ORIGINAL_ARTICLE
The Quality of Maternity Services in Mashhad Educational Hospitals, Using SERVUSE Model
Introduction: Reducing maternal and neonatal mortality requires improved care quality; the aim of this study was to determine various dimensions of the quality of services in maternity wards in Iran from the patient’s perspective.Methods: In this cross-sectional study which was conducted from April to October 2017, 363 patients were selected from maternity wards of five hospitals affiliated to Mashhad University of Medical Sciences by convenience sampling method. Data collection tools consisted of the SERVUSE (Service Usability questionnaire), including 51 items in 6 dimensions of services quality; its validity and reliability were determined in previous studies. Data analysis was performed using SPSS, version 20. The analysis was performed using descriptive and inferential statistical methods including Wilcoxon, Kruskal Wallis and Mann-Whitney tests. The significance level in all the tests was considered 5%.Results: The total mean scores of the patients’ expectation and perception were 19.10±2.14 and 15.11±4.25, respectively. The highest expectation and perception were related to the usability dimension, and the lowest expectation and perception were related to reliability dimension. The differences between the median score of perception and expectation for all dimensions and total median score of perceptions and expectations were statistically significant (P<0.05, using Wilcoxon test). There were no statistically significant differences in the median score of the gap between the patient’s expectations and perceptions at the levels of demographic variables (P>0.05, using Mann-Whitney and Kruskal Wallis tests).Conclusion: It seems that the service quality of maternity ward of hospitals was approximately unsatisfactory from the patients’ perspective, and they had high expectations in maternity wards of hospitals. Since maternity service quality is critically important, improvement of quality requires management, concordant participation, and efforts of the hospital and staff at all levels of the medical facilities and convenience.Keywords: Hospital, Maternity, SERVUSE model, Quality, Iran
https://jhmi.sums.ac.ir/article_42719_5a669dcbda8551203ff9f419cdf3b7d5.pdf
2018-10-01
119
124
Fariba
Askari
askarif941@mums.ac.ir
1
LEAD_AUTHOR
Nahid
Maleki-Saghooni
2
AUTHOR
Eisa
Nazar
nazari951@mums.ac.ir
3
AUTHOR
Zahra
Hadizadeh Talasaz
hadizadehz941@muma.ac.ir
4
AUTHOR
Ali
Vafaee Najar
malekisn931@mums.ac.ir
5
AUTHOR
Hogan MC, Foreman KJ, Naghavi M, Ahn SY, Wang M, Makela SM, et al. Maternal mortality for 181 countries, 1980â2008: a systematic analysis of progress towards Millennium Development Goal 5. The lancet. 2010;375(9726):1609-23. doi: 10.1016/s0140-6736(10)60518-1.
1
Khan KS, Wojdyla D, Say L, Gulmezoglu AM, Van Look PF. WHO analysis of causes of maternal death: a systematic review. Lancet. 2006;367(9516):1066-74. doi: 10.1016/S0140- 6736(06)68397-9.
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Bullough C, Meda N, Makowiecka K, Ronsmans C, Achadi EL, Hussein J. Current strategies for the reduction of maternal mortality.
3
BJOG. 2005;112(9):1180-8. doi: 10.1111/j.1471- 0528.2005.00718.x.
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Van Lerberghe W. The World Health Report 2005: Make every mother and child count; Geneva: World Health Organization; 2005.
5
Hekmatpou D, Sorani M, Farazi A, FALAHI Z, Lashgarara B. A survey on the quality of medical services in teaching hospitals of Arak University of Medical Sciences with SERVQUL model in Arak, 2010. Arak Medical University Journal (AMUJ). 2012;15(7);1-9.
6
van den Broek NR, Graham WJ. Quality of care for maternal and newborn health: the neglected agenda. BJOG. 2009;116 Suppl 1:18 21. doi: 10.1111/j.1471-0528.2009.02333.x.
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14
Ayoubian A, Dopeykar N, Mehdizadeh P, Hoseinpourfard M, Izadi M. Surveying the Quality of care services in a military health center according to the SERVQUAL model. Journal Mil Med. 2015;16(4):225-9.
15
Bahadori M, Raadabadi M, Heidari Jamebozorgi M, Salesi M, Ravangard R. Measuring the quality of provided services for patients with chronic kidney disease. Nephro-urology monthly. 2014;6(5):e21810. doi: 10.5812/numonthly.21810.
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Sina K, Babai Shibabandani M, Nadi Ghara A. Factors influencing the inpatientsâ satisfaction based on the Servqual model. Journal of
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Mazandaran University of Medical Sciences. 2015;24(121):299-308.
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19
Moradi-Lakeh M, Vosoogh-Moghaddam A. Health Sector Evolution Plan in Iran; Equity and Sustainability Concerns. International journal of health policy and management. 2015;4(10):637-40. doi:10.15171/ijhpm.2015.160.
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HOUSHMAND E, EBRAHIMIPOUR H, DOOSTI H, VAFAEI NA, MAHMOUDIAN P, HOSSEINI SE. Validity and reliability of the Persian version of quality assessment questionnaire (SERVUSE model). 2016.
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23
Abedi G, Rostami F, Ziaee M, Siamian H, Nadi A. Patientâs Perception and Expectations of the Quality of Outpatient Services of Imam Khomeini Hospital in Sari City. Materia socio-medica. 2015;27(4):272-5. doi: 10.5455/msm.2015.27.272-275.
24
PurcÄrea VL, Gheorghe IR, Petrescu CM. The assessment of perceived service quality of public health care services in Romania using the SERVQUAL scale. Procedia Economics and
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Finance. 2013;6:573-85. doi: 10.1016/s2212- 5671(13)00175-5.
26
Haghshenas E, Arab M, Rahimi A, Movahed E. Assessing the quality of services provided at outpatient clinics among hospitals affiliated to Tehran University of Medical Sciences based on SERVQUAL Model in 2015. Journal of Hospital. 2017;16(2):9-17.
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Ahuja M, Mahlawat S, Masood RZ. Study Of Service Quality Management With SERVQUAL Model: An Empirical Study Of Govt/Ngoâs
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Eye Hospitals In Haryana. Indian Journal of Commerce & Management Studiesâ ISSN. 2011;2229:5674.
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Zarei A, Arab M, Froushani AR, Rashidian A, Ghazi Tabatabaei SM. Service quality of private hospitals: the Iranian patientsâ perspective. BMC Health Serv Res. 2012;12:31. doi: 10.1186/1472-
31
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32
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33
PurcÄrea VL, Gheorghe IR, Petrescu CM. The assessment of perceived service quality of public health care services in Romania using the SERVQUAL scale. Procedia Economics and Finance. 2013;6:573-85.
34
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Jabnoun N, Chaker M. Comparing the quality of private and public hospitals. Managing Service Quality: An International Journal. 2003;13(4):290- 9. doi: 10.1108/09604520310484707.
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41
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42
ORIGINAL_ARTICLE
Factors Affecting Resistance to Change among Hospital Staff using a Structural Equation Modeling Technique
Introduction: Hospitals are complex organizations faced with continuous fundamental changes complicated by expertise diversity. The aim of this study was to investigate the factors influencing hospital employees’ resistance to change.Methods: This cross-sectional study included 510 employees working in hospitals affiliated to Shiraz University of Medical Sciences; they were selected using stratified random sampling. Data were collected through a questionnaire. A structural equation modeling technique using LISREL Version 8.8 tested the hypotheses and conceptual model. Results: Results indicated that dispositional resistance to change and involvement with change directly affected the employees’ resistance to change. Perceived benefits of change to involvement in change were significant (T-values >1.96) and the hypotheses related to these paths were accepted. Perceived benefits of change indirectly affected the employees’ resistance to change by influencing involvement. Dispositional resistance to change and involvement in change (mediator variables) were estimated 0.89, 0.03, and 0.47, respectively. Conclusion: The study results indicated that hospital managers should encourage the employees to actively participate in their change program by strengthening perception of the benefits. This could help reduce the employees’ resistance. Keywords: Change, Resistance, Benefits, Involvement, Hospitals, Employees, Management
https://jhmi.sums.ac.ir/article_42720_aca18bfbce95db198bf0ee61d4ac5ddd.pdf
2018-10-01
125
136
Zahra
Ghanavatinejad
1
LEAD_AUTHOR
Mehrdad
Askarian
askariam@sums.ac.ir
2
AUTHOR
Charles John
Palenik
3
AUTHOR
Nahid
Hatam
hatamn@sums.ac.ir
4
AUTHOR
Payam
Farhadi
payamfarhadi88@gmail.com
5
AUTHOR
Haleh
Ghaem
6
AUTHOR
Reger RK, Mullane JV, Gustafson LT, DeMarie SM. Creating earthquakes to change organizational mindsets. Acad Manag Perspect1994;8(4):31-43. doi: 10.5465/ame.1994.9412071701.
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Bovey WH, Hede A. Resistance to organisational change: the role of defence mechanisms. Journal of Managerial Psychology. 2001;16(7):534-48. doi: 10.1108/eum0000000006166.
2
Bovey WH, Hede A. Resistance to organizational change: the role of cognitive and affective processes. Leadership & Organization Development Journal. 2001;22(8):372-82. doi: 10.1108/01437730110410099.
3
New JR, Singer DD. Understanding why people reject new ideas helps IEs convert resistance into acceptance. Ind Eng. 1983;15(5):50.
4
Huston LA. Using total quality to put strategic intent into motion. Planning Review. 1992;20(5):21-3. doi: 10.1108/eb054373.
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Giangreco A. Conceptualisation and operationalisation of resistance to change. Libero Istituto Universitario Carlo Cattaneo. 2002.
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Oreg S. Resistance to change: developing an individual differences measure. J Appl Psychol. 2003;88(4):680-93. doi: 10.1037/0021- 9010.88.4.680.
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Giangreco A, Peccei R. The nature and antecedents of middle manager resistance to change: Evidence from an Italian context. The International Journal of Human Resource Management. 2005;16(10):1812-29. doi:10.1080/09585190500298404.
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Ford JD, Ford LW, DâAmelio A. Resistance to change: The rest of the story. Acad Manage Rev. 2008;33(2):362-77. doi: 10.5465/ amr.2008.31193235.
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Fedor DB, Caldwell S, Herold DM. The effects of organizational changes on employee commitment: A multilevel investigation. Pers Psychol. 2006;59(1):1-29. doi: 10.1111/j.1744-
10
2006.00852.x.
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Eby LT, Adams DM, Russell JE, Gaby SH. Perceptions of organizational readiness for change: Factors related to employeesâ reactions to the implementation of team-based selling. Human relations. 2000;53(3):419-42. doi: 10.1177/0018726700533006.
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Weber PS, Weber JE. Changes in employee perceptions during organizational change. Leadership & Organization Development Journal. 2001;22(6):291-300. doi: 10.1108/01437730110403222.
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OâBrien G. Participation as the key to successful changeâa public sector case study. Leadership & Organization Development Journal. 2002;23(8):442-55. doi: 10.1108/01437730210449339.
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Latham GP, Winters DC, Locke EA. Cognitive and motivational effects of participation: A mediator study. J Organ Behav. 1994;15(1):49-63. doi: 10.1002/job.4030150106.
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Michel A, Todnem By R, Burnes B. The limitations of dispositional resistance in relation to organizational change. Management Decision. 2013;51(4):761-80. doi: 10.1108/00251741311326554.
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Spector PE, Zapf D, Chen PY, Frese M. Why negative affectivity should not be controlled in job stress research: Donât throw out the baby with the bath water. Journal of Organizational Behavior. 2000;21(1):79-95. doi: 10.1002/(sici)1099- 1379(200002)21:13.0.co;2-g.
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Coyle-Shapiro JA-M. Employee participation and assessment of an organizational change intervention: A three-wave study of total quality management. The Journal of Applied Behavioral Science. 1999;35(4):439-56. doi: 10.1177/0021886399354006.
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Oreg S, Bayazit M, Vakola M, Arciniega L, Armenakis A, Barkauskiene R, et al. Dispositional resistance to change: measurement equivalence and the link to personal values across 17 nations. J Appl Psychol. 2008;93(4):935-44. doi: 10.1037/0021-9010.93.4.935.
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Wren PA, Janz NK, Brubaker L, Fitzgerald MP, Weber AM, LaPorte FB, et al. Reliability of health-related quality-of-life measures 1
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Koley M, Saha S, Singh Arya J, Choubey G, Ghosh A, Deb Das K, et al. Patient evaluation of service quality in government homeopathic hospitals in W est B engal, I ndia: a crossâsectional survey. Focus on alternative and complementary therapies. 2015;20(1):23-31. doi: 10.1111/fct.12159.
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Judge TA, Thoresen CJ, Pucik V, Welbourne TM. Managerial coping with organizational change: A dispositional perspective. J Appl Psychol.
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Messer CO. Resistance to change in the community college: The influence of participation, open communication, perceived organizational support, and organizational commitment 2006.
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53
ORIGINAL_ARTICLE
Development of a Discrete Event Simulation Model to Minimize the Waiting Time of Patients in Hospitals
Introduction: Proper management of health systems requires the use of a suitable decision making logic. Simulation is a good tool for accurate and evidence-based decision making. The main objective of this study was to developing a simulation model to minimize the waiting time of patients in the cardiac subspecality clinic of Kowsar Hospital.Methods: This is a cross-sectional study. The statistical population consisted of 576 patients, referring to Kowsar cardiac clinic in the morning and afternoon shifts. Data collection was conducted according to a designed timetable form. Scenarios were defined to receive the best answer. These scenarios were as follows: scenario A: decrease of the average of the service time; scenario B: increase of the mean time between the two entries; and scenario C: decrease of the service time and increase of the time between two entries. ARENA software was used to simulate and review the scenarios and General Algebraic Modeling System (GAMS) softwarewas used to obtain a definite answer.Results: Simulation results showed that in scenario A the mean time spent in the system was 85.55 minutes in the morning and 77.05 minutes in the evening shifts. In scenario B, the average time spent in the system was 65.95 minutes in the morning and 79.63 in the evening shifts. In scenario C, the mean time spent in the system was 73.90 minutes in the morning and 61.17 minutes in the evening shifts. The result of the final model showed that the average time spent in the system was 97.33 min in the morning and 86.85 min in the evening.Conclusion: According to the results obtained from the use of the definitive and simulated models, it was found that the simulation model, due to its probability, faces a percentage of error. Comparison of the definitive and simulated models revealed that the best scenario to the definitive answer was scenario B (increasing the mean time between the two logs).Keywords: Clinic, Waiting time, Queuing theory, Simulation
https://jhmi.sums.ac.ir/article_42721_8cafd7de172d8cf6ad5ce62b0e850fb5.pdf
2018-10-01
137
144
Gholam Reza
Jamali
gh_jamali@yahoo.com
1
LEAD_AUTHOR
Payam
Farhadi
payamfarhadi88@gmail.com
2
AUTHOR
Elham
Behbudi
behboodi.elham@yahoo.com
3
AUTHOR
Masoumpour S, Rahimi S, Kharazmi E, Kavousi Z, MOSALAH NH, Abedi Z. Assessing waiting time in emergency department of Shahid Faghihi hospital, Shiraz and presenting appropriate strategies using quality function deployment (QFD) method, 2011-2012. Hakim Research Journal. 2013;16(2):159-68.
1
McDougall GH, Levesque T. Customer satisfaction with services: putting perceived value into the equation. Journal of services marketing. 2000;14(5):392-410. doi: 10.1108/08876040010340937 .
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Zare Mehrjardi Y, Hoboubati M, Safaee Nik F. Improvement of waiting time for patients referring to emergency room using discrete event simulation. SSU_Journals. 2011;19(3):302-12.
3
Ibrahim IM, Liong C-Y, Bakar SA, Ahmad N, Najmuddin AF, editors. A proposed simulation optimization model framework for emergency
4
department problems in public hospital. AIP Conference Proceedings; 2015: AIP Publishing. p. 1-9. doi: 10.1063/1.4937030.
5
Jun J, Jacobson SH, Swisher JR. Applicationcreteevent simulation in health care clinics: A survey. J Oper Res Soc. 1999;50(2):109-23. doi:
6
2307/3010560 .
7
Weng S-J, Cheng B-C, Kwong ST, Wang L-M, Chang C-Y, editors. Simulation optimization for emergency department resources allocation. Proceedings of the Winter Simulation Conference; 2011: Winter Simulation Conference.
8
Babashov V, Aivas I, Begen M, Cao J, Rodrigues G, DâSouza D, et al. Reducing Patient Waiting Times for Radiation Therapy and Improving the Treatment Planning Process: a Discreteevent Simulation Model (Radiation Treatment Planning). Clin Oncol. 2017;29(6):385-91. doi:
9
1016/j.clon.2017.01.039 .
10
Ibrahim IM, Liong C-Y, Bakar SA, Ahmad N, Najmuddin AF, editors. Minimizing patient waiting time in emergency department of public hospital using simulation optimization approach. AIP Conference Proceedings; 2017: AIP Publishing.
11
Almomani I, AlSarheed A. Enhancing outpatient clinics management software by reducing patientsâ waiting time. Journal of infection and
12
public health. 2016;9(6):734-43. doi: 10.1016/j. jiph.2016.09.005.
13
Riff M-C, Cares JP, Neveu B. RASON: A new approach to the scheduling radiotherapy problem that considers the current waiting times. Expert Systems with Applications. 2016;64:287-95. doi: 10.1016/j.eswa.2016.07.045 .
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Kozlowski D, Worthington D. Use of queue modelling in the analysis of elective patient treatment governed by a maximum waiting time policy. European Journal of Operational Research. 2015;244(1):331-8. doi: 10.1016/j.ejor.2015.01.024 .
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MORADI H, RAZAVI M. The simulation model for paraclinical services in Hafez hospital in Shiraz, Iran, and evaluation of scenarios to reduce waiting time. 2016;13(1):8-11.
16
Bahadori M, Mohammadnejhad SM, Ravangard R, Teymourzadeh E. Using queuing theory and simulation model to optimize hospital
17
pharmacy performance. Iranian Red Crescent medical journal. 2014;16(3):e16807. doi: 10.5812/ ircmj.16807.
18
McVay BC. Waiting time analysis of patient flow in an outpatient OB/GYN clinic-A simulation approach: University of Central Arkansas; 2014.
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Hu X. Optimization analysis of patient waiting time and resource utilization in an OB/GYN clinic-A simulation approach: University of
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Central Arkansas; 2013.
21
Pianykh OS, Rosenthal DI. Can We Predict Patient Wait Time? Journal of the American College of Radiology : JACR. 2015;12(10):1058-66. doi: 10.1016/j.jacr.2015.04.010.
22
Lade IP, Sakhare V, Shelke M, Sawaitul P. Reduction of Waiting Time by Using Simulation & Queuing Analysi. International Journal on
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Recent and Innovation Trends in Computing and Communication. 2015;3(2):55-9.
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Vass H, Szabo ZK. Application of queuing model to patient flow in emergency department. Case study. Procedia Economics and Finance. 2015;32:479-87. doi: 10.1016/s2212-5671(15)01421-5.
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Duguay C, Chetouane F. Modeling and improving emergency department systems using discrete event simulation. Simulation. 2007;83(4):311-20. doi: 10.1177/0037549707083111.
26
Salimifard K, Hosseinee S, Moradi M. Improving emergency department processes using computer simulation. Journal of Health Administration (JHA). 2014;17(55).
27
ORIGINAL_ARTICLE
The Factors Related to the Employees’ Job Stress: A Meta- Analysis
Introduction: Identification of the factors related to the employee’s job stress is very important in any organization, so in this study we investigated these factors by meta-analysis.Methods: In this study, we searched the terms “job-related stress”, “employees’ job stress”and found 637 articles among seven English and five Farsi databases. After reviewing andscreening these articles, sixty-three articles were finally selected. The selection criteria werebased on the surveys which had investigated the correlation between job-related stress andother variables; also, just the variables that were investigated in more than four studies were included in this meta-analysis. The meta-analysis was calculated based on the correlation coefficients integrated with job-related stress and sample size by Stata 11 software, using Rosenthal-Robin method.Results: The meta-analysis results suggested that seven variables had a significant relationship with the employees’ job-related stress (P<0.001). By increasing the workload, role conflict, role ambiguity, work-family conflicts, and total working hours per week increased the employees’ job stress, and conversely increased job satisfaction decreased the employees’ job stress; also, women were more exposed to job stress.Conclusion: Organizations should pay more attention to time management training; thestaff benefits from these skills and can use them in their business affairs and organize largevolumes of work and work-family conflicts in order to reduce the impact of these stressorsto a large extent. Also, description of the tasks that the employee is only obliged to carry out should be established.Keywords: Occupational stress, Job stress, Organization, Meta-analysis
https://jhmi.sums.ac.ir/article_42722_7ee173bede87b87fec58727178d71b36.pdf
2018-10-01
145
151
Zahra
Kavosi
zhr.kavosi@gmail.com
1
LEAD_AUTHOR
Habibollah
Ranaei Kordshouli
2
AUTHOR
Maryam
Zare Saadabadi
3
AUTHOR
Azime
Ghorbanian
azimehghorbanian@gmail.com
4
AUTHOR
Hoboubi N, Choobineh A, Kamari Ghanavati F, Keshavarzi S, Akbar Hosseini A. The Impact of Job Stress and Job Satisfaction on Workforce Productivity in an Iranian Petrochemical Industry. Safety and health at work. 2017;8(1):67-71.
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Greiner A. An economic model of workrelated stress. Journal of Economic Behavior & Organization. 2008;66(2):335-46.
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Lovelace KJ, Manz CC, Alves JC. Work stress and leadership development: The role of selfleadership, shared leadership, physical fitness and flow in managing demands and increasing job control. Human Resource Management Review. 2007;17(4):374-87.
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Beehr TA, Glaser KM, Canali KG, Wallwey DA. Back to basics: Re-examination of demandcontrol theory of occupational stress. Work & Stress. 2001;15(2):115-30.
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Wells JB, Minor KI, Angel E, Matz AK, Amato N. Predictors of job stress among staff in juvenile correctional facilities. Criminal Justice and Behavior. 2009;36(3):245-58.
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Fairbrother K, Warn J. Workplace dimensions, stress and job satisfaction. Journal of managerial psychology. 2003;18(1):8-21.
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Golparvar M, Arizi H. Meta-analysis of the relationship between organizational commitment and job alternatives, the desire to stay and feel free to leave. 2088;33:85-100.
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Gholamnejad H, Nikpeima N. Causes of occupational stress innurses. Journal of Iran Occupational Health. 2009;1:22-7.
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Jamal M. Job stress, job performance and organizational commitment in a multinational company: An empirical study in two countries. International Journal of Business and Social Science. 2011;2(20).
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Burke RJ, Tourigny L, Baba VV, Wang X. Stress episode in aviation: the case of China. Cross Cultural Management: An International Journal. 2010;17(1):62-78.
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Gaither CA, Kahaleh AA, Doucette WR, Mott DA, Pederson CA, Schommer JC. A modified model of pharmacistsâ job stress: The role of
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Hsieh A-T, Yen C-H. The effect of customer participation on service providersâ job stress. The Service Industries Journal. 2005;25(7):891-905.
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MortaghyGhasemy M, Ghahremani Z, Vahediane Azimi A, Ghorbani F. Nurses Job Stress in Therapeutic Educational Centers in Zanjan. Journal of Nursing and Midwifery, Gorgan. 2011 [In Persian];8(1):42-51.
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Jazani N, Habibi M, Nasr S. Analysis of factors affecting job stress and its management solutions (Case Study: Region 3 gas transmission
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operation). Management and human resources in the oil industry 2010 [In Persian];4(11):127-48.
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Gholam Nejad H, Nikpeima N. The causes of stress among nurses. Iran occupational health journal. 2009 [In Persian];6(1):22-7.
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Khaghanizadeh M., Ebadi A., Cirati nair M.,
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Rahmani M. The study of relationship between job stress and quality of work life of nurses in military hospitals. Journal of Military Medicine.
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Mohr AT, Puck JF. Role conflict, general manager job satisfaction and stress and the performance of IJVs. European Management Journal. 2007;25(1):25-35.
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Tewksbury R, Higgins GE. Prison staff and work stress: The role of organizational and emotional influences. American Journal of criminal justice. 2006;30(2):247-66.
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Kashefi M. Job satisfaction and/or job stress the psychological consequences of working inâhigh performance work organizationsâ. Current Sociology. 2009;57(6):809-28.
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Cheeseman KA, Downey RA. Talking âBout My Generationâ The Effect of âGenerationâ on Correctional Employee Perceptions of Work
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Stress and Job Satisfaction. The Prison Journal. 2012;92(1):24-44.
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Owen SS. Occupational stress among correctional supervisors. The Prison Journal. 2006;86(2):164-81.
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Azad-Marzabadi E., Salimi S. H. Study on Job Stress in a Military Unit. Journal of Military Medicine. 2005;6(4):279-84.
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Ansari MI, Mir Ahmad MR, Zabihzadeh K. The relationship between job stress, job satisfaction, organizational commitment and organizational citizenship behavior. Journal of management and human resources in the oil industry,. 2010 [In Persian];4(13):153-66.
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Najarpur Ostadi S, Aghdami B, Khedive A.
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Examine the relationship between perceived social inequality, social work, low job stress and job satisfaction among staff at the University. Journal of Management Sciences. 2008 [In Persian];2(6):57-78.
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Razmi S, Nemati sogolitapeh F. The Moderating Role of Self- Efficacy in Relationship between Occupational Stress with Psychological Health and Job Satisfaction of Saderat Bankâs Staffs of Tabriz. Iran Occupational Health Journal. 2011;8(2):17-0.
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Gholam Ali Lavasani M, Keyvanzadh M, Arjmand N. Spirituality, job stress, organizational commitment, and job satisfaction among nurses
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ORIGINAL_ARTICLE
The Prevalence of Ta’zir Medical Offences before and after the Implementation of Healthcare Reform Program (2013-2016): The Case of Shiraz University of Medical Sciences
Introduction: There are different problem-solving courts for prosecuting medical offencesdue to the broadness of healthcare sector as well as the variety of offences in this sector. One of these courts in Iran is the Commission of Ta’zir Offences which prosecutes specific offences in this domain. Due to the implementation of National HealthCare Reform Program since the second half of May 2013, this study was carried out to compare the prevalence of Ta’zir medical offences in Shiraz University of Medical Sciences before and after the implementation of this program.Methods: This was an applied, cross-sectional study. The sample size of the study includedall cases related to medical offences argued in the cases of Commission number 11 in theDepartment of Governmental Discretionary Punishment of Shiraz University of MedicalSciences during two periods: before(15/2/2012 -15/2/2013) and after the implementation ofHealthcare Reform Program (15/2/2015-15/2/2016). A designed form was used to collectdata in which the medical cases available in the Department of Governmental DiscretionaryPunishment were recorded. Data were analyzed, using descriptive and inferential statisticsincluding Paired-Samples T-Test. SPSS version 16 was used to analyze the data and thesignificance level was considered 0.05.Results: The results showed that the total number of Ta’zir medical offences was 169 beforethe Healthcare Reform Program and increased to 431 cases after the Healthcare ReformProgram. Employment of medical and paramedical professionals who had no legal workpermit before the implementation of Healthcare Reform Program was significantly (P<0.05(different from that after its implementation ) Mean:2.5- Std-Deviation: 3.28-P=0.02 (and also additional patient fees (Mean: 0.91- Std-Deviation: 19.56-P=0.02).Conclusion: It is recommended that the Iranian Ministry of Health and Medical Educationshould increase monitoring the physicians’ performance after the implementation ofHealthcare Reform Program to prevent the violations of patients’ rights.Keywords: Violation of laws, Punishment, Healthcare reforms, Treatment, Iran
https://jhmi.sums.ac.ir/article_42723_ca778cceb6ba8e7c4ceab816a9d40581.pdf
2018-10-01
152
156
Babak
Behzadi
behzadibabak@sums.ac.ir
1
5th Floor, Central Building, Shiraz University of Medical Sciences, Zand Avenue, Shiraz ,Iran
LEAD_AUTHOR
Abdul Khaleq
Keshavarzai
iliakeshavarzi@yahoo.com
2
AUTHOR
Mohammad
Hossein Pour
mhosseinpour@sums.ac.ir
3
AUTHOR
Behzadi B, Ravanshadnia M. Collection of laws, regulations, regulations and guidelines for the treatment of the Ministry of Health and Medical Education in Iran. Shiraz: Saray Ahle Ghalam Publications; 2013.
1
Amozegar M. Prosecutor and Prosecutor of Guilty Physician. Tehran: Majd; 2006.
2
Ziaee M, Saberi Olya T, Norouzi Roshanavand F, Sadeghpour Z. A Descriptive Study of Commission Records of Article 11 in the Sanctions Unit of the Department of Mashhad University of Medical Sciences during 2007 to 2015. Iranian of Mashhad Medical Council. 2016;7(20):51-3. Persian.
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Badakhsh H. Malpractic claim of gynecologyists received by medical council. Kashan University of Medical Sciences. 2006;4(7):76-81.
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Noras M. How to deal with the medical professional malpractice and infringments in Iran. Bojnord; National conference on- quality promotion; clinical gverance approach; 2013.
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Wikipedia. Definition of Taâzir Iran. c2018. Available from: https://fa.wikipedia.org/wiki
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Ziaei M, Saberi A, Nowroozi M, Rostanavand F, Sadeghpour A. Descriptive study of the Commissionâs records of Article 11 in the Unit of Treatment of Mashhad University of Medical Sciences in Mashhad. Mashhad University of Medical Sciences. 2017;2(2):15-25.
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