Los grupos de morbilidad ajustados: nuevo agrupador de morbilidad poblacional de utilidad en el ámbito de la atención primaria

Huntley, 2012, Measures of multimorbidity and morbidity burden for use in primary care and community settings: A systematic review and guide, Ann Fam Med., 10, 134, 10.1370/afm.1363 Fortin, 2005, Prevalence of multimorbidity among adults seen in family practice, Ann Fam Med., 3, 223, 10.1370/afm.272 Tinetti, 2012, Designing health care for the most chronic condition — multimorbidity, JAMA., 307, 2493, 10.1001/jama.2012.5265 Barnett, 2012, Epidemiology of multimorbidity and implications for health care, research, and medical education: A cross-sectional study, Lancet., 380, 37, 10.1016/S0140-6736(12)60240-2 Salisbury, 2011, Epidemiology and impact of multimorbidity in primary care: A retrospective cohort study, Br J Gen Pract., 61, e12, 10.3399/bjgp11X548929 Wolff, 2002, Prevalence, expenditure, and complications of multiple chronic conditions in the elderly, Arch Intern Med., 162, 2269, 10.1001/archinte.162.20.2269 Valderas, 2009, Definig comorbidity: Implications for understanding health and health services, Ann Fam Med., 7, 357, 10.1370/afm.983 Mercer, 2009, Multimorbidity in primary care: Developing the research agenda, Fam Pract., 26, 79, 10.1093/fampra/cmp020 Charlson, 1987, A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation, J Chronic Dis., 40, 373, 10.1016/0021-9681(87)90171-8 Charlson, 2007, Can disease management target patients most likely to generate high costs? The impact of comorbidity, J Gen Intern Med., 22, 464, 10.1007/s11606-007-0130-7 Kaiser Permanente [consultado 25 Jul 2016]. Disponible en: http://www.kaiserpermanente.org/ R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2014 [consultado 25 Jul 2016]. Disponible en: http://www.R-project.org/ Brilleman, 2013, Comparing measures of multimorbidity to predict outcomes in primary care: A corss sectional study, Fam Pract., 30, 172, 10.1093/fampra/cms060 Hughes, 2004, Clinical risk groups (CRGs): A classification system for risk adjusted capitation-based payment and health care management, Med Care., 42, 81, 10.1097/01.mlr.0000102367.93252.70 Starfield, 1991, Ambulatory care groups: A categorization of diagnosis for research and manegement, Health Ser Res., 26, 53 Weiner, 1991, Developing and application of a population-oriented measure of ambulatory care case-mix, Med Care., 29, 452, 10.1097/00005650-199105000-00006 González González AI, Miquel Gómez AM, Rodríguez Morales D, Hernández Pascual M, Sánchez Perruca L, Mediavilla Herrera I. Concordancia y utilidad de un sistema de estratificación para la toma de decisiones clínicas. Aten Primaria. 2016 (en prensa)