Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Digital health interventions have been shown to be clinically-effective for type 2 diabetes mellitus (T2DM) and hypertension prevention and treatment. This study synthesizes and compares the cost-effectiveness of text-messaging, smartphone application, and websites by searching CINAHL, Cochrane Central, Embase, Medline and PsycInfo for full economic or cost-minimisation studies of digital health interventions in adults with or at risk of T2DM and/or hypertension. Costs and health effects are synthesised narratively. Study quality appraisal using the Consensus on Health Economic Criteria (CHEC) list results in recommendations for future health economic evaluations of digital health interventions. Of 3056 records identified, 14 studies are included (7 studies applied text-messaging, 4 employed smartphone applications, and 5 used websites). Ten studies are cost-utility analyses: incremental cost-utility ratios (ICUR) vary from dominant to €75,233/quality-adjusted life year (QALY), with a median of €3840/QALY (interquartile range €16,179). One study finds no QALY difference. None of the three digital health intervention modes is associated with substantially better cost-effectiveness. Interventions are consistently cost-effective in populations with (pre)T2DM but not in populations with hypertension. Mean quality score is 63.0% (standard deviation 13.7%). Substandard application of time horizon, sensitivity analysis, and subgroup analysis next to transparency concerns (regarding competing alternatives, perspective, and costing) downgrades quality of evidence. In conclusion, smartphone application, text-messaging, and website-based interventions are cost-effective without substantial differences between the different delivery modes. Future health economic studies should increase transparency, conduct sufficient sensitivity analyses, and appraise the ICUR more critically in light of a reasoned willingness-to-pay threshold.Registration: PROSPERO (CRD42021247845).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439143PMC
http://dx.doi.org/10.1038/s41746-023-00876-xDOI Listing

Publication Analysis

Top Keywords

digital health
16
smartphone application
12
health interventions
12
health economic
12
t2dm hypertension
8
health
8
future health
8
interventions
6
studies
5
cost effectiveness
4

Similar Publications

Importance: Patients with inflammatory rheumatic diseases (IRDs) frequently experience psychological distress; however, access to psychological support remains limited.

Objective: To investigate the effectiveness of a digital psychological intervention for individuals with IRDs.

Design, Setting, And Participants: Participants aged 18 years or older were recruited across Germany between February 22 and June 4, 2024, if they had been diagnosed with rheumatoid arthritis, psoriatic arthritis, or systemic lupus erythematosus and reported psychological distress and reduced quality of life.

View Article and Find Full Text PDF

AI-enhanced predictive modeling for treatment duration and personalized treatment planning of cleft lip and palate therapy.

Int J Comput Assist Radiol Surg

September 2025

Division of Plastic and Reconstructive Surgery, Neonatal and Pediatric Craniofacial Airway Orthodontics, Department of Surgery, Stanford University School of Medicine, 770 Welch Road, Palo Alto, CA, 94394, USA.

Background: Alveolar molding plate treatment (AMPT) plays a critical role in preparing neonates with cleft lip and palate (CLP) for the first reconstruction surgery (cleft lip repair). However, determining the number of adjustments to AMPT in near-normalizing cleft deformity prior to surgery is a challenging task, often affecting the treatment duration. This study explores the use of machine learning in predicting treatment duration based on three-dimensional (3D) assessments of the pre-treatment maxillary cleft deformity as part of individualized treatment planning.

View Article and Find Full Text PDF

The antibiotic contamination in aquatic environments, particularly in aquaculture systems, poses substantial risks to ecological balance and human health. To address this issue, we engineered a novel ratiometric fluorescent probe utilizing dual-emission carbon dots (D-CDs) synthesized from sustainable biomass carrot and nitrogen-rich precursors (melamine and o-phenylenediamine) through an efficient one-pot hydrothermal approach. The D-CDs exhibited dual emission peaks at 425nm and 540 nm under 370nm excitation.

View Article and Find Full Text PDF

In vitro assessment of the inhibitory effect of antiplatelet drugs on platelet aggregation is frequently employed to guide personalized antiplatelet therapy in clinical practice. However, existing methods for detecting platelet aggregation rely heavily on high concentrations of exogenous agonists, which may obscure part of the inhibitory effect of antiplatelet drugs and lead to an underestimation of their effects. This study validates a novel analytical strategy for evaluating the effects of antiplatelet drugs by quantifying the microscopic three-dimensional morphological parameters of platelet aggregates formed through spontaneous aggregation on a glass surface.

View Article and Find Full Text PDF

Cannabis use is common among US youth who become involved in the juvenile legal system (JLS), yet substance use treatment rates remain low, particularly among youth diverted away from formal JLS involvement. Diverted youth encounter multiple barriers to receiving services in the community that could be addressed via digital approaches offered by the JLS. This multiphase work details development of the TECH (Teen Empowerment through Computerized Health) app, a tailored digital adjunct to usual JLS services.

View Article and Find Full Text PDF