Literature DB >> 23197319

Flash mob research: a single-day, multicenter, resident-directed study of respiratory rate.

Matthew W Semler1, Daniel G Stover1, Andrew P Copland2, Gina Hong3, Michael J Johnson4, Michael S Kriss5, Hannah Otepka6, Li Wang7, Brian W Christman1, Todd W Rice8.   

Abstract

BACKGROUND: Vital signs are critical data in the care of hospitalized patients, but the accuracy with which respiratory rates are recorded in this population remains uncertain. We used a novel flash mob research approach to evaluate the accuracy of recorded respiratory rates in inpatients.
METHODS: This was a single-day, resident-led, prospective observational study of recorded vs directly observed vital signs in nonventilated patients not in the ICU on internal medicine teaching services at six large tertiary-care centers across the United States.
RESULTS: Among the 368 inpatients included, the median respiratory rate was 16 breaths/min for the directly observed values and 18 breaths/min for the recorded values, with a median difference of 2 breaths/min (P < .001). Respiratory rates of 18 or 20 breaths/min accounted for 71.8% (95% CI, 67.1%-76.4%) of the recorded values compared with 13.0% (95% CI, 9.5%-16.5%) of the directly observed measurements. For individual patients, there was less agreement between the recorded and the directly observed respiratory rate compared with pulse rate.
CONCLUSIONS: Among hospitalized patients across the United States, recorded respiratory rates are higher than directly observed measurements and are significantly more likely to be 18 or 20 breaths/min.

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Year:  2013        PMID: 23197319      PMCID: PMC3747725          DOI: 10.1378/chest.12-1837

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  19 in total

1.  Identification of deteriorating patients on general wards; measurement of vital parameters and potential effectiveness of the Modified Early Warning Score.

Authors:  Jeroen Ludikhuize; Susanne M Smorenburg; Sophia E de Rooij; Evert de Jonge
Journal:  J Crit Care       Date:  2012-02-14       Impact factor: 3.425

2.  The vexatious vital: neither clinical measurements by nurses nor an electronic monitor provides accurate measurements of respiratory rate in triage.

Authors:  Paris B Lovett; Jason M Buchwald; Kai Stürmann; Polly Bijur
Journal:  Ann Emerg Med       Date:  2005-01       Impact factor: 5.721

3.  Long-term effect of introducing an early warning score on respiratory rate charting on general wards.

Authors:  Jackie McBride; Debbie Knight; Jo Piper; Gary B Smith
Journal:  Resuscitation       Date:  2005-04       Impact factor: 5.262

4.  Introduction of the medical emergency team (MET) system: a cluster-randomised controlled trial.

Authors:  Ken Hillman; Jack Chen; Michelle Cretikos; Rinaldo Bellomo; Daniel Brown; Gordon Doig; Simon Finfer; Arthas Flabouris
Journal:  Lancet       Date:  2005 Jun 18-24       Impact factor: 79.321

5.  R = 20: bias in the reporting of respiratory rates.

Authors:  Shivani Gupta Mukkamala; Chris Gennings; Richard P Wenzel
Journal:  Am J Emerg Med       Date:  2008-02       Impact factor: 2.469

6.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

7.  Clinical antecedents to in-hospital cardiopulmonary arrest.

Authors:  R M Schein; N Hazday; M Pena; B H Ruben; C L Sprung
Journal:  Chest       Date:  1990-12       Impact factor: 9.410

8.  Emergency department hypotension predicts sudden unexpected in-hospital mortality: a prospective cohort study.

Authors:  Alan E Jones; Vasilios Yiannibas; Charles Johnson; Jeffrey A Kline
Journal:  Chest       Date:  2006-10       Impact factor: 9.410

9.  End-tidal carbon dioxide monitoring during procedural sedation.

Authors:  James R Miner; William Heegaard; David Plummer
Journal:  Acad Emerg Med       Date:  2002-04       Impact factor: 3.451

10.  Respiratory rate predicts cardiopulmonary arrest for internal medicine inpatients.

Authors:  J F Fieselmann; M S Hendryx; C M Helms; D S Wakefield
Journal:  J Gen Intern Med       Date:  1993-07       Impact factor: 5.128

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  16 in total

1.  A Nationwide Flash-Mob Study for Suspected Acute Coronary Syndrome.

Authors:  Angel M R Schols; Robert T A Willemsen; Tobias N Bonten; Martijn H Rutten; Patricia M Stassen; Bas L J H Kietselaer; Geert-Jan Dinant; Jochen W L Cals
Journal:  Ann Fam Med       Date:  2019-07       Impact factor: 5.166

2.  The value of vital sign trends for detecting clinical deterioration on the wards.

Authors:  Matthew M Churpek; Richa Adhikari; Dana P Edelson
Journal:  Resuscitation       Date:  2016-02-16       Impact factor: 5.262

3.  Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis.

Authors:  Hyung-Jun Kim; Hyun-Ju Min; Dong-Seon Lee; Yun-Young Choi; Miae Yoon; Da-Yun Lee; In-Ae Song; Jun Yeun Cho; Jong Sun Park; Young-Jae Cho; You-Hwan Jo; Ho Il Yoon; Jae Ho Lee; Choon-Taek Lee; Yeon Joo Lee
Journal:  PLoS One       Date:  2019-11-14       Impact factor: 3.240

4.  Is everyone really breathing 20 times a minute? Assessing epidemiology and variation in recorded respiratory rate in hospitalised adults.

Authors:  Jack Badawy; Oanh Kieu Nguyen; Christopher Clark; Ethan A Halm; Anil N Makam
Journal:  BMJ Qual Saf       Date:  2017-06-26       Impact factor: 7.035

5.  Accuracy Comparisons between Manual and Automated Respiratory Rate for Detecting Clinical Deterioration in Ward Patients.

Authors:  Matthew M Churpek; Ashley Snyder; Nicole M Twu; Dana P Edelson
Journal:  J Hosp Med       Date:  2018-02-02       Impact factor: 2.960

6.  Improving Respiratory Rate Accuracy in the Hospital: A Quality Improvement Initiative.

Authors:  Neil Keshvani; Kimberly Berger; Arjun Gupta; Sheila DePaola; Oanh Kieu Nguyen; Anil N Makam
Journal:  J Hosp Med       Date:  2019-06-19       Impact factor: 2.960

7.  Multicenter Study Validating Accuracy of a Continuous Respiratory Rate Measurement Derived From Pulse Oximetry: A Comparison With Capnography.

Authors:  Sergio D Bergese; Michael L Mestek; Scott D Kelley; Robert McIntyre; Alberto A Uribe; Rakesh Sethi; James N Watson; Paul S Addison
Journal:  Anesth Analg       Date:  2017-04       Impact factor: 5.108

8.  Continuous Monitoring of Respiratory Rate in Emergency Admissions: Evaluation of the RespiraSense™ Sensor in Acute Care Compared to the Industry Standard and Gold Standard.

Authors:  Christian Peter Subbe; Sean Kinsella
Journal:  Sensors (Basel)       Date:  2018-08-17       Impact factor: 3.576

9.  Predicting mortality in patients with suspected sepsis at the Emergency Department; A retrospective cohort study comparing qSOFA, SIRS and National Early Warning Score.

Authors:  Anniek Brink; Jelmer Alsma; Rob Johannes Carel Gerardus Verdonschot; Pleunie Petronella Marie Rood; Robert Zietse; Hester Floor Lingsma; Stephanie Catherine Elisabeth Schuit
Journal:  PLoS One       Date:  2019-01-25       Impact factor: 3.240

10.  Accuracy and interobserver-agreement of respiratory rate measurements by healthcare professionals, and its effect on the outcomes of clinical prediction/diagnostic rules.

Authors:  Gideon H P Latten; Michelle Spek; Jean W M Muris; Jochen W L Cals; Patricia M Stassen
Journal:  PLoS One       Date:  2019-10-03       Impact factor: 3.240

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