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Record W2050314878 · doi:10.1258/135763303321327911

Use of ISDN video-phones for clients receiving palliative and antenatal home care

2003· article· en· W2050314878 on OpenAlexaff
Masako Miyazaki, Michelle Stuart, Lili Liu, Sharon Tell, Marianne C. Stewart

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2003
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsCapital District Health AuthorityTelus (Canada)University of Alberta
Fundersnot available
KeywordsPalliative careMedicinePhoneNursingFamily medicineMedical emergency

Abstract

fetched live from OpenAlex

We examined the use of ISDN video-phones by health professionals and two types of home care clients: those receiving palliative care and those receiving antenatal care. In the palliative care group, there were four female clients and 15 health professionals; these clients on average had the video-phones at home for six weeks and made 12.5 calls per week. The antenatal care group consisted of six female clients and eight female registered nurses; these clients on average also had the video-phones at home for six weeks and made 12.5 calls per week. Exit interviews were conducted with three clients and eight staff in the palliative care group, and with six clients and three staff in the antenatal care group. Palliative care clients and their families commented that the visual feature of the phone enhanced the care that they received. In the antenatal group, the video-phone was used mainly for booking appointments and arranging home visits. In general, the technology was well received by clients and care providers.

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)0.001
metaresearch head score (Gemma)0.008
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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

Citations18
Published2003
Admission routes1
Has abstractyes

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