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Bührer C, Fetzer S, Hagist C. Adverse selection in the German Health Insurance System – the case of civil servants. Health Policy 2020; 124:888-894. [DOI: 10.1016/j.healthpol.2020.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 06/08/2019] [Accepted: 04/16/2020] [Indexed: 10/24/2022]
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van der Schors W, Brabers AEM, De Jong JD. Does the chronically ill population in the Netherlands switch their health insurer as often as the general population? Empirical evidence from a nationwide survey study. BMC Health Serv Res 2020; 20:376. [PMID: 32370798 PMCID: PMC7201544 DOI: 10.1186/s12913-020-05228-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 04/15/2020] [Indexed: 11/17/2022] Open
Abstract
Background Consumer mobility is an important aspect of a health insurance system based on managed competition. Both the general population and insured with a chronic illness should enjoy an equal opportunity to switch their insurer every year. We studied possible differences in the rates of switching between these two groups in the Netherlands. Methods A structured questionnaire was sent to 1500 members of Nivel’s Dutch Health Care Consumer Panel (response rate: 47%) and to 1911 chronically ill members of the National Panel of the Chronically ill and Disabled (response rate: 84%) in February 2016. Associations between switching and background characteristics were estimated using logistic regression analyses with interaction effects. Results In general, we did not find significant differences in switching rates between the general population and chronically ill population. However, a combination of the population and background characteristics demonstrated that young insured with a chronic illness switched significantly less often than young insured from the general population (1% versus 17%). Conclusions Our results demonstrated that the group of young people with a chronic illness is less inclined to switch insurer. This observation suggests that this group might either face difficulties or barriers which prevents them from switching, or that they experience a high level of satisfaction with their current insurer. Further research should therefore focus on unravelling the mechanisms which explain the differences in switching rates.
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Affiliation(s)
- Wouter van der Schors
- Nivel, the Netherlands Institute for Health Services Research, PO Box 1568, 3500, BN, Utrecht, the Netherlands.,Erasmus University Rotterdam, PO Box 1738, 3000, DR, Rotterdam, the Netherlands
| | - Anne E M Brabers
- Nivel, the Netherlands Institute for Health Services Research, PO Box 1568, 3500, BN, Utrecht, the Netherlands.
| | - Judith D De Jong
- Nivel, the Netherlands Institute for Health Services Research, PO Box 1568, 3500, BN, Utrecht, the Netherlands.,Maastricht University, PO Box 616, 6200, MD, Maastricht, the Netherlands
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Van Gestel R, Müller T, Bosmans J. Learning from failure in healthcare: Dynamic panel evidence of a physician shock effect. HEALTH ECONOMICS 2018; 27:1340-1353. [PMID: 29718578 DOI: 10.1002/hec.3668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 03/29/2018] [Accepted: 04/03/2018] [Indexed: 06/08/2023]
Abstract
Procedural failures of physicians or teams in interventional healthcare may positively or negatively predict subsequent patient outcomes. We identify this effect by applying (non)linear dynamic panel methods to data from the Belgian transcatheter aorta valve implantation registry containing information on the first 860 transcatheter aorta valve implantation procedures in Belgium. We find that a previous death of a patient positively and significantly predicts subsequent survival of the succeeding patient. We find that these learning from failure effects are not long-lived and that learning from failure is transmitted across adverse events.
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Affiliation(s)
- Raf Van Gestel
- Department of Applied Economics, Erasmus University of Rotterdam, Rotterdam, The Netherlands
- Department of Economics, University of Antwerp, Antwerp, Belgium
| | - Tobias Müller
- Department of Economics, University of Bern, Bern, Switzerland
| | - Johan Bosmans
- Department of Cardiology, University of Antwerp, Antwerp, Belgium
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Pilny A, Wübker A, Ziebarth NR. Introducing risk adjustment and free health plan choice in employer-based health insurance: Evidence from Germany. JOURNAL OF HEALTH ECONOMICS 2017; 56:330-351. [PMID: 29248059 DOI: 10.1016/j.jhealeco.2017.03.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Revised: 03/25/2017] [Accepted: 03/31/2017] [Indexed: 06/07/2023]
Abstract
To equalize differences in health plan premiums due to differences in risk pools, the German legislature introduced a simple Risk Adjustment Scheme (RAS) based on age, gender and disability status in 1994. In addition, effective 1996, consumers gained the freedom to choose among hundreds of existing health plans, across employers and state-borders. This paper (a) estimates RAS pass-through rates on premiums, financial reserves, and expenditures and assesses the overall RAS impact on market price dispersion. Moreover, it (b) characterizes health plan switchers and investigates their annual and cumulative switching rates over time. Our main findings are based on representative enrollee panel data linked to administrative RAS and health plan data. We show that sickness funds with bad risk pools and high pre-RAS premiums lowered their total premiums by 42 cents per additional euro allocated by the RAS. Consequently, post-RAS, health plan prices converged but not fully. Because switchers are more likely to be white collar, young and healthy, the new consumer choice resulted in more risk segregation and the amount of money redistributed by the RAS increased over time.
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Affiliation(s)
- Adam Pilny
- RWI, Hohenzollernstr. 1-3, 45128 Essen, Germany.
| | - Ansgar Wübker
- Ruhr University Bochum and RWI, Hohenzollernstr. 1-3, 45128 Essen, Germany.
| | - Nicolas R Ziebarth
- Cornell University, Department of Policy Analysis and Management (PAM), 106 Martha Van Rensselaer Hall, Ithaca, NY 14850, USA.
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Douven R, Katona K, T Schut F, Shestalova V. Switching gains and health plan price elasticities: 20 years of managed competition reforms in The Netherlands. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2017; 18:1047-1064. [PMID: 28243775 PMCID: PMC5602030 DOI: 10.1007/s10198-017-0876-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 02/07/2017] [Indexed: 06/06/2023]
Abstract
In this paper we estimate health plan price elasticities and financial switching gains for consumers over a 20-year period in which managed competition was introduced in the Dutch health insurance market. The period is characterized by a major health insurance reform in 2006 to provide health insurers with more incentives and tools to compete, and to provide consumers with a more differentiated choice of products. Prior to the reform, in the period 1995-2005, we find a low number of switchers, between 2 and 4% a year, modest average total switching gains of 2 million euros per year and short-term health plan price elasticities ranging from -0.1 to -0.4. The major reform in 2006 resulted in an all-time high switching rate of 18%, total switching gains of 130 million euros, and a high short-term price elasticity of -5.7. During 2007-2015 switching rates returned to lower levels, between 4 and 8% per year, with total switching gains in the order of 40 million euros per year on average. Total switching gains could have been 10 times higher if all consumers had switched to one of the cheapest plans. We find short-term price elasticities ranging between -0.9 and -2.2. Our estimations suggest substantial consumer inertia throughout the entire period, as we find degrees of choice persistence ranging from about 0.8 to 0.9.
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Affiliation(s)
- Rudy Douven
- CPB Netherlands Bureau for Economic Policy Analysis, The Hague, The Netherlands.
- Erasmus University Rotterdam, iBMG, Rotterdam, The Netherlands.
| | - Katalin Katona
- Dutch Healthcare Authority, Utrecht, The Netherlands
- Tilburg University, TILEC, Tilburg, The Netherlands
| | | | - Victoria Shestalova
- Dutch Healthcare Authority, Utrecht, The Netherlands
- VU Amsterdam, Amsterdam, The Netherlands
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Pendzialek JB, Simic D, Stock S. Differences in price elasticities of demand for health insurance: a systematic review. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2016; 17:5-21. [PMID: 25398619 DOI: 10.1007/s10198-014-0650-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 10/28/2014] [Indexed: 06/04/2023]
Abstract
Many health insurance systems apply managed competition principles to control costs and quality of health care. Besides other factors, managed competition relies on a sufficient price-elastic demand. This paper presents a systematic review of empirical studies on price elasticity of demand for health insurance. The objective was to identify the differing international ranges of price elasticity and to find socio-economic as well as setting-oriented factors that influence price elasticity. Relevant literature for the topic was identified through a two-step identification process including a systematic search in appropriate databases and further searches within the references of the results. A total of 45 studies from countries such as the USA, Germany, the Netherlands, and Switzerland were found. Clear differences in price elasticity by countries were identified. While empirical studies showed a range between -0.2 and -1.0 for optional primary health insurance in the US, higher price elasticities between -0.6 and -4.2 for Germany and around -2 for Switzerland were calculated for mandatory primary health insurance. Dutch studies found price elasticities below -0.5. In consideration of all relevant studies, age and poorer health status were identified to decrease price elasticity. Other socio-economic factors had an unclear impact or too limited evidence. Premium level, range of premiums, homogeneity of benefits/coverage and degree of forced decision were found to have a major influence on price elasticity in their settings. Further influence was found from supplementary insurance and premium-dependent employer contribution.
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Affiliation(s)
- Jonas B Pendzialek
- Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Gleueler Straße 176-178, 50935, Cologne, Germany.
| | - Dusan Simic
- Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Gleueler Straße 176-178, 50935, Cologne, Germany
| | - Stephanie Stock
- Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Gleueler Straße 176-178, 50935, Cologne, Germany
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Switching rates in health insurance markets decrease with age: empirical evidence and policy implications from the Netherlands. HEALTH ECONOMICS POLICY AND LAW 2015; 11:141-59. [DOI: 10.1017/s1744133115000328] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
AbstractAll consumer groups with specific preferences must feel free to easily switch insurer in order to discipline insurers to be responsive to consumers’ heterogeneous preferences. This paper provides insight into the switching behaviour of low-risks (i.e. young or healthy consumers) and high-risks (i.e. elderly or unhealthy consumers) in the Netherlands in the period 2009–2012. We analysed: (1) administrative data with objective health status information (i.e. medically diagnosed diseases and pharmaceutical use) and information on health care expenses of nearly the entire Dutch population (n=15.3 million individuals) and (2) three-year sample data (n=1152 individuals). Our findings indicate that switching rates strongly decrease with age. For example, in 2009, consumers aged 25–44 switched 10 times more than consumers aged 75 or older. Another finding is that switching rates decrease as the predicted health care expenses increase. Although healthy consumers switch twice as much as unhealthy consumers, this difference becomes much smaller after adjusting for age. We conclude that our findings can be explained by higher perceived switching costs by elderly consumers than by young consumers. Consequently, insurers have low incentives to act as quality-conscious purchasers of care for the elderly consumers. Therefore, strategies should be developed to increase the choice of insurer of elderly consumers.
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Price elasticities in the German Statutory Health Insurance market before and after the health care reform of 2009. Health Policy 2015; 119:654-63. [PMID: 25670009 DOI: 10.1016/j.healthpol.2015.01.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Revised: 01/20/2015] [Accepted: 01/22/2015] [Indexed: 11/24/2022]
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Abstract
Einleitung
Der Wettbewerb im Gesundheitswesen ist kein Selbstzweck, sondern dient der Verbesserung der Versorgung der Versicherten. Im Rahmen der GKV sollte er in einem Preiswettbewerb zwischen Krankenkassen und einem Preis- und Qualitätswettbewerb der Leistungsanbieter um Verträge mit den Kassen bestehen. Der Staat muss aber die Rahmenbedingungen dafür schaffen. Momentan sind diese nicht erfüllt, da die Zuweisungen aus dem Gesundheitsfonds zu hoch und die Freiräume zur Vertragsgestaltung zu gering sind.
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Affiliation(s)
- Friedrich Breyer
- ⁎ Prof. Dr. Friedrich BreyerUniversität KonstanzFB WirtschaftswissenschaftenFach 13578457 Konstanz
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Grunow M, Nuscheler R. Public and private health insurance in Germany: the ignored risk selection problem. HEALTH ECONOMICS 2014; 23:670-687. [PMID: 23696240 DOI: 10.1002/hec.2942] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2010] [Revised: 05/11/2012] [Accepted: 04/10/2013] [Indexed: 06/02/2023]
Abstract
We investigate risk selection between public and private health insurance in Germany. With risk-rated premiums in the private system and community-rated premiums in the public system, advantageous selection in favor of private insurers is expected. Using 2000 to 2007 data from the German Socio-Economic Panel Study (SOEP), we find such selection. While private insurers are unable to select the healthy upon enrollment, they profit from an increase in the probability to switch from private to public health insurance of those individuals who have experienced a negative health shock. To avoid distorted competition between the two branches of health care financing, risk-adjusted transfers from private to public insurers should be instituted.
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Affiliation(s)
- Martina Grunow
- University of Augsburg, Department of Economics, Augsburg, Germany
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Augurzky B, Engel D, Schmidt CM, Schwierz C. Ownership and financial sustainability of German acute care hospitals. HEALTH ECONOMICS 2012; 21:811-824. [PMID: 21648013 DOI: 10.1002/hec.1750] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2008] [Revised: 03/24/2011] [Accepted: 03/29/2011] [Indexed: 05/30/2023]
Abstract
This paper considers the role of ownership form for the financial sustainability of German acute care hospitals over time. We measure financial sustainability by a hospital-specific yearly probability of default (PD) trying to mirror the ability of hospitals to survive in the market in the long run. The results show that private ownership is associated with significantly lower PDs than public ownership. Moreover, path dependence in the PD is substantial but far from 100%, indicating a large number of improvements and deteriorations in financial sustainability over time. Yet, the general public hospitals have the highest path dependence. Overall, this indicates that public hospitals, which are in a poor financial standing, remain in that state or even deteriorate over time, which may be conflicting with financial sustainability.
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Affiliation(s)
- Boris Augurzky
- Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Essen, Germany.
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Reitsma-van Rooijen M, de Jong JD, Rijken M. Regulated competition in health care: switching and barriers to switching in the Dutch health insurance system. BMC Health Serv Res 2011; 11:95. [PMID: 21569225 PMCID: PMC3112070 DOI: 10.1186/1472-6963-11-95] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2010] [Accepted: 05/10/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In 2006, a number of changes in the Dutch health insurance system came into effect. In this new system mobility of insured is important. The idea is that insured switch insurers because they are not satisfied with quality of care and the premium of their insurance. As a result, insurers will in theory strive for a better balance between price and quality. The Dutch changes have caught the attention, internationally, of both policy makers and researchers. In our study we examined switching behaviour over three years (2007-2009). We tested if there are differences in the numbers of switchers between groups defined by socio-demographic and health characteristics and between the general population and people with chronic illness or disability. We also looked at reasons for (not-)switching and at perceived barriers to switching. METHODS Switching behaviour and reasons for (not-)switching were measured over three years (2007-2009) by sending postal questionnaires to members of the Dutch Health Care Consumer Panel and of the National Panel of people with Chronic illness or Disability. Data were available for each year and for each panel for at least 1896 respondents - a response of between 71% and 88%. RESULTS The percentages of switchers are low; 6% in 2007, 4% in 2008 and 3% in 2009. Younger and higher educated people switch more often than older and lower educated people and women switch more often than men. There is no difference in the percentage of switchers between the general population and people with chronic illness or disability. People with a bad self-perceived health, and chronically ill and disabled, perceive more barriers to switching than others. CONCLUSION The percentages of switchers are comparable to the old system. Switching is not based on quality of care and thus it can be questioned whether it will lead to a better balance between price and quality. Although there is no difference in the frequency of switching among the chronically ill and disabled and people with a bad self-perceived health compared to others, they do perceive more barriers to switching. This suggests there are inequalities in the new system.
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MacNeil Vroomen J, Zweifel P. Preferences for health insurance and health status: does it matter whether you are Dutch or German? THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2011; 12:87-95. [PMID: 20446014 DOI: 10.1007/s10198-010-0248-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2008] [Accepted: 04/13/2010] [Indexed: 05/24/2023]
Abstract
This contribution seeks to measure preferences for health insurance of individuals with and without chronic conditions in two countries, Germany and the Netherlands. The objective is to test the presumption that preferences between these two subpopulations differ and to see whether having a chronic condition has a different influence on preferences depending on the country. The evidence comes from two Discrete Choice Experiments performed in 2005 (Germany) and 2006 (the Netherlands, right after a major health reform). Results point to an even more marked resistance against restrictions of physician choice among individuals with chronic conditions in both countries. Thus, the alleged beneficiaries of Disease Management Programs would have to be highly compensated for accepting the restrictions that go with them.
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Competition in Health Care Markets11We wish to thank participants at the Handbook of Health Economics meeting in Lisbon, Portugal, Pedro Pita Barros, Rein Halbersman, and Cory Capps for helpful comments and suggestions. Misja Mikkers, Rein Halbersma, and Ramsis Croes of the Netherlands Healthcare Authority graciously provided data on hospital and insurance market structure in the Netherlands. David Emmons kindly provided aggregates of the American Medical Association's calculations of health insurance market structure. Leemore Dafny was kind enough to share her measures of market concentration for the large employer segment of the US health insurance market. All opinions expressed here and any errors are the sole responsibility of the authors. No endorsement or approval by any other individuals or institutions is implied or should be inferred. HANDBOOK OF HEALTH ECONOMICS 2011. [DOI: 10.1016/b978-0-444-53592-4.00009-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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Hendriks M, de Jong JD, van den Brink-Muinen A, Groenewegen PP. The intention to switch health insurer and actual switching behaviour: are there differences between groups of people? Health Expect 2009; 13:195-207. [PMID: 19906212 DOI: 10.1111/j.1369-7625.2009.00583.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Several western countries have introduced managed competition in their health care system. In the Netherlands, a new health insurance law was introduced in January 2006 making it easier to switch health insurer each year. OBJECTIVE The objective was to measure people's intention to switch health insurer and actual switching behaviour. We also examined whether some groups were less inclined to switch health insurer and/or had more difficulty to exert their intention to switch. DESIGN In October 2006, members of three Dutch panels indicated whether they intended to switch health insurer during that year's open enrollment period. In the beginning of 2007, the same people were asked whether they indeed switched health insurer. RESULTS Only 1% intended to switch health insurer. Women, older people, lower educated people, people who were insured for a longer period and people who reported a bad or moderate health were less inclined to switch health insurer. The amount of switching was higher among individuals who intended to switch (31%) than among individuals who did not know whether they would switch (7%) and individuals with no intention to switch (2%). Among those who intended to switch health insurer, women and people who reported a good health switched health insurer more often. The years of enrollment were also associated with actual switching behaviour. DISCUSSION AND CONCLUSIONS We might have to temper the optimistic expectations on enhanced choice. Future research should determine why people do not switch health insurer when they intend to and which barriers they experience.
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Affiliation(s)
- Michelle Hendriks
- NIVEL-Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
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Dormont B, Geoffard PY, Lamiraud K. The influence of supplementary health insurance on switching behaviour: evidence from Swiss data. HEALTH ECONOMICS 2009; 18:1339-1356. [PMID: 19267356 DOI: 10.1002/hec.1441] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
This paper focuses on the switching behaviour of enrolees in the Swiss basic health insurance system. Even though the new Federal Law on Social Health Insurance (LAMal) was implemented in 1996 to promote competition among health insurers in basic insurance, there is limited evidence of premium convergence within cantons. This indicates that competition has not been effective so far, and reveals some inertia among consumers who seem reluctant to switch to less expensive funds. We investigate one possible barrier to switching behaviour, namely the influence of supplementary insurance. We use survey data on health plan choice (a sample of 1943 individuals whose switching behaviours were observed between 1997 and 2000) as well as administrative data relative to all insurance companies that operated in the 26 Swiss cantons between 1996 and 2005. The decision to switch and the decision to subscribe to a supplementary contract are jointly estimated.Our findings show that holding a supplementary insurance contract substantially decreases the propensity to switch. However, there is no negative impact of supplementary insurance on switching when the individual assesses his/her health as 'very good'. Our results give empirical support to one possible mechanism through which supplementary insurance might influence switching decisions: given that subscribing to basic and supplementary contracts with two different insurers may induce some administrative costs for the subscriber, holding supplementary insurance acts as a barrier to switch if customers who consider themselves 'bad risks' also believe that insurers reject applications for supplementary insurance on these grounds. In comparison with previous research, our main contribution is to offer a possible explanation for consumer inertia. Our analysis illustrates how consumer choice for one's basic health plan interacts with the decision to subscribe to supplementary insurance.
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Affiliation(s)
- Brigitte Dormont
- Institute of Health Economics and Management (IEMS), University of Lausanne, Lausanne, Switzerland
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de Jong JD, van den Brink-Muinen A, Groenewegen PP. The Dutch health insurance reform: switching between insurers, a comparison between the general population and the chronically ill and disabled. BMC Health Serv Res 2008; 8:58. [PMID: 18366678 PMCID: PMC2287167 DOI: 10.1186/1472-6963-8-58] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2007] [Accepted: 03/19/2008] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND On 1 January 2006 a number of far-reaching changes in the Dutch health insurance system came into effect. In the new system of managed competition consumer mobility plays an important role. Consumers are free to change their insurer and insurance plan every year. The idea is that consumers who are not satisfied with the premium or quality of care provided will opt for a different insurer. This would force insurers to strive for good prices and quality of care. Internationally, the Dutch changes are under the attention of both policy makers and researchers. Questions answered in this article relate to switching behaviour, reasons for switching, and differences between population categories. METHODS Postal questionnaires were sent to 1516 members of the Dutch Health Care Consumer Panel and to 3757 members of the National Panel of the Chronically ill and Disabled (NPCD) in April 2006. The questionnaire was returned by 1198 members of the Consumer Panel (response 79%) and by 3211 members of the NPCD (response 86%). Among other things, questions were asked about choices for a health insurer and insurance plan and the reasons for this choice. RESULTS Young and healthy people switch insurer more often than elderly or people in bad health. The chronically ill and disabled do not switch less often than the general population when both populations are comparable on age, sex and education. For the general population, premium is more important than content, while the chronically ill and disabled value content of the insurance package as well. However, quality of care is not important for either group as a reason for switching. CONCLUSION There is increased mobility in the new system for both the general population and the chronically ill and disabled. This however is not based on quality of care. If reasons for switching are unrelated to the quality of care, it is hard to believe that switching influences the quality of care. As yet there are no signs of barriers to switch insurer for the chronically ill and disabled. This however could change in the future and it is therefore important to monitor changes.
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Affiliation(s)
- Judith D de Jong
- NIVEL-Netherlands Institute for Health Services Research, PO Box 1568, 3500 BN Utrecht, The Netherlands.
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