Predicting Total Sick Days Experienced by an Active Duty Military Population
Final rept. 7 Jul 89-20 Jul 90,
ACADEMY OF HEALTH SCIENCES (ARMY) FORT SAM HOUSTON TX HEALTH CARE ADMINISTRATION
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This research analyzed the effects of Major Diagnostic Category Groups upon Total Sick Days associated with specific diagnosis for inpatients at Ireland Army Community Hospital. Data were collected from the Individual Patient Data System. Regression analysis was used to test the effects of MDCGs upon TSDs while controlling for the effects of time and gender. Results strongly suggest that MDCGs significantly affect TSDs R squared .57 while in the presence of time and gender controls, F15, 255 22.17,p .001. These results indicate that MDCGs can be used to predict TSDs for an active duty military population with true validity and reliability. Military Treatment Facility Commanders can use this information to assess the current inpatient portion of health status for the military population the MTF serves. Additionally, Commanders can use the predictive power of this model in developing essential information for improving resource allocation decisions and organizational workload management.
- Personnel Management and Labor Relations
- Medicine and Medical Research