Introduction: Inflammatory bowel diseases (IBD) are becoming a significant cause for chronic long term complex morbidity, particularly among adolescents and young adults. IBD patients require multidisciplinary management and considerable health resources. Recent advances and developments in the diagnostics and therapeutic options require identification and tight monitoring of these patients at both hospital and community level for better management and care.
View Article and Find Full Text PDFBackground And Aims: There are conflicting data on the association between inflammatory bowel diseases [IBD] and autoimmunity disorders. The aim of this study was to explore this association including the effect of medications.
Methods: We utilized health administrative data collected by three of the four health maintenance organizations [HMOs] in Israel, covering 52% of the country's population.
Background: Before embarking on administrative research, validated case ascertainment algorithms must be developed. We aimed at developing algorithms for identifying inflammatory bowel disease (IBD) patients, date of disease onset, and IBD type (Crohn's disease [CD] vs ulcerative colitis [UC]) in the databases of the four Israeli Health Maintenance Organizations (HMOs) covering 98% of the population.
Methods: Algorithms were developed on 5,131 IBD patients and 2,072 controls, following independent chart review (60% CD and 39% UC).
Purpose: To describe treatment patterns, adherence, and persistence with initial therapy among glaucoma patients in the community.
Materials And Methods: A population-based historical prospective cohort study, using the electronic medical databases of Maccabi Healthcare Services, a 2 million member health maintenance organization in Israel. Newly diagnosed glaucoma patients between 2003 and 2010, who purchased at least 1 antiglaucoma medication, were followed up to December 31, 2012.
Purpose: To investigate the prevalence and incidence of glaucoma in a large health maintenance organization (HMO) in Israel.
Design: A population-based retrospective cohort study, conducted using electronic medical database.
Methods: Collected data included personal and medical characteristics.