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Record W2802283329 · doi:10.2196/jopm.9877

A Decision Aid to Support Shared Decision Making About Mechanical Ventilation in Severe Chronic Obstructive Pulmonary Disease Patients (InformedTogether): Feasibility Study

2018· article· en· W2802283329 on OpenAlexvenueno aff
Melissa Basile, Johanna Andrews, Sonia Jacome, Meng Zhang, Andrzej Kozikowski, Negin Hajizadeh

Bibliographic record

VenueJournal of Participatory Medicine · 2018
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsnot available
FundersNational Institute on Aging
KeywordsPulmonary diseaseMedicineMechanical ventilationIntensive care medicineRespiratory failureIntubationClinical decision makingDiseaseEndotracheal intubationInternal medicineSurgery

Abstract

fetched live from OpenAlex

: Severe Chronic Obstructive Pulmonary Disease patients are often unprepared to make decisions about accepting intubation for respiratory failure. We developed a Web-based decision aid, InformedTogether, to facilitate severe Chronic Obstructive Pulmonary Disease patients’ preparation for decision making about whether to accept invasive mechanical ventilation for respiratory failure. : We describe feasibility testing of the InformedTogether decision aid. : Mixed methods, pre- and postintervention feasibility study in outpatient pulmonary and geriatric clinics. Clinicians used InformedTogether with severe Chronic Obstructive Pulmonary Disease patients. Patient-participants completed pre- and postassessments about InformedTogether use. The outcomes measured were the following: feasibility/acceptability, communication (Combined Outcome Measure for Risk Communication [COMRADE], Medical Communication Competency Scale [MCCS], Observing Patient Involvement [OPTION] scales), and effectiveness of InformedTogether on changing patients' knowledge, Decisional Conflict Scale, and motivation. : We enrolled 11 clinicians and 38 Chronic Obstructive Pulmonary Disease patients at six sites. Feasibility/acceptability: Clinicians and patients gave positive responses to acceptability questions (mean 74.1/89 max [SD 7.24] and mean 59.63/61 [SD 4.49], respectively). Communication: 96% of clinicians stated InformedTogether improved communication (modified MCCS mean 44.54/49 [SD 2.97]; mean OPTION score 32.03/48 [SD 9.27]; mean COMRADE Satisfaction 4.31/5.0 [SD 0.58]; and COMRADE Confidence 4.18/5.0 [SD 0.56]). Preference: Eighty percent of patients discussed preferences with their surrogates by 1-month. Effectiveness: Knowledge scores increased significantly after using InformedTogether (mean difference 3.61 [SD 3. 44], P=.001) and Decisional Conflict decreased (mean difference Decisional Conflict Scale pre/post -13.76 [SD 20.39], P=.006). Motivation increased after viewing the decision aid. : InformedTogether supports high-quality communication and shared decision making among Chronic Obstructive Pulmonary Disease patients, clinicians, and surrogates. The increased knowledge and opportunity to deliberate and discuss treatment choices after using InformedTogether should lead to improved decision making at the time of critical illness.

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)0.011
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.276
GPT teacher head0.504
Teacher spread0.228 · 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 designNon-randomized trial
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

Citations20
Published2018
Admission routes1
Has abstractyes

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