Specific model for the coordination of primary and hospital care for patients with diabetes mellitus. Evaluation of two-year results (2015-2017).

INTRODUCTION: Diabetes mellitus (DM) is one of the most prevalent chronicdiseases and has a significant health and social impact. Strict control of blood glucose levels and other risk factors for vascular disease (VD) reduces complications and mortality and is related to the quality of care received. Although care should be interdisciplinary, based on the coordination of primary care (PC) and hospital care (HC), little information is available on the effectiveness of the different existing intervention models. OBJECTIVE: To assess, in a population with DM from a healthcare area, the impact on health, quality of care, and effectiveness in the use of resources of a specific model of shared management of patients with DM (Instrument for Evaluation of Models of Chronic Care in Diabetes Mellitus; IEMAC-DM). PATIENTS AND METHODS: A quasi-experimental before-after intervention study in patients with DM in the Cádiz-San Fernando Healthcare Area (Andalusia, Spain) that allows for identifying the capacity of the program to improve the quality indicators both in the whole population with DM and in that referred to HC. For this, a working group consisting of healthcare professionals of different profiles and care levels was set up. An initial self-assessment was done using the IEMAC-DM tool and, after analysis of the preliminary results, improvement strategies were established and implemented. Finally, the clinical and resource management results were assessed before and two years after the implementation of the model. RESULTS: During the study period, no significant changes were seen in process indicators related to laboratory practices or examinations in the health area. The proportion of patients with acceptable metabolic control [glycosylated hemoglobin (HbA1c) level < 8%] was 49% in 2015 and 45% in 2017. The number of admissions related to acute myocardial infarction (AMI) and stroke remained constant, but there was an increase in the standardized ratio of major lower limb amputations (1.5 vs. 1.9). Of the 295 patients referred from PC to HC, the proportion of adequate referrals increased from 40% in 2015 to 76% in 2017 (P = .001). In the referred patients, a significant improvement was seen in the mean difference in glycosylated hemoglobin levels (HbA1c; 1.14 ± 1.73%; 95% CI: 0.73-1.55; P = .0001) and cholesterol (11.28 ± 40 mg/dL; 95% CI: 2.07-20.48; P = .012). CONCLUSIONS: This study shows that an intervention based on a chronicity care model adapted to patients with DM improves certain aspects related to the quality of care and the degree of metabolic control. Improving health outcomes will require long-term evaluation and, probably, other additional interventions.

Specific model for the coordination of primary and hospital care for patients with diabetes mellitus. Evaluation of two-year results (2015-2017). / Modelo específico de coordinación entre atención primaria y hospitalaria para la atención a pacientes con diabetes mellitus. Evaluación de resultados a dos años (2015-2017).

INTRODUCTION: Diabetes mellitus (DM) is one of the most prevalent chronic diseases and has a significant health and social impact. Strict control of blood glucose levels and other risk factors for vascular disease reduces complications and mortality and is related to the quality of care received. Although care should be interdisciplinary, based on the coordination of primary care (PC) and hospital care (HC), little information is available on the effectiveness of the different existing intervention models. OBJECTIVE: To assess, in a population with DM from a healthcare area, the impact on health, quality of care, and effectiveness in the use of resources of a specific model of shared management of patients with DM (Instrument for Evaluation of Models of Chronic Care in Diabetes Mellitus; IEMAC-DM). PATIENTS AND METHODS: A quasi-experimental before-after intervention study in patients with DM in the Cádiz-San Fernando Healthcare Area (Andalusia, Spain) that allows for identifying the capacity of the program to improve the quality indicators both in the whole population with DM and in that referred to HC. For this, a working group consisting of healthcare professionals of different profiles and care levels was set up. An initial self-assessment was done using the IEMAC-DM tool and, after analysis of the preliminary results, improvement strategies were established and implemented. Finally, the clinical and resource management results were assessed before and two years after the implementation of the model. RESULTS: During the study period, no significant changes were seen in process indicators related to laboratory practices or examinations in the health area. The proportion of patients with acceptable metabolic control [glycosylated hemoglobin (HbA1c) level<8%] was 49% in 2015 and 45% in 2017. The number of admissions related to acute myocardial infarction and stroke remained constant, but there was an increase in the standardized ratio of major lower limb amputations (1.5 vs. 1.9). Of the 295 patients referred from PC to HC, the proportion of adequate referrals increased from 40% in 2015 to 76% in 2017 (p=0.001). In the referred patients, a significant improvement was seen in the mean difference in glycosylated hemoglobin levels (HbA1c; 1.14±1.73%; 95% CI: 0.73-1.55; p=0.0001) and cholesterol (11.28±40mg/dL; 95% CI: 2.07-20.48; p=0.012). CONCLUSIONS: This study shows that an intervention based on a chronicity care model adapted to patients with DM improves certain aspects related to the quality of care and the degree of metabolic control. Improving health outcomes will require long-term evaluation and, probably, other additional interventions.

El efecto del estado civil sobre las desigualdades sociales y de género en la mortalidad por diabetes mellitus en Andalucía / The effect of marital status on social and gender inequalities in diabetes mortality in Andalusia

Objetivos: Evaluar el efecto modificador del estado civil sobre las desigualdades sociales y de género en la mortalidad por diabetes mellitus (DM) en Andalucía. Material y métodos: Estudio transversal a partir de la Cohorte Censal 2001 de Andalucía. Se estudiaron defunciones por DM entre 2002 y 2013 según nivel de estudios y estado civil. Se calcularon tasas de mortalidad ajustadas por edad (TA) y razones de tasas de mortalidad (RTM) mediante modelos de regresión de Poisson, controladas por otras variables sociodemográficas. Se evaluó el efecto modificador del estado civil incorporando a los modelos un término de interacción. Todos los análisis se realizaron separadamente para hombres y mujeres. Resultados: Sobre un total de 4.229.791 sujetos se registraron 18.158 muertes por DM (10.635 mujeres y 7.523 hombres). A medida que disminuye el nivel educativo aumenta el riesgo de muerte. El estado civil modifica la desigualdad social en la mortalidad por DM de forma diferente en cada sexo. Las mujeres viudas y separadas/divorciadas con menor nivel de estudios presentan las mayores RTM: 5,1 (IC95%: 3,6-7,3) y 5,6 (IC95%: 3,6-8,5), respectivamente, mientras que los hombres solteros tienen la RTM más elevada: 3,1 (IC95%: 2,7-3,6). Conclusiones: El nivel de estudios es un determinante fundamental de la mortalidad por DM en ambos sexos; su relevancia es mayor entre las mujeres, mientras que en los hombres también el estado civil es un factor clave. Para abordar las desigualdades en la mortalidad nuestros resultados sugieren que el énfasis actual en los factores individuales y el autocuidado debería extenderse hacia intervenciones sobre la familia, la comunidad y los contextos sociales más cercanos a los pacientes (AU)

Objective: To assess the modifying effect of marital status on social and gender inequalities in mortality from diabetes mellitus (DM) in Andalusia. Material and methods: A cross-sectional study was conducted using the Andalusian Longitudinal Population Database. DM deaths between 2002 and 2013 were analyzed by educational level and marital status. Age-adjusted rates (AARs) and mortality rate ratios (MRRs) were calculated using Poisson regression models, controlling for several social and demographic variables. The modifying effect of marital status on the association between educational level and DM mortality was evaluated by introducing an interaction term into the models. All analyses were performed separately for men and women. Results: There were 18,158 DM deaths (10,635 women and 7,523 men) among the 4,229,791 people included in the study. The risk of death increased as the educational level decreased. Marital status modified social inequality in DM mortality in a different way in each sex. Widowed and separated/divorced women with the lowest educational level had the highest MRRs, 5,1 (95%CI: 3,6-7,3) and 5,6 (95% CI:3,6-8,5) respectively, while single men had the highest MRR, 3,1 (95%CI: 2,7-3,6). Conclusions: Educational level is a key determinant of DM mortality in both sexes, and is more relevant in women, while marital status also plays an outstanding role in men. Our results suggest that in order to address inequalities in DM mortality, the current focus on individual factors and self-care should be extended to interventions on the family, the community, and the social contexts closest to patients (AU)

The effect of marital status on social and gender inequalities in diabetes mortality in Andalusia. / El efecto del estado civil sobre las desigualdades sociales y de género en la mortalidad por diabetes mellitus en Andalucía.

OBJECTIVE: To assess the modifying effect of marital status on social and gender inequalities in mortality from diabetes mellitus (DM) in Andalusia. MATERIAL AND METHODS: A cross-sectional study was conducted using the Andalusian Longitudinal Population Database. DM deaths between 2002 and 2013 were analyzed by educational level and marital status. Age-adjusted rates (AARs) and mortality rate ratios (MRRs) were calculated using Poisson regression models, controlling for several social and demographic variables. The modifying effect of marital status on the association between educational level and DM mortality was evaluated by introducing an interaction term into the models. All analyses were performed separately for men and women. RESULTS: There were 18,158 DM deaths (10,635 women and 7,523 men) among the 4,229,791 people included in the study. The risk of death increased as the educational level decreased. Marital status modified social inequality in DM mortality in a different way in each sex. Widowed and separated/divorced women with the lowest educational level had the highest MRRs, 5,1 (95%CI: 3,6-7,3) and 5,6 (95% CI:3,6-8,5) respectively, while single men had the highest MRR, 3,1 (95%CI: 2,7-3,6). CONCLUSIONS: Educational level is a key determinant of DM mortality in both sexes, and is more relevant in women, while marital status also plays an outstanding role in men. Our results suggest that in order to address inequalities in DM mortality, the current focus on individual factors and self-care should be extended to interventions on the family, the community, and the social contexts closest to patients.

Prevalence of obesity and associated cardiovascular risk: the DARIOS study.

BACKGROUND: To estimate the prevalence of overweight and obesity in the Spanish population as measured with body mass index (BMI), waist circumference (WC) and waist to height ratio (WHtR) and to determine the associated cardiovascular risk factors. METHODS: Pooled analysis with individual data from 11 studies conducted in the first decade of the 21st century. Participants aged 35-74 years were asked about the history of cardiovascular diseases, hypertension, diabetes and hypercholesterolemia. Height, weight, WC, blood pressure, glycaemia, total cholesterol, low-density and high-density lipoprotein cholesterol and coronary risk were measured. The prevalence of overweight (BMI 25-29.9 kg/m(2)), general obesity (BMI ≥ 30 kg/m(2)), suboptimal WC (≥ 80 cm and < 88 in women, ≥ 94 and < 102 in men), abdominal obesity (WC ≥88 cm ≥102 cm in women and men, respectively) and WHtR ≥0.5 was estimated, standardized for the European population. RESULTS: We included 28,743 individuals. The prevalence of overweight and suboptimal WC was 51% and 30% in men and 36% and 22% in women, respectively; general obesity was 28% in both sexes and abdominal obesity 36% in men and 55% in women. The prevalence of WHtR ≥0.5 was 89% and 77% in men and women, respectively. All cardiovascular risk factors were significantly associated with abnormal increased values of BMI, WC and WHtR. Hypertension showed the strongest association with overweight [OR = 1.99 (95% confidence interval 1.81-2.21) and OR = 2.10 (1.91-2.31)]; suboptimal WC [OR = 1.78 (1.60-1.97) and OR = 1.45 (1.26-1.66)], with general obesity [OR = 4.50 (4.02-5.04), and OR = 5.20 (4.70-5.75)] and with WHtR ≥0.5 [OR = 2.94 (2.52-3.43), and OR = 3.02 (2.66-3.42)] in men and women respectively, besides abdominal obesity in men only [OR = 3.51 (3.18-3.88)]. Diabetes showed the strongest association with abdominal obesity in women [OR = 3,86 (3,09-4,89). CONCLUSIONS: The prevalence of obesity in Spain was high. Overweight, suboptimal WC, general, abdominal obesity and WHtR ≥0.5 was significantly associated with diabetes, hypertension, hypercholesterolemia and coronary risk. The use of lower cut-off points for both BMI and particularly WC and could help to better identify the population at risk and therefore achieve more effective preventive measures.

[Diabetes mellitus in Spain: death rates, prevalence, impact, costs and inequalities]. / La diabetes mellitus en España: mortalidad, prevalencia, incidencia, costes económicos y desigualdades.

OBJECTIVE: Describing the situation of diabetes mellitus (DM) in Spain from a public health perspective. MATERIAL AND METHOD: manual review of books and other documents on diabetes mellitus in Spain was conducted. In addition, a specific research of articles published using MeSH terms diabetes mortality, prevalence, incidence, cost, inequalities and Spain was conducted in Medline through Internet (PubMed). Minimun Basic Data Set was utilized as source for complication description by Communities Autonomus. RESULTS: DM is one of the leading cause of mortality and the third one in women. With regard to Autonomous Communities, Canary Islands, Ceuta y Melilla and Andalusia show the greatest mortality with a downward trend. Diabetics present greater mortality than non diabetic patients, being complications the main cause of the over-mortality, especially ischemic heart disease. Estimations of prevalence for DM2 range from 4.8% to 18.7% and for DM1, from .08% to .2%. In pregnancy, it has been noted a prevalence ranging from 4.5% to 16.1%. With respect to incidence per year, it is estimated a range from 146 to 820 per 100,000 inhabitants for DM2 and a range from 10 to 17 new cases annually per 100,000 inhabitants for DM1. Costs for DM1 show very different results, averaging between 1,262 and 3,311 euro per people and year. There are differences for DM2 costs as well, averaging between 381 and 2,560 euro per patient and year. Total costs estimated range from 758 to 4,348 euro per person and year. Relationship between a low socioeconomic level (LSL) and DM2 risk has been proved. Moreover, it has been noted that the less LSL the worse is the disease control, coupled with a greater frequency and more frequent factors of DM2 risk. CONCLUSIONS: The knowledge about the situation of the DM as a Public Health problem in Spain is limited. Mortality data available does not gather its real magnitude, and prevalence, incidence, costs and inequalities research are very poor and hardly comparable. In spite of this degree of incertitude, we can state that DM is an important public health problem with a continuous increase, especially DM2, if the appropriate prevention and control measures are not taken.

La diabetes mellitus en España: mortalidad, prevalencia, incidencia, costes económicos y desigualdades / Mellitus diabetes in Spain: death rates, prevalence, impact, costs and inequalities

Objetivo: Describir la situación de la diabetes mellitus (DM) en España desde una perspectiva de salud pública. Material y método: Se ha realizado una búsqueda manual de libros y otros documentos sobre DM en España, además una búsqueda específica de artículo usando los términos MeSH diabetes mortality, morbidity, cost, inequalities and Spain, realizada en Medline a través de PubMed. También se han utilizado los últimos datos disponibles de mortalidad y del Conjunto Mínimo Básico de Datos Hospitalarios por Comunidad Autónoma. Resultados: La DM es una de las primeras causas de mortalidad, en las mujeres ocupa el tercer lugar. Por Comunidades Autónomas, Canarias junto con Andalucía y las ciudades autónomas de Ceuta y Melilla presentan la mayor mortalidad, con una tendencia descendente. Los diabéticos tienen una mayor mortalidad que los no diabéticos, sus complicaciones son las principales causas de la mayor mortalidad, sobre todo la enfermedad isquémica del corazón. Las estimaciones de prevalencia de DM tipo 2 (DM2) en España varían entre el 4,8 y el 18,7%, las de DM tipo 1 (DM1) entre el 0,08 y el 0,2%. Para la DM en el embarazo se han descrito prevalencias entre el 4,5 y el 16,1%. En cuanto a incidencia anual, se estima entre 146 y 820 por 100.000 personas para la DM2 y entre 10 y 17 nuevos casos anuales por 100.000 personas para la DM1. Los costes económicos de la DM1 van de 1.262 a 3.311 €/persona/ año. Los costes de la DM2 oscilan entre 381 y 2.560 €/paciente/ año. Los estudios que estiman costes totales los sitúan entre 758 y 4.348 €/persona/año. Se ha demostrado que a menor nivel socioeconómico peor es el control de la enfermedad y mayores su frecuencia y los otros factores de riesgo de DM2. Conclusiones: Se puede afirmar que la DM es un importante problema de salud pública que irá incrementándose en los próximos años (fundamentalmente la DM2) si no se toman las medidas de prevención y control oportunas (AU)

Objective: Describing the situation of diabetes mellitus (DM) in Spain from a public health perspective. Matherial and method: A manual review of books and other documents on diabetes mellitus in Spain was conduced. In addition, a specific research of articles published using MeSH terms diabetes mortality, prevalence, incidence, cost, inequalities and Spain was conduced in Medline through Internet(PubMed). Minimun Basic Data Set was utilized as source for complication description by Communities Autonomus. Results: DM is one of the leading cause of mortality and the third one in women. With regard to Autonomous Communities, Canary Islands, Ceuta y Melilla and Andalusia show the greatest mortality with a downward trend. Diabetics present grater mortality than non diabetic patients, being complications the main cause of the over-mortality, especially ischemic heart disease. Estimations of prevalence for DM2 range from 4.8% to 18.7% and for DM1, from.08% to.2%. In pregnancy, it has been noted a prevalence ranging from 4.5% to 16.1%. With respect to incidence per year, it is estimated a range from 146 to 820 per 100 000 inhabitants for DM2 and a range from 10 to 17 mew cases annually per 100 000 inhabitants for DM1. Costs for DM1 show very different results, averaging between 1,262 and 3,311 e per people and year. There are differences for DM2 costs as well, averaging between 381 and 2,560 e per patient and year. Total costs estimated range from 758 to 4,348 e per person and year. Relationship between a low socioeconomic level (LSL) and DM2 risk has been proved. Moreover,it has been noted that the less LSL the worse is the disease control, coupled with a greater frequency and more frequent factors of DM2 risk. Conclusions: The knowledge about the situation of the DM as a Public Health problem in Spain is limited. Mortality data available does not gather its real magnitude, and prevalence, incidence, costs and inequalities research are very poor and hardly comparable. In spite of this degree of incertitude, we can state that DM is an important public health problem with a continuous increase, especially DM2, if the appropriate prevention and control measures are not taken (AU)

[Ambulatory blood pressure monitoring to study white coat syndrome in patients with hypertension seen in primary care]. / Estudio mediante monitorización ambulatoria de la presión arterial del efecto de bata blanca en hipertensos tratados y controlados en atención primaria.

INTRODUCTION AND OBJECTIVES: The white coat phenomenon is said to occur when the difference between systolic/diastolic blood pressure measured during visits to the doctor's office and in ambulatory recordings is greater than 20/10. These absolute differences, known as the white coat effect, may lead to normotensive patients being classified as having white coat hypertension (WCH). We used ambulatory blood pressure monitoring (ABPM) to monitor the prevalence and response (white coat effect, white coat hypertension or white coat phenomenon) in patients during pharmacological treatment for grade 1 or 2 hypertension, and 4 weeks after treatment was suspended under medical supervision. PATIENTS AND METHOD: Ambulatory blood pressure monitoring was used in 70 patients with hypertension that was well controlled with treatment. Blood pressure was recorded during treatment (phase 1) and 4 weeks after treatment was stopped (phase 2). RESULTS: 18 (26%) of the 70 patients did not participate in phase 2 because when medication was withdrawn, their blood pressure values became unacceptable and it was necessary to restart treatment. The white coat effect was significantly stronger in phase 1, and the prevalence of white coat phenomenon and white coat hypertension did not differ significantly between phases. At the end of phase 2 the prevalence of white coat hypertension was 33%. CONCLUSIONS: Withdrawal of antihypertensive medication in patients with well controlled grade 1 or grade 2 hypertension did not significantly modify the prevalence of white coat phenomenon or white coat hypertension. The white coat effect was greater while patients were on pharmacological treatment. One third of our patients were considered to have been mistakenly diagnosed as having hypertension.