Analysis of the relationship between treatment networks and the evolution of patients with Type 2 Diabetes Mellitus.

Type 2 Diabetes Mellitus (T2DM) is a chronic disease that has been increasing in prevalence in recent years and that can cause severe complications. To ensure patient care is administered correctly, it is necessary for medical treatment teams to be both multidisciplinary and cohesive. The analysis of health processes is a constant challenge due to their high variability and complexity.

[Perceptions and attitudes of Chilean primary care physicians toward clinical practice guidelines].

Background: Clinical practice guidelines (CPGs) promote better quality and equity in health care and potentially they could improve patients' outcomes. However, their implementation is hindered by a number of factors including some related to health care professionals.

Aim: To assess the perceptions and attitudes of primary care physicians regarding CPGs developed by the Chilean Ministry of Health in the context of the Health Sector Reform.

Team Collaboration Networks and Multidisciplinarity in Diabetes Care: Implications for Patient Outcomes.

Prevalence of type 2 diabetes mellitus (T2DM) has almost doubled in recent decades and commonly presents comorbidities and complications. T2DM is a multisystemic disease, requiring multidisciplinary treatment provided by teams working in a coordinated and collaborative manner. The application of social network analysis techniques in the healthcare domain has allowed researchers to analyze interaction between professionals and their roles inside care teams.

Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining.

Background: Public health in several countries is characterized by a shortage of professionals and a lack of economic resources. Monitoring and redesigning processes can foster the success of health care institutions, enabling them to provide a quality service while simultaneously reducing costs. Process mining, a discipline that extracts knowledge from information system data to analyze operational processes, affords an opportunity to understand health care processes.

[Sick leaves motivated by severe diseases of children of less than one year of age].

Background: The increase in expenses of the health care system caused by sick leaves, especially those granted to mothers with children of less than one year of age with severe diseases, is a topic of concern.

Aim: To describe the rates of sick leaves granted to mothers with children of less than one year of age with severe diseases from 2004 to 2008.

Material And Methods: Analysis of databases containing information about sick leaves coming from Chilean public and private health care subsystems.