The Economic Value of Enteral Medical Nutrition in the Management of Disease-Related Malnutrition: A Systematic Review

2014 ◽  
Vol 15 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Karen Freijer ◽  
Martijn J.L. Bours ◽  
Mark J.C. Nuijten ◽  
Marten J. Poley ◽  
Judith M.M. Meijers ◽  
...  
2019 ◽  
Vol 35 (1) ◽  
pp. 98-107
Author(s):  
Xenophon Theodoridis ◽  
Maria G. Grammatikopoulou ◽  
Arianna Petalidou ◽  
Stamatia-Maria Kontonika ◽  
Spyros P. Potamianos ◽  
...  

2019 ◽  
Vol 13 (5) ◽  
pp. 399-408 ◽  
Author(s):  
Jalaledin Mirzay Razaz ◽  
Jamal Rahmani ◽  
Hamed Kord Varkaneh ◽  
Jacqueline Thompson ◽  
Cain Clark ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e034472
Author(s):  
Blanchard Conombo ◽  
Jason Robert Guertin ◽  
Pier-Alexandre Tardif ◽  
Imen Farhat ◽  
Thomas Moore ◽  
...  

IntroductionUnderuse of high-value clinical practices and overuse of low-value practices are major sources of inefficiencies in modern healthcare systems. Injuries are second only to cardiovascular disease in terms of acute care costs but data on the economic impact of clinical practices for injury admissions are lacking. This study aims to summarise evidence on the economic value of intrahospital clinical practices for injury care.Methods and analysisWe will perform a systematic review to identify research articles in economic evaluation of intrahospital clinical practices in acute injury care. We will search MEDLINE and databases such as Embase, Web of Science, NHS Economic Evaluation Database, Cochrane CENTRAL, BIOSIS and CINAHL for randomised or non-randomised controlled trials and observational studies using a combination of keywords and controlled vocabulary. We will consider the following outcomes relative to economic evaluations: incremental cost-effectiveness ratio, incremental cost-utility ratio, incremental net health benefit, incremental net monetary benefit (iNMB) and incremental cost-benefit ratio. Pairs of independent reviewers will evaluate studies that meet eligibility criteria and extract data from included articles using an electronic data extraction form. All outcomes will be converted into iNMB. We will report iNMB for practices classified by type of practice (hospitalisation, consultation, diagnostic, therapeutic-surgical, therapeutic-drugs, therapeutic-other). Results obtained with a ceiling ratio of $50 000 per quality-adjusted life year gained for identified clinical practices will be summarised by charting forest plots. In line with Cochrane recommendations for systematic reviews of economic evaluations, meta-analyses will not be conducted.Ethics and disseminationEthics approval is not required as original data will not be collected. This study will summarise existing evidence on the economic value of clinical practices in injury care. Results will be used to advance knowledge on value-based care for injury admissions and will be disseminated through a peer-reviewed article, international scientific meetings and clinical and healthcare quality associations.


2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Oliver Damm ◽  
Bernhard Ultsch ◽  
Johannes Horn ◽  
Rafael T. Mikolajczyk ◽  
Wolfgang Greiner ◽  
...  

2017 ◽  
Vol 33 (S1) ◽  
pp. 192-193
Author(s):  
Michael Schlander ◽  
Oliver Schwarz ◽  
Ramon Schaefer

INTRODUCTION:Among economists, there is widespread agreement that the monetary valuation of health gains should reflect the preferences of those who will be affected by resource allocation decisions. In the context of Health Technology Assessments (HTAs), this view implies a need for reliable empirical estimates of the value of statistical life year (VSLY), which should provide a useful point of reference for cost benefit analyses.METHODS:We conducted a systematic review of the literature on the economic value of a statistical life (VSL). We searched in the EconBiz and EconLit databases for studies, which reported VSL estimates based on original research and were published between 1995 and 2015. We classified studies by methodology, that is, revealed preference (RP) or stated preference (SP; that is, CV, contingent valuation, or DCE (discrete choice experiment) approach, and by regional origin of data. We transformed VSL estimates into VSLY expressed in year 2014 Euros, using life expectancy tables for the populations studied, a real discount rate of 3 percent, national Consumer Price Indices for inflating, and purchasing power parities for currency conversion. In addition, we calculated ratios of VSLY to gross domestic product (GDP) per capita.RESULTS:Our search yielded 120 studies appropriate for inclusion. From these, we extracted a total of 132 VSL estimates (RP, n = 60; SP, n = 72). The median VSLY was 6.4 times GDP/capita. Transformed into Euro (2014), the median VSLY was EUR165,000 (mean, EUR217,000). We found significant differences by regional source of data (North American, median EUR272,000; European, EUR158,000) and by method (RP, EUR241,000; SP: CV, EUR117,000; DCE, EUR187,000). VSLY estimates were sensitive to discount rate.CONCLUSIONS:Our data indicate that VSLY estimates based on empirical data exceed benchmarks commonly used in the context of HTAs. However, inter-study variability, methodological limitations, and normative considerations, all suggest to exercise caution before translating this observation into actual policy.


Author(s):  
Moses John Strydom ◽  
Sheryl Buckley

Big data is the emerging field where innovative technology offers new ways to extract value from an unequivocal plethora of available information. By its fundamental characteristic, the big data ecosystem is highly conjectural and is susceptible to continuous and rapid evolution in line with developments in technology and opportunities, a situation that predisposes the field to research in very brief time spans. Against this background, both academics and practitioners oddly have a limited understanding of how organizations translate potential into actual social and economic value. This chapter conducts an in-depth systematic review of existing penchants in the rapidly developing field of big data research and, thereafter, systematically reviewed these studies to identify some of their weaknesses and challenges. The authors argue that, in practice, most of big data surveys do not focus on technologies, and instead present algorithms and approaches employed to process big data.


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