153 research outputs found

    Development of new remediation technologies for contaminated soils based on the application of zero-valent iron nanoparticles and bioremediation with compost

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    This study aimed to develop new techniques for the remediation of contaminated soils based on the applicationof zero-valent iron nanoparticles (nZVI) and bioremediation with compost from organic wastesand a mixed technique of both. An assessment of the effectiveness of remediation in two soils contaminatedwith hydrocarbons and heavy metals was carried out, with the aim of looking for positive synergiesby combining the two techniques, and demonstrating their viability on an industrial scale. The applicationof nZVI for in situ immobilization of As and Cr in two different soils (Soil I from a contaminatedindustrial site and Soil II, contaminated artificially) showed a decrease in the concentration of As in SoilI and Soil II, as well as a decrease in Cr concentration for Soil I and Soil II in the leachate of both soils.The addition of compost and nanoparticles under uncontrolled environmental conditions in biopiles wasable to produce a decrease in the concentration of aliphatic hydrocarbons of up to 60% in the two soils.Especially, degradation and transformation of longer chains occurred. A significant reduction of ecotoxicitywas observed throughout the process in the biopile of soil II, not reaching the LC50 even with 100%of the sample after the treatment, in both earthworm and seeds growth tests

    Are 3D virtual environments better than 2D interfaces in serious games performance? An explorative study for the assessment of executive functions

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    This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Neuropsychology: Adult on 05/09/2019, available online: http://www.tandfonline.com/10.1080/23279095.2019.1607735[EN] Executive functions refer to higher-order cognitive processes that supervise and guide goaldirected and adaptive behaviors in response to everyday situations. The traditional measures used to assess executive functions include paper-and-pencil tests and/or computerized tests that have been found to have a moderate level of ecological validity in predicting real-world performance. Serious games (SG) represent a novel methodological approach, allowing investigating subjects¿ performance in real-simulated situations. Serious games are computer games whose primary purposes include investigating human behaviors and changes. Furthermore, SG can also vary according to the technology used and the interaction. Indeed, a SG can be rendered via a nonimmersive screen-based (2D) or via an immersive virtual reality game (3D). Starting from these premises, we compared a narrativecontextualized SG in 2D and 3D, correlating them with traditional tests. Findings showed different condition correlations with the traditional tasks and the comparison between the two systems have revealed that 3D is able to generate lower reaction times, higher correct answers, and lower perseverative responses in attentional abilities, inhibition control, and cognitive shifting than 2D condition. The present study yielded evidence on the use of more ecological tools to identify the functional cognitive status in real-simulated contexts along with traditional evaluation.This work was supported by the Spanish Ministry of Economy, Industry, and Competitiveness funded project Advanced Therapeutically Tools for Mental Health (DPI2016-77396-R).Chicchi-Giglioli, IA.; Juan-Ripoll, CD.; Parra Vargas, E.; Alcañiz Raya, ML. (2019). Are 3D virtual environments better than 2D interfaces in serious games performance? An explorative study for the assessment of executive functions. Applied Neuropsychology. Adult (Online). 1-10. https://doi.org/10.1080/23279095.2019.1607735S110Baddeley, A. (1981). The cognitive psychology of everyday life*. British Journal of Psychology, 72(2), 257-269. doi:10.1111/j.2044-8295.1981.tb02184.xChaytor, N., & Schmitter-Edgecombe, M. (2003). The Ecological Validity of Neuropsychological Tests: A Review of the Literature on Everyday Cognitive Skills. Neuropsychology Review, 13(4), 181-197. doi:10.1023/b:nerv.0000009483.91468.fbCHAYTOR, N., SCHMITTEREDGECOMBE, M., & BURR, R. (2006). Improving the ecological validity of executive functioning assessment. Archives of Clinical Neuropsychology, 21(3), 217-227. doi:10.1016/j.acn.2005.12.002Chelune, G. J. & Moehle, K. A. (1986). Neuropsychological assessment and everyday functioning. In D.Wedding, A.M. Horton, Jr. & J.S. Webster (Eds.), The neuropsychology handbook: Behavioral and clinical perspectives (pp. 489-525). New York, NY, US: Springer Publishing Co.Chevignard, M., Pillon, B., Pradat-Diehl, P., Taillefer, C., Rousseau, S., Le Bras, C., & Dubois, B. (2000). An Ecological Approach to Planning Dysfunction: Script Execution. Cortex, 36(5), 649-669. doi:10.1016/s0010-9452(08)70543-4Connolly, T. M., Boyle, E. A., MacArthur, E., Hainey, T., & Boyle, J. M. (2012). A systematic literature review of empirical evidence on computer games and serious games. Computers & Education, 59(2), 661-686. doi:10.1016/j.compedu.2012.03.004Díaz-Orueta, U., Garcia-López, C., Crespo-Eguílaz, N., Sánchez-Carpintero, R., Climent, G., & Narbona, J. (2013). AULA virtual reality test as an attention measure: Convergent validity with Conners’ Continuous Performance Test. Child Neuropsychology, 20(3), 328-342. doi:10.1080/09297049.2013.792332Elkind, J. S., Rubin, E., Rosenthal, S., Skoff, B., & Prather, P. (2001). A Simulated Reality Scenario Compared with the Computerized Wisconsin Card Sorting Test: An Analysis of Preliminary Results. CyberPsychology & Behavior, 4(4), 489-496. doi:10.1089/109493101750527042Fillmore, M. T., Rush, C. R., & Hays, L. (2006). Acute effects of cocaine in two models of inhibitory control: implications of non-linear dose effects. Addiction, 101(9), 1323-1332. doi:10.1111/j.1360-0443.2006.01522.xFleming, T. M., Bavin, L., Stasiak, K., Hermansson-Webb, E., Merry, S. N., Cheek, C., … Hetrick, S. (2017). Serious Games and Gamification for Mental Health: Current Status and Promising Directions. Frontiers in Psychiatry, 7. doi:10.3389/fpsyt.2016.00215Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). «Mini-mental state». Journal of Psychiatric Research, 12(3), 189-198. doi:10.1016/0022-3956(75)90026-6Fleming, T. M., Cheek, C., Merry, S. N., Thabrew, H., Bridgman, H., Stasiak, K., Shepherd, M., Perry, Y. Hetrick, S. (2014). Serious games for the treatment or prevention of depression: A systematic review.Chicchi Giglioli, I. A., de Juan Ripoll, C., Parra, E., & Alcañiz Raya, M. (2018). EXPANSE: A novel narrative serious game for the behavioral assessment of cognitive abilities. PLOS ONE, 13(11), e0206925. doi:10.1371/journal.pone.0206925Grant, D. A., & Berg, E. (1948). A behavioral analysis of degree of reinforcement and ease of shifting to new responses in a Weigl-type card-sorting problem. Journal of Experimental Psychology, 38(4), 404-411. doi:10.1037/h0059831Henry, M., Joyal, C. C., & Nolin, P. (2012). Development and initial assessment of a new paradigm for assessing cognitive and motor inhibition: The bimodal virtual-reality Stroop. Journal of Neuroscience Methods, 210(2), 125-131. doi:10.1016/j.jneumeth.2012.07.025Hughes, C. (2013). Executive function: Development, individual differences, and clinical insights. In Neural Circuit Development and Function in the Brain, 429–445.Iriarte, Y., Diaz-Orueta, U., Cueto, E., Irazustabarrena, P., Banterla, F., & Climent, G. (2012). AULA—Advanced Virtual Reality Tool for the Assessment of Attention. Journal of Attention Disorders, 20(6), 542-568. doi:10.1177/1087054712465335Lang, P. J. (2005). International affective picture system (IAPS): Affective ratings of pictures and instruction manual. Technical report.Li, J., Theng, Y.-L., & Foo, S. (2016). Effect of Exergames on Depression: A Systematic Review and Meta-Analysis. Cyberpsychology, Behavior, and Social Networking, 19(1), 34-42. doi:10.1089/cyber.2015.0366Lo Priore, C., Castelnuovo, G., Liccione, D., & Liccione, D. (2003). Experience with V-STORE: Considerations on Presence in Virtual Environments for Effective Neuropsychological Rehabilitation of Executive Functions. CyberPsychology & Behavior, 6(3), 281-287. doi:10.1089/109493103322011579Martin, M. M., & Rubin, R. B. (1995). A New Measure of Cognitive Flexibility. Psychological Reports, 76(2), 623-626. doi:10.2466/pr0.1995.76.2.623Matheis, R. J., Schultheis, M. T., Tiersky, L. A., DeLuca, J., Millis, S. R., & Rizzo, A. (2007). Is Learning and Memory Different in a Virtual Environment? The Clinical Neuropsychologist, 21(1), 146-161. doi:10.1080/13854040601100668Miller, M. A., & Fillmore, M. T. (2010). The effect of image complexity on attentional bias towards alcohol-related images in adult drinkers. Addiction, 105(5), 883-890. doi:10.1111/j.1360-0443.2009.02860.xParsey, C. M., & Schmitter-Edgecombe, M. (2013). Applications of Technology in Neuropsychological Assessment. The Clinical Neuropsychologist, 27(8), 1328-1361. doi:10.1080/13854046.2013.834971Parsons, T. D., Bowerly, T., Buckwalter, J. G., & Rizzo, A. A. (2007). A Controlled Clinical Comparison of Attention Performance in Children with ADHD in a Virtual Reality Classroom Compared to Standard Neuropsychological Methods. Child Neuropsychology, 13(4), 363-381. doi:10.1080/13825580600943473PUGNETTI, L., MENDOZZI, L., ATTREE, E. A., BARBIERI, E., BROOKS, B. M., CAZZULLO, C. L., … Psychol, C. (1998). Probing Memory and Executive Functions with Virtual Reality: Past and Present Studies. CyberPsychology & Behavior, 1(2), 151-161. doi:10.1089/cpb.1998.1.151Pugnetti, L., Mendozzi, L., Motta, A., Cattaneo, A., Barbieri, E., & Brancotti, A. (1995). Evaluation and retraining of adults’ cognitive impairments: Which role for virtual reality technology? Computers in Biology and Medicine, 25(2), 213-227. doi:10.1016/0010-4825(94)00040-wRand, D., Katz, N., & (Tamar) Weiss, P. L. (2007). Evaluation of virtual shopping in the VMall: Comparison of post-stroke participants to healthy control groups. Disability and Rehabilitation, 29(22), 1710-1719. doi:10.1080/09638280601107450Rand, D., Rukan, S. B.-A., (Tamar) Weiss, P. L., & Katz, N. (2009). Validation of the Virtual MET as an assessment tool for executive functions. Neuropsychological Rehabilitation, 19(4), 583-602. doi:10.1080/09602010802469074Reitan, R. M. (1958). Validity of the Trail Making Test as an Indicator of Organic Brain Damage. Perceptual and Motor Skills, 8(3), 271-276. doi:10.2466/pms.1958.8.3.271Renison, B., Ponsford, J., Testa, R., Richardson, B., & Brownfield, K. (2012). The Ecological and Construct Validity of a Newly Developed Measure of Executive Function: The Virtual Library Task. Journal of the International Neuropsychological Society, 18(03), 440-450. doi:10.1017/s1355617711001883Slater, M. (2009). Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3549-3557. doi:10.1098/rstb.2009.0138Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643-662. doi:10.1037/h0054651Stuss, D. T., & Alexander, M. P. (2000). Executive functions and the frontal lobes: a conceptual view. Psychological Research, 63(3-4), 289-298. doi:10.1007/s00426990000

    The evaluation as a tool for training of learning through the remote laboratories

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    [EN] The article provides information about the evaluation process that were conducted during the design of the RIPLECS instructional approach, system remote labs, evaluation methodologies and lifelong learning. The research project “Remote-labs access in Internetbased Performance-centred Learning Environment for curriculum Support” present the objective of the definition and development of an infrastructure based on European telematics for the organization of curriculum through practice based on remote laboratories (RIPLECS). The objective of this paper is to test the learning outcomes related to training within virtual remote laboratories in the area of electronics, electrical engineering and control. Different methods for data collection were used: questionnaires, interviews, peer reviews and achievement tests. Through direct and indirect assessment has shown that RIPLECS, remote labs in virtual courses system improved the learning experience of students. Students acquire new knowledge and skills that increase their chances on the labor market. Through evaluation we showed that it is easy to use, easy to learn how to use it and facilitating a task. A gap was identified between expectations of the students before and their experiences after working with the new approach by innovative emerging technologies applied to learning[ES] El presente artículo proporciona información sobre el proceso de evaluación como instrumento de formación dentro del proyecto RIPLECS basado en sistemas de laboratorios remotos, metodologías de evaluación y aprendizaje permanente. El proyecto de investigación “Remote-labs access in Internet-based Performance-centred Learning Environment for currículum Support” tiene como objetivo la definición y desarrollo de una infraestructura basada en la telemática europea para la organización de los currículums a través de la práctica basada en laboratorios remotos (RIPLECS).El objetivo de este artículo es mostrar la evaluación como instrumento de mejora para la formación a través del control de distintos indicadores que inducen en los resultados de aprendizaje relacionados con la formación en laboratorios remotos en el área de ingeniería electrónica, eléctrica y control. Se utilizaron diferentes métodos para la recopilación de datos: cuestionarios, entrevistas, revisión de pares y pruebas de rendimiento.A través de la evaluación directa e indirecta se ha demostrado que el sistema RIPLECS, laboratorios remotos en los cursos virtuales mejoró la experiencia de aprendizaje de los estudiantes. Los estudiantes adquirieron nuevos conocimientos y habilidades que aumentarían sus posibilidades en el mercado laboral. A través de la evaluación se demostró que este sistema es fácil de usar, aprender y facilita la tarea. Se identificaron altas expectativas de los estudiantes con los laboratorios remotos mediante tecnologías emergentes innovadoras aplicadas al aprendizajeAlbert Gómez, MJ.; García Pérez Calabuig, M.; Díaz Orueta, G. (2016). La evaluación como instrumento de formación para el aprendizaje a través de los laboratorios remotos. REDU. Revista de Docencia Universitaria. 14(1):377-406. doi:10.4995/redu.2016.5788.SWORD37740614

    Development of new remediation technologies for contaminated soils based on the application of zero-valent iron nanoparticles and bioremediation with compost

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    This study aimed to develop new techniques for the remediation of contaminated soils based on the application of zero-valent iron nanoparticles (nZVI) and bioremediation with compost from organic wastes and a mixed technique of both. An assessment of the effectiveness of remediation in two soils contaminated with hydrocarbons and heavy metals was carried out, with the aim of looking for positive synergies by combining the two techniques, and demonstrating their viability on an industrial scale. The application of nZVI for in situ immobilization of As and Cr in two different soils (Soil I from a contaminated industrial site and Soil II, contaminated artificially) showed a decrease in the concentration of As in Soil I and Soil II, as well as a decrease in Cr concentration for Soil I and Soil II in the leachate of both soils. The addition of compost and nanoparticles under uncontrolled environmental conditions in biopiles was able to produce a decrease in the concentration of aliphatic hydrocarbons of up to 60% in the two soils. Especially, degradation and transformation of longer chains occurred. A significant reduction of ecotoxicity was observed throughout the process in the biopile of soil II, not reaching the LC50 even with 100% of the sample after the treatment, in both earthworm and seeds growth tests. [All rights reserved Elsevier]

    Aplicación de índices de vegetación para evaluar la falta de producción de pastos y montaneras en dehesas.

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    El ganado porcino ibérico aprovecha los recursos naturales de la dehesa mediante montanera, principalmente la bellota y los pastos existentes. La línea 133 de los seguros agrarios españoles recoge el seguro de compensación por pérdida de pastos, solo para bovino reproductor y de lidia, ovino, caprino y equino, no incluyen los cerdos en montanera. Emplea un Índice de Vegetación de la Diferencia Normalizada (NDVI) medido por satélite sobre pastos desarbolados. El objetivo es comprobar si se puede utilizar un índice de vegetación para estimar la producción de pasto y bellota. Se han tomado datos del aforo de montaneras desde 1999 al 2005, y del pasto en dehesas de Salamanca (Vitigudino), Cáceres (Trujillo) y Córdoba (Pozoblanco) durante 2010 al 2012. Con los datos de 2010 y 2011 se estableció una función de producción del pasto fresco en función del NDVI, mostrando un coeficiente de correlación de 0,975, altamente significativa. Los datos obtenidos en 2012 se utilizaron para validar la función de producción de pasto fresco. La comparación entre los valores observados y simulados para 2012 ha mostrado un coeficiente de correlación de 0,734. Como conclusión, el NDVI puede ser un buen estimador de la cantidad de pasto fresco en dehesas españolas

    Characterization of soil erosion indicators using hyperspectral data from a Mediterranean rainfed cultivated region

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    The determination of surface soil properties is an important application of remotely sensed hyperspectral imagery. Moreover, different soil properties can be associated with erosion processes, with significant implications for land management and agricultural uses. This study integrates hyperspectral data supported by morphological and physico-chemical ground data to identify and map soil properties that can be used to assess soil erosion and accumulation. These properties characterize different soil horizons that emerge at the surface as a consequence of the intensity of the erosion processes, or the result of accumulation conditions. This study includes: 1) field and laboratory characterization of the main soil types in the study area; 2) identification and definition of indicators of soil erosion and accumulation stages (SEAS); 3) compilation of the site-specific MEDiterranean Soil Erosion Stages (MEDSES) spectral library of soil surface characteristics using field spectroscopy; 4) using hyperspectral airborne data to determine a set of endmembers for different SEAS and introducing these into the support vector machine (SVM) classifier to obtain their spatial distribution; and 5) evaluation of the accuracy of the classification applying a field validation protocol. The study region is located within an agricultural region in Central Spain, representative of Mediterranean agricultural uses dominated by a gently sloping relief, and characterized by soils with contrasting horizons. Results show that the proposed method is successful in mapping different SEAS that indicate preservation, partial loss, or complete loss of fertile soils, as well as down-slope accumulation of different soil materials

    Model design to predict forest fire risk in Navarra (Spain) using time series analysis

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    Understand and predict how forest fire potential changes over time are essential for prioritizing forest management activities and reducing damage. Nowadays we lack the capacity to predict future forest fire trends in response to climate change. The main goal of this research is to build an empirical model to describe, estimate and forecast the forest fires dynamics using the improved Fire Potential Index (FPI) (Huesca et al., 2007) as indicator of fire

    Floral temperature and optimal foraging: is heat a feasible floral reward for pollinators?

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    As well as nutritional rewards, some plants also reward ectothermic pollinators with warmth. Bumble bees have some control over their temperature, but have been shown to forage at warmer flowers when given a choice, suggesting that there is some advantage to them of foraging at warm flowers (such as reducing the energy required to raise their body to flight temperature before leaving the flower). We describe a model that considers how a heat reward affects the foraging behaviour in a thermogenic central-place forager (such as a bumble bee). We show that although the pollinator should spend a longer time on individual flowers if they are warm, the increase in total visit time is likely to be small. The pollinator's net rate of energy gain will be increased by landing on warmer flowers. Therefore, if a plant provides a heat reward, it could reduce the amount of nectar it produces, whilst still providing its pollinator with the same net rate of gain. We suggest how heat rewards may link with plant life history strategies

    Ornamental plants and the production of nature(s) in the Spanish real estate boom and bust: the case of Alicante

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    The Spanish real estate boom and bust of the 2000s caused immense economic, social, and environmental changes across the country. Massive urbanization, however, does not necessarily entail the end of nature and natural processes, instead marking a radical transformation of environments and societies. Through a political ecology approach, we analyze how ornamental species have become a fundamental part of new natures induced by urbanization in the Spanish province of Alicante. We connect the economic and ecological characteristics of ornamental plants like the palm tree to urbanization and real estate trends in Alicante. Our evidence indicates that, in Alicante, economic recession and environmental crises (manifested in the pests affecting palm trees) have mutually reinforced one other, creating a new geography of ecological desolation in many areas.Financial support for this research was provided by the Spanish CICYT under grants [grant number CSO2009-12772-03-01], [grant number CSO2009-12772-03-03]

    Measurement of health-related quality by multimorbidity groups in primary health care

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    [EN] Background: Increased life expectancy in Western societies does not necessarily mean better quality of life. To improve resources management, management systems have been set up in health systems to stratify patients according to morbidity, such as Clinical Risk Groups (CRG). The main objective of this study was to evaluate the effect of multimorbidity on health-related quality of life (HRQL) in primary care. Methods: An observational cross-sectional study, based on a representative random sample (n = 306) of adults from a health district (N = 32,667) in east Spain (Valencian Community), was conducted in 2013. Multimorbidity was measured by stratifying the population with the CRG system into nine mean health statuses (MHS). HRQL was assessed by EQ-5D dimensions and the EQ Visual Analogue Scale (EQ VAS). The effect of the CRG system, age and gender on the utility value and VAS was analysed by multiple linear regression. A predictive analysis was run by binary logistic regression with all the sample groups classified according to the CRG system into the five HRQL dimensions by taking the ¿healthy¿ group as a reference. Multivariate logistic regression studied the joint influence of the nine CRG system MHS, age and gender on the five EQ-5D dimensions. Results: Of the 306 subjects, 165 were female (mean age of 53). The most affected dimension was pain/discomfort (53%), followed by anxiety/depression (42%). The EQ-5D utility value and EQ VAS progressively lowered for the MHS with higher morbidity, except for MHS 6, more affected in the five dimensions, save self-care, which exceeded MHS 7 patients who were older, and MHS 8 and 9 patients, whose condition was more serious. The CRG system alone was the variable that best explained health problems in HRQL with 17%, which rose to 21% when associated with female gender. Age explained only 4%. Conclusions: This work demonstrates that the multimorbidity groups obtained by the CRG classification system can be used as an overall indicator of HRQL. These utility values can be employed for health policy decisions based on cost-effectiveness to estimate incremental quality-adjusted life years (QALY) with routinely e-health data. Patients under 65 years with multimorbidity perceived worse HRQL than older patients or disease severity. Knowledge of multimorbidity with a stronger impact can help primary healthcare doctors to pay attention to these population groups.The authors would like to thank the Conselleria de Sanitat Universal i Sanitat Pública of the Generalitat Valenciana (the Regional Valencian Health Government) for providing the study data. We would also like to thank Helen Warbuton for editing the English.Milá-Perseguer, M.; Guadalajara Olmeda, MN.; Vivas-Consuelo, D.; Usó-Talamantes, R. (2019). Measurement of health-related quality by multimorbidity groups in primary health care. Health and Quality of Life Outcomes. 17(8):1-10. https://doi.org/10.1186/s12955-018-1063-zS110178Ministerio de Sanidad SS, Igualdad e. Indicadores de Salud 2013. Evolución de los indicadores del estado de salud en España y su magnitud en el contexto de la Unión Europea. Madrid: Ministerio de Sanidad, Servicios Sociales e Igualdad; 2014.OECD/EU: Health at a Glance: Europe 2016 – State of Health in the EU Cycle, OECD Publishing, Paris. In.; 2016.WHO: Disability and health. In. Edited by WHO; 2017.Nicholson K, Makovski TT, Griffith LE, Raina P, Stranges S, van den Akker M. Multimorbidity and comorbidity revisited: refining the concepts for international health research. J Clin Epidemiol. 2018.Palmer K, Marengoni A, Forjaz MJ, Jureviciene E, Laatikainen T, Mammarella F, Muth C, Navickas R, Prados-Torres A, Rijken M, et al. Multimorbidity care model: recommendations from the consensus meeting of the joint action on chronic diseases and promoting healthy ageing across the life cycle (JA-CHRODIS). Health Policy. 2018;122(1):4–11.WHO: Innovative Care for Chronic Conditions. Building blocks for action. In.: WHO; 2014.Fortin M, Bravo G, Hudon C, Vanasse A, Lapointe L. Prevalence of multimorbidity among adults seen in family practice. Ann Fam Med. 2005;3(3):223–8.Inoriza JM, Coderch J, Carreras M, Vall-Llosera L, Garcia-Goni M, Lisbona JM, Ibern P. Measurement of morbidity attended in an integrated health care organization. Gac Sanit. 2009;23(1):29–37.Hunger M, Thorand B, Schunk M, Döring A, Menn P, Peters A, Holle R. Multimorbidity and health-related quality of life in the older population: results from the German KORA-age study. Health Qual Life Outcomes. 2011;9:53.de Miguel P, Caballero I, Rivas FJ, Manera J, de Vicente MA, Gómez Á. Morbidity observed in a health area: impact on professionals and funding. Aten Primaria. 2015;47(5):301–7.Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health. 2012;12:201.Orueta JF, García-Álvarez A, García-Goñi M, Paolucci F, Nuño-Solinís R. Prevalence and costs of multimorbidity by deprivation levels in the Basque Country: a population based study using health administrative databases. PLoS One. 2014;9(2):e89787.Mujica-Mota RE, Roberts M, Abel G, Elliott M, Lyratzopoulos G, Roland M, Campbell J. Common patterns of morbidity and multi-morbidity and their impact on health-related quality of life: evidence from a national survey. Qual Life Res. 2015;24(4):909–18.Caballer Tarazona V, Guadalajara Olmeda N, Vivas Consuelo D, Clemente Collado A. Impact of morbidity on health care costs of a Department of Health through clinical risk groups. Valencian Community, Spain. Rev Esp Salud Publica. 2016;90:e1–e15.Calderon-Larranaga A, Abrams C, Poblador-Plou B, Weiner JP, Prados-Torres A. Applying diagnosis and pharmacy-based risk models to predict pharmacy use in Aragon, Spain: the impact of a local calibration. BMC Health Serv Res. 2010;10:22.Hughes JS, Averill RF, Eisenhandler J, Goldfield NI, Muldoon J, Neff JM, Gay JC. Clinical risk groups (CRGs): a classification system for risk-adjusted capitation-based payment and health care management. Med Care. 2004;42(1):81–90.Vivas-Consuelo D, Uso-Talamantes R, Trillo-Mata JL, Caballer-Tarazona M, Barrachina-Martinez I, Buigues-Pastor L. Predictability of pharmaceutical spending in primary health services using clinical risk groups. Health Policy. 2014;116(2–3):188–95.Milla Perseguer M, Guadalajara Olmeda N, Vivas Consuelo D. Impact of cardiovascular risk factors on the consumption of resources in primary care according to clinical risk groups. Aten Primaria. 2018.WHOQOL. The World Health Organization quality of life assessment (WHOQOL): development and general psychometric properties. Soc Sci Med. 1998;46(12):1569–85.Badia X, Carne X. The evaluation of quality of life in clinical trials. Medicina Clinica. 1998;110(14):550–6.Revicki DA. Health-related quality of life in the evaluation of medical therapy for chronic illness. J Fam Pract. 1989;29(4):377–80.Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Health-related quality of life and healthcare utilization in multimorbidity: results of a cross-sectional survey. Qual Life Res. 2013;22(4):791–9.Romero M, Vivas-Consuelo D, Alvis-Guzman N. Is health related quality of life (HRQoL) a valid indicator for health systems evaluation? Springerplus. 2013;2:664.Hanmer J, Feeny D, Fischhoff B, Hays RD, Hess R, Pilkonis PA, Revicki DA, Roberts MS, Tsevat J, Yu L. The PROMIS of QALYs. Health Qual Life Outcomes. 2015;13.Herdman M, Badia X, Berra S. EuroQol-5D: a simple alternative for measuring health-related quality of life in primary care. Atencion primaria / Sociedad Espanola de Medicina de Familia y Comunitaria. 2001;28(6):425–30.EuroQol G. EuroQol-a new facility for the measurement of health-related quality of life. Health Policy. 1990;16(199–208).Agborsangaya CB, Lahtinen M, Cooke T, Johnson JA. Comparing the EQ-5D 3L and 5L: measurement properties and association with chronic conditions and multimorbidity in the general population. Health Qual Life Outcomes. 2014;12:7.Real Decreto Legislativo 8/2015, de 30 de octubre, por el que se aprueba el texto refundido de la Ley General de la Seguridad Social. In. «BOE» núm. 261, de 31/10/2015.: Ministerio de Empleo y Seguridad Social.; 2015.Ministry of Health and Social Policy:. Estudios sobre la calidad de vida de pacientes afectados por determinadas patologías. [ http://www.mscbs.gob.es/organizacion/sns/planCalidadSNS/ ].Ministry of Health and Social Policy: Encuesta Nacional de Salud. España 2011/12. Calidad de vida relacionada con la salud en adultos: EQ-5D-5L. Serie Informes monográficos n° 3. Madrid: Ministerio de Sanidad, Servicios Sociales e Igualdad; 2014.Fortin M, Bravo G, Hudon C, Lapointe L, Almirall J, Dubois MF, Vanasse A. Relationship between multimorbidity and health-related quality of life of patients in primary care. Qual Life Res. 2006;15(1):83–91.Fortin M, Dubois MF, Hudon C, Soubhi H, Almirall J. Multimorbidity and quality of life: a closer look. Health Qual Life Outcomes. 2007;5:52.Brazier JE, Yang Y, Tsuchiya A, Rowen DL. A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures. Eur J Health Econ. 2010;11.Peak J, Goranitis I, Day E, Copello A, Freemantle N, Frew E. Predicting health-related quality of life (EQ-5D-5 L) and capability wellbeing (ICECAP-A) in the context of opiate dependence using routine clinical outcome measures: CORE-OM, LDQ and TOP. Health Qual Life Outcomes. 2018;16(1):106.Rivero-Arias O, Ouellet M, Gray A, Wolstenholme J, Rothwell PM, Luengo-Fernandez R. Mapping the modified Rankin scale (mRS) measurement into the generic EuroQol (EQ-5D) health outcome. Med Decis Mak. 2010;30.Argimon Pallás JM, Jiménez Villa J: Métodos de investigación clínica y epidemiológica, vol. Capítulo 15. Tamaño de la muestra; 2013.Yepes-Núñez JJ, García García HI: Preferencias de estados de salud y medidas de utilidad. In., vol. 24. Iatreia; 2011: 365–377.Attema AE, Edelaar-Peeters Y, Versteegh MM, Stolk EA. Time trade-off: one methodology, different methods. Eur J Health Econ. 2013;14(Suppl 1):S53–64.Badia X, Roset M, Herdman M, Kind P. A comparison of United Kingdom and Spanish general population time trade-off values for EQ-5D health states. Med Decis Mak. 2001;21(1):7–16.Garin N, Olaya B, Moneta MV, Miret M, Lobo A, Ayuso-Mateos JL, Haro JM. Impact of multimorbidity on disability and quality of life in the Spanish older population. PLoS One. 2014;9(11):e111498.Mielck A, Vogelmann M, Leidl R. Health-related quality of life and socioeconomic status: inequalities among adults with a chronic disease. Health Qual Life Outcomes. 2014;12:58.Usó Talamantes R: Análisis y desarrollo de un modelo predictivo del gasto farmacéutico ambulatorio ajustado a morbilidad y riesgo clínico [tesis doctoral]. Universidad Politécnica de Valencia; 2015. https://www.educacion.gob.es/teseo/mostrarRef.do?ref=1183638 .Sánchez Mollá M, Candela García I, Gómez-Romero FJ, Orozco Beltrán D, Ollero Baturone M. Concordance between stratification systems and identification of patients with multiple chronic diseases in primary care. Rev Calid Asist. 2017;32(1):10–6.Vivas-Consuelo D, Uso-Talamantes R, Guadalajara-Olmeda N, Trillo-Mata J-L, Sancho-Mestre C, Buigues-Pastor L. Pharmaceutical cost management in an ambulatory setting using a risk adjustment tool. BMC Health Serv Res. 2014;14:462.Coderch J, Sánchez-Pérez I, Ibern P, Carreras M, Pérez-Berruezo X, Inoriza JM. Predicting individual risk of high healthcare cost to identify complex chronic patients. Gac Sanit. 2014;28(4):292–300.Osca Guadalajara M, Guadalajara Olmeda N, Escartín Martínez R. Impact of Teriparatide on quality of life in osteoporotic patients. Rev Esp Salud Publica. 2015;89(2):215–25.Prazeres F, Santiago L. Relationship between health-related quality of life, perceived family support and unmet health needs in adult patients with multimorbidity attending primary care in Portugal: a multicentre cross-sectional study. Health Qual Life Outcomes. 2016;14(1):156.Brettschneider C, Leicht H, Bickel H, Dahlhaus A, Fuchs A, Gensichen J, Maier W, Group MS. Relative impact of multimorbid chronic conditions on health-related quality of life--results from the MultiCare cohort study. PLoS One. 2013;8(6):e66742
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