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Record W2900706621 · doi:10.7759/cureus.3588

Do Guidelines Influence Emergency Department Staff Behaviours and Improve Patient Outcomes? Evaluation of a Multifaceted Intervention for the Implementation of Local Acute Exacerbations of Chronic Obstructive Pulmonary Disease Guidelines

2018· article· en· W2900706621 on OpenAlexaff
Felix Zhou, Kavish Chandra, Caitlin Robertson, Jacqueline Fraser, Josh Scoville, Natasha DeSousa, C. Vaillancourt, Paul Atkinson

Bibliographic record

VenueCureus · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsMemorial University of NewfoundlandSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsMedicineEmergency departmentCOPDGuidelineEmergency medicinePulmonary diseasePhysical therapyInternal medicineNursing

Abstract

fetched live from OpenAlex

Introduction Published national guidelines on chronic obstructive pulmonary disease (COPD) highlight the importance of oxygen therapy, bronchodilators, corticosteroids, and appropriate antibiotics during acute exacerbations of COPD (AECOPD). We wished to assess how the implementation of local COPD guidelines affects emergency department (ED) staff awareness, knowledge, the use of such guidelines, and patient outcomes, including treatment failure and rates of return to the ED. Methods This study was conducted at a tertiary hospital ED. Local COPD guidelines were developed by a quality improvement group. Guidelines were posted in the department, and educational sessions were provided for staff. We conducted a retrospective chart review and looked at 1849 patient visits before and after COPD guideline implementation. All visits with a diagnosis of COPD or AECOPD were included in the study (for a total of 130 patient visits), and data were collected using a standardized abstraction tool. For non-admitted patients, we recorded 30-day return rates and treatment failures occurring within 30 days of presenting to the ED. Pre- and post-implementation outcomes were analyzed with Fisher's exact tests. We also assessed ED staff awareness, knowledge, and use of COPD guidelines through surveys given out before implementation, and both one and 10 months after the implementation. We calculated proportions and 95% confidence intervals (CI) for our surveys. Pre- and post-implementation survey responses were compared with Fisher's exact tests. Results For ED physicians, the survey response rate was 78%, 79%, and 58% at pre-implementation, one-month follow-up, and 10-month follow-up, respectively. Prior to implementation, 14.3% (95% CI 4.1%-35.5%) were aware and 0% (0%-18.2%) reported using guidelines. One month after implementation, 90.9% (71.0%-98.7%) were aware and 81.8% (60.9%-93.3%) reported using guidelines. At 10 months, 100% (76.1%-100%) were aware and 100% (82%-100%) reported using local guidelines. Similar trends were seen among nurses and respiratory therapists. To assess actual guideline use, 130 visits were evaluated (51 visits prior to implementation and 79 post-implementation). Prior to implementation, 57% (43%-70%) received bronchodilators, systemic steroids, and antibiotics appropriately. Following guideline implementation, 57% (46%-67%) received the respective treatments (p=1.0). For patient-related outcomes, 86 non-admission patient visits were evaluated (35 visits prior to implementation and 51 post-implementation). Prior to guideline implementation, 17% (8%-33%) failed their initial AECOPD treatment, compared to 10% (4%-21%) following guideline implementation (p=0.34). Prior to guideline implementation, 23% (12%-39%) returned to the ED within 30 days in the pre-implementation period while 14% (7%-26%) returned post-implementation (p=0.39). Conclusion Our introduction of local COPD guidelines was successful at increasing self-reported awareness, knowledge, and the use of best practice guidelines among ED staff. At the 10-month follow-up, increased awareness, knowledge, and use of COPD guidelines among ED staff was maintained. However, in practice, guideline adherence, treatment failure, and return rates did not improve significantly after the implementation of local guidelines.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.619

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.055
GPT teacher head0.428
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 teacher head, 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".

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Citations4
Published2018
Admission routes1
Has abstractyes

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