14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Observed Cost and Variations in Short Term Cost‐Effectiveness of Therapy for Ischemic Stroke in Interventional Management of Stroke (IMS) III

      research-article
      , DrPH 2 , , , PhD 2 , , PhD 4 , , PhD 3 , , PhD 3 , , MD 1 , , MD 1 , , MS 3 , , MD 6 , , MD 1 , , MD 6 , , MD 5 , , MD 7 , , MD 8 , , Dr. med 9 , , MD 10 , , MD 6 , , MD 11 , 12 , , MD, PhD 13 , , MD 14 , 15 , , MD, PhD 16 , , RN, BSN 1 , , RN, BA, RT(R) 1 , , RN, BN 6 , , PhD 17 , , MD 1 , the Interventional Management of Stroke (IMS) III Investigators
      Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
      John Wiley and Sons Inc.
      cost, cost‐effectiveness, ischemic, stroke, stroke care, tissue‐type plasminogen activator, Ischemic Stroke, Health Services, Cost-Effectiveness, Cerebrovascular Procedures

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Examination of linked data on patient outcomes and cost of care may help identify areas where stroke care can be improved. We report on the association between variations in stroke severity, patient outcomes, cost, and treatment patterns observed over the acute hospital stay and through the 12‐month follow‐up for subjects receiving endovascular therapy compared to intravenous tissue plasminogen activator alone in the IMS (Interventional Management of Stroke) III Trial.

          Methods and Results

          Prospective data collected for a prespecified economic analysis of the trial were used. Data included hospital billing records for the initial stroke admission and subsequent detailed resource use after the acute hospitalization collected at 3, 6, 9, and 12 months. Cost of follow‐up care varied 6‐fold for patients in the lowest (0–1) and highest (20+) National Institutes of Health Stroke Scale category at 5 days, and by modified Rankin Scale at 3 months. The kind of resources used postdischarge also varied between treatment groups. Incremental short‐term cost‐effectiveness ratios varied greatly when treatments were compared for patient subgroups. Patient subgroups predefined by stroke severity had incremental cost‐effectiveness ratios of $97 303/quality‐adjusted life year (severe stroke) and $3 187 805/quality‐adjusted life year (moderately severe stroke).

          Conclusions

          Detailed economic and resource utilization data from IMS III provide powerful evidence for the large effect that patient outcome has on the economic value of medical and endovascular reperfusion therapies. These data can be used to inform process improvements for stroke care and to estimate the cost‐effectiveness of endovascular therapy in the US health system for stroke intervention trials.

          Clinical Trial Registration

          URL: http://www.clinicaltrials.gov. Registration number: NCT00359424.

          Related collections

          Most cited references18

          • Record: found
          • Abstract: found
          • Article: not found

          Use of cost-effectiveness analysis in health-care resource allocation decision-making: how are cost-effectiveness thresholds expected to emerge?

          An increasing number of health-care systems, both public and private, such as managed-care organizations, are adopting results from cost-effectiveness (CE) analysis as one of the measures to inform decisions on allocation of health-care resources. It is expected that thresholds for CE ratios may be established for the acceptance of reimbursement or formulary listing. This paper provides an overview of the development of and debate on CE thresholds, reviews threshold figures (i.e., cost per unit of health gain) currently proposed for or applied to resource-allocation decisions, and explores how thresholds may emerge. At the time of this review, there is no evidence from the literature that any health-care system has yet implemented explicit CE ratio thresholds. The fact that some government agencies have utilized results from CE analysis in pricing/reimbursement decisions allows for retrospective analysis of the consistency of these decisions. As CE analysis becomes more widely utilized in assisting health-care decision-making, this may cause decision-makers to become increasingly consistent. When CE analysis is conducted, well-established methodology should be used and transparency should be ensured. CE thresholds are expected to emerge in many countries, driven by the need for transparent and consistent decision-making. Future thresholds will likely be higher in most high-income countries than currently cited rules of thumb.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Pulling cost-effectiveness analysis up by its bootstraps: a non-parametric approach to confidence interval estimation.

            The statistic of interest in the economic evaluation of health care interventions is the incremental cost effectiveness ratio (ICER), which is defined as the difference in cost between two treatment interventions over the difference in their effect. Where patient-specific data on costs and health outcomes are available, it is natural to attempt to quantify uncertainty in the estimated ICER using confidence intervals. Recent articles have focused on parametric methods for constructing confidence intervals. In this paper, we describe the construction of non-parametric bootstrap confidence intervals. The advantage of such intervals is that they do not depend on parametric assumptions of the sampling distribution of the ICER. We present a detailed description of the non-parametric bootstrap applied to data from a clinical trial, in order to demonstrate the strengths and weaknesses of the approach. By examining the bootstrap confidence limits successively as the number of bootstrap replications increases, we conclude that percentile bootstrap confidence interval methods provide a promising approach to estimating the uncertainty of ICER point estimates. However, successive bootstrap estimates of bias and standard error suggests that these may be unstable; accordingly, we strongly recommend a cautious interpretation of such estimates.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Global stroke statistics.

              In many countries, stroke is a lower priority than other diseases despite its public health impact. One issue is a lack of readily accessible comparative data to help make the case for the development of national stroke strategies. To assist in this process, we need to have a common repository of the latest published information on the impact of stroke worldwide. We aim to provide a repository of the most current incidence and mortality data on stroke available by country and illustrate the gaps in these data. We plan to update this repository annually and expand the scope to address other aspects of the burden of stroke. Data were compiled using two approaches: (1) an extensive literature review with a major focus on published systematic reviews on stroke incidence (between 1980 and May 14, 2013); and (2) direct acquisition and collation of data from the World Health Organization to present the most current estimates of stroke mortality for each country recognized by the World Health Organization. For mortality, ICD8, ICD9, and ICD10 mortality codes were extracted. Using population denominators crude stroke mortality was calculated, as well as adjusting for the World Health Organization world population. We used only the most recent year reported to the World Health Organization. Incidence rates for stroke were available for 52 countries, with some countries having incidence studies undertaken in more than one region. When adjusted to the World Health Organization world standard population, incidence rates for stroke ranged from 41 per 100 000 population per year in Nigeria (1971-74) to 316/ 100 000/year in urban Dar-es-Salaam (Tanzania). Some regions had three to fivefold greater incidence than other countries. Of the 123 countries reporting mortality data, crude mortality was greatest in Kazhakstan (in 2003). In many regions data were very old or nonexistent. Such country-level data are important for citizens, clinicians, and policy makers so that local and global strategies to reduce the overall burden of stroke can be implemented. Through this first annual review of country-specific stroke epidemiology, we hope to promote discussion and provide insights into the worldwide burden of stroke.
                Bookmark

                Author and article information

                Contributors
                simpsonk@musc.edu
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                08 May 2017
                May 2017
                : 6
                : 5 ( doiID: 10.1002/jah3.2017.6.issue-5 )
                : e004513
                Affiliations
                [ 1 ] Departments of Neurology and Rehabilitation Medicine and Radiology University of Cincinnati Gardner Neuroscience Institute University of Cincinnati Academic Health Center Cincinnati OH
                [ 2 ] Department of Healthcare Leadership and Management Medical University of South Carolina Charleston SC
                [ 3 ] Department of Public Health Sciences Medical University of South Carolina Charleston SC
                [ 4 ] Department of General Internal Medicine and Geriatrics Medical University of South Carolina Charleston SC
                [ 5 ] Division of Emergency Medicine Medical University of South Carolina Charleston SC
                [ 6 ] Calgary Stroke Program Departments of Clinical Neurosciences and Radiology Seaman Family MR Research Centre Hotchkiss Brain Institute University of Calgary Calgary Alberta Canada
                [ 7 ] Stroke Institute University of Pittsburgh Medical Center Pittsburgh PA
                [ 8 ] Melbourne Brain Centre Royal Melbourne Hospital University of Melbourne Melbourne Victoria Australia
                [ 9 ] Institute of Diagnostic and Interventional Neuroradiology University Hospital Dresden Dresden Germany
                [ 10 ] Neurovascular Unit Department of Neurology Hospital Universitari Vall d'Hebron Barcelona Spain
                [ 11 ] Department of Neurology University Medical Center Utrecht and the Rudolph Magnus Institute of Neurosciences Utrecht The Netherlands
                [ 12 ] St. Antonius Hospital Nieuwegein The Netherlands
                [ 13 ] Department of Neurology and Stroke Center Lariboisière Hospital DHU NeuroVasc Paris France
                [ 14 ] Neurorehabilitation Unit Department of Neurology Basel University Hospital University of Basel Basel Switzerland
                [ 15 ] University Center for Medicine of Aging Felix Platter Hospital Basel Switzerland
                [ 16 ] George Institute for Global Health Royal Prince Alfred Hospital University of Sydney Sydney Australia
                [ 17 ] National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda MD
                Author notes
                [*] [* ] Correspondence to: Kit N. Simpson, DrPH, College of Health Professions, Medical University of South Carolina, MSC 962, 151B Rutledge Ave, Charleston, SC 29425. E‐mail: simpsonk@ 123456musc.edu
                [†]

                A complete list of the IMS (Interventional Management of Stroke) III Investigators is provided in Appendix  S1.

                Article
                JAH32232
                10.1161/JAHA.116.004513
                5524059
                28483774
                d223b543-3f70-4e91-9d8a-de05a4ad7041
                © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 18 August 2016
                : 22 March 2017
                Page count
                Figures: 5, Tables: 4, Pages: 16, Words: 9741
                Funding
                Funded by: NIH/NINDS
                Award ID: U01NS052220
                Award ID: U01NS054630
                Award ID: U01NS077304
                Funded by: Genentech Inc.
                Funded by: EKOS Corp.
                Funded by: Concentric Inc
                Funded by: Boehringer Ingelheim
                Funded by: South Carolina Clinical & Translational Research (SCTR) Institute
                Funded by: NIH‐NCATS
                Award ID: UL1 TR001450
                Funded by: MUSC Office of the Provost
                Categories
                Original Research
                Original Research
                Health Services and Outcomes Research
                Custom metadata
                2.0
                jah32232
                May 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.3 mode:remove_FC converted:11.07.2017

                Cardiovascular Medicine
                cost,cost‐effectiveness,ischemic,stroke,stroke care,tissue‐type plasminogen activator,ischemic stroke,health services,cost-effectiveness,cerebrovascular procedures

                Comments

                Comment on this article