I will first look at the CDC website for credible and factual data. It provides a wealth of information about women’s health (Women’s health, 2022). This data can be used to understand further how women’s health is affected by factors such as age, race, income level, and education level (Woodworth et al., 2021). In addition, I will look at the AWHONN website, which also gives sufficient and detailed information on maternal and child (AWHONN back to basics, n.d.). This data can be used to analyze how these factors affect maternal-child health outcomes in different regions worldwide (Maji & Dixit, 2019). The peer-reviewed articles from professional journals listed on both sites will provide more context for my analyses (Wahlang, 2018). These sources have valuable information that can help me make sense of the overall state of maternal-child health globally; for example, they address key challenges facing women’s reproductive healthcare worldwide.
I will then analyze the data by looking at it through root cause analysis. According to experts, it is “a structured method used to analyze serious adverse events” (Root cause analysis, 2019). Luckily, there are already well-developed and convenient frameworks for its practical application (Framework for root cause analysis, n.d.). It would allow me to clarify and look deeper into the correlation between intimate partner violence and lower chances of receiving antenatal care (Musa et al., 2019). Another tool I will employ is the Model for Improvement. Scholars note that it is “a simple yet powerful tool for accelerating improvement” (Science of improvement, n.d.). It is a high-quality analytical tool suitable for developing research hypotheses and solutions and improving personal goal-setting and decision-making.
References
AWHONN back to basics: Foundations for mindful care. (n.d.). AWHONN. Web.
Framework for root cause analysis and corrective actions*. (n.d.). The Joint Commission. Web.
Maji, S., & Dixit, S. (2019). Self-silencing and women’s health: A review. International Journal of Social Psychiatry, 65(1), 3-13. Web.
Musa, A., Chojenta, C., Geleto, A., & Loxton, D. (2019). The associations between intimate partner violence and maternal health care service utilization: A systematic review and meta-analysis. BMC Women’s Health, 19(1), 1-14. Web.
Root cause analysis. (2019). Patient Safety Network – Agency for Healthcare Research and Quality. Web.
Science of improvement: How to improve. (n.d.). Institute for Healthcare Improvement. Web.
Wahlang, B. (2018). Exposure to persistent organic pollutants: Impact on women’s health. Reviews on Environmental Health, 33(4), 331–348. Web.
Women’s health. (2022). Centers for Disease Control and Prevention. Web.
Woodworth, K. R., Reynolds, M. R., Burkel, V., Gates, C., Eckert, V., McDermott, C., Barton, J., Wilburn, A., Halai, U., Brown, C. M., Bocour, A., Longcore, N., Orkis, L., Lopez, C. D., Sizemore, L., Ellis, E. M., Schillie, S., Gupta, N., Bowen, V. B.,… Gilboa, S. M. (2021). A preparedness model for mother-baby linked longitudinal surveillance for emerging threats. Maternal and Child Health Journal, 25(2), 198–206.