Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force.

This ISPOR Good Practices report provides a framework for assessing the suitability of electronic health records data for use in health technology assessments (HTAs). Although electronic health record (EHR) data can fill evidence gaps and improve decisions, several important limitations can affect its validity and relevance. The ISPOR framework includes 2 components: data delineation and data fitness for purpose. Data delineation provides a complete understanding of the data and an assessment of its trustworthiness by describing (1) data characteristics; (2) data provenance; and (3) data governance. Fitness for purpose comprises (1) data reliability items, ie, how accurate and complete the estimates are for answering the question at hand and (2) data relevance items, which assess how well the data are suited to answer the particular question from a decision-making perspective. The report includes a checklist specific to EHR data reporting: the ISPOR SUITABILITY Checklist. It also provides recommendations for HTA agencies and policy makers to improve the use of EHR-derived data over time. The report concludes with a discussion of limitations and future directions in the field, including the potential impact from the substantial and rapid advances in the diffusion and capabilities of large language models and generative artificial intelligence. The report's immediate audiences are HTA evidence developers and users. We anticipate that it will also be useful to other stakeholders, particularly regulators and manufacturers, in the future.

Association of opioid use disorder with healthcare utilization and cost in a public health system.

AIM: To quantify the healthcare costs associated with opioid use disorder among members in a public healthcare system and compare them with healthcare costs in the general population. DESIGN: Retrospective cohort study. SETTING: Inpatient and outpatient care settings of Israel's largest public healthcare provider (that covers 4.7 million members). PARTICIPANTS: Participants included 1173 members who had a diagnosis of opioid use disorder in the years between 2013 and 2018. Each patient was matched with 10 controls based on age and sex. MEASUREMENTS: The main outcome was monthly healthcare costs. FINDINGS: The mean monthly healthcare cost of members with opioid use disorder was $1102 compared with $211 among controls (5.2-fold difference; 95% CI, 4.6-6.0). After excluding members with heroin related diagnoses before the index date (to focus on prescription opioids), this healthcare cost ratio did not substantially change (4.6-fold; 95% CI, 3.9-5.4). Members with opioid use disorder under the age of 65 years had a cost difference of 6.1-fold (95% CI, 5.2-7.1), whereas those 65 years and older experienced cost difference of 3.4-fold (95% CI, 2.6-4.5), compared with controls. The category with the highest cost for members with opioid use disorder was inpatient services, which was 8.7-fold (95%CI, 7.2-10.4) greater than among controls. CONCLUSIONS: Healthcare costs among individuals with opioid use disorder in Israel's public health system are substantially higher than among controls, at least partially attributable to prescription opioid use disorder. Differences are greater among individuals under 65 years.

Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population-Based Study.

Background Several studies have examined hospitalizations among patients with adult congenital heart disease (ACHD). Few investigated other services or utilization patterns. Our aim was to study service utilization patterns and predictors among patients with ACHD. Methods and Results We identified 11 653 patients with ACHD aged ≥18 years (median, 47 years), through electronic records of 2 large Israeli healthcare providers (2007-2011). The association between patient, disease, and sociogeographic characteristics and healthcare resource utilization were modeled as recurrent events accounting for the competing death risk. Patients with ACHD had high healthcare utilization rates compared with the general population. The highest standardized service utilization ratios (SSRs) were found among patients with complex congenital heart disease including primary care visits (SSR, 1.53; 95% CI, 1.47-1.58), cardiology outpatient visits (SSR, 5.17; 95% CI, 4.69-5.64), hospitalizations (SSR, 6.68; 95% CI, 5.82-7.54), and days in hospital (SSR, 15.37; 95% CI, 14.61-16.12). Adjusted resource utilization hazard increased with increasing lesion complexity. Hazard ratios (HRs) for complex versus simple disease were: primary care (HR, 1.14; 95% CI, 1.06-1.23); cardiology outpatient visits (HR, 1.40; 95% CI, 1.24-1.59); emergency department visits (HR, 1.19; 95% CI, 1.02-1.39); and hospitalizations (HR, 1.75; 95% CI, 1.49-2.05). Effects attenuated with age for cardiology outpatient visits and hospitalizations and increased for emergency department visits. Female sex, geographic periphery, and ethnic minority were associated with more primary care visits, and female sex (HR versus men, 0.89 [95% CI, 0.84-0.94]) and periphery (HR, 0.72 [95% CI, 0.58-0.90] for very peripheral versus very central) were associated with fewer cardiology visits. Arab minority patients also had high hospitalization rates compared with the majority group of Jewish or other patients. Conclusions Healthcare utilization rates were high among patients with ACHD. Female sex, geographic periphery, and ethnicity were associated with less optimal service utilization patterns. Further research should examine strategies to optimize service utilization in these groups.

Addressing bias in prediction models by improving subpopulation calibration.

OBJECTIVE: To illustrate the problem of subpopulation miscalibration, to adapt an algorithm for recalibration of the predictions, and to validate its performance. MATERIALS AND METHODS: In this retrospective cohort study, we evaluated the calibration of predictions based on the Pooled Cohort Equations (PCE) and the fracture risk assessment tool (FRAX) in the overall population and in subpopulations defined by the intersection of age, sex, ethnicity, socioeconomic status, and immigration history. We next applied the recalibration algorithm and assessed the change in calibration metrics, including calibration-in-the-large. RESULTS: 1 021 041 patients were included in the PCE population, and 1 116 324 patients were included in the FRAX population. Baseline overall model calibration of the 2 tested models was good, but calibration in a substantial portion of the subpopulations was poor. After applying the algorithm, subpopulation calibration statistics were greatly improved, with the variance of the calibration-in-the-large values across all subpopulations reduced by 98.8% and 94.3% in the PCE and FRAX models, respectively. DISCUSSION: Prediction models in medicine are increasingly common. Calibration, the agreement between predicted and observed risks, is commonly poor for subpopulations that were underrepresented in the development set of the models, resulting in bias and reduced performance for these subpopulations. In this work, we empirically evaluated an adapted version of the fairness algorithm designed by Hebert-Johnson et al. (2017) and demonstrated its use in improving subpopulation miscalibration. CONCLUSION: A postprocessing and model-independent fairness algorithm for recalibration of predictive models greatly decreases the bias of subpopulation miscalibration and thus increases fairness and equality.

National initiatives to promote quality of care and patient safety: achievements to date and challenges ahead.

BACKGROUND: The quality of healthcare in Israel is considered "high", and this achievement is due to the structure and organization of the healthcare system. The goal of the present review is to describe the major achievements and challenges of quality improvement in the Israeli healthcare system. BODY: In recent years, the Ministry of Health has made major strides in increasing the public's access to comparative data on quality, finances and patient satisfaction. Several mechanisms at multiple levels help promote quality improvement and patient safety. These include legislation, financial incentives, and national programs for quality indicators, patient experience, patient safety, prevention and control of infection and accreditation. Over the years, improvements in quality indicators, infection prevention and patient satisfaction can be demonstrated, but other fields show little change, if at all. Challenges and barriers include reluctance by unions, inconsistent and unreliable flow of information, the fear of overpressure by management and the loss of autonomy by physicians, and doubts regarding "gaming" of data. Accreditation has its own challenges, such as the need to adjust it to local characteristics of the healthcare system, its high cost, and the limited evidence of its impact on quality. Lack of interest by leaders, lack of resources, burnout and compassion fatigue, are listed as challenges for improving patient experience. CONCLUSION: Substantial efforts are being made in Israel to improve quality of care, based on the use of good data to understand what is working and what needs particular attention. Government and health care providers have the tools to continue to improve. However, several mechanisms for improving the quality of care, such as minimizing healthcare disparities, training for quality, and widespread implementation of the "choosing wisely" initiative, should be implemented more intensively and effectively.

Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization.

Methods for identifying patients at high risk for osteoporotic fractures, including dual-energy X-ray absorptiometry (DXA)1,2 and risk predictors like the Fracture Risk Assessment Tool (FRAX)3-6, are underutilized. We assessed the feasibility of automatic, opportunistic fracture risk evaluation based on routine abdomen or chest computed tomography (CT) scans. A CT-based predictor was created using three automatically generated bone imaging biomarkers (vertebral compression fractures (VCFs), simulated DXA T-scores and lumbar trabecular density) and CT metadata of age and sex. A cohort of 48,227 individuals (51.8% women) aged 50-90 with available CTs before 2012 (index date) were assessed for 5-year fracture risk using FRAX with no bone mineral density (BMD) input (FRAXnb) and the CT-based predictor. Predictions were compared to outcomes of major osteoporotic fractures and hip fractures during 2012-2017 (follow-up period). Compared with FRAXnb, the major osteoporotic fracture CT-based predictor presented better receiver operating characteristic area under curve (AUC), sensitivity and positive predictive value (PPV) (+1.9%, +2.4% and +0.7%, respectively). The AUC, sensitivity and PPV measures of the hip fracture CT-based predictor were noninferior to FRAXnb at a noninferiority margin of 1%. When FRAXnb inputs are not available, the initial evaluation of fracture risk can be done completely automatically based on a single abdomen or chest CT, which is often available for screening candidates7,8.

Second opinion utilization by healthcare insurance type in a mixed private-public healthcare system: a population-based study.

OBJECTIVES: To evaluate the utilisation (overall and by specialty) and the characteristics of second-opinion seekers by insurance type (either health fund or supplementary insurance) in a mixed private-public healthcare. DESIGN: An observational study. SETTING: Secondary care visits provided by a large public health fund and a large supplementary health insurance in Israel. PARTICIPANTS: The entire sample included 1 392 907 patients aged 21 years and above who visited at least one specialist over an 18 months period, either in the secondary care or privately via the supplementary insurance. OUTCOMES MEASURES: An algorithm was developed to identify potential second-opinion instances in the dataset using visits and claims data. Multivariate logistic regression was used to identify characteristics of second-opinion seekers by the type of insurance they used. RESULTS: 143 371 (13%) out of 1 080 892 patients who had supplementary insurance sought a single second opinion, mostly from orthopaedic surgeons. Relatively to patients who sought second opinion via the supplementary insurance, second-opinion seekers via the health fund tended to be females (OR=1.2, 95% CI 1.17 to 1.23), of age 40-59 years (OR=1.36, 95% CI 1.31 to 1.42) and with chronic conditions (OR=1.13, 95% CI 1.08 to 1.18). In contrast, second-opinion seekers via the supplementary insurance tended to be native-born and established immigrants (OR=0.79, 95% CI 0.76 to 0.84), in a high socioeconomic level (OR=0.39, 95% CI 0.37 to 0. 4) and living in central areas (OR=0.88, 95% CI 0.85 to 0.9). CONCLUSIONS: Certain patient profiles tended to seek second opinions via the supplementary insurance more than others. People from the centre of the country and with a high socioeconomic status tended to do so, as medical specialists tend to reside in central urban areas. Further research is recommended to examine the availability of medical specialists by specialty and residence.

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.

Prediction Accuracy With Electronic Medical Records Versus Administrative Claims.

OBJECTIVE: The objective of this study was to evaluate the incremental predictive power of electronic medical record (EMR) data, relative to the information available in more easily accessible and standardized insurance claims data. DATA AND METHODS: Using both EMR and Claims data, we predicted outcomes for 118,510 patients with 144,966 hospitalizations in 8 hospitals, using widely used prediction models. We use cross-validation to prevent overfitting and tested predictive performance on separate data that were not used for model training. MAIN OUTCOMES: We predict 4 binary outcomes: length of stay (≥7 d), death during the index admission, 30-day readmission, and 1-year mortality. RESULTS: We achieve nearly the same prediction accuracy using both EMR and claims data relative to using claims data alone in predicting 30-day readmissions [area under the receiver operating characteristic curve (AUC): 0.698 vs. 0.711; positive predictive value (PPV) at top 10% of predicted risk: 37.2% vs. 35.7%], and 1-year mortality (AUC: 0.902 vs. 0.912; PPV: 64.6% vs. 57.6%). EMR data, especially from the first 2 days of the index admission, substantially improved prediction of length of stay (AUC: 0.786 vs. 0.837; PPV: 58.9% vs. 55.5%) and inpatient mortality (AUC: 0.897 vs. 0.950; PPV: 24.3% vs. 14.0%). Results were similar for sensitivity, specificity, and negative predictive value across alternative cutoffs and for using alternative types of predictive models. CONCLUSION: EMR data are useful in predicting short-term outcomes. However, their incremental value for predicting longer-term outcomes is smaller. Therefore, for interventions that are based on long-term predictions, using more broadly available claims data is equally effective.

Reasons, perceived outcomes and characteristics of second-opinion seekers: are there differences in private vs. public settings?

BACKGROUND: In most countries, patients can get a second opinion (SO) through public or private healthcare systems. There is lack of data on SO utilization in private vs. public settings. We aim to evaluate the characteristics of people seeking SOs in private vs. public settings, to evaluate their reasons for seeking a SO from a private physician and to compare the perceived outcomes of SOs given in a private system vs. a public system. METHODS: A cross-sectional national telephone survey, using representative sample of the general Israeli population (n = 848, response rate = 62%). SO utilization was defined as seeking an additional clinical opinion from a specialist within the same specialty, on the same medical concern. We modeled SO utilization in a public system vs. a private system by patient characteristics using a multivariate logistic regression model. RESULTS: 214 of 339 respondents who obtained a SO during the study period, did so in a private practice (63.1%). The main reason for seeking a SO from a private physician rather than a physician in the public system was the assumption that private physicians are more professional (45.7%). However, respondents who obtained a private SO were neither more satisfied from the SO (p = 0.45), nor felt improvement in their perceived clinical outcomes after the SO (p = 0.37). Low self-reported income group, immigrants (immigrated to Israel after 1989) and religious people tended to seek SOs from the public system more than others. CONCLUSIONS: The main reason for seeking a SO from private physicians was the assumption that they are more professional. However, there were no differences in satisfaction from the SO nor perceived clinical improvement. As most of SOs are sought in the private system, patient misconceptions about the private market superiority may lead to ineffective resource usage and increase inequalities in access to SOs. Ways to improve public services should be considered to reduce health inequalities.

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.

Correlates of well-being among caregivers of long-term community-dwelling stroke survivors.

Although caregiving for stroke survivors is usually long-term, most studies on caregivers have generally involved only the first year following the event. We assessed and compared the long-term level of well-being measures among stroke survivors and their caregivers at more than 1 year following the stroke event and examined the associations between well-being, survivors' characteristics, and caregiver burden. We interviewed a convenience sample of 51 community-dwelling stroke survivors, at least 1 year after the last stroke event, and their primary caregivers. Disability of survivors was assessed using the Barthel index and the modified Rankin Scale; health-related quality of life by the SF-36 questionnaire; and depression and anxiety using the Hospital Anxiety Depression Scale. Caregivers filled the SF-36 questionnaire, Hospital Anxiety Depression Scale questionnaire, and the Zarit Burden Interview, which assesses caregiver burden. Caregivers reported low levels of health-related quality of life and high levels of burden, anxiety, and depression. Caregivers' anxiety level was higher than that of the survivors (7.7±5.1 vs. 5.8±4.5, respectively; P=0.02). Anxiety was the only characteristic of caregivers that was associated with overall caregiver burden. Our study suggests that there is a spillover effect of the disease on stroke patients' primary caregivers. Intervention programs for caregivers should focus on their mental state and address their specific needs.

Examining Public Health Workers' Perceptions Toward Participating in Disaster Recovery After Hurricane Sandy: A Quantitative Assessment.

OBJECTIVE: We aimed to quantitatively gauge local public health workers' perceptions toward disaster recovery role expectations among jurisdictions in New Jersey and Maryland affected by Hurricane Sandy. METHODS: An online survey was made available in 2014 to all employees in 8 Maryland and New Jersey local health departments whose jurisdictions had been impacted by Hurricane Sandy in October 2012. The survey included perceptions of their actual disaster recovery involvement across 3 phases: days to weeks, weeks to months, and months to years. The survey also queried about their perceptions about future involvement and future available support. RESULTS: Sixty-four percent of the 1047 potential staff responded to the survey (n=669). Across the 3 phases, 72% to 74% of the pre-Hurricane Sandy hires knew their roles in disaster recovery, 73% to 75% indicated confidence in their assigned roles (self-efficacy), and 58% to 63% indicated that their participation made a difference (response efficacy). Of the respondents who did not think it likely that they would be asked to participate in future disaster recovery efforts (n=70), 39% indicated a willingness to participate. CONCLUSION: The marked gaps identified in local public health workers' awareness of, sense of efficacy toward, and willingness to participate in disaster recovery efforts after Hurricane Sandy represent a significant infrastructural concern of policy and programmatic relevance. (Disaster Med Public Health Preparedness. 2016;10:371-377).

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.

Is socioeconomic status associated with utilization of health care services in a single-payer universal health care system?

OBJECTIVES: To assess an association of Socio-economic status with utilization of health care services between years 2002 and 2008 in Israel. METHODS: We retrospectively analyzed the utilization of health care services in a cohort of 100,000 members, 21 years and older, of a Clalit Health Services. The research compared utilization according to the neighborhood SES status; and clinic's location as another SES proxy. Data included: Charlson Score morbidity factor, utilization of health care services (visits to primary physicians and specialists, purchase of pharmaceuticals, number of hospitalization days, visits to ED, utilization of laboratory tests and imaging). The analysis was performed using Generalized Linear Model (GLM) technique. RESULTS: People with lower SES visited more the ED and primary physicians and were hospitalized for longer periods. People with higher SES visited more specialists, bought more prescription drugs and used more medical imaging. The associations between SES and most of the services we analyzed did not change between 2002 and 2008. However, the gap between lower and higher SES levels in ED visits and the use of prescription drugs slightly increased over time, while the gap in visits to specialists decreased. CONCLUSIONS: The research shows that even in a universal health care system SES is associated with utilization of health care services. In order to improve equity in utilization of services the Israeli public health should reduce economic barriers and in parallel invest in making information accessible to improve "navigation skills" for all.

Cost-effectiveness of influenza vaccination in prior pneumonia patients in Israel.

Pneumonia is a common complication of influenza infection, and accounts for the majority of influenza mortality. Both the WHO and the Ministry of Health in Israel prioritize seasonal influenza vaccination primarily on the basis of age and specific co-morbidities. Here we consider whether the targeting of individuals previously infected with pneumonia for influenza vaccination would be a cost-effective addition to the current policy. We performed a retrospective cohort data analysis of 163,990 cases of pneumonia hospitalizations and 1,305,223 cases of outpatient pneumonia from 2004 to 2012, capturing more than 54% of the Israeli population. Our findings demonstrate that patients infected with pneumonia in the year prior had a substantially higher risk of becoming infected with pneumonia in subsequent years (relative risk >2.34, p<0.01). Results indicated that the benefit of targeting for influenza vaccination patients hospitalized with pneumonia in prior year would be cost-saving regardless of age. Complementing the current policy with the targeting of prior pneumonia patients would require vaccination of only a further 2.3% of the Israeli population to save additional 204-407 quality-adjusted life years (QALYs) annually at a mean price of 58-1056 USD/QALY saved. Global uncertainty analysis demonstrates that the cost-effectiveness of adding this policy is robust over a vast range of conditions. As prior pneumonia patients are currently not prioritized for influenza vaccination in Israel, nor elsewhere, this study suggests a novel supplement of current policies to improve cost-effectiveness of influenza vaccination. Future studies should use case-control study to further evaluate the effectiveness of vaccination in prior pneumonia patients.