The impact of dose in an mHealth intervention to support parents and carers across the first 2000 days of life, Healthy Beginnings for HNEKids; a quantitative study (Preprint)

• DOI: 10.2196/preprints.70158
• Publication Date: 2024-12-18T08:13:26Z
• Authors: Alison L Brown; Nayerra Hudson; Jessica Pinfold; Rebecca Sewter; Lynda Davies; Christophe Lecath...; Jacklyn K. Jackson; Tessa Delaney; Sienna Kavalec; Rachel Sutherland
• Keywords: Preprint; mHealth

<sec> <title>BACKGROUND</title> The dose of mobile health (mHealth) interventions can significantly influence participant engagement, acceptability, and the overall effectiveness. However, few mHealth have explored dose-response relationship. </sec> <title>OBJECTIVE</title> Given limited evidence, this study aims to explore how influences effectiveness, cost effectiveness a parent targeted text messaging program which enhance child wellbeing. <title>METHODS</title> Healthy Beginnings for Hunter New England Kids (HB4HNEKids) provides age stage appropriate messages aimed support participants (parent/carers) their children by providing evidence-based wellbeing care across first 2000 days. Participants were enrolled in HB4HNEKids from five Child Family Health Service (CFHS) pilot sites region South Wales, then randomised into either low or high message group 2 years program. Engagement with was determined using click rates opt out rates. Participant acceptability assessed via brief online survey. asked update feeding status (as an indicator effectiveness) at several time points average sending 2-year period calculated, per participant. <title>RESULTS</title> There no statistically clinically significant differences between status. Overall, 6.7% opted HB4HNEKids. dose. In 6 months more arm (6.8%) compared (3.9%, p&lt;0.001). terms 70% 88% satisfied frequency messages. Additionally, 86% 85% indicated they would recommend other caregivers. lower ($9.32/participant) ($12.96/participant). <title>CONCLUSIONS</title> demonstrated positive process outcomes both groups, irrespective higher opt-out costs group, is likely scalable future use.