Volume 15, Issue 3 (5-2017)                   IJRM 2017, 15(3): 147-154 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Tourani S, Zarezadeh M, Raadabadi M, Pourshariati F. Association of regional disparity of obstetrics and gynecologic services with children and infants mortality rates: A cross-sectional study. IJRM 2017; 15 (3) :147-154
URL: http://ijrm.ir/article-1-807-en.html
1- School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
2- School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran , zamomehdi@gmail.com
3- Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
4- Social Determinants of Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Full-Text [PDF 352 kb]   (687 Downloads)     |   Abstract (HTML)  (2750 Views)
Full-Text:   (414 Views)
Introduction
 
Health equity and elimination of health inequities have changed to one of the critical challenges in health care systems worldwide, particularly in developing countries (1). Regardless of different concepts, equity is considered as the core of health care system, hence the need for concentration on equitable distribution of services among different social groups (2). Equity in health has always been noticed as a permanent concern of researchers, planners, and policy makers in health care (3). Equality in distribution of health care sources and its effect on quality and quantity of services have long been challenged by the health policy makers. A large number of texts have defined equity beside access and equality (2, 4).
According to Iran's 4th and 5th Development Plans and Iranian 2025 Vision Document, Ministry of Health is obliged to provide appropriate plans for equitable and need-based access to health care services. Also health care system is responsible and responsive to develop equity in different aspects and supply health care services according to need for care (5). General consensus suggests that inequality in access to health services is unfair and inequitable (6) and health care system is responsible to ensure equal access to health services according to need (7). An equitable service is one which is accessed according to need regardless of ability to pay (8). Socio-economic inequalities in using health care services result in increased burden of disease and exacerbates social inequalities in health leading to inappropriate socio-economic effects (9).
Therefore, eliminating the gap in health inequalities in vulnerable populations has been recently taken into account (10). Investigations on utilization of health services help recognize access facilitating factors, causes of access barriers, and volume and quality of care provided (11). 2008 world health organization (WHO) report revealed that in 2006, 18329 children’s lives had been saved every day (12). In Iran, development of Primary Health Care along with increased admission of students in medical sciences have improved the country’s health status where human development index changed from 0.536 in 1990 to 0.702 in 2010 (13, 14). However, regarding all recent achievements and improved health indicators in Iran, differences of inequality pattern and promoting health indicators have not been taken into account as it seems that no specific plan is being performed in order to decrease inequality in children mortality rate (15).
Also according to WHO report of 2009, children mortality rate in Iran was still 33 per 1000 live births which was about three times more than some neighboring countries such as Oman, Qatar, Bahrain, Kuwait, and Emirates (16). A brief look at the country health indicators in recent decade shows rapid growth of indicators, but on the other hand indicates inequalities in some indicators in different regions and provinces (15). In spite of such progress, neonatal mortality still persists. In most cases, it may be avoided by acknowledging maternal requirements within primary health care and by upgrading professional attendance with interventions to reduce the high number of deaths(17). Although child mortality coefficient has decreased from 120.7/1000 live births in 1970 to 19.9/1000 LB in 2010, neonatal mortality coefficient remains high, 13.6/1000 LB (68.0%). In fact, perinatal causes are potentially avoidable through access to qualified health services for the control of maternal diseases and complications in pregnancy and delivery (18).
Among all indicators, maternal health promotion is a critical base of health care services. From the very first years of foundation of health care system in Iran, mothers' health as the vulnerable group was specifically considered by health care policy makers. As the indicators of access to services improved, qualitative promotion of sufficient maternal care in pregnancy, delivery, and post-delivery seemed to be essential as a strategy to eliminate maternal mortality rate which was performed through taking an appropriate approach toward early detection and timely referral of mothers at risk (19).
Women have a leading role in forming the culture and training as well as preserving and promoting family and society health. Therefore, optimal distribution of women health professionals such as obstetrics and gynecology (Ob/Gyn) specialists, midwives, and delivery beds in different regions of the country is of high importance, as women health guarantees family health and in a wider aspect society health (9). In this regard, the present study aimed at Regional Disparity distribution of obstetrics and gynecology services and its association with children and infants mortality rates in the country level.
 
Materials and methods
 
This was a descriptive-analytical and cross sectional study conducted in 2015 based on the available data in a section of time in 2014. 
So All data is annually and 12 months were studied in 2014. The study population and sample composed of 30 provinces of Iran. Therefore, sampling was not performed and all the provinces were enrolled in the study.
Data gathering was conducted using a researcher-made form which consisted of the name of the province, population, number of normal vaginal deliveries, number of cesarean sections, total deliveries, number of nursing and midwifery personnel in delivery wards, total Ob/Gyn specialists, total delivery beds, infant mortality rate, under-one mortality rate, and under-five mortality rate. The data for all the provinces were collected from the Ministry of Health.
To investigate Ob/Gyn services inequalities, Gini index and Lorenz curve were used. Gini index is a criterion of inequality in distribution ranging between 0 and 1 which is the ratio of the area lying between the Lorenz curve and the line of equality over the total area under the line of equality (Figure 1) (20). Gini is an important index in assessment of equality being used in most of the similar studies which has a value of 0-1, 0 representing complete equality and 1 representing complete inequality. Gini index of <0.2 shows complete equality in distribution, 0.2-0.3 high equality in distribution, 0.3-0.4 inequality in distribution, 0.4-0.6 high inequality in distribution, >0.6 complete inequality.
In this study, Gini coefficient was calculated using the following formula where yi is the cumulated proportion of the variable (delivery bed, nursing and midwifery personnel, specialist) in the i province, xi is the cumulated proportion of the population variable (i.e., vaginal delivery, C-section, total deliveries) in the provinces, n is total number of provinces.


Ethical consideration
Since the study was not conducted on animals and humans, so didn’t require getting a license from Ethics Committee.
 
Statistical analysis
In this study, in order to investigate distribution of Ob/Gyn services, three indicators of number of nursing and midwifery personnel in delivery wards, total number of Ob/Gyn specialists, and total delivery beds were assessed in terms of population, vaginal delivery, C-section, and total deliveries.
Gini coefficient was calculated using these criteria by Stata 12. The association of Ob/Gyn services with children and infant mortality rates was investigated using Statistical Package for the Social Sciences, version 21.0, SPSS Inc, Chicago, Illinois, USA (SPSS) and linear regression test.
 
Results
 
Table I shows the values related to Ob/Gyn services and mortality rates of the provinces. The average of total deliveries was 40611.63, 51% of which were normal vaginal delivery and the rest were C-section. All Gini coefficients for Ob/Gyn services revealed inequitable distribution of this service in number of nursing and midwifery personnel in delivery wards, total number of Ob/Gyn specialists, and total delivery beds in terms of population, vaginal delivery, C-section, and total deliveries being more considerable in distribution of Ob/Gyn specialists (Table II). According to linear regression test, infant mortality was significantly associated with the variables of nursing and midwifery personnel in delivery wards, and total number of Ob/Gyn specialists, as infant mortality rate decreased by an increase in Ob/Gyn services (Table III).

Table I. Mean and SD of obstetrics and gynecology and mortality variables in the studied provinces (number & annually in 2014)





Table II. Gini coefficient for obstetrics and gynecology services based on population and delivery






Table III. Association of obstetrics and gynecology services with mortality indicators







Figure 1. Lorenz curve


Figure 2. Lorenz curve of obstetrics and gynecology indicators

Discussion
 
A review of Iran health care system status in late 1970s reveals extreme disparity in distribution of physicians throughout the country; as 69% of the specialists served in Tehran; 18% in Tabriz, Mashhad, Ahwaz, Shiraz, and Isfahan; and 13% in other cities (21). Appropriate and balanced distribution of resources particularly expert human resources as well as hospital beds in health care system can assist in promoting health indicators and consequently increasing equality and social equity. Mirsaeid and coworker. reported that despite increased rate of training expert human resources in health in recent years, many problems exist in an optimal distribution of these personnel in hospitals (22). In this regard, the current study was conducted to determine Regional Disparity of Ob/Gyn services and its association with children and infant mortality rates.
All Gini indices showed inequitable distribution of Ob/Gyn services including number of nursing and midwifery personnel in delivery wards, total number of Ob/Gyn specialists, and total delivery beds in terms of population, vaginal delivery, C-section, and total deliveries being more considerable in distribution of Ob/Gyn specialists. De Bruin and colleague investigated distribution of Coronary Care Unit beds in 24 university hospitals of the Netherlands from 2004-2006. Gini indices were found to be, respectively, 0.65 and 0.5 for the mentioned years indicating inequality in distribution of CCU beds (23).
Horev and colleague studied trends in geographical disparities in allocation of resource in the US using Gini coefficient and reported a descending trend of equity in distribution of physicians to hospital beds during three decades. However, distribution of beds was found to be equitable (24). Olsen and colleague assessed inequality in distribution of health human resources in Tanzania and found inequitable and inefficient distribution of qualified staff (25). Using Gini coefficient, Matsumotoa and colleague found inappropriate distribution of physicians in Japan hospitals from 1996-2006 (26). According to linear regression test, infant mortality was significantly associated with the variables of nursing and midwifery personnel in delivery wards, and total number of Ob/Gyn specialists, as infant mortality rate decreased by an increase in Ob/Gyn services. Other studies showed that Ob/Gyn services in most Brazilian municipalities coped with the greatest number of high risk births and, therefore, the highest indexes of neonatal mortality (27, 28).
The Disparity of obstetrics and gynecologic services for high risk obstetric attendance is very common in many countries. A multicenter analysis undertaken in eight Latin American countries (Argentina, Brazil, Cuba, Ecuador, Mexico, Nicaragua, Paraguay and Peru) reported that the public hospital was the most employed type of service (72.7%), which also featured the highest number of pre-term births and deaths in the neonatal period (29). Similar evidences could be seen in a neonatal unit in the public regional hospital of Valdivia, Chile (30). The opportune access to a whole set of obstetric and neonatal interventions, acknowledged for their efficaciousness, warrants the reduction of certain impairments and a higher survival rate of risk-prone newborns for a great percentage of the population. In fact, it is possible to attain a standard compatible with that of the best centers in the world (17).
The results of the present study and other similar works confirmed that regarding hospital beds and human resources as the basis of equity, there were significant inequities in the surveyed regions. Although solving the problems of equity in distribution of health resources and especially its measurement do not seem to be easy, this issue can highly affect policy making and resource allocation in health care systems (31).
WHO has also emphasized the necessity of measuring equity in resource allocation. Considering access to health services as the fundamental right for all human being, inequality in geographical distribution of health resources negatively affects people access to these services (32). These problems seem more considerable in developing countries due to poor registration, collection, preservation, and analysis of data for planning in health care systems. Therefore, geographical equity and equity in distribution of health resources need to be emphasized as a public health index (33). One of the main reasons for lack of Ob/Gyn specialists in the province level is limited admission of students in Ob/Gyn specialty in the country. Some countries try to motivate health human resources financially to work in rural and deprived areas including offering scholarship, direct financial motivators, and offering loan to the physicians working in the mentioned areas (34-37).
Therefore, it is recommended that policy makers and other key decision makers in the Ministry of Health financially support the graduates of medical specialties and develop their educational and professional support. Since most of the women health services are provided by the Ob/Gyn specialists in pregnancy period, and policies of women health concentrate on pregnancy and post delivery services, thus these two indices are recognized as appropriate need indices for receiving health services related to Ob/Gyn specialists and midwifery staff (38).
 
Conclusion
 
Regarding new population policies in Iran, it is predicted to have an increase in fertility rate in the coming years. This issue should be accompanied by proper planning for facilitating services for the women of reproductive age. Therefore, availability of the required services is recommended to be facilitated for the women particularly of reproductive age. Considering limited resources, related human resources should to be distributed based on need indices such as fertility rate, live births or fertility pattern of different regions. Also research is required to identify gaps within the different levels of health care to the mother and the neonate so that access inequalities could be eliminated.
 
Conflict of interest
 
None declared.


 
Type of Study: Original Article |

References
1. Rashad H, Khadr Z. Measurement of health equity as a driver for impacting policies. Health Prom Int 2014; 29 (Suppl.): 68-82. [DOI:10.1093/heapro/dau045]
2. Glorioso V, Subramanian S. Equity in access to health care services in Italy. Health Serv Res 2014; 49: 950-970. [DOI:10.1111/1475-6773.12128]
3. McGrail KM, Van Doorslaer E, Ross NA, Sanmartin C. Income-related health inequalities in Canada and the United States: a decomposition analysis. Am J Public Health 2009; 99: 1856-1863. [DOI:10.2105/AJPH.2007.129361]
4. Mobaraki H, Hassani A, Kashkalani T, Khalilnejad R, Chimeh EE. Equality in distribution of human resources: the case of Iran's Ministry of Health and Medical Education. Iran J Public Health 2013; 42: 161-165.
5. Amuzegar J. Iran's economy under the Islamic Republic. IB Tauris; 1997: P38.
6. Zyaambo C, Siziya S, Fylkesnes K. Health status and socio-economic factors associated with health facility utilization in rural and urban areas in Zambia. BMC Health Serv Res 2012; 12: 1-8. [DOI:10.1186/1472-6963-12-389]
7. Van der Heyden J, Demarest S, Tafforeau J, Van Oyen H. Socio-economic differences in the utilisation of health services in Belgium. Health Policy 2003; 65: 153-165. [DOI:10.1016/S0168-8510(02)00213-0]
8. Palència L, Espelt A, Rodríguez-Sanz M, Rocha KB, Pasarín MI, Borrell C. Trends in social class inequalities in the use of health care services within the Spanish National Health System, 1993-2006. Eur J Health Economic 2013; 14: 211-219. [DOI:10.1007/s10198-011-0362-7]
9. Dahlgren G, Whitehead M. A framework for assessing health systems from the public's perspective: the ALPS approach. Int J Health Serv 2007; 37: 363-378. [DOI:10.2190/U814-6X80-N787-807J]
10. Song HJ, Han HR, Lee JE, Kim JY, Kim KB, Ryu JP, et al. Does access to care still affect health care utilization by immigrants? Testing of an empirical explanatory model of health care utilization by Korean American immigrants with high blood pressure. J Immigrant Minor Health 2010; 12: 513-519. [DOI:10.1007/s10903-009-9276-1]
11. Shin H, Song H, Kim J, Probst JC. Insurance, acculturation, and health service utilization among Korean-Americans. J Immigrant Health 2005; 7: 65-74. [DOI:10.1007/s10903-005-2638-4]
12. Rivo M. 2008 World Health Report Emphasizes Importance of Primary Health Care. Am Fam Physic 2009; 79: 1051-1053.
13. Majdzadeh R, Nedjat S, Keshavarz H, Rashidian A, Eynollahi B, Larijani B, et al. A new experience in medical student admission in Iran. Iran J Public Health 2009; 38 (Suppl.): 36-39.
14. Andersen R, Newman JF. Societal and individual determinants of medical care utilization in the United States. Milbank Quarter 2005; 83:1-28. [DOI:10.1111/j.1468-0009.2005.00428.x]
15. Movahedi M, Hajarizadeh B, Rahimi A, Arshinchi M, Amirhosseini K, Motlagh M. Trend and geographical inequality pattern of main health indicators in rural population of Iran. Hakim Res J 2008; 10: 1-10.
16. Gressani D, Saba J, Fetini H, Rutkowski M, Maeda A, Langenbrunner J. Islamic Republic of Iran health sector review, volume I: main report. The World Bank Group. Hum Dev Sector, Middle East North Afr 2007: 1575-1581.
17. Oza S, Lawn JE, Hogan DR, Mathers C, Cousens SN. Neonatal cause-of-death estimates for the early and late neonatal periods for 194 countries: 2000-2013. Bullet World Health Organ 2015; 93: 19-28. [DOI:10.2471/BLT.14.139790]
18. Figueiredo PPd, Lunardi Filho WD, Lunardi VL, Pimpão FD. Infant mortality and prenatal care: contributions of the clinic in the light of Canguilhem and Foucault. Rev Latino-Am Enfermagem 2012; 20: 201-210. [DOI:10.1590/S0104-11692012000100026]
19. Khabiri r, khosravi a, elahi e, khodayari me, rashidian a. Maternal health care based on iran'multiple indicator demographic and health survey (irmidhs-2010). Hakim Health Sys Res 2014; 17: 67-77.
20. Brown MC. Using Gini-style indices to evaluate the spatial patterns of health practitioners: theoretical considerations and an application based on Alberta data. Soc Sci Med 1994; 38: 1243-1256. [DOI:10.1016/0277-9536(94)90189-9]
21. Pilerudi S. Health Network of City. Tehran, Iran: Razavie Publication; 2006: 87.
22. Mirsaeid G, Javad S, Mirzaie M, Haghshenas E, Dargahi H. Human resources distribution among Tehran university of Medical Sciences Hospitals. Payavard Salamat 2014; 7: 432-446.
23. de Bruin AM, Bekker R, van Zanten L, Koole GM. Dimensioning hospital wards using the Erlang loss model. Ann Oper Res 2010; 178: 23-43. [DOI:10.1007/s10479-009-0647-8]
24. Horev T, Pesis-Katz I, Mukamel DB. Trends in geographic disparities in allocation of health care resources in the US. Health Policy 2004; 68: 223-232. [DOI:10.1016/j.healthpol.2003.09.011]
25. Olsen ØE, Ndeki S, Norheim OF. Human resources for emergency obstetric care in northern Tanzania: distribution of quantity or quality? Hum Resourc Health 2005; 3: 1-12. [DOI:10.1186/1478-4491-3-5]
26. Matsumoto M, Inoue K, Farmer J, Inada H, Kajii E. Geographic distribution of primary care physicians in Japan and Britain. Health Place 2010; 16: 164-166. [DOI:10.1016/j.healthplace.2009.07.005]
27. Martins EF, Rezende EM, Almeida MCdM, Lana FCF. Perinatal mortality and socio-spatial inequalities. Rev Latino-Am Enfermagem 2013; 21: 1062-1070. [DOI:10.1590/S0104-11692013000500008]
28. Pinheiro CE, Peres MA, E DO. Increased survival among lower-birthweight children in Southern Brazil. Rev Saude Publica 2010; 44: 776-784. [DOI:10.1590/S0034-89102010005000031]
29. Souza JP, Cecatti JG, Faundes A, Morais SS, Villar J, Carroli G, et al. Maternal near miss and maternal death in the World Health Organization's 2005 global survey on maternal and perinatal health. Bulet World Health Organ 2010; 88: 113-119. [DOI:10.2471/BLT.08.057828]
30. Barría-Pailaquilén RM, Mendoza-Maldonado Y, Urrutia-Toro Y, Castro-Mora C, Santander-Manríquez G. Trends in infant mortality rate and mortality for neonates born at less than 32 weeks and with very low birth weight. Rev Latino-Am Enfermagem 2011; 19: 977-984. [DOI:10.1590/S0104-11692011000400017]
31. Calman K. The ethics of allocation of scarce health care resources: a view from the centre. J Med Ethics 1994; 20: 71-74. [DOI:10.1136/jme.20.2.71]
32. Asada Y. Assessment of the health of Americans: the average health-related quality of life and its inequality across individuals and groups. Pop Health Metr 2005; 3: 1-11. [DOI:10.1186/1478-7954-3-7]
33. Lai D, Huang J, Risser JM, Kapadia AS. Statistical properties of generalized Gini coefficient with application to health inequality measurement. Soc Indicat Res 2008; 87: 249-258. [DOI:10.1007/s11205-007-9170-y]
34. Grobler L, Marais BJ, Mabunda S, Marindi P, Reuter H, Volmink J. Interventions for increasing the proportion of health professionals practising in rural and other underserved areas. Cochrane Database Syst Rev 2009; 1: 1-25. [DOI:10.1002/14651858.CD005314.pub2]
35. Rabinowitz HK, Diamond JJ, Markham FW, Rabinowitz C. Long-term retention of graduates from a program to increase the supply of rural family physicians. Acad Med 2005; 80: 728-732. [DOI:10.1097/00001888-200508000-00004]
36. Pathman DE, Taylor Jr DH, Konrad TR, King TS, Harris T, Henderson TM, et al. State scholarship, loan forgiveness, and related programs: the unheralded safety net. JAMA 2000; 284: 2084-2092. [DOI:10.1001/jama.284.16.2084]
37. Pathman DE, Konrad TR, King TS, Taylor Jr DH, Koch GG. Outcomes of states' scholarship, loan repayment, and related programs for physicians. Med Care 2004; 42: 560-568. [DOI:10.1097/01.mlr.0000128003.81622.ef]
38. Enkin M, Keirse MJ, Neilson J, Crowther C, Duley L, Hodnett E, et al. Effective care in pregnancy and childbirth: a synopsis. Birth 2001; 28: 41-51 [DOI:10.1046/j.1523-536x.2001.00041.x]

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Designed & Developed by : Yektaweb