scholarly journals The Payment of Hospital Services: a Waiting Lists Model

2005 ◽  
Vol 5 (1) ◽  
Author(s):  
Dr. Alessandra Ferrari

AbstractThis paper analyses the incentive properties of prospective payment systems for hospital contracts, a key feature in many health systems’ reforms. Building on current literature, the model explicitly allows for the existence of waiting time, modelled as adversely affecting patients’ utility and therefore reducing social welfare. The model shows that rewarding hospitals for their demand leads to the first best solution, identified with respect to the relevant quality and quantity variables. The additional separate payment of a price per case is instead required when the social cost of waiting is introduced alongside the private costs.

2021 ◽  
Vol 71 ◽  
pp. 401-429
Author(s):  
Reshef Meir ◽  
Fedor Sandomirskiy ◽  
Moshe Tennenholtz

A population of voters must elect representatives among themselves to decide on a sequence of possibly unforeseen binary issues. Voters care only about the final decision, not the elected representatives. The disutility of a voter is proportional to the fraction of issues, where his preferences disagree with the decision. While an issue-by-issue vote by all voters would maximize social welfare, we are interested in how well the preferences of the population can be approximated by a small committee. We show that a k-sortition (a random committee of k voters with the majority vote within the committee) leads to an outcome within the factor 1+O(1/√ k) of the optimal social cost for any number of voters n, any number of issues m, and any preference profile. For a small number of issues m, the social cost can be made even closer to optimal by delegation procedures that weigh committee members according to their number of followers. However, for large m, we demonstrate that the k-sortition is the worst-case optimal rule within a broad family of committee-based rules that take into account metric information about the preference profile of the whole population.


2014 ◽  
Author(s):  
Ross P. Crothers ◽  
Jacqueline M. Diggs ◽  
Darwin A. Guevarra ◽  
Jia Wei Zhang ◽  
Ryan T. Howell
Keyword(s):  

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