Skip to main content
International Journal of Health Policy and Management logoLink to International Journal of Health Policy and Management
. 2013 Sep 4;1(3):213–218. doi: 10.15171/ijhpm.2013.39

Importance of Pre-pregnancy Counseling in Iran: Results from the High Risk Pregnancy Survey 2012

Mohammad Eslami 1, Mahdieh Yazdanpanah 1, Robabeh Taheripanah 2, Parnian Andalib 1, Azardokht Rahimi 1, Nouzar Nakhaee 3,*
PMCID: PMC3937883  PMID: 24596867

Abstract

Background: To identify the prevalence of behavioural (Pre-pregnancy), obstetrical and medical risks of pregnancy in Iranian women.

Methods: A total of 2993 postpartum women who delivered in 23 randomly selected hospitals of six provinces were enrolled in this nationwide cross-sectional study. A structured questionnaire was completed based on interviewees’ self-reports and medical record data, consisting of socio-demographic characteristics, behavioural, obstetrical and medical risks, before and during pregnancy.

Results: Less than 6.0% had no health insurance and 5.0% had no prenatal visit before labour. Unintended pregnancy was reported by 27.5% of women. Waterpipe and/or cigarette smoking was reported by 7.1% of them and 0.9% abused opiates during pregnancy. Physical abuse by husband in the year before pregnancy occurred in 7.5% of participants. The rate of cesarean section was 50.4%. Preterm birth, low birth weight, and stillbirth were seen in 6.8, 7.7, and 1.2% of deliveries respectively. The most frequent medical risk factors were urinary tract infection (32.5%), anemia (21.6%), and thyroid disease (4.1%).

Conclusion: More effort should be devoted by health policymakers to the establishment of a preconception counselling (health education and risk assessment) and surveillance system; although obstetrical and medical risks should not be neglected too.

Keywords: Pregnancy, Risk Factors, Women’s Health, Health Planning

Background

Improving maternal health is one of the eight goals set at the 2000 Millennium Summit to encourage development in different countries across the globe (1). Maternal mortality, as a target indicator in determining achievement of the Millennium Development Goal (MDG) 5, is not only regarded as an index to find out the quality of medical care in a certain country, but is also a sensitive indicator to discover health equity (2). In 2008, 358,000 cases of maternal mortality were reported globally, of which 99% occurred in developing countries (1). Maternal morbidity is only the tip of the iceberg, i.e. the actual rates of morbidities and complications are frequently ignored, and it must be kept in mind that ‘maternal health is more than survival’ (3). Maternal health includes physical, mental, and social well-being, all pertaining to pregnancy. Pregnant women, from different physical, social, and economic aspects, represent a vulnerable group, and furthermore, pregnancy related illness does not merely concern the pregnant women themselves but may also compromise children and family health (3). Administration of effective health interventions to improve maternal health is, accordingly, one of the major responsibilities of governments (1,3).

Based on the reports of World Health Organization, Iran is among the three countries (after Maldives and Romania) that managed to decrease maternal mortality rate (MMR) up to 80% from 1990 to 2008, in such a manner that the figure of MMR fell from 150 per one hundred thousand to 30 per one hundred thousand (1). The attained rate, however, is still a long way from that of developed countries, and therefore, planning to reduce the mentioned rate is necessary to be set as a priority (4). The first and foremost step towards promoting maternal health is increasing the evidence base, on the current circumstances of maternal health as well as the identification of pregnancy risks. High-risk pregnancy refers to a pregnancy, complicated by factors associated with increased probability of maternal and/or fetal morbidity and mortality.

Developed countries maintain ongoing collection of the data concerning pregnant women. The US has developed a surveillance system called Pregnancy Risk Assessment Monitoring System (PRAMS) in charge of recording pregnancy-related behavioural, obstetrical and medical risk factors, based on mothers’ self-report before, during, and after pregnancy (5). There are also other cases in some Western countries where maternal health related data are recorded and analysed systematically (6), whereas, reports made in developing countries are solely limited to cross-sectional studies, usually restricted to a single hospital or a certain city (7,8). In a study in Egypt on 750 pregnant women, 64% of the subjects were placed in the high-risk group (7). The amount of 55% out of the 330 studied pregnant women in a research in Niger suffered from at least one risk factor (8). To the best of our knowledge, no nationwide study has been conducted in Iran, in which pregnancy risk factors have been investigated comprehensively. The present study aims at depicting the risk factor profile in Iranian pregnant women before and during pregnancy.

Methods

Participants and settings

The protocol of the present nationwide cross-sectional study was carried out between January and March 2012 and approved by the Kerman University Research Ethics Committee (Approval code: K/90/517). Six provinces (i.e., Khorassan-e-Razavi, Kerman, Mazandaran, Sistan Bluchestan, Kordestan, and Lorestan provinces) were selected for their different geographical and cultural conditions as well as health facilities. The sampling framework consisted of all hospitals located in the centre of the selected provinces (n=51) and all hospitals located in other districts which had maternity units. Taking into account the number of births and maternal deaths, 23 hospitals were selected based on quota sampling (16 hospitals from the centre of provinces and 7 hospitals from the remainder districts). Women who gave birth or those who had a miscarriage were consecutively interviewed in a private location, subsequent to ensuring that they have reached a stable condition and have agreed to an informed consent. Since, in Iran only 3% of the total births occur at home (9), the sample obtained could be regarded as representative. A sample size of approximately 3000 subjects was required to estimate the prevalence of risk factors during pregnancy based on the results of a pilot study conducted in one of the Kerman hospitals and figures obtained from the literature (57). The sample size was calculated based on expected prevalence of important risk factors to be around 1%, considering a precision of 0.35% at 95% confidence level.

Measurement tool

Questionnaire development and validation: To develop the questionnaire and to identify pregnancies at risk, a list of pregnancy-related risk factors was compiled through an extensive literature review (5,7,10). The content validity of the questionnaire was approved by an expert panel through consensus. The expert panel consisted of 10 experts in the fields of obstetrics & gynecology, health education, community medicine, pediatrics, and women’s health.

Questionnaire: The questions of the questionnaire were categorized into four sections.

  • Baseline questions, targeting the demographic and insurance status of the individuals.

  • Questions regarding behavioural (pre-pregnancy) risks and experiences, mainly concerning the preconception stage, such as pregnancy wantedness, substance usage, adequate intake of folic acid during three month prior to conception, history of physical violence by the husband during the year leading to conception (violent behaviours including pushing, slapping, punching, etc.), history of induced abortion, history of taking psychiatric medications, and date of the first prenatal care. Unintended pregnancy was categorized to mistimed (the birth occurred earlier than desired) and unwanted (no pregnancy was desired) ones. The history of induced abortions was questioned in an attempt to investigate illegal abortions. With regard to the threatening nature of the mentioned question, the crosswise model was adopted for the calculation of abortion (11), i.e. a question was initially asked from the subject, the probability of which was already known, e.g. “Were you born in spring?” History of induced abortion was then questioned. The first two sections of the questionnaire were filled based on self-report.

  • The third section was concerned with different obstetrical problems in the recent pregnancy, complications including high parity (para ≥ 5) (12), preeclampsia, ectopic pregnancy, etc.

  • In the fourth part, underlying medical conditions such as anemia, chronic hypertension, pre-pregnancy diabetes, and urinary tract infection were addressed. Anemia referred to cases in which the maternal hemoglobin level was lower than 11 g/dl during pregnancy (12,13). Besides self-report, the third and fourth sections of the questionnaire were filled by studying the medical records of the mother as well.

  • Method of data collection and interview: As a whole, nonmedical data and data that were not mentioned in the case records were gathered by interview, and medical and laboratory data were gathered by looking at medical records. The interviews were conducted by experienced midwives subsequent to completing a training course on the principles of interviewing and the risk factors investigated in this study. To ensure their quality of interviews, 10% of the interviews were randomly assessed by field supervisors prior to patient discharge, starting from the beginning of the study.

In order to identify the relationships between the different types of risk factors (behavioural, obstetrical, and medical), forward stepwise logistic regression was employed. For each type of the three categories of pregnancy risks—as outcome variables—a logistic regression model was fitted. Sociodemographic characteristics were entered in the models as predictor variables. Hosmer-Lemeshow test was utilized for the assessment of the goodness of fit. P<0.05 was considered as significant.

Results

Sociodemographic characteristics: From the total of 3,002 women invited for the interviews, 2,993 subjects accepted to participate in the study (response rate= 99.7%). Mean (±SD) age of participants was 27.5 (±6.5) years. The majority of the subjects were housewives (Table 1), and a number of 1,131 individuals (37.8%) were in their first pregnancies.

Table 1 . Sociodemographic characteristics of the subjects (n=2993) .

Variable Frequency (%)
Age group
≤18 104 (3.5)
19–34 2543 (85.0)
≥35 346 (11.5)
Area of residence
Urban 2364 (79.0)
Rural 629 (21.0)
Women’s education level
Illiterate/Primary 787 (26.3)
Secondary 659 (22.1)
Diploma 911 (30.4)
College 636 (21.2)
Husband’s education level
Illiterate/Primary 648 (21.7)
Secondary 806 (26.9)
Diploma 891 (29.7)
College 648 (21.7)
Occupation
Household work 2630 (87.9)
Productive work 363 (12.1)
Health insurance
Yes 2824 (94.4)
No
169 (5.6)

Behavioural (pre-pregnancy) risks: Almost 1% of the subjects were opiate abusers and 7.5% experienced physical abuse by their husbands during one year leading to conception (Table 2). A total of 79.6% of the participants reported at least one behavioural risk factor.

Table 2 . Behavioral (pre-pregnancy) risks that may affect the mother and/or fetus (n=2993) .

Variable Frequency (%)
Time of first prenatal care
1st trimester 2290 (76.6)
2nd & 3rd trimester 551 (18.4)
Not at all* 149 (5.0)
Physical abuse by husband
Yes 225 (7.5)
No 2768 (92.5)
Tobacco smoking
Cigarette 27 (0.9)
Waterpipe 167 (5.6)
Both 18 (0.6)
No 2781 (92.9)
Opiate abuse
Yes 28 (0.9)
No 2965 (99.1)
Unintended pregnancy*
Mistimed 504 (16.8)
Unwanted 321 (10.7)
Previous induced abortion
Yes 431 (14.4)
No 2562 (85.6)
Adequate folic acid consumption
Yes 884 (29.5)
No 2109 (70.5)
Psychiatric drug usage
Yes 99 (3.3)
No 2894 (96.7)
Body mass index
< 18.5* 141 (4.7)
18.5-24.9 1965 (65.7)
25-29.9 627 (20.9)
≥ 30* 260 (8.7)
At least one risk factor 2383 (79.6)
*Considered as risk factor

Obstetrical (pregnancy) risks: The cesarean section was performed in 50.1% of the subjects, of which 573 subjects (19.1%) had a prior cesarean section. Less than 4% of the subjects were placed in the high parity group, and low birth weight (LBW) was observed in 7.7% of the participants (Table 3). A rate of 6.5% of them experienced preeclampsia/eclampsia (Table 3). Forty percent of participants experienced at least one obstetrical risk factor.

Table 3 . Obstetrical (pregnancy) risk factors in the participants (n=2993) .

Variable Frequency (%)
High parity 107 (3.5)
Preterm birth 204 (6.8)
Low birth weight 229 (7.6)
Stillbirth 35 (1.2)
Multiple pregnancy 57 (1.9)
Premature rupture of membrane 196 (6.5)
Preeclampsia/Eclampsia 194 (6.4)
Placenta previa 81 (2.7)
Placenta abruptio 34 (1.1)
Uterine atonia 37 (1.2)
Laceration 145 (4.8)
Retained placenta 22 (0.7)
Coagulopathy 13 (0.4)
Miscarriage 212 (7.0)
Ectopic pregnancy 14 (0.5)
Hydatiform mole 11 (0.4)
Gestational diabetes 219 (7.3)
At least one risk factor 1197 (40.0)

Medical risk factors: The most prevalent medical risk factors observed in the participants were urinary tract infection (UTI) and anemia, respectively (32.5 and 21.6 %; Table 4). Of the participants, 0.1% were HIV positive (Table 4). A total of 50.5% of women experienced at least one medical risk factor.

Table 4 . Medical risk factors in the participants (n=2993) .

Variable Frequency (%)
Anemia 646 (18.6)
Chronic hypertension 43 (1.2)
Cardiac disease 47 (1.3)
Deep vein thrombosis 13 (0.4)
Renal disease 15 (0.4)
Asthma 26 (0.7)
Diabetes 35 (1.0)
Thyroid disease 122 (3.5)
Epilepsy 20 (0.6)
Urinary tract infection 972 (28.1)
HIV + 2 (0.05)
HBS Ag + 12 (0.3)
At least one risk factor 1511 (43.7)

The relationship between sociodemographic variables and each of the three categories of risk factors are presented in Table 5. Behavioral risks were more observable in older women, residing in cities and in couples with low levels of education, while, obstetrical risks were more observable in older ages, and medical risks in subjects with lower levels of education and covered by insurance (Table 5).

Table 5 . The results of three different logistic regression models to determine the association of sociodemographic characteristics with behavioural, obstetrical, and medical risk factors of pregnancy .

Variable Crude Odds ratio Adjusted odds ratio 95% confidence interval P
Behavioural risk *
Age group
≤18 0.80 0.63 0.33–1.22 0.170
19–34 0.48 0.55 0.39–0.78 0.001
≥35 Reference Reference ---- ---
Area of residence
Urban 0.76 1.39 1.07-1.80 0.012
Rural Reference Reference ---- ---
Women’s education level
Illiterate/Primary 4.49 2.50 1.73–3.60 <0.001
Secondary 3.48 2.48 1.78–3.46 <0.001
Diploma 1.86 1.60 1.24–2.05 <0.001
College Reference Reference ---- ---
Husband’s education level
Illiterate/Primary 5.29 3.00 2.00–4.50 <0.001
Secondary 2.78 1.74 1.28–2.38 <0.001
Diploma 1.67 1.34 1.04–1.71 0.022
College Reference Reference ---- ---
Obstetrical risk *
Age group
≤18 0.42 0.42 0.26–0.66 <0.001
19–34 0.48 0.48 0.38–0.60 <0.001
≥35 Reference Reference ---- ---
Medical risk *
Women’s education level
Illiterate/Primary 1.84 2.50 1.73–3.60 <0.001
Secondary 1.50 2.48 1.78–3.46 <0.001
Diploma 1.13 1.60 1.24–2.05 <0.001
College Reference Reference ---- ---
Health insurance
No 0.79 0.66 0.48–0.92 0.012
Yes Reference Reference ---- ---
*Having at least one risk factor vs. no risk

Discussion

The prevalence of some risk factors threatening maternal and fetal health among Iranian pregnant women, especially those in the domain of preconception behavioural risk factors was in an unacceptable range. The advantage of this study was the inclusion of a comprehensive list of important risk factors from the three crucial aspects of preconception behavioural and obstetrical, as well as underlying medical conditions during pregnancy in a nationwide sample. An important limitation of this study was related to sampling strategy used. According to non-probability sampling, generalization of the results should be taken with caution.

Different studies assessing the prevalence of high-risk pregnancy in pregnant women have reached disparate results (58). With regard to the fact that the list of health problems addressed in the mentioned studies fails to follow a single model, and in particular, different age ranges and patient types can lead to differences in prevalences between countries or studies, therefore, such considerations should be taken into account before interpreting the results.

Up to delivery, 5% of women did not receive any prenatal care despite its importance, whereas, the same rate was reported as 1% in the US (10). Regarding the fact that all women in Iran have free access to reproductive health services and prenatal counselling by midwives, the pertaining rate was expected to be lower. The reason may be sought in their illness behaviour and inadequate family support, which are, per se, closely interrelated with their economic status, as well as inadequate public knowledge regarding the importance of the above gone cares. History of physical violence by husbands was reported by 7.5% of the participants. In an investigation involving 19 countries, the mentioned figure ranged from 2.0% in Australia and the Philippines to 13.5% in Uganda (14), while, the same figure was 4 and 5% respectively in Azerbaijan and Jordan (4), countries adjacent to and near Iran. Other conducted studies in Iran are, similarly, indicative of high rates of violence against pregnant women (15). Although the rate of cigarette smoking was significantly lower compared to that of western countries (5), water pipe and opiate smoking rates were considerably high (Table 2). A study in southern Iran reported that 8% of women smoked water pipe during pregnancy (16). Furthermore, Iran is considered as one of the countries with the most opium abusers (17). The prevalence of unintended pregnancy was 27.3%. Owing to the wide application of traditional contraceptive methods and considering their high failure rates, contrary to the extensive coverage of family planning in Iran (i.e., 81.5%), the prevalence of unintended pregnancies is relatively high (18). The lifetime prevalence of induced abortion was 14.4% for the present study. Despite the application of crosswise model, it seems as though the subjects refrained from telling the truth, considering that abortion is restricted in Iran, as the said figure was 29% in Australia (19), where the total abortion rate is approximately 0.57, i.e. every single female experiences an average of 0.57 abortions during her reproductive period, while the mentioned figure is estimated to be twice as much in Iran (i.e., 1.2%) (20). It can, therefore, be implicitly concluded that the interviewed subjects under-reported. Adequate preconception of folic acid intake was observed in 30% of the subjects, whereas the foregone rate was 35% in the US (5). Behavioural risk factors were generally more prevalent in subjects over 35 years of age, residing in cities, and with lower levels of education. Higher prevalence in cities is probably due to the fact that Iranian villages benefit from a more all-inclusive and quality primary health care (PHC), including reproductive healthcare, rather than cities.

The status of obstetrical risks, however, contrary to that of behavioural risks which was not desirable in most cases, showed figures relatively comparable to other studies. High parity rate was significantly lower in comparison to that of some countries in the region. In Oman, for instance, a study reported that 48.7% of women were in the high parity group (12), whereas, the obtained figure for the present study was 3.6%. The main reasons for this difference are the society’s attitude towards childbearing, employing spacing methods, and lowering total fertility rate in Iran (18). The prevalence of the two main obstetrical syndromes of preterm delivery and preeclampsia has been reported to be 5 to 9% and 3 to 8%, respectively (21), and our obtained figures fall within a similar range (Table 3). Prevalence of many obstetrical risks observed in the subjects, such as ectopic pregnancy, hydatidiform mole, and gestational diabetes fell into the range mentioned in the literature (10,22). The obtained prevalence of third- and fourth-degree perineal lacerations was lower than that reported in some countries, the main reason could be higher cesarean rate in this study (23). Prevalence of the two complications of placenta previa and placenta abruption in the studied subjects was considerably higher than that reported in other countries (10,24). The two mentioned complications are influenced by different factors including race, age, and parity, nonetheless, all these factors combined do not entirely account for such a difference in the prevalence rate. Further studies may be required to find an answer to this finding.

The prevalence of anemia in the present study was lower than that of other developing countries (between 53.8 to 90.2%), and higher than the rate reported in developed countries (25). Furthermore, the prevalence of some underlying medical conditions including cardiac and nephrological diseases, and chronic hypertension was higher compared to their prevalence in developed countries (10). It should be noted that the prevalence of asthma, pre-pregnancy diabetes, and HIV infection was higher in the US studies (10). Prevalence reports of asthma as well as HIV infection in the Iranian general population are also lower than that in the general populations of Western countries; diabetes prevalence, however, in the Iranian general population it is significantly higher, as, the prevalence of diabetes in individuals over 25 years is 7.7% (26). The younger ages of the studied pregnant women, which was restricted to childbearing age, compared to those of the general population, might be the reason for low prevalence of diabetes as a chronic disease. Moreover, population-based studies in Iran indicate that more than half of the individuals are unaware of their diabetic condition (26). Medical risk factors were, as expected, more prevalent in women with lower levels of education, since most chronic diseases are closely related to the socioeconomic status, which, per se, highlights the necessity for addressing the influential social factors on health. Contrary to the initial impression, the prevalence of these diseases was less probable in individuals not covered by insurance. Considering the existence of a wide range of insurance policies with relatively low costs in Iran, the fact that an individual is not insured indicates that he/she cannot afford to pay even the health insurance premium. It can, accordingly, be concluded that the low prevalence of chronic diseases in this group is due to their lack of referral to physicians and laboratories and their unawareness of their health status.

In sum, it can be concluded that the most prevalent risk factors in Iranian pregnant women are behavioural risk factors which are culture-based on one hand, and on the other hand can, mostly, be detected and treated at the proper time through preconception counselling (health education and risk assessment). Consequently, with regard to the weakness of the preconception counselling system in Iran, it is strongly recommended that health policymakers take the necessary measures towards promoting this absolutely important process. Feasibility studies to determine the feasibility of implementing a pre-pregnancy risk assessment tool are warranted.

Acknowledgments

We would like to express our gratitude to hospital staff for their contribution to this project. The study was financially supported by the Ministry of Health and Medical Education.

Citation: Eslami M, Yazdanpanah M, Taheripanah R, Andalib P, Rahimi A, Nakhaee N. Importance of pre-pregnancy counseling in Iran: results from the high risk pregnancy survey 2012. International Journal of Health Policy and Management 2013; 1: 213–218.

Footnotes

Ethical issues

Not applicable.

Competing interests

None.

Authors’ contributions

ME developed the idea and participated in proposal writing and drafting the manuscript. MY, RT, PA, and AR participated in designing the study protocol and developing the questionnaire. They also supervised the data acquisition and contributed to manuscript writing. NN was the principle investigator of the study protocol and substantially contributed to data analysis and manuscript writing.

References

  • 1. WHO, UNICEF, UNFPA, World Bank. Trends in maternal mortality: 1990 to 2008. Geneva: WHO; 2010.
  • 2.Ronsmans C, Graham WJ. Maternal mortality: who, when, where, and why. Lancet. 2006;368:1189–200. doi: 10.1016/S0140-6736(06)69380-X. [DOI] [PubMed] [Google Scholar]
  • 3.Filippi V, Ronsmans C, Campbell OMR, Graham WJ, Mills A, Borghi J. et al. Maternal health in poor countries: the broader context and a call for action. Lancet. 2006;368:1535–41. doi: 10.1016/S0140-6736(06)69384-7. [DOI] [PubMed] [Google Scholar]
  • 4.Azemikhah A, Amirkhani MA, Jalilvand P, Emami Afshar N, Radpooyan L, Changizi N. Maternal mortality surveillance system in Iran. Iran J Public Health. 2009;38:90–2. [Google Scholar]
  • 5.D’Angelo D, Williams L, Morrow B, Cox S, Harris N, Harrison L. et al. Preconception and interconception health status of women who recently gave birth to a live-born infant—pregnancy risk assessment monitoring system (PRAMS),United States, 26 reporting areas, 2004. MMWR. 2007;56:1–35. [PubMed] [Google Scholar]
  • 6.Amelink-Verburg MP, Verloove-Vanhorick SP, Hakkenberg RM, Veldhuijzen IM, Bennebroek Gravenhorst J, Buitendijk SE. Evaluation of 280 000 cases in Dutch midwifery practices: a descriptive study. BJOG. 2008;115:570–8. doi: 10.1111/j.1471-0528.2007.01580.x. [DOI] [PubMed] [Google Scholar]
  • 7.Yassin SA, Gamal El-Deen AA, Emam MA, Omer AK. The profile of high-risk pregnancy in El-Mansoura city. J Egypt Public Health Assoc. 2005;80:687–706. [PubMed] [Google Scholar]
  • 8.Prual A, Toure A, Huguet D, Laurent Y. The quality of risk factor screening during antenatal consultations in Niger. Health Policy Plan. 2000;15:11–6. doi: 10.1093/heapol/15.1.11. [DOI] [PubMed] [Google Scholar]
  • 9.Rashidian A. [Iran’s Multiple Indicator Demographic and Health Survey (IrMIDHS)] Tehran: Ministry of Health and Medical Education; 2010. [Google Scholar]
  • 10. Cunningham FG, Leveno KJ, Bloom SL. Prenatal care. In: Cunnigham FG, Leveno KL, Bloom SL, Hauth J, Rouse D, Spong C, eds. Williams Obstetrics. 23rd ed. New York: McGraw-Hill; 2010.
  • 11.Yu JW, Tian GL, Tang ML. Two new models for survey sampling with sensitive characteristic: design and analysis. Metrika. 2008;67:251–63. [Google Scholar]
  • 12.Al-Farsi YM, Brooks DR, Werler MM, Cabral HJ, Al-Shafei MA, Wallenburg HC. Effect of high parity on occurrence of anemia in pregnancy: a cohort study. BMC Pregnancy Childbirth. 2011;11: 7. doi: 10.1186/1471-2393-11-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bencaiova G, Burkhardt T, Breymann C. Anemia—prevalence and risk factors in pregnancy. Eur J Intern Med. 2012;23:529–33. doi: 10.1016/j.ejim.2012.04.008. [DOI] [PubMed] [Google Scholar]
  • 14.Devries KM, Kishor S, Johnson H, Stöckl H, Bacchus LJ, Garcia-Moreno C. et al. Intimate partner violence during pregnancy: analysis of prevalence data from 19 countries. Reprod Health Matters. 2010;18:158–70. doi: 10.1016/S0968-8080(10)36533-5. [DOI] [PubMed] [Google Scholar]
  • 15.Salari Z, Nakhaee N. Identifying types of domestic violence and its associated risk factors in a pregnant population in Kerman hospitals, Iran. Asia-Pacific J Public Health. 2008;20:49–55. doi: 10.1177/1010539507308386. [DOI] [PubMed] [Google Scholar]
  • 16.Mirahmadizadeh A, Nakhaee N. Prevalence of waterpipe smoking among rural pregnant women in Southern Iran. Med Princ Pract. 2008;17:435–9. doi: 10.1159/000151563. [DOI] [PubMed] [Google Scholar]
  • 17.Nakhaee N, Divsalar K, Meimandi MS, Dabiri S. Estimating the prevalence of opiates use by unlinked anonymous urine drug testing: A pilot study in Iran. Subs Use Misuse. 2008;43:513–20. doi: 10.1080/10826080701772348. [DOI] [PubMed] [Google Scholar]
  • 18.Motlaq ME, Eslami M, Yazdanpanah M, Nakhaee N. Contraceptive use and unmet need for family planning in Iran. Int J Gynaecol Obstet. 2013;121:157–61. doi: 10.1016/j.ijgo.2012.11.024. [DOI] [PubMed] [Google Scholar]
  • 19.Chan A, Keane RJ. Prevalence of induced abortion in a reproductive lifetime. Am J Epidemiol. 2004;159:475–80. doi: 10.1093/aje/kwh070. [DOI] [PubMed] [Google Scholar]
  • 20.Henshaw SK, Singh S, Haas T. The Incidence of Abortion Worldwide. Int Fam Plann Persp. 1999;25:S30–8. [PubMed] [Google Scholar]
  • 21.Torricelli M, Voltolini C, De Bonis M, Vellucci FL, Conti N, Severi FM. et al. The identification of high risk pregnancy: a new challenge in obstetrics. J Matern Fetal Neonatal Med. 2012;25:2–5. doi: 10.3109/14767058.2012.664355. [DOI] [PubMed] [Google Scholar]
  • 22.Ferrara A. Increasing prevalence of gestational dabetes mellitus: a public health perspective. Diabetes Care. 2007;30:S141–6. doi: 10.2337/dc07-s206. [DOI] [PubMed] [Google Scholar]
  • 23.Hirayama F, Koyanagi A, Mori R, Zhang J, Souza JP, Gülmezoglu AM. Prevalence and risk factors for third- and fourth-degree perineal lacerations during vaginal delivery: a multi-country study. BJOG. 2012;119:340–7. doi: 10.1111/j.1471-0528.2011.03210.x. [DOI] [PubMed] [Google Scholar]
  • 24.Kim LH, Caughey AB, Laguardia JC, Escobar GJ. Racial and ethnic differences in the prevalence of placenta previa. J Perinatol. 2012;32:260–4. doi: 10.1038/jp.2011.86. [DOI] [PubMed] [Google Scholar]
  • 25.Bruno B, McLean E, Egli I, Cogswell M. Worldwide prevalence of anaemia 1993-2005 : WHO global database on anaemia. Geneva: WHO; 2008. [Google Scholar]
  • 26.Esteghamati A, Gouya MM, Abbasi M, Delavari A, Alikhani S, Alaedini F. et al. Prevalence of diabetes and impaired fasting glucose in the adult population of Iran. Diabet Care. 2008;31:96–8. doi: 10.2337/dc07-0959. [DOI] [PubMed] [Google Scholar]

Articles from International Journal of Health Policy and Management are provided here courtesy of Kerman University of Medical Sciences

RESOURCES