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Record W4362664102 · doi:10.1136/bmjopen-2022-069424

Preliminary effectiveness of 3D-printed orthoses in chronic hand conditions: study protocol for a non-randomised interventional feasibility study

2023· article· en· W4362664102 on OpenAlexaboutno aff
Tanja Oud, Jana Tuijtelaars, Frans Nollet, Merel‐Anne Brehm

Bibliographic record

VenueBMJ Open · 2023
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
FundersZonMw
KeywordsMedicinePhysical therapyWristThumb3d printedPhysical medicine and rehabilitationOrthoticsActivities of daily livingIntervention (counseling)Protocol (science)NursingSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Hand orthoses are often provided to improve performance of activities of daily life (ADL). Yet, the manufacturing process of conventional custom-fabricated hand orthoses is a time-consuming and labour-intensive process. Even though three-dimensional (3D) printing of orthoses is a rapidly growing area that can facilitate the manufacturing process of hand orthoses, evidence on the effectiveness, costs and production time of 3D-printed orthoses in chronic hand conditions is scarce. This study aims to assess (1) the preliminary effectiveness of 3D-printed orthoses compared with conventionally custom-fabricated orthoses in persons with chronic hand conditions, (2) production time and costs of both orthoses and (3) experiences of the participants and orthotists with the manufacturing process of the 3D-printed orthosis. METHODS AND ANALYSIS: In this prospective non-randomised interventional feasibility study, 20 adults with various chronic hand conditions using a conventional thumb, wrist or wrist-thumb orthosis will be provided with a 3D-printed corresponding type of orthosis. Assessments will be done 2 weeks prior to the intervention and at baseline for the conventional orthosis, and at 1 month and 4 months follow-up for the 3D-printed orthosis. The primary outcome is change from baseline in ADL performance (custom short form Dutch-Flemish Patient-Reported Outcomes Measurement Information System-Upper Extremity; ADL domain Michigan Hand Outcomes Questionnaire Dutch language version (MHQ-DLV)) at 4 months follow-up. Secondary outcomes include general hand function (MHQ-DLV), satisfaction with the orthosis (Dutch Client Satisfaction with Device; Dutch version of the Quebec User Evaluation of Satisfaction with Assistive Technology), usability (in-house questionnaire) and quality of life (EuroQoL 5-Dimension 5-Level). Costs and production time of the conventional and 3D-printed orthoses will be prospectively recorded. Experiences regarding the manufacturing process will be obtained from participants and orthotists (in-house questionnaire). ETHICS AND DISSEMINATION: The Medical Ethics Committee of the Amsterdam UMC, Academic Medical Centre, has waived the requirement for ethical review of this study. Results will be disseminated through peer-reviewed journals, scientific conferences, and media aimed at a broad audience including patients. TRIAL REGISTRATION NUMBER: NCT05320211.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.042
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.053
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.039
Meta-epidemiology (narrow)0.0060.003
Meta-epidemiology (broad)0.0100.005
Bibliometrics0.0030.003
Science and technology studies0.0030.004
Scholarly communication0.0040.004
Open science0.0040.002
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0530.012

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 head0.117
GPT teacher head0.505
Teacher spread0.388 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreProtocol

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".

Quick stats

Citations17
Published2023
Admission routes1
Has abstractyes

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