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        <title>Cost Effectiveness and Resource Allocation - Latest Comments</title>
        <link>http://www.resource-allocation.com/comments</link>
        <description>The latest comments on all articles published by Cost Effectiveness and Resource Allocation</description>
        <dc:date>2011-11-29T01:56:19Z</dc:date>
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                                <rdf:li resource="http://www.resource-allocation.com/content/9/1/4" />
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        <item rdf:about="http://www.resource-allocation.com/content/9/1/4/comments#536692">
        <title>Erratum</title>
        <link>http://www.resource-allocation.com/content/9/1/4/comments#536692</link>
        <description>&lt;p&gt;In their discussion section, the author&#191;s state;
&lt;br/&gt;
&lt;br/&gt;A literature review of four previous studies showed a combination of some methodological limitations in all of them: short-term analyses[21,24]; intermediate outcome measures[21,23]; a model based entirely on secondary sources[22]; or a biased sensitivity analysis[23].
&lt;br/&gt;
&lt;br/&gt;As the author of reference 23, I would like to point out that our paper did not contain a sensitivity analysis.  The author&#191;s accusation of bias cannot be true and should be corrected.&lt;/p&gt;</description>
                <dc:creator>David Rein</dc:creator>
                <dc:date>2011-11-29T01:56:19Z</dc:date>
        <prism:references>http://www.resource-allocation.com/content/9/1/4</prism:references>
        <prism:person>Perman et al.</prism:person>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:volume>9</prism:volume>
        <prism:startingPage>4</prism:startingPage>
        <prism:publicationDate>Tue Apr 05 16:49:26 BST 2011</prism:publicationDate>
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        <item rdf:about="http://www.resource-allocation.com/content/9/1/1/comments#462685">
        <title>GIGO</title>
        <link>http://www.resource-allocation.com/content/9/1/1/comments#462685</link>
        <description>&lt;p&gt;It&apos;s too bad money is wasted on a false foundation: CFS patients severely ill for 15-20-25 years, were not diagnosed using the CDC&apos;s flawed Empirical Definition. (See Leonard Jason&apos;s studies) that deleted the serious neurological and immune deficits/abnormalities. (See Canadian Consensus Criteria.) Reeves, Emory and Abt at it again!&lt;/p&gt;</description>
                <dc:creator>Kathryn Stephens</dc:creator>
                <dc:date>2011-11-29T01:54:23Z</dc:date>
        <prism:references>http://www.resource-allocation.com/content/9/1/1</prism:references>
        <prism:person>Lin et al.</prism:person>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:volume>9</prism:volume>
        <prism:startingPage>1</prism:startingPage>
        <prism:publicationDate>Fri Jan 21 02:09:26 GMT 2011</prism:publicationDate>
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        <item rdf:about="http://www.resource-allocation.com/content/9/1/8/comments#549700">
        <title>EVIDEM: an adaptable pragmatic open-source MCDA-based framework for accountable healthcare decisionmaking and priority setting</title>
        <link>http://www.resource-allocation.com/content/9/1/8/comments#549700</link>
        <description>&lt;p&gt;We would like to thank Youngkong et al for providing an opportunity to clarify a few important points regarding the EVIDEM framework (1,2). In their commentary on the &quot;usefulness of the EVIDEM framework for priority setting across a broad range of interventions&quot;, Youngkong et al report that &quot;the EVIDEM framework ignores the contextual nature of priority setting&quot;. The EVIDEM framework is intended to be adapted to local context, and actually includes a Contextual Tool to facilitate this process (www.evidem.org). The Contextual Tool prompts decisionmakers to identify their specific priorities and feasibility issues, and facilitates integration of these specific criteria into the framework. The framework is currently being tested and adapted by decisionmakers in several jurisdictions around the world (e.g, by a district health board in New Zealand, with adaptation, among other things, for specific needs of the Maori population), and some of the work has been published or presented (3-5).
&lt;br/&gt;
&lt;br/&gt;The commentary also states that &quot;the framework requires different expert panel to assess the intervention of every single intervention separately&quot;. We do not assert that each decision be made by different panels. The framework is actually intended to be adapted and then applied by standing committees, allowing a consistent approach to evaluate, rank, and prioritize a broad range of healthcare interventions on a scale that reflects the criteria deemed relevant by the decisionmaking body (3). The suggestion of Youngkong et al to develop a meaningful set of criteria by consulting relevant stakeholders is thus in full agreement with what we propose.
&lt;br/&gt;
&lt;br/&gt;The criteria and the simple weight elicitation method of the framework are proposed as a starting point to facilitate the development of a tool tailored to decisionmakers (e.g. testing in Canada [5] and South Africa [4]). Knowledge and understanding of decision criteria is currently being explored by an international research team through a literature review and a survey of criteria in use by healthcare decisionmakers globally (6). A number of other weight elicitation methods can be used and another research team is currently comparing the method proposed for EVIDEM with more standard MCDA methods such as Analytical Hierarchy Process (AHP).
&lt;br/&gt;
&lt;br/&gt;Pragmatism and accountability constitute the basic underlying ethos of the framework. It was designed to reflect the complexity of real-life decisionmaking and support systematic consideration of the numerous criteria upon which healthcare decisionmaking and prioritization is based. The DCE approach proposed by Youngkong et al has some limitation in the number of criteria that can be incorporated, so its use may be limited to decisionmakers who need to incorporate a maximum of six or seven criteria in their evaluations and prioritization processes.
&lt;br/&gt;
&lt;br/&gt;Academic research and feedback from users and testers is integrated into the open access EVIDEM instruments on an ongoing basis to make them more useful to stakeholders for their various applications. The objectives of the EVIDEM collaboration, an independent not-for-profit organization run by an international board of directors, are to enhance public health by development of sound MCDA-based approaches. It is a collaborative endeavour and we appreciate discussions and efforts to facilitate application of MCDA-based frameworks for efficient decisionmaking and priority setting.
&lt;br/&gt;
&lt;br/&gt;References
&lt;br/&gt;1	Goetghebeur MM, Wagner M, Khoury H, Levitt RJ, Erickson LJ, Rindress D. Evidence and value: impact on decisionmaking - the EVIDEM framework and potential applications. BMC Health Services Research 2008, 8:270.
&lt;br/&gt;2	Goetghebeur MM, Wagner M, Khoury H, Rindress D, Gregoire JP, Deal C. Combining multicriteria decision analysis, ethics and health technology assessment: applying the EVIDEM decisionmaking framework to growth hormone for Turner syndrome patients. Cost Eff Resour Alloc. 2010;8(1):4.
&lt;br/&gt;3	Goetghebeur MM, Wagner M, Khoury H, Levitt R, Erickson LJ, Rindress D. Bridging multicriteria decision analysis (MCDA) and health technology assessment (HTA) for efficient healthcare decisionmaking: proof of concept study applying the EVIDEM framework to medicines appraisal. Medical Decision Making - In press. 2011.
&lt;br/&gt;4	Miot J, Wagner M, Khoury H, Anderson AN, Rindress D, Goetghebeur M. Field testing of a multi criteria decision analyses (MCDA) framework for coverage of a screening test for cervical cancer in South Africa. ISPOR European Meeting, Paris; 2009 Oct.
&lt;br/&gt;5	Tony M, Wagner M, Khoury H, Rindress D, Papastavros T, Oh P, et al.  Bridging health technology assessment (HTA) with multicriteria decision analyses (MCDA): field testing of the EVIDEM framework for coverage decisions by a public payer in Canada. BMC Health Services Research - under revision. 2011.
&lt;br/&gt;6	Guindo LA, Wagner M, Baltussen R, Rindress D, van Til J, Kind P, Goetghebeur M. Which criteria are used in health care decisionmaking and priority setting? A literature review for an international survey of decisionmakers. ISPOR Annual Meeting, Baltimore; 2011 May.&lt;/p&gt;</description>
                <dc:creator>Mireille Goetghebeur</dc:creator>
                <dc:date>2011-10-20T10:58:35Z</dc:date>
        <prism:references>http://www.resource-allocation.com/content/9/1/8</prism:references>
        <prism:person>Youngkong et al.</prism:person>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:volume>9</prism:volume>
        <prism:startingPage>8</prism:startingPage>
        <prism:publicationDate>Thu May 19 00:00:00 BST 2011</prism:publicationDate>
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        <item rdf:about="http://www.resource-allocation.com/content/9/1/10/comments#530691">
        <title>Adverse effects of hypnotic treatments</title>
        <link>http://www.resource-allocation.com/content/9/1/10/comments#530691</link>
        <description>&lt;p&gt;As a humble scientist with only 49 years experience in sleep research, I find myself confused by the sophisticated economic analyses of Scott et al. on the cost-effectiveness of treating insomnia.  Could it be that the economic models estimate the cost-benefits of successful insomnia treatment versus non-treatment but do not estimate the costs of adverse effects of treatment?  For an old guy, reading gets a little blurry.  I simply couldn&#191;t see in Figure 3 where those clever pathways allowed for the possibility of adverse effects.
&lt;br/&gt;
&lt;br/&gt;	For example, the authors&#191; analysis utilized the fact that people reporting insomnia have more automobile accidents than people not reporting insomnia.  Did the analysis include the fact that people treated for insomnia with hypnotic drugs have worse driving than people not treated with hypnotic drugs [1]?  Did the analysis include controlled trial evidence that patients randomly treated with hypnotics have more depression, more infection, and more cancer than those randomized to placebo [2-4]?  Mallon, Broman, and Hetta found that use of hypnotics was associated with mortality ratios of 4.54 in men and 2.03 in women [5].  There are 18 published studies showing that use of hypnotics is associated with excess mortality.  Would mortality perhaps influence QALYs or health costs? 
&lt;br/&gt;
&lt;br/&gt;	It might be that treating insomnia with cognitive-behavioral methods would save money (I do not really know), but that probably has a rather different cost-benefit ratio than treating with hypnotic drugs.  Different treatments will have different cost/benefit ratios.  Whatever the treatment, we cannot assume that all the impairment associated with insomnia is causal, nor that all the benefit associated with treatment is causal (since those treated with placebo usually improve in controlled trials). Unfortunately, the current literature does not include large enough randomized controlled trials to really estimate cost-benefits of any insomnia treatment, and the largest trials have all been sponsored by hypnotics manufacturers who might have a financial interest in the reports.
&lt;br/&gt;
&lt;br/&gt;Reference List
&lt;br/&gt;
&lt;br/&gt;	1. Gustavsen I, Bramness JG, Skurtveit S, Engeland A, Neutel I, Morland J: Road traffic accident risk related to prescriptions of the hypnotics zopiclone, zolpidem, flunitrazepam and nitrazepam. Sleep Med 2008.
&lt;br/&gt;	2. Kripke DF: Greater incidence of depression with hypnotics than with placebo. BMC Psychiatry 2007, 7:42.
&lt;br/&gt;	3. Joya FL, Kripke DF, Loving RT, Dawson A, Kline LE: Meta-Analyses of Hypnotics and Infections: Eszopiclone, Ramelteon, Zaleplon, and Zolpidem. J Clin Sleep Med 2009, 5:377-383.
&lt;br/&gt;	4. Kripke DF: Possibility that certain hypnotics might cause cancer in skin. J Sleep Res 2008, 7:245-250.
&lt;br/&gt;	5. Mallon L, Broman JE, Hetta J: Is usage of hypnotics associated with mortality? Sleep Med 2009, 10:279-286.&lt;/p&gt;</description>
                <dc:creator>Daniel Kripke</dc:creator>
                <dc:date>2011-07-11T10:17:44Z</dc:date>
        <prism:references>http://www.resource-allocation.com/content/9/1/10</prism:references>
        <prism:person>Scott et al.</prism:person>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:volume>9</prism:volume>
        <prism:startingPage>10</prism:startingPage>
        <prism:publicationDate>Tue Jun 21 00:00:00 BST 2011</prism:publicationDate>
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