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Effective Factor Analysis on Health Related Absence among Nurses of Clinical Wards in General Hospitals Affiliated to Tehran

University of Medical Sciences

Arab M¹, Hayati Y², Movahed Kor E^3*, Hosseini M⁴

Submitted: 2015.10.5 Accepted: 2016.2.13

Abstract

Background: Nowadays, managers should develop working conditions which attracts new nurses, retains current nurses and prevents their absenteeism. This study at aim at determining Effective Factor Analysis on Health Related Absence among Nurses of Clinical Wards in General Hospitals Affiliated to Tehran University of Medical Sciences

Materials and Methods: four hundred nurses of clinical wards selected as sample size to participate in this descriptive-analytical; cross-sectional study from general hospitals of Tehran University of Medical Sciences. The instrument was a questionnaire in 100 items and two sections including demographic characteristics (13 items) and effective factors of sickness absence (organizational- directorial factors in 49 questions, physical factors in 16 questions and mental factors in 22 questions).

The validity of questionnaire confirmed by experts and reliability was calculated 0.79.Absenssism criterion was based on Rajbhandary and Basu' definition (2010); total numbers of days that they didn't present at ward/hospital due to sickness. Data gathered retrospectively from nurses' records. Data analyzed by SPSS using descriptive statistics tests, simple and multiple linear regressions.

Results: The mean age of participants was 44.97±5.910 and 73.8 of them were women. Explaining power of predicting factors was very well (F=71.121, P<0.01). Variables such as Marital Status (β=0.150, P<0.001), ward's type (β=-0.553, P<0.001), physical factors (β=0.101, P=0.001) and mental factors (β=0.226, P<0.001) explained 42% of the absence variance.

Conclusion: considering some aspects such as physical and mental factors and also health issues of nursing staff based on wards' type can be result in absenteeism reduction.

Keywords: Absenteeism, Health Problems, Nurses, Clinical.

1. Professor, Dept. of Health Management & Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

2. M.Sc in Health Care Management, Dept. of Health Management & Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

3. PhD Candidate in Health Care Management, Dept. of Health Management & Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran (*Corresponding Author), Tel: 02188989129, Email:

[email protected]

4. Professor, Dept. of Epidemiology & Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran