DOI
https://doi.org/10.25772/9E8A-4J20
Author ORCID Identifier
https://orcid.org/ 0000-0002-9257-7944
Defense Date
2022
Document Type
Dissertation
Degree Name
Doctor of Philosophy
Department
Nursing
First Advisor
Suzanne Ameringer, PhD, RN, FAAN
Second Advisor
Victoria Menzies, PhD, EdM, APRN, FAAN
Third Advisor
Mary Jo Grap, PhD, RN
Fourth Advisor
Tamara Orr, PhD, LCP, PMHNP-BC
Fifth Advisor
Dr. Leroy Thacker II, PhD
Abstract
Background: Post-intensive care syndrome (PICS) affects 25-50% of individuals who survive an intensive care unit (ICU) stay. While the compounding of PICS impairments (cognitive, physical, and psychological) could potentially intensify the syndrome, there is limited research about the relationships among the impairments, particularly in the context of delirium.
Objectives: This study aimed to examine associations among PICS impairments and examine delirium status and its relationship to PICS impairments at ICU discharge and one month after ICU discharge.
Methods: This prospective, descriptive, correlational pilot study included adults who survived an ICU stay. Participants completed the Hospital Anxiety and Depression scale, Posttraumatic Symptom Scale, Katz Independence in Activities of Daily Living, Medical Outcomes Study Short-Form Health Survey (SF-36), and Montreal Cognitive Assessment (MoCA) at ICU discharge and one month post-ICU discharge.
Results: Cognitive impairment was the most common impairment, affecting 62% of participants at ICU discharge and 57% at one month post-ICU discharge. A moderate positive correlation was found between MoCA and Katz scores at ICU discharge, r(43) = .501, p = .0005., and at one month post-ICU discharge, r(33) = .541, p = .0008. A moderate positive association was also found between the SF-36 physical function and MoCA scores at one month post-ICU discharge, r(33) = .459, p = .0056. Scores did not differ between participants who experienced delirium and those who did not.
Conclusions: Further research is needed to confirm the association between cognition and physical function. These pilot data will inform a larger study to develop a predictive model of PICS.
Rights
© Tracye B. Proffitt
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
5-9-2022