Systematic review on the cost and cost-effectiveness of mHealth interventions supporting women during pregnancy
Version 2 2024-06-06, 02:13Version 2 2024-06-06, 02:13
Version 1 2023-02-09, 22:43Version 1 2023-02-09, 22:43
journal contribution
posted on 2023-02-09, 22:43authored byA Carrandi, Y Hu, S Karger, K E Eddy, Josh VogelJosh Vogel, C L Harrison, E Callander
Objectives: The increased integration of digital health into maternity care—alongside growing use of, and access to, personal digital technology among pregnant women—warrants an investigation of the cost-effectiveness of mHealth interventions used by women during pregnancy and the methodological quality of the cost-effectiveness studies. Methods: A systematic search was conducted to identify peer-reviewed studies published in the last ten years (2011–2021) reporting on the costs or cost-effectiveness of mHealth interventions used by women during pregnancy. Available data related to program costs, total incremental costs and incremental cost-effectiveness ratios (ICERs) were reported in 2020 United States Dollars. The quality of cost-effectiveness studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS). Findings: Nine articles reporting on eight studies met the inclusion criteria. Direct intervention costs ranged from $7.04 to $86 per woman, total program costs ranged from $241,341 to $331,136 and total incremental costs ranged from -$21.16 to $1.12 million per woman. The following ICERs were reported: $2168 per DALY averted, $203.44 per woman ceasing smoking, and $3475 per QALY gained. The full economic evaluation studies (n = 4) were moderate to high in quality and all reported the mHealth intervention as cost-effective. Other studies (n = 4) were low to moderate in quality and reported low costs or cost savings associated with the implementation of the mHealth intervention. Conclusions for practice: Preliminary evidence suggests mHealth interventions may be cost-effective and “low-cost” but more evidence is needed to ascertain the cost-effectiveness of mHealth interventions regarding positive maternal and child health outcomes and longer-term health service utilisation.