Literature DB >> 10780279

Growing importance of capitation in Switzerland.

K Beck1.   

Abstract

Since its liberalization the Swiss health insurance market has shown risk selection activities of the insurance funds, which call for risk adjustment. Because risk selection continues to be profitable under the current risk adjustment formula, fast growing HMO and PPO plans are (mis)used to attract good risks rather than to contain costs. For fear of being replaced by one centralised fund, social health insurers are themselves proposing improvements of the risk adjustment formula, to be applied to funds. The revised formula proposed in this paper, applicable among funds for risk adjustment and to gate-keeping models to calculate fair capitation, explains 12.4% of the variance of health care expenditure, halves profits from risk selection, and uses only the (few) data that are available in Switzerland.

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Year:  2000        PMID: 10780279     DOI: 10.1023/a:1019081021645

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  8 in total

1.  Cream-skimming in deregulated social health insurance: evidence from Switzerland.

Authors:  K Beck; P Zweifel
Journal:  Dev Health Econ Public Policy       Date:  1998

Review 2.  How can we prevent cream skimming in a competitive health insurance market? The great challenge for the 90's.

Authors:  W P Van de Ven; R C Van Vliet
Journal:  Dev Health Econ Public Policy       Date:  1992

3.  Competition under a regime of imperfect risk adjustment: the Swiss experience.

Authors:  K Beck
Journal:  Soz Praventivmed       Date:  1998

4.  Consumer-choice health plan (first of two parts). Inflation and inequity in health care today: alternatives for cost control and an analysis of proposals for national health insurance.

Authors:  A C Enthoven
Journal:  N Engl J Med       Date:  1978-03-23       Impact factor: 91.245

5.  Risk-adjusted capitation: recent experiences in The Netherlands.

Authors:  W P van de Ven; R C van Vliet; E M van Barneveld; L M Lamers
Journal:  Health Aff (Millwood)       Date:  1994       Impact factor: 6.301

6.  Adjusting capitation using chronic disease risk factors: a preliminary study.

Authors:  J Howland; J Stokes; S C Crane; A J Belanger
Journal:  Health Care Financ Rev       Date:  1987

Review 7.  Capitation payment: using predictors for medical utilization to adjust rates.

Authors:  A M Epstein; E J Cumella
Journal:  Health Care Financ Rev       Date:  1988

8.  Adjusting Medicare capitation payments using prior hospitalization data.

Authors:  A Ash; F Porell; L Gruenberg; E Sawitz; A Beiser
Journal:  Health Care Financ Rev       Date:  1989
  8 in total
  4 in total

1.  Risk selection in the Massachusetts State employee health insurance program.

Authors:  W Yu; R P Ellis; A Ash
Journal:  Health Care Manag Sci       Date:  2001-12

2.  A structural equation modeling approach to examining the predictive power of determinants of individuals' health expenditures.

Authors:  Jin-Yuan Chern; Thomas T H Wan; James W Begun
Journal:  J Med Syst       Date:  2002-08       Impact factor: 4.460

3.  The DIY Digital Medical Centre.

Authors:  James Kenneth Timmis; Kenneth Timmis
Journal:  Microb Biotechnol       Date:  2017-08-25       Impact factor: 5.813

4.  A Review on Methods of Risk Adjustment and their Use in Integrated Healthcare Systems.

Authors:  Christin Juhnke; Susanne Bethge; Axel C Mühlbacher
Journal:  Int J Integr Care       Date:  2016-10-26       Impact factor: 5.120

  4 in total

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