A novel digital hybrid care model for maternal mental health: preliminary findings from a matched retrospective cohort study.
7 affiliations
- 1Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, USA.
- 2Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- 3Zucker Hillside Hospital, Glen Oaks, NY, USA.
- 4College of Nursing, University of Nebraska Medical Center, Omaha, NE, USA.
- 5Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA.
- 6Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA. [email protected].
- 7Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02115, USA. [email protected].
Abstract
Background
Perinatal mood and anxiety disorders are among the most common complications of pregnancy and the postpartum period, while access to timely, evidence-based mental health care remains limited. Although smartphone applications may help extend access to care, recent research highlights notable limitations, including variable quality and unclear effectiveness. Hybrid care models, which integrate asynchronous app use with synchronous clinician-delivered care, have therefore emerged as a promising alternative. This study examined one such model, the Digital Clinic, to assess its potential to help bridge this treatment gap by analyzing clinical outcomes among peripartum women receiving care for anxiety and depressive symptoms.Methods
Pregnant and postpartum women referred for anxiety and depression of peripartum onset received 8 weeks of synchronous, virtual, evidence-based CBT from a trained clinician. This treatment was complemented by the asynchronous use of the mindLAMP app, providing digital phenotyping, psychoeducation, and CBT skills, with the support of a Digital Health Navigator. Preliminary clinical outcomes were assessed by comparing GAD-7 and PHQ-9 scores from intake to the completion of the treatment course.Results
This preliminary matched retrospective cohort study included 13 peripartum and 39 matched non-peripartum patients receiving care through the Digital Clinic. Among the peripartum cohort, GAD-7 scores decreased from 14.4 (SD = 5.0) at intake to 5.5 (SD = 4.3) at treatment completion, corresponding to a significant mean reduction of 8.9 points (SD = 4.8; p < 0.01; d = -1.91, 95% CI: -2.89 to -0.93). PHQ-9 scores decreased from 9.3 (SD = 5.9) to 5.6 (SD = 4.8), corresponding to a mean reduction of 3.7 points (SD = 6.3); however, this change did not reach statistical significance (p = 0.055; d = -0.68, 95% CI: -1.41 to 0.05).Conclusion
The Digital Clinic, a hybrid care model, was associated with reductions in anxiety symptoms and less conclusive reductions in depressive symptoms among pregnant and postpartum women. This approach to maternal mental health holds promise for delivering accessible, evidence-based care to peripartum patients in real-world settings. Future research efforts should further evaluate its effectiveness in larger, more diverse patient populations, including those with more moderate to severe symptoms.
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BibTeX
@article{calvert2026novel,
title = {{A novel digital hybrid care model for maternal mental health: preliminary findings from a matched retrospective cohort study.}},
author = {Elombe Calvert and Kelly Chen and Khatiya Chelidze Moon and Margaret R Emerson and Natalie Feldman and Catherine Lager and John Torous},
journal = {BMC pregnancy and childbirth},
year = {2026},
month = jul,
doi = {10.1186/s12884-026-09370-0},
url = {https://europepmc.org/article/MED/42897493},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - A novel digital hybrid care model for maternal mental health: preliminary findings from a matched retrospective cohort study.
AU - Elombe Calvert
AU - Kelly Chen
AU - Khatiya Chelidze Moon
AU - Margaret R Emerson
AU - Natalie Feldman
AU - Catherine Lager
AU - John Torous
PY - 2026
DA - 2026/07/01
JO - BMC pregnancy and childbirth
DO - 10.1186/s12884-026-09370-0
UR - https://europepmc.org/article/MED/42897493
AB - Background Perinatal mood and anxiety disorders are among the most common complications of pregnancy and the postpartum period, while access to timely, evidence-based mental health care remains limited. Although smartphone applications may help extend access to care, recent research highlights notable limitations, including variable quality and unclear effectiveness. Hybrid care models, which integrate asynchronous app use with synchronous clinician-delivered care, have therefore emerged as a promising alternative. This study examined one such model, the Digital Clinic, to assess its potential to help bridge this treatment gap by analyzing clinical outcomes among peripartum women receiving care for anxiety and depressive symptoms.Methods Pregnant and postpartum women referred for anxiety and depression of peripartum onset received 8 weeks of synchronous, virtual, evidence-based CBT from a trained clinician. This treatment was complemented by the asynchronous use of the mindLAMP app, providing digital phenotyping, psychoeducation, and CBT skills, with the support of a Digital Health Navigator. Preliminary clinical outcomes were assessed by comparing GAD-7 and PHQ-9 scores from intake to the completion of the treatment course.Results This preliminary matched retrospective cohort study included 13 peripartum and 39 matched non-peripartum patients receiving care through the Digital Clinic. Among the peripartum cohort, GAD-7 scores decreased from 14.4 (SD = 5.0) at intake to 5.5 (SD = 4.3) at treatment completion, corresponding to a significant mean reduction of 8.9 points (SD = 4.8; p < 0.01; d = -1.91, 95% CI: -2.89 to -0.93). PHQ-9 scores decreased from 9.3 (SD = 5.9) to 5.6 (SD = 4.8), corresponding to a mean reduction of 3.7 points (SD = 6.3); however, this change did not reach statistical significance (p = 0.055; d = -0.68, 95% CI: -1.41 to 0.05).Conclusion The Digital Clinic, a hybrid care model, was associated with reductions in anxiety symptoms and less conclusive reductions in depressive symptoms among pregnant and postpartum women. This approach to maternal mental health holds promise for delivering accessible, evidence-based care to peripartum patients in real-world settings. Future research efforts should further evaluate its effectiveness in larger, more diverse patient populations, including those with more moderate to severe symptoms.
SN - 1471-2393
ER -