An integrated approach to evaluate the performance of psychiatric hospitals with the spotlight of ergonomics and job satisfaction

Zahra Hamdi; Fateme Ataei; Zahra Mohammadnazari; Fariborz Jolai

Makale detayları

An integrated approach to evaluate the performance of psychiatric hospitals with the spotlight of ergonomics and job satisfaction

Yazarlar:

Zahra Hamdi | Fateme Ataei | Zahra Mohammadnazari | Fariborz Jolai

Yayıncı:

Ankara Yildirim Beyazit University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Optimization and Decision Making Vol.4 Issue 2, pp.498-524

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001356907

pISSN:

2822-6410

Anahtar kelimeler:

Özet:

 This study examines the performance of psychiatric hospitals in response to Covid-19 pandemic. The fragility of mental health because of pandemic pressurized psychiatric hospitals more than ever. Data Envelopment Analysis DEA is applied as a method of performance measurement with the micro and macro ergonomics and job satisfaction indicators. In this manner, at first, we identified all the investigated sub-indices, then, after designing and distributing a standard questionnaire among the employees of psychiatric hospitals, we calculated the efficiency of the hospitals through the optimal DEA model. Accordingly, relying on the results of sensitivity analysis and statistical tests, we studied the impact of each indicator on the performance of hospitals and identified their strengths and weaknesses. Finally, we checked the validity of the optimal DEA model by comparing its results with the Multilayer Perception MLP network results that is most utilized type of artificial neural network ANN method.

 This study examines the performance of psychiatric hospitals in response to Covid-19 pandemic. The fragility of mental health because of pandemic pressurized psychiatric hospitals more than ever. Data Envelopment Analysis DEA is applied as a method of performance measurement with the micro and macro ergonomics and job satisfaction indicators. In this manner, at first, we identified all the investigated sub-indices, then, after designing and distributing a standard questionnaire among the employees of psychiatric hospitals, we calculated the efficiency of the hospitals through the optimal DEA model. Accordingly, relying on the results of sensitivity analysis and statistical tests, we studied the impact of each indicator on the performance of hospitals and identified their strengths and weaknesses. Finally, we checked the validity of the optimal DEA model by comparing its results with the Multilayer Perception MLP network results that is most utilized type of artificial neural network ANN method.

 This study examines the performance of psychiatric hospitals in response to Covid-19 pandemic. The fragility of mental health because of pandemic pressurized psychiatric hospitals more than ever. Data Envelopment Analysis DEA is applied as a method of performance measurement with the micro and macro ergonomics and job satisfaction indicators. In this manner, at first, we identified all the investigated sub-indices, then, after designing and distributing a standard questionnaire among the employees of psychiatric hospitals, we calculated the efficiency of the hospitals through the optimal DEA model. Accordingly, relying on the results of sensitivity analysis and statistical tests, we studied the impact of each indicator on the performance of hospitals and identified their strengths and weaknesses. Finally, we checked the validity of the optimal DEA model by comparing its results with the Multilayer Perception MLP network results that is most utilized type of artificial neural network ANN method.

 This study examines the performance of psychiatric hospitals in response to Covid-19 pandemic. The fragility of mental health because of pandemic pressurized psychiatric hospitals more than ever. Data Envelopment Analysis DEA is applied as a method of performance measurement with the micro and macro ergonomics and job satisfaction indicators. In this manner, at first, we identified all the investigated sub-indices, then, after designing and distributing a standard questionnaire among the employees of psychiatric hospitals, we calculated the efficiency of the hospitals through the optimal DEA model. Accordingly, relying on the results of sensitivity analysis and statistical tests, we studied the impact of each indicator on the performance of hospitals and identified their strengths and weaknesses. Finally, we checked the validity of the optimal DEA model by comparing its results with the Multilayer Perception MLP network results that is most utilized type of artificial neural network ANN method.

Makale detayları

An integrated approach to evaluate the performance of psychiatric hospitals with the spotlight of ergonomics and job satisfaction

Yazarlar:

Zahra Hamdi | Fateme Ataei | Zahra Mohammadnazari | Fariborz Jolai

Yayıncı:

Ankara Yildirim Beyazit University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Optimization and Decision Making Vol.4 Issue 2, pp.498-524

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001356907

pISSN:

2822-6410

Performance evaluation

Data envelopment analysis

Artificial neural network

psychiatric hospitals

Ergonomics

Job satisfaction

Sayı

Makale detayları

An integrated approach to evaluate the performance of psychiatric hospitals with the spotlight of ergonomics and job satisfaction

Yazarlar: Zahra Hamdi | Fateme Ataei | Zahra Mohammadnazari | Fariborz Jolai

Yayıncı: Ankara Yildirim Beyazit University

Ana Başlıklar: Industrial Engineering

Dergi: Journal of Optimization and Decision Making Vol.4 Issue 2, pp.498-524

Belge Tipi: Makale

Yayın Tarihi: 7/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001356907

pISSN: 2822-6410

Performance evaluation

Data envelopment analysis

Artificial neural network

psychiatric hospitals

Ergonomics

Job satisfaction

Sayı

Yazarlar:

Zahra Hamdi | Fateme Ataei | Zahra Mohammadnazari | Fariborz Jolai

Yayıncı:

Ankara Yildirim Beyazit University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Optimization and Decision Making Vol.4 Issue 2, pp.498-524

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001356907

pISSN:

2822-6410