Pathways to reproductive autonomy: Using path analysis to predict family planning outcomes in the United States.
Laura E T SwanShelby E McDonaldSarah K PricePublished in: Health & social care in the community (2022)
In the United States, about half of pregnancies are unintended, and most women of reproductive age are at risk of unintended pregnancy. Research has explored predictors of contraceptive use and unintended pregnancy, but there is a lack of research regarding access to preferred contraceptive method(s) and the complex pathways from sociodemographic factors to these family planning outcomes. This study applied Levesque et al.'s (2013) healthcare access framework to investigate pathways from sociodemographic factors and indicators of access to family planning outcomes using secondary data. Data were collected at four time points via an online survey between November 2012 and June 2014. Participants were US women of reproductive age who were seeking to avoid pregnancy (N = 1036; M age = 27.91, SD = 5.39; 6.9% Black, 13.6% Hispanic, 70.2% white, 9.4% other race/ethnicity). We conducted mediational path analysis, and results indicated that contraceptive knowledge (β = 0.116, p = 0.004), insurance coverage (β = 0.423, p < 0.001), and relational provider engagement (β = 0.265, p = 0.011) were significant predictors of access to preferred contraceptive method. Access to preferred contraceptive method directly predicted use of more effective contraception (β = 0.260, p < 0.001) and indirectly predicted decreased likelihood of experiencing unintended pregnancy via contraceptive method(s) effectiveness (β = -0.014, 95% confidence interval: -0.041, -0.005). This study identifies pathways to and through access to preferred contraceptive methods that may be important in determining family planning outcomes such as contraceptive use and unintended pregnancy. This information can be used to improve access to contraception, ultimately increasing reproductive autonomy by helping family planning outcomes align with patients' needs and priorities.
Keyphrases
- pregnancy outcomes
- preterm birth
- healthcare
- randomized controlled trial
- primary care
- polycystic ovary syndrome
- metabolic syndrome
- mental health
- end stage renal disease
- skeletal muscle
- machine learning
- social media
- cross sectional
- insulin resistance
- deep learning
- cervical cancer screening
- affordable care act
- patient reported