Technology assessment, priority setting and appropriate care in Dutch health care

2004 ◽  
Vol 20 (4) ◽  
pp. 564-564 ◽  
Author(s):  
Marc Berg ◽  
Tom van der Grinten ◽  
Niek Klazinga
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Comparative Analysis ◽  
Priority Setting ◽  
Technology Assessment ◽  
Economic Evaluations ◽  
Technol Assess Health ◽  
Appropriate Care ◽  
Dutch Health ◽  
Dutch Health Care

References 8, 29, and 32 are incorrect as they appear in the article entitled “Technology assessment, priority setting, and appropriate care in Dutch health care,” by Marc Berg, Tom van der Grinten, and Niek Klazinga (Int J Technol Assess Health Care. 2004;20[1]:35-43). They should appear as follows: 8. Burgers JS, Bailey JV, Klazinga NS, et al. Inside guidelines: comparative analysis of recommendations and evidence in diabetes guidelines from 13 countries. Diabetes Care 2002;11:1933-1939.29. Zwart-van Rijkom JE, Leufkens HG, Busschbach JJ, et al. Differences in attitudes, knowledge and use of economic evaluations in decision-making in The Netherlands. The Dutch results from the EUROMET Project. Pharmacoeconomics 2000;2:149-160.32. Van der Grinten TED. Hervorming van de gezondheidszorg. Zal het deze keer wel lukken? Beleid & Maatschappij 2002;3:172-176.

Technology assessment, priority setting, and appropriate care in Dutch health care

2004 ◽  
Vol 20 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Marc Berg ◽  
Tom van der Grinten ◽  
Niek Klazinga
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Care Providers ◽  
Priority Setting ◽  
Technology Assessment ◽  
Guideline Development ◽  
Medical Community ◽  
Care Providers ◽  
Dutch Health ◽  
The Impact

This article provides a critical analysis of the impact of health technology assessment (HTA) on priority setting in The Netherlands. It describes the limited steering powers of the Dutch government; its complex interactions with insurers, health-care providers, and patients; and the role of HTA in this context as an attempt to rationalize the debate about cost-effectiveness issues. HTA has been drawn upon for decision making on the health insurance package. Also, HTA findings have been linked to the national guideline development programs of the medical community. However, these impacts by no means have been straightforward. We argue that the political nature of the priority-setting debate asks for a broader approach to what constitutes HTA, and how it should be drawn upon in priority setting. Suggestions are made on how to do justice to the social dynamics of decision making and the behavior of stakeholders in health-care systems.

SYSTEMATIC REVIEWS OF ECONOMIC EVALUATIONS: HOW EXTENSIVE ARE THEIR SEARCHES?

2017 ◽  
Vol 33 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Hannah Wood ◽  
Mick Arber ◽  
Julie M. Glanville
Keyword(s):  
Decision Making ◽  
Economic Evaluation ◽  
Systematic Reviews ◽  
Priority Setting ◽  
Technology Assessment ◽  
Health Technology ◽  
Economic Evaluations ◽  
Web Pages ◽  
Economic Evidence ◽  
Inclusion Criteria

Objectives: Economic evaluation (EE) is an accepted element of decision making and priority setting in healthcare. As the number of published EEs grows, so does the number of systematic reviews (SRs) of EEs. Although search methodology makes an important contribution to SR quality, search methods in reviews of EEs have not been evaluated in detail. We investigated the resources used to identify studies in recent, published SRs of EEs, and assessed whether the resources reflected recommendations.Methods: We searched MEDLINE for SRs of EEs published since January 2013 and extracted the following from eligible reviews: databases searched, health technology assessment (HTA) sources searched, supplementary search techniques used. Results were compared against the minimum search resources recommended by National Institute for Health and Care Excellence (NICE) (MEDLINE, Embase, NHS EED, EconLit) for economic evidence for single technology appraisals, and resource types suggested in the summary of current best evidence from SuRe Info (economic databases, general databases, HTA databases, HTA agency Web pages, gray literature).Results: Sixty-five SRs met the inclusion criteria; data were extracted from forty-two. Five reviews (12 percent) met or exceeded the NICE recommended resources. Nine reviews (21 percent) searched at least four of the five types of resource recommended by SuRe Info. Five reviews (12 percent) searched all five. Twenty-three reviews (55 percent) did not meet the NICE recommendations or four of five of the SuRe Info recommended resource types. Search reporting was frequently unclear or incorrect.Conclusions: Searches conducted for the majority of recently published SRs of EEs do not meet two published approaches.

Health technology assessment and priority setting for health policy in Sweden

2004 ◽  
Vol 20 (1) ◽  
pp. 44-54 ◽  
Author(s):  
Per Carlsson
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Technology Assessment ◽  
Priority Setting ◽  
Technology Assessment ◽  
Health Care Services ◽  
Public Involvement ◽  
Health Technology ◽  
Patient And Public Involvement ◽  
Care Services

This article describes the development of health technology assessment (HTA) in Sweden, its influence on decision making, and its link with priority setting. Sweden has a well established governmental HTA body, the Swedish Council on Technology Assessment in Health Care (SBU), and an increasing number of regional/local HTA organizations. HTA has had an impact on clinical practice and is used to some extent in policy decisions. Several initiatives have now been taken to develop processes for open priority setting of health-care services. With the establishment of a new agency to undertake reimbursement decisions on pharmaceuticals, and greater patient and public involvement in decision making, it seems inevitable that HTA will play a more important role in priority setting in the near future.

scholarly journals Unmasking a health care system: the Dutch policy response to the Covid-19 crisis

2021 ◽  
pp. 1-10 ◽  
Author(s):  
Iris Wallenburg ◽  
Jan-Kees Helderman ◽  
Patrick Jeurissen ◽  
Roland Bal
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Care System ◽  
Health Care Systems ◽  
Economic Policies ◽  
Hard Time ◽  
Dutch Health ◽  
Care Systems ◽  
Policy Systems ◽  
Care System

Abstract The Covid-19 pandemic has put policy systems to the test. In this paper, we unmask the institutionalized resilience of the Dutch health care system to pandemic crisis. Building on logics of crisis decision-making and on the notion of ‘tact’, we reveal how the Dutch government initially succeeded in orchestrating collective action through aligning public health purposes and installing socio-economic policies to soften societal impact. However, when the crisis evolved into a more enduring one, a more contested policy arena emerged in which decision-makers had a hard time composing and defending a united decision-making strategy. Measures have become increasingly debated on all policy levels as well as among experts, and conflicts are widely covered in the Dutch media. With the 2021 elections ahead, this means an additional test of the resilience of the Dutch socio-political and health care systems.

scholarly journals Some pain, no gain: experiences with the no-claim rebate in the Dutch health care system

2009 ◽  
Vol 4 (4) ◽  
pp. 405-424 ◽  
Author(s):  
J. HOLLAND ◽  
N.J.A. VAN EXEL ◽  
F.T. SCHUT ◽  
W.B.F. BROUWER
Keyword(s):  
Health Care ◽  
Health Insurance ◽  
Health Care System ◽  
Social Health Insurance ◽  
Convenience Sample ◽  
High Loss ◽  
Dutch Health ◽  
Dutch Health Care ◽  
Gp Visits ◽  
Care System

AbstractTo contain expenditures in an increasingly demand driven health care system, in 2005 a no-claim rebate was introduced in the Dutch health insurance system. Since demand-side cost sharing is a very controversial issue, the no-claim rebate was launched as a consumer friendly bonus system to reward prudent utilization of health services. Internationally, the introduction of a mandatory no-claim rebate in a social health insurance scheme is unprecedented. Consumers were entitled to an annual rebate of ₠ 255 if no claims were made. During the year, all health care expenses except for GP visits and maternity care were deducted from the rebate until the rebate became zero. In this article, we discuss the rationale of the no-claim rebate and the available evidence of its effect. Using a questionnaire in a convenience sample, we examined people’s knowledge, attitudes, and sensitivity to the incentive scheme. We find that only 4% of respondents stated that they would reduce consumption because of the no-claim rebate. Respondents also indicated that they were willing to accept a high loss of rebate in order to use a medical treatment. However, during the last month of the year many respondents seemed willing to postpone consumption until the next year in order to keep the rebate of the current year intact. A small majority of respondents considered the no-claim rebate to be unfair. Finally, we briefly discuss why in 2008 the no-claim rebate was replaced by a mandatory deductible.

The Governance of Quality Management in Dutch Health Care

2013 ◽  
Vol 22 (3) ◽  
pp. 236-247 ◽  
Author(s):  
J. A. M. Maarse ◽  
D. Ruwaard ◽  
C. Spreeuwenberg
Keyword(s):  
Health Care ◽  
Quality Management ◽  
Dutch Health ◽  
Dutch Health Care

HEALTH TECHNOLOGY ASSESSMENT AND CLINICAL DECISION MAKING:

1999 ◽  
Vol 15 (3) ◽  
pp. 585-592 ◽  
Author(s):  
Alicia Granados
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Technology Assessment ◽  
Case Studies ◽  
Technology Assessment ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Health Technology ◽  
Evidence Based ◽  
Systematic Process

This paper examines the rationality of the concepts underlying evidence—based medicineand health technology assessment (HTA), which are part of a new current aimed at promoting the use of the results of scientific studies for decision making in health care. It describes the different approaches and purposes of this worldwide movement, in relation to clinical decision making, through a summarized set of specific HTA case studies from Catalonia, Spain. The examples illustrate how the systematic process of HTA can help in several types of uncertainties related to clinical decision making.

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