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Virtual care models enhance access and engagement for pregnant patients with substance use disorders. These digital health solutions improve care continuity and outcomes, despite some technological challenges.

Keywords:
pregnancysubstance usesubstance use disordertelemedicinevirtual care

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Area of Science:

  • Perinatal Health
  • Digital Health
  • Substance Use Disorder Treatment

Background:

  • Substance use disorder (SUD) poses significant risks during pregnancy and the postpartum period.
  • Traditional care models face barriers in accessibility and engagement for this population.
  • Virtual care models offer a promising avenue to address these challenges.

Purpose of the Study:

  • To evaluate the evidence for virtual care models in treating pregnant and postpartum patients with SUD.
  • To guide healthcare providers on the effective integration of virtual care into clinical practice.

Main Methods:

  • Systematic review of literature from 2015-2025 on virtual care for SUD in pregnancy.
  • Evaluation of effectiveness, acceptability, and feasibility of virtual care interventions.
  • Assessment of clinical outcomes, patient engagement, provider experiences, and system considerations.
  • Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach used for evidence and recommendations.

Main Results:

  • Virtual care significantly improves access, engagement, and continuity of care for perinatal patients with SUD.
  • Benefits include enhanced accessibility, reduced stigma, and greater flexibility, especially for underserved populations.
  • Challenges involve variable technology access, privacy concerns, and the need for provider training.
  • Potential long-term cost offsets through improved maternal and neonatal outcomes.

Conclusions:

  • Virtual care, particularly hybrid models, is effective in improving outcomes for pregnant and postpartum individuals with substance use disorders.
  • Integration of virtual care enhances treatment accessibility and patient engagement.
  • Addressing technological and training barriers is crucial for widespread adoption and optimal impact.