Published on in Vol 5, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30995, first published .
Integrating SMS Text Messages Into a Preventive Intervention for Postpartum Depression Delivered via In-Home Visitation Programs: Feasibility and Acceptability Study

Integrating SMS Text Messages Into a Preventive Intervention for Postpartum Depression Delivered via In-Home Visitation Programs: Feasibility and Acceptability Study

Integrating SMS Text Messages Into a Preventive Intervention for Postpartum Depression Delivered via In-Home Visitation Programs: Feasibility and Acceptability Study

Authors of this article:

Alinne Z Barrera 1 Author Orcid Image ;   Jaime Hamil 2 Author Orcid Image ;   Darius Tandon 2 Author Orcid Image

Journals

  1. Cummings P, Petitclerc A, Moskowitz J, Tandon D, Zhang Y, MacNeill L, Alshurafa N, Krogh-Jespersen S, Hamil J, Nili A, Berken J, Grobman W, Rangarajan A, Wakschlag L. Feasibility of Passive ECG Bio-sensing and EMA Emotion Reporting Technologies and Acceptability of Just-in-Time Content in a Well-being Intervention, Considerations for Scalability and Improved Uptake. Affective Science 2022;3(4):849 View
  2. Rahman T, Nayan N. Text Messages for Depression, Anxiety and Alcohol Abuse Therapy—Are Construction Guidelines Needed?. International Journal of Environmental Research and Public Health 2022;19(23):15701 View
  3. Ng A, Wei B, Jain J, Ward E, Tandon S, Moskowitz J, Krogh-Jespersen S, Wakschlag L, Alshurafa N. Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation. JMIR mHealth and uHealth 2022;10(8):e33850 View
  4. Zingg A, Singh T, Franklin A, Ross A, Selvaraj S, Refuerzo J, Myneni S. Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels. BMC Pregnancy and Childbirth 2023;23(1) View