Publications by authors named "Ilan Gofer"
Objective: To determine whether data-driven family histories (DDFH) derived from linked EHRs of patients and their parents can improve prediction of patients' 10-year risk of diabetes and atherosclerotic cardiovascular disease (ASCVD).
Materials And Methods: A retrospective cohort study using data from Israel's largest healthcare organization. A random sample of 200 000 subjects aged 40-60 years on the index date (January 1, 2010) was included.
Aims: The Choosing Wisely Campaign identifies procedures and treatments that lack clinical justification for routine use according to expert opinion and evidence-based medicine. This study describes the rates and features of two such examples over a 10-year period.
Methods: This is a cross-sectional rolling cohort study between 2008 and 2017 in Clalit Health Services, the largest healthcare delivery system in Israel, with seven main hospitals and over 4.
Objectives: This study assessed rates of ambulatory care-sensitive condition (ACSC) admissions within a healthcare system to identify areas for intervention.
Study Design: This was a multiyear cross-sectional study using the data warehouse of Clalit Health Services (Clalit), the largest payer/provider healthcare system in Israel, with complete clinical records for more than 4 million members. All admissions from 2009 to 2014 were included in the study.
Background: In order to examine the potential clinical value of integrating family history information directly from the electronic health records of patients' family members, the electronic health records of individuals in Clalit Health Services, the largest payer/provider in Israel, were linked with the records of their parents.
Methods: We describe the results of a novel approach for creating data-derived family history information for 2 599 575 individuals, focusing on three chronic diseases: asthma, cardiovascular disease (CVD) and diabetes.
Results: In our cohort, there were 256 598 patients with asthma, 55 309 patients with CVD and 66 324 patients with diabetes.
Currently, clinicians rely mostly on population-level treatment effects from RCTs, usually considering the treatment's benefits. This study proposes a process, focused on practical usability, for translating RCT data into personalized treatment recommendations that weighs benefits against harms and integrates subjective perceptions of relative severity. Intensive blood pressure treatment (IBPT) was selected as the test case to demonstrate the suggested process, which was divided into three phases: (1) Prediction models were developed using the Systolic Blood-Pressure Intervention Trial (SPRINT) data for benefits and adverse events of IBPT.
View Article and Find Full Text PDFBackground: The Study of Healthcare Personnel with Influenza and other Respiratory Viruses in Israel (SHIRI) prospectively follows a cohort of healthcare personnel (HCP) in two hospitals in Israel. SHIRI will describe the frequency of influenza virus infections among HCP, identify predictors of vaccine acceptance, examine how repeated influenza vaccination may modify immunogenicity, and evaluate influenza vaccine effectiveness in preventing influenza illness and missed work.
Methods: Cohort enrollment began in October, 2016; a second year of the study and a second wave of cohort enrollment began in June 2017.
Importance: Bariatric surgery is an effective and safe approach for weight loss and short-term improvement in metabolic disorders such as diabetes. However, studies have been limited in most settings by lack of a nonsurgical group, losses to follow-up, missing data, and small sample sizes in clinical trials and observational studies.
Objective: To assess the association of 3 common types of bariatric surgery compared with nonsurgical treatment with mortality and other clinical outcomes among obese patients.