International Science Community Association Research Journal of Recent Sciences 2277 - 2502 3 12 2014 December 2 Study of Effective Factors on the Type of the Actors' Encounter while Planning to Sue: Case study of Tehran Milad Hospital Complaints Unit 42 47 EN ShedageKishor Ashok 1 Laboratory of Molecular Cell Physiology, Department of Applied Bioresources, Faculty of Agriculture, Ehime University, Matsuyama-790-8566,JAPAN Yasushi Kuwabara 2 Fuji Nojo Service, 5247-34 Kitayama, Fujinomiya, Shizuoka, 418-0012, JAPAN Shunnosuke Abe1 3 Venture Business Laboratory, Ehime University, Matsuyama-790-8577, JAPAN EugeneHayato Morita 4 Salajegheh Sanjar 1 Member of scientific board, Management Department, Islamic Azad University of Kerman, IRAN Pirmoradi Nasrin 2 Khorshidi Gh 1 Dept. of management and accounting, Shahid Beheshti University, Tehran, IRAN Alipourian G.A. 2 Dept. of Management, Semnan University Tehran, IRAN Hosseini S.M. 3 Aminbeydokhti A.A. 4 Shahrzad M 1 Management Department, Azad University of Tehran, North Tehran Branch, IRAN Ramzgooyan G 2 Afshari A 3 ChoudharyZahid Javid 1 Department of Foreign Languages, College of Arts, Taif University, Taif, KSA Aghaie Atefeh 1 Dept. of Sociology, Allaneh Tabatabaei University, Tehran, IRAN Hajizadeh Kazem 2 Shahid Beheshti University, Tehran, IRAN > Research Paper 2013 11 29 2014 December 2 Complaints are now considered as an essential part of the health care system to improve health standards. Client satisfaction is evaluated in the world's most prestigious centers. Our aim in this research is to observe the type of encounter of costumers to Milad Hospital complaints unit and to study its relation to age, sex, and social class, awareness of patient's right charter and cause of visit variables. This is considered as a quantitative, applied and transverse study. The research method and data collection techniques of observation are systematic and structured. Statistical population is the whole clients to complaint unit of Milad Hospital. 400 persons were observed out of random sampling in 2012. The research results indicate that there is a significant relation between type of encounter and all independent variables. Logistic Regression shows that social class, awareness of patient's rights, and cause of visit can explain 0.69 variation of dependent variable. In addition, social class is the most powerful predictor in this research. The results can be carefully generalized to large populations. Copyright@ International Science Community Association