Predictive modeling to identify potential participants of a disease management program hypertension.

Background: Based on the premise of limited health-care resources, decision-makers pursue to allocate disease management programs (DMP) more targeted.

Methods: Based on routine data from a private health insurance company, a prediction model was developed to estimate the individual risk for future in-patient stays of patients eligible for a DMP Hypertension. The database included anonymous claims data of 38,284 policyholders with a diagnosis in the year 2013.

Germany's disease management program: improving outcomes in congestive heart failure.

Hospital admissions among patients with congestive heart failure (CHF) are a major contributor to health care costs. A comprehensive disease management program for CHF was developed for private and statutory health insurance companies in order to improve health outcomes and reduce rehospitalization rates and costs. The program comprises care calls, written training material, telemetric monitoring, and health reports.

[Patient-oriented healthcare programs. Concepts and practical experience in the field of chronic heart failure].

Disease management programs (DMP) have been recently introduced in the German statutory healthcare sector by federal law. These compulsory programs are aimed at enhancing guideline-based treatment by primary care physicians. Based on a systematic analysis of disease models and deficits in healthcare delivery, patient-oriented DMP offer an alternative approach.