Exploring Inter-Departmental Variation in Departmental Stress Using Medical Claims Data
David W. Britt*, 1, Lydia Moore2, Brad Shuck3, Patricia Benson4, E. Kobena Osam3
Identifiers and Pagination:Year: 2016
First Page: 1
Last Page: 8
Publisher ID: TOPHJ-9-1
Article History:Received Date: 10/03/2016
Revision Received Date: 10/05/2016
Acceptance Date: 18/05/2016
Electronic publication date: 23/06/2016
Collection year: 2016
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Over the last several years there has been an increasing emphasis on making organizations healthy and functional places to work.
To develop a scale of departmental stress from residualized, aggregated medical-claims data.
Following the strategy of using aggregated individual data to infer the characteristics of larger units, we use medical-claims data from a metropolitan research university. Logged residuals of average individual medical claims are aggregated over a two-year period, controlling for compositional (% Female and % 50 and older) and other factors (Department size and Presence of a lab using toxic chemicals). We then examine the internal consistency and factor structure of a scale constructed from a reduced-set of 14 ICD-9 medical claim categories.
Our results indicate a dominant primary factor that explains 44% of the common variance. The scale is also internally consistent, with a Cronbach’s Alpha of. 87.
We conclude that there is meaningful, coherent variation in medical claims across departments that is tentatively interpreted in terms of departmental stress.