Objective: To investigate whether individuals with an elevated BMI measurement, for whom a diagnosis of overweight or obesity (OW/OB) is not recorded, are less likely to be offered clinical care for obesity compared to those with a recorded diagnosis.
Subjects: A retrospective cohort study using the electronic medical record database of Maccabi Healthcare Services (MHS) in Israel. Included were 200,000 adults with BMI ≥ 25 kg/m measurement recorded during a primary care visit between 2014 and 2020, and no prior diagnosis of OW/OB or related co-morbidities.
Objectives: Israel is regarded as a country with a developed economy and a moderate income inequality index. In this population-based study, we aimed to measure the inequalities in colorectal cancer screening within Clalit Health, an organization with universal insurance, before and during the coronavirus disease 2019 pandemic.
Setting: Retrospective analysis within Clalit Health Services, Israel.
Background: Subjects with a positive Fecal Occult Blood Test (FOBT) that are non-compliant with colonoscopy are at increased risk for colorectal cancer (CRC). Yet, in clinical practice, many remain non-compliant.
Aims: To evaluate whether machine learning models (ML) can identify subjects with a positive FOBT predicted to be both non-compliant with colonoscopy within six months and harbor CRC (defined as the "target population").