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Record W3087552240 · doi:10.22605/rrh5754

Patient and provider perspectives on eHealth interventions in Canada and Australia: a scoping review

2020· review· en· W3087552240 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRural and Remote Health · 2020
Typereview
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsCarleton University
Fundersnot available
KeywordseHealthPsychological interventionTelehealthMedicineNursingTelemedicineHealth careMedical educationPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Despite the promises of universal health care in most developed countries, health inequities remain prevalent within and between rural and remote communities. Remote health technologies are often promoted as solutions to increase health system efficiency, to enhance quality of care, and to decrease gaps in access to care for rural and remote communities. However, there is mixed evidence for these interventions, particularly related to how they are received and perceived by health providers and by patients. Health technologies do not always adequately meet the needs of patients or providers. To examine this, a broad-based scoping review was conducted to provide an overview of patient and provider perspectives of eHealth initiatives in rural communities. The unique objective of this review was to prioritize the voices of patients and providers in discussing the disparities between health interventions and needs of people in rural communities. eHealth initiatives were reviewed for rural communities of Australia and Canada, two countries that have similar geographies and comparable health systems at the local level. METHODS: Searches were performed in PubMed, Scopus, and Web of Science with results limited from 2000 to 2018. Keywords included combinations of 'eHealth', 'telehealth', 'telemedicine', 'electronic health', and 'rural/remote'. Individual patient and provider perspectives on health care were identified, followed by qualitative thematic coding based on the type of intervention, the feedback provided, the affected population, geographic location, and category of individual providing their perspective. Quotes from patients and providers are used to illustrate the identified benefits and disadvantages of eHealth technologies. RESULTS: Based on reviewed literature, 90.1% of articles reported that eHealth interventions were largely positive. Articles noted decreased travel time (18%), time/cost saving (15.1%), and increased access to services (13.9%) as primary benefits to eHealth. The most prevalent disadvantages of eHealth were technological issues (24.5%), lack of face-to-face contact (18.6%), limited training (10.8%), and resource disparities (10.8%). These results show where existing eHealth interventions could improve and can inform policymakers and providers in designing new interventions. Importantly, benefits to eHealth extend beyond geographic access. Patients reported ancillary benefits to eHealth that include reduced anxiety, disruption on family life, and improved recovery time. Providers reported closer connections to colleagues, improved support for complex care, and greater eLearning opportunity. Barriers to eHealth are recognized by patient and providers alike to be largely systemic, where lack of rural high-speed internet and unreliability of installed technologies were significant. CONCLUSION: Regional and national governments are seen as the key players in addressing these technical barriers. This scoping review diverges from many reviews of eHealth with the use of first-person perspectives. It is hoped that this focus will highlight the importance of patient voices in evaluating important healthcare interventions such as eHealth and associated technologies.

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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.671
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.451
Teacher spread0.340 · 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