Publications by authors named "Rina Yahalom"

Aim: This study explores the potential benefit of combining clinicians' risk assessments and the automated 30-day readmission prediction model.

Background: Automated readmission prediction models based on electronic health records are increasingly applied as part of prevention efforts, but their accuracy is moderate.

Methods: This prospective multisource study was based on self-reported surveys of clinicians and data from electronic health records.

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To investigate if patients treated with oral anticoagulants (OAC) have delayed surgical intervention (more than 48 h) compared to patients without OAC therapy, and if there is an impact to surgery timing on hospitalization length and mortality. A retrospective cohort study of all patients aged over 65 registered with a new diagnosis of hip fracture who underwent surgery in one of the general hospitals run by Clalit, Israel between 01/01/2014 and 31/12/2017. Data was retrieved for patient demographics, OAC treatment, and Charlson comorbidity index.

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Background: Predictive models based on electronic health records (EHRs) are used to identify patients at high risk for 30-day hospital readmission. However, these models' ability to accurately detect who could benefit from inclusion in prevention interventions, also termed "perceived impactibility", has yet to be realized.

Objective: We aimed to explore healthcare providers' perspectives of patient characteristics associated with decisions about which patients should be referred to readmission prevention programs (RPPs) beyond the EHR preadmission readmission detection model (PREADM).

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Background: Identifying risk factors for conversion to diabetes among individuals with obesity and prediabetes is important for preventing diabetes.

Purpose: We assessed conversion rates to diabetes 5 years after three types of metabolic surgery and examined predictors of diabetes development.

Methods: We accessed data of individuals with prediabetes, defined as fasting glucose (FG) 100-125 mg/dL (5.

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Purpose: DiaRem is a clinical scoring system designed to predict diabetes remission (DR) 1-year post-Roux-en-Y gastric bypass (RYGB). We examined long-term (2- and 5-year) postoperative DR prediction by DiaRem and an advanced-DiaRem (Ad-DiaRem) score following RYGB, sleeve gastrectomy (SG), and gastric banding (GB).

Methods: We accessed data from a computerized database of persons with type 2 diabetes and BMI ≥ 30 kg/m who underwent RYGB, SG, or GB, and determined DR status 2- and 5-year postoperative according to preoperative DiaRem and the Ad-DiaRem calculated scores.

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Background: Simulation-based training improves residents' skills for end-of-life (EOL) care. In the field, staff providers play a significant role in handling those situations and in shaping practice by role modeling. We initiated an educational intervention to train healthcare providers for improved communication skills at EOL using simulation of sensitive encounters with patients and families.

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Background: Different bariatric surgeries have demonstrated different effectiveness for weight loss and glucose control in obese persons with diabetes, over a short follow-up time. The aim of this study was to compare weight loss, glucose control, and diabetes remission in individuals with type 2 diabetes, after three types of bariatric surgery: gastric banding (GB), sleeve gastrectomy (SG), and Roux-en-Y gastric bypass (RYGB), with 5 years follow-up.

Methods: A retrospective study was conducted on bariatric surgeries performed during 2002-2011 in a large nationwide healthcare organization.

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