Prospective budgeting for home care: making titration work.
OBJECTIVE
To provide a model for prospective budgeting for home care that is plausible, coherent, flexible, and sufficiently tractable that it can serve as a template for practical decision making and to clarify what would be the data requirements and statistical framework to calibrate the model.


METHODS
Methods used are standard risk-neutral expected value theory, cost benefit analysis, and the conditional logistic probability model.


RESULTS
A simple but effective prospective budgeting model that provides analytic scaffolding for a practical decision support system for home care case managers, consultants, and program evaluators that can improve program equity, efficiency, and effectiveness.


CONCLUSIONS
The author criticizes the well-known Titration Budgeting Model of Weissert, Chernew, and Hirth in terms of its logical and operational problems but then goes on to develop a framework within which the goals of the titration model can be met and home care resources can be more efficiently allocated.
Greene
Vernon L
VL
Syracuse University.
D000368:Aged; D002017:Budgets / Q000379:methods* / Q000706:statistics & numerical data; D003363:Cost Control / Q000191:economics; D003362:Cost-Benefit Analysis / Q000379:methods*; D005102:Health Expenditures; D006699:Home Care Services / Q000191:economics*; D006801:Humans; D016015:Logistic Models; D017059:Models, Econometric; D015233:Models, Statistical; D012306:Risk; D014481:United States