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Record W2035102633 · doi:10.1258/jtt.2009.090812

Home telehealth for chronic obstructive pulmonary disease: a systematic review and meta-analysis

2010· review· en· W2035102633 on OpenAlexaff
Julie Polisena, Khai Tran, Karen Cimon, Brian Hutton, Sarah McGill, Krisan Palmer, Richard E. Scott

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2010
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of CalgaryCanadian Agency for Drugs and Technologies in Health
Fundersnot available
KeywordsTelehealthMedicinePulmonary diseaseCOPDRandomized controlled trialMeta-analysisPsychological interventionEmergency departmentMEDLINETelemedicineEmergency medicinePhysical therapyMedical emergencyFamily medicineHealth careInternal medicineNursing

Abstract

fetched live from OpenAlex

We conducted a systematic review of the literature about home telehealth for chronic obstructive pulmonary disease (COPD) compared with usual care. An electronic literature search identified 6241 citations. From these, nine original studies (10 references) relating to 858 patients were selected for inclusion in the review. Four studies compared home telemonitoring with usual care, and six randomized controlled trials compared telephone support with usual care. Clinical heterogeneity was present in many of the outcomes measured. Home telehealth (home telemonitoring and telephone support) was found to reduce rates of hospitalization and emergency department visits, while findings for hospital bed days of care varied between studies. However, the mortality rate was greater in the telephone-support group compared with usual care (risk ratio = 1.21; 95% CI: 0.84 to 1.75). Home telehealth interventions were similar or better than usual care for quality of life and patient satisfaction outcomes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.798
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0150.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.049
GPT teacher head0.373
Teacher spread0.324 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations310
Published2010
Admission routes1
Has abstractyes

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