Sex, Ethnicity, and Socioeconomic Status Affect on Israeli Pediatric Lipid Testing Despite Equality in National Healthcare Services.

BACKGROUND: In Israel, coronary heart disease mortality rates are significantly higher among the Arab population than the Jewish population. Dyslipidemia prevention should begin in childhood. OBJECTIVES: To identify sociodemographic disparities in the preventive health measurement of lipid profile testing and lipoprotein levels among Israeli children and adolescents. METHODS: A cross-sectional analysis of 1.2 million children and adolescents insured by Clalit Health Services between 2007 and 2011 was conducted using sociodemographic data and serum lipid concentrations. RESULTS: Overall, 10.1% individuals had undergone lipid testing. Those with male sex (odds ratio [OR] = 0.813, 95% confidence interval [95%CI] 0.809-0.816), Arab ethnicity (OR = 0.952, 95%CI 0.941-0.963), and low socioeconomic status (SES) (OR = 0.740, 95%CI 0.728-0.752) were less likely to be tested. By 2010, differences among economic sectors narrowed and Arab children were more likely to be tested (OR = 1.039, 95%CI 1.035-1.044). Girls had higher total cholesterol, triglyceride, low-density lipoprotein-cholesterol, and non-high-density lipoprotein-cholesterol levels compared to boys (P < 0.001). Jewish children had higher cholesterol and low-density and high-density lipoprotein-cholesterol, as well as lower triglyceride levels than Arabs (P < 0.001). Children with low SES had lower cholesterol, low-density and high-density lipoprotein-cholesterol, and non-high-density lipoprotein-cholesterol levels (P < 0.001). CONCLUSIONS: We found that boys, Arab children, and those with low SES were less likely to be tested. Over time there was a gradual reduction in these disparities. Publicly sponsored healthcare services can diminish disparities in the provision of preventive health among diverse socioeconomic groups that comprise the national population.

Evaluating an organization-wide disparity reduction program: Understanding what works for whom and why.

BACKGROUND: Disparity-reduction programs have been shown to vary in the degree to which they achieve their goal; yet the causes of these variations is rarely studied. We investigated a broad-scale program in Israel's largest health plan, aimed at reducing disparities in socially disadvantaged groups using a composite measure of seven health and health care indicators. METHODS: A realistic evaluation was conducted to evaluate the program in 26 clinics and their associated managerial levels. First, we performed interviews with key stakeholders and an ethnographic observation of a regional meeting to derive the underlying program theory. Next, semi-structured interviews with 109 clinic teams, subregional headquarters, and regional headquarters personnel were conducted. Social network analysis was performed to derive measures of team interrelations. Perceived team effectiveness (TE) and clinic characteristics were assessed to elicit contextual characteristics. Interventions implemented by clinics were identified from interviews and coded according to the mechanisms each clinic employed. Assessment of each clinic's performance on the seven-indicator composite measure was conducted at baseline and after 3 years. Finally, we reviewed different context-mechanism-outcome (CMO) configurations to understand what works to reduce disparity, and under what circumstances. RESULTS: Clinics' inner contextual characteristics varied in both network density and perceived TE. Successful CMO configurations included 1) highly dense clinic teams having high perceived TE, only a small gap to minimize, and employing a wide range of interventions; (2) clinics with a large gap to minimize with high clinic density and high perceived TE, focusing efforts on tailoring services to their enrollees; and (3) clinics having medium to low density and perceived TE, and strong middle-management support. CONCLUSIONS: Clinics that achieved disparity reduction had high clinic density, close ties with middle management, and tailored interventions to the unique needs of the populations they serve.

The relationship between health services standardized costs and mortality is non-linear: Results from a large HMO population.

Older age, male gender, and poor socioeconomic status have been found to predict mortality. Studies have also documented an elevation in health services standardized costs (HSSC) and expenditures in the last years of life. We examined the contribution of HSSC in the last years of life in predicting mortality beyond predictors that have been established in the literature, and whether the impact of HSSC on mortality is linear. Vulnerability, operationalized as being exempt from co-payments due to poverty, being a holocaust survivor, or other reasons, was examined as potentially mediating the relationship between HSSC and mortality. We used longitudinal data obtained from the largest Health Maintenance Organization in Israel. Subjects were insured persons who were over age 65 in 2006 (n=423,140). Predictors included demographics, co-morbidity, and HSSC. All factors significantly predicted time to death. For HSSC, high levels displayed the highest Hazard Ratios (HR), with medium levels having the lowest HRs. The higher mortality rate in the low HSSC group might indicate a risk of underutilizing health services. Vulnerable status remained a predictor of mortality even within a system of universal access to healthcare. There is a need for establishing mechanisms to identify those underutilizing health services. A universal health care system is insufficient for providing equal health care, indicating a need for additional means to increase equality.

Clinical Assessment of Individualized Glycemic Goals in Patients With Type 2 Diabetes: Formulation of an Algorithm Based on a Survey Among Leading Worldwide Diabetologists.

OBJECTIVE: Observations over the past few years have demonstrated the need to adjust glycemic targets based on parameters pertaining to individual patient characteristics and comorbidities. However, the weight and value given to each parameter will clearly vary depending on the experience of the provider, the characteristics of the patient, and the specific clinical situation. RESEARCH DESIGN AND METHODS: To determine if there is current consensus on a global level with regard to identifying these parameters and their relative importance, we conducted a survey among 244 key worldwide opinion-leading diabetologists. Initially, the physicians were to rank the factors they take into consideration when setting their patients' glycemic target according to their relative importance. Subsequently, six clinical vignettes were presented, and the experts were requested to suggest an appropriate glycemic target. The survey results were used to formulate an algorithm according to which an estimate of the patient's glycemic target based on individualized parameters can be computed. Three additional clinical cases were submitted to a new set of experts for validation of the algorithm. RESULTS: A total of 151 (61.9%) experts responded to the survey. The parameters "life expectancy" and "risk of hypoglycemia from treatment" were considered to be the most important. "Resources" and "disease duration" ranked the lowest. An algorithm was constructed based on survey results. It was validated by presenting three new cases to 57 leading diabetologists who suggested glycemic targets that were similar to those calculated by the algorithm. CONCLUSIONS: The resultant suggested algorithm is an additional decision-making tool offered to the clinician to supplement clinical decision making when considering a glycemic target for the individual patient with diabetes.

Sustained Reduction in Health Disparities Achieved through Targeted Quality Improvement: One-Year Follow-up on a Three-Year Intervention.

OBJECTIVE: To assess a quality improvement disparity reduction intervention and its sustainability. DATA SOURCES/STUDY SETTING: Electronic health records and Quality Index database of Clalit Health Services in Israel (2008-2012). STUDY DESIGN: Interrupted time-series with pre-, during, and postintervention disparities measurement between 55 target clinics (serving approximately 400,000 mostly low socioeconomic, minority populations) and all other (126) clinics. DATA COLLECTION/EXTRACTION METHODS: Data on a Quality Indicator Disparity Scale (QUIDS-7) of 7 indicators, and on a 61-indicator scale (QUIDS-61). PRINCIPAL FINDINGS: The gap between intervention and nonintervention clinics for QUIDS-7 decreased by 66.7 percent and by 70.4 percent for QUIDS-61. Disparity reduction continued (18.2 percent) during the follow-up period. CONCLUSIONS: Quality improvement can achieve significant reduction in disparities in a wide range of clinical domains, which can be sustained over time.

Prospective national study of the prevalence, incidence, management and outcome of a large contemporary cohort of patients with incident non-valvular atrial fibrillation.

BACKGROUND: There are few studies of atrial fibrillation (AF) outside of North America or Europe. The aim of the present study was to assess the prevalence, incidence, management and outcomes of patients with new atrial fibrillation, in a large contemporary cohort (2004-2012) of adult patients. METHODS AND RESULTS: The Clalit Health Services (CHS) computerized database of 2 420 000 adults, includes data of community clinic visits, hospital discharge records, medical diagnoses, medications, medical interventions, and laboratory test results. The prevalence of AF on January 1, 2004 was 71 644 (3%). Prevalence and incidence of AF increased with age and was higher in men versus women. During the study period (2004-2012) 98 811 patients developed new non-valvular AF (mean age -72, 50% women, 46% with cardiovascular disease, 6% with prior stroke). The rate of persistent warfarin use (dispensed for >3 months in a calendar year) was low (25.7%) and it increased with increasing stroke risk score. Individual Time in Therapeutic Range (TTR) among warfarin users was 42%. The incidence rate of ischemic stroke and death increased with age. The rate of stroke increased from 2 per 1000 person years in patients with CHA(2)DS(2)_VASC SCORE of 0, to 58 per 1000 person years in those with a score of 9. CONCLUSIONS: In the present study the prevalence and incidence of AF, stroke, and death were comparable to those reported in Europe and North America. The low use of anticoagulation calls for measures to increase adherence to current treatment recommendations in order to improve outcomes.

Seasonality of asthma: a retrospective population study.

OBJECTIVES: Seasonal variations in asthma are widely recognized, with the highest incidence during September. This retrospective population study aimed to investigate whether this holds true in a large group of asthmatic children in primary care and to assess the impact of age, gender, urban/rural living, and population sector. METHODS: The key study outcomes were the diagnosis of asthma exacerbations and asthma medication prescriptions, recorded by family physicians during 2005 to 2009. These were analyzed by "week of diagnosis" in Clalit Health Services' electronic medical record database. Regression models were built to assess relative strength of secular trends, seasonality, and age-group in explaining the incidence of asthma exacerbations. RESULTS: A total of 919,873 children aged 2 to 15 years were identified. Of these, 82,234 (8.9%) were asthmatic, 61.6% boys and 38.4% girls; 49.1% aged 2 to 5 years, 24.1% 6 to 9 years, and 26.8% 10 to 15 years. We observed a 2.01-fold increase in pediatric asthma exacerbations and 2.28-fold increase in prescriptions of asthma bronchodilator medications during September (weeks 37-39 vs weeks 34-36) compared with August. The association between the opening of school and the incidence of asthma-related visits to the primary care physician was greatest in children aged 2 to 5 years (odds ratio, 2.15) and 6 to 11 years (1.90-fold). Adolescents (age 12-15 years) had a lesser peak (1.81-fold). In late fall there was a second rise, lasting with fluctuations throughout winter, with a trough in summer. CONCLUSIONS: Returning to school after summer is strongly associated with an increased risk for asthma exacerbations and unscheduled visits to the primary care physician.