ReviewPharmacoEconomics - open2026
A Scoping Review of Methods for Extrapolating Costs and Effects in Economic Evaluations of Remote Monitoring.
Review in PharmacoEconomics - open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
introductionTelehealth, including remote monitoring, has the potential to reduce healthcare resource use. However, economic evaluations often have insufficient methodological quality, including long-term investigation. The problem is that data are often unavailable for the entire time horizon of interest, but here different extrapolation methods can be applied.
objectiveThe objective of this study is to examine how long-term economic evaluations of telehealth interventions (remote monitoring) have been designed and conducted with a particular focus on extrapolation methods, and to identify the applied extrapolation methods.
methodsThis scoping review was conducted according to guidelines in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR). The systematic search in Embase, PubMed, EconLit, Web of Science, NHS Economic Evaluation Database, and CINAHL, supplemented with a grey literature search in Google Scholar, identified economic evaluations, where minimum one alternative was telehealth, the time horizon exceeded 12 months, and extrapolation methods were applied. Last search date was 23 January 2025, and two reviewers screened the studies simultaneously. Data were extracted using a predefined data extraction sheet.
resultsA total of 57 studies were included in this scoping review. Use of simpler extrapolation methods (Profiles and Constant values) was prevalent in 84% and 57% of the studies, respectively. These simple methods were used both in combination and alone. Even when trial-based data were available for a shorter time horizon, the simpler methods were used just as frequently as the more advanced methods. Only 32% of the studies included a sensitivity analysis for investigating the impact of the time horizon on the decision. Furthermore, transparency was missing in the reporting of applied extrapolation methods, and explicit investigation of uncertainty from the choice of extrapolation method is warranted.
conclusionsThis scoping review finds that economic evaluations of telehealth interventions (remote monitoring) mainly rely on simpler extrapolation methods with limited justification, validation, and uncertainty analysis. Further investigation into the implications of use of different extrapolation methods is warranted, and guidelines on use of extrapolation methods are needed to ensure transparency. REGISTRATION: A protocol was published elsewhere.
Identifiers
42430035What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.