Aoyjai Montgomery

Dr. Aoyjai Montgomery

School of Nursing, University of Alabama at Birmingham, Birmingham, Alabama, USA
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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 June 2017 in Journal of Advanced Nursing
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Journal Article
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AMAoyjai Montgomery
Aoyjai Montgomery
PPPatricia A. Patrician
Patricia A. Patrician
DVDavid E Vance
David E Vance

17 February 2021 in Research in Nursing & Health
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Journal Article
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AMAoyjai Montgomery
Aoyjai Montgomery
AAAndres Azuero
Andres Azuero
PPPatricia A. Patrician
Patricia A. Patrician

25 June 2020 in Journal for Healthcare Quality
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Journal Article
Closed access
AMAoyjai Montgomery
Aoyjai Montgomery
AAAndres Azuero
Andres Azuero
MBMarianne Baernholdt
Marianne Baernholdt
LLLori A. Loan
Lori A. Loan
RMRebecca S. Miltner
Rebecca S. Miltner
PPPatricia A. Patrician
Patricia A. Patrician
Background: Every one out of 10 nurses reported suffering from high levels of burnout worldwide. It is unclear if burnout affects job performance, and in turn, impairs patient safety, including medication safety. The purpose of this study is to determine whether nurse burnout predicts self-reported medication administration errors (MAEs). Methods: A cross-sectional study using electronic surveys was conducted from July 2018 through January 2019, using the Copenhagen Burnout Inventory. Staff registered nurses (N = 928) in acute care Alabama hospitals (N = 42) were included in this study. Descriptive statistics, correlational, and multilevel mixed-modeling analyses were examined. Results: All burnout dimensions (Personal, Work-related, and Client-related Burnout) were significantly correlated with age (r = −0.17 to −0.21), years in nursing (r = −0.10 to −0.17), years of hospital work (r = −0.07 to −0.10), and work environment (r = −0.24 to −0.57). The average number of self-reported MAEs in the last 3 months was 2.13. Each burnout dimension was a statistically significant predictor of self-reported MAEs (p < .05). Conclusions: Nurse burnout is a significant factor in predicting MAEs. This study provides important baseline data for actionable interventions to improve nursing care delivery, and ultimately health care, for Alabamians.

17 June 2021 in Journal of Nursing Care Quality
Verified
Journal Article
Closed access
AMAoyjai Montgomery
Aoyjai Montgomery
PPPatricia A. PhD Patrician
Patricia A. PhD Patrician
AAAndres PhD Azuero
Andres PhD Azuero
Background: Burnout impacts nurses' health as well as brain structures and functions including cognitive function, which could lead to work performance and patient safety issues. Yet, few organization-level factors related to patient safety have been identified. Purpose: This study examined nurse-reported patient safety grade and its relationship to both burnout and the nursing work environment. Methods: A cross-sectional electronic survey was conducted among nurses (N = 928) in acute care Alabama hospitals. Results: In multilevel ordinal mixed-effects models with nurses nested within hospitals, all burnout dimensions of the Copenhagen Burnout Inventory (OR for +1 SD ranging 0.63-0.78; P < .05) and work environment (OR for +1 SD ranging 4.35-4.89; P < .001) were related to the outcome of patient safety grade after controlling for nurse characteristics. Conclusions: Results indicate that health care organizations may reduce negative patient safety ratings by reducing nurse burnout and improving the work environment at the organization level.


18 February 2020 in Journal of Nursing Management
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Journal Article
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CCCaitlin Marley Campbell
Caitlin Marley Campbell
AMAoyjai Montgomery
Aoyjai Montgomery
CAColleen V. Anusiewicz
Colleen V. Anusiewicz
MBMarianne Baernholdt
Marianne Baernholdt
TJTerry Jones
Terry Jones
PPPatricia A. Patrician
Patricia A. Patrician