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Record W4411395890 · doi:10.1016/j.ijotn.2025.101210

The hip instructional prehabilitation program for enhanced recovery (HIPPER) as an eHealth approach to presurgical hip replacement Education: Feasibility randomized controlled trial

2025· article· en· W4411395890 on OpenAlexafffund
Somayyeh Mohammadi, Marie Westby, Amy Schneeberg, Wendy Watson, Aditya Dhariwal, N. D. Simpson, William C. Miller

Bibliographic record

VenueInternational Journal of Orthopaedic and Trauma Nursing · 2025
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsGF Strong Rehabilitation CentreVancouver Coastal HealthVancouver Coastal Health Research InstituteUniversity of British ColumbiaUniversity of British Columbia Hospital
FundersCanadian Institutes of Health Research
KeywordsPrehabilitationMedicineRandomized controlled trialeHealthPhysical therapyPhysical medicine and rehabilitationSurgeryHealth care

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the fidelity of our study protocol and the fidelity of a co-developed eHealth program designed for people having total hip replacement. METHOD: A single-center, assessor-masked, feasibility randomized controlled trial (RCT) was used. Fifty-one participants aged 50 and older with hip osteoarthritis who were scheduled to receive a total hip replacement participated in this study. We randomized participants into an experiment or a control group. The experiment group used an eHealth prehabilitation program called the Hip Instructional Prehabilitation Program for Enhanced Recovery (HIPPER). The control group received the usual care (i.e., attended an educational webinar). Feasibility indicators addressed process, resources, management, and treatment, and the primary clinical outcome measure was the Hospital Anxiety Depression Scale (HADS). RESULTS: Eight out of 14 feasibility indicators were achieved. All management indicators were achieved. Participant consent and data completion strategies need revision, as 38 % (n = 36) refused participation and 33 % (n = 17) had incomplete data. There were no statistically significant differences between groups for the clinical outcomes (anxiety, pain, activities of daily living, and self-efficacy). Most HIPPER participants rated the eHealth program as "acceptable." CONCLUSION: Results show evidence for the feasibility of the study protocol. The results reveal minor modifications to the study protocol to improve participant engagement, retention rate, and data completion. Moreover, to increase the perceived benefits, the content of the HIPPER can be modified. A refined version of HIPPER can provide accessible pre-operative care to patients undergoing total hip replacement. This program can also improve surgery outcomes by increasing patients' readiness. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT02969512. Registered on November 21, 2016.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0140.001

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 head0.017
GPT teacher head0.370
Teacher spread0.353 · 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 designRandomized trial
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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Citations0
Published2025
Admission routes2
Has abstractno

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