Date of Award

Spring 1-24-2023

Embargo Period

1-25-2023

Document Type

Dissertation

Degree Name

Doctor of Health Administration

Department

Health Administration

College

College of Health Professions

First Advisor

Daniel Brinton

Second Advisor

Jillian Harvey

Third Advisor

Leila Forney

Abstract

Workload assessments help provide validation to increase staff, evaluate and ensure equal distribution of work, and assist with budget justifications. The Ontario Protocol Assessment Level (OPAL) is one of the most widely used protocol assessment tools. This study mapped an adapted OPAL score for clinical trials to actual coordinator hours from a single site to determine if the adapted OPAL score could predict coordinator hours. The purpose was to project a more accurate capacity estimate when considering new studies. The Morehouse School of Medicine (MSM) clinical trials management system was queried for actively enrolling interventional studies with corresponding coordinator effort tracking from June 1, 2022, to December 1, 2022. Protocols were graded using an adapted OPAL tool. Linear regression analysis was performed to determine whether a linear association exists between the adapted OPAL score and coordinator effort. Seven studies were included in the analysis. The overall regression was statistically significant (R2 = 0.78, p = 0.008), and the adapted OPAL score significantly predicted tracked coordinator hours (β = 77.22, p = 0.008).

Rights

Copyright is held by Kesley D. Tyson. All rights reserved.

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