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High-throughput area sign display screen about main man chest tissues reveals additional cell phone heterogeneity.
BACKGROUND Nausea seems underreported during pelvic radiotherapy. OBJECTIVE The aims of this study were to investigate if a 5-week recall measure of nausea covering the entire radiotherapy period was comparable with accumulated daily nausea measurements and to investigate if the measuring method affected potential difference in quality of life (QoL) between nauseated patients and patients free from nausea. METHODS This longitudinal methodology study covered 200 patients (mean age, 64 years; 84% women; 69% had gynecological cancer). The patients graded QoL (Functional Assessment of Cancer Therapy-General). They registered nausea daily and at a 5-week recall at the end of radiotherapy. RESULTS The nausea-intensity category scale and visual analog scale correlated well (Spearman correlation coefficient = 0.622). According to the 5-week recall, 57 of 157 answering patients (36%) experienced nausea during the radiotherapy period. Bcl-2 pathway Using the daily nausea measurements, 94 of 157 patients (60%) experienced nausea (relative risk, 1.65; 95% confidence interval, 1.29-2.10). Of these 94 nauseated patients, 39 (42%) did not report nausea using the 5-week recall. The nauseated patients experienced worse QoL (physical/functional subscores) than patients free from nausea whether nausea was registered daily or at the 5-week recall. CONCLUSIONS Almost half, 42%, of the patients who experienced nausea according to daily nausea measurements did not report having had nausea according to the 5-week recall. Nauseated patients graded worse QoL than patients who were free from nausea. IMPLICATIONS FOR PRACTICE Nursing professionals should measure nausea repeatedly to identify patients at risk of nausea and worsened QoL, to be able to deliver evidence-based antiemetic treatment strategies.BACKGROUND Black-white gaps in high-quality hospital use are documented, but the relative contributions of various factors are unclear. The objective of this study was to quantify the contributions of differences in geographic and nongeographic factors to the gap, using decomposition methods and data for coronary heart disease. RESEARCH DESIGN We identified white and black fee-for-service beneficiaries aged 65 or older who were hospitalized for acute myocardial infarction (AMI) or coronary artery bypass grafting (CABG) surgery during 2009-2011. We categorized hospitals with AMI mortality rates in the lowest quintile as high-quality hospitals. We first decomposed the white-black gap in high-quality hospital use into a component due to racial differences in region of residence and a within-region component. We then decomposed the within-region differences into contributions due to racial differences in geographic proximity to high-quality hospitals and due to nongeographic factors. RESULTS The white-black gap in high-quality hospital use was smaller for AMI than for CABG (1.7 percentage points vs. 7.5 percentage points). For AMI, region of residence contributed more to the gap than within-region differences (1.0 percentage point vs. 0.6 percentage points), while for CABG, within-region differences prevailed (2.0 percentage points vs. 5.4 percentage points). For both conditions, the within-region white-black difference in high-quality hospital use was mainly driven by nongeographic factors. CONCLUSIONS Decomposition methods are a useful tool in quantifying the contributions of various factors to the white-black gap in high-quality hospital use and could inform local policy aimed at reducing disparities in hospital quality.BACKGROUND Medical care overuse is a significant source of patient harm and wasteful spending. Understanding the drivers of overuse is essential to the design of effective interventions. OBJECTIVE We tested the association between structural factors of the health care delivery system and regional differences systemic overuse. RESEARCH DESIGN We conducted a retrospective analysis of deidentified claims for 18- to 64-year-old adults from the IBM MarketScan Commercial Claims and Encounters Database. We calculated a semiannual Johns Hopkins Overuse Index for each of the 375 Metropolitan Statistical Areas in the United States, from January 2011 to June 2015. We fit an ordinary least squares regression to model the Johns Hopkins Overuse Index as a function of regional characteristics of the health care system, adjusted for confounders and time. RESULTS The supply of regional health care resources was associated with systemic overuse in commercially insured beneficiaries. Regional characteristics associated with systemic overuse included number of physicians per 1000 residents (P=0.001) and higher Medicare malpractice geographic price cost index (P less then 0.001). Regions with a higher density of primary care physicians (P=0.008) and a higher proportion of hospital-based providers (P=0.016) had less systemic overuse. Differences in hospital and insurer market power were inversely associated with systemic overuse. CONCLUSIONS Systemic overuse is associated with observable, structural characteristics of the regional health care system. These findings suggest that interventions that aim to improve care efficiency via reductions in overuse should focus on the structural drivers of this phenomenon, rather than on the eradication of individual overused procedures.BACKGROUND Prescription opioid overdose has increased markedly and is of great concern among injured workers receiving workers' compensation insurance. Given the association between high daily dose of prescription opioids and negative health outcomes, state workers' compensation boards have disseminated Morphine Equivalent Daily Dose (MEDD) guidelines to discourage high-dose opioid prescribing. OBJECTIVE To evaluate the impact of MEDD guidelines among workers' compensation claimants on prescribed opioid dose. METHODS Workers' compensation claims data, 2010-2013 from 2 guideline states and 3 control states were utilized. The study design was an interrupted time series with comparison states and average monthly MEDD was the primary outcome. Policy variables were specified to allow for both instantaneous and gradual effects and additional stratified analyses examined evaluated the policies separately for individuals with and without acute pain, cancer, and high-dose baseline use to determine whether policies were being targeted as intended.
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