. Schlapbach ◽  
Paula Lister ◽  
Debbie Massey ◽  
Patricia Gilholm ◽  
...  
Keyword(s):  
Emergency Department ◽  
Factor Analysis ◽  
Quality Improvement ◽  
Knowledge Translation ◽  
Exploratory Factor Analysis ◽  
Knowledge Score ◽  
Survey Study ◽  
Successful Implementation ◽  
Knowledge And Beliefs ◽  
Five Factors

Abstract Background Several health care systems internationally have implemented protocolised sepsis recognition and treatment bundles for children to improve outcomes, as recommended by the Surviving Sepsis Campaign. Successful implementation of clinical pathways is challenging and dependent on nurse engagement. There is limited data on knowledge translation during implementation of sepsis quality improvement programs. Methods This cross-sectional, multicentre observational survey study evaluated knowledge and perceptions of Emergency Department nurses in relation to the recognition, escalation and management of paediatric sepsis following implementation of a sepsis pathway. The study was conducted between September 2019 and March 2020 across 14 Emergency Departments in Queensland, Australia. The primary outcome was a sepsis knowledge score. An exploratory factor analysis was conducted to identify factors impacting nurses’ perceptions of recognition, escalation and management of paediatric sepsis and their association with knowledge. Using a logistic mixed effects model we explored associations between knowledge, identified factors and other clinical, demographic and hospital site variables. Results In total, 676 nurses responded to the survey and 534 were included in the analysis. The median knowledge score was 57.1% (IQR = 46.7–66.7), with considerable variation observed between sites. The exploratory factor analysis identified five factors contributing to paediatric sepsis recognition, escalation and management, categorised as 1) knowledge and beliefs, 2) social influences, 3) beliefs about capability and skills delivering treatment, 4) beliefs about capability and behaviour and 5) environmental context. Nurses reported strong agreement with statements measuring four of the five factors, responding lowest to the factor pertaining to capability and skills delivering treatment for paediatric sepsis. The factors knowledge and beliefs, capability and skills, and environmental context were positively associated with a higher knowledge score. Years of paediatric experience and dedicated nurse funding for the sepsis quality improvement initiative were also associated with a higher knowledge score. Conclusion Translation of evidence to practice such as successful implementation of a sepsis care bundle, relies on effective education of staff and sustained uptake of protocols in daily practice. Our survey findings identify key elements associated with enhanced knowledge including dedicated funding for hospitals to target paediatric sepsis quality improvement projects.

scholarly journals Patients’ views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire

2019 ◽  
Vol 30 (2) ◽  
pp. 1033-1040 ◽  
Author(s):  
Yfke P. Ongena ◽  
Marieke Haan ◽  
Derya Yakar ◽  
Thomas C. Kwee
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Latent Variables ◽  
Procedural Knowledge ◽  
Patient Questionnaire ◽  
Successful Implementation ◽  
Personal Interaction ◽  
Five Factors

Abstract Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. The aim of this article is to develop and validate a standardized patient questionnaire on the implementation of AI in radiology. Methods Six domains derived from a previous qualitative study were used to develop a questionnaire, and cognitive interviews were used as pretest method. One hundred fifty-five patients scheduled for CT, MRI, and/or conventional radiography filled out the questionnaire. To find underlying latent variables, we used exploratory factor analysis with principal axis factoring and oblique promax rotation. Internal consistency of the factors was measured with Cronbach’s alpha and composite reliability. Results The exploratory factor analysis revealed five factors on AI in radiology: (1) distrust and accountability (overall, patients were moderately negative on this subject), (2) procedural knowledge (patients generally indicated the need for their active engagement), (3) personal interaction (overall, patients preferred personal interaction), (4) efficiency (overall, patients were ambiguous on this subject), and (5) being informed (overall, scores on these items were not outspoken within this factor). Internal consistency was good for three factors (1, 2, and 3), and acceptable for two (4 and 5). Conclusions This study yielded a viable questionnaire to measure acceptance among patients of the implementation of AI in radiology. Additional data collection with confirmatory factor analysis may provide further refinement of the scale. Key Points • Although AI systems are increasingly developed, not much is known about patients’ views on AI in radiology. • Since it is important that newly developed questionnaires are adequately tested and validated, we did so for a questionnaire measuring patients’ views on AI in radiology, revealing five factors. • Successful implementation of AI in radiology requires assessment of social factors such as subjective norms towards the technology.

scholarly journals Metacognitive Rating Scale: A Study Applying a Korean Translation to Individuals with Schizophrenia

2021 ◽  
Vol 18 (13) ◽  
pp. 6853
Author(s):  
Mihwa Han ◽  
Kyunghee Lee ◽  
Mijung Kim ◽  
Youngjin Heo ◽  
Hyunseok Choi
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Mental Status ◽  
Rating Scale ◽  
Anger Expression ◽  
Principal Component ◽  
Negative Beliefs ◽  
Five Factors ◽  
Metacognitive Beliefs

Metacognition is a higher-level cognition of identifying one’s own mental status, beliefs, and intentions. This research comprised a survey of 184 people with schizophrenia to verify the reliability of the metacognitive rating scale (MCRS) with the revised and supplemented metacognitions questionnaire (MCQ) to measure the dysfunctional metacognitive beliefs of people with schizophrenia by adding the concepts of anger and anxiety. This study analyzed the data using principal component analysis and the varimax method for exploratory factor analysis. To examine the reliability of the extracted factors, Cronbach’s α was used. According to the results, reliability was ensured for five factors: positive beliefs about worry, negative beliefs about uncontrollability and danger of worry, cognitive confidence, need for control, and cognitive self-consciousness. The negative beliefs about uncontrollability and danger of worry and the need for control on anger expression, which were both added in this research, exhibited the highest correlation (r = 0.727). The results suggest that the MCRS is a reliable tool to measure the metacognition of people with schizophrenia.

An Effectiveness Model for Enterprise Architecture Methodologies

2015 ◽  
Vol 11 (2) ◽  
pp. 50-64 ◽  
Author(s):  
Babak Darvish Rouhani ◽  
Mohd Naz'ri Mahrin ◽  
Hossein Shirazi ◽  
Fatemeh Nikpay ◽  
Bita Darvish Rouhani
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Positive Relationship ◽  
Enterprise Architecture ◽  
Survey Study ◽  
Effectiveness Model ◽  
Five Factors ◽  
Proposed Model ◽  
Integrated Environment ◽  
Implementation Methodology

Enterprise Architecture (EA) is employed by enterprises for providing integrated environment to support the alignment of enterprise's business and Information Technology (IT). EA Implementation Methodology (EAIM) provides methods for managing, developing, and maintaining EA implementation. Several EAIMs have been proposed in literature; however effectiveness of EAIM has mostly been anecdotal, and research on this subject is still scant in the academic circles. This research is a survey study on the factors that affect the effectiveness of EAIM using quantitative approach. This study aims to explore the factors that affect the effectiveness of EAIM and proposed the effectiveness model for EAIMs. The exploratory factor analysis highlights a specific set of five factors: alignment, adaptiveness, support, binding, and innovation. The regression analysis shows that there is a statistically significant and positive relationship between each of the five factors and the effectiveness of EAIM. The findings contribute to the measurement of the EA implementation's effectiveness by providing an indication of the measurement implementation approaches which is used by the EA practitioners. Moreover, the proposed model can be used on developing an effective EAIM.

scholarly journals Chemical Safety in Academic Laboratories: An Exploratory Factor Analysis of Safe Work Practices & Facilities in a University

2016 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Mohsin Abbas ◽  
Adel M. Zakaria ◽  
Mansour A. Balkhyour ◽  
Muhammad Kashif
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Safety Management ◽  
Work Practices ◽  
Laboratory Safety ◽  
Fume Hood ◽  
Chemical Safety ◽  
Five Factors ◽  
Safe Work ◽  
Class 1

<p class="1"><span lang="EN-US">Academic laboratories considered as more hazardous than industry due to relaxed approach of academic management for chemical safety. This study designed to analyze the safe work practices and facilities by Exploratory Factor Analysis (EFA) using Varimax rotation. A designed checklist of 26 safety items administered personally in 68 academic laboratories in a Saudi university. From EFA, five factors were extracted: “Availability of laboratory safety documents (5 items, α = 0.92)”, “Maintenance of fume hood (2 items, α = 0.75)”, “Proper chemical storage (3 items, α = 0.64)”, “Proper use of fume hood for chemical handling (4 items, α = 0.62)” and “Laboratory safety labelling (2 items, α = 0.73)”. The results revealed the 5 factors model that grouped 16 safety items that may be crucial for chemical storage, fume hood, laboratory safety plans and labels in the academic laboratories. The extracted factors derived from EFA are expected to help in the development of chemical safety management in the academic laboratories. </span></p>

Measuring Nausea in Emergency Department Patients via the Use of Exploratory Factor Analysis

2010 ◽  
Vol 17 (6) ◽  
pp. e33-e39 ◽  
Author(s):  
Robert L. Cloutier ◽  
Bret E. Fuller ◽  
Robert G. Hendrickson ◽  
Nikolas Jones
Keyword(s):  
Emergency Department ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Emergency Department Patients

scholarly journals The Effect of Improving Cycleway Environment on the Recreational Benefits of Bicycle Tourism

2019 ◽  
Vol 16 (18) ◽  
pp. 3460 ◽  
Author(s):  
Yeh ◽  
Lin ◽  
Hsiao ◽  
Huang
Keyword(s):  
Factor Analysis ◽  
Quality Improvement ◽  
Exploratory Factor Analysis ◽  
Environmental Quality ◽  
Physical Environment ◽  
Important Determinant ◽  
Physical Activities ◽  
Main Factors ◽  
Recreational Benefits

Bicycle tourism is one of the popular physical activities for sport tourists. Since the physical environment may affect bicycling behavior, it becomes an important determinant for cyclists to choose a cycleway. Exploratory factor analysis is performed to extract the perception of environmental quality of cyclists into five main factors, including safety, light facilities, lane design, landscape, and environment cleanliness. The contingent behavior method (CBM) is adopted to measure the quality improvement projects in different scenarios of light facility and landscape improvement. The results showed that the improvement projects increased the intended number of trips and the recreational benefits of cyclists.

scholarly journals Assessing attitudes to ED-based HIV testing: Development of a short-structured survey instrument

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252372
Author(s):  
Aditi Rao ◽  
Emily M. Nagourney ◽  
Victoria H. Chen ◽  
Sarah Hill ◽  
Eili Y. Klein ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Hiv Testing ◽  
Exploratory Factor Analysis ◽  
Survey Instrument ◽  
Positive Influence ◽  
Successful Implementation ◽  
Hiv Diagnosis ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Survey Instruments

Introduction Emergency Department (ED)-based HIV counseling and testing (HCT) has had a significant impact on improving rates of HIV diagnosis and linkage to care. Unfortunately, expansion of this strategy to low- and middle-income countries has been limited. Successful implementation of ED-based HCT is dependent on patient and provider acceptance of the intervention, and their attitudes and pre-existing biases towards the disease. This study sought to develop validated survey instruments to assess attitudes towards ED-based HCT. Methods This cross-sectional study surveyed patients and providers in three EDs in the Eastern Cape province, South Africa. A convenience sample of patients and providers in the ED were surveyed. Exploratory factor analysis was conducted using questions on attitudes to HIV testing to develop validated survey instruments. An ANOVA test assessed variance in attitudes towards HCT based on demographic variables collected. Results A total of 104 patient and 132 provider surveys were completed. Exploratory factor analysis resulted in a 17- and 7-question attitudes survey for patients and providers, respectively. Overall, 92.3% of patients and 70.7% of providers supported ED-based HCT, however, both groups displayed only mildly positive attitudes. Questions representing ‘confidentiality’ and ‘stigma around HIV testing’ had the least positive influence on patients’ overall attitudes. Questions representing ‘comfort with HIV testing’ had the least positive influence on providers’ overall attitudes. Conclusion Our study demonstrated ED patients and providers are generally supportive of ED-based HCT. A validated survey instrument was able to provide a standardized approach to identify barriers to HCT implementation in an ED setting, across contexts. For successful implementation, behavioral interventions must focus on strengthening patient beliefs around confidentiality and the consent process, and providers’ comfort levels with providing HIV testing services in the ED.

scholarly journals Nurse Professionalism Scale: Development and Psychometric Evaluation

2020 ◽  
Author(s):  
Ana Vaz De Braganca ◽  
R. Nirmala
Keyword(s):  
Factor Analysis ◽  
Registered Nurses ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Factor Loading ◽  
Multisource Feedback ◽  
Self Report ◽  
Professional Conduct ◽  
Five Factors ◽  
Code Of Professional Conduct

Abstract Background Professionalism is a key trait connecting the nurse and patient, and Code of Professional Conduct, a professional legitimacy in considering nursing as a profession and an essential tool that facilitates nurse practice. This study aims to develop Nurse Professionalism Scale using the Code of Professional Conduct for Nurses in India and test the psychometric properties. Methods A sample of 1054 registered nurses working in various work areas at different levels and sectors of health care was selected using stratified random sampling. Data were collected through self-report from registered nurses and multi-source feedback from their supervisors and colleagues. A total of 830 self-reported data sets, 687 supervisor and 747 colleague responses were received. Following data cleaning, complete sets of 644 self-supervisor-colleague responses were used for analysis using exploratory factor analysis in SPSS version 25 and confirmatory factor analysis in AMOS 22. Results Reliability estimate for internal consistency of the 38 item scale was .910 (self report), .951 (supervisor feedback) and .952 (colleague feedback). Exploratory factor analysis using self-reports extracted five factors with 22 items at Eigen values > 1. Items with communalities ≥ .4 and factor loadings ≥ .5 were retained. Five factors explained total cumulative variance extracted at 51 percent and KMO value of .893 indicated sample adequacy. Bartlett Test of Sphericity was significant (χ2 = 3318, df = 231, p < .000). The factors are labelled with reference to the original code and higher factor loading. CFA using supervisors feedback (CMIN/DF = 2.938; GFI = .926, TLI = .927; CFI = .939 and RMSEA = .055) and colleagues feedback (CMIN/DF = 3.165; GFI = .921, TLI = .908; CFI = .923 and RMSEA = .058) yielded acceptable model fit indices confirming the psychometric properties. Conclusions The scale can be used as a tool to evaluate professionalism among nurses across different settings. Multisource feedback from stakeholders can also be considered as an effective method of gathering data on this construct.

scholarly journals 545 - Exploratory factor analysis of the Rowland Universal Dementia Assessment Scale.

2021 ◽  
Vol 33 (S1) ◽  
pp. 87-88
Author(s):  
J. Antonio Garcia-Casal ◽  
Natacha Coelho de Cunha Guimarães ◽  
Sofía Díaz Mosquera ◽  
María Alvarez Ariza ◽  
Raimundo Mateos Álvarez
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Principal Components ◽  
Principal Component ◽  
Assessment Scale ◽  
Cognitive Test ◽  
Five Factors ◽  
Bartlett’S Test

Background:Rowland Universal Dementia Assessment Scale (RUDAS) is a brief cognitive test, appropriate for people with minimum completed level of education and sensitive to multicultural contexts. It could be a good instrument for cognitive impairment (CI) screening in Primary Health Care (PHC). It comprises the following areas: recent memory, body orientation, praxis, executive functions and language.Research Objective:The objective of this study is to assess the construct validity of RUDAS analysing its internal consistency and factorial structure.Method:Internal consistency will be calculated using ordinal Cronbach’s α, which reflects the average inter-item correlation score and, as such, will increase when correlations between the items increase. Exploratory Factor Analysis will be used to arrange the variables in domains using principal components extraction. The factorial analysis will include the extraction of five factors reflecting the neuropsychological areas assessed by the test. The result will be rotated under Varimax procedure to ease interpretation.Exploratory factor analysis will be used to arrange the variables in domains using principal components extraction. The analysis will include Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett’s test of sphericity. Estimations will be based based on Pearson’s correlations between indicators using a principal component analysis and later replicated with a tetrachoric correlation matrix. The variance in the tetrachoric model will be analysed to indentify convergent iterations and their explicative power.Preliminary results of the ongoing study:RUDAS is being administered to 321 participants older than 65 years, from seven PHC physicians’ consultations in O Grove Health Center. The data collection will be finished by August 2021 and in this poster we will present the final results of the exploratory factor analysis.Conclusions:We expect that the results of the exploratory factor analysis will replicate the results of previous studies of construct validity of the test in which explanatory factor weights were between 0.57 and 0.82, and all were above 40%. Confirming that RUDAS has a strong factor construct with high factor weights and variance ratio, and 6-item model is appropriate for measurement will support its recommendation as a valid screening instrument for PHC.

scholarly journals FAKTOR-FAKTOR YANG MEMENGARUHI KEPUTUSAN KONSUMEN MELAKUKAN PEMBELIAN MAKANAN MELALUI MEDIA SOSIAL

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Aylinna Ongsano ◽  
Michael Ricky Sondak
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Collection ◽  
Exploratory Factor Analysis ◽  
Dominant Factor ◽  
Distribution Method ◽  
Internet Users ◽  
Five Factors ◽  
Eigen Value ◽  
Online Business

<p>Sophistication of technology is now increasingly, people becomes easier to access any information just by using internet. This evolution is called globalization. Now globalization makes Indonesian people tend to likes instant and practical things. Internet users in Indonesia is now increasing and most are social media active users. This makes Indonesia have a good prospects to do online business. The purpose of this study is to find out the factors that influence consumer’s decision for purchase online food and to determine the most dominant factor in consumer’s decision for purchasing online food. Population in this research is all Indonesia people who already experienced online transaction. Meanwhile, sample of this research is 73 consumers who have already purchased online food. Moreover, the technique of data collection in this study is through questionnaires distribution method and the questionnaires is using Likert scale instrument. Furthermore, the researcher process the data using SPSS with Exploratory Factor Analysis to obtain significant conclusions based on these research. Based on the hypothesis that has been calculated using the SPSS, the results are there are five factors that influence consumer’s decision for purchasing food through social media and the most dominant factor is life style, because it has the most high eigen value.<br />Keywords: Globalization, Social Media, Online Business, Exploratory Factor Analysis</p>

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