Establishment Decision Rules for Turnover of Nursing Staff - Applying Rough Set Theory

The research investigated the rules relevant with leaving reasons and personal characteristic variables of nursing staff by rough set theory (RST). RST can discover the important facts hidden in the data and describe them with natural language. That is it can describe the information provided by researchers in a broad sense and delete the redundant part of original data for the decision rules setting. It is expected the research can establish rules related with leaving reasons and personal characteristics variables of nursing staff. The study conducted analysis on 458 persons' data that include six attributes - age, marriage status, education, seniority, service department and dimission reasons to propose concerned suggestions and comments based on the research result as reference for Hospital A and other hospitals as well as relevant academic institutions.

[1]  Jacynthe Sourdif.  Predictors of nurses' intent to stay at work in a university health center. , 2004, Nursing & health sciences.

[2]  Pawan S. Budhwar,et al.  Explaining employee turnover in an Asian context , 2001 .

[3]  J. Kacprzyk,et al.  Advances in the Dempster-Shafer theory of evidence , 1994 .

[4]  S M Shortell,et al.  Organizational Assessment in Intensive Care Units (ICUs): Construct Development, Reliability, and Validity of the ICU Nurse-Physician Questionnaire , 1991, Medical care.

[5]  Allen C. Bluedorn.  A Unified Model of Turnover from Organizations , 1982 .

[6]  C. Hulin,et al.  Evaluation of the Mobley, Horner, and Hollingsworth model of employee turnover. , 1979 .

[7]  S. Cavanagh,et al.  Nursing turnover: literature review and methodological critique. , 1989, Journal of advanced nursing.

[8]  Organizations , 1992, Restoration & Management Notes.

[9]  R. Słowiński,et al.  Discriminant versus rough sets approach to vague data analysis , 1992 .

[10]  T W Tai,et al.  Review of nursing turnover research, 1977-1996. , 1998, Social science & medicine.

[11]  Francis Eng Hock Tay,et al.  Economic and financial prediction using rough sets model , 2002, Eur. J. Oper. Res..

[12]  R. Stephenson.  A and V , 1962, The British journal of ophthalmology.

[13]  Andrzej Skowron,et al.  From the Rough Set Theory to the Evidence Theory , 1991 .

[14]  Didier Dubois,et al.  Putting Rough Sets and Fuzzy Sets Together , 1992, Intelligent Decision Support.

[15]  J Shamian,et al.  Nurses' reports on hospital care in five countries. , 2001, Health affairs.

[16]  M. Langenbach,et al.  Curriculum issues related to nurse turnover. , 1994, The Journal of nursing education.

[17]  C. J. V. Rijsbergen,et al.  Rough Sets, Fuzzy Sets and Knowledge Discovery , 1994, Workshops in Computing.

[18]  Charles M. Futrell,et al.  Exploring salesperson turnover: A causal model , 1989 .

[19]  William C. Frederick,et al.  The Growing Concern over Business Responsibility , 1960 .