Prevalence of rheumatic diseases in Baix Empordà.

BACKGROUND: In Spain, the prevalence of different rheumatic diseases is known mainly through the EPISER studies coordinated by the Spanish Society of Rheumatology and based on surveys in a population sample. The aim of our study is to describe the prevalence in 2016 of different rheumatic diseases in the population residing in Baix Empordà according to healthcare coding records. MATERIALS AND METHODS: Observational, descriptive and cross-sectional study carried out on the population attended from 2016 to 2017 in SIBBE (Serveis de Salut Integrats del Baix Empordà), an organizational service that includes all the healthcare facilities in the Baix Empordà area with a unique information system. Patients ≥ 20 years of age were selected and the ICD9-CM coding of all their healthcare contacts was analysed according to 11 entities and 28 diseases. The entities were: polyarthritis, spondyloarthritis, microcrystalline arthritis, osteoarthritis, soft tissue rheumatism, fibromyalgia, chronic spinal pain, osteoporosis, connective tissue diseases, vasculitis and others. The studied population was assigned to the categories: "with rheumatic disease", "possible rheumatic disease" and "without rheumatic disease". RESULTS: In total, 71,785 patients were distributed as: 36.2% "with rheumatic disease (n = 25,990); 6.1% with "possible rheumatic disease" (n = 4406) and 57.7% "without rheumatic disease" (n = 41,389). The group "with rheumatic disease" showed a predominance of women (59.7% vs. 44.9%) and older age (59.1 ±â€¯17.7 vs. 45.1 ±â€¯16.2; p < .001) compared to the group "without rheumatic disease". The presence of rheumatic disease increased progressively with age, being maximum in the group between 55-75 years. CONCLUSIONS: 36.2% of our population has some type of rheumatic disease. The estimated prevalence of some rheumatic diseases in the Baix Empordà population is partially consistent with that estimated by the EPISER 2016 study. Rheumatic disease affects women in a greater proportion and is more frequent in patients over 45 years of age.

[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.

[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.

[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.