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Record W4313475876 · doi:10.1177/17151635221140412

“It’s a lonely battle”: A qualitative study of older adult Canadians’ experiences with chronic obstructive pulmonary disease medication adherence and support

2022· article· en· W4313475876 on OpenAlexaffvenueabout
Leanne Skerry, Emily Kervin, Tracy A. Freeze, Andrew Brillant, Jennifer Woodland, Natasha Hanson

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2022
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsHorizon Health Network
Fundersnot available
KeywordsMedicinePsychosocialCOPDThematic analysisQualitative researchHealth literacyPulmonary diseasePharmacyBattleSelf-managementDisease managementDiseaseFamily medicineHealth carePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Background: Medication adherence is critical for optimal management of chronic obstructive pulmonary disease (COPD) and is influenced by patient, treatment and societal factors. Currently, little is known about the patient perspectives of older adult Canadians with COPD regarding medication adherence. Therefore, the purpose of this study was to explore the lived experiences of older Canadian adults with COPD regarding medication adherence and management. Methods: Semi-structured interviews were conducted with 20 community-dwelling older adults with COPD, and iterative thematic analysis was performed. Results: Six themes emerged from these data: (1) continuity of care, (2) importance of pharmacy for information and care, (3) medication self-management, (4) "there needs to be more information," (5) drug costs a concern and (6) "it's a lonely battle." Conclusion: Findings suggested a need for improved continuity of care, disease-related information provision and means of addressing psychosocial needs. Holistic approaches to patient education and self-management, with consideration for varying health literacy, are needed.

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)0.008
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.303

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0230.011
Scholarly communication0.0040.002
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.325
Teacher spread0.294 · 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 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

Citations9
Published2022
Admission routes3
Has abstractyes

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Same venueCanadian Pharmacists Journal / Revue des Pharmaciens du CanadaSame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207