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Record W4361983563 · doi:10.2196/45865

Acceptability of a Hypothetical Reduction in Routinely Scheduled Clinic Visits Among Patients With History of a Localized Melanoma (MEL-SELF): Pilot Randomized Clinical Trial

2023· article· en· W4361983563 on OpenAlexvenueno aff
Dorothy Drabarek, Deonna Ackermann, Ellie Medcalf, Katy Bell

Bibliographic record

VenueJMIR Dermatology · 2023
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMater FoundationFriends of The Mater FoundationCancer Institute NSWMedical Research CouncilAustralian Government
KeywordsMedicineRandomized controlled trialClinical endpointClinical trialIntervention (counseling)Physical therapyMelanomaIntention-to-treat analysisSurgeryInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: After treatment for a localized melanoma, patients attend routinely scheduled clinics to monitor for new primary or recurrent melanoma. Patient-led surveillance (skin self-examination with patient-performed teledermoscopy) is an alternative model of follow-up that could replace some routinely scheduled visits. OBJECTIVE: This study aims to assess the acceptability of a hypothetical reduction in routinely scheduled visits among participants of the Melanoma Self Surveillance (MEL-SELF) pilot randomized clinical trial of patient-led surveillance (intervention) versus usual care (control). METHODS: Patients previously treated for localized melanoma in New South Wales who were participating in the MEL-SELF pilot randomized clinical trial were asked to respond to a web-based questionnaire at baseline and after 6 months on trial. We used mixed methods to analyze the data. The main outcome of interest was the acceptability of a hypothetical reduction in routinely scheduled visits for melanoma surveillance. RESULTS: Of 100 randomized participants, 87 answered the questionnaire at baseline, 66 answered the questionnaire at 6 months, and 79 provided a free-text explanation at either time point. At 6 months, 33% (17/51) of the control group and 35% (17/49) of the intervention group indicated that a hypothetical reduction in routinely scheduled visits with all melanoma doctors was at least slightly acceptable (difference in proportions -1%, 95% CI -20% to 17%; P=.89). Participants suggested that prerequisites for a reduction in routinely scheduled visits would include that sufficient time had elapsed since the previous diagnosis without a new primary melanoma or recurrence, an unscheduled appointment could be made at short notice if the patient noticed something concerning, their melanoma doctor had suggested reducing their clinic visit frequency, and patients had confidence that patient-led surveillance was a safe and effective alternative. Participants suggested that a reduction in routinely scheduled visits would not be acceptable where they perceived a very high risk of new or recurrent melanoma, low self-efficacy in skin self-examination and in the use of technologies for the patient-led surveillance intervention, and where they had a preference for clinician-led surveillance. Some patients said that a partial reduction to once a year may be acceptable. CONCLUSIONS: Some patients may be receptive to a reduction in routinely scheduled visits if they are assured that patient-led surveillance is safe and effective. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12616001716459; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371865&isReview=true; ClinicalTrials.gov NCT03581188; https://clinicaltrials.gov/ct2/show/NCT03581188. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1001/jamadermatol.2021.4704.

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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.318
Teacher spread0.285 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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