5 research outputs found

    Hospital choice for cataract treatments: The winner takes most

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    Background: Transparency in quality of care is an increasingly important issue in healthcare. In many international healthcare systems, transparency in quality is crucial for health insurers when purchasing care on behalf of their consumers, for providers to improve the quality of care (if necessary), and for consumers to choose their provider in case treatment is needed. Conscious consumer choices incentivize healthcare providers to deliver better quality of care. This paper studies the impact of quality on patient volume and hospital choice, and more specifically whether high quality providers are able to attract more patients. Methods: The dataset covers the period 2006-2011 and includes all patients who underwent a cataract treatment in the Netherlands. We first estimate the impact of quality on volume using a simple ordinary least squares (OLS), second we use a mixed logit to determine how patients make trade-offs between quality, distance and waiting time in provider choice. Results: At the aggregate-level we find that, a one-point quality increase, on a scale of one to a hundred, raises patient volume for the average hospital by 2-4 percent. This effect is mainly driven by the hospital with the highest qu

    Zorggebruik en beloning van medisch specialisten

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    De introductie van het nieuwe zorgstelsel in 2006 had als doel om een efficiëntere zorgverlening en betere kwaliteit van de zorg te realiseren. Regio’s vertonen tijdspersistente verschillen in het aantal behandelingen in ziekenhuizen bij eenzelfde zorgvraag tussen 2006 en 2009. Deze verschillen hangen sterk samen met het aantal artsen en de beloningsstructuur van de specialist. De prikkel tot meer behandelen speelt sterker bij vrij gevestigde specialisten dan bij specialisten in loondienst

    Does managed competition constrain hospitals' contract prices? Evidence from the Netherlands

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    In the Dutch health care system, health insurers negotiate with hospitals about the pricing of hospital products in a managed competition framework. In this paper, we study these contract prices that became for the first time publicly available in 2016. The data show substantive price variation between hospitals for the same products, and within a hospital for the same product across insurers. About 27% of the contract prices for a hospital product are at least 20% higher or lower than the average contract price in the market. For about half of the products, the highest and the lowest contract prices across hospitals differ by a factor of three or more. Moreover, hospital product prices do not follow a consistent ranking across hospitals, suggesting substantial cross-subsidization between hospital products. Potential explanations for the large and seemingly random price variation are: (i) different cost pricing methods used by hospitals, (ii) uncertainty due to frequent changes in the hospital payment system, (iii) price adjustments related to negotiated lumpsum payments and (iv) differences in hospital and insurer market power. Several policy options are discussed to reduce variation and increase transparency of hospital prices

    Does independent needs assessment limit use of publicly financed long-term care?

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    In health care the assessment of patients’ needs is typically entrusted to health care providers. By contrast, in publicly financed long-term care (LTC) needs assessment is often delegated to an independent assessor. One rationale offered for independent needs assessment in LTC is to limit the scope for moral hazard and supplier-induced demand, which may be particularly strong in case of public LTC insurance. We study whether independent needs assessment restricts use of publicly financed LTC at the intensive margin (i.e. after people are being assessed to be eligible for receiving care). Therefore, we link nationwide Dutch administrative datasets about individual LTC use and eligibility decisions by the independent assessment agency in 2012. We find for virtually all types of care, all population subgroups, and all regions that LTC use by patients was substantially less than the maximum amount of care allowed by the independent assessor. This suggests that in the Netherlands independent needs assessment in LTC does not impose a binding constraint on use once a person is considered eligible for care. Still, independent needs assessment may have reduced LTC use at the extensive margin. A significant proportion of the applications for care (16 %) was rejected. In addition, the independent assessment may deter some people from applying

    Prices and market power in mental health care: Evidence from a major policy change in the Netherlands

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    In the Dutch health care system of managed competition, insurers and mental health providers negotiate on prices for mental health services. Contract prices are capped by a regulator who sets a maximum price for each mental health service. In 2013, the majority of the contract prices equaled these maximum prices. We study price setting after a major policy change in 2014. In 2014, mental health care providers had to negotiate prices with each individual health insurer separately, instead of with all insurers collectively as in 2013. Moreover, after a cost-price revision, the regulator increased in 2014 maximum prices by about 10%. Insurers and mental health providers reacted to this policy change by setting most contract prices below the new maximum prices. We find that in 2014 mental health providers with more market power, that is, a higher willingness-to-pay measure, contracted significantly higher prices. Some insurers negotiated significantly lower prices than other insurers but these differences are unrelated to an insurers' market share
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