Results 51 to 60 of about 3,067,770 (215)
Panel discussion on the application of MCDA tools
Cost Effectiveness and Resource Allocation, 2018 Prioritization in healthcare is particularly sensitive to subjective biases and data asymmetry. Yet making data-based and objective decisions are critical to optimizing long term individual and societal benefit.Michael Watsondoaj +1 more sourceCost-effective clustering [PDF]
Computer Physics Communications, 2001 Small Beowulf clusters can effectively serve as personal or group supercomputers. In such an environment, a cluster can be optimally designed for a specific problem (or a small set of codes). We discuss how theoretical analysis of the code and benchmarking on similar hardware lead to optimal systems.openaire +3 more sourcesThe use of cost-effectiveness analysis for health benefit package design – should countries follow a sectoral, incremental or hybrid approach?
Cost Effectiveness and Resource Allocation, 2023 Background Countries around the world are increasingly rethinking the design of their health benefit package to achieve universal health coverage. Countries can periodically revise their packages on the basis of sectoral cost-effectiveness analyses, i.e. Rob Baltussen, Gavin Surgey, Anna Vassall, Ole F. Norheim, Kalipso Chalkidou, Sameen Siddiqi, Mojtaba Nouhi, Sitaporn Youngkong, Maarten Jansen, Leon Bijlmakers, Wija Oortwijn +10 moredoaj +1 more sourceEconomics of tandem mass spectrometry screening of neonatal inherited disorders [PDF]
, 2006 Objectives: The aim of this study was to evaluate the cost-effectiveness of neonatal screening for phenylketonuria (PKU) and medium-chain acyl-coA dehydrogenase (MCAD) deficiency using tandem mass spectrometry (tandem MS).
Methods: A systematic review Beverley, C., Chilcott, J., Eastham, J., Paisley, S., Pandor, A. +4 morecore +1 more sourceAssessing the impact of grief on quality of life, work productivity, and health outcomes for parents bereaved from SMA: A study protocol
Cost Effectiveness and Resource Allocation, 2023 Background U.S. cost-effectiveness recommendations suggest that analyses should include all costs and effects relevant to the decision problem [1]. However, in many diseases, including spinal muscular atrophy (SMA), few studies have evaluated bereaved ...Abigail G. Riley, Christina M. Mulé, Debra Lerner, Lisa Belter, Colleen McCarthy O’Toole, Stacey Kowal, David Fox, Sheila Shapouri, Tamara Vesel, Tara A. Lavelle +9 moredoaj +1 more sourceEffectiveness and cost-effectiveness of a single home-based fall prevention program: a prospective observational study based on questionnaires and claims data
BMC GeriatricsBackground Fall prevention programmes are essential interventions in societies with aging populations. This study assessed the fall rate and other health outcomes, as well as the cost-effectiveness of a home-based fall prevention programme for community ...Karin Niedermann, André Meichtry, Barbara Zindel, Markus J. Ernst, Valérie Krafft, Renato Mattli, Irina Nast, Simon Wieser, Markus Wirz, Beatrice Brunner +9 moredoaj +1 more sourceCost-effectiveness of non-invasive methods for assessment and monitoring of liver fibrosis and cirrhosis in patients with chronic liver disease: systematic review and economic evaluation [PDF]
, 2015 BACKGROUND: Liver biopsy is the reference standard for diagnosing the extent of fibrosis in chronic liver disease; however, it is invasive, with the potential for serious complications., , , , , , , , , , , , , , , , , , , , , , , Adams, Adams, Afdhal, Aguirre, Ahmad, Aithal, Al-Mohri, Anaparthy, Andersson, Angulo, Arena, Argo, Asbach, Ascher, Aube, Aube, Awaya, Barshop, Barton, Bataller, Beckebaum, Bedossa, Bejarano, Belfort, Bellentani, Ben Jazia, Bennett, Berg, Blomme, Bolondi, Bonkovsky, Boring, Borroni, Bourliere, Boursier, Boursier, Briggs, Brown, Brunetto, Buntinx, Burton, Cales, Cales, Cales, Calvaruso, Calvaruso, Calvaruso, Camma, Cardi, Cardoso, Carlson, Carrion, Carvalho-Filho, Castera, Castera, Castera, Castera, Castera, Castera, Ceriani, Chalasani, Chalasani, Chan, Chang, Chavez-Tapia, Cheinquer, Chen, Chen, Chen, Cheung, Cho, Cholongitas, Chong, Chou, Christensen, Chrysanthos, Cioni, Claxton, Cobbold, Colletta, Colli, Colli, Colombo, Corradi, Crespo, Cross, Crowley, Crowley, Curtis, da Silva, Dakin, Danila, David, Davis, de Franchis, De Freitas, De Jongh, de Ledinghen, De Ledinghen, Degos, Denzer, Detre, Di Bisceglie, Di Marco, Dinesen, Dixon, Dixon, Do, Donnan, Drummond, Dusheiko, D’Amico, D’Onofrio, Ekstedt, Esmat, Esteban, Fabris, Fahmy, Fattovich, Fattovich, Fattovich, Fattovich, Fattovich, Fattovich, Feldstein, Fenwick, Ferral, Fontaine, Fontana, Fontanges, Forestier, Forns, Fraquelli, Fried, Fried, Friedrich-Rust, Fujii, Fujimoto, Fung, Gaia, Gaia, Gaiani, Ganne-Carrie, Gara, Germani, Germani, Giannini, Gierblinski, Gobel, Goodman, Goyal, Grieve, Grishchenko, Guajardo-Salinas, Guechot, Guechot, Guha, Gui, Guo-Qiu, Guzelbulut, Hadziyannis, Halfon, Halfon, Halfon, Hall, Harada, Harrison, Haukeland, Hongbo, Hoofnagle, Hsieh, Hu, Huang, Hui, Huwart, Iacobellis, Ibrahim, Idilman, Imbert-Bismut, Imperiale, Isgro, Ishibashi, Islam, Iushchuk, Jacobson, Jacobson, Jacobson, Janssens, John-Baptiste, Jones, Jones, Joseph, Kalantari, Kamal, Kamphues, Kandemir, Kaneda, Kayadibi, Kelleher, Kelleher, Khan, Khosravi, Kilpe, Kim, Kim, Kim, Kim, Kim, Kim, Kim, Kim, Koda, Koizumi, Kwok, Lackner, Ladenheim, Ladero, Lai, Lampertico, Lau, Lavallard, Lavanchy, Lavine, Lawitz, Lee, Lee, Lee, Leroy, Leroy, Leroy, Lesmana, Levy, Lewin, Li, Liaw, Liaw, Lichtinghagen, Lieber, Lin, Liu, Liu, Liu, Liu, Liu, Liu, Loko, Longworth, Lupsor, Lupsor, Lupsor, Lutz, Lydatakis, Macaskill, Macias, Macias, Mahadeva, Mahady, Mahady, Mallet, Manns, Manns, Manousou, Manousou, Marcellin, Marcellin, Marcellin, Martinez, Martinez, McLernon, McPherson, McPherson, Melin, Miailhes, Mohamadnejad, Moreno-Otero, Morgan, Morikawa, Motosugi, Mueller, Mummadi, Murawaki, Musso, Myers, Myers, Nagata, Nahon, Naveau, Naveau, Nguyen-Khac, Nishiura, Nitta, Nojiri, Numminen, Nunes, Obara, Ogawa, Oliveira, Ong, Orlacchio, Orlacchio, Osakabe, O’Shea, Paggi, Pais, Palmeri, Papalavrentios, Parise, Park, Park, Park, Park, Park, Parkes, Patel, Patel, Pawitpok, Pereira, Petta, Pimentel, Pohl, Poordad, Poynard, Poynard, Poynard, Poynard, Prati, Promrat, Qian, Qiu, Qureshi, Raftopoulos, Rakoski, Ramachandran, Raszeja-Wyszomirska, Ratziu, Ratziu, Ratziu, Ratziua, Realdi, Reedy, Reitsma, Ronot, Rosenberg, Rossi, Rossini, Ruffillo, Rustogi, Saab, Said, Saitou, Sakugawa, Sancheztapias, Sandrasegaran, Santos, Sanvisens, Sanyal, Sanyal, Sanyal, Schiavon, Schiavon, Schneider, Schneider, Schuetz, Sebastian, Sebastiani, Sebastiani, Sebastiani, Sebastiani, Sene, Seto, Sharabash, Shastry, Shen, Shepherd, Shepherd, Shepherd, Sherman, Sheth, Shields, Shiffman, Shimada, Shin, Shinkins, Shiramizu, Siebert, Sinakos, Singal, Sirli, Snyder, Snyder, Sohn, Sohn, Sokucu, Sonnenberg, Sporea, Sporea, Sporea, Sporea, Sporea, Standish, Sterling, Stevenson, Stibbe, Sud, Sumida, Sumida, Suzuki, Sweeting, Takeda, Tassopoulos, Terjung, Testa, Thompson, Thompson, Thompson, Thompson Coon, Thompson Coon, Tillmann, Tome, Toniutto, Tran, Trang, Trifan, Trocme, Tsochatzis, Tsochatzis, Tsochatzis, Tsochatzis, Tsochatzis, Tural, Uygun, Vallet-Pichard, Valva, Vanbiervliet, Varaut, Veenstra, Veenstra, Venkatesh, Vernon, Verrill, Viana, Vigano, Viganò, Wai, Wang, Wang, Ware, Westin, Whiting, Whiting, Whiting, Whiting, Wilby, Wilck, Wilson, Wong, Wong, Wong, Wong, Wong, Wong, Wong, Wong, Woo, Wright, Wu, Xu, Yoneda, Yoneda, Younossi, Younossi, Yuen, Zaman, Zarski, Zarski, Zhang, Zhang, Zhang, Zhu, Zhu, Ziol +503 morecore +2 more sources
