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International Journal of Preventive Medicine logoLink to International Journal of Preventive Medicine
. 2013 Mar;4(3):265–270.

Mortality Inequality in 1-59 Months Children Across Iranian Provinces: Referring System and Determinants of Death Based on Hospital Records

Masoud Amiri 1, Hamid Reza Lornejad 1, Sayyed Hamed Barakati 2, Mohammad Esmaeil Motlagh 3,, Roya Kelishadi 4, Parinaz Poursafa 4
PMCID: PMC3634164  PMID: 23626882

Abstract

Background:

To determine inequality in mortality in 1-59 months children across Iranian provinces focusing on referring system and determinants of death.

Methods:

After designing and examining a national questionnaire for mortality data collection of children 1-59 months, 40 medical universities have been asked to fill in the questionnaires and return to the main researcher in the health ministry in 2009.

Results:

Mortality in 1-59 months children was unequally distributed across provinces (universities). The recommended refer was 3466 but only 1620 patients were referred. The first five important determinants of death were congenital (671 children or 20.9%), accident (547 children or 17.1%), pulmonary diseases (370 children or 11.5%), cardiovascular (266 children or less than 8.3%), central nervous system (263 children or 8.2%), and infectious and parasitic diseases (245 children or 7.6%), respectively.

Conclusions:

Our results suggest that inequality in 1-59 months mortality based on the hospital records, and specially referring system, needs more attention in Iran. In addition, it is advisable to conduct provincially representative surveys to provide recent estimates of hospital access inequalities and to allow monitoring over time.

Keywords: Children mortality, hospital records, Iran, national mortality registration system, referring system

INTRODUCTION

Over the past few decades, and particularly since the World Summit for Children in 1990,[1] there has been growing interest in measuring child mortality, both as a health indicator and as a basic measure of human development.[2] More than 8 million children die each year all over the world[3] and child mortality has received special attention as part of the United's Millennium Development Goals (UN MDG).[4] This fact has brought renewed attention to the challenge of improving child survival, including, a focus on understanding why some populations are making progress and others are not.[57] Some researchers have suggested that decline in child mortality can be at least partially attributed to the improved measurement of child mortality.[8] Thus, increased policy discussion of investment in child health is leading to calls for more timely and more local measurements of child mortality.[9] However, despite considerable efforts, our knowledge on the impact of intervention strategies for many countries is weak.[2] A vital registration system that captures all births and deaths is the optimal way to monitor child mortality; however, a very few developing countries have complete vital registration systems.[10]

Child mortality is often used as an indicator of population health.[11] Moreover, in developing countries, data on child mortality are comparatively reliable compared with other measures of population health.[11] In fact, child mortality is a key health outcome in developing countries.[12] In countries with complete vital registration systems that capture all births and deaths, child mortality can be directly calculated, considering that one of the most important indices of health in each age group is its own mortality rate. In the absence of a complete vital registration system, however, child mortality must be estimated using live births.

Furthermore, with increasing concern about equity in child survival, it is arguably as important to be able to measure and monitor child mortality at the subnational level, which complete birth histories are clearly inappropriate for this purpose. Health policy makers always need appropriate and up-to-date information about mortality, in order to evaluate the efficacy of current system and to design of suitable intervention studies. There is a special emphasis on the health of Iranian children and therefore, many preventive activities are carrying out to improve their health. Therefore, in 1997, the study on the registration of death and its cause has been carried out in Bushehr Province as a pilot study. In 1999, Semnan, Eastern Azarbayejan and Chahar Mahal and Bakhtiary provinces were added to this project. Another six provinces in 2000 and rest of the provinces have been added in 2002. The primary results of the mentioned studies have revealed that despite favorable results of current activities of improvement of national health and declining mortality in children, the current information system needs revision.[13]

The main aim of this study is to explore the current process of referring system on mortality among 1-59 months children based on hospital records. There is also an assumption that there is an inequality among different universities, which are covering health of residents of different Iranian provinces. As it is unknown to what extent 1-59 months mortality has been equally distributed within the country, this study is going to describe the inequality in 1-59 months mortality in Iran.

METHODS

Birth history data and data on determinants of 1-59 months mortality were obtained from Iranian Demographic and Health Surveys, which are nationally representative surveys among ever-married women aged 15-49 years.[13,14]

It should be noted that since 1985, the responsibility of health in Iran has been delivered to Universities of Medical Sciences. In 2009, there were 40 medical universities (in 30 provinces) in Iran. In the primary step, a national qualitative health survey (including new questionnaire for gathering better information) has been carried out among health experts of three selected medical universities: Shahid Beheshti, Semnan and Arak. Based on their comments, the primary designed quantitative questionnaires have been revised. Then, the revised questionnaires have been filled in Arak. With resolving the observed practical problems, the final questionnaire has been prepared and was sent to 40 medical universities in order to be filled in all parts of Iran in 2009. The requested data on mortality of children 1-59 months in different parts of Iran have been collected and sent to the main researcher in the health ministry.

Using the designed questionnaire, in addition to age and sex of deceased children, some other information has also been collected across the country, based on hospital records. These information include, recommended refer, referred patients, Suitable CardioPulmonay Resuscitation (CPR), on time CPR, physician's recommended treatment, on time treatment, on time diagnosis, possibility of another diagnosis, available diagnosis in close hospital, necessity of referring, the reason of not referring (no request for refer, unavailable admission in target hospital and unavailable facilities for transfer), transferred patients, need for special surveillance, receiving special surveillance, diagnosis based on International Classification of Diseases- 10th revision or ICD-10 categories (accident, congenital, pulmonary, cardiovascular, infectious and parasitic diseases, central nervous system (CNS), gastroenteritis, metabolic disorders, blood diseases, cancer, urinary diseases, mental/behavioral diseases, around birth death and other reasons), correct diagnosis (based on laboratory results), reports of complications during hospitalization and true complications during hospitalization.

All questionnaires have been entered inside the pre-designed program (Microsoft Access 2007). After determining the distribution of 1-59 months mortality in universities, these distributions were considered to interfere the correlations with other variables. Chi-square test has been applied for nominal and ordinal variables. ANOVA and Students t-test have been used for measuring the difference of continuous variables among groups. SPSS for Windows (version 19.0) has been used for the analysis.

RESULTS

Mortality in 1-59 months children was unequally distributed across provinces (universities). Table 1 shows unequal distribution of children's deaths across Iran in 2009. Most of the deceased children were male in many of provinces. The largest number of deaths was in Razavi Khorasan (643 deaths) and smallest number of deaths in Fasa (4 deaths).

Table 1.

Distribution of 1-59 months mortality across Iranian universities by sex in 2009

graphic file with name IJPVM-4-265-g001.jpg

The hospital records characteristics of Iranian deceased children 1-59 months in different universities have been shown in Table 2. The recommended refer was 3466 but only 1620 patients were referred. For 3417 (95.4%) patients, CPR were done in which 3315 (92.1%) were on time. Physicians recommended treatment for 3275 (91.3%) of patients; however, only 1648 (66.1%) of patients had on time treatment. The diagnosis was on time only in 671 patients (19.2%) while there was the possibility of another diagnosis in 664 (18.9%) of patients. In 1471 (60.1%) children, diagnosis in their close hospital was available. In 295 (33.1%) patients, refer was necessary. The most important reasons of not referring were unavailable admission in target hospital. There was also no request for referring in 178 (36.3%) children. For 103 (21%) patients, facilities for transfer were not available. Only 173 children were transferred. Special surveillance was necessary for 2168 (71.6%) of patients; however, only 773 children were received this special surveillance. Based on laboratory results, 2993 (95.7%) of all diagnosis were correct. From 815 reported complications during hospitalization, 691 of them had real complications. Finally, based on ICD-10 categories, the first five important determinants of death were congenital (671 children or 20.9%), accident (547 children or 17.1%), pulmonary diseases (370 children or 11.5%), cardiovascular (266 children or less than 8.3%), CNS (263 children or 8.2%), and infectious and parasitic diseases (245 children or 7.6%), respectively.

Table 2.

Hospital records characteristics of Iranian deceased children 1-59 months in 2009

graphic file with name IJPVM-4-265-g002.jpg

DISCUSSION

This study is one of the first to show the spatial distribution of the inequality of 1-59 months mortality within a developing country. It shows that there is a lack of referring system related to children mortality across Iran as a whole and within most of its provinces. Mortality in 1-59 months seems to be unequally distributed across provinces (universities).

Various major health programs and initiatives focus on children mortality; and most UN member states have agreed to the UN Millennium Development Goal (MDG) of reducing the under-five mortality by two-thirds between 1990 and 2015.[6] Therefore, reducing regional disparities in mortality within countries is an important objective of national governments and international organizations.[15,16] Although, in the recent years, there have been carried out many studies on inequality and spatial distribution of children mortality in developing countries;[1725] however, not much is known about how inequalities change across Iranian provinces, and what the determinants of these changes are.

It should be noted that the objective of our study was not to rank provinces according to their inequality, however, to show the distribution of children 1-59 months mortality across Iran, which can help health planning and policy-making for promotion of health in Iranian provinces, especially, in the hospitals.

Furthermore, based on the published report of Iranian ministry of health, more than 80% of mortality in age group of 1-59 months take place in hospitals.[13,26] Therefore, the further focus must be on the determination of inequality in hospitals. To do this, we should have standardized questionnaires to compare different hospital records.

There are some explanations for the observed inequality. For instance, the large number of death in children of Razavi Khorasan might largely be explained by differences in access to first care facilities, especially, for Afghanian immigrants. Furthermore, in some provinces, nutritional standards less improved, women's literacy less increased, and the number of health-care facilities have not been expanded yet. These changes were paralleled by different patterns of children mortality in different provinces. Moreover, during recent years, the Iranian population in some provinces has better access to better and more facilitated hospitals with more medical experts and more skilled physicians.

Our study implies that widening socio-economic inequalities in Iranian provinces (universities) are not inevitable; declining inequalities may occur as well, certainly in absolute terms. An equitable distribution of primary health-care development might be an important factor for preventing widening in inequalities in children mortality. We can deduce the reasons for the existing conditions from experts as well as from local information in some provinces, but there is little research-based evidence to provide clear explanations, especially, in urban areas. For instance, utilization of health-care facilities in Sistan and Baluchestan are known to be far lesser than the rest of the country not only because of low-availability of health-care, but also as a result of people's attitude.[14] This study indicates the necessity of better defining the determinants of both inequality and levels of children mortality as well as the contribution of each factor to different provinces focusing on hospital records.

The referring system did not show a good process in Iran; i.e. although for most of deceased children referring was recommended; only part of them was referred. There are many barriers to have an efficient referring system such as: cooperation between different health-care workers, out-to-date transferring facilities, inefficient insurance policy that lead to not admission in target hospitals, and so on.

Recommended treatment by first physician was received by deceased children on time. It might be because of the distance between first place and target place. It could also be due to wrong belief that special hospital could cure patient much better than the closer hospital. There are also some administrative disadvantages of hospitals’ management in Iran.

CONCLUSIONS

Our results suggest that inequality in 1-59 months mortality based on the hospital records needs more attention in Iran as a whole and in most of its provinces by policy-makers. Specially, referring system needs special attention. In addition, it is advisable to conduct provincially representative surveys to provide recent estimates of hospital access inequalities and to allow monitoring over time.

Footnotes

Source of Support: This study was conducted as part of the national mortality registry program

Conflict of Interest: None declared

REFERENCES

  • 1.World declaration on the survival, protection and development of children and plan of action for implementing the world declaration on the survival, protection and development of children in the 1990s: World summit for children. New York: UN Publications; 1990. [Last accessed on Dec]. United Nations. Available from: http://www.unicef.org/wsc/plan.htm#Introduction . [Google Scholar]
  • 2.Murray CJ, Laakso T, Shibuya K, Hill K, Lopez AD. Can we achieve millennium development goal 4? New analysis of country trends and forecasts of under-5 mortality to 2015. Lancet. 2007;370:1040–54. doi: 10.1016/S0140-6736(07)61478-0. [DOI] [PubMed] [Google Scholar]
  • 3.You D, Wardlaw T, Salama P, Jones G. Levels and trends in under-5 mortality, 1990-2008. Lancet. 2010;375:100–3. doi: 10.1016/S0140-6736(09)61601-9. [DOI] [PubMed] [Google Scholar]
  • 4.Fukuda-Parr S. Overview In: Millennium Development Goals: A Compact Among Nations to End Human Poverty. New York: United Nations Development Programme (UNDP); 2003. pp. 1–14. [Google Scholar]
  • 5.Jones G, Steketee RW, Black RE, Bhutta ZA, Morris SS Bellagio Child Survival Study Group. How many child deaths can we prevent this year? Lancet. 2003;362:65–71. doi: 10.1016/S0140-6736(03)13811-1. [DOI] [PubMed] [Google Scholar]
  • 6.Bryce J, Daelmans B, Dwivedi A, Fauveau V, et al. Countdown Coverage Writing Group; on behalf of the Countdown to 2015 Core Group. Countdown to 2015 for maternal, newborn, and child survival: The 2008 report on tracking coverage of interventions. Lancet. 2008;371:1247–58. doi: 10.1016/S0140-6736(08)60559-0. [DOI] [PubMed] [Google Scholar]
  • 7.Masanja H, de Savigny D, Smithson P, Schellenberg J, John T, Mbuya C, et al. Child survival gains in Tanzania: Analysis of data from demographic and health surveys. Lancet. 2008;371:1276–83. doi: 10.1016/S0140-6736(08)60562-0. [DOI] [PubMed] [Google Scholar]
  • 8.Gakidou E, Hogan M, Lopez AD. Adult mortality: Time for a reappraisal. Int J Epidemiol. 2004;33:710–7. doi: 10.1093/ije/dyh099. [DOI] [PubMed] [Google Scholar]
  • 9.Canadian International Development Agency. The catalytic initiative to save a million lives, 2009. [Last accessed on 2012 Dec 30]. Available from: http://www.acdi-cida.gc.ca/CIDAWEB/acdicida.nsf/En/NAD-1249841-JLG .
  • 10.Mathers CD, Fat DM, Inoue M, Rao C, Lopez AD. Counting the dead and what they died from: An assessment of the global status of cause of death data. Bull World Health Organ. 2005;83:171–7. [PMC free article] [PubMed] [Google Scholar]
  • 11.Houweling TA, Kunst AE, Borsboom G, Mackenbach JP. Mortality inequalities in times of economic growth: Time trends in socioeconomic and regional inequalities in under 5 mortality in Indonesia, 1982-1997. J Epidemiol Community Health. 2006;60:62–8. doi: 10.1136/jech.2005.036079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Rutstein SO. Factors associated with trends in infant and child mortality in developing countries during the 1990s. Bull World Health Organ. 2000;78:1256–70. [PMC free article] [PubMed] [Google Scholar]
  • 13.Naghavi M, Abolhassani F, Pourmalek F, Lakeh M, Jafari N, Vaseghi S, et al. The burden of disease and injury in Iran 2003. Popul Health Metr. 2009;7:9. doi: 10.1186/1478-7954-7-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Iran Demographic and Health Survey Report. Tehran: Ministry of Health and Medical Education; 2000. Public Relations Department, Research and Technology Division, Ministry of Health and Medical Education. Population and Health in the Islamic Republic of Irant; pp. 5–9. [Google Scholar]
  • 15.Braveman P, Gruskin S. Poverty, equity, human rights and health. Bull World Health Organ. 2003;81:539–45. [PMC free article] [PubMed] [Google Scholar]
  • 16.Victora CG, Wagstaff A, Schellenberg JA, Gwatkin D, Claeson M, Habicht JP. Applying an equity lens to child health and mortality: More of the same is not enough. Lancet. 2003;362:233–41. doi: 10.1016/S0140-6736(03)13917-7. [DOI] [PubMed] [Google Scholar]
  • 17.Escaramís G, Carrasco JL, Aponte JJ, Nhalungo D, Nhacolo A, Alonso P, et al. Spatio-temporal analysis of mortality among children under the age of five in Manhiça (Mozambique) during the period 1997-2005. Int J Health Geogr. 2011;10:14. doi: 10.1186/1476-072X-10-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Adjuik M, Kanyomse E, Kondayire F, Wak G, Hodgson A. Clustering of under-five mortality in the Navrongo HDSS in the Kassena-Nankana District of northern Ghana. Glob Health Action. 2010 doi: 10.3402/gha.v3i0.5233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Alam N, Zahirul Haq M, Kim Streatfield P. Spatio-temporal patterns of under-five mortality in Matlab HDSS in rural Bangladesh. Glob Health Action. 2010 doi: 10.3402/gha.v3i0.5252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Antai D, Ghilagaber G, Wedrén S, Macassa G, Moradi T. Inequities in under-five mortality in Nigeria: Differentials by religious affiliation of the mother. J Relig Health. 2009;48:290–304. doi: 10.1007/s10943-008-9197-7. [DOI] [PubMed] [Google Scholar]
  • 21.Lutambi AM, Alexander M, Charles J, Mahutanga C, Nathan R. Under-five mortality: Spatial-temporal clusters in Ifakara HDSS in South-eastern Tanzania. Glob Health Action. 2010 doi: 10.3402/gha.v3i0.5254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Rajaratnam JK, Tran LN, Lopez AD, Murray CJ. Measuring under-five mortality: Validation of new low-cost methods. PLoS Med. 2010;7:e1000253. doi: 10.1371/journal.pmed.1000253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Arudo J, Gimnig JE, ter Kuile FO, Kachur SP, Slutsker L, Kolczak MS, et al. Comparison of government statistics and demographic surveillance to monitor mortality in children less than five years old in rural western Kenya. Am J Trop Med Hyg. 2003;68:30–7. [PubMed] [Google Scholar]
  • 24.Perry H, Cayemittes M, Philippe F, Dowell D, Dortonne JR, Menager H, et al. Reducing under-five mortality through Hôpital Albert Schweitzer's integrated system in Haiti. Health Policy Plan. 2006;21:217–30. doi: 10.1093/heapol/czl005. [DOI] [PubMed] [Google Scholar]
  • 25.Perry HB, Ross AG, Fernand F. Assessing the causes of under-five mortality in the Albert Schweitzer Hospital service area of rural Haiti. Rev Panam Salud Publica. 2005;18:178–86. doi: 10.1590/s1020-49892005000800005. [DOI] [PubMed] [Google Scholar]
  • 26.Naghavi M. Mortality profile for 10 provinces of Iran. Tehran: WHO country office for the Islamic Republic of Iran; 2001. pp. 1–5. [Google Scholar]

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