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Record W2793376611 · doi:10.2196/pediatrics.8677

Adolescents’ Perspectives on Using Technology for Health: Qualitative Study

2018· article· en· W2793376611 on OpenAlex
Ana Radović, Carolyn A. McCarty, Katherine Katzman, Laura P. Richardson

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 Pediatrics and Parenting · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
FundersNational Institute of Mental HealthAgency for Healthcare Research and Quality
KeywordsQualitative researchHealth careHealth information technologyAdolescent healthHealth technologyPsychologyInformation technologyKnowledge managementMedicineComputer scienceNursingSociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Background: Adolescents' wide use of technology opens up opportunities to integrate technology into health visits and health care. In particular, technology has the potential to influence adolescent behavior change by offering new avenues for provider communication and support for healthy choices through many different platforms. However, little information exists to guide the integration of technology into adolescent health care, especially adolescents' perspectives and preferences for what they find useful. Objective: This qualitative study aimed to take a broad approach to understanding adolescents' use of technology for supporting their overall health and to understand whether and how adolescents envision using technology to enhance their health and clinical care, particularly in communicating with their provider. Methods: Adolescents (13-18 years) were recruited to participate in semi-structured, in-depth individual interviews. Potential participants were approached in-person through the Seattle Children's Hospital Adolescent Medicine Clinic while they were waiting for consultation appointments, through outreach to youth who expressed interest in other local research study activities, and via flyers in waiting rooms. Interviews were recorded, transcribed, and analyzed using a thematic analysis approach. Results: Thirty-one adolescents (58% female, M= 15.2 years) were interviewed and described 3 main uses of technology: (1) to gather information, (2a) to share their own experiences and (2b) view others' experiences in order to gain social support or inspiration, and (3) to track behaviors and health goals. Perceived benefits and potential downsides were identified for technology use. Teens desired to use technology with their provider for 3 main reasons: (1) have questions answered outside of visits, (2) have greater access to providers as a way to build relationship/rapport, and (3) share data regarding behaviors in between visits. Social media was not a preferred method for communicating with providers for any of the youth due to concerns about privacy and intrusiveness. Conclusions: Although youth are avid users of technology in general, in regard to technology for health, they display specific use preferences especially in how they wish to use it to communicate with their primary care provider. Healthcare providers should offer guidance to youth with regard to how they have used and plan to use technology and how to balance potential positives and negatives of use. Technology developers should take youth preferences into account when designing new health technology and incorporate ways they can use it to communicate with their healthcare provider.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
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 head0.114
GPT teacher head0.542
Teacher spread0.427 · 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