929 resultados para low-income patients
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2001. The report includes state, utility, and agency summaries of calendar year 2001 spending and impacts by measure, end-use, and fuel.
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The Low-Income Home Energy Assistance Program (LIHEAP) and Weatherization Program Interim Study Committee was created by the Legislative Council and charged to review issues involving the Low-Income Home Energy Assistance Program (LIHEAP) and Weatherization Program including financial assistance, the application and intake processes, the community action agencies' assessment and resolution proposal, and whether to involve the Department of Human Services in the administration of the programs to enable low-income persons to access additional assistance programs through a single location.
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2001. The report includes state, utility, and agency summaries of calendar year 2001 spending and impacts by measure, end-use, and fuel.
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2001. The report includes state, utility, and agency summaries of calendar year 2001 spending and impacts by measure, end-use, and fuel.
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2001. The report includes state, utility, and agency summaries of calendar year 2001 spending and impacts by measure, end-use, and fuel.
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2001. The report includes state, utility, and agency summaries of calendar year 2001 spending and impacts by measure, end-use, and fuel.
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2003. The report includes state, utility, and agency summaries of calendar year 2003 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations for households completed during the calendar year 2003..
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This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2004. The report includes state, utility, and agency summaries of calendar year 2004 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.
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This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2005. The report includes state, utility, and agency summaries of calendar year 2005 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.
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This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2006. The report includes state, utility, and agency summaries of calendar year 2006 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.
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This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2007. The report includes state, utility, and agency summaries of calendar year 2007 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.
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This report summarizes state and utility low-income weatherization program activity for dwellings weatherized to completion during calendar year 2008. The report includes state, utility, and agency summaries of calendar year 2008 spending and impacts by measure, end-use, and fuel. The base data consisted of statewide program tracking databases of spending and measure installations maintained by the Iowa Department of Community Action Agencies.
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Using comprehensive administrative data on France's single largest financialaid program, this paper provides new evidence on the impact of large-scaleneed-based grant programs on the college enrollment decisions, persistenceand graduation rates of low-income students. We exploit sharp discontinuitiesin the grant eligibility formula to identify the impact of aid on student outcomesat different levels of study. We find that eligibility for an annual cashallowance of 1,500 euros increases college enrollment rates by up to 5 percentagepoints. Moreover, we show that need-based grants have positive effectson student persistence and degree completion.
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Summary Background: We previously derived a clinical prognostic algorithm to identify patients with pulmonary embolism (PE) who are at low-risk of short-term mortality who could be safely discharged early or treated entirely in an outpatient setting. Objectives: To externally validate the clinical prognostic algorithm in an independent patient sample. Methods: We validated the algorithm in 983 consecutive patients prospectively diagnosed with PE at an emergency department of a university hospital. Patients with none of the algorithm's 10 prognostic variables (age >/= 70 years, cancer, heart failure, chronic lung disease, chronic renal disease, cerebrovascular disease, pulse >/= 110/min., systolic blood pressure < 100 mm Hg, oxygen saturation < 90%, and altered mental status) at baseline were defined as low-risk. We compared 30-day overall mortality among low-risk patients based on the algorithm between the validation and the original derivation sample. We also assessed the rate of PE-related and bleeding-related mortality among low-risk patients. Results: Overall, the algorithm classified 16.3% of patients with PE as low-risk. Mortality at 30 days was 1.9% among low-risk patients and did not differ between the validation and the original derivation sample. Among low-risk patients, only 0.6% died from definite or possible PE, and 0% died from bleeding. Conclusions: This study validates an easy-to-use, clinical prognostic algorithm for PE that accurately identifies patients with PE who are at low-risk of short-term mortality. Low-risk patients based on our algorithm are potential candidates for less costly outpatient treatment.
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BACKGROUND: The risk of end stage renal disease (ESRD) is increased among individuals with low income and in low income communities. However, few studies have examined the relation of both individual and community socioeconomic status (SES) with incident ESRD. METHODS: Among 23,314 U.S. adults in the population-based Reasons for Geographic and Racial Differences in Stroke study, we assessed participant differences across geospatially-linked categories of county poverty [outlier poverty, extremely high poverty, very high poverty, high poverty, neither (reference), high affluence and outlier affluence]. Multivariable Cox proportional hazards models were used to examine associations of annual household income and geospatially-linked county poverty measures with incident ESRD, while accounting for death as a competing event using the Fine and Gray method. RESULTS: There were 158 ESRD cases during follow-up. Incident ESRD rates were 178.8 per 100,000 person-years (105 py) in high poverty outlier counties and were 76.3 /105 py in affluent outlier counties, p trend = 0.06. In unadjusted competing risk models, persons residing in high poverty outlier counties had higher incidence of ESRD (which was not statistically significant) when compared to those persons residing in counties with neither high poverty nor affluence [hazard ratio (HR) 1.54, 95% Confidence Interval (CI) 0.75-3.20]. This association was markedly attenuated following adjustment for socio-demographic factors (age, sex, race, education, and income); HR 0.96, 95% CI 0.46-2.00. However, in the same adjusted model, income was independently associated with risk of ESRD [HR 3.75, 95% CI 1.62-8.64, comparing the < $20,000 income group to the > $75,000 group]. There were no statistically significant associations of county measures of poverty with incident ESRD, and no evidence of effect modification. CONCLUSIONS: In contrast to annual family income, geospatially-linked measures of county poverty have little relation with risk of ESRD. Efforts to mitigate socioeconomic disparities in kidney disease may be best appropriated at the individual level.