MétaCan
Menu
Back to cohort
Record W4320914223 · doi:10.2196/41285

Challenges and Opportunities of the Use and Adoption of Telemedicine for Diabetes Care and Management During the COVID-19 Pandemic and Beyond

2023· article· en· W4320914223 on OpenAlex
Rabab Altabtabaei, Dari Alhuwail

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

VenueIproceedings · 2023
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsnot available
Fundersnot available
KeywordsTelemedicineThematic analysisPandemicMedicineDiabetes managementHealth careContext (archaeology)Qualitative researchExploratory researchPopulationNursingMedical emergencyCoronavirus disease 2019 (COVID-19)Diabetes mellitusSociologyPolitical sciencePathologyDiseaseEnvironmental health

Abstract

fetched live from OpenAlex

Background More than half of the world’s population deals with noncommunicable diseases causing premature death. Leveraging digital solutions like telemedicine, health care providers (HCPs) can provide medical care remotely. Yet, there is little known about the contextual challenges and opportunities of leveraging telemedicine solutions in varying socioeconomic and cultural contexts, including Kuwait. Objective The aims of this paper were as follows: (1) uncover the challenges and opportunities of adopting and using telemedicine for diabetes care and management from the viewpoints of HCPs and patients with diabetes; (2) explore nonfunctional requirements for telemedicine applications for diabetes care and management; and (3) offer recommendations to improve the adoption of telemedicine in Kuwait’s health care system for diabetes care and management. Methods Through semistructured interviews, this study employed a qualitative and exploratory design to uncover rich context-specific findings. Participants were recruited via social media platforms. The analysis followed a thematic analysis approach and used the framework method. Researchers used the “diffusion of innovation” model as a lens to guide the analysis and interpretation of the results. Results A total of 20 interviews were conducted—10 (50%) HCPs and 10 (50%) patients with diabetes. The participants were familiar with and interested in adopting telemedicine. Challenges included a lack of telemedicine infrastructure and how to increase patients’ technology awareness. Patients with diabetes mentioned that telemedicine would save time and effort. The participants suggested developing a secure, user-friendly telemedicine solution. They stated the importance of telemedicine during the pandemic, as many diabetes cases can be followed up online, which reduces virus spread and increases patients’ safety. Conclusions The findings from this study can give a better understanding of what HCPs and patients with diabetes need to accept the adoption of telemedicine in resource-rich countries like Kuwait. The COVID-19 pandemic impacted the ways HCPs deliver medical care to patients and encouraged both HCPs and patients to explore the digital platform for continuous care and management of diabetes. Conflicts of Interest None declared.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.239

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 head0.179
GPT teacher head0.351
Teacher spread0.172 · 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