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      Assessing value‐based health care delivery for haemodialysis

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          Abstract

          Rationale, aims and objectives

          Disparities in haemodialysis outcomes among centres have been well‐documented. Besides, attempts to assess haemodialysis results have been based on non‐comprehensive methodologies. This study aimed to develop a comprehensive methodology for assessing haemodialysis centres, based on the value of health care. The value of health care is defined as the patient benefit from a specific medical intervention per monetary unit invested (Value = Patient Benefit/Cost). This study assessed the value of health care and ranked different haemodialysis centres.

          Method

          A nephrology quality management group identified the criteria for the assessment. An expert group composed of stakeholders (patients, clinicians and managers) agreed on the weighting of each variable, considering values and preferences. Multi‐criteria methodology was used to analyse the data. Four criteria and their weights were identified: evidence‐based clinical performance measures = 43 points; yearly mortality = 27 points; patient satisfaction = 13 points; and health‐related quality of life = 17 points (100‐point scale). Evidence‐based clinical performance measures included five sub‐criteria, with respective weights, including: dialysis adequacy; haemoglobin concentration; mineral and bone disorders; type of vascular access; and hospitalization rate. The patient benefit was determined from co‐morbidity–adjusted results and corresponding weights. The cost of each centre was calculated as the average amount expended per patient per year.

          Results

          The study was conducted in five centres (1–5). After adjusting for co‐morbidity, value of health care was calculated, and the centres were ranked. A multi‐way sensitivity analysis that considered different weights (10–60% changes) and costs (changes of 10% in direct and 30% in allocated costs) showed that the methodology was robust. The rankings: 4‐5‐3‐2‐1 and 4‐3‐5‐2‐1 were observed in 62.21% and 21.55%, respectively, of simulations, when weights were varied by 60%.

          Conclusions

          Value assessments may integrate divergent stakeholder perceptions, create a context for improvement and aid in policy‐making decisions.

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          Most cited references18

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          The urea reduction ratio and serum albumin concentration as predictors of mortality in patients undergoing hemodialysis.

          Among patients with end-stage renal disease who are treated with hemodialysis, solute clearance during dialysis and nutritional adequacy are determinants of mortality. We determined the effects of reductions in blood urea nitrogen concentrations during dialysis and changes in serum albumin concentrations, as an indicator of nutritional status, on mortality in a large group of patients treated with hemodialysis. We analyzed retrospectively the demographic characteristics, mortality rate, duration of hemodialysis, serum albumin concentration, and urea reduction ratio (defined as the percent reduction in blood urea nitrogen concentration during a single dialysis treatment) in 13,473 patients treated from October 1, 1990, through March 31, 1991. The risk of death was determined as a function of the urea reduction ratio and serum albumin concentration. As compared with patients with urea reduction ratios of 65 to 69 percent, patients with values below 60 percent had a higher risk of death during follow-up (odds ratio, 1.28 for urea reduction ratios of 55 to 59 percent and 1.39 for ratios below 55 percent). Fifty-five percent of the patients had urea reduction ratios below 60 percent. The duration of dialysis was not predictive of mortality. The serum albumin concentration was a more powerful (21 times greater) predictor of death than the urea reduction ratio, and 60 percent of the patients had serum albumin concentrations predictive of an increased risk of death (values below 4.0 g per deciliter). The odds ratio for death was 1.48 for serum albumin concentrations of 3.5 to 3.9 g per deciliter and 3.13 for concentrations of 3.0 to 3.4 g per deciliter. Diabetic patients had lower serum albumin concentrations and urea reduction ratios than nondiabetic patients. Low urea reduction ratios during dialysis are associated with increased odds ratios for death. These risks are worsened by inadequate nutrition.
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            Revised European best practice guidelines for the management of anaemia in patients with chronic renal failure.

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              Multiple criteria decision analysis for health technology assessment.

              Multicriteria decision analysis (MCDA) has been suggested by some researchers as a method to capture the benefits beyond quality adjusted life-years in a transparent and consistent manner. The objectives of this article were to analyze the possible application of MCDA approaches in health technology assessment and to describe their relative advantages and disadvantages. This article begins with an introduction to the most common types of MCDA models and a critical review of state-of-the-art methods for incorporating multiple criteria in health technology assessment. An overview of MCDA is provided and is compared against the current UK National Institute for Health and Clinical Excellence health technology appraisal process. A generic MCDA modeling approach is described, and the different MCDA modeling approaches are applied to a hypothetical case study. A comparison of the different MCDA approaches is provided, and the generic issues that need consideration before the application of MCDA in health technology assessment are examined. There are general practical issues that might arise from using an MCDA approach, and it is suggested that appropriate care be taken to ensure the success of MCDA techniques in the appraisal process. Copyright © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Role: Consultante.parra.moncasi@gmail.com
                Role: Consultant
                Role: Consultant
                Role: Consultant
                Role: Associate Professor
                Role: Associate Professor
                Role: Associate Professor
                Role: Professor
                Role: Consultant
                Journal
                J Eval Clin Pract
                J Eval Clin Pract
                10.1111/(ISSN)1365-2753
                JEP
                Journal of Evaluation in Clinical Practice
                John Wiley and Sons Inc. (Hoboken )
                1356-1294
                1365-2753
                11 December 2015
                June 2017
                : 23
                : 3 ( doiID: 10.1111/jep.2017.23.issue-3 )
                : 477-485
                Affiliations
                [ 1 ] Hospital Reina Sofía Tudela Tudela Navarra Spain
                [ 2 ] Hospital Perpetuo Socorro Alicante Spain
                [ 3 ] Hospital Valle del Nalón Langreo Asturias Spain
                [ 4 ] Hospital Casa de Salud Valencia Spain
                [ 5 ] Zaragoza University Zaragoza Spain
                [ 6 ] Hospital General Segovia Spain
                Author notes
                [*] [* ] Correspondence

                Dr Eduardo Parra Moncasi

                Renal Unit, Internal Medicine

                Hospital Reina Sofía Tudela

                C/Tarazona Km 3

                Tudela, Navarra 31500

                Spain

                E‐mail: e.parra.moncasi@ 123456gmail.com

                Article
                JEP12483
                10.1111/jep.12483
                6084341
                26662940
                24296e89-e25b-4003-a2aa-53b46e528cb5
                © 2015 The Authors. Journal of Evaluation in Clinical Practice published by John Wiley & Sons, Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 October 2015
                Page count
                Figures: 1, Tables: 4, Pages: 9, Words: 7030
                Categories
                Original Articles
                Original Articles
                Custom metadata
                2.0
                jep12483
                June 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.4.4 mode:remove_FC converted:09.08.2018

                Medicine
                delivery of health care,health care quality assessment,outcome assessment,renal dialysis,social values

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