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Record W2899230310 · doi:10.2196/formative.9842

Using Cocreation in the Process of Designing a Smartphone App for Adolescents and Young Adults With Cancer: Prototype Development Study

2018· article· en· W2899230310 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 Formative Research · 2018
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
FundersTrygFonden
KeywordsmHealthPsychological interventionYoung adultMedicineSmartphone applicationMobile appsQuality of life (healthcare)CancerCancer treatmentPopulationPsychologyGerontologyMultimediaNursingComputer scienceWorld Wide WebInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Adolescent and young adult (AYA) oncology and hematology is a developing field of medicine, focusing on a population that faces many challenges throughout medical treatment and beyond. Mobile health (mHealth) interventions provide exciting new opportunities for improvement of health-related quality of life (HRQoL) in AYAs with cancer. Many smartphone apps are currently available for AYAs with cancer; however, for AYAs with cancer, very few apps have been designed with direct input from AYAs themselves or have demonstrated their effectiveness and benefit. OBJECTIVE: The objective of this project was to develop the prototype of a smartphone app for AYAs with cancer through the process of cocreation, with the active input of AYAs who have received treatment for cancer directly impacting content and design. METHODS: Patients were recruited from a population of Danish AYAs who had received treatment for cancer between the ages of 15 and 29 years. The cocreation process was completed over the course of 3 workshops and intermittent ad hoc meetings, where the recruited AYAs worked in coordination with 1 nurse, 1 doctor, and 2 representatives from a digital agency and app developer. During each workshop, participants prioritized their goals for the app. After new app content was developed, feedback was requested from the participants, and changes were made accordingly. This iterative process continued until consensus on final product features and design were achieved. Health care professionals provided minimal input and primarily performed observational roles in the workshops, with direct interaction limited to introducing the project and explaining measurement features of the app in development. RESULTS: Three key features to be included in the prototype app were identified from the cocreation workshops: (1) a community forum; (2) an information library; and (3) a symptom and side-effect tracking tool. Bright, warm colors were selected for the app by the participating AYAs. The final prototype will be launched for pilot testing and implementation testing in February of 2018. CONCLUSIONS: The process of cocreation is a user-involved process that can create an end product that is useful and customized for the target population. This process, as such, is a beneficial process to utilize when addressing the specific needs of AYAs with cancer. The results of the here described app prototype will be evaluated in more detail in the near future. However, this description of the cocreation process in app development can be utilized for the creation of other mHealth interventions.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.096
GPT teacher head0.454
Teacher spread0.359 · 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