Evidence map›Paper›PMID 27130579›Full record

ArticleJournal of hospital medicine2016

How well do patients and providers agree on the severity of dyspnea?

Mihaela S Stefan, Aruna Priya, Benjamin Martin, Penelope S Pekow, Michael B Rothberg, Robert J Goldberg, Ernest DiNino, Peter K Lindenauer

Abstract read
In one paragraph

Article in Journal of hospital medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Predicting outcome for ambulance patients with dyspnea: a prospective cohort study.Journal of the American College of Emergency Physicians open · 2020
    Article
  9. Observational
  10. Respiratory Suffering in the ICU: Time for Our Next Great Cause.American journal of respiratory and critical care medicine · 2019
    Article
  11. Article
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

8 authors at 5 institutions in 1 country.

Mihaela S StefanCenter for Quality of Care Research, Baystate Medical Center, Springfield, Massachusetts. mihaela.stefan@baystatehealth.org.
Aruna PriyaCenter for Quality of Care Research, Baystate Medical Center, Springfield, Massachusetts.
Benjamin MartinTufts University School of Medicine, Boston, Massachusetts.
Penelope S PekowCenter for Quality of Care Research, Baystate Medical Center, Springfield, Massachusetts.
Michael B RothbergMedicine Institute, Cleveland Clinic, Cleveland, Ohio.
Robert J GoldbergDivision of Epidemiology of Chronic Diseases & Vulnerable Populations and Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts.
Ernest DiNinoDivision of Pulmonary and Critical Care Medicine, Baystate Medical Center, Springfield, Massachusetts.
Peter K LindenauerCenter for Quality of Care Research, Baystate Medical Center, Springfield, Massachusetts.
Baystate Medical Center · USTufts University · USCleveland Clinic · USUniversity of Massachusetts Amherst · USUniversity of Massachusetts Chan Medical School · US

Funding

TUFTS CLINICAL AND TRANSLATION SCIENCE INSTITUTE (UL1): BPCAUL1RR025752 · NCRR · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2008 to 2011
$17.6M
Comparing Noninvasive and Invasive Ventilation in Acute Respiratory FailureK01HL114631 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI STEFAN, MIHAELA S · 2013 to 2016
$565k
NCRR NIH HHS UL1 RR025752NHLBI NIH HHS K01 HL114631
6 · The paper itself

Abstract

backgroundUnderstanding the severity of patients' dyspnea is critical to avoid under- or overtreatment of patients with acute cardiopulmonary conditions.

objectiveTo evaluate the agreement between dyspnea assessment by patients and healthcare providers and to explore which factors contribute to discordance in assessment. DESIGN, SETTINGS AND

participantsProspective study of patients hospitalized for acute cardiopulmonary diseases at an urban teaching hospital. INTERVENTION AND MEASUREMENTS: A numerical rating scale (0-10) was used to assess dyspnea severity as perceived by patients and assessed by providers. Agreement was defined as a score within ±1 between patient and healthcare provider; differences of ≥2 points were considered over- or underestimations. The relationship between patient self-perceived dyspnea severity and provider rating was assessed using a weighted kappa coefficient.

resultsOf the 138 patients enrolled, 33% had a diagnosis of heart failure, 30% chronic obstructive pulmonary disease, and 13% pneumonia; median age was 72 years, and 57% were women. In all, 96 patient-physician and 138 patient-nurses pairs were included in the study. The kappa coefficient for agreement was 0.11 (95% confidence interval [CI]: 0.01 to 0.21) between patients and physicians and 0.18 (95% CI: 0.12 to 0.24) between patients and nurses. Physicians underestimated patients' dyspnea 37.9% of the time and overestimated it 25.8% of the time, whereas nurses underestimated it 43.5% of the time and overestimated it 12.4% of the time. Admitting diagnosis was the only patient factor associated with discordance.

conclusionsAgreement between patient perception of dyspnea and healthcare providers' assessment is low. Future studies should prospectively test whether routine assessment of dyspnea results in better patient outcomes. Journal of Hospital Medicine 2016;11:701-707. © 2016 Society of Hospital Medicine.

Indexed as

Health PersonnelPhysician-Patient RelationsSelf ReportSeverity of Illness IndexAgedDyspneaFemaleHumansMaleSurveys and Questionnaires

Identifiers

PMID27130579
PMCPMC6423510
OpenAlexW2344812793

What OpenQuestion holds

Textmetadata
LicenceTDM
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.