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Published in: International Journal of Health Economics and Management 2/2015

Open Access 01-06-2015

Can universal access and competition in long-term care insurance be combined?

Authors: Pieter Bakx, Frederik Schut, Eddy van Doorslaer

Published in: International Journal of Health Economics and Management | Issue 2/2015

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Abstract

In countries with a public long-term care (LTC) insurance scheme administered by multiple non-competing insurers, these insurers typically lack incentives for purchasing cost-effective LTC because they are not at risk for LTC expenses. Plans to introduce these incentives by allowing competition among risk bearing LTC insurers are likely to jeopardize universal access. Combining universal access and competition among risk bearing LTC-insurers requires an adequate system of risk adjustment. While risk adjustment is now widely adopted in health insurance, LTC-specific features cause uncertainty about the feasibility of risk adjustment for LTC insurance. We examine the feasibility of appropriate risk adjustment in LTC insurance by using a rich set of linked nationwide Dutch administrative data. As expected, prior LTC use and demographic information are found to explain much of the variation in individual LTC expenses. However, we find that prior health care expenditures are also important in reducing predicted losses for subgroups of health care users. Nevertheless, incentives for risk selection against some easily identifiable subgroups persist. Moreover, using prior utilization and expenditure as risk adjusters reduces incentives for efficiency, creating a trade-off between equity and efficiency. To ease this trade-off, data on individuals’ underlying needs for LTC are required.
Appendix
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Footnotes
1
Definitions of LTC vary internationally. In this paper we focus on elderly care, which in the Netherlands (and elsewhere) accounts for the majority of total LTC expenditure covered by LTC insurance (CVZ 2011). Elderly care is defined as home care, social assistance, assistance with activities of daily living and inpatient stays in either a residential home or a nursing home. This definition comprises both “medical” and “non-medical” LTC: unlike in some other European countries, in the Netherlands there is no sharp distinction between medical and non-medical LTC.
 
2
See Van de Ven and Schut (2011) for a description of how these subsidies are organized and for a full overview of strategies that are used to ensure affordable access to coverage.
 
3
Insurers may engage in risk selection by differentiating their benefit packages or, if the benefit package is fixed, the level of service or the quality of the contracted provider network that they offer to each type of patient (Cao and McGuire 2003). Thus, an insurer may discourage individuals who need or desire a particular service to join its plan by limiting access or by contracting unattractive providers. Risk selection is undesirable because it may lead to welfare losses if (i) resources are employed for risk selection rather than for improving care; (ii) inefficient health plans that are successful in risk selection survive; and/or (iii) good quality LTC is underprovided (Van de Ven and Ellis 2000).
 
4
See De Meijer et al. (2011) for a more detailed description of the data.
 
5
Until 2006 enrollment was mandatory for two thirds of the population with an income below a threshold; the remainder of the population was not eligible for social health insurance and could buy private insurance. By contrast, public LTC insurance was (and is) mandatory for the entire population.
 
6
The selection of subgroups is based on data availability.
 
7
Other commonly used specifications did not provide a strictly better fit than OLS. Results for the other specifications are available from the corresponding author.
 
8
The remaining 5 % consisted of cash transfers, which are not in the dataset.
 
9
These four categories include domestic care I—cleaning, domestic care II—cleaning and help with organizing the household, personal care and nursing. Information on assistance and support is not available for 2005.
 
10
As for LTC, risk adjustment based on health care use rather than expenditures would reward insurers for negotiating lower prices but data on health care use was not available, except for the data needed to construct Diagnostic Cost Groups.
 
11
The assigned DCG does not match with the actual DCG for some individuals because of two limitations of the data set: 1. not all hospitals reported information on patients to the national medical registry; 2.information on two relevant ‘side treatments’, dialysis and artificial respiration at home was not available at all. As a consequence, DCG 13 (dialysis) is empty and the reference category consists of DCG0, DCG13 and patients who needed artificial respiration and should therefore be in DCG12. Furthermore, information on radiotherapy and chemotherapy was not specific enough to ensure that no patients who do not belong in the related DCG are excluded.
 
12
Table 3 in the appendix contains descriptive statistics and all regression results.
 
13
Tables 47 in the Appendix contain the predicted losses for all the subgroups that were included in the final model, 20 subgroups based on diagnosis from information on hospital admissions in 2004 and subgroups that were based on the POLS survey data; results for other subgroups are available from the corresponding author.
 
14
An alternative solution to the problems caused by risk selection would be to deny LTC users to switch from one insurer to another, yet this alternative would substantially reduce the insurer’s incentives to act as prudent buyers of LTC for this group and would increase their incentives to keep out future LTC users if risk adjustment is inadequate.
 
15
In addition to the incentives for efficiency and for meeting consumer preferences that managed competition may create for insurers, it may also affect overall efficiency by facilitating innovation through trial-and-error by insurers.
 
16
Risk adjustment may not only be used to equalize insurer payments and their expected costs but also in the context of capitated and bundled provider payments.
 
17
Risk adjustment based on multiple years of use may be more useful for home care than for institutional care because of the limited average length of stay at a care facility.
 
18
In addition, incentives for risk selection may be reduced by including more subgroups, e.g. based on socio-economic status and more specific information on prior use of durable medical equipment that indicates disability (see e.g. Van Kleef and Van Vliet 2010), as risk adjusters.
 
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Metadata
Title
Can universal access and competition in long-term care insurance be combined?
Authors
Pieter Bakx
Frederik Schut
Eddy van Doorslaer
Publication date
01-06-2015
Publisher
Springer US
Published in
International Journal of Health Economics and Management / Issue 2/2015
Print ISSN: 2199-9023
Electronic ISSN: 2199-9031
DOI
https://doi.org/10.1007/s10754-015-9163-3

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