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Enregistrement W4415716200 · doi:10.33137/cpoj.v8i2.45823

HEALTH ECONOMIC EVALUATION OF MICROPROCESSOR AND NON-MICROPROCESSOR CONTROLLED PROSTHETIC KNEES

2025· article· en· W4415716200 sur OpenAlexvenueaboutno aff
Charlotte E. Bosman, Corry K. van der Sluis, Aline H. Vrieling, Jan H. B. Geertzen, Bregje L. Seves, Henk Groen

Notice bibliographique

RevueCanadian Prosthetics & Orthotics Journal · 2025
Typearticle
Langueen
DomaineEngineering
ThématiqueProsthetics and Rehabilitation Robotics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEconomic evaluationOffset (computer science)MicroprocessorQuality assuranceQuality (philosophy)Cost–benefit analysisCost–utility analysis

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Use of a microprocessor-controlled knee (MPK) compared to a non-microprocessor-controlled knee (NMPK) can lead to improved walking ability, confidence and satisfaction. However, the MPK is more expensive than the NMPK and it is unknown whether the higher costs outweigh the potential benefits. OBJECTIVE: To evaluate the cost-utility and cost-effectiveness of MPKs and NMPKs from a societal perspective in the Netherlands. METHODOLOGY: Participants completed the Dutch version of the EuroQol - five dimensions - five levels (EQ-5D-5L) to assess health-related quality of life, three subscales (ambulation, utility and well-being) of the Prosthesis Evaluation Questionnaire (PEQ) to assess prosthesis-related quality of life and a cost-questionnaire from societal perspective. Incremental cost-utility ratio (ICUR) and incremental cost-effectiveness ratio (ICER) were calculated and the ICUR was compared with the Dutch willingness-to-pay threshold. Bootstrapping was used to estimate statistical uncertainty, and multiple imputation was applied to account for missing values. FINDINGS: In total, 111 participants were included (37 female, 73 male, 1 unknown; 71 transfemoral, 39 knee disarticulation, 1 unknown; age 64 ± 13 years; 49 NMPK users, 62 MPK users). The cost-utility analysis demonstrated that the MPK yielded an increase of 0.032 quality adjusted life years (QALY) but at considerably higher costs. The mean cost difference was € 14,626, resulting in a mean ICUR of € 457,063 per QALY gained. The cost difference was mainly driven by acquisition costs but was partially compensated by lower costs of work absence, health care consumption and household care. CONCLUSION: The cost-effectiveness analyses demonstrated that the MPK is likely to provide benefits in term of prosthesis-specific quality of life, but at higher costs. However, short-term improvement in health-related quality of life was too small to result in substantial QALY gain to offset the higher costs of the MPK and result in an incremental cost-utility ratio below the generally accepted willingness-to-pay thresholds. Layman's Abstract In this study, we compared two types of prosthetic knees that are used by people with a lower limb amputation. One is a high-tech version that uses a built-in computer sensor to help control movement (called a microprocessor controlled knee or MPK) and the other is a simpler, mechanical version (called a non-microprocessor controlled knee or NMPK). MPKs can help people walk more easily and feel more confident, but have a much higher acquisition cost. We compared the costs and benefits of both types of knees by studying 111 people who were either using an MPK or NMPK in their daily life. They completed surveys about their health, how they felt about their prosthesis, their healthcare use and work. Results showed that the people using an MPK reported better experiences in terms of mobility and satisfaction with their prosthesis. However, while the MPK did also improve quality of life a little bit, the improvement was small compared to how much more it costs. While the MPK helped reduce some other costs like time of work and healthcare use, the overall benefit wasn’t enough to make it cost-effective by current standards in the Netherlands. In conclusion, while the MPK offers some advantages, they may not be enough to justify the higher price, at least not in the short term. More research could help us understand whether the benefits grow over time. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/45823/34424 How To Cite: Bosman C.E, van der Sluis C.K, Vrieling A.H, Geertzen J.H.B, Seves B.L, Groen H. Health economic evaluation of microprocessor and non-microprocessor controlled prosthetic knees. Canadian Prosthetics & Orthotics Journal. 2025; Volume 8, Issue 2, No. 3. https://doi.org/10.33137/cpoj.v8i2.45823 Corresponding Author: Charlotte E. Bosman, PhDAffiliation: Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.E-Mail: c.e.bosman@umcg.nlORCID ID: https://orcid.org/0000-0001-7950-5893

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,296
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,005
Tête enseignante GPT0,245
Écart entre enseignants0,240 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2025
Routes d'admission2
Résumé présentoui

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