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Record W3097014060 · doi:10.2196/21728

Web-Based Self-management Program (SPACE for COPD) for Individuals Hospitalized With an Acute Exacerbation of Chronic Obstructive Pulmonary Disease: Nonrandomized Feasibility Trial of Acceptability

2020· article· en· W3097014060 on OpenAlexvenueno aff
Linzy Houchen-Wolloff, Mark Orme, Amy Barradell, Lisa Clinch, Emma Chaplin, Nikki Gardiner, Sally Singh

Bibliographic record

VenueJMIR mhealth and uhealth · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
FundersNational Institute for Health and Care Research
KeywordsMedicineCOPDPulmonary rehabilitationExacerbationPhysical therapySelf-managementPulmonary diseaseThematic analysisAcute exacerbation of chronic obstructive pulmonary diseaseEmergency medicineInternal medicineQualitative research

Abstract

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BACKGROUND: Hospital admissions due to the acute exacerbation of chronic obstructive pulmonary disease (AECOPD) are costly for individuals and health services. Pulmonary rehabilitation (PR) is known to reduce hospital readmissions when delivered after hospitalization, but the uptake and completion of PR following hospitalization remains poor (<10% of those eligible in the UK audit data). A web-based platform of the SPACE (Self-management Program of Activity Coping and Education) for COPD (chronic obstructive pulmonary disease) has previously shown promising results in patients with stable COPD but has not been tested following an AECOPD. OBJECTIVE: This study aims to assess the feasibility and acceptability of a web-based self-management program. METHODS: A nonrandomized feasibility study for patients with confirmed AECOPD who were deemed web literate was conducted. All patients consented during their hospitalization and received access to the website following discharge in addition to usual care. The program aims to facilitate patients to better understand and manage their condition through education and home-based exercises. Participants were asked to complete the Bristol COPD Knowledge Questionnaire at baseline and after 6 months. A total of 14 participants were also interviewed (n=8 completers; n=6 noncompleters) regarding their experiences with the web-based program and trial. The interviews were analyzed using thematic analysis. RESULTS: In total, 2080 patients were screened for eligibility, of which 100 patients (age: mean 71.2 years, SD 9.3 years; male: 55/100, 55%; forced expiratory volume in 1 second/forced vital capacity ratio: mean 0.46, SD 0.14; pack-years: mean 50.2, SD 31.0; current smokers: 35/100, 35%) were recruited (4.8% of those screened). The main reason for ineligibility was a lack of web literacy (1366/1980, 68.98%). In total, 18% (18/100) of patients had completed the web program by 6 months, with others still registered in the program (27/100, 27%), and more than half did not register (55/100, 55%). There was a mean change in Bristol COPD Knowledge Questionnaire scores at 6 months of 7.8 (SD 10.2) points. Qualitative interviews identified three main themes: preparing for, engagement with, and benefits of the study and program. A total of 57% (57/100) accepted a referral to PR on discharge and 19% (19/100) had completed the program after 6 months. CONCLUSIONS: On the basis of the challenges of recruiting, retaining, and engaging participants in a web-based self-management program, it is not a feasible approach to roll out widely. This study acknowledges that this is a challenging time for patients with an AECOPD to engage in exercise and self-management education. However, for patients who were able to engage in such an intervention, the completion rate of PR was double the previous audit estimates from the United Kingdom, disease knowledge improved, and the intervention was of value to patients. TRIAL REGISTRATION: ISRCTN Registry 13081008; https://www.isrctn.com/ISRCTN13081008.

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)0.010
metaresearch head score (Gemma)0.013
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 score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.002

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 head0.035
GPT teacher head0.381
Teacher spread0.346 · 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

Citations27
Published2020
Admission routes1
Has abstractyes

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