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Record W2075860956 · doi:10.1089/tmj.2010.0142

Effects of Home Telemonitoring to Support Improved Care for Chronic Obstructive Pulmonary Diseases

2011· article· en· W2075860956 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTelemedicine Journal and e-Health · 2011
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsHealth CanadaHEC MontréalUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsMedicinePulmonary diseasePatient satisfactionQuality of life (healthcare)EmpowermentLikert scalePatient EmpowermentPhysical therapyNursingPsychologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the impact of a home telemonitoring technology on patients with chronic obstructive pulmonary disease in terms of care satisfaction, patient empowerment, improved quality of life, and utilization of hospital and home care. DESIGN: A quasi-experimental retrospective and prospective design was developed with a matched control group to compare the effects of telemonitoring (the experimental group, n = 23) with the traditional homecare offering (the control group, n = 23). MEASUREMENTS: Satisfaction, patient empowerment, and quality of life were measured using validated Likert scales, whereas the data on care utilization were collected from the participating patients' medical record. RESULTS: Mixed results were observed. The clinical effects of home telemonitoring were very positive in terms of patients' satisfaction and empowerment. The perceptions of care providers as well as those of patients were congruent in this respect. Also, the study suggests that telemonitoring may have a positive effect on quality of life for patients with chronic obstructive pulmonary diseases. In contrast, the results were disappointing in terms of resource savings for the use of both homecare and hospital care. CONCLUSION: Capturing the full potential of these new technologies will require a much more fundamental reorganization of work than just a simple deployment of the technology.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.024
GPT teacher head0.323
Teacher spread0.299 · 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