[A computerised clinical decision-support system for the management of depression in Primary Care]. / Un sistema informatizado de apoyo a las decisiones clínicas para el manejo de la depresión en atención primaria.

Despite its clinical relevance and its importance as a public health problem, there are major gaps in the management of depression. Evidence-based clinical guidelines are useful to improve processes and clinical outcomes. In order to make their implementation easier these guidelines have been transformed into computerised clinical decision support systems. In this article, a description is presented on the basics and characteristics of a new computerised clinical guideline for the management of major depression, developed in the public health system in Catalonia. This tool helps the clinician to establish reliable and accurate diagnoses of depression, to choose the best treatment a priori according to the disease and the patient characteristics. It also emphasises the importance of systematic monitoring to assess the clinical course, and to adjust therapeutic interventions to the patient's needs at all times.

Impact of implementing electronic clinical practice guidelines for the diagnosis, control and treatment of cardiovascular risk factors: A pre-post controlled study.

OBJECTIVE: To evaluate the impact of computerized clinical practice guidelines on the management, diagnosis, treatment, control, and follow-up of the main cardiovascular risk factors: hypertension, hypercholesterolaemia, and type 2 diabetes mellitus. DESIGN: Pre-post controlled study. SETTING: Catalonia, autonomous community located in north-eastern Spain. PARTICIPANTS: Individuals aged 35-74 years assigned to general practitioners of the Catalan Health Institute. INTERVENTION: The intervention group consisted of individuals whose general practitioners had accessed the computerized clinical practice guidelines at least twice a day, while the control group consisted of individuals whose general practitioner had never accessed the computerized clinical practice guidelines platform. MAIN OUTCOMES: The Chi-squared test was used to detect significant differences in the follow-up, control, and treatment variables for all three disorders (hypertension, hypercholesterolaemia, and type 2 diabetes mellitus) between individuals assigned to users and non-users of the computerized clinical practice guidelines, respectively. RESULTS: A total of 189,067 patients were included in this study, with a mean age of 56 years (standard deviation 12), and 55.5% of whom were women. Significant differences were observed in hypertension management, treatment and control; type 2 diabetes mellitus management, treatment and diagnoses, and the management and control of hypercholesterolaemia in both sexes. CONCLUSIONS: Computerized clinical practice guidelines are an effective tool for the control and follow-up of patients diagnosed with hypertension, type 2 diabetes mellitus, and hypercholesterolaemia. The usefulness of computerized clinical practice guidelines to diagnose and adequately treat individuals with these disorders remains unclear.

Population prevalence and control of cardiovascular risk factors: what electronic medical records tell us.

OBJECTIVE: To analyze the prevalence, control, and management of hypertension, hypercholesterolemia, and diabetes mellitus type 2 (DM2). DESIGN: Cross-sectional analysis of all individuals attended in the Catalan primary care centers between 2006 and 2009. LOCATION: History of cardiovascular diseases, diagnosis and treatment of hypertension, hypercholesterolemia, DM2, lipid profile, glycemia and blood pressure data were extracted from electronic medical records. Age-standardized prevalence and levels of management and control were estimated. PARTICIPANTS: Individuals aged 35-74 years using primary care databases. MAIN MEASURES: A total of 2,174,515 individuals were included (mean age 52 years [SD 11], 47% men). RESULTS: Hypertension was the most prevalent cardiovascular risk factor (39% in women, 41% in men) followed by hypercholesterolemia (38% and 40%) and DM2 (12% and 16%), respectively. Diuretics and angiotensin-converting enzyme inhibitors were most often prescribed for hypertension control (<140/90mmHg, achieved in 68% of men and 60% of women treated). Hypercholesterolemia was controlled (low-density lipoprotein cholesterol <130mg/dl) in just 31% of men and 26% of women with no history of cardiovascular disease, despite lipid-lowering treatment, primarily (90%) with statins. The percentage of women and men with DM2 and with glycated hemoglobin <7% was 64.7% and 59.2%, respectively; treatment was predominantly with oral hypoglycemic agents alone (70%), or combined with insulin (15%). CONCLUSIONS: Hypertension was the most prevalent cardiovascular risk factor in the Catalan population attended at primary care centers. About two thirds of individuals with hypertension or DM2 were adequately controlled; hypercholesterolemia control was particularly low.

Impact of the implementation of electronic guidelines for cardiovascular prevention in primary care: study protocol.

BACKGROUND: The electronic medical records software of the Catalan Institute of Health has recently incorporated an electronic version of clinical practice guidelines (e-CPGs). This study aims to assess the impact of the implementation of e-CPGs on the diagnosis, treatment, control and management of hypercholesterolaemia, diabetes mellitus type 2 and hypertension. METHODS: Eligible study participants are those aged 35-74 years assigned to family practitioners (FPs) of the Catalan Institute of Health. Routinely collected data from electronic primary care registries covering 80% of the Catalan population will be analysed using two approaches: (1) a cross-sectional study to describe the characteristics of the sample before e-CPG implementation; (2) a controlled before-and-after study with 1-year follow-up to ascertain the effect of e-CPG implementation. Patients of FPs who regularly use the e-CPGs will constitute the intervention group; the control group will comprise patients assigned to FPs not regularly using the e-CPG. The outcomes are: (1) suspected and confirmed diagnoses, (2) control of clinical variables, (3) requests for tests and (4) proportions of patients with adequate drug prescriptions. RESULTS: This protocol should represent a reproducible process to assess the impact of the implementation of e-CPGs. We anticipate reporting results in late 2013. CONCLUSION: This project will assess the effectiveness of e-CPGs to improve clinical decisions and healthcare procedures in the three disorders analysed. The results will shed light on the use of evidence-based medicine to improve clinical practice of FPs.

Validity of an adaptation of the Framingham cardiovascular risk function: the VERIFICA Study.

BACKGROUND: To assess the reliability and accuracy of the Framingham coronary heart disease (CHD) risk function adapted by the Registre Gironí del Cor (REGICOR) investigators in Spain. METHODS: A 5-year follow-up study was completed in 5732 participants aged 35-74 years. The adaptation consisted of using in the function the average population risk factor prevalence and the cumulative incidence observed in Spain instead of those from Framingham in a Cox proportional hazards model. Reliability and accuracy in estimating the observed cumulative incidence were tested with the area under the curve comparison and goodness-of-fit test, respectively. RESULTS: The Kaplan-Meier CHD cumulative incidence during the follow-up was 4.0% in men and 1.7% in women. The original Framingham function and the REGICOR adapted estimates were 10.4% and 4.8%, and 3.6% and 2.0%, respectively. The REGICOR-adapted function's estimate did not differ from the observed cumulated incidence (goodness of fit in men, p = 0.078, in women, p = 0.256), whereas all the original Framingham function estimates differed significantly (p<0.001). Reliabilities of the original Framingham function and of the best Cox model fit with the study data were similar in men (area under the receiver operator characteristic curve 0.68 and 0.69, respectively, p = 0.273), whereas the best Cox model fitted better in women (0.73 and 0.81, respectively, p<0.001). CONCLUSION: The Framingham function adapted to local population characteristics accurately and reliably predicted the 5-year CHD risk for patients aged 35-74 years, in contrast with the original function, which consistently overestimated the actual risk.

[Estimating cardiovascular risk in Spain using different algorithms]. / Rendimiento de la estimación del riesgo cardiovascular en España mediante la utilización de distintas funciones.

INTRODUCTION AND OBJECTIVES: Although its incidence is low, cardiovascular disease is the most common cause of morbidity and mortality in Spain. A number of different algorithms can be used to calculate cardiovascular disease risk for primary prevention, but their ability to identify patients who will experience a cardiovascular event is not well understood. The objective of this study was to compare the results of using the original Framingham algorithm and two adaptations for low-risk countries: the REGICOR (Registre Gironí del cor) and SCORE (Systematic COronary Risk Evaluation) algorithms. METHODS: All cardiovascular events during 5-year follow-up in a cohort of patients without coronary disease in nine autonomous Spanish regions were recorded. The levels of different cardiovascular risk factors were measured between 1995 and 1998. Participants were considered high-risk if their 10-year risk was >or=20% with the Framingham algorithm, >or=10%, >or=15% or >or=20% with REGICOR, and >or=5% with SCORE. RESULTS: In total, 180 (3.1%) coronary events (112 in men and 68 in women) occurred among the 5732 (57.3% female) participants during follow-up. Of these, 43 died from cerebrovascular disease, and 24 had a non-coronary vascular event. The REGICOR algorithm had the highest positive predictive value for coronary and cardiovascular disease in all age groups. Moreover, with a 10-year risk limit of 10%, it classified less of the population aged 35-74 years as high-risk (i.e., 12.4%) than the Framingham algorithm (i.e., 22.4%). The SCORE and Framingham algorithms classified 8.4% and 16.6% of the population aged 35-64 years, respectively, as having a high cardiovascular disease risk; with REGICOR, the figure was 7.5%. CONCLUSIONS: The REGICOR adapted algorithm was the best predictor of cardiovascular events and classified a smaller proportion of the Spanish population aged 35-74 years as high risk than alternative algorithms.