A case-mix classification system for explaining healthcare costs using administrative data in Italy.

[1]  G. Rigon,et al.  Epidemiological trends and direct costs of diabetes in a Northern Italy area: 2012 health administrative records analysis LHT n. 20 Verona. , 2017, Primary care diabetes.

[2]  G. Trifirò,et al.  Development and Validation of a Score for Adjusting Health Care Costs in General Practice. , 2015, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[3]  Marco Zoli,et al.  Aging and Multimorbidity: New Tasks, Priorities, and Frontiers for Integrated Gerontological and Clinical Research. , 2015, Journal of the American Medical Directors Association.

[4]  Walter P Wodchis,et al.  The increasing burden and complexity of multimorbidity , 2015, BMC Public Health.

[5]  Graziano Onder,et al.  Multimorbidity in risk stratification tools to predict negative outcomes in adult population. , 2015, European journal of internal medicine.

[6]  H. Seow,et al.  Developing a dashboard to help measure and achieve the triple aim: a population-based cohort study , 2014, BMC Health Services Research.

[7]  J. Cramm,et al.  Changes in costs and effects after the implementation of disease management programs in the Netherlands: variability and determinants , 2014, Cost Effectiveness and Resource Allocation.

[8]  David Blumenthal,et al.  The impact of health information technology and e-health on the future demand for physician services. , 2013, Health affairs.

[9]  Martijn J Schuemie,et al.  Chronic disease prevalence from Italian administrative databases in the VALORE project: a validation through comparison of population estimates with general practice databases and national survey , 2013, BMC Public Health.

[10]  E. Nolte,et al.  APPROACHES TO CHRONIC DISEASE MANAGEMENT EVALUATION IN USE IN EUROPE: A REVIEW OF CURRENT METHODS AND PERFORMANCE MEASURES , 2012, International Journal of Technology Assessment in Health Care.

[11]  S. Wyke,et al.  Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study , 2012, The Lancet.

[12]  C. Salisbury,et al.  Measures of Multimorbidity and Morbidity Burden for Use in Primary Care and Community Settings: A Systematic Review and Guide , 2012, The Annals of Family Medicine.

[13]  Barbara Starfield,et al.  Multimorbidity and its measurement. , 2011, Health policy.

[14]  R. Balicer,et al.  Assessing socioeconomic health care utilization inequity in Israel: impact of alternative approaches to morbidity adjustment , 2011, BMC public health.

[15]  M. Lai,et al.  Open Access Research Article Comparison of Rx-defined Morbidity Groups and Diagnosis-based Risk Adjusters for Predicting Healthcare Costs in Taiwan , 2022 .

[16]  A. Halling,et al.  Validation of ACG Case-mix for equitable resource allocation in Swedish primary health care , 2009, BMC public health.

[17]  A. Sicras-Mainar,et al.  The relationship between effectiveness and costs measured by a risk-adjusted case-mix system: multicentre study of Catalonian population data bases , 2009, BMC public health.

[18]  A. Sicras-Mainar,et al.  Validación retrospectiva del Johns-Hopkins ACG Case-Mix System en la población Española , 2009 .

[19]  Spyridon S Marinopoulos,et al.  The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients. , 2008, Journal of clinical epidemiology.

[20]  Wui-Chiang Lee Quantifying morbidities by Adjusted Clinical Group system for a Taiwan population: A nationwide analysis , 2008, BMC health services research.

[21]  I. Ovhed,et al.  BMC Public Health BioMed Central Research article Validating the Johns Hopkins ACG Case-Mix System of the elderly , 2006 .

[22]  B. Starfield,et al.  Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. , 2002, Archives of internal medicine.

[23]  R. Reid,et al.  Assessing population health care need using a claims-based ACG morbidity measure: a validation analysis in the Province of Manitoba. , 2002, Health services research.

[24]  N. Roos,et al.  Performance of the ACG Case-Mix System in Two Canadian Provinces , 2001, Medical care.

[25]  J. Orueta,et al.  Application of the ambulatory care groups in the primary care of a European national health care system: does it work? , 1999, Medical care.

[26]  R. Stern,et al.  The association of patients' socioeconomic characteristics with the length of hospital stay and hospital charges within diagnosis-related groups. , 1988, The New England journal of medicine.

[27]  M. Mckee,et al.  Health, health systems and economic crisis in Europe: impact and policy implications , 2013 .

[28]  A. Sicras-Mainar,et al.  [Validating the Adjusted Clinical Groups [ACG] case-mix system in a Spanish population setting: a multicenter study]. , 2009, Gaceta sanitaria.