Victoria Goode

Positions:

Associate Consulting Professor in the School of Nursing

School of Nursing
School of Nursing

Member of the Duke Cancer Institute

Duke Cancer Institute
School of Medicine

Education:

M.S.N. 1994

Virginia Commonwealth University

Ph.D. 2015

University of Virginia

Grants:

Planning and Discovery NBCRNA Collaboration Activities

Administered By
School of Nursing
Awarded By
National Board of Certification and Recertification for Nurse Anesthetists
Role
Principal Investigator
Start Date
End Date

Publications:

Using Clinical Data to Improve the Quality of Health Care.

Authors
Goode, V; Cary, M; Crego, N; Thornlow, D
MLA Citation
Goode, Victoria, et al. “Using Clinical Data to Improve the Quality of Health Care.Journal of Perianesthesia Nursing : Official Journal of the American Society of Perianesthesia Nurses, vol. 36, no. 2, Apr. 2021, pp. 207–08. Epmc, doi:10.1016/j.jopan.2021.01.001.
URI
https://scholars.duke.edu/individual/pub1478199
PMID
33812506
Source
epmc
Published In
Journal of Perianesthesia Nursing : Official Journal of the American Society of Perianesthesia Nurses
Volume
36
Published Date
Start Page
207
End Page
208
DOI
10.1016/j.jopan.2021.01.001

Development and Implementation of a Perioperative Blood Glucose Monitoring Protocol for Patients Undergoing Spinal Surgery.

PURPOSE: Stress-induced hyperglycemia during the perioperative period is associated with adverse outcomes after spinal surgery, which increases both patient-related burden and hospital costs. This quality improvement project describes the development and implementation of a perioperative blood glucose monitoring protocol for patients undergoing spinal surgery. DESIGN: An evidence-based perioperative blood glucose monitoring protocol was developed by a multidisciplinary committee of specialists in endocrinology and anesthesiology with utilization of the American Diabetes Association diabetes screening criteria. METHODS: The protocol was implemented in the perioperative areas of a regional hospital in the Southeastern United States. The project sample included patients with and without a prior diagnosis of diabetes who met protocol inclusion criteria during a 3-month implementation period. FINDINGS: Preoperative glycated hemoglobin (HbA1c) testing identified more than 54% of previously undiagnosed patients with levels consistent with either prediabetes or diabetes according to the American Diabetes Association criteria for diagnosis. Patients with diabetes and those without diabetes experienced a perioperative increase in blood glucose with levels remaining elevated above preoperative baseline through postoperative day 1. CONCLUSIONS: A perioperative blood glucose monitoring protocol enables preoperative identification of patients with undiagnosed prediabetes and diabetes, allowing for optimization before elective surgery and establishment of appropriate postoperative follow-up care. In addition, a blood glucose monitoring protocol increases the detection of perioperative hyperglycemia and may lead to a reduction in postoperative complications after spinal surgery.
Authors
Wainwright, CL; Setji, TL; Sata, SD; Lamb, SW; Goode, V
MLA Citation
Wainwright, Carra L., et al. “Development and Implementation of a Perioperative Blood Glucose Monitoring Protocol for Patients Undergoing Spinal Surgery.J Perianesth Nurs, vol. 35, no. 2, Apr. 2020, pp. 135–39. Pubmed, doi:10.1016/j.jopan.2019.09.006.
URI
https://scholars.duke.edu/individual/pub1423060
PMID
31787554
Source
pubmed
Published In
J Perianesth Nurs
Volume
35
Published Date
Start Page
135
End Page
139
DOI
10.1016/j.jopan.2019.09.006

Improving Quality and Safety Through Use of Secondary Data: Methods Case Study.

Researchers need to evaluate the strengths and weaknesses of data sets to choose a secondary data set to use for a health care study. This research method review informs the reader of the major issues necessary for investigators to consider while incorporating secondary data into their repertoire of potential research designs and shows the range of approaches the investigators may take to answer nursing research questions in a variety of context areas. The researcher requires expertise in locating and judging data sets and in the development of complex data management skills for managing large numbers of records. There are important considerations such as firm knowledge of the research question supported by the conceptual framework and the selection of appropriate databases, which guide the researcher in delineating the unit of analysis. Other more complex issues for researchers to consider when conducting secondary data research methods include data access, management and security, and complex variable construction.
Authors
Goode, V; Crego, N; Cary, MP; Thornlow, D; Merwin, E
MLA Citation
Goode, Victoria, et al. “Improving Quality and Safety Through Use of Secondary Data: Methods Case Study.Western Journal of Nursing Research, vol. 39, no. 11, Nov. 2017, pp. 1477–501. Epmc, doi:10.1177/0193945916672449.
URI
https://scholars.duke.edu/individual/pub1147579
PMID
27733669
Source
epmc
Published In
Western Journal of Nursing Research
Volume
39
Published Date
Start Page
1477
End Page
1501
DOI
10.1177/0193945916672449