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Record W6890268217 · doi:10.35010/ecuad:16905

INDEPENDENT HEROES: Supporting Type 1 Diabetic Young Adults’ Transition to Independent Living

2021· article· en· W6890268217 on OpenAlexaboutno aff

Bibliographic record

VenueEmily Carr University of Art and Design Repository · 2021
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsHypoglycemiaPsychological interventionWearable computerNarrativeActive listeningYoung adultType 2 diabetesParticipatory design

Abstract

fetched live from OpenAlex

This Master of Design Thesis project focuses on the condition of severe hypoglycemia (low blood sugar) in young adults living with type 1 diabetes by carefully understanding the unique challenges they face in transitioning to adult care. This research surfaces the needs that often get blurred in the transition process and offers a design for an appropriate solution to support the identified issues. Canadian young adults living with type 1 diabetes often find themselves at the risk of hypoglycemia during emerging adulthood. The concept of emerging adulthood has not been considered extensively in managing chronic illness and transition from pediatric to adult care. Yet, this is a critical time when a person may first assume full responsibility for their diabetes self-care while simultaneously facing all the usual challenges young adults face. Additionally, the fear of hypoglycemia is strongest in this group. A review of the literature informs us about previous work done in this field. However, most current interventions are in the form of bulky printed materials. Another critical issue with the development of most recent tools is the absence of user involvement in the creative process leading to unmet user needs. In this project, participatory design methodologies were introduced in a human-centered approach, collaborating with young adults to understand and address the transition process gap. It included actively listening to user narratives and co-creating the solution. The synthesis of primary and secondary research resulted in the designed outcome of a smart wearable device that will work in conjunction with the Continuous glucose monitor (CGM) and alerts the bystander and emergency contacts by turning them into potential lifesavers. It will inform them of a diabetic emergency and guide them through the life-saving instructions. Additionally, it will alert the medical emergency services for prompt assistance if needed. The solution attempts to provide early intervention during emergency and could also alleviate the fear of hypoglycemia in young adults. This in turn will reduce the load on the already burdened healthcare system.

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)0.000
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 score0.418
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.011
GPT teacher head0.223
Teacher spread0.213 · 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
Published2021
Admission routes1
Has abstractyes

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