Bonaventura Bolíbar

Control of Glycemia and Cardiovascular Risk Factors in Patients With Type 2 Diabetes in Primary Care in Catalonia (Spain)

OBJECTIVE The objective of this study was to analyze the clinical characteristics and levels of glycemic and cardiovascular risk factor control in patients with type 2 diabetes that are in primary health care centers in Catalonia (Spain). RESEARCH DESIGN AND METHODS This was a cross-sectional study of a total population of 3,755,038 individuals aged 31–90 years at the end of 2009. Clinical data were obtained retrospectively from electronic clinical records. RESULTS A total of 286,791 patients with type 2 diabetes were identified (7.6%). Fifty-four percent were men, mean (SD) age was 68.2 (11.4) years, and mean duration of disease was 6.5 (5.1) years. The mean (SD) A1C value was 7.15 (1.5)%, and 56% of the patients had A1C values ≤7%. The mean (SD) blood pressure (BP) values were 137.2 (13.8)/76.4 (8.3) mmHg, mean total cholesterol concentration was 192 (38.6) mg/dL, mean HDL cholesterol concentration was 49.3 (13.2) mg/dL, mean LDL cholesterol (LDL-C) concentration was 112.5 (32.4) mg/dL, and mean BMI was 29.6 (5) kg/m2. Thirty-one percent of the patients had BP values ≤130/80 mmHg, 37.9% had LDL-C values ≤100 mg/dL, and 45.4% had BMI values ≤30 kg/m2. Twenty-two percent were managed exclusively with lifestyle changes. Regarding medicated diabetic patients, 46.9, 22.9, and 2.8% were prescribed one, two, or three antidiabetic drugs, respectively, and 23.4% received insulin therapy. CONCLUSIONS The results from this study indicate a similar or improved control of glycemia, lipids, and BP in patients with type 2 diabetes when compared with previous studies performed in Spain and elsewhere.

Base de datos SIDIAP, la historia clínica informatizada de Atención Primaria como fuente de información para la investigación epidemiológica

a Institut Universitari d’Investigació en Atenció Primària (IDIAP) Jordi Gol, Barcelona, España b Universitat Autònoma de Barcelona, Bellaterra, Barcelona, España c Institut Català de la Salut, Barcelona, España d Facultad de Medicina, Universitat de Girona, Girona, España e Institut d’Investigació Biomèdica de Girona (IdIBGi), Girona, España f Unitat de Recerca en Fisiopatologia Òssia i Articular (URFOA), Institut Municipal d’Investigació Mèdica (IMIM)-Hospital del Mar), Barcelona, España

Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity

BackgroundHealth surveys (HS) are a well-established methodology for measuring the health status of a population. The relative merit of using information based on HS versus electronic health records (EHR) to measure multimorbidity has not been established. Our study had two objectives: 1) to measure and compare the prevalence and distribution of multimorbidity in HS and EHR data, and 2) to test specific hypotheses about potential differences between HS and EHR reporting of diseases with a symptoms-based diagnosis and those requiring diagnostic testing.MethodsCross-sectional study using data from a periodic HS conducted by the Catalan government and from EHR covering 80% of the Catalan population aged 15 years and older. We determined the prevalence of 27 selected health conditions in both data sources, calculated the prevalence and distribution of multimorbidity (defined as the presence of ≥2 of the selected conditions), and determined multimorbidity patterns. We tested two hypotheses: a) health conditions requiring diagnostic tests for their diagnosis and management would be more prevalent in the EHR; and b) symptoms-based health problems would be more prevalent in the HS data.ResultsWe analysed 15,926 HS interviews and 1,597,258 EHRs. The profile of the EHR sample was 52% women, average age 47 years (standard deviation: 18.8), and 68% having at least one of the selected health conditions, the 3 most prevalent being hypertension (20%), depression or anxiety (16%) and mental disorders (15%). Multimorbidity was higher in HS than in EHR data (60% vs. 43%, respectively, for ages 15-75+, P <0.001, and 91% vs. 83% in participants aged ≥65 years, P <0.001). The most prevalent multimorbidity cluster was cardiovascular. Circulation disorders (other than varicose veins), chronic allergies, neck pain, haemorrhoids, migraine or frequent headaches and chronic constipation were more prevalent in the HS. Most symptomatic conditions (71%) had a higher prevalence in the HS, while less than a third of conditions requiring diagnostic tests were more prevalent in EHR.ConclusionsPrevalence of multimorbidity varies depending on age and the source of information. The prevalence of self-reported multimorbidity was significantly higher in HS data among younger patients; prevalence was similar in both data sources for elderly patients. Self-report appears to be more sensitive to identifying symptoms-based conditions. A comprehensive approach to the study of multimorbidity should take into account the patient perspective.

Validez del Sistema de Información para el Desarrollo de la Investigación en Atención Primaria (SIDIAP) en el estudio de enfermedades vasculares: estudio EMMA

INTRODUCTION AND OBJECTIVES Information in primary care databases can be useful in research, but the validity of these data needs to be evaluated. We sought to analyze the validity of the data used in the EMMA study based on data from the Information System for the Development of Research in Primary Care. METHODS We compared the prevalence of cardiovascular risk factors observed in EMMA-hypertension, diabetes, hypercholesterolemia (and its treatments), obesity, and smoking-with equivalent data from the Registre Gironí del Cor (REGICOR), a population-based study that uses standardized methodology, in 2000. We also compared the incidence rates of vascular diseases and its association with these risk factors in a 5-year follow-up. RESULTS We analyzed data from 34 823 participants included in EMMA and 2540 REGICOR2000 study participants aged 35 to 74. The prevalence of risk factors did not differ significantly between the 2 studies, except for the prevalence of former smokers in men, which was higher in REGICOR2000 (24.7% [95% confidence interval, 23.9%-25.5%] vs 30.1% [95% confidence interval, 27.1%-33.1%]), and the proportion of patients with lipid-lowering and antihypertensive therapy, which was higher in EMMA (46.9% vs 32.7% and 8.7% vs 6.3%, respectively). There were no differences between the 2 studies when comparing the incidence of vascular diseases (2.1% in both studies in men and 1.18% [95% confidence interval, 0.7%-1.7%] in REGICOR2000 vs 0.75% [95% confidence interval, 0.64%-0.87%] in EMMA in women) and its association with risk factors. CONCLUSIONS The prevalence of cardiovascular risk factors and their association with the incidence of vascular disease observed in the EMMA study are consistent with those observed in an epidemiological population-based study with a standardized methodology.

Socio-economic status and the risk of developing hand, hip or knee osteoarthritis: a region-wide ecological study.

OBJECTIVE To determine the association between socio-economic status (SES) and risk of hand, hip or knee osteoarthritis (OA) at a population level. DESIGN Retrospective ecological study using the System for the Development of Research in Primary Care (SIDIAP) database (primary care anonymized records for >5 million people in Catalonia (Spain)). Urban residents >15 years old (2009-2012) were eligible. OUTCOMES Validated area-based SES deprivation index MEDEA (proportion of unemployed, temporary workers, manual workers, low educational attainment and low educational attainment among youngsters) was estimated for each area based on census data as well as incident diagnoses (ICD-10 codes) of hand, hip or knee OA (2009-2012). Zero-inflated Poisson models were fitted to study the association between MEDEA quintiles and the outcomes. RESULTS Compared to the least deprived, the most deprived areas were younger (43.29 (17.59) vs 46.83 (18.49), years (Mean SD), had fewer women (49.1% vs 54.8%), a higher percentage of obese (16.2% vs 8.4%), smokers (16.9% vs 11.9%) and high-risk alcohol consumption subjects (1.5% vs 1.3%). Compared to the least deprived, the most deprived areas had an excess risk of OA: age-sex-adjusted Incidence Rate Ratio (IRR) 1.26 (1.11-1.42) for hand, 1.23 (1.17-1.29) hip, and 1.51 (1.45-1.57) knee. Adjustment for obesity attenuated this association: 1.06 (0.93-1.20), 1.04 (0.99-1.09), and 1.23 (1.19-1.28) respectively. CONCLUSIONS Deprived areas have higher rates OA (hand, hip, knee). Their increased prevalence of obesity accounts for a 50% of the excess risk of knee OA observed. Public health interventions to reduce the prevalence of obesity in this population could reduce health inequalities.

Treatment of Hyperglycaemia in Type 2 Diabetic Patients in a Primary Care Population Database in a Mediterranean Area (Catalonia, Spain)

Aim: To analyse glycaemic control and antihyperglycaemic treatment in patients with varying duration of type 2 diabetes in a population-based database. Methods: A cross-sectional survey of 286,791 patients with type 2 diabetes registered in the primary care centres of the Catalan Health Institute (Catalonia, Spain) in 2009. We analysed the effects of types of treatment, diabetes duration and renal function on glycaemic control, adjusting for other clinical variables. Results: Twenty-four percent of patients were treated with lifestyle changes only, 35.5% with oral glucoselowering monotherapy, 21% with oral combinations and 17.7% with insulin (alone or in combination). Insulin was more frequently used in patients with longer duration of diabetes or severe renal impairment. Fifty-six percent of patients achieved the optimal target of HbA1c ≤ 7% (≤ 53 mmol/mol), a result more frequently observed in patients older than 65, early in the course of the disease and at the lower steps of treatment (p<0.001). Impaired renal function was present in 18.4% of patients. A significant number of patients with severe renal impairment were taking metformin (16.2%) or sulfonylureas (12.1%), which are contraindicated at this stage. Multivariable analyses confirmed that lower steps of treatment, advanced age and lesser years of diabetes duration were the variables positively related to good glycaemic control. Conclusions: Glycaemic control deteriorates with the progression of the disease despite the treatment intensification. Impaired renal function was frequent and a remarkable proportion of these patients were taking contraindicated drugs.

Gender differences in sexual risk behaviour among adolescents in Catalonia, Spain

OBJECTIVE To analyze the factors associated with sexual risk behavior in adolescent girls and boys in order to plan future school health interventions. METHODS A cross-sectional study with two-stage cluster sampling that included 97 schools and 9,340 students aged between 14 and 16 years old was carried out in 2005-2006 in Catalonia (Spain). For the survey, a self-administered paper-based questionnaire was used. The questionnaire contained items on sociodemographic variables, use of addictive substances and mood states, among other items. These variables were tested as risk factors for unsafe sexual behavior. RESULTS This study included 4,653 boys and 4,687 girls with a mean age of 15 years. A total of 38.7% of students had had sexual relations at least once and 82.3% of boys and 63.0% of girls were engaged in sexual risk behaviors. The prevalence of sexual relations and risk behaviors was generally higher in boys than in girls, independently of the variables analyzed. Boys had more sexual partners (P<.001) and used condoms as a contraceptive method less frequently than girls (P<.001). Foreign origin was related to unsafe sexual activity in both genders. Alcohol consumption was also a risk factor in boys. CONCLUSIONS Sexual risk behaviors among adolescents in Catalonia are higher in boys than in girls. Factors related to unsafe sexual activity in boys were foreign origin and alcohol consumption. In girls only foreign origin was a significant risk factor.

Rationale and design of the PREDICE project: cost-effectiveness of type 2 diabetes prevention among high-risk Spanish individuals following lifestyle intervention in real-life primary care setting

BackgroundType 2 diabetes is an important preventable disease and a growing public health problem. Based on information provided by clinical trials, we know that Type 2 diabetes can be prevented or delayed by lifestyle intervention. In view of translating the findings of diabetes prevention research into real-life it is necessary to carry out community-based evaluations so as to learn about the feasibility and effectiveness of locally designed and implemented programmes. The aim of this project was to assess the effectiveness of an active real-life primary care strategy in high-risk individuals for developing diabetes, and then evaluate its efficiency.Methods/DesignCost-Effectiveness analysis of the DE-PLAN (Diabetes in Europe - Prevention using Lifestyle, physical Activity and Nutritional intervention) project when applied to a Mediterranean population in Catalonia (DE-PLAN-CAT). Multicenter, longitudinal cohort assessment (4 years) conducted in 18 primary health-care centres (Catalan Health Institute). Individuals without diabetes aged 45-75 years were screened using the Finnish Diabetes Risk Score - FINDRISC - questionnaire and a 2-h oral glucose tolerance test. All high risk tested individuals were invited to participate in either a usual care intervention (information on diet and cardiovascular health without individualized programme), or the intensive DE-PLAN educational program (individualized or group) periodically reinforced. Oral glucose tolerance test was repeated yearly to determine diabetes incidence. Besides measuring the accumulated incidence of diabetes, information was collected on economic impact of the interventions in both cohorts (using direct and indirect cost questionnaires) and information on utility measures (Quality Adjusted Life Years). A cost-utility and a cost-effectiveness analysis will be performed and data will be modelled to predict long-term cost-effectiveness.DiscussionThe project was intended to evidence that a substantial reduction in Type 2 diabetes incidence can be obtained at a reasonable cost-effectiveness ratio in real-life primary health care setting by an intensive lifestyle intervention. As far as we know, the DE-PLAN-CAT/PREDICE project represents the first assessment of long-term effectiveness and cost-effectiveness of a public healthcare strategy to prevent diabetes within a European primary care setting.

Patterns of statin use and cholesterol goal attainment in a high-risk cardiovascular population: A retrospective study of primary care electronic medical records

OBJECTIVE To describe real-life patterns of statin use and cholesterol goal attainment in a retrospective cohort of patients with high cardiovascular risk. METHODS Retrospective cohort study of 21,636 individuals, 18.34% women, mean age 63.30 years (standard deviation 6.29). New statin users aged 35 to 74 years at high cardiovascular risk and with no previous cardiovascular disease in primary care electronic medical records (2006-2011). Patterns of statin use were based on statin type, potency, and 1-year statin switches. OUTCOMES Relative mean reductions over 1 year and probability of goal attainment (<3.3 mmol/L). Natural patterns of statin use were identified using multiple correspondence analysis; general linear and logistic models were used to estimate low-density lipoprotein cholesterol (LDL-C) reductions and goal attainment probability. RESULTS Three patterns of statin use were defined: low (3.82% of the population), moderate (71.94%), and high intensity (24.24%). After 1 year, potency decreased 42.74%, 64.16%, and 50.94%, respectively, and 37.41%, 29.47%, and 30.16% of the population stopped taking statins in low, moderate, and high patterns, respectively. Relative reductions in LDL-C: low intensity, 15.7% (95% confidence interval [CI]: -22.96 to 54.36); moderate intensity, 29.72% (95% CI: 29.12-30.32); and high intensity, 24.20% (95% CI: -8.08 to 40.32). There was a direct relationship between higher intensity patterns and greater probability of goal attainment. CONCLUSIONS Three real-life patterns of statin use were identified. Lipid management strategies in primary care should focus on improving adherence to treatment. People starting at low potency should switch to a moderate pattern; more intensive therapies should be considered in who require a larger LDL-C reduction to reach therapeutic targets, patients with good treatment adherence who do not achieve the goal with a moderate pattern of therapy or patients at very high risk.

Variability in the performance of preventive services and in the degree of control of identified health problems: a primary care study protocol.

BackgroundPreventive activities carried out in primary care have important variability that makes necessary to know which factors have an impact in order to establish future strategies for improvement. The present study has three objectives: 1) To describe the variability in the implementation of 7 preventive services (screening for smoking status, alcohol abuse, hypertension, hypercholesterolemia, obesity, influenza and tetanus immunization) and to determine their related factors; 2) To describe the degree of control of 5 identified health problems (smoking, alcohol abuse, hypertension, hypercholesterolemia and obesity); 3) To calculate intraclass correlation coefficients.DesignMulti-centered cross-sectional study of a randomised sample of primary health care teams from 3 regions of Spain designed to analyse variability and related factors of 7 selected preventive services in years 2006 and 2007. At the end of 2008, we will perform a cross-sectional study of a cohort of patients attended in 2006 or 2007 to asses the degree of control of 5 identified health problems. All subjects older than16 years assigned to a randomised sample of 22 computerized primary health care teams and attended during the study period are included in each region providing a sample with more than 850.000 subjects. The main outcome measures will be implementation of 7 preventive services and control of 5 identified health problems. Furthermore, there will be 3 levels of data collection: 1) Patient level (age, gender, morbidity, preventive services, attendance); 2) Health-care professional level (professional characteristics, years working at the team, workload); 3) Team level (characteristics, electronic clinical record system). Data will be transferred from electronic clinical records to a central database with prior encryption and dissociation of subject, professional and team identity. Global and regional analysis will be performed including standard analysis for primary health care teams and health-care professional level. Linear and logistic regression multilevel analysis adjusted for individual and cluster variables will also be performed. Variability in the number of preventive services implemented will be calculated with Poisson multilevel models. Team and health-care professional will be considered random effects. Intraclass correlation coefficients, standard error and variance components for the different outcome measures will be calculated.