Characteristics of Patients Most Likely to Use Postpartum Text-Based Breastfeeding Support Platform [A267]. (May 2022)

• Record Type: Journal Article
• Authors: Bender, Whitney; Durnwald, Celeste
• Is Part Of: Obstetrics and gynecology. Volume 139(2022)Supplement 1
• Page Start: 77S
• Page End: 77S
• Publication Date: 2022-05
• Subjects: Obstetrics -- Periodicals; Gynecology -- Periodicals; 618
• DOI: 10.1097/01.AOG.0000825628.30669.9e
• Languages: English
• ISSNs: 0029-7844

Abstract

Abstract : INTRODUCTION: The aim was to describe the patient population most likely to utilize a postpartum text-based breastfeeding support platform. METHODS: This is a secondary analysis of an IRB-approved randomized controlled trial (RCT) at an urban tertiary care center from January 2020 to January 2021 comparing (1) a control group receiving weekly text messages inquiring about infant feeding method versus (2) an intervention group receiving educational texts and personalized text-based breastfeeding support as needed in addition to a weekly feeding question. Only patients randomized to the intervention arm were analyzed. The primary outcome was utilization of text-based support as defined by asking ≥1 feeding-related question in the first 6 weeks postpartum. RESULTS: Of the 216 subjects in the RCT, 106 were randomized to the intervention arm. Within this cohort, mean age was 31.4 years, 50% self-identified as Black, 51.9% were nulliparous, and 54.7% had commercial insurance. Overall, nulliparous patients were more likely than multiparous patients to utilize the text-based support platform (65.5% vs. 34.6%, P =.004). Patients with commercial insurance were also more likely to engage with the text-based support platform (65.5% vs. 34.6%, P =.02). Platform usage did not differ based on other clinical characteristics analyzed. CONCLUSION: Nulliparous and commercially insured patients were more likely to utilize a postpartum text-based breastfeeding support platform than their multiparous or publicly insured counterparts. Understanding the patient populations most likely to engage with a text-based health platform is critical to advancing health care delivery in the future.