Identification of the Most Efficient Factors that Explain Confrontations Faced by Health Workers by Using a Two-Factor, Cross-Classification Linear Model with Applications

The violence that occurs in medical institutions include verbal threats, menacing behaviour, physical attacks, or sexual assaults, which are frequently initiated by patients, their relatives, or other individuals. These acts generate risks for health service workers. Workers in this field are attack...

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Bibliographic Details
Published inTEM Journal Vol. 6; no. 4; pp. 707 - 716
Main Authors MAZMANOĞLU, Adnan, TEPECiK, Abdulkadir, MAZMANOĞLU, Seda
Format Journal Article
LanguageEnglish
Published Novi Pazar UIKTEN - Association for Information Communication Technology Education and Science 01.11.2017
Subjects
Classification
Education
Health care facilities
ICT Information and Communications Technologies
Management of crises
Patients
Qualitative analysis
Sex crimes
Variance analysis
Violence
factorial design
variance analysis
twofactored crossclassification
modelling
Linear model
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Summary:The violence that occurs in medical institutions include verbal threats, menacing behaviour, physical attacks, or sexual assaults, which are frequently initiated by patients, their relatives, or other individuals. These acts generate risks for health service workers. Workers in this field are attacked sixteen times more frequently than workers in other fields. In this study, a two-factor cross-classification model was applied, utilizing qualitative data, to identify factors that can provoke confrontations (violence). There are ten levels of factors used in the model. We identified the most common factor (given a certain probability range) as well as the best estimator and single-solution vector.
ISSN:2217-8309
2217-8333
DOI:10.18421/TEM64-09