Miscarriage and Abortion Among Women Attending Harm Reduction Services in Philadelphia: Correlations With Individual, Interpersonal, and Structural Factors.
Joy D ScheidellJanna AtaiantsStephen E LankenauPublished in: Substance use & misuse (2022)
Background: Reproductive health research among women who use drugs has focused on pregnancy prevention and perinatal/neonatal outcomes, but there have been few investigations of miscarriage and abortion, including prevalence and associated factors. Methods: Using cross-sectional data from a sample of non-pregnant women receiving harm reduction services in Philadelphia in 2016-2017 we examined lifetime miscarriage and abortion (n = 187). Separately for both outcomes, we used modified Poisson regression to estimate prevalence ratios (PR) and 95% confidence intervals (CI) for associations with each correlate. We also explored correlates of reporting both miscarriage and abortion. Results: Approximately 47% experienced miscarriage, 42% experienced abortion, and 18% experienced both. Miscarriage correlates included: prescription opioid misuse (e.g., OxyContin PR 1.82, 95% CI 1.23, 2.69); 40% increase in prevalence associated with housing instability, 50% increase with survival sex, and two-fold increase with arrest. Abortion correlates included: mental health (e.g., depression PR 2.09, 95% CI 1.18, 3.71), stimulant use (e.g., methamphetamine PR 1.83, 95% CI 1.22, 2.74), and drug injection (PR 1.76, 95% CI 1.03, 3.02); partner controlling access to people/possessions, physical and emotional violence; and a two-fold increase associated with survival sex and arrest. Experiencing both reproductive outcomes was correlated with mental health, opioid and simulant use, housing instability, survival sex, and arrest. Conclusion: Miscarriage and abortion was common among women with history of drug misuse suggesting a need for expanded access to family planning, medication-assisted therapy, and social support services, and for the integration of these with substance use services. Future research in longitudinal data is needed.
Keyphrases
- mental health
- mental illness
- pregnant women
- healthcare
- social support
- chronic pain
- primary care
- acute lymphoblastic leukemia
- cross sectional
- risk factors
- depressive symptoms
- pregnancy outcomes
- polycystic ovary syndrome
- cell cycle
- adverse drug
- electronic health record
- stem cells
- type diabetes
- cell proliferation
- big data
- free survival
- machine learning
- metabolic syndrome
- mesenchymal stem cells
- ultrasound guided
- hiv testing