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Exploring Inter-Departmental Variation in Departmental Stress Using Medical Claims Data
Abstract
Background:
Over the last several years there has been an increasing emphasis on making organizations healthy and functional places to work.
Objective:
To develop a scale of departmental stress from residualized, aggregated medical-claims data.
Methods:
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.
Results:
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.
Conclusion:
We conclude that there is meaningful, coherent variation in medical claims across departments that is tentatively interpreted in terms of departmental stress.