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Record W1993672718 · doi:10.1258/1357633011936219

Evaluation of a routine telepsychiatry service

2001· article· en· W1993672718 on OpenAlexaffabout
J Simpson, S Doze, Doug Urness, David Hailey, Philip Jacobs

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2001
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsUniversity of AlbertaWinnipeg Regional Health Authority
Fundersnot available
KeywordsTelepsychiatryMental healthVideoconferencingMedicineService (business)Affect (linguistics)TelemedicineNursingMental health servicePsychiatryPsychologyHealth careBusinessMultimediaMarketingComputer science

Abstract

fetched live from OpenAlex

An assessment was undertaken of a routine telepsychiatry service in rural areas of a Canadian province as a follow-up to a pilot telepsychiatry project. Over two years, there were 546 consultations at the five participating general hospitals, although the level of use varied considerably between them. Health professionals expressed high satisfaction with the service. While there were equipment problems in 17% of all consultations in the second year, they did not seem to affect acceptance of the technique. A cost analysis comparing consultations provided by a visiting psychiatrist and telepsychiatry found a break-even point of 348 consultations a year. However, when use of the videoconferencing network for administrative meetings was considered, the break-even point was 224 consultations a year, substantially below the actual utilization of telepsychiatry. Telepsychiatry appeared to result in increased access to community mental health services, suggesting future increased demand for these. From the perspective of health authorities and health professionals, telepsychiatry proved to be a useful and sustainable addition to existing mental health 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.333
Threshold uncertainty score0.662

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.051
GPT teacher head0.378
Teacher spread0.327 · 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 source (direct Gemma or distilled Codex), 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

Citations65
Published2001
Admission routes2
Has abstractyes

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