Doctors' opinions on clinical coordination between primary and secondary care in the Catalan healthcare system.

OBJECTIVE: To analyse doctors' opinions on clinical coordination between primary and secondary care in different healthcare networks and on the factors influencing it. METHODS: A qualitative descriptive-interpretative study was conducted, based on semi-structured interviews. A two-stage theoretical sample was designed: 1) healthcare networks with different management models; 2) primary care and secondary care doctors in each network. Final sample size (n = 50) was reached by saturation. A thematic content analysis was conducted. RESULTS: In all networks doctors perceived that primary and secondary care given to patients was coordinated in terms of information transfer, consistency and accessibility to SC following a referral. However, some problems emerged, related to difficulties in acceding non-urgent secondary care changes in prescriptions and the inadequacy of some referrals across care levels. Doctors identified the following factors: 1) organizational influencing factors: coordination is facilitated by mechanisms that facilitate information transfer, communication, rapid access and physical proximity that fosters positive attitudes towards collaboration; coordination is hindered by the insufficient time to use mechanisms, unshared incentives in prescription and, in two networks, the change in the organizational model; 2) professional factors: clinical skills and attitudes towards coordination. CONCLUSIONS: Although doctors perceive that primary and secondary care is coordinated, they also highlighted problems. Identified factors offer valuable insights on where to direct organizational efforts to improve coordination.

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.

Doctors' opinion on the contribution of coordination mechanisms to improving clinical coordination between primary and outpatient secondary care in the Catalan national health system.

BACKGROUND: Clinical coordination is considered a health policy priority as its absence can lead to poor quality of care and inefficiency. A key challenge is to identify which strategies should be implemented to improve coordination. The aim is to analyse doctors' opinions on the contribution of mechanisms to improving clinical coordination between primary and outpatient secondary care and the factors influencing their use. METHODS: A qualitative descriptive study in three healthcare networks of the Catalan national health system. A two-stage theoretical sample was designed: in the first stage, networks with different management models were selected; in the second, primary care (n = 26) and secondary care (n = 24) doctors. Data were collected using semi-structured interviews. Final sample size was reached by saturation. A thematic content analysis was conducted, segmented by network and care level. RESULTS: With few differences across networks, doctors identified similar mechanisms contributing to clinical coordination: 1) shared EMR facilitating clinical information transfer and uptake; 2) mechanisms enabling problem-solving communication and agreement on clinical approaches, which varied across networks (joint clinical case conferences, which also promote mutual knowledge and training of primary care doctors; virtual consultations through EMR and email); and 3) referral protocols and use of the telephone facilitating access to secondary care after referrals. Doctors identified organizational (insufficient time, incompatible timetables, design of mechanisms) and professional factors (knowing each other, attitude towards collaboration, concerns over misdiagnosis) that influence the use of mechanisms. DISCUSSION: Mechanisms that most contribute to clinical coordination are feedback mechanisms, that is those based on mutual adjustment, that allow doctors to exchange information and communicate. Their use might be enhanced by focusing on adequate working conditions, mechanism design and creating conditions that promote mutual knowledge and positive attitudes towards collaboration.

Efectividad e impacto económico de un programa de atención integrada con soporte de telemedicina a pacientes diabéticos tipo 2 tratados con insulina (estudio GITDIABE) / Effectiveness and economic impact of a program of integrated care with telemedicine support on insulin-treated type 2 diabetic patients (Study GITDIABE)

OBJETIVO: Evaluar si pacientes diabéticos tipo 2 con insulina y autocontrol (DIA) incluidos en un programa de gestión integrada de la diabetes mellitus (DM) con seguimiento telemático alcanzan un grado de control metabólico a los 12 meses mejor que los no incluidos, así como el impacto en la utilización y el coste de servicios sanitarios, consumo de fármacos y tiras reactivas. DISEÑO: Estudio prospectivo de cohortes paralelas. Emplazamiento: Cuatro áreas básicas de salud de una organización sanitaria integrada. PARTICIPANTES: Ciento veintiséis pacientes DIA de 15 o más años en tratamiento con insulina rápida o intermedia con autocontroles: 42 casos y 84 controles emparejados según edad, sexo, grado de control de la DM y perfil de morbilidad. Intervención: Comunicación telemática médico-paciente y volcado de glucemias mediante la plataforma Emminens eConecta®; suministro a domicilio de tiras reactivas según consumo. Controles ocultos, con seguimiento habitual. Mediciones principales: Hemoglobina glucosilada (% HbA1c); percepción de calidad de vida (EuroQol-5 y EsDQOL); riesgo cardiovascular; utilización de recursos sanitarios; consumo de tiras reactivas y medicamentos; gasto sanitario total. RESULTADOS: Reducción de %HbA1c en casos respecto a controles de 0,38% (IC95% −0,89% a 0,12%). Sin diferencias significativas respecto a ninguna de las actividades registradas, ni cambios significativos en la calidad de vida. CONCLUSIONES: Los resultados obtenidos no difieren de otros estudios equiparables. El perfil es de un paciente anciano y pluripatológico que tiene todavía limitaciones tecnológicas. Para superar estas barreras se debería dedicar más tiempo a la formación y a la resolución de problemas tecnológicos

AIM: To evaluate if insulin-treated type 2 diabetic patients with blood glucose self-monitoring (DIA), included in a program of integrated management of diabetes mellitus (DM), achieve a better level of metabolic control with telemedicine support than with conventional support, after 12 months follow-up. The impact on the use and cost of healthcare services, pharmaceutical expenditure, and consumption of test strips for blood glucose, was also assessed. DESIGN: A prospective parallel cohorts study. Field: Four basic health areas of an integrated healthcare organisation. PARTICIPANTS: The study included 126 DIA patients aged 15 or more years, treated with rapid or intermediate Insulin and blood glucose self-monitoring, grouped into 42 cases and 84 controls, matched according to age, sex, level of metabolic control, and morbidity profile. Intervention: Telematics physician-patient communication and download of blood glucose self-monitoring data through the Emminens eConecta® platform; test strips home delivered according to consumption. Hidden controls with usual follow-up. MAIN MEASUREMENTS: Glycosylated haemoglobin (%HbA1c); perception of quality of life (EuroQol-5 and EsDQOL); cardiovascular risk; use of healthcare resources; consumption of test strips; pharmaceutical and healthcare expenditure. RESULTS: Reduction of 0.38% in HbA1c in the cases (95% CI:−0.89% to 0.12%). No significant differences with regard to any of the activities registered, or any significant change in the quality of life. CONCLUSIONS: The results obtained are similar to other equivalent studies. The profile of the patient is elderly and with multiple morbidities, who still have technological limitations. To surpass these barriers, it would be necessary to devote more time to the training and to the resolution of possible technological problems

[Effectiveness and economic impact of a program of integrated care with telemedicine support on insulin-treated type 2 diabetic patients (Study GITDIABE)]. / Efectividad e impacto económico de un programa de atención integrada con soporte de telemedicina a pacientes diabéticos tipo 2 tratados con insulina (estudio GITDIABE).

AIM: To evaluate if insulin-treated type 2 diabetic patients with blood glucose self-monitoring (DIA), included in a program of integrated management of diabetes mellitus (DM), achieve a better level of metabolic control with telemedicine support than with conventional support, after 12 months follow-up. The impact on the use and cost of healthcare services, pharmaceutical expenditure, and consumption of test strips for blood glucose, was also assessed. DESIGN: A prospective parallel cohorts study. FIELD: Four basic health areas of an integrated healthcare organisation. PARTICIPANTS: The study included 126 DIA patients aged 15 or more years, treated with rapid or intermediate Insulin and blood glucose self-monitoring, grouped into 42 cases and 84 controls, matched according to age, sex, level of metabolic control, and morbidity profile. INTERVENTION: Telematics physician-patient communication and download of blood glucose self-monitoring data through the Emminens eConecta® platform; test strips home delivered according to consumption. Hidden controls with usual follow-up. MAIN MEASUREMENTS: Glycosylated haemoglobin (%HbA1c); perception of quality of life (EuroQol-5 and EsDQOL); cardiovascular risk; use of healthcare resources; consumption of test strips; pharmaceutical and healthcare expenditure. RESULTS: Reduction of 0.38% in HbA1c in the cases (95% CI:-0.89% to 0.12%). No significant differences with regard to any of the activities registered, or any significant change in the quality of life. CONCLUSIONS: The results obtained are similar to other equivalent studies. The profile of the patient is elderly and with multiple morbidities, who still have technological limitations. To surpass these barriers, it would be necessary to devote more time to the training and to the resolution of possible technological problems.

Continuity of clinical management and information across care levels: perceptions of users of different healthcare areas in the Catalan national health system.

BACKGROUND: The integration of health care has become a priority in most health systems, as patients increasingly receive care from several professionals in various different settings and institutions, particularly those with chronic conditions and multi-morbidities. Continuity of care is defined as one patient experiencing care over time as connected and coherent with his or her health needs and personal circumstances. The objective is to analyse perceptions of continuity of clinical management and information across care levels and the factors influencing it, from the viewpoint of users of the Catalan national health system. METHODS: A descriptive-interpretative qualitative study was conducted using a phenomenological approach. A two-stage theoretical sample was selected: (i) the study contexts: healthcare areas in Catalonia with different services management models; (ii) users ≥ 18 years of age who were attended to at both care levels for the same health problem. Data were collected by means of individual semi-structured interviews with patients (n = 49). All interviews were recorded and transcribed. A thematic content analysis was conducted segmented by study area, with a mixed generation of categories and triangulation of analysts. RESULTS: Patients in all three areas generally perceived that continuity of clinical management across levels existed, on referring to consistent care (same diagnosis and treatment by doctors of both care levels, no incompatibilities of prescribed medications, referrals across levels when needed) and accessibility across levels (timeliness of appointments). In terms of continuity of information, patients in most areas mentioned the existence of information sharing via computer and its adequate usage. Only a few discontinuity elements were reported such as long waiting times for specific tests performed in secondary care or insufficient use of electronic medical records by locum doctors. Different factors influencing continuity were identified by patients, relating to the health system itself (clear distribution of roles between primary and secondary care), health services organizations (care coordination mechanisms, co-location, insufficient resources) and physicians (willingness to collaborate, commitment to patient care, the primary care physician's technical competence). CONCLUSIONS: Care continuity across care levels is experienced by patients in the areas studied, with certain exceptions that highlight where there is room for improvement. Influencing factors offer valuable insights on where to direct coordination efforts.

[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.

La medida de la morbilidad atendida en una organización sanitaria integrada / Measurement of morbidity attended in an integrated health care organization

Introducción: La comprensión de la calidad, los costes y los resultados de los servicios de salud obliga a conocer con precisión la morbilidad de la población. La medida de la morbilidad atendida en una población y su relación con los servicios recibidos es una tarea pendiente. El objetivo de este artículo es presentar la experiencia de utilización de los grupos de riesgo clínico (clinical risk groups [CRG]) como sistema de medida de la morbilidad atendida en una organización sanitaria integrada (OSI). Métodos: Se estudia la población de una comarca (unas 120.000 personas) atendida por una OSI durante los años 2002¿2005. Se utilizan los CRG como sistema de medida de la morbilidad poblacional. Se efectúa un análisis descriptivo de las diferentes posibilidades de utilización que ofrece este sistema. Resultados: El 15,5% de la población presenta una o más enfermedades crónicas dominantes, un 9% presenta enfermedades agudas significativas, un 7% presenta enfermedades crónicas menores y un 0,5% enfermedades muy graves. Entre 2002 y 2005, en un 8% de la población se identifica la aparición de alguna enfermedad crónica. La carga de enfermedad se incrementa con la edad, pero en cualquier grupo de edad al menos un 40% de las personas permanecen sanas. La comorbilidad en enfermedades crónicas es un factor determinante en la explicación del consumo de recursos sanitarios. Conclusiones: Los CRG son una herramienta que facilita el análisis a diferentes niveles para la gestión clínica y, por su configuración, permiten una mejor comprensión de la utilización, los costes y la calidad del conjunto de servicios recibidos por una población(AU)

Introduction: Understanding the quality, costs and outcomes of healthcare services requires precise determination of the morbidity in a population. Measurement of morbidity in a population and its association with the services provided remains to be performed. The aim of this article was to present our experience of using clinical risk groups (CRGs) to measure morbidity in an integrated healthcare organization (IHO). Methods: We studied the population attended by an IHO in a county (approximately 120,000 patients) from 2002 to 2005. CRGs were used to measure morbidity. A descriptive analysis was performed of the population's distribution in CRG categories and utilization rates. Results: One or more chronic diseases was found in 15.5% of the population, significant acute illness was found in 9%, minor chronic diseases was found in 7% and very severe diseases was found in 0.5%. Between 2002 and 2005, the number of individuals with chronic disease increased by 8%. The burden of illness increased with age. However, at all ages, at least 40% of the population remained healthy. Comorbidity in chronic illnesses was a crucial factor in explaining healthcare resource utilization. Conclusions: The CRG grouping system aids analysis at different levels for clinical administration. Due to its composition, this system allows better understanding of the use, costs and quality of the set of services received by a population(AU)

[Measurement of morbidity attended in an integrated health care organization]. / La medida de la morbilidad atendida en una organización sanitaria integrada.

INTRODUCTION: Understanding the quality, costs and outcomes of healthcare services requires precise determination of the morbidity in a population. Measurement of morbidity in a population and its association with the services provided remains to be performed. The aim of this article was to present our experience of using clinical risk groups (CRGs) to measure morbidity in an integrated healthcare organization (IHO). METHODS: We studied the population attended by an IHO in a county (approximately 120,000 patients) from 2002 to 2005. CRGs were used to measure morbidity. A descriptive analysis was performed of the population's distribution in CRG categories and utilization rates. RESULTS: One or more chronic diseases was found in 15.5% of the population, significant acute illness was found in 9%, minor chronic diseases was found in 7% and very severe diseases was found in 0.5%. Between 2002 and 2005, the number of individuals with chronic disease increased by 8%. The burden of illness increased with age. However, at all ages, at least 40% of the population remained healthy. Comorbidity in chronic illnesses was a crucial factor in explaining healthcare resource utilization. CONCLUSIONS: The CRG grouping system aids analysis at different levels for clinical administration. Due to its composition, this system allows better understanding of the use, costs and quality of the set of services received by a population.