Citation

Picard CT, Kleib M, O'Rourke HM, Norris CM, Douma MJ. BMJ Open 2022; 12(4): e055132.

Copyright

(Copyright © 2022, BMJ Publishing Group)

DOI

10.1136/bmjopen-2021-055132

PMID

35418428

Abstract

INTRODUCTION: The first clinical interaction most patients have in the emergency department occurs during triage. An unstructured narrative is generated during triage and is the first source of in-hospital documentation. These narratives capture the patient's reported reason for the visit and the initial assessment and offer significantly more nuanced descriptions of the patient's complaints than fixed field data. Previous research demonstrated these data are useful for predicting important clinical outcomes. Previous reviews examined these narratives in combination or isolation with other free-text sources, but used restricted searches and are becoming outdated. Furthermore, there are no reviews focused solely on nurses' (the primary collectors of these data) narratives.

METHODS AND ANALYSIS: Using the Arksey and O'Malley scoping review framework and PRISMA-ScR reporting guidelines, we will perform structured searches of CINAHL, Ovid MEDLINE, ProQuest Central, Ovid Embase and Cochrane Library (via Wiley). Additionally, we will forward citation searches of all included studies. No geographical or study design exclusion criteria will be used. Studies examining disaster triage, published before 1990, and non-English language literature will be excluded. Data will be managed using online management tools; extracted data will be independently confirmed by a separate reviewer using prepiloted extraction forms. Cohen's kappa will be used to examine inter-rater agreement on pilot and final screening. Quantitative data will be expressed using measures of range and central tendency, counts, proportions and percentages, as appropriate. Qualitative data will be narrative summaries of the authors' primary findings. PATIENT AND PUBLIC INVOLVEMENT: No patients involved. ETHICS AND DISSEMINATION: No ethics approval is required.

FINDINGS will be submitted to peer-reviewed conferences and journals.

RESULTS will be disseminated using individual and institutional social media platforms.

Language: en

Keywords

epidemiology; accident & emergency medicine; health informatics