Tackling hospital waiting times: The impact of past and current policies in the Netherlands

Schut, Erik; Varkevisser, Marco

doi:10.1016/j.healthpol.2013.05.003

Cited by 27 publications

(41 citation statements)

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“…In the Netherlands, the reductions in waiting times between 2000 and 2006 were achieved following a radical change in the hospital financing system which switched from fixed budgets to activity-based funding [13,14]. Additional reductions in recent years can be attributed to a reform of specialist payments leading to a change from lump-sum payments to activity-based payments in 2008, and an expansion of price competition (as part of a broader managed competition reform) since 2005 [13].…”

Section: Reasons For the Reduction In Waiting Timesmentioning

confidence: 99%

Measuring and comparing health care waiting times in OECD countries

2014

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Waiting times for elective treatments are a key health-policy concern in several OECD countries. This study describes common measures of waiting times from administrative data across OECD countries. It focuses on common elective procedures, such as hip and knee replacement, and cataract surgery, where waiting times are notoriously long. It provides comparative data on waiting times across 12 OECD countries and presents trends in waiting times over the last decade. Waiting times appear to be low in the Netherlands and Denmark. In the last decade the United Kingdom (in particular England), Finland and the Netherlands have witnessed large reductions in waiting times which can be attributed to a range of policy initiatives, including higher spending, waiting-times target schemes and incentive mechanisms, which reward higher levels of activity. The negative trend in these countries has, however, halted or reversed in recent years. The analysis also emphasizes systematic differences across different waiting-time measures, in particular between the distribution of waiting times of patients treated versus that of patients on the list. Mean waiting times are systematically higher than median waiting times and the difference can be quantitatively large.

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Section: Reasons For the Reduction In Waiting Timesmentioning

confidence: 99%

Measuring and comparing health care waiting times in OECD countries

2014

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“…From Figure 1 it can be observed that total expenditure on personal health increased from 7.6 per cent to 9.8 per cent of GDP between 6 The procedures for which DTC rates were negotiated accounted for 34 per cent of total hospital expenditures in 2009-2011, rising to 70 per cent from 2012. Total expenditure on these procedures was capped at the hospital (and aggregate) level until 2012 and since then has been capped at the aggregate level (Schut and Varkevisser, 2013). 1972 and 1982, and then remained at around that proportion over the next two decades.…”

Section: Trends In Aggregate Health Expenditurementioning

confidence: 99%

“…between hospitals and insurers for some procedures, the share of which is rising over time. 6 The rates for other procedures are set by the government (Schut and Varkevisser, 2013).…”

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Spending on Health Care in the Netherlands: Not Going So Dutch

2017

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe Netherlands is among the top spenders on health in the OECD. We document the lifecycle profile, concentration and persistence of this expenditure using claims data covering both curative and long-term care expenses for the full Dutch population. Spending on health care is strongly concentrated: the one per cent of individuals with the highest levels of expenditure account for one quarter of the aggregate in any one year. Averaged over three years, the top one per cent still accounts for more than a fifth of the total, indicating a very high degree of persistence in the largest expenses. Spending on long-term care, which amounts to one third of all expenditure on health care, is even more concentrated: the top one per cent accounts for more than half of total spending on this type of care. Average expenditure rises steeply with age and even more so with proximity to death. Spending on individuals in their last year of life absorbs one tenth of aggregate health care expenditure. In a given year, spending on health care is highly skewed toward individuals with lower incomes. Average expenditure on the poorest fifth is more than three times that on the richest fifth. Spending on long-term care is five times more concentrated on the poor. Policy Points1. Spending on health care is highly concentrated on a small share of the population and is strongly persistent over time. 2. Public spending on long-term care is high and is even more concentrated and persistent. 3. In any given year, health spending is highly skewed towards poorer individuals. 4. The high concentration and persistence imply substantial interpersonal redistribution. 5. Steeply rising health expenditures with age and proximity to death imply substantial intrapersonal redistribution across the life cycle. JEL Codes: D12, I13, I14

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“…Finally, in 2011 in the Netherlands, it can shorten the waiting time for surgery shortened to no more than 5 weeks, so today government does not have to care about controlling the period of waiting longer, but to turn to the subject of price competition in the provision of hospital services in line with the state health insurance for future development plans. [3] When looking deeper into the matter of reducing the cost of the hospital. There was also research that studies the management of patient care from primary or first aid in England by a cross-sectional study in patients 5 million from the 8,000 actual of 10 chronic disease through patient records, data treatment, and logs that can reduce the cost of hospital or not.…”

Section: Background Literaturementioning

confidence: 99%

Demand of Innovative Services on a Computed Tomography Scan

et al. 2016

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Abstract. This paper seeks to investigate the needs of service, innovative Mobile Computed Tomography (CT) Scan service, from the leading level of Neurosurgeon in Bangkok, Thailand. The research is proposed investigating Neurosurgeon's expectations for Mobile CT Scan and current problems of CT scan operating. This is a survey research approach, performing in-depth interview which collected data from 21 Neurosurgeons, 12 hospitals in Bangkok and surrounding areas. Due to the number of samples limited, the descriptive statistics were used to analyze the data. The research address two research questions: According to the first research question, the authors' findings that most of Neurosurgeon need to use Mobile CT Scan at Operation Room (OR), Intensive Care Unit (ICU), and Emergency Room (ER), respectively. Regarding the second research question, the authors' analysis reveals purposes and found the current problems that when Neurosurgeon use CT Scan they faced low resolution and slice, moving unstable patients, wriggle patients, and Claustrophobia patients. Therefore, what are the findings of the survey are very useful in the design of new services for Mobile CT Scan to work in the next step.

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Tackling hospital waiting times: The impact of past and current policies in the Netherlands

Cited by 27 publications

References 11 publications

Measuring and comparing health care waiting times in OECD countries

Measuring and comparing health care waiting times in OECD countries

Spending on Health Care in the Netherlands: Not Going So Dutch

Demand of Innovative Services on a Computed Tomography Scan

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