Measuring population health using health expectancy estimates from morbidity and mortality databases.

The progressive incorporation of quality of life indicators in health planning meets a critical need: The evaluation of the performance of health services, which are under stress by multiple causes, but in particular by an ageing population. In general, national health plans rely on health expectancies obtained using the Sullivan method. The Sullivan health expectancy index combines age-specific mortality rates and age-specific prevalence of healthy life, obtained from health surveys. The objective of this work is to investigate an equivalent estimation, using available information from morbidity and mortality datasets. Mortality and morbidity information, corresponding to years 2016 and 2017, was obtained for the population of the county of Baix Empordà (Catalonia), N = 91,130. Anonymized individual information on diagnoses, procedures and pharmacy consumption contained in the individual clinical record (ICD and ATC codes), were classified into health states. Based on the observed health transitions and mortality, life expectancies by health state were obtained from a multistate microsimulation model. Healthy life expectancies at birth and 65 years for females and males were respectively HLE0female = 39.94, HLE0male = 42.87, HLE65female = 2.43, HLE65male = 2.17. These results differed considerably from the Sullivan equivalents, e.g., 8.25 years less for HLE65female, 9.26 less for HLE65male. Point estimates for global life expectancies at birth and 65 years of age: LE0female = 85.82, LE0male = 80.58, LE65female = 22.31, LE65male = 18.86. Health indicators can be efficiently obtained from multistate models based on mortality and morbidity information, without the use of health surveys. This alternative method could be used for monitoring populations in the context of health planning. Life Expectancy results were consistent with the standard government reports. Due to the different approximation to the concept of health (data-based versus self-perception), healthy life expectancies obtained from multistate micro simulation are consistently lower than those calculated with the standard Sullivan method.

A 14-Year Longitudinal Analysis of Healthcare Expenditure on Dementia and Related Factors (DEMENCOST Study).

BACKGROUND: The large number of dementia cases produces a great pressure on health and social care services, which requires efficient planning to meet the needs of patients through infrastructure, equipment, and financial, technical, and personal resources adjusted to their demands. Dementia analysis requires studies with a very precise patient characterization of both the disease and comorbidities present, and long-term follow-up of patients in clinical aspects and patterns of resource utilization and costs generated. OBJECTIVE: To describe and quantify direct healthcare expenditure and its evolution from three years before and up to ten years after the diagnosis of dementia, compared to a matched group without dementia. METHODS: Retrospective cohort design with follow-up from 6 to 14 years. We studied 996 people with dementia (PwD) and 2,998 controls matched for age, sex, and comorbidity. This paper adopts the provider's perspective as the perspective of analysis and refers to the costs actually incurred in providing the services. Aggregate costs and components per patient per year were calculated and modelled. RESULTS: Total health expenditure increases in PwD from the year of diagnosis and in each of the following 7 years, but not thereafter. Health status and mortality are factors explaining the evolution of direct costs. Dementia alone is not a statistically significant factor in explaining differences between groups. CONCLUSION: The incremental direct cost of dementia may not be as high or as long as studies with relatively short follow-up suggest. Dementia would have an impact on increasing disease burden and mortality.

Morbilidad y estado de salud autopercibido, dos aproximaciones diferentes al estado de salud / Morbidity and self-perception of health, two different approaches to health status

OBJETIVO: Determinar el grado de asociación entre el estado de salud percibido y el obtenido a partir de información sobre morbilidad atendida. MÉTODO: Se estudió la población de cuatro áreas básicas de salud de la comarca del Baix Empordà (N=91.067), en el año 2016, con una muestra de 1202 personas a las que se realizó una encuesta de salud. Paralelamente, las personas encuestadas se clasificaron en estados de salud mediante el agrupador Clinical Risk Groups. El grado de asociación se analizó mediante regresión logística. RESULTADOS: Un 27% de las personas con más de dos enfermedades crónicas mayores o con condiciones de salud complejas afirmaron tener buena salud. Se detectó asociación entre percepción de salud y carga de enfermedad. El sexo, la situación laboral, la clase social y especialmente la edad también mostraron asociación con la percepción de salud. CONCLUSIONES: La inferencia del estado de salud a partir de registros clínicos sobre morbilidad atendida aproxima la percepción subjetiva de la salud, y viceversa. No obstante, determinados factores sociodemográficos modulan la percepción individual. Los resultados obtenidos son esperanzadores en relación con el desarrollo de nuevas metodologías de cálculo de indicadores de calidad de vida

OBJECTIVE: To determine the degree of association between perceived health status and that obtained from information on attended morbidity. METHOD: The population of four health areas of the Baix Empordà region (Catalonia, Spain) (N=91,067) was studied in 2016, by means of a sample of 1202 individuals. A health survey was conducted on sample individuals. At the same time, the respondents were classified by health status through the Clinical Risk Groups system. The degree of association was analysed by logistic regression. RESULTS: 27% of patients with more than two major chronic diseases or with complex health conditions stated they were in good health. An association was detected between health perception and disease burden. Sex, work situation, social class and especially age also showed association with the perception of health. CONCLUSIONS: The inference of health status from clinical records on attended morbidity approximates to the subjective perception of health and vice versa. However, certain sociodemographic factors modulate individual perception. The results obtained are encouraging in relation to the development of new methodologies for calculating quality of life indicators

[Morbidity and self-perception of health, two different approaches to health status]. / Morbilidad y estado de salud autopercibido, dos aproximaciones diferentes al estado de salud.

OBJECTIVE: To determine the degree of association between perceived health status and that obtained from information on attended morbidity. METHOD: The population of four health areas of the Baix Empordà region (Catalonia, Spain) (N=91,067) was studied in 2016, by means of a sample of 1202 individuals. A health survey was conducted on sample individuals. At the same time, the respondents were classified by health status through the Clinical Risk Groups system. The degree of association was analysed by logistic regression. RESULTS: 27% of patients with more than two major chronic diseases or with complex health conditions stated they were in good health. An association was detected between health perception and disease burden. Sex, work situation, social class and especially age also showed association with the perception of health. CONCLUSIONS: The inference of health status from clinical records on attended morbidity approximates to the subjective perception of health and vice versa. However, certain sociodemographic factors modulate individual perception. The results obtained are encouraging in relation to the development of new methodologies for calculating quality of life indicators.

Two-Dimensional Frontier-Based Viewpoint Generation for Exploring and Mapping Underwater Environments.

To autonomously explore complex underwater environments, it is convenient to develop motion planning strategies that do not depend on prior information. In this publication, we present a robotic exploration algorithm for autonomous underwater vehicles (AUVs) that is able to guide the robot so that it explores an unknown 2-dimensional (2D) environment. The algorithm is built upon view planning (VP) and frontier-based (FB) strategies. Traditional robotic exploration algorithms seek full coverage of the scene with data from only one sensor. If data coverage is required for multiple sensors, multiple exploration missions are required. Our approach has been designed to sense the environment achieving full coverage with data from two sensors in a single exploration mission: occupancy data from the profiling sonar, from which the shape of the environment is perceived, and optical data from the camera, to capture the details of the environment. This saves time and mission costs. The algorithm has been designed to be computationally efficient, so that it can run online in the AUV's onboard computer. In our approach, the environment is represented using a labeled quadtree occupancy map which, at the same time, is used to generate the viewpoints that guide the exploration. We have tested the algorithm in different environments through numerous experiments, which include sea operations using the Sparus II AUV and its sensor suite.

Ageing and healthcare expenditures: Exploring the role of individual health status.

In 1999, Zweifel, Felder, and Meiers questioned conventional wisdom on ageing and healthcare expenditure (HCE). According to these authors, the positive association between age and HCE is due to an increasing age-specific mortality and the high cost of dying. After a weighty academic debate, a new consensus was reached on the importance of proximity to death when analysing HCE. Nevertheless, the influence of individual health status remains unknown. The objective of our study is to analyse the influence individual health status has on HCE, when compared to proximity to death and demographic effects and considering a comprehensive view of healthcare services and costs. We examined data concerning different HCE components of N = 61,473 persons aged 30 to 95 years old. Using 2-part models, we analysed the probability of use and positive HCE. Regardless of the specific group of healthcare services, HCE at the end of life depends mainly on the individual health status. Proximity to death approximates individual morbidity when it is excluded from the model. The inclusion of morbidity generally improves the goodness of fit. These results provide implications for the analysis of ageing population and its impact on HCE that should be taken into account.

Evaluación de la efectividad de un programa de atención integrada y proactiva a pacientes crónicos complejos / Assessment of the effectiveness of a proactive and integrated healthcare programme for chronic complex patients

Objetivo: Evaluar la efectividad de un programa de atención integrada y proactiva para adecuar el uso de recursos sanitarios en pacientes crónicos complejos con riesgo de alto consumo según un modelo predictivo basado en morbilidad y utilización previa. Métodos: Ensayo clínico controlado aleatorizado con grupo control enmascarado, grupo de intervención parcial informado en la historia clínica y grupo de intervención total informado además a atención primaria, en una organización sanitaria integrada con 128.281 residentes en 2011. Variables dependientes: visitas de atención primaria, urgencias hospitalarias, hospitalización, coste farmacéutico y muerte. Variables independientes: grupo de intervención, edad, sexo, área básica, morbilidad (según grupo de riesgo clínico) y recurrencia como paciente crónico complejo. Análisis bivariado con ANOVA y t de Student, y multivariado mediante regresión logística y regresión lineal múltiple, con un nivel de confianza del 95%. Resultados: Se incluyeron 4.236 y 4.223 pacientes crónicos complejos en el primer y el segundo año de intervención, respectivamente. El 72% eran recurrentes. Edad media: 73,2 años. El 54,2% eran mujeres. Más del 70% tenían al menos dos enfermedades crónicas. El número de visitas a atención primaria fue significativamente mayor en el grupo de intervención total respecto al grupo de intervención parcial y el grupo control. La intervención solo tuvo un efecto significativo independiente en las estancias hospitalarias, que fueron menos en el grupo de intervención parcial. Este efecto diferencial se dio en el primer año y en los pacientes crónicos complejos nuevos del segundo año. Los indicadores asistenciales generales de la organización sanitaria integrada eran buenos, antes y durante la intervención. Conclusiones: Una buena situación general previa y mantenida, y una inevitable contaminación entre grupos, dificultaron la demostración de efectividad marginal del programa (AU)

Objective: To assess the effectiveness of a proactive and integrated care programme to adjust the use of health resources by chronic complex patients (CCP) identified as potential high consumers according to a predictive model based on prior use and morbidity. Methods: Randomized controlled clinical trial with three parallel groups of CCP: a blinded control group (GC), usual care; a partial intervention group (GIP) reported in the EMR; a total intervention group (GIT), also reported to primary care (PC). Conducted in an integrated health care organization (IHCO), N=128,281 individuals in 2011. Dependent variables: PC visits, emergency attention, hospitalizations, pharmaceutical cost and death. Independent variables: intervention group, age, sex, area of residence, morbidity (by clinical risk group) and recurrence as CCP. Statistical analysis: ANOVA, student's t test; logistic and multiple linear regressions at the 95% confidence level. Results: 4,236 CCP included for the first intervention year and 4,223 for the second; recurrence as CCP 72%. Mean age 73.2 years, 54.2% women and over 70% with 2 or more chronic diseases. The number of PC visits was significantly higher for GIT than for GIP and GC. The hospital stays were significantly lower in GIP. This effect was observed in the first year and in the second year only in the new CCP. The general indicators of the IHCO were good, before and during the intervention. Conclusions: A high standard of quality, previous and during the study, and the inevitable contamination between groups, hindered the assessment of the marginal effectiveness of the program (AU)

[Assessment of the effectiveness of a proactive and integrated healthcare programme for chronic complex patients]. / Evaluación de la efectividad de un programa de atención integrada y proactiva a pacientes crónicos complejos.

OBJECTIVE: To assess the effectiveness of a proactive and integrated care programme to adjust the use of health resources by chronic complex patients (CCP) identified as potential high consumers according to a predictive model based on prior use and morbidity. METHODS: Randomized controlled clinical trial with three parallel groups of CCP: a blinded control group (GC), usual care; a partial intervention group (GIP) reported in the EMR; a total intervention group (GIT), also reported to primary care (PC). Conducted in an integrated health care organization (IHCO), N=128,281 individuals in 2011. Dependent variables: PC visits, emergency attention, hospitalizations, pharmaceutical cost and death. INDEPENDENT VARIABLES: intervention group, age, sex, area of residence, morbidity (by clinical risk group) and recurrence as CCP. STATISTICAL ANALYSIS: ANOVA, student's t test; logistic and multiple linear regressions at the 95% confidence level. RESULTS: 4,236 CCP included for the first intervention year and 4,223 for the second; recurrence as CCP 72%. Mean age 73.2 years, 54.2% women and over 70% with 2 or more chronic diseases. The number of PC visits was significantly higher for GIT than for GIP and GC. The hospital stays were significantly lower in GIP. This effect was observed in the first year and in the second year only in the new CCP. The general indicators of the IHCO were good, before and during the intervention. CONCLUSIONS: A high standard of quality, previous and during the study, and the inevitable contamination between groups, hindered the assessment of the marginal effectiveness of the program.

Hospital Costs of Foreign Non-Resident Patients: A Comparative Analysis in Catalonia, Spain.

Although patient mobility has increased over the world, in Europe there is a lack of empirical studies. The aim of the study was to compare foreign non-resident patients versus domestic patients for the particular Catalan case, focusing on patient characteristics, hospitalisation costs and differences in costs depending on the typology of the hospital they are treated. We used data from the 2012 Minimum Basic Data Set-Acute Care hospitals (CMBD-HA) in Catalonia. We matched two case-control groups: first, foreign non-resident patients versus domestic patients and, second, foreign non-resident patients treated by Regional Public Hospitals versus other type of hospitals. Hospitalisation costs were modelled using a GLM Gamma with a log-link. Our results show that foreign non-resident patients were significantly less costly than domestic patients (12% cheaper). Our findings also suggested differences in the characteristics of foreign non-resident patients using Regional Public Hospitals or other kinds of hospitals although we did not observe significant differences in the healthcare costs. Nevertheless, women, 15-24 and 35-44 years old patients and the days of stay were less costly in Regional Public Hospitals. In general, acute hospitalizations of foreign non-resident patients while they are on holiday cost substantially less than domestic patients. The typology of hospital is not found to be a relevant factor influencing costs.

¿Son los grupos de morbilidad ajustados concordantes con el criterio clínico de intervención en una estrategia de crónicos? / Are adjusted morbidity groups concordant with the clinical judgment of intervention in a chronic strategy?

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Autonomous Underwater Navigation and Optical Mapping in Unknown Natural Environments.

We present an approach for navigating in unknown environments while, simultaneously, gathering information for inspecting underwater structures using an autonomous underwater vehicle (AUV). To accomplish this, we first use our pipeline for mapping and planning collision-free paths online, which endows an AUV with the capability to autonomously acquire optical data in close proximity. With that information, we then propose a reconstruction pipeline to create a photo-realistic textured 3D model of the inspected area. These 3D models are also of particular interest to other fields of study in marine sciences, since they can serve as base maps for environmental monitoring, thus allowing change detection of biological communities and their environment over time. Finally, we evaluate our approach using the Sparus II, a torpedo-shaped AUV, conducting inspection missions in a challenging, real-world and natural scenario.

Analysing the Costs of Integrated Care: A Case on Model Selection for Chronic Care Purposes.

BACKGROUND: The objective of this study is to investigate whether the algorithm proposed by Manning and Mullahy, a consolidated health economics procedure, can also be used to estimate individual costs for different groups of healthcare services in the context of integrated care. METHODS: A cross-sectional study focused on the population of the Baix Empordà (Catalonia-Spain) for the year 2012 (N = 92,498 individuals). A set of individual cost models as a function of sex, age and morbidity burden were adjusted and individual healthcare costs were calculated using a retrospective full-costing system. The individual morbidity burden was inferred using the Clinical Risk Groups (CRG) patient classification system. RESULTS: Depending on the characteristics of the data, and according to the algorithm criteria, the choice of model was a linear model on the log of costs or a generalized linear model with a log link. We checked for goodness of fit, accuracy, linear structure and heteroscedasticity for the models obtained. CONCLUSION: The proposed algorithm identified a set of suitable cost models for the distinct groups of services integrated care entails. The individual morbidity burden was found to be indispensable when allocating appropriate resources to targeted individuals.

Morbilidad y costes sanitarios: hacia un benchmarking? / Morbidity and healthcare costs: towards a benchmarking?

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Acute kidney injury secondary to a combination of renin-angiotensin system inhibitors, diuretics and NSAIDS: "The Triple Whammy".

BACKGROUND: Renin-angiotensin system inhibitors (ACEI/ARB-II), diuretics and NSAIDs, a combination known as "Triple Whammy", can result in decreased glomerular filtration rate (GFR) and acute kidney injury (AKI). Objectives: To describe the incidence of AKI for each drug type and their combinations. To define the profile of patients admitted for drug-related AKI secondary to Triple Whammy drugs (AKITW), with an assessment of costs and mortality. METHODS: A retrospective observational 15-month study developed in three stages: - First: a cross-sectional stage to identify and describe hospitalizations due to AKITW. - Second: a follow-up stage of an outpatient cohort consuming these drugs (15,307 subjects). - Third: a cohort stage to assess costs and mortality, which compared 62 hospitalized patients with AKITW and 62 without AKI, paired by medical specialty, sex, age and comorbidity according to their Clinical Risk Groups. RESULTS: There were 85 hospitalization episodes due to AKITW, and 78% of patients were over the age of 70. The incidence of AKITW in the population was 3.40 cases/1000 users/year (95% CI: 2.59-4.45). By categories, these were: NSAIDs + diuretics 8.99 (95% CI: 3.16-25.3); Triple Whammy 8.82 (95% CI: 4.4-17.3); ACEI/ARB-II + diuretics 6.87 (95% CI: 4.81-9.82); and monotherapy with diuretics 3.31 (95% CI: 1.39-7.85). Mean hospital stay was 7.6 days (SD 6.4), and mean avoidable costs were estimated at €214,604/100,000 inhabitants/year. Mortality during hospitalization and at 12 months was 11.3% and 38.7% respectively, and there were no significant differences when compared with the control group. CONCLUSIONS: Treatment with ACEI, ARB-II, diuretics and/or NSAIDs shows a high incidence of hospitalization episodes due to AKI; diuretics as monotherapy or dual and triple combination therapy cause the highest incidence. AKITW involves high health care costs and avoidable mortality.

Predicción del riesgo individual de alto coste sanitario para la identificación de pacientes crónicos complejos / Predicting individual risk of high healthcare cost to identify complex chronic patients

Objetivo: Construir y validar un modelo predictivo del riesgo de consumo de recursos sanitarios elevado, y evaluar su capacidad para identificar pacientes crónicos complejos. Métodos: Estudio transversal realizado en una organización sanitaria integrada sobre datos individuales de residentes 2 años consecutivos (88.795 personas). Variable dependiente: coste sanitario real superior al percentil 95 (P95), incluyendo todos los servicios de la organización sanitaria integrada y las recetas de farmacia. Variables predictoras: edad, sexo, morbilidad (según los clinical risk groups [CRG]) y datos seleccionados de utilización previa (uso de hospitalización, uso de medicación hospitalaria ambulatoria, gasto en recetas de farmacia). Análisis univariado descriptivo. Construcción de un modelo de regresión logística con nivel de confianza del 95%; análisis de validez mediante sensibilidad, especificidad, valor predictivo positivo (VPP) y área bajo la curva ROC (AUC). Resultados: Las personas con coste >P95 acumulan el 44% del coste sanitario total y se concentran en las categorías ACRG3 (aggregated CRG level 3) de enfermedades crónicas múltiples o graves. La carga de morbilidad aumenta con la edad. En el modelo, todas las variables fueron estadísticamente significativas excepto el sexo. Se obtuvo una sensibilidad del 48,4% (intervalo de confianza [IC]: 46,9%-49,8%), una especificidad del 97,2% (IC: 97,0%-97,3%), un VPP del 46,5% (IC: 45,0%-47,9%) y un AUC de 0,897 (IC: 0,892-0,902). Conclusiones: El consumo sanitario elevado se relaciona con la morbilidad crónica compleja. Un modelo basado en la edad, la morbilidad y la utilización previa es válido para predecir el riesgo de alto consumo, y así identificar la población diana de estrategias de atención proactiva para pacientes crónicos complejos (AU)

Objective: To develop a predictive model for the risk of high consumption of healthcare resources, and assess the ability of the model to identify complex chronic patients. Methods: A cross-sectional study was performed within a healthcare management organization by using individual data from 2 consecutive years (88,795 people). The dependent variable consisted of healthcare costs above the 95th percentile (P95), including all services provided by the organization and pharmaceutical consumption outside of the institution. The predictive variables were age, sex, morbidity-based on clinical risk groups (CRG)-and selected data from previous utilization (use of hospitalization, use of high-cost drugs in ambulatory care, pharmaceutical expenditure). A univariate descriptive analysis was performed. We constructed a logistic regression model with a 95% confidence level and analyzed sensitivity, specificity, positive predictive values (PPV), and the area under the ROC curve (AUC). Results: Individuals incurring costs >P95 accumulated 44% of total healthcare costs and were concentrated in ACRG3 (aggregated CRG level 3) categories related to multiple chronic diseases. All variables were statistically significant except for sex. The model had a sensitivity of 48.4% (CI: 46.9%-49.8%), specificity of 97.2% (CI: 97.0%-97.3%), PPV of 46.5% (CI: 45.0%-47.9%), and an AUC of 0.897 (CI: 0.892 to 0.902). Conclusions: High consumption of healthcare resources is associated with complex chronic morbidity. A model based on age, morbidity, and prior utilization is able to predict high-cost risk and identify a target population requiring proactive care (AU)

[Predicting individual risk of high healthcare cost to identify complex chronic patients]. / Predicción del riesgo individual de alto coste sanitario para la identificación de pacientes crónicos complejos.

OBJECTIVE: To develop a predictive model for the risk of high consumption of healthcare resources, and assess the ability of the model to identify complex chronic patients. METHODS: A cross-sectional study was performed within a healthcare management organization by using individual data from 2 consecutive years (88,795 people). The dependent variable consisted of healthcare costs above the 95th percentile (P95), including all services provided by the organization and pharmaceutical consumption outside of the institution. The predictive variables were age, sex, morbidity-based on clinical risk groups (CRG)-and selected data from previous utilization (use of hospitalization, use of high-cost drugs in ambulatory care, pharmaceutical expenditure). A univariate descriptive analysis was performed. We constructed a logistic regression model with a 95% confidence level and analyzed sensitivity, specificity, positive predictive values (PPV), and the area under the ROC curve (AUC). RESULTS: Individuals incurring costs >P95 accumulated 44% of total healthcare costs and were concentrated in ACRG3 (aggregated CRG level 3) categories related to multiple chronic diseases. All variables were statistically significant except for sex. The model had a sensitivity of 48.4% (CI: 46.9%-49.8%), specificity of 97.2% (CI: 97.0%-97.3%), PPV of 46.5% (CI: 45.0%-47.9%), and an AUC of 0.897 (CI: 0.892 to 0.902). CONCLUSIONS: High consumption of healthcare resources is associated with complex chronic morbidity. A model based on age, morbidity, and prior utilization is able to predict high-cost risk and identify a target population requiring proactive care.

Análisis de la población diabética de una comarca: perfil de morbilidad, utilización de recursos, complicaciones y control metabólico / An analysis of the diabetic population in a Spanish rural are: morbidity profile, use of resources, complications and metabolic control

Objetivo: Describir las características de una población diabética, perfil de morbilidad, consumo de recursos, complicaciones y grado de control. Diseño: Estudio transversal durante 2010.EmplazamientoCuatro Áreas Básicas de Salud (91.301 personas) donde la organización sanitaria integrada Serveis de Salut Integrats Baix Empordà cubre la asistencia. Participantes: Se han identificado 4.985 diabéticos, utilizando la codificación clínica de los contactos mediante CIE-9-MC y Clinical Risk Groups. Mediciones principales: Perfil de morbilidad de los diabéticos, complicaciones y grado de control metabólico. Se analiza el consumo de recursos asistenciales, farmacéutico y de tiras reactivas de glucemia. Todas las mediciones a nivel individual. Resultados: El 99,3% de los diabéticos acudió al menos una vez al centro de salud (14,9% del total de visitas). El 39,5% de las visitas de atención primaria y menos del 10% del resto de recursos analizados se dedicaron a la gestión de la diabetes. El coste de farmacia representa el 25,4% del consumo total de la población (coste medio 1.014,57?). El 36,5% de los diabéticos consumió tiras reactivas (coste medio 120,65?). Los CRG base más comunes son 5424-Diabetes (27%); 6144-Diabetes and Hypertension (25,5%) y 6143-Diabetes and Other Moderate Chronic Disease (17,2%). El grado de control de la enfermedad es mejor en pacientes que no toman fármacos o toman antidiabéticos orales no secretagogos. Conclusiones: La comorbilidad es determinante en el consumo de recursos. Solo una parte de este consumo está dedicado al manejo de la diabetes. Los resultados obtenidos son consistentes y complementan desde un punto de vista poblacional los estudios existentes de ámbito estatal y autonómico (AU)

Objective: To describe the characteristics of a diabetic population, morbidity profile, resource consumption, complications and degree of metabolic control. Design: Cross-sectional study during 2010.Location: Four Health Areas (91.301 people) where the integrated management organization Serveis de Salut integrated Baix Empordà completely provide healthcare assistance. Participants: 4.985 diabetic individuals, identified through clinical codes using the ICD-9-MC classification and the 3M? Clinical Risk Groups software. Main measurements: Morbidity profile, related complications and degree of metabolic control were obtained for the target diabetic population. We analyzed the consumption of healthcare resources, pharmaceutical and blood glucose reagent strips. All measurements obtained at individual level. Results: 99.3% of the diabetic population were attended at least once at a primary care center (14.9% of visits). 39.5% of primary care visits and less than 10% of the other scanned resources were related to the management of diabetes. The pharmaceutical expenditure was 25.4% of the population consumption (average cost ? 1.014,57). 36.5% of diabetics consumed reagents strips (average cost ?120,65). The more frequent CRG are 5424-Diabetes (27%); 6144-Diabetesand Hypertension (25,5%) and 6143-Diabetes and Other Moderate Chronic Disease (17,2%). The degree of disease control is better in patients not consumers of antidiabetic drugs or treated with oral antidiabetic agents not secretagogues. Conclusions: Comorbidity is decisive in the consumption of resources. Just a few part of this consumption is specifically related to the management of diabetes. Results obtained provide a whole population approach to the main existing studies in our national and regional context (AU)

Estimating lifetime healthcare costs with morbidity data.

BACKGROUND: In many developed countries, the economic crisis started in 2008 producing a serious contraction of the financial resources spent on healthcare. Identifying which individuals will require more resources and the moment in their lives these resources have to be allocated becomes essential. It is well known that a small number of individuals with complex healthcare needs consume a high percentage of health expenditures. Conversely, little is known on how morbidity evolves throughout life. The aim of this study is to introduce a longitudinal perspective to chronic disease management. METHODS: Data used relate to the population of the county of Baix Empordà in Catalonia for the period 2004-2007 (average population was N = 88,858). The database included individual information on morbidity, resource consumption, costs and activity records. The population was classified using the Clinical Risk Groups (CRG) model. Future morbidity evolution was simulated under different assumptions using a stationary Markov chain. We obtained morbidity patterns for the lifetime and the distribution function of the random variable lifetime costs. Individual information on acute episodes, chronic conditions and multimorbidity patterns were included in the model. RESULTS: The probability of having a specific health status in the future (healthy, acute process or different combinations of chronic illness) and the distribution function of healthcare costs for the individual lifetime were obtained for the sample population. The mean lifetime cost for women was €111,936, a third higher than for men, at €81,566 (all amounts calculated in 2007 Euros). Healthy life expectancy at birth for females was 46.99, lower than for males (50.22). Females also spent 28.41 years of life suffering from some type of chronic disease, a longer period than men (21.9). CONCLUSIONS: Future morbidity and whole population costs can be reasonably predicted, combining stochastic microsimulation with a morbidity classification system. Potential ways of efficiency arose by introducing a time perspective to chronic disease management.