Stroke nurse compliance with assessment standards is enhanced by reducing the documentation burden: An implementation science study.
Background: Implementation research is focused on identifying barriers and facilitators to adopting evidence-based practices. Measuring pupil activity with a quantitative pupillometer (QP) has been repeatedly demonstrated to be a more evidence-based than subjective assessment of pupil reactivity. Ye...
| Publicado en: | Nursing Management Vol. 57; no. 1; pp. 26 - 31 |
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| Autores principales: | , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jan2026
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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=190675851&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190675851 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07446314 NMA jtl: Nursing Management issn: 07446314 maglogo: N pubinfo: dt: Jan2026 vid: 57 iid: 1 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 190675851 190675851 190675851 10.1097/nmg.0000000000000324 190675851 ppf: 26 ppct: 5 formats: tig: atl: Stroke nurse compliance with assessment standards is enhanced by reducing the documentation burden: An implementation science study. aug: au: Perera, Anjali Smith, Lisa Garza, Brianna Stout, Donald Bashir, Moez M. I. Allen, Samanta Salter, Amber Olson, DaiWai M. affil: At University of Texas Southwestern Medical Center in Dallas, TX, Anjali Perera is Assistant Nurse Manager, Neuroscience Intensive Care Unit sug: subj: Stroke Nursing Professional Compliance Nursing Assessment Implementation Science Documentation Human Male Female Middle Age Aged Aged, 80 and Over Quality of Nursing Care Reflex, Pupillary Automation Electronic Health Records Intensive Care Units Guideline Adherence Burnout, Professional Nursing Practice, Evidence-Based Confidence Intervals Descriptive Statistics Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Background: Implementation research is focused on identifying barriers and facilitators to adopting evidence-based practices. Measuring pupil activity with a quantitative pupillometer (QP) has been repeatedly demonstrated to be a more evidence-based than subjective assessment of pupil reactivity. Yet, despite global availability, QP adoption is inconsistent. A possible influencing variable is documentation burden. Purpose: The purpose of this study is to explore whether technology that provides for automated documentation is a facilitator for implementing QP. Methods: This institutional review board-approved study explored data that were documented manually (manual cohort) and data that were directly uploaded into the electronic health record (automated-upload cohort). Compliance with the unit-based policy for pupil assessment was determined for each 4-hour period of time during the patient's stay in the intensive care unit. Results: There were no significant demographic differences between the 122 manual-entry cohort and 229 automated-entry cohort patients. The mean compliance in the automated-entry cohort of 65.0% (95% CI: 61.6-68.4%) was significantly higher than the mean compliance in the manual-entry cohort (47.7% [95% CI: 43.7-51.8%]; t = -6.42, P < 0.0001). Implications: A reduced documentation burden is associated with increased adoption of an evidence-based practice. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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