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J Occup Health year 2004 volume 46 number 6 page 500 - 505
Classification Field Study
Title Predictors of Job Satisfaction among Physiotherapists in Turkey
Author Levent EKER1, Emine Handan TUZUN2, Arzu DASKAPAN2 and Ozgur SURENKOK2
Organization 1Mother and Child Health Care and Family Planning General Directorate, Ministry of Health, 2Department of Physical Therapy and Rehabilitation, Faculty of Health Sciences, Baskent University, Turkey
Keywords Job satisfaction, Physiotherapist, Turkey
Correspondence L. Eker, Saglik Bakanligi, Ana Cocuk Sagligi ve Aile Planlamasi Genel Mudurlugu, Sihhiye Ankara, Turkey (e-mail: levent@saglik.gov.tr)
Abstract Predictors of Job Satisfaction among Physiotherapists in Turkey: Levent EKER, et al. Mother and Child Health Care and Family Planning General Directorate, Ministry of Health, Turkey-The aim of this study was to investigate the level of job satisfaction among physiotherapists, and to identify the best predictors of job satisfaction. A self-administrated questionnaire survey was conducted in September 2003. Data were collected from 198 physiotherapists in 13 health care settings (five university hospitals, seven government hospitals, and one municipality hospital) located in Ankara, Turkey. Respondents were asked to complete a 31-item job satisfaction questionnaire. The response rate was 79.8%. The percentage of satisfied physiotherapists was 45.5%. There were no significant satisfaction differences between genders or between age groups. There was a positive relationship between the global satisfaction and domain scores (all ps<0.01). Logistic regression analysis showed that the most important predictors of job satisfaction were: (1) Leadership (OR=1.03, 95% CI 1.01 to 1.06), (2) Interpersonal relationships (OR=1.03, 95% CI 1.00 to 1.05), (3) Advancement (OR=1.02, 95% CI 1.00 to 1.05), and (4) Salary (OR=1.02, 95% CI 1.00 to 1.04). Specific job satisfaction dimensions indicate that highest dissatisfaction levels occur in the area of salary and advancement. Areas of dissatisfaction are signals for change.