Quality of Work Life and Mental Health in Primary Care Physicians

González-Baltazar, Raquel; Hidalgo-Santacruz, Gustavo; León-Cortés, Silvia G.; Contreras-Estrada, Mónica Isabel; Aldrete-Rodríguez, María Guadalupe; Hidalgo-González, Brenda J.; Barrera-Vega, Jorge A.

doi:10.1016/j.promfg.2015.07.634

Cited by 11 publications

(7 citation statements)

References 3 publications

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“…In the studies of Arab et al (2012) [32] and Shabani Nejad et al (2012) [33], the QWL expressed by the physicians of hospitals affiliated to Tehran University of Medical Sciences and the family physicians of Mazandaran province was also moderate, which is consistent with the present study. However, in the study by Gonzales Baltazar et al (2015), the QWL of primary care physicians in Mexico was at a high level [34]. The reason for the differences in the results of Baltazar et al with the results of other studies might be due to the differences in working, cultural and social conditions in the studied populations.…”

Section: Factors Pearson Correlation Coefficient P-valuementioning

confidence: 84%

Factors Affecting the Family Physicians' Intention to Leave the Job: A Case of Iran

Rezaee¹,

Shoaahaghighi²,

Bordbar³

et al. 2019

TOPHJ

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Background: Family physician program is a complete health-care system, and its human resources are the most important resources like any other healthcare program. Organizational Commitment (OC) and Quality of Work-Life (QWL) are important factors in attracting and retaining employees. Objective: To investigate the association of OC and QWL with the intention to leave the job by family physicians in Shiraz, Iran in 2017. Methods: This was a descriptive analytical study conducted on a sample of 268 family physicians in 2017. For data collection, Porter's organizational commitment, Walton's Quality of Work Life, and Cammann's intention to leave the job questionnaires were used. The collected data were analyzed using SPSS 23.0. Results: The results showed that the levels of OC, QWL, and the intention to leave the job were moderate among the studied family physicians. In addition, the results showed that QWL and OC had negative and significant associations with the intention to leave the job (p-value<0.001), and the QWL had a greater association (Beta=-0.348). Conclusion: It is suggested that more attention should be paid to the family physicians at the Ministry of Health and the provincial level to improve the QWL and OC of the family physicians, and thereby preventing the physicians from leaving their job from the family physician program.

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Section: Factors Pearson Correlation Coefficient P-valuementioning

confidence: 84%

Factors Affecting the Family Physicians' Intention to Leave the Job: A Case of Iran

Rezaee¹,

Shoaahaghighi²,

Bordbar³

et al. 2019

TOPHJ

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show abstract

“…In university hospitals, some factors such as low occupational security, managers’ negative attitudes to employees and disregard of the principle of competency and specialty are at work in low quality of working life among the staff. Low quality of working life can increase the risk of mental diseases ( 20 ). Mensah and Lebbaeus ( 10 ) confirmed the significant relationship of the quality of working life and self-efficacy.…”

Section: Discussionmentioning

confidence: 99%

Relationship of Employees' Achievement Motivation and Quality of Working Life with Their Self-efficacy at Selected Hospitals with a Multi-group Analysis: Moderating Role of Organizational Ownership

Mahmoudi

Rostami²,

Mahmoudjanloo

et al. 2017

Mater Sociomed

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Introduction:Motivational deficiencies and the low quality of working life significantly reduce employees’ work performance and consequently their efficacy (effectiveness and proper performance in doing a task or specific tasks).Aim:The aim of this study was to determine the relationship between achievement motivation and quality of working life with self-efficacy among staff working in Mazandaran hospitals, by taking organizational ownership as a mediator variable.Materials and Methods:This study was an applied descriptive-correlation. Research population consisted of all staff working in selected hospitals of Mazandaran Province, Iran. 341 employees were selected with randomly-stratified sampling as the statistical sample. Three valid questionnaires were used for data collection. Data were analysis based on structured equations and path analysis with SPSS19 and AMOS.Results:In private hospitals, there was a significant relationship between the quality of working life and self-efficacy (p<0.001). In relationship between achievement motivation and self-efficacy, there was no significant differences between university hospitals and social security hospitals, but relationship between the quality of working life and self-efficacy was significant (p <0. 05). Considering achievement motivation and self-efficacy in private hospitals and university hospitals, a significant differences was observed (p<0. 05).Conclusion:The hospital ownership has a moderating in relationship of achievement motivation and quality of working life with self-efficacy. Staff’s empowerment courses for university hospitals and improvement in the overall space of job, increase in job security, reducing salary differences is suggested for private hospitals.

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“…For example, investigations were conducted on the relationship between QWL and job satisfaction [13] and the relationship between QWL and the organizational commitment among the lecturers in a Malaysian public research university [14]. One can also refer to the reports on QWL in child protection in two work environments [15], QWL amongst the workers of state-owned commercial banks in a Bangladesh northern region [16], QWL and the mental health of primary care physicians [17], QWL with an emphasis on human resource interventions in health units [18], QWL and the related factors for migrating workers in Guangdong Province, China [19], the effect of income and the relationship between leadership style and QWL [20] as well as QWL and burnout among nurses in critical care sections [21], quality of work life and contribution to productivity: assessing the moderator effects of burnout syndrome [22], quality of work life among young medical doctors [23], the effect of quality of work life (QWL) on job satisfaction and organization citizenship behavior [24], and determinants of quality of work life among nurses working [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a Method to Measure the Quality of Working Life Using the Improved Metaheuristic Grasshopper Optimization Algorithm

Doudaran

Ghousi

Makui

et al. 2021

Mathematical Problems in Engineering

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This paper provides a method to numerically measure the quality of working life based on the reduction of human resource risks. It is conducted through the improved metaheuristic grasshopper optimization algorithm in two phases. First, a go-to study is carried out to identify the relationship between quality of working life and human resource risks in the capital market and to obtain the factors from quality of working life which reduce the risks. Then, a method is presented for the numerical measurement of these factors using a fuzzy inference system based on an adaptive neural network and a new hybrid method called the improved grasshopper optimization algorithm. This algorithm consists of the grasshopper optimization algorithm and the bees algorithm. It is found that the newly proposed method performs better and provides more accurate results than the conventional one.

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Quality of Work Life and Mental Health in Primary Care Physicians

Cited by 11 publications

References 3 publications

Factors Affecting the Family Physicians' Intention to Leave the Job: A Case of Iran

Factors Affecting the Family Physicians' Intention to Leave the Job: A Case of Iran

Relationship of Employees' Achievement Motivation and Quality of Working Life with Their Self-efficacy at Selected Hospitals with a Multi-group Analysis: Moderating Role of Organizational Ownership

Development of a Method to Measure the Quality of Working Life Using the Improved Metaheuristic Grasshopper Optimization Algorithm

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