Evidence map›Paper›PMID 39469213›Full record

ArticleFrontiers in public health2024

Cost analysis of technological vs. conventional upper limb rehabilitation for patients with neurological disorders: an Italian real-world data case study.

Valerio Gower, Irene Aprile, Francesca Falchini, Alessio Fasano, Marco Germanotta, Mattia Randazzo, Federico Spinelli, Leopoldo Trieste, Furio Gramatica, Giuseppe Turchetti

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Trial
  2. Cost-effectiveness analysis of the MYO ArmbandJournal of neuroengineering and rehabilitation · 2025
    Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
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

10 authors.

Valerio GowerIRCCS Fondazione Don Carlo Gnocchi, Milan, Italy.
Irene AprileIRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.
Francesca FalchiniIRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.
Alessio FasanoIRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.
Marco GermanottaIRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.
Mattia RandazzoIRCCS Fondazione Don Carlo Gnocchi, Milan, Italy.
Federico SpinelliIRCCS Fondazione Don Carlo Gnocchi, Milan, Italy.
Leopoldo TriesteInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Furio GramaticaIRCCS Fondazione Don Carlo Gnocchi, Milan, Italy.
Giuseppe TurchettiInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Most patients suffering from neurological disorders endure varying degrees of upper limb dysfunction, limiting their everyday activities, with only a limited number regaining full arm use. Robotic and technological rehabilitation has been demonstrated to be a feasible solution to guarantee an effective rehabilitation to recover upper limb performance or to prevent complications of upper limb immobility. However, there is currently a lack of studies which analyze the sustainability of robotic and technological rehabilitation by comparing its costs to conventional rehabilitation pathways. Methods: Since technology-based and conventional rehabilitation of the upper limb have been demonstrated to have comparable efficacy when the rehabilitation dose is matched, our study concentrates on a cost minimization analysis. The aim of the study is to compare the costs of a "mixed" rehabilitation cycle, which combines conventional and technology-based treatments (the latter delivered with a single therapist supervising several patients), with a cycle of purely conventional treatments. This has been done by developing a cost model and retrospectively analyzing the costs sustained by an Italian hospital which has adopted such a mixed model. A sensitivity analysis has been done to identify the parameters of the model that have the greatest influence on cost difference and to evaluate their optimal values in terms of efficiency of mixed rehabilitation. Finally, probabilistic simulations have been applied to consider the variability of model parameters around such optimized values and evaluate the probability of achieving a given level of savings. Results: We found a cost difference of 49.60 € per cycle in favor of mixed rehabilitation. The sensitivity analysis demonstrated that, in the situation of the hospital under investigation, the parameter having the largest influence on the cost difference is the number of robotic treatments in a mixed rehab cycle. Probabilistic simulations indicate a probability higher than 98% of an optimized mixed rehabilitation cycle being less expensive than a pure conventional one. Conclusion: Through a retrospective cost analysis, we found that the technology-based mixed rehabilitation approach, within a specific organizational model allowing a single physiotherapist to supervise up to four patients concurrently, allowed cost savings compared to the conventional rehabilitation model.

Indexed as

Costs and Cost AnalysisRoboticsUpper ExtremityFemaleHumansItalyMaleMiddle AgedNervous System DiseasesRetrospective Studiescost analysiscost minimizationprobabilistic simulationrobotic rehabilitationsensitivity analysis

Identifiers

PMID39469213
PMCPMC11513284

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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.