Evaluation of organizational and social commitments and related factors during the coronavirus pandemic of healthcare workers in northern Iran

Abstract

Background Serious conditions caused by the coronavirus epidemic are expected to affect the mental and physical health, organizational and social commitments of healthcare workers. Therefore, this study aimed to evaluate the organizational and social commitments and related factors during the coronavirus pandemic of healthcare workers in northern Iran. Methods This descriptive-analytical study was conducted in 2020 among 260 healthcare workers of Babol health centers by a stratified-random sampling method. Data were collected according to a valid and reliable questionnaire consisting of three parts: 8 questions about personal and job characteristics, 15 questions from Porter Organizational Commitment Questionnaire (OCQ), 15 questions from Carroll’s social responsibility. Each question was scored on the Likert scale of organizational and social commitment questionnaires. Data were analyzed by chi-square and logistic regression. P < 0.05 was considered as statistically significant. Results None of the healthcare workers belonged to the category of low organizational commitments. A portion of 27.7% of the healthcare workers had moderate organizational commitments and 72.3% had high organizational commitments. A portion of 9.2% of the healthcare workers had moderate social commitments and 90.8% had high social commitments. Chi-square showed that education (p = 0.001), job position (p = 0.001) and the area in which healthcare workers were present for service (p = 0.002) were significantly associated with organizational commitments. According to OR in the logistic regression model, healthcare workers with master’s and doctoral education levels had 3.482 times more social commitments than others and the health group had 2.455 times more social commitments compared to the treatment group. Conclusion The results of this study showed that at the time of the coronavirus outbreak, the healthcare workers in Babol had very positive and high organizational and social commitments. As the world struggles with the coronavirus pandemic, employee and organizational productivity may decline due to the fear and anxiety of healthcare workers in various organizations. It is expected that managers of health-related organizations, social, economic, and cultural organizations use the results of this study to identify factors affecting the organizational and social commitments of employees and strengthen them.

The impact of COVID‐19 pandemic on employees organizational commitment and job satisfaction in reference to gender differences

“…Job stress also observed having direct negative impact on commitment (Zandi et al, 2020). The results of this study showed that at the time of the coronavirus outbreak, the healthcare workers in Babol had very positive and high organizational and social commitments (Aghalari et al, 2021).…”

Association between sleep disturbance and mental health of healthcare workers: A systematic review and meta-analysis

“…Meanwhile, they play a key role in the control of every infectious and fatal disease. The screening, identification and treatment of clients are the responsibilities of HCWs, who are providing services for disease control 24 h a day (3). Therefore, sleep disturbances are health challenges in HCWs resulting from rotating or extended-duration shifts and other complicated work situations (4).…”

Primary care provider's job satisfaction and organizational commitment after COVID-19 restrictions ended: A mixed-method study using a mediation model

“…With regard to organizational commitment, we identified two possibly relevant studies, one from China before the pandemic and one from Iran during the pandemic. The Iranian study showed that at the time of the coronavirus outbreak, healthcare workers had very positive and high organizational commitments (Aghalari et al, 2021 ). However, the authors did not mention any COVID-19 restriction information in their study and the measure tool was different from ours; therefore, we could not compare two results quantitatively.…”