Skip to main navigation Skip to search Skip to main content

Objective assessment and thematic categorization of patient-audible information in an emergency department

  • Xiao C. Zhang
  • , Leo Kobayashi
  • , Markus Berger
  • , Pranav M. Reddy
  • , Darin B. Chheng
  • , Sara A. Gorham
  • , Shivany Pathania
  • , Sarah P. Stern
  • , Elio Icaza Milson
  • , Gregory D. Jay
  • , Jay M. Baruch

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Objectives The objective was to assess and categorize the understandable components of patient-audible information (e.g., provider conversations) in emergency department (ED) care areas and to initiate a baseline ED soundscape assessment. Methods Investigators at an academic referral hospital accessed 21 deidentified transcripts of recordings made with binaural in-ear microphones in patient rooms (n = 10) and spaces adjacent to nurses' stations (n = 11), during ED staff sign-outs as part of an approved quality management process. Transcribed materials were classified by speaker (health care provider, patient/family/friend, or unknown). Using qualitative analysis software and predefined thematic categories, two investigators then independently coded each transcript by word, phrase, clause, and/or sentence for general content, patient information, and HIPAA-defined patient identifiers. Scheduled reviews were used to resolve any data coding discrepancies. Results Patient room recordings featured a median of 11 (interquartile range [IQR] = 2 to 33) understandable words per minute (wpm) over 16.2 (IQR = 15.1 to 18.4) minutes; nurses' station recordings featured 74 (IQR = 47 to 109) understandable wpm over 17.0 (IQR = 15.4 to 20.3) minutes. Transcript content from patient room recordings was categorized as follows: clinical, 44.8% (IQR = 17.7% to 62.2%); nonclinical, 0.0% (IQR = 0.0% to 0.0%); inappropriate (provider), 0.0% (IQR = 0.0% to 0.0%); and unknown, 6.0% (IQR = 1.7% to 58.2%). Transcript content from nurses' stations was categorized as follows: clinical, 86.0% (IQR = 68.7% to 94.7%); nonclinical, 1.2% (IQR = 0.0% to 19.5%); inappropriate (provider), 0.1% (IQR = 0.0% to 2.3%); and unknown, 1.3% (IQR = 0.0% to 7.1%). Limited patient information was audible on patient room recordings. Audible patient information at nurses' stations was coded as follows (median words per sign-out sample): general patient history, 116 (IQR = 19 to 206); social history, 12 (IQR = 4 to 19); physical examination, 39 (IQR = 19 to 56); imaging results, 0 (IQR = 0 to 21); laboratory results, 7 (IQR = 0 to 22); other results, 0 (IQR = 0 to 3); medical decision-making, 39 (IQR = 10 to 69); management (general), 118 (IQR = 79 to 235); pain management, 4 (IQR = 0 to 53); and disposition, 42 (IQR = 22 to 60). Medians of 0 (IQR = 0 to 0) and 3 (IQR = 1 to 4) patient name identifiers were audible on in-room and nurses' station sign-out recordings, respectively. Conclusions Sound recordings in an ED setting captured audible and understandable provider discussions that included confidential, protected health information and discernible quantities of nonclinical content.

Original languageEnglish
Pages (from-to)1222-1225
Number of pages4
JournalAcademic Emergency Medicine
Volume22
Issue number10
DOIs
StatePublished - Oct 2015

Fingerprint

Dive into the research topics of 'Objective assessment and thematic categorization of patient-audible information in an emergency department'. Together they form a unique fingerprint.

Cite this