Tobacco Use Patterns among GED Recipients.

U.S. General Educational Development diploma (GED) recipients have the highest smoking prevalence of any education level. This paper describes demographic characteristics and tobacco use patterns and examines effect modification and confounding as potential explanations for higher crude prevalence of smoking. METHODS: The study population included adults aged 25 and older in the 2013 National Health Interview Survey. We estimated adjusted prevalence ratios and 95% CIs for smoking and quitting behaviors using weighted multivariable logistic regression. RESULTS: Among women with a GED, adjusted prevalence of ever use (58.7%) and smoking (32.4%) was 1.50 and 1.52 times the prevalence among high school dropouts (39.1%, 21.3%). Female GED recipients had a significantly higher prevalence of ever smoking compared with dropouts. We found no significant educational differences in smoking prevalence among men or quit behaviors for either sex. CONCLUSIONS: More research is needed to identify targeted interventions to prevent smoking in this disparate population.

Management of antithrombotic therapy in adults with immune thrombocytopenia (ITP): a survey of ITP specialists and general hematologist-oncologists.

While patients with immune thrombocytopenia (ITP) and low platelet counts are at risk for bleeding, they are not protected against arterial and venous thrombotic events. Frequently, hematologists are asked to consult on a patient with ITP requiring an antiplatelet (AP) agent or anticoagulant (AC). No direct evidence exists to guide hematologists in weighing the risk of thrombosis against the risk of bleeding in patients with ITP. Therefore, we performed a survey to determine the preferred management of AP/AC therapy in ITP patients. The survey described hypothetical patient scenarios and asked respondents to recommend a minimum platelet count for initiation of AP/AC therapy. We surveyed both hematologists with an international reputation in treatment of ITP (n = 48) and also general hematologist-oncologists in Oklahoma (n = 97). Response rates were 38/48 (79%) for the ITP specialists and 46/97 (47%) for general hematologist-oncologists. Overall, recommended platelet thresholds for antithrombotic therapy were similar between ITP specialists and general hematologist-oncologists. Although both groups recommended a minimum platelet count of 50 × 109/L for AP and AC therapy in most scenarios, there was great variability in individual practice patterns among respondents. This study highlights the need for studies of patients with ITP who require AP/AC therapy to provide high-quality evidence for establishing optimal management strategies.

A structural equation modeling approach to understanding pathways that connect socioeconomic status and smoking.

The inverse association between socioeconomic status and smoking is well established, yet the mechanisms that drive this relationship are unclear. We developed and tested four theoretical models of the pathways that link socioeconomic status to current smoking prevalence using a structural equation modeling (SEM) approach. Using data from the 2013 National Health Interview Survey, we selected four indicator variables (poverty ratio, personal earnings, educational attainment, and employment status) that we hypothesize underlie a latent variable, socioeconomic status. We measured direct, indirect, and total effects of socioeconomic status on smoking on four pathways through four latent variables representing social cohesion, financial strain, sleep disturbance, and psychological distress. Results of the model indicated that the probability of being a smoker decreased by 26% of a standard deviation for every one standard deviation increase in socioeconomic status. The direct effects of socioeconomic status on smoking accounted for the majority of the total effects, but the overall model also included significant indirect effects. Of the four mediators, sleep disturbance and psychological distress had the largest total effects on current smoking. We explored the use of structural equation modeling in epidemiology to quantify effects of socioeconomic status on smoking through four social and psychological factors to identify potential targets for interventions. A better understanding of the complex relationship between socioeconomic status and smoking is critical as we continue to reduce the burden of tobacco and eliminate health disparities related to smoking.

Health care utilization of patients diagnosed with idiopathic thrombotic thrombocytopenic purpura in a commercially insured population in the United States.

BACKGROUND: Incident idiopathic thrombotic thrombocytopenic purpura (TTP) is an uncommon, potentially fatal blood disorder for which there are little or no data on health care costs. STUDY DESIGN AND METHODS: Patients satisfying a validated claims-based algorithm including an inpatient diagnosis of TTP and plasma exchange (PE) procedure during the period January 1, 2001 to May 31, 2008 were identified in the HealthCore Integrated Research Database. To characterize patterns of treatment and payments, a quantitative evaluation of comorbidities and treatments, health care utilization, and payments among this population of patients was conducted. All patients were followed until death, end of health plan enrollment, or 365 days after the TTP hospitalization, whichever occurred first. RESULTS: One hundred fifty-one patients met the claims coding algorithm. Mean total health care payments for the TTP hospitalization were $56,347 (standard deviation [SD] $80,230). Ten patients (6.6%) died during the hospitalization for TTP. Mean payments for PE services in the month following discharge were $9127 (SD $20,840). Several patients required prolonged PE during the acute TTP phase (up to 116 separate exchanges over a period of 365 days), prolonging required treatment and skewing payments and resource utilization during the 365-day period following discharge from the index TTP hospitalization. CONCLUSION: These data document the health care resource utilization by patients with idiopathic TTP, demonstrating that management of these patients is not only expensive but also skewed, with some patients requiring prolonged treatment. These data can contribute to cost-effectiveness models when new treatments for TTP become available.

Validation of claims-based diagnostic codes for idiopathic thrombotic thrombocytopenic purpura in a commercially-insured population.

It was the purpose of the present study to validate administrative claims codes for idiopathic thrombotic thrombocytopenic purpura (TTP) in a commercially-insured US population. Patients with at least one medical claim with ICD-9 code 446.6X between 1/1/2001 and 5/31/2008 were identified in the HealthCore Integrated Research Database (HIRD). A chart abstraction form was developed to enable case determination for patients identified by the claims code. Two clinical experts, not involved in the design of the study, reviewed the abstracted medical record data and determined whether definite evidence supporting the diagnosis of TTP was present. The positive predictive value (PPV) of the claims coding algorithm for cases assessed by both reviewers was computed. The claims algorithm was further refined and the PPV of the refined algorithm was computed. One hundred eighty-nine abstracted charts were reviewed by two clinical experts; 86 were assessed to have definite evidence supporting the diagnosis of TTP (PPV 45.5% [86/189; 95% confidence interval (CI), 38.3-52.9%]). Refinement of the claims algorithm first included the use of plasma exchange treatment, resulting in 103 potential cases, of which 67 were assessed to have definite evidence supporting the diagnosis of TTP (PPV 65.0%; 95% CI, 55.0-74.2%). Further refinement of the claims algorithm ruled out alternative diagnoses that may mimic TTP; 34 were assessed to have definite evidence supporting the diagnosis of TTP (PPV 72.3% [34/47; 95% CI, 57.4-84.4%]).Our findings demonstrate the difficulty of confirming the diagnosis of rare disorders that lack definite diagnostic criteria, and indicate that more complex claims coding algorithms are necessary for identifying these disorders.