Volume 6, Issue 2 (6-2018)
Jorjani Biomed J 2018, 6(2): 60-76 |
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Abbasi A, Nasiri Pour A A, Tabibi S J, Raeisi P. Developing a Hospital Bed Distribution Model in Iran. Jorjani Biomed J 2018; 6 (2) :60-76
URL: http://goums.ac.ir/jorjanijournal/article-1-613-en.html
URL: http://goums.ac.ir/jorjanijournal/article-1-613-en.html
1- Faculty of Medical Sciences, Islamic Azad University, Tehran Science and Research Branch, Tehran, Iran
2- Department of Medical and Health Services Management, Faculty of Medical Sciences, Islamic Azad University, Tehran Science and Research Branch, Tehran, Iran , nasiripour@srbiau.ac.ir
3- Department of Medical and Health Services Management, Faculty of Medical Sciences, Islamic Azad University, Tehran Science and Research Branch, Tehran, Iran
4- Department of Medical and Health Services Management, Faculty of Management and Medical Information, Iran University of Medical Sciences, Tehran, Iran
2- Department of Medical and Health Services Management, Faculty of Medical Sciences, Islamic Azad University, Tehran Science and Research Branch, Tehran, Iran , nasiripour@srbiau.ac.ir
3- Department of Medical and Health Services Management, Faculty of Medical Sciences, Islamic Azad University, Tehran Science and Research Branch, Tehran, Iran
4- Department of Medical and Health Services Management, Faculty of Management and Medical Information, Iran University of Medical Sciences, Tehran, Iran
Abstract: (8440 Views)
Background and objectives: The development and distribution of hospital beds, regardless of effective factors, may downgrade equity in access to health services through imposing costs of inefficiency. This study aimed to develop a hospital bed distribution model in Iran in order to facilitate the optimal and cost-effective development and distribution of hospital beds.
Methods: This descriptive-analytical study with mixed-methods analysis was carried out during 2015-2016. The research population encompassed 345 managers and experts in the field of health, who were selected using multistage quota sampling method from five regions of Iran (north, south, center, west and east). A total pool of 23 experts were selected from each university, and a researcher-made questionnaire was used to collect data. Content Validity Ratio (CVR) was used to evaluate the questionnaire content and face validity. Cronbach's alpha coefficient and exploratory factor analysis with Varimax rotation were run as well to determine the questionnaire reliability and item consistency, respectively. For this purpose, AMOS version 20 and SPSS version 20 software were employed. To determine the fit of the model, the fit indices were also considered.
Results: Out of 51 effective factors included in the questionnaire in accordance with content validity, 23 items were confirmed by the experts. Exploratory factor analysis detected five organizational (seven components), economic (four components), social (six components), political (three components) and geographic (three components) factors as the main dimensions of hospital bed distribution, which could explain 70.745% of variance for all variables. The organizational and geographical dimensions had the highest (1.00) and lowest (0.16) influence on the hospital bed distribution. After running confirmatory factor analysis, two components of social and economic attributes with factor load of 0.46 in social dimension and efficiency and effectiveness of existing centers with factor load of 0.31 in the economic dimension were excluded from the model.
Conclusion: This study confirmed the hospital bed distribution model with five organizational, social, economic, political, and geographical dimensions, in which the organizational dimension with high explanatory power had the greatest impact on the hospital bed distribution. Therefore, this model seems efficient to be used as a comprehensive and appropriate method in making policies and decisions about the development and distribution of hospital beds.
Methods: This descriptive-analytical study with mixed-methods analysis was carried out during 2015-2016. The research population encompassed 345 managers and experts in the field of health, who were selected using multistage quota sampling method from five regions of Iran (north, south, center, west and east). A total pool of 23 experts were selected from each university, and a researcher-made questionnaire was used to collect data. Content Validity Ratio (CVR) was used to evaluate the questionnaire content and face validity. Cronbach's alpha coefficient and exploratory factor analysis with Varimax rotation were run as well to determine the questionnaire reliability and item consistency, respectively. For this purpose, AMOS version 20 and SPSS version 20 software were employed. To determine the fit of the model, the fit indices were also considered.
Results: Out of 51 effective factors included in the questionnaire in accordance with content validity, 23 items were confirmed by the experts. Exploratory factor analysis detected five organizational (seven components), economic (four components), social (six components), political (three components) and geographic (three components) factors as the main dimensions of hospital bed distribution, which could explain 70.745% of variance for all variables. The organizational and geographical dimensions had the highest (1.00) and lowest (0.16) influence on the hospital bed distribution. After running confirmatory factor analysis, two components of social and economic attributes with factor load of 0.46 in social dimension and efficiency and effectiveness of existing centers with factor load of 0.31 in the economic dimension were excluded from the model.
Conclusion: This study confirmed the hospital bed distribution model with five organizational, social, economic, political, and geographical dimensions, in which the organizational dimension with high explanatory power had the greatest impact on the hospital bed distribution. Therefore, this model seems efficient to be used as a comprehensive and appropriate method in making policies and decisions about the development and distribution of hospital beds.
Type of Article: Original article |
Subject:
Health
Received: 2017/08/11 | Accepted: 2018/08/19 | Published: 2018/12/10
Received: 2017/08/11 | Accepted: 2018/08/19 | Published: 2018/12/10
References
1. Sharifzadegan1 MH, Mamdohi MR, Lavi m. A P- median-model-based Analysis of Spatial Inequality in Accessibility to Public Health Care Intended for Urban Health Development in Isfahan City. Social Welfare. 2010; 10(37):265-85.
2. Khayatan M NA, Amini M, Mohammadnezhad SM. Factors affecting people access to services from employees viewpoints in selected health care centers in Rey city. Payavard-Salamat. 2010; 4(3):18-27.
3. Ramandi SD, Niakan L, Aboutorabi M, Noghabi JJ, Khammarnia M, Sadeghi A. Trend of Inequality in the Distribution of Health Care Resources in Iran. Galen Medical Journal. 2016; 5(3):122-30.
4. Amerioon A, Mesgarpour Amiri M, Anabad A. Rate of inequality in kidney transplantation services access in Iran. Journal of Critical Care Nursing. 2010; 3(3):15-6.
5. Petrie D, Tang KK. A rethink on measuring health inequalities using the Gini coefficient. 2008.
6. Tofighi S, Meskarpour Amiri M, Ameriuon A, naseri H. Equity in distribution of intensive care beds in Iran with Gini coefficient and Lorenz curve approach. yafte. 2011; 12 (2)
7. Nosrati M, Sadeghi H, Abdoli G, Agheli-Kohnehshahri L. Applying Public-Private Partnership Investment Model in Health: Assessment of Hospital Readiness in Iran. 3. 2013; 1 (2): 137-128
8. Ebadi F, Ansari H, Rezapoor A. Study of Daily Bed Occupancy Costs and Performance Indexes in Selected Hospitalat of Iran University of Medical Sciences in 1381. jha. 2005; 7 (18): 37-44
9. asgari H. The Estimation of Cost Function in Ilam Hospitals (2003-2012). sjimu. 2014; 22 (4): 190-198
10. Lai D, Huang J, Risser JM, Kapadia AS. Statistical properties of generalized Gini coefficient with application to health inequality measurement. Social Indicators Research. 2008; 87(2):249-58. [DOI:10.1007/s11205-007-9170-y]
11. Miao C-x, Zhuo L, Gu Y-m, Qin Z-h. Study of large medical equipment allocation in Xuzhou. Journal of Zhejiang University-Science B. 2007; 8(12):881-4. [DOI:10.1631/jzus.2007.B0881]
12. Goudarzi S, Mazhari S, Moayeri F. The Modeling of Hospital Beds Forecasting in IR of Iran. Iranian Red Crescent Medical Journal. 2011; 2011(7, Jul):510-1.
13. Maher A, Marzang S, Hosseini S M. Correlation between Distribution of Hospital Inpatient Beds and Households expenditure in Iran. hbrj. 2016; 2 (3): 275-287
14. Zandiyan H, Ghiasvand H, Nasimi DR. Measuring inequality of distribution of health resources: A case study, Payesh 11 (6), 799-805
15. Rashidian A, Yousefi-Nooraie R, Azemikhah A, Heidarzadeh M, Changizi N, Mahta-Basir F, Motlagh ME. Perinatal care regionalization and geographical distribution model in the Islamic Republic of Iran. Hakim Health Sys Res. 2008; 11 (2): 1-11
16. Mostafavi H, Aghlmand S, Zandiyan H, Alipoori Sakha M, Bayati M, Mostafavi S. Inequitable Distribution of Specialists and Hospital Beds In West Azerbaijan Province. payavard. 2015; 9 (1): 55-66
17. Rezaei S, Nouri B. Evaluation of inequalities in the distribution of health resources by Gini coefficient and Lorenz curve: a case study in Kurdistan province from 2006 to 2013. SJKU 2016, 20(6): 1-11 [DOI:10.26719/2016.22.1.20]
18. Lawshe CH (1975). A quantitative approach to content validity1. Personnel psychology. 28(4):563 [DOI:10.1111/j.1744-6570.1975.tb01393.x]
19. Ataolahi F BM, Abesi M, Mobasheri F, Khani SH. Presentation of Ideal Planning Model for Hospital Beds Allocation in Shahid Mohammadi Hospital in Bandar Abbas. Journal of Health Care Management. 2014; 5(1):59-68.
20. Cardoso LT, Grion CM, Matsuo T, et al. Impact of delayed admission to intensive care units on mortality of critically ill patients: a cohort study. Critical Care. 2011; 15(1) [DOI:10.1186/cc9975]
21. Jamali F, Sadrmousavi MS, Eshlaghi M. An introduction to hospital sites selection and design. Hospital. 2012; 11(2):87-98.
22. Ahadnejad M, Ghaderi H, Hadian M, Haghighatfard P, Darvishi B, Haghighatfard E, et al. Location Allocation of Health Care Centers Using Geographical Information System: region 11 of Tehran. Journal of Fasa University of Medical Sciences. 2015; 4(4):463-74.
23. Council of Australian Therapeutic Advisory Groups.Managing Medicine Access Programs in Australian Hospitals.CATAG, 2015
24. Aghamohamadi S, Jahangiri K, Hajinabi K, Masoudi Asl I, Dehnavieh R. Foresight for Inpatient Beds in Hospitals of Iran: Vision 2035. jha. 2018; 21 (71): 23-36
25. Schofield DJ, Earnest A. Demographic change and the future demand for public hospital care in Australia, 2005 to 2050. Aust Health Rev2006; 30(4):507-15. [DOI:10.1071/AH060507]
26. SH.Semnani (M.D), AA.Keshtkar (M.D). Assessing of equality on health care cost in Gorgan population laboratory study. J Gorgan Univ Med Sci. 2003; 5 (2): 53-59
27. Zahediasl M. Studying the relation of life quality and social capital. Quarterly journal of Social sciences. 2010; 17 (49): 1-29
28. Parsa Moghadam M, Yazdani M, Seyyedin A, Pashazadeh M. Optimal Site Selection of Urban Hospitals Using GIS Software in Ardabil City. J Ardabil Univ Med Sci. 2017; 16 (4): 374-388
29. Shafii M, Rashidian A, Nayeri F, Charrahi Z, Akbarisari A, Hamouzadeh P. Geographical Distribution and Presenting Initial Map of Hospital Services Regionalization for Mother and Infant in Tehran. Hakim Health Sys Res. 2012; 15 (1): 1-12
30. Khabiri R, Khosravi A, Elahi E, Khodayari Moez E, Rashidian A. Maternal Health Care based on Iran' Multiple Indicator Demographic and Health Survey (IrMIDHS-2010). Hakim Health Sys Res. 2014; 17 (1): 67-77
31. Jafari F JA, Almodaresi S. Optimal spatial management using of fuzzy membership and overlaying functions and AHP model in GIS environment to clinics and hospitals site selection in Bandar Abbas. Urban Management Studies. 2016; 8 (27):55-68.
32. Navaee-Joghtaee M, Rajabzadeh M, Bozorgi-Amiri A. Locating and allocating health services with regard to cost and efficiency: case study Amol city. Journal of Health Administration. 2016; 19(63):21-33
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