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Record W4383497448 · doi:10.1016/j.hctj.2023.100008

Asthma patients' perspectives on telehealth in disease management: A focus group study

2023· article· en· W4383497448 on OpenAlexafffund
Y.S. Chae, Noah Tregobov, Austin McMillan, Céline Bergeron, Iraj Poureslami

Bibliographic record

VenueHealth Care Transitions · 2023
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsVancouver Native Health SocietyWestern UniversitySimon Fraser UniversityUniversity of British Columbia
FundersCanadian Institutes of Health ResearchCanadian Health Services Research Foundation
KeywordsTelehealthFocus groupAsthmaMedicineFocus (optics)Disease managementDiseaseFamily medicinePhysical therapyTelemedicineHealth careSociologyPolitical scienceInternal medicine

Abstract

fetched live from OpenAlex

Objectives: health care among adult asthma patients, particularly in patients with limited access to specialty lung clinic services, requires further investigation. This study aimed to explore asthma patients' perceived applicability of TH in asthma self-management practices, to inform a future TH-based interventional study. Methods: A qualitative exploratory study design was applied during virtual, patient-orientedfocus group sessions and individual telephone interviews. Participants responded to questions spanning 4 main topics: 1) understanding of and beliefs on TH; 2) perceptions about the application of electronic asthma action plans; 3) using tele-communication to interact with a care provider; and 4) prospective TH features for asthma management. Data were collected from 25 patients with asthma (19 attended one of two focus groups and 6 were interviewed individually). Codes and definitions were developed inductively and assembled into a coding framework. Transcripts were subsequently coded, and thematic analysis was performed. Results: Group discussions and individual interviews generated 4 TH-related themes: 1) past experiences and future use of TH; 2) perceived advantages and disadvantages of TH in asthma management; 3) integration of TH into self-management practices; and 4) features of a practical TH model for the current healthcare system. Conclusion: Participants input in the design of TH interventions for asthma management could improve access to and quality of virtual care services.

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 score0.599
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.012
GPT teacher head0.308
Teacher spread0.296 · 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
Published2023
Admission routes2
Has abstractyes

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