Review of socioeconomic risk factors for cesarean births: a population-based study.

A cesarean section (CS) is a life-saving procedure when pregnancy or labor complications arise. However, the incidence of CS has increased significantly and steadily over the past two decades, causing concern among various health professionals, institutions, and nations ( 1 ). Although CS is considered a routine surgical procedure, there are risks involved. Numerous immediate, short-term, and long-term health effects and complications have been documented. These may also have long-term effects on future pregnancies, in addition to their effects on women and their children. Compared to women who deliver vaginally, women with CS experience higher rates of morbidity and mortality (VD). Women who undergo CS are at risk for a variety of adverse outcomes, including mortality, ICU admission, hysterectomy, anemia, blood transfusions, uterine rupture, placental abnormalities, and long-term effects on their fertility ( 2 , 3 ). Newborns with CS are more likely to develop allergies, asthma, and type 1 diabetes, and they are at risk for developing shortness of breath ( 4 , 5 ). Consequently, reducing the number of CS is gaining popularity among healthcare planners. This objective can be attained by understanding the causes of the rise in CS. In addition to medical factors, non-medical factors, such as the varied changes in maternal features over the past few decades, as well as social and cultural factors, may also be to blame ( 6 ). The goal of our study was to find out how different mother characteristics and socioeconomic factors affect CS rates.

This is a retrospective longitudinal study in Qatari government hospital facilities utilizing maternal and neonatal registries with data bridging the perinatal-postnatal period. Data for this study were taken from the Qatar Perinatal Registry, which was developed in 2011 and resumed as the Qatar Pearl Peristat Registry in 2016 funded by the Qatar National Research Fund [QNRF] and sponsored by the Hamad Medical Corporation Medical Research Center. The registry includes information from all Qatari provincial hospitals with obstetric units covering both the prenatal and postnatal phases. To investigate the short- and long-term health condition of both mothers and neonates, the registry seeks to use patient records. To improve the outcomes for the Qatari population’s reproductive health, this study also aims to look at the development of particular sub-cohorts. The first part of the register covers the birth cohort from 2011–2012, with 35,000 births, and the second phase covers the birth cohort from 2017–2019, with 35,000 births nationwide. Because the register only represents less than 10% of all deliveries in Qatar and does not make use of the same electronic health record system, we omitted instances from the private sector. A common electronic medical record (EMR Cerner ® ) that links all state hospitals serves as the source of the first registration data collection. To address the social status of pregnant women, social data questionnaires given out after birth are also utilized to gather socioeconomic and demographic health data. The research team for the registry is made up of 12 skilled research assistants who are responsible for gathering patient data from families (social data) or EMRs (electronic clinical data Cerner ® ), under the direction of a full-time qualified researcher. It has been constructed. Each factor was divided into optimal socioeconomic settings (control) and less optimal settings (risk factors). Socioeconomic factors include the mother’s nationality (national vs. resident), religion (Muslim vs. non-Muslim), educational level (high vs. non-Muslim), mother’s occupation (housewife vs. employed), and family income (high vs. employed). low), placement (separate vs. shared), consanguinity (none vs. yes), preterm birth (≥ 20 years vs. <20 years), high-risk pregnancy (none vs. yes), smoking (none vs. yes), Assisted conception (no vs. yes), prenatal care (yes vs. no), and place of birth (Level 3 referral hospitals vs. Level 1 and 2 hospitals).

60,728 births ≥ 24 weeks’ gestation were included in the analysis. 11,444 were labelled as high risk pregnancies. Most women (51,782) delivered in Women’s Wellness and Research Centre. Few women (3,773) had no antenatal care. 17,535 women delivered by CS (28.9%). Women with university-level education and above were more likely to deliver by CS (61%) as compared to illiterate women or women with basic education at elementary or secondary levels (OR 0.73, CI 95%; P: <0.0001). Working women were likely to deliver by CS (OR 1.40, CI 95%, P: <0.0001). Women living in rented houses were less likely to achieve a normal delivery (71.8%) (OR 1.40, CI 95%, P: 20 years old (P; <0.0001). Smoking was associated with lower chances of VD, 42.4% of smokers delivered by CS as compared to 28.3% of non-smokers (OR 1.87, CI 95%, P value <0.0001). Assisted conception was associated with higher CS rates as compared to spontaneous conceptions (OR 0.39; P: <0.0001). We found no statistically significant differences in the mode of delivery regarding nationality, paternal occupation, and maternal income. We found no statistically significant differences concerning nationality, paternal occupation, marital status, and maternal income ( Table 1 ). Socioeconomic factors data analysis.

Our population sample is large (60,728 women) and diverse, with ex-patriots of various nationalities (12,464 women), more than double the number of Qatari people (5,071 women). This sample is also representative of the majority of the total population. Cost as a contributing factor to the highly complex socioeconomic equation is largely eliminated in our study. This is because health care at our facilities is almost free or very low cost for everyone regardless of nationality. This variable may confound other socioeconomic variables in many other studies. The combination of the above in medical facilities with the same HCP helps reduce differences in expertise when studies are conducted in different hospitals or geographies. Since we operate an on-call system and do not have specific physicians available for patients, physician availability has little impact on the facility. These factors strengthen our study with many of the confounding factors of other studies, such as: For example, differences in physician expertise, maternal costs, accessibility to health care, and convenience of physicians do not apply to our study. Some limitations need to be noted regarding our study. It would have been more useful to stratify CS rates with different age groups. To analyze elective versus emergency section. Another is further analysis of assisted reproductive technologies (ART) into multiple sections ranging from mere ovulation induction to in-vitro fertilization.

Globally, the CS rate nearly tripled between 1990 and 2014, from 6.7% to 19.4%. However, rates vary from country to country and even between hospitals within the same nation. Compared to others, the growth rates of some nations were exceptionally high. In Egypt, the prevalence of CS increased dramatically from 4.6% in the 1990s to 51.8% in 2014. Romania had the largest increase in Europe. In Latin America, from 7.2% to 36.3%. Mexico, Colombia, and the Dominican Republic experienced the greatest increases in CS incidence rates ( 1 , 8 ). Multiple variables have contributed to the rise in CS rates. Providers of healthcare must comprehend the underlying causes of the CS increase in their patient population and make every effort to optimize these rates ( 9 ). Multiple medical explanations have been proposed for this increase. However, medical and health-related factors cannot fully account for the vast variation in rates across nations ( 1 , 9 , 10 ). Social, economic, religious, and cultural factors may play a larger role than previously believed. Considering this, the purpose of the study was to examine the effect of various socioeconomic factors on CS rates among 60,728 births ≥ 24 weeks gestation. In our study, 17,535 women gave birth via caesarean section, while 43,193 delivered normally. The prevalence of CS was 28.9% in our study population. In our study, women with a bachelor’s degree or higher and women who were employed were more likely to deliver by cesarean section than illiterate women or women with elementary or secondary education. The prevalence of CS among women with a higher level of education and employment was 30.4% and 32.8%, respectively. This was statistically significant in comparison to the CS rates of women with less education (23%) and housewives (25.9%). This finding supports the work of other studies in this area where increased cesarean section rates are associated with the mothers’ higher education ( 11 , 12 ). It is plausible that more educated women feel more empowered to choose a CS that they will confidently stand by. Moreover, by being more aware of the potential risks, they may select a CS for better safety for the baby and less pelvic floor trauma ( 13 ). However, what still needs to be defined is the proportion of that increase related to other factors such as wealth, inherent differences in risk in these women, ease of access to health services, and physician biases ( 11 , 12 ). One of the strengths of our study is that access to healthcare services is nearly free for all, limiting the bias from other factors such as wealth and physician economic considerations. In our study, the rate of CS was nearly double in women > 20 years old (29.3%) as compared to those < 20 years old (13.4%). The OR for a VD was 0.37 (0.32-0.43). This is statistically significant. Although the reasons for this can be multifactorial, older women tend to have more comorbidities, which can contribute to a CS. This finding agrees with other studies, where the overall CS increased with increasing maternal age ( 14 , 15 ). In our study, women who smoke tended to achieve lower chances of VD and statistically more CS rates. 42.4% of smokers delivered by CS compared to 28.3% of non-smokers (OR 1.87, CI 95%, P: <0.0001). Smoking increases the risk of intrauterine growth restriction, low birth weight babies, and preterm delivery. All can complicate a normally going pregnancy and increase CS rates ( 16 , 17 ) and the risk of fetal compromise during labor leading to increased operative delivery rates via instrumental delivery and CS ( 18 ). In our study, women with a high-risk pregnancy and having routine antenatal care were more likely to deliver by a CS as compared to women with low-risk pregnancies and those with limited antenatal care. One step to decrease CS rates is to limit CS in low-risk pregnancies ( 19 ). Women living in rented houses were less likely to achieve a normal delivery (71.8%) as compared to women living in owned houses (74.7%; P: <0.0001. The rate of CS in rented houses was 28.2% compared to owned houses (25.3%), which was statistically significant. Living in an apartment or villa was associated with more CS rates (28.5%) than living in a ‘popular house’ (21.6%), which sometimes refers to a house where many families live. Higher socioeconomic status may perceive CS as a more prestigious option ( 11 ). In our study, assisted conception was associated with higher CS rates as compared to spontaneous conceptions (OR 39; P: <0.0001). The CS rate among women who achieved pregnancy via assisted conception was only 13.2% compared to women who spontaneously conceived (27.8%). This finding is broadly consistent with other studies. These women are usually older and have comorbidities such as endometriosis, obesity, diabetes, hypertension, and previous surgeries, complicating the pregnancy and contributing to the higher CS rates ( 20 - 23 ). We found no statistically significant differences in the mode of delivery concerning nationality or paternal occupation and maternal income. This is in contrast to other studies which have linked the increased CS rate with higher family income, insured mothers and delivery in private health care facilities, and increased profitability ( 24 - 26 ). Many of these factors do not apply to our institution, where delivery is at low cost or free for all, irrespective of socioeconomic status or nationality. This can also be one of the strengths of our study, as cost and lack of resources probably contribute very little to the increased CS in our widely diverse population.

Higher education, women who were employed, smoking, and living in rented houses were some of the socioeconomic factors associated with the women who were delivered by CS in our population. Furthermore, women who had regular antenatal care were more at risk for delivery by a cesarean section which could be related to other comorbidities increasing the likelihood of cesarean birth rather than the antenatal care itself. Unlike previously published reports, assisted reproduction did not seem to contribute to cesarean delivery in our population. There is considerable evidence to suggest an increased role of socioeconomic factors in the rise of CS rates, which appear independent of medical indications. More in-depth studies are needed to quantify this role. These factors can differ from one healthcare system to another. Tailoring health services to target the factors for a particular population cohort is essential in counselling and optimizing CS rates.

Collected data is analyzed and stored in a specially designed program created by Dendrite® database solutions. The analysis is performed in both Dendrite ® and SPSS ® version 22. Records for the cesarean section are retrieved from the PEARL-Peristat Registry in Excel format. Data for a total of 60,728 births are recovered following which extreme or aberrant maternal age, birth weight, or gestational ages are removed from the dataset. Test cases from some years and additional records are also removed for various reasons. There are a total of 60,728 births used finally; (19166 preterm and 41,562 term newborns). Mode of delivery is examined within the following cohorts: year of delivery, nativity (Native vs. Expatriates), maternal age at delivery, newborn gender, and the duration of pregnancy. For each group examined, frequencies and percentages or percentiles are calculated. Differences in proportion are tested using Pearson’s Chi-square test with statistical significance set at P value < 0.05. Results are presented in the table. Confidence interval (CI) and odds ratio (OR) ( 7 ). The rate centile was calculated as the number of LBW divided by the number of LBW plus NBW expressed as 100%.