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Volume 1, Issue 2 (3-2012)
Abstract
Introduction: Needlestick (NSI) is a known serious treat and occupational exposure among health care workers especially nurses. Since nurses are the biggest part of healthcare workers, and considerable percent of NSI are preventable, we decided to determine frequency of NSI and some related occupational factors among a group of them.
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Methods and Materials: This cross-sectional project was conducted among all the nurses (340 nurses with at least one year work experience) in Babol and Amirkola educational and private hospitals (in north of Iran). The data were gathered by means of a tailor-made data collection sheet including personal information and some occupational effective factors, during autumn and winter. The data were analyzed with descriptive statistical indexes and Chi-square test.
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Results: Our result showed that the relative frequency of NSI among the nurses group (the mean age of nurses was 33.8±7.7 years old and the mean work experience was 10.3±8 years) was 59.7 percent. Chi-square test result indicated that there were significant differences between NSI in different groups of some personal and occupational factors including age, years of experience, training condition, and needle recapping(p<0.05).
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Conclusion: According to positive effects of training and negative effects of incorrect working habits, repetition and completion of occupational education is necessary.
Payam Khanlari, Ahmadali Noorbalatafti, Fakhradin Ghasemi, Shahrzad Ghiyasvandian, Kamal Azam, Seyed Abolfazl Zakerian,
Volume 16, Issue 1 (3-2026)
Abstract
Introduction: Healthcare workers face high rates of depression and anxiety due to job-related stressors, which harm their well-being and compromise care quality and patient safety. This study aims to integrate evidence and expert/stakeholder insights to identify and prioritize factors affecting healthcare workers’ mental health, enabling more targeted interventions and efficient resource allocation.
Material and Methods: This qualitative-ranking study used semi-structured interviews with purposively sampled hospital occupational health managers to identify factors affecting healthcare workers’ mental health, with interviews recorded, transcribed, and analyzed using content analysis in MAXQDA until saturation. The identified factors were then rated by industrial psychology experts and psychiatrists using a five-point Likert survey.
Results: 12 occupational health managers were interviewed, and 18 experts completed the ranking. 51 factors across 19 subcategories were identified in four main work-system levels: Individual (14 factors), Work/Task (16), Organizational (12), and External (9). In ranking, a history of mental illness was rated as the most important factor (mean 4.36), while working with automation was rated as the least important (mean 2.84); 11 factors scored >4, and many factors scored 3.5–4.
Conclusion: Using a systemic approach and stakeholder input, this study identified and prioritized factors affecting healthcare workers’ mental health across four levels—individual, work/task, organizational, and external—enabling more targeted, evidence-based interventions.
