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      Utilización de los servicios de salud de Atención Primaria en los pacientes crónicos según nivel de riesgo Translated title: Health services utilization in Primary Care in patients with chronic conditions according to risk levels

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          Abstract

          RESUMEN Fundamentos: Los pacientes crónicos sufren mayor número de problemas de salud y tienen mayores necesidades de asistencia y cuidados. El objetivo de este estudio fue describir la utilización de servicios de salud de Atención Primaria en los pacientes crónicos según el nivel de riesgo asignado por los grupos de morbilidad ajustados (GMA), así como analizar los factores asociados. Sujetos y métodos: Se realizó un estudio transversal. Se incluyeron pacientes ≥ 18 años identificados como crónicos por el estratificador GMA en una zona básica de salud de la Comunidad de Madrid, con una población adscrita de 18.107 habitantes. Se recogieron variables sociodemográficas, clínico-asistenciales y de utilización de servicios, y se clasificaron según el modelo “conductual” en “factores predisponentes”, “factores de necesidad” o “factores facilitadores”. Se empleó un análisis univariado, bivariado y multivariante, ajustando un modelo de regresión lineal múltiple con estimadores robustos. Resultados: Se incluyeron 9.443 pacientes crónicos (el 52,1% de la población de la zona seleccionada), con una edad media de 57,8 años (Desviación estándar (DE)=18,7), siendo mujeres el 62,1%. El 4,7% eran pacientes de alto riesgo, el 18,7% de medio riesgo y el 76,6% presentaba bajo riesgo. La media de contactos/año fue de 14,1 (DE=15,2). 34,4 (DE=27,9) en alto riesgo, 21,8 (DE=17,2) en riesgo medio y 10,1 (DE=10,2) en bajo riesgo. De estos contactos, 7,5 (DE=7,1) fueron con médico y 12,9 (DE=12,9) presenciales. Los factores asociados a mayor utilización fueron el riesgo alto (Coeficiente B (CB)=12,6; IC95%=11,1-14,2), el estar inmovilizado (CB=8,8; IC95%=7,3-10,4), la polimedicación (CB=6; IC95%=5,1-6,9), el ser mujer (CB=1; IC95%=0,4-1,5), el número de enfermedades crónicas (CB=1; IC95%=0,8-1,2) y la edad (CB=0,03; IC95%=0,01-0,05). Conclusiones: La utilización de servicios de Atención Primaria en los pacientes crónicos es elevada y aumenta según el nivel de riesgo asignado por los GMA. El contacto con el médico es superior frente al de la enfermería, y el tipo más frecuente es presencial. La mayor utilización responde a factores predisponentes (ser mujer y la edad) y, sobre todo, de necesidad clínica (alto riesgo, multimorbilidad, polimedicación e inmovilidad).

          Translated abstract

          ABSTRACT Background: Chronic patients suffer a greater number of health problems and have greater needs for assistance and care. The objective was to describe the use of health services in Primary Care in patients with chronic conditions according to risk level by adjusted morbidity groups (AMG) and analyze the associated factors. Methods: Cross-sectional study. We included patients ≥18 years-old identified as chronic by the stratification tool according to AMG in a basic health area in the Community of Madrid with an assigned population of 18,107 inhabitants. Sociodemographic, clinical-care and use of services variables were collected and were classified according to the “behavioral” model in predisposing, need or facilitators factors. Univariate, bivariate and multiple linear regression adjusted with robust estimators was performed. Results: 9,443 chronic patients (52.1% of the population in the selected zone) were identified, mean age of 57.8 (SD=18.7); 62.1% women. According to their risk level 4.7% were high risk, 18.7% medium risk and 76.6% low risk. The mean number of contacts per year was 14.1 (SD=15.2); 34.4 (SD=27.9) in high risk; 21.8 (SD=17.2) in medium risk and 10.1 (SD=10.2) in low risk. 7.5 (SD=7.1) contacts were with the doctor and 12.9 (SD=12.9) were face-to-face. The factors associated with higher use of services were high risk (Coefficient B(CB)=12.6; IC95%=11-14.2), immobilization (CB=8.8; IC95%=7.3-10.4), polypharmacy (CB=6; IC95%=5-8.6), female sex (CB=1; IC95%=0.4-1.5), number of chronic diseases (CB=1; IC95%=0.8-1.2) and age (CB=0.03; IC95%=0.01-0.05). Conclusions: The health services utilization in Primary Care in chronic patients is high and increased according with the risk level by AMG. The contact with the doctor is superior to nurse and the most frequent type is face-to-face. The greater utilization of services responds to predisposing factors (female sex and age) and above all to need factors (high risk, immobility, multimorbidity and polypharmacy).

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          Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study.

          In developed countries, primary health care increasingly involves the care of patients with multiple chronic conditions, referred to as multimorbidity. To describe the epidemiology of multimorbidity and relationships between multimorbidity and primary care consultation rates and continuity of care. Retrospective cohort study. Random sample of 99 997 people aged 18 years or over registered with 182 general practices in England contributing data to the General Practice Research Database. Multimorbidity was defined using two approaches: people with multiple chronic conditions included in the Quality and Outcomes Framework, and people identified using the Johns Hopkins University Adjusted Clinical Groups (ACG®) Case-Mix System. The determinants of multimorbidity (age, sex, area deprivation) and relationships with consultation rate and continuity of care were examined using regression models. Sixteen per cent of patients had more than one chronic condition included in the Quality and Outcomes Framework, but these people accounted for 32% of all consultations. Using the wider ACG list of conditions, 58% of people had multimorbidity and they accounted for 78% of consultations. Multimorbidity was strongly related to age and deprivation. People with multimorbidity had higher consultation rates and less continuity of care compared with people without multimorbidity. Multimorbidity is common in the population and most consultations in primary care involve people with multimorbidity. These people are less likely to receive continuity of care, although they may be more likely to gain from it.
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            Age- and gender-related prevalence of multimorbidity in primary care: the swiss fire project

            Background General practitioners often care for patients with several concurrent chronic medical conditions (multimorbidity). Recent data suggest that multimorbidity might be observed more often than isolated diseases in primary care. We explored the age- and gender-related prevalence of multimorbidity and compared these estimates to the prevalence estimates of other common specific diseases found in Swiss primary care. Methods We analyzed data from the Swiss FIRE (Family Medicine ICPC Research using Electronic Medical Record) project database, representing a total of 509,656 primary care encounters in 98,152 adult patients between January 1, 2009 and July 31, 2011. For each encounter, medical problems were encoded using the second version of the International Classification of primary Care (ICPC-2). We defined chronic health conditions using 147 pre-specified ICPC-2 codes and defined multimorbidity as 1) two or more chronic health conditions from different ICPC-2 rubrics, 2) two or more chronic health conditions from different ICPC-2 chapters, and 3) two or more medical specialties involved in patient care. We compared the prevalence estimates of multimorbidity defined by the three methodologies with the prevalence estimates of common diseases encountered in primary care. Results Overall, the prevalence estimates of multimorbidity were similar for the three different definitions (15% [95%CI 11-18%], 13% [95%CI 10-16%], and 14% [95%CI 11-17%], respectively), and were higher than the prevalence estimates of any specific chronic health condition (hypertension, uncomplicated 9% [95%CI 7-11%], back syndrome with and without radiating pain 6% [95%CI 5-7%], non-insulin dependent diabetes mellitus 3% [95%CI 3-4%]), and degenerative joint disease 3% [95%CI 2%-4%]). The prevalence estimates of multimorbidity rose more than 20-fold with age, from 2% (95%CI 1-2%) in those aged 20–29 years, to 38% (95%CI 31-44%) in those aged 80 or more years. The prevalence estimates of multimorbidity were similar for men and women (15% vs. 14%, p=0.288). Conclusions In primary care, prevalence estimates of multimorbidity are higher than those of isolated diseases. Among the elderly, more than one out of three patients suffer from multimorbidity. Management of multimorbidity is a principal concern in this vulnerable patient population.
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              Impact of multimorbidity: acute morbidity, area of residency and use of health services across the life span in a region of south Europe

              Background Concurrent diseases, multiple pathologies and multimorbidity patterns are topics of increased interest as the world’s population ages. To explore the impact of multimorbidity on affected patients and the consequences for health services, we designed a study to describe multimorbidity by sex and life-stage in a large population sample and to assess the association with acute morbidity, area of residency and use of health services. Methods A cross-sectional study was conducted in Catalonia (Spain). Participants were 1,749,710 patients aged 19+ years (251 primary care teams). Primary outcome: Multimorbidity (≥2 chronic diseases). Secondary outcome: Number of new events of each acute disease. Other variables: number of acute diseases per patient, sex, age group (19–24, 25–44, 45–64, 65–79, and 80+ years), urban/rural residence, and number of visits during 2010. Results Multimorbidity was present in 46.8% (95% CI, 46.7%-46.8%) of the sample, and increased as age increased, being higher in women and in rural areas. The most prevalent pair of chronic diseases was hypertension and lipid disorders in patients older than 45 years. Infections (mainly upper respiratory infection) were the most common acute diagnoses. In women, the highest significant RR of multimorbidity vs. non-multimorbidity was found for teeth/gum disease (aged 19–24) and acute upper respiratory infection. In men, this RR was only positive and significant for teeth/gum disease (aged 65–79). The adjusted analysis showed a strongly positive association with multimorbidity for the oldest women (80+ years) with acute diseases and women aged 65–79 with 3 or more acute diseases, compared to patients with no acute diseases (OR ranged from 1.16 to 1.99, p < 0.001). Living in a rural area was significantly associated with lower probability of having multimorbidity. The odds of multimorbidity increased sharply as the number of visits increased, reaching the highest probability in those aged 65–79 years. Conclusions Multimorbidity is related to greater use of health care services and higher incidence of acute diseases, increasing the burden on primary care services. The differences related to sex and life-stage observed for multimorbidity and acute diseases suggest that further research on multimorbidity should be stratified according to these factors.
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                Author and article information

                Journal
                resp
                Revista Española de Salud Pública
                Rev. Esp. Salud Publica
                Ministerio de Sanidad, Consumo y Bienestar social (Madrid, Madrid, Spain )
                1135-5727
                2173-9110
                2019
                : 93
                : e201909082
                Affiliations
                [1] Madrid Madrid orgnameUniversidad Autónoma de Madrid Spain
                [5] Madrid orgnameGerencia Asistencial de Atención Primaria orgdiv1Centro de salud Ciudad Jardín España
                [6] Toledo orgnameComplejo Hospitalario de Toledo orgdiv1Hospital Virgen de la Salud orgdiv2Servicio de Medicina Preventiva España
                [4] Madrid Madrid orgnameUniversidad Autónoma de Madrid orgdiv1Departamento de Medicina Spain
                [3] Madrid orgnameHospital Universitario de La Princesa orgdiv1Servicio de Medicina Interna España
                [7] orgnameRed de Investigación en Servicios de Salud en Enfermedades Crónicas España
                [8] Madrid Madrid orgnameUniversidad Rey Juan Carlos orgdiv1Área de Medicina Preventiva y Salud Pública Spain
                [2] Madrid orgnameGerencia Asistencial de Atención Primaria orgdiv1Unidad de Apoyo a la Investigación España
                Article
                S1135-57272019000100433 S1135-5727(19)09300000433
                295fd62d-0c26-4d51-84bd-6158a14eca44

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 International License.

                History
                : 21 May 2019
                : 01 February 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 43, Pages: 0
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                SciELO Public Health

                Categories
                Originales

                Niveles de riesgo,Enfermedades crónicas,Chronic disease,Atención primaria,Servicios de salud,Agrupador de morbilidad,Multiple morbidity,Multimorbilidad,Risk levels,Primary care,Morbidity grouper,Health services

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