Evidence map›Paper›PMID 39451861›Full record

ArticleGeriatrics (Basel, Switzerland)2024

Cost-Effectiveness of GaitSmart and an Artificial Intelligence Solution for Rehabilitation of Patients Undergoing Total Hip Arthroplasty (THA) and Total Knee Arthroplasty (TKA) in Older Population in the United Kingdom.

Fernando Zanghelini, Aisling Ponzo, Georgios Xydopoulos, Richard Fordham, Saval Khanal

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Geriatrics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fernando ZangheliniHealth Economics Consulting, Norwich Medical School, University of East Anglia, Norwich NR4 7UQ, UK.ORCID 0000-0002-4913-9498
Aisling PonzoHealth Economics Consulting, Norwich Medical School, University of East Anglia, Norwich NR4 7UQ, UK.
Georgios XydopoulosHealth Economics Consulting, Norwich Medical School, University of East Anglia, Norwich NR4 7UQ, UK.
Richard FordhamHealth Economics Consulting, Norwich Medical School, University of East Anglia, Norwich NR4 7UQ, UK.
Saval KhanalHealth Economics Consulting, Norwich Medical School, University of East Anglia, Norwich NR4 7UQ, UK.ORCID 0000-0001-5201-0612

Funding

Innovate UK Digital Health Grant (2020)
6 · The paper itself

Abstract

backgroundGaitSmart (GS) is a sensor-based digital medical device that can be used with the integrated app vGym to provide a personalised rehabilitation programme for older people undergoing total hip arthroplasty (THA) or total knee arthroplasty (TKA). This study aimed to determine whether the GS intervention used in the rehabilitation of older people undergoing THA or TKA is potentially cost-effective compared to the current standard of care (SoC).

methodsDecision-analytic modelling was conducted to estimate the cost-effectiveness over a seventeen-week time horizon from an NHS perspective. UK clinical and cost data from the GaitSmart randomised clinical trial was used to obtain the input parameters, and a sensitivity analysis was performed to address uncertainties.

resultsOver a seventeen-week time horizon, GS incurred cost savings of GBP 450.56 and a 0.02 gain in quality-adjusted life years (QALYs) compared to the SoC. These results indicate that GS is the dominant intervention because the device demonstrated greater effectiveness and lower costs. Probabilistic sensitivity analyses confirm the robustness of our results.

conclusionsGS appears to offer short-term efficiency benefits and demonstrates cost-effectiveness for the improvement in gait in people undergoing THA or TKA, compared to the SoC.

Indexed as

cost-effectiveness analysisGaitSmartrehabilitationtotal hip arthroplastytotal knee arthroplasty

Identifiers

PMID39451861
PMCPMC11508099

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Registered trials

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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 OpenQuestion graph.