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Taking the call-bell home: a qualitative evaluation of Tele-HomeCare for children

2006· article· en· W2038947510 on OpenAlexafffund
Nancy L. Young, Wendy Barden, Patricia McKeever, Paul T. Dick

Bibliographic record

VenueHealth & Social Care in the Community · 2006
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersHealth CanadaOntario Ministry of Health and Long-Term Care
KeywordsHealth careNursingTelehealthQualitative researchPsychologyMedicineTelemedicine

Abstract

fetched live from OpenAlex

Tele-HomeCare (THC) delivers health care at home using telephone technologies. A THC service was developed as an adjunct to existing hospital and community care systems. It connected healthcare providers to children and families at home, during the initial transition from hospital to home, using video-conferencing phones and remote vital signs monitors. The goal was to support the transition from hospital to home, for children with subacute healthcare needs. This paper reports the qualitative evaluation of THC and describes the experiences of families supported by THC. A total of 16 mothers, four fathers and two adolescents from 16 families participated in a series of interviews conducted before, during and after THC. The interviews focused on the impact of THC on the children, on the families, and on their overall healthcare experience. Analysis of their accounts identified three subthemes: the stable child, a sense of security, and the healthcare-proficient parent. These subthemes were consistent across all time points and participants. Together they contributed to the overall effect of THC: the timely reunification of the family at home. THC was consistently reported to be an important resource that supported children and families during the transition from hospital to home. The benefits to children and families observed in this study may have also been a consequence of returning to their home environment, since THC allowed these children to be discharged home at a much earlier period. However, our findings are consistent with previous reports of the benefits of THC. Thus, THC is a successful method of healthcare service delivery that enables a safe return home with professional support provided remotely.

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)0.026
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.193
GPT teacher head0.558
Teacher spread0.365 · 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.

Study designQualitative
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

Citations45
Published2006
Admission routes2
Has abstractyes

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