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A feasibility study of a new smartphone application for patients with cancer.

2017· article· en· W2603419515 on OpenAlex
Atsuko Kitano, Chikako Shimizu, Yosuke Uchitomi, Narikazu Boku, Jun Ohi, Noriko Sawai, Yoshie Tokonabe, Takashi Fujitomo, Yuta Matsuda, Naomi Sakurai, Yasuhiro Fujiwara

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Behavioral Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSmartphone appClinical endpointCancerInternal medicineWorld Wide WebClinical trialComputer science

Abstract

fetched live from OpenAlex

211 Background: Smartphone-applications have been used for self-care, but not all applications have a sufficient level of efficacy. We evaluated the feasibility of a new smartphone application (the App) which has two main functions—diary function and SNS function—and investigated the characteristics of active users. Methods: Patients who visited the Breast and Medical Oncology or GI Medical Oncology divisions at National Cancer Center Hospital were recruited between March and April in 2016. Participants could use the App for 28 days. Web-based survey was performed before and 28 days after using the App. The primary endpoint was Daily Active User (DAU) rate (the number of daily log-in user divided by the number of patients who completed installation). A mean DAU rate higher than 20% was predetermined as feasible. The secondary endpoints were daily diary function user rate, daily SNS function user rate, and overall user rate and change of Edmonton Symptom Assessment System Revised Japanese version (ESAS-r-j) before and after the App use. “Active user” was defined as a participant who used the AppeWe more than median active days for diary or SNS function. Duration of App use was counted from the date of installation to the date of last use, and overall user rate was calculated by Kaplan Meier method. Results: One-hundred and four patients (96%) completed the App installation and answered the first survey. All patients were followed for 28 days. The mean DAU rate was 50.9%. Active diary function user rate was 53% and active SNS function user rate was 40%. Overall user rate was 87.5%. Diary function was used more frequently by male patients than female, and non-breast cancer patients. SNS function was used more frequently by unemployed patients than others, and by patients younger than 40 y/o. We could evaluate the change of ESAS-r-j score in 80 patients who answered the second survey. There was a significant improvement of depression score among patients who were single and who had metastatic disease. Conclusions: The App was considered feasible. Gender, cancer type, job status, and age may influence the behavior of the App use. The App may improve patients’ psychological symptoms, but further investigations are warranted to reveal the clinical utility of the App.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.211
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.430
GPT teacher head0.612
Teacher spread0.182 · 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