Evidence map›Paper›PMID 29843772›Full record

ArticleBMC pulmonary medicine2018

Effectiveness of a standardized electronic admission order set for acute exacerbation of chronic obstructive pulmonary disease.

Sachin R Pendharkar, Maria B Ospina, Danielle A Southern, Naushad Hirani, Jim Graham, Peter Faris, Mohit Bhutani, Richard Leigh, Christopher H Mody, Michael K Stickland

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Standardization of the Cirrhosis Admission Process and Its Impact on Inpatient Management and Patient Outcomes.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  3. Article
  4. Article
  5. Respiratory Health Strategic Clinical Network: Five years of innovation in respiratory care.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2019
    Article
  6. Observational
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sachin R PendharkarDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. sachin.pendharkar@ucalgary.ca.
Maria B OspinaRespiratory Health Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada.
Danielle A SouthernO'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Naushad HiraniDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Jim GrahamRespiratory Health Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada.
Peter FarisResearch Priorities and Implementation, Alberta Health Services, Calgary, AB, Canada.
Mohit BhutaniDivision of Pulmonary Medicine, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Richard LeighDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Christopher H ModyDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Michael K SticklandDivision of Pulmonary Medicine, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariation in hospital management of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) may prolong length of stay, increasing the risk of hospital-acquired complications and worsening quality of life. We sought to determine whether an evidence-based computerized AECOPD admission order set could improve quality and reduce length of stay.

methodsThe order set was designed by a provincial COPD working group and implemented voluntarily among three physician groups in a Canadian tertiary-care teaching hospital. The primary outcome was length of stay for patients admitted during order set implementation period, compared to the previous 12 months. Secondary outcomes included length of stay of patients admitted with and without order set after implementation, all-cause readmissions, and emergency department visits.

resultsThere were 556 admissions prior to and 857 admissions after order set implementation, for which the order set was used in 47%. There was no difference in overall length of stay after implementation (median 6.37 days (95% confidence interval 5.94, 6.81) pre-implementation vs. 6.02 days (95% confidence interval 5.59, 6.46) post-implementation, p = 0.26). In the post-implementation period, order set use was associated with a 1.15-day reduction in length of stay (95% confidence interval - 0.5, - 1.81, p = 0.001) compared to patients admitted without the order set. There was no difference in readmissions.

conclusionsUse of a computerized guidelines-based admission order set for COPD exacerbations reduced hospital length of stay without increasing readmissions. Interventions to increase order set use could lead to greater improvements in length of stay and quality of care.

Indexed as

Pulmonary Disease, Chronic ObstructiveCanadaDecision Support Systems, ManagementEvidence-Based PracticeHumansLength of StayMedical Order Entry SystemsPatient AdmissionPatient ReadmissionQuality ImprovementSymptom Flare UpTertiary Care CentersChronic obstructive pulmonary diseaseClinical decision supportLength of stayQuality improvement

Identifiers

PMID29843772
PMCPMC5975274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.