How much does it cost to change the behavior of health professionals? A mathematical model and an application to academic detailing.
Several strategies have shown to be effective at enhancing the implementation of research findings in daily practice. These implementation strategies improve the delivery of preventive or therapeutic care by successfully educating health professionals. On the other hand, little is known about the costs of these implementation strategies. The goal of this article is to present a mathematical model that predicts implementation costs by using published data. As an important feature, the model portrays the relationship between the degree of treatment underuse and implementation costs. Two application examples of outreach programs for the prevention of stroke and coronary disease analyze the relevance of implementation costs with respect to the cost-effectiveness ratio and total costs. They demonstrate that implementation costs may have little impact on the cost-effectiveness ratio but may nevertheless be relevant to a 3rd-party payer who needs to stay within the budget and ensure that care is provided to a large underserved population. The model and its consideration of implementation costs may contribute to a more efficient use of health care resources.
Gandjour
Afschin
A
Institute of Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany. afschin.gandjour@medizin.uni-koeln.de
Lauterbach
Karl Wilhelm
KW
D000959:Antihypertensive Agents / Q000627:therapeutic use; D003327:Coronary Disease / Q000517:prevention & control; D003362:Cost-Benefit Analysis; D004502:Education, Medical, Continuing / Q000191:economics*; D019317:Evidence-Based Medicine / Q000191:economics / Q000706:statistics & numerical data*; D005858:Germany; D019983:Guideline Adherence / Q000191:economics / Q000706:statistics & numerical data*; D006300:Health Services Misuse; D006801:Humans; D006973:Hypertension / Q000150:complications / Q000175:diagnosis / Q000188:drug therapy; D017059:Models, Econometric; D010821:Physicians, Family / Q000193:education* / Q000523:psychology / Q000592:standards; D011322:Primary Prevention / Q000191:economics* / Q000592:standards; D011785:Quality Assurance, Health Care / Q000191:economics*; D019057:Quality-Adjusted Life Years; D012307:Risk Factors; D020521:Stroke / Q000517:prevention & control
D000959:Antihypertensive Agents