Decision-analytic modeling to assist decision making in organizational innovation: the case of shared care in hearing aid provision.
OBJECTIVE
To illustrate the use of decision-analytic modeling to assist decision making in organizational innovations.


METHODS
Regarding an organizational innovation (shared care in hearing aid provision) available evidence from different sources was synthesized.


METHODS
A probabilistic Markov model was constructed.


METHODS
We modeled the long-term cost-effectiveness of different organizational formats of shared care as opposed to the current organization. We assessed the expected value of perfect information (EVPI) for several groups of parameters in the model.


RESULTS
The current organization had the highest probability of being cost-effective. Additional research is worthwhile, especially on access to care and safety (sensitivity to detect pathology).


CONCLUSIONS
Decision-analytic modeling in an early stage of organizational innovation is a valuable tool to facilitate evidence-based decision making.
Maastro Clinic, PO Box 5800, 6202 AZ Maastricht, The Netherlands.
Janneke P C
JP
Grutters
Manuela A
MA
Joore
Frans
F
Van Der Horst
Robert J
RJ
Stokroos
Lucien J C
LJ
Anteunis
D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001298:Audiology / Q000458:organization & administration; D003362:Cost-Benefit Analysis; D003657:Decision Making; D003661:Decision Support Techniques; D058006:General Practice / Q000458:organization & administration; D006310:Hearing Aids / Q000191:economics*; D006801:Humans; D008390:Markov Chains; D008511:Medicine / Q000458:organization & administration; D008875:Middle Aged; D009936:Organizational Innovation / Q000191:economics*; D011787:Quality of Health Care / Q000458:organization & administration; D019057:Quality-Adjusted Life Years; D012017:Referral and Consultation / Q000191:economics*