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

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

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

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic evaluationOffset (computer science)MicroprocessorQuality assuranceQuality (philosophy)Cost–benefit analysisCost–utility analysis

Abstract

fetched live from 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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.245
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2025
Admission routes2
Has abstractyes

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