Israel Medical Association Journal

A rise in the incidence of chronic health conditions, notably heart failure, is expected due to demographic shifts. Such an increase places an onerous burden on healthcare infrastructures, with recurring hospital admissions and heightened mortality rates being prominent factors. Efficient chronic disease management hinges on regular ambulatory care and preemptive action. The application of intelligent computational models is showing promise as a key resource in the ongoing management of chronic diseases, particularly in forecasting disease trajectory and informing timely interventions. In this review, we explored a pioneering intelligent computational model by Diagnostic Robotics, an Israeli start-up company. This model uses data sourced from insurance claims to forecast the progression of heart failure. The goal of the model is to identify individuals at increased risk for heart failure, thus enabling interventions to be initiated early, mitigating the risk of disease worsening, and relieving the pressure on healthcare facilities, which will result in economic efficiencies.

Background: Physical inactivity is a pivotal factor in the development and progression of various chronic diseases. However, most fitness facilities exclude unhealthy individuals. Therefore, an exercise program that admits such patients is imperative.

Objectives: To evaluate the effectiveness of a fitness facility that admits adult subjects with multiple chronic diseases.

Methods: We conducted a retrospective screening of patient records from the Medical Fitness Facility at Meir Medical Center, Israel. Intake of subjects was done by a multidisciplinary team. For each individual, personalized diet and exercise plans were developed and patients attended the facility twice a week. Each participant was evaluated at enrolment and after 4 months for well-being, metabolic parameters, exercise capacity, and laboratory blood tests.

Results: A total of 838 individuals were enrolled, mean age 57 years. Their medical conditions included dyslipidemia (48.8%), hypertension (37.6%), and diabetes mellitus (24.9%), followed by musculoskeletal problems (arthropathy 19%, lower back pain 16.1%) and ischemic heart disease (13.4%). Less common diagnoses were vascular diseases, pulmonary diseases, and malignancy. Only 40.5% of participants adhered to the regimen with advanced age being the best predictor for adherence. At the follow-up visit, body mass index was lower (31.2 vs. 30.2 kg/m², P <0.0001), exercise capacity increased (measured as maximal MET; 7.1 vs. 8.1, P < 0.0001), and well-being improved (measured by Short Form Survey [SF-36]; 69.3 vs. 76.0, P <0.0001).

Conclusions: We show that a fitness program for patients with multiple chronic diseases is feasible and effective in improving prognostic parameters, albeit significantly challenged by adherence limitations.

Background: Knowledge of the prevalence of chronic disease in the population is essential for health planners and providers.

Objectives:To present the results of a concentrated effort by the largest health maintenance organization in Israel (Clalit Health Services) in order to develop a comprehensive register of chronic diseases.

Methods: In 1998, all 2,704 primary care physicians in Israel’s largest health provider were requested to report on all patients with selected chronic diseases. In addition, all the filled prescriptions for medications relevant to the investigated diseases and all relevant hospitalization events were added to the database. Prevalence rates were calculated based on the reporting practices only (1,653 physicians responsible for a total of 1,409,725 adults).

Results: Hypertension (10.2/100), diabetes (6.1/100), hyperlipidemia (5.7/100), peptic ulcer (4.7/100) and ischemic heart disease (4.3/100) were the most prevalent. Females had significantly higher rates of hypothyroidism, psychoses, neu­roses and malignancies, and lower rates of ischemic heart disease, chronic obstructive pulmonary disease, heart failure and asthma. Arabs had higher rates of diabetes mellitus and lower rates of ischemic heart disease, hypertension and hyperlipidemia than Jews. About 20% of the adult population had one or more of the selected chronic diseases.

Conclusions: Differences in rates noted between physi­cians, not explainable by population characteristics, may reflect differences in the quality and delivery of health services. Rate differences between demographic subgroups call for further studies on the etiology, susceptibility and natural history of these diseases.