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Record W2742610335 · doi:10.2196/cancer.7443

Supporting Lung Cancer Patients With an Interactive Patient Portal: Feasibility Study

2017· article· en· W2742610335 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJMIR Cancer · 2017
Typearticle
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsnot available
FundersKWF Kankerbestrijding
KeywordsLung cancerMedicineCancerPatient portalLungComputer scienceOncologyInternal medicineHealth carePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: MyAVL is an interactive portal for cancer patients that aims to support lung cancer patients. OBJECTIVE: We aimed to evaluate the feasibility and usability of the patient portal and generate preliminary evidence on its impact. METHODS: Lung cancer patients currently or recently treated with curative intent could use MyAVL noncommittally for 4 months. Feasibility, usability, and preliminary impact (ie, patient activation, quality of life, and physical activity) were studied by means of questionnaires, a focus group, and analysis of user log data. RESULTS: We included 37 of 123 eligible patients (mean age 59.6 years). The majority of responses (82%) were positive about using MyAVL, 69% saw it as a valuable addition to care, and 56% perceived increased control over their health. No positive effects could be substantiated on the impact measures. CONCLUSIONS: MyAVL appears to be a feasible and user-friendly, multifunctional eHealth program for a selected group of lung cancer patients. However, it needs further improvements to positively impact patient outcomes.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.541
Teacher spread0.480 · 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