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Record W2547528191

ELECTRONIC FOLLOW-UP: IS SEEING PATIENTS IN CLINIC NECESSARY?

2016· article· en· W2547528191 on OpenAlexaffabout
Steven J. MacDonald

Bibliographic record

VenueJournal of Bone and Joint Surgery-british Volume · 2016
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicinePatient satisfactionIncidence (geometry)Physical therapyDescriptive statisticsHealth careFamily medicineChristian ministryTest (biology)Surgery
DOInot available

Abstract

fetched live from OpenAlex

The incidence of major complications following total joint arthroplasty is low, however, surgeons often continue to see patients regularly to monitor outcomes and the performance of the implant. The purpose of this study was to assess the feasibility, effectiveness and cost-effectiveness of a web-based follow-up compared to in-person assessment following primary total hip or total knee arthroplasty. We also determined patient satisfaction and preference for follow-up method. Patients who were at least 12 months post-operative were randomised to complete either a web-based follow-up or to have their appointment at the clinic, as usual. We excluded patients who had revision surgery, osteolysis, or identified radiographic issues. We report the frequency of web-based patients who had an issue missed by using the web-based follow-up. We recorded travel costs and time associated with each follow-up, and any health care resource use for one year following the assessment. We conducted a cost analysis from the health-care payer (Ontario Ministry of Health and Long-Term Care) and societal perspectives. All costs are presented in 2012 Canadian dollars. We used descriptive statistics to summarise the satisfaction and preference results and compared satisfaction between groups using Pearson9s chi-square test. Two hundred-twenty nine patients completed the study (111 usual-care, 118 web-based), with a mean age of 69 years (range, 38–86 years). There were no patients who had an issue missed by the web-based follow-up. The cost for the web-based assessment was significantly lower from both the societal perspective (mean difference, $-64; 95% confidence interval, $-79 to $−48; p Web-based follow-up is a feasible, clinically effective alternative to in-person clinic assessment, with moderate to high patient satisfaction. A web-based follow-up assessment has lower mean costs per person compared to the usual method of in-person follow-up from both a societal and health-care payer perspective. The web-based assessment may introduce additional efficiency by redirecting limited outpatient resources to those awaiting first consultation, patients who have complications, or those who are further post-operative and may require a revision.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.233
Teacher spread0.220 · 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 designObservational
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

Citations0
Published2016
Admission routes2
Has abstractyes

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