Study Finds Self-Reported Health Information Helps Predict Inpatient Admissions, Costs

How patients view their own health can help indicate whether they will be admitted and what the future costs will be, according to a study published in the American Journal of Managed Care.

This study relied on data from questionnaires completed by nearly 6,500 Kaiser Permanente Northwest Medicare patients from Dec. 2006-Oct. 2008. For their study, researchers combined two types of data in a Medicare population: a claims-based predictive model and patient-reported outcomes. The researchers determined that self-reported information about being in poorer health was a key determinant in predicting higher inpatient admissions and for being in the top tier for costs.

 



For instance, higher admission rates and costs were associated with patients who self-reported lower scores for general health and answered yes to "do you need help with one or more activities of daily living?" and yes to "do you have a bothersome health condition?"

Predicting costs and admissions more accurately is also important in improving care. This data can enable providers to identify at-risk patients earlier and appropriately assign resources, the authors said.

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