Report on Impacts and Costs of the Iowa Low-Income Weatherization Program: Executive Summary 2001

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.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program: Executive Summary 2001

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.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program: Executive Summary 2003

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.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2003

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..

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2004

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.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2005

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.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2006

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.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2007

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.

Report on Impacts and Costs of the Iowa Low-Income Weatherization Program, 2008

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.

Improving college access and success for low-income students: Evidence from a large need-based grant program

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.

Low income, community poverty and risk of end stage renal disease

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.

Social insurances system's shortcomings : the example of the low-income young retirees' access to healthcare [Imperfections du système d'assurances sociales : l'exemple de l'accès aux soins des jeunes retraité(e)s à revenu modeste]

This article presents the results of a study involving 2445 recently retired persons from the Canton of Vaud in Switzerland who choose to forego health care. These persons of modest means barely qualify for government assistance programs and do not benefit from the social safety net that is provided to the truly destitute. 17.9% of the respondents to the questionnaire said that they forego health care for financial reasons. Interviews reveal the complex reasons that lie behind such a choice, as well as the compensation strategies that are sometimes used to get medical treatment. These strategies show that the people are able to act when the circumstances require them to do so. Despite that, their situation remains insecure. Cet article analyse les résultats d'une étude sur le renoncement aux soins menée auprès de 2445 Vaudois∙e∙s récemment retraité∙e∙s. Ces personnes de situation modeste sont proches des limites d'accès aux aides étatiques et ne bénéficient pas du même filet de protection sociale que d'autres plus démunies. 17.9% des répondant∙e∙s au questionnaire déclarent renoncer à des soins pour raisons financières. Des entretiens mettent en évidence la complexité du renoncement, ainsi que les stratégies compensatoires que les personnes adoptent pour accéder à certains soins. Ces dernières démontrent une capacité d'agir en situation qui reste toutefois précaire.

Cost-effectiveness of Tenofovir / Emtricitabine / Efavirenz versus Zidovudine / Lamivudine / Efavirenz as fist-line regimens for the treatment of HIV-infected patients in low-income settings

The Highly Active Antiretroviral Therapy (HAART) is the combination of at least three antiretroviral compounds. The combination purpose is to reduce the likelihood of drug resistance. However in the long-term the resistance to the first-line combination occurs and leads to treatment failure. Thus, a second-line and even a third-line regimen are recommended in the long run. [...] [P. 5] The two treatment alternatives under comparison: Tenofovir (300 mg) CO-formulated with Emtricitabine (200 mg) and Efavirenz (600 mg) currently known under the brand name Atripla (R) was introduced in July 2006 in the United States market. The excellent safety profile and ease of use make this combination a perfect first-line regimen in low-income settings. Therefore, this treatment option was recommended in WHO 2006 reviewed guidelines. Unfortunately, Tenofovir and Emtricitabine compounds are still costly and not yet widely available. For a matter of simplification this regimen is referred in this report as "the recent" therapy. Initially, we had in mind to consider the most frequently used first-line regimen in low-income countries (Stavudine / Larnivudme / Nevirapine) as a comparator for this economic evaluation. Unfortunately, according to the literature review results (see Annex 3); there was no data available comparing head to head the effectiveness of this regimen with the recent one. Instead, we selected a less frequently but commonly used first-line regimen in low-income countries as a comparator: Zidovudine, Lamivudine, Efavirenz. This combination has extensive experience in durability, safety and toxicity and seems to be an optimal choice for a first-line regimen according to the clinical trial group 384 team. Furthermore, Zidovudine, one of the compounds of this combination is now recommended as one of the preferred NNRTI [Non Nucleoside Reverse Transcriptase Inhibitors] options to be considered by countries instead of Stavudine (the most used NNRTI in limited-income countries). As this combination has been included in the WHO guidelines as a first-line therapy since 2003 when WHO launched the "3 by 5" scaling-up initiative, this combination of drugs is referred in this report as the "old" therapy. Objectives: The primary objective of this economic evaluation is to compare the two first-line HAARTs introduced above, in a low-income setting context. Both of these combinations are recommended by the 2006 WHO guidelines as potential first-line regimens. The secondary objective is to provide a simplified and comprehensible cost-effectiveness modeling tool in order to help policy makers, in resource-limited settings, make decisions about which first-line HAART to fund using the scarce resources available. [P. 6-7]

Five-year predictors of physical activity decline among adults in low-income communities: a prospective study

Affiliation: J. O'Loughlin: Department of Social and Preventive Medicine, Centre de recherche CHUM, Université de Montréal

An approximation to the digital divide among low income people in Colombia, Mexico and Perú: two composite indexes

El estudio analiza los determinantes de uso y acceso a las tecnologías de información y comunicación en personas de bajos ingresos en pasases como Colombia, México y Perú. El punto central está en analizar las diferencias entre países de acuerdo a diferentes variables socioeconómicas. Se encuentra que la variable que más explica el nivel de acceso digital es la escolaridad. De otro lado no se encuentra una brecha por género sino en Perú. Los resultados también indican que cuando solo se tienen en cuenta las tecnologías más ‘avanzadas’, las diferencias entre la población son más notorias