Wealth and Healthcare can Save Pregnant Women
Study of the Effects of Wealth and Access to Healthcare on the Pregnancy and Delivery Process for Yemeni Woman
Study of the Effects of Wealth and Access to Healthcare on the Pregnancy and Delivery Process for Yemeni Woman
Map of Yemen
Top Left: Haid Al-Jazil, Top Right: Sana'a, Bottom: Ibb
Yemen, a Middle Eastern country on the Arabian Peninsula, is home to over 30 million people, including 15 million Yemeni women. Nearly 65% of the population reside in rural areas, away from densely populated cities. As the population of Yemen is rapidly increasing (by 58% since 1994), a majority of the population is under the age of 30 (Burrowes, 2021).
In 2012-2013, The Yemen National Health and Demographic Survey used cluster sampling to survey nearly 25,000 Yemeni Households from all 20 governorates of the Republic of Yemen. Through these surveys, the Ministry of Public Health and Population, or MOPHP, examined public health and welfare issues in Yemen. While being considered one of the poorest countries in the Middle East and North Africa, the GDP per capita was roughly $1,343 in 2013. Approximately 54% of the population lives in poverty, making less than $2 dollars a day. In the National Health and Demographic Survey, each wealth quintile consisted of 20% of the surveyed households, around 57% of Yemeni households in rural areas fall in the lowest two wealth quintiles but 90% of whereas urban residents fall in the two highest wealth quintiles (Yemen National Health and Demographic Survey 2015:1-13). According to The World Bank, the cost of healthcare is the “single most important reason” that poorer families do not seek care when they are ill. Overall, the poor spend less of their money on health care than the non-poor (“Poverty in Yemen”, 2010).
With the use of the Yemen National Health and Demographic Survey 2013, I’ve attempted to understand the effects of wealth and access to healthcare on Yemen maternal complications. Responses from around 10,000 women, aged 15-49, who had a child between 2009-2013 were utilized for this project. The data collected focused on complications from the most recent pregnancy and delivery process. Outcome variables were separated into two different categories: Pregnancy Complications and Delivery Complications.
Dependent Variables
To analyze whether or not healthcare was utilized during pregnancy/delivery, women were asked if they received antenatal care. If so, the surveyor continued by asking what types of care they received and how many times they visited the facility. The components of antenatal care included taking blood and urine samples, recording blood pressure, and taking iron supplements. All women were asked about the types of barriers they faced that prevented them or made it difficult for them to receive healthcare. These barriers include permission to receive care (from spouse or family member), lack of money to afford care, distance from the health facility, going alone to a healthcare provider, or no female physician to provide care. Independent variables used were separated into four different categories: Wealth, Barriers to Healthcare, Antenatal care, and Components of Antenatal Care.
Independent Variables
With the data collected from the survey, I used a logistic regression analysis to examine the association between each independent variable and a given outcome. Bar graphs and visual representations of logistic regressions present the significance and the effects of wealth and access to healthcare on maternal complications. The following sections will display findings from the research.
Number of Women Observed: ~10,112
This visual demonstrates that women who got their blood pressure taken or noted money as a barrier to healthcare were more likely to experience high blood pressure during their pregnancy. Although all wealth quintiles were negatively correlated with high blood pressure, respondents of the higher quintiles were less likely to experience high blood pressure than the lower quintiles.
Respondents in the richest, richer, and middle quintiles were less likely to experience convulsions than respondents in the poorer quintiles. Receiving prenatal care and taking iron tablets during pregnancy were positively correlated with experiencing convulsions.
Similar to experiencing high blood pressure, respondents of all wealth quantities were negatively correlated with experiencing headaches, yet respondents of the higher quintile were less likely to experience high blood pressure than the lower quintiles. Lack of money for healthcare increased the likelihood of experiencing headaches. Additionally, receiving prenatal care and taking iron tablets/syrup resulted in a 19-21% increase in experiencing headaches.
All wealth quintiles were negatively correlated with swelling/edema, but respondents of the higher three quintiles were less likely to experience swelling/edema than the lower quintile. Permission as a barrier to healthcare resulted in a 16% increase in experiencing swelling/edema. Lastly, receiving prenatal care and taking iron tablets/syrup increased the chances of experiencing swelling/edema by 36% and 21% respectively.
Number of Women Observed: ~10,085
All wealth quintiles were negatively correlated with convulsions during delivery, but respondents of the higher three quintiles were less likely to experience this complication than the lower quintile. Permission, money, and going alone as a barrier to healthcare increased the chances of experiencing a high fever by 18%, 22%, 30% respectively. Lastly, receiving antenatal care also increased the likelihood of experiencing this complication by 25%
All wealth quintiles were negatively correlated with convulsions during delivery, but respondents of the higher three quintiles were less likely to experience this complication than the lower quintile. Going alone increased the possibility of experiencing convulsions by 50%, yet getting blood pressure taken and consistently taking iron tables/syrup were negatively correlated with experiencing convulsions during pregnancy.
All wealth quintiles were negatively correlated with excessive bleeding, but respondents of the higher three quintiles were less likely to experience this complication than the lower quintile. Permission as a barrier to healthcare and receiving prenatal care increased the chances of experiencing excessive bleeding by 13% and 37% respectively.
Respondents in the richest, richer, and middle quintiles were less likely to experience convulsions than respondents in the poorer quintiles. Permission, money, and no female provider all increased the likelihood of having prolonged labor. Receiving prenatal care increased the likely hood of having prenatal care by 52%.
Although most wealth quintiles were negatively correlated with each pregnancy and delivery complication, respondents from poor households were more likely to experience complications than those from non-poor households. Having high blood pressure during pregnancy and high fever during delivery were statistically significant with money being a barrier to healthcare. Each complication being positively correlated with this particular barrier indicates that lack of money for healthcare increased the likelihood of experiencing these health issues.
The following complications were statistically significant and positively correlated with receiving antenatal care: Headaches, swelling/edema, high fever, excessive bleeding, prolonged labor, and convulsions (during pregnancy). Receiving antenatal care enabled doctors to identify and/or treat health complications that would have otherwise gone unnoticed. It is likely that the positive correlation between these variables is a result of doctors detecting or women experiencing these complications, therefore they are more likely to seek treatment/tests for it.
There were no major patterns involving the components of antenatal care and any complication/outcome.
Although the logistic regression used for this project helped examine the probability of a complication occurring as a result of wealth status and/or healthcare provided, it does not determine the exact causes of these complications. Other contributing factors such as genetic predisposition, past health history, and current living conditions were not accounted for.
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