Capturing Real-Time Emergency Department Sentiment: A Feasibility Study Using Touch-Button Terminals.
Study Objective: Providing care in emergency departments (EDs) affects patients and providers. Providers experience high rates of work-related stress. Little is known about the feasibility of measuring real-time sentiment within busy clinical environments. We test the feasibility of measuring sentim...
| Publicado en: | Annals of Emergency Medicine Vol. 75; no. 6; pp. 727 - 733 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143461798&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143461798 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01960644 1WN jtl: Annals of Emergency Medicine issn: 01960644 maglogo: N pubinfo: dt: Jun2020 vid: 75 iid: 6 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 143461798 143461798 NLM31493921 143461798 10.1016/j.annemergmed.2019.07.004 NLM31493921 143461798 ppf: 727 ppct: 6 formats: tig: atl: Capturing Real-Time Emergency Department Sentiment: A Feasibility Study Using Touch-Button Terminals. aug: au: Agarwal, Anish K. Hahn, Lauren Pelullo, Arthur Rosin, Roy Merchant, Raina M. affil: Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA sug: subj: Emergency Service Standards Patients Psychosocial Factors Nurses Psychosocial Factors Physicians Psychosocial Factors Computer Terminals Human Nurses Statistics and Numerical Data Prospective Studies Computer Systems Patients Statistics and Numerical Data Physicians Statistics and Numerical Data Emergency Service Trends Length of Stay Trends Touch Pilot Studies Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Study Objective: Providing care in emergency departments (EDs) affects patients and providers. Providers experience high rates of work-related stress. Little is known about the feasibility of measuring real-time sentiment within busy clinical environments. We test the feasibility of measuring sentiment with touch-button terminals in an academic, urban ED.Methods: Terminals offered a choice of 4 sentiment buttons (very positive, positive, negative, and very negative). They were placed central to physician workstations, nursing workstations, and the patient exit. Pearson correlation coefficients (r) were calculated to estimate correlation between sentiment and volume metrics (arrivals, length of stay, waiting patients, and number of boarding patients) over time.Results: A total of 13,849 sentiments were recorded (June 2018 to October 2018); 9,472 came from providers (52.6% nursing) and 4,377 from patients. The majority of provider sentiments were negative (58.7%). Negative provider sentiment was associated with increasing number of patients waiting to be seen (r=0.45) and boarding (r=0.68). Positive provider sentiment was associated with increasing numbers of patients who left without being seen (r=0.48). Increased boarding was associated with more recorded sentiments (r=0.73). Negative patient sentiment was associated with increasing number waiting (r=0.55), boarding (r=0.67), and leaving without being seen (r=0.46).Conclusion: This study demonstrates the feasibility of a novel approach to measuring "on-shift" sentiment in real time and provides a sample comparison to traditional volume metrics. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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