A descriptive analysis of factors that influence adoption of automated pupillometry.

Caitlin Dunn; Jennifer Wilson; Emerson Nairon; Daiwai Olson

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A descriptive analysis of factors that influence adoption of automated pupillometry.

Author: Caitlin Dunn ¹ ; Jennifer Wilson ² ; Emerson Nairon ³ ; DaiWai Olson ⁴
Author Information

1. Registered nurse in the neuroscience intensive care unit at the University of Texas Southwestern in Dallas Texas, USA
2. Clinical Professor of Nursing at Texas Woman University in Denton Texas, USA Coordinator of the Nursing Honors Program
3. Clinical research assistant at the University of Texas Southwestern in Dallas Texas, USA
4. Corresponding author Registered nurse Full Professor of Neurology at the University of Texas Southwestern in Dallas Texas, USA
Publication Type:Journal Article
From: Philippine Journal of Nursing 2023;93(1):28-35
CountryPhilippines
Language:English
Abstract: BACKGROUND:By current estimates, it takes 17 years to adopt a new evidence-based practice (EBP) intervention. Nursing efforts to increase EBP adoption typically focus on education. But, there is a research gap in that there is a lack of evidence to support that education impacts the adoption of evidence-based practice. This study explored factors associated with adopting quantitative pupillometry (QP).
METHODS:This longitudinal, retrospective study used registry data to calculate QP usage rates between 2015 and 2021. Events and interventions hypothesized to increase EBP adoption were identified through stakeholder interviews and literature search. Events were categorized as: conference presentations, publications, education, new study sites, QP adoption on other nursing units, equipment purchase, and policy changes. Scatterplots and Spearman's Rho were used to examine the relationship between time and usage rate of QP. Odds ratio analyses were conducted to explore the relationship between the selected event types and changes in usage rate from month-to-month.
RESULTS:Using 74,428 QP observations from 3,976 patients, there was a significant positive relationship between usage rate of QP and time (r = .642, P < .0001). However, there was no statistically significant odds of any event-type (alone or in combination) impacting the rate of QP adoption.
CONCLUSION:Time was the only independent variable significantly associated with an increase in EBP adoption for this intervention. Common methods used to accelerate nursing adoption of EBP may have limited effect.
Full text:93(1)_4.pdf