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Background: The growth of diabetes prevalence is causing an increasing demand in health care services which affects the clinicians' workload as medical resources do not grow at the same rate as the diabetic population. Decision support tools can help clinicians with the inspection of monitoring data, providing a preliminary analysis to ease their interpretation and reduce the evaluation time per patient. This paper presents Sinedie, a clinical decision support system designed to manage the treatment of patients with gestational diabetes. Sinedie aims to improve access to specialized healthcare assistance, to prevent patients from unnecessary displacements, to reduce the evaluation time per patient and to avoid gestational diabetes adverse outcomes.Methods: A web-based telemedicine platform was designed to remotely evaluate patients allowing them to upload their glycaemia data at home directly from their glucose meter, as well as report other monitoring variables like ketonuria and compliance to dietary treatment. Glycaemia values, not tagged by patients, are automatically labelled with their associated meal by a classifier based on the Expectation Maximization clustering algorithm and a C4.5 decision tree learning algorithm. Two finite automata are combined to determine the patient's metabolic condition, which is analysed by a rule-based knowledge base to generate therapy adjustment recommendations. Diet recommendations are automatically prescribed and notified to the patients, whereas recommendations about insulin requirements are notified also to the physicians, who will decide if insulin needs to be prescribed. The system provides clinicians with a view where patients are prioritized according to their metabolic condition. A randomized controlled clinical trial was designed to evaluate the effectiveness and safety of Sinedie interventions versus standard care and its impact in the professionals' workload in terms of the clinician's time required per patient; number of face-to-face visits; frequency and duration of telematics reviews; patients' compliance to self-monitoring; and patients' satisfaction.Results: Sinedie was clinically evaluated at "Parc Tauli University Hospital" in Spain during 17 months with the participation of 90 patients with gestational diabetes. Sinedie detected all situations that required a therapy adjustment and all the generated recommendations were safe. The time devoted by clinicians to patients' evaluation was reduced by 27.389% and face-to-face visits per patient were reduced by 88.556%. Patients reported to be highly satisfied with the system, considering it useful and trusting in being well controlled. There was no monitoring loss and, in average, patients measured their glycaemia 3.890 times per day and sent their monitoring data every 3.477days.Conclusions: Sinedie generates safe advice about therapy adjustments, reduces the clinicians' workload and helps physicians to identify which patients need a more urgent or more exhaustive examination and those who present good metabolic control. Additionally, Sinedie saves patients unnecessary displacements which contributes to medical centres' waiting list reduction. [ABSTRACT FROM AUTHOR]

Background Chronic patients are frequent users of healthcare services and are prone to hospital admissions. In Valencia (Spain) the Valcronic programme aims to manage chronic patients through different levels of telemonitoring and telecare. This paper examines the impact of the Valcronic programme on self-perceived HRQOL in a one-year period and on perceptions of satisfaction and usefulness in a sample of older adults with chronic diseases. Methods The sample ( n = 74) was randomly selected from Valcronic users and was stratified considering different variables. HRQOL was assessed using the EQ-5D questionnaire at two points in time: before the beginning of the Valcronic programme and after a one-year follow-up. Satisfaction and usefulness were evaluated one year after users’ inclusion. Results The whole sample experienced improvement, although not significant, of its HRQOL; patients over 75 showed impairment. Patients with at least one problem in the EQ-5D dimensions decreased after one year (82.43% vs. 74.32%). Users’ perceptions of satisfaction and usefulness were highly positive. Conclusions Our sample benefited from the Valcronic programme, experiencing an improvement in their HRQOL, a decreased use of health resources or high satisfaction levels. Implications Further adjustments are needed to address a comprehensive response to the needs of the global population of reference. [ABSTRACT FROM AUTHOR]

Abstract: Purpose: The purpose of this paper is to report and discuss a successful experience in the setting up of a telemedicine solution for remote video-electroencephalography consultation (tele-EEG) in La Rioja, Spain. The setup has been implemented between a primary hospital situated in Calahorra (Calahorra Hospital Foundation, FHC) and a secondary hospital in Logroño (San Pedro Hospital, HSP), the capital city of the region of La Rioja. Methods: During the twelve first months of the setting-up a detailed evaluation study was performed. During this period we evaluated the technical aspects of the setup and also demonstrated the clinical viability of the system. The impact on hospital organization and the impact on patients regarding the improvement in their quality of life, as well as their financial savings, were also evaluated. Results: During these twelve months a total of 259 consultations were conducted through the telemedicine system. The clinical viability study was completely successful, and technical problems were detected only during the first months of setting-up. Regarding patients’ preferences (177 completed an opinion questionnaire), 99% expressed a high degree of satisfaction with the telemedicine service. They also remarked that they preferred the telemedicine service to previous methods for the EEG test, on the grounds that it provided a significant improvement in access to specialized medical care and important financial savings in terms of travel (around 30€ per visit) and of time (approximately 2h) invested in consultations. Conclusions: After one year of evaluation, we concluded that the tele-EEG system had been successfully introduced into the clinical routine. As a matter of fact, the success of the telemedicine system has led to its widespread use and it has now replaced the conventional EEG service for FHC patients almost completely. [Copyright &y& Elsevier]