Date of Award

1-1-2022

Embargo Period

5-11-2022

Document Type

Dissertation

Degree Name

Doctor of Health Administration

College

College of Health Professions

First Advisor

Kit N. Simpson

Second Advisor

Daniel L. Brinton

Third Advisor

Mary Dooley

Abstract

Mental Health care leaders are challenged with meeting revenue requirements while incorporating telemental health (TMH) to increase access. The objective of this project was to create a model to optimize revenue based on variables derived from the literature, notably no-shows, reimbursement, salary cost, and appointment type. The model was tested through sensitivity analysis. The order of sensitivity to net revenue based on a 10% variable increase was reimbursement rate (19% increase), appointment volume (10% increase), cost (8.5% decrease), and no-shows (1% decrease). 3 scenarios were run for large (10 providers), mid-sized (4 providers), and single provider facilities. In-person vs telemental health appointment mix for each scenario was set at 80%/20%, 50%/50%, and 20%/80%. Reimbursement rate for TMH was set at 70%, 80%, 90% and 100% (parity) of in-person recovery. Results showed 100% TMH reimbursement was the only scenario increased TMH appointments increased revenue. 90% reimbursement had minimal revenue loss with increased TMH (2-3%) and 70% or 80% had significant losses (9%-30%). Parity is vital to TMH revenue impact and adoption.

Rights

All rights reserved. Copyright is held by the author.

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