Skip to main content

Research Repository

Advanced Search

Protocol for a trial-based economic evaluation analysis of a complex digital health intervention including a computerised decision support tool: the iFraP intervention

Siciliano, Michele; Bathers, Sarah; Bentley, Ida; Bullock, Laurna; Cherrington, Andrea; Clark, Emma; Fleming, Jane; Jinks, Clare; Lewis, Sarah; Mallen, Christian; Nicholls, Elaine; O'Neill, Terence; Smith, Jo; Webb, David; Paskins, Zoe; Iglesias-Urrutia, Cynthia

Authors

Michele Siciliano

Ida Bentley

Andrea Cherrington

Emma Clark

Jane Fleming

Sarah Lewis

Terence O'Neill

Jo Smith

David Webb

Cynthia Iglesias-Urrutia



Abstract

Background
Digital health interventions (DHI) are associated with significant promise. In recent years, the need to assess the value of these healthcare technologies has motivated a debate regarding the suitability of existing economic evaluation methods in the context of DHI evaluation. Some have argued that robust economic evaluation methods may not be capable of capturing relevant DHI’s characteristics. Others consider that assessing the value of DHI might not be feasible.

This protocol paper challenges that view. More specifically, it describes early Health Technology Assessments (HTA) methods to rigorously assess the value for money of a complex intervention including a digital decision support tool i.e., Improving uptake of Fracture Prevention drug treatments (iFraP) as a tracer intervention. iFraP is a complex intervention consisting of a computerised decision support tool, a clinician training package, and information resources to facilitate shared decision-making, increase informed medicine initiation and reduce levels of medicine discontinuation. iFraP’s development was motivated by a view that good quality shared decision-making conversations have the potential to improve levels of osteoporosis medicine uptake.

Methods
An early economic evaluation of the iFraP intervention was designed to identify, measure, and evaluate the costs and health benefits of iFraP compared to usual practice in Fracture Liaison Services (FLSs). A within-trial cost-effectiveness from the perspective of the National Health Service and Personal Social Service in England will be conducted using patient’s self-reported health related quality of life (HRQoL) and resource use from the iFraP randomised controlled trial. Microanalysis will be used to estimate iFraP’s intervention cost. Finally, Bayesian Value of Information analysis will allow us to estimate an upper bound for the potential health benefits gained from reducing uncertainty on the impact of the iFraP intervention to support uptake and adherence with osteoporosis medicines.

Trial registration
ISRCTN10606407 - https://doi.org/10.1186/ISRCTN10606407

Citation

Siciliano, M., Bathers, S., Bentley, I., Bullock, L., Cherrington, A., Clark, E., …Iglesias-Urrutia, C. (in press). Protocol for a trial-based economic evaluation analysis of a complex digital health intervention including a computerised decision support tool: the iFraP intervention. NIHR Open Research, 4(15), https://doi.org/10.3310/nihropenres.13575.1

Journal Article Type Article
Acceptance Date Apr 3, 2024
Online Publication Date Apr 3, 2024
Deposit Date Jun 4, 2024
Journal NIHR Open Research
Print ISSN 2633-4402
Publisher Taylor and Francis
Peer Reviewed Peer Reviewed
Volume 4
Issue 15
DOI https://doi.org/10.3310/nihropenres.13575.1
Public URL https://keele-repository.worktribe.com/output/845936
Additional Information Referee status: Awaiting Peer Review; Grant Information: This trial was funded by the National Institute for Health and Care Research (NIHR) [Clinician Scientist Award (CS-2018-18-ST2-010)/NIHR Academy] to Professor Zoe Paskins. The views expressed are those of the author(s) and not necessarily those of the NIHR, NHS or the Department of Health and Social Care. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.; Copyright: This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.