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Rural Residence Associated with Receipt of Recommended Postdischarge Chronic Obstructive Pulmonary Disease Care among a Cohort of U.S. Veterans

2024· article· en· W4404183825 on OpenAlexaff
Fernando Picazo, Kevin I. Duan, Travis Hee Wai, Sophia Hayes, A.G. Leonhard, Giuseppe Allan Fonseca, Robert Plumley, Kristine Beaver, Lucas M. Donovan, David H. Au, Laura C. Feemster

Bibliographic record

VenueAnnals of the American Thoracic Society · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsCentre for Advancing Health OutcomesVancouver Coastal Health Research InstituteUniversity of British ColumbiaVancouver Coastal Health
FundersU.S. Department of Veterans Affairs
KeywordsMedicineCOPDReceiptResidenceCohortEmergency medicineCohort studyFamily medicineIntensive care medicineGerontologyPhysical therapyEnvironmental healthInternal medicineDemography

Abstract

fetched live from OpenAlex

Abstract Rationale Individuals with chronic obstructive pulmonary disease (COPD) in rural areas experience inequitable access to care. Objectives To assess whether rural residence is associated with receipt of recommended postdischarge COPD care. Methods We conducted a cohort study of all U.S. veterans discharged from a Veterans Affairs medical center after COPD hospitalization from 2010 to 2019. Rural residence was defined by rural-urban commuting area classification. Our primary outcome was the proportion of recommended care received within 90 days of hospital discharge, including smoking cessation therapy, appropriate management of supplemental oxygen, appropriate prescription of inhaled therapy, and pulmonary rehabilitation. We conducted multivariable linear regression between rural residence and the proportion of recommended care received, adjusting for age, sex, race, ethnicity, comorbidities, and primary care facility type. We tested multivariable linear probability models for each of the recommended therapies. Results Of 67,649 patients, 7,370 (10.8%) resided in rural areas and 2,000 (3.0%) in highly rural areas. Overall, the proportion of recommended COPD treatments received was low (mean, 15.0%; standard deviation, 21.0%). Compared with urban residence, patients with rural and highly rural residence received fewer recommended COPD care treatments (rural estimate [adjusted percentage difference (95% confidence interval)], −1.1 [−1.6, −0.6]; highly rural estimate, −1.2 [−2.1, −0.3]). Rural and highly rural residence were associated with lower likelihood of receiving appropriate inhaled therapy escalation (rural estimate, −4.0 [−5.1, −3.0]; highly rural estimate, −3.0 [−5.0, −1.1]) and pulmonary rehabilitation referral (rural estimate, −1.2 [−1.6, −0.9]; highly rural estimate, −2.1 [−2.7, −1.4]) but a higher likelihood of receiving smoking cessation therapy (rural estimate, 5.4 [3.3, 7.5]; highly rural estimate, 7.2 [3.3, 11.2]). There was no significant difference in appropriate oxygen management (rural estimate, −1.0 [−2.8, 0.9]; highly rural estimate, 3.1 [−0.7, 6.9]). Conclusions Patients across the rural–urban spectrum received few recommended postdischarge COPD treatments. Health systems approaches are needed to address widespread underuse of evidence-based COPD care.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.436
Teacher spread0.373 · 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 designObservational
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

Citations3
Published2024
Admission routes1
Has abstractyes

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