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Record W3014904857 · doi:10.1016/j.arthro.2020.02.045

Conventional Follow‐up Versus Mobile Application Home Monitoring for Postoperative Anterior Cruciate Ligament Reconstruction Patients: A Randomized Controlled Trial

2020· article· en· W3014904857 on OpenAlexafffundabout
James P. Higgins, Justin Chang, Graeme Hoit, Jas Chahal, Tim Dwyer, John Theodoropoulos

Bibliographic record

VenueArthroscopy The Journal of Arthroscopic and Related Surgery · 2020
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsMount Sinai HospitalToronto Western HospitalWomen's College HospitalUniversity of Toronto
FundersPhysicians' Services Incorporated Foundation
KeywordsMedicineRandomized controlled trialAnterior cruciate ligament reconstructionAnterior cruciate ligamentSurgery

Abstract

fetched live from OpenAlex

PURPOSE: To determine whether a mobile app can reduce the need for in-person visits and examine the resulting societal cost differences between mobile and conventional follow-up for postoperative anterior cruciate ligament (ACL) reconstruction patients. METHODS: Study design was a single-center, 2-arm parallel group randomized controlled trial. All patients undergoing ACL reconstruction aged 16 to 70 years were screened for inclusion in the study. Competent use of a mobile device and ability to communicate in English was required. Patients were randomly assigned to receive follow-up via a mobile app or conventional appointments. Analysis was intention-to-treat. The primary outcome was the number of in-person visits to any health care professional during the first 6 postoperative weeks. Secondary outcomes included analysis of costs incurred by the health care system and personal patient costs related to both methods of follow-up. Patient-reported satisfaction and convenience scores, rates of complications, and clinical outcomes were also analyzed. RESULTS: Sixty patients were analyzed. Participants in the app group attended a mean of 0.36 in-person visits versus 2.44 in-person visits in the conventional group (95% confidence interval 0.08-0.28; P < .0001). On average, patients in the app group spent $211 (Canadian dollars) less than the conventional group over 6 weeks (P < .0001) on personal costs related to follow-up. Health care system costs were also significantly less in the app group ($157.5 vs CAD $202.2; P < .0001). There was no difference between groups in patient satisfaction, convenience, complication rates, or clinical outcome measures. CONCLUSIONS: Mobile follow-up can eliminate a significant number of in-person visits during the first 6 postoperative weeks in patients undergoing ACL reconstruction with cost savings to both the patient and health care system. This method should be considered for dissemination among similar orthopaedic procedures during early postoperative care. LEVEL OF EVIDENCE: I: Prospective randomized controlled trial.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.030
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.358
Teacher spread0.330 · 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.

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".

Quick stats

Citations50
Published2020
Admission routes3
Has abstractyes

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