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Disability weights for infectious diseases in four European countries: comparison between countries and across respondent characteristics.

ABSTRACT: Background:In 2015, new disability weights (DWs) for infectious diseases were constructed based on data from four European countries. In this paper, we evaluated if country, age, sex, disease experience status, income and educational levels have an impact on these DWs. Methods:We analyzed paired comparison responses of the European DW study by participants' characteristics with separate probit regression models. To evaluate the effect of participants' characteristics, we performed correlation analyses between countries and within country by respondent characteristics and constructed seven probit regression models, including a null model and six models containing participants' characteristics. We compared these seven models using Akaike Information Criterion (AIC). Results:According to AIC, the probit model including country as covariate was the best model. We found a lower correlation of the probit coefficients between countries and income levels (range rs: 0.97-0.99, P < 0.01) than between age groups (range rs: 0.98-0.99, P < 0.01), educational level (range rs: 0.98-0.99, P < 0.01), sex (rs = 0.99, P < 0.01) and disease status (rs = 0.99, P < 0.01). Within country the lowest correlations of the probit coefficients were between low and high income level (range rs = 0.89-0.94, P < 0.01). Conclusions:We observed variations in health valuation across countries and within country between income levels. These observations should be further explored in a systematic way, also in non-European countries. We recommend future researches studying the effect of other characteristics of respondents on health assessment.

SUBMITTER: Maertens de Noordhout C

PROVIDER: S-EPMC5881674 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Disability weights for infectious diseases in four European countries: comparison between countries and across respondent characteristics.

Maertens de Noordhout Charline C Devleesschauwer Brecht B Salomon Joshua A JA Turner Heather H Cassini Alessandro A Colzani Edoardo E Speybroeck Niko N Polinder Suzanne S Kretzschmar Mirjam E ME Havelaar Arie H AH Haagsma Juanita A JA

European journal of public health 20180201 1

<h4>Background</h4>In 2015, new disability weights (DWs) for infectious diseases were constructed based on data from four European countries. In this paper, we evaluated if country, age, sex, disease experience status, income and educational levels have an impact on these DWs.<h4>Methods</h4>We analyzed paired comparison responses of the European DW study by participants' characteristics with separate probit regression models. To evaluate the effect of participants' characteristics, we performed ...[more]

PMID: 29020343

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Project description:BackgroundRemote monitoring (RM) is defined as the surveillance of device-transmitted outpatient data. RM is expected to enable better management of chronic diseases. The objective of this research was to identify public policies concerning RM in four European countries.MethodsSearches of the medical literature, the Internet, and Ministry of Health websites for the United Kingdom (UK), Germany, Italy, and Spain were performed in order to identify RM policies for chronic diseases, including end stage renal disease (ESRD), chronic pulmonary obstructive disease (COPD), diabetes, heart failure, and hypertension. Searches were first performed in Q1 2014 and updated in Q4 2015. In addition, in depth interviews were conducted with payers/policymakers in each country. Information was obtained on existing policies, disease areas and RM services covered and level of reimbursement, other incentives such as quality indicators, past/current assessments of RM technologies, diseases perceived to benefit most from RM, and concerns about RM.ResultsPolicies on RM and/or telemedicine were identified in all four countries. Pilot projects (mostly in diabetes, COPD, and/or heart failure) existed or were planned in most countries. Perceived value of RM was moderate to high, with the highest rating given for heart failure. Interviewees expressed concerns about sharing of medical information, and the need for capital investment. Patients recently discharged from hospital, and patients living remotely, or with serious and/or complicated diseases, were believed to be the most likely to benefit from RM. Formal reimbursement is scarce, but more commonly available for patients with heart failure.ConclusionsIn the four European countries surveyed, RM has attracted considerable interest for its potential to increase the efficiency of healthcare for chronic diseases. Although rare at this moment, incentives to use RM technology are likely to increase in the near future as the body of evidence of clinical and/or economic benefit grows.

Project description:PURPOSE:Public health policies and actions increasingly acknowledge the climate burden of food consumption. The aim of this study is to describe dietary intakes across four European countries, as baseline for further research towards healthier and environmentally-friendlier diets for Europe. METHODS:Individual-level dietary intake data in adults were obtained from nationally-representative surveys from Denmark and France using a 7-day diet record, Italy using a 3-day diet record, and Czech Republic using two replicates of a 24-h recall. Energy-standardised food and nutrient intakes were calculated for each subject from the mean of two randomly selected days. RESULTS:There was clear geographical variability, with a between-country range for mean fruit intake from 118 to 199 g/day, for vegetables from 95 to 239 g/day, for fish from 12 to 45 g/day, for dairy from 129 to 302 g/day, for sweet beverages from 48 to 224 ml/day, and for alcohol from 8 to 15 g/day, with higher intakes in Italy for fruit, vegetables and fish, and in Denmark for dairy, sweet beverages and alcohol. In all countries, intakes were low for legumes (< 20 g/day), and nuts and seeds (< 5 g/day), but high for red and processed meat (> 80 g/day). Within countries, food intakes also varied by socio-economic factors such as age, gender, and educational level, but less pronounced by anthropometric factors such as overweight status. For nutrients, intakes were low for dietary fibre (15.8-19.4 g/day) and vitamin D (2.4-3.0 µg/day) in all countries, for potassium (2288-2938 mg/day) and magnesium (268-285 mg/day) except in Denmark, for vitamin E in Denmark (6.7 mg/day), and for folate in Czech Republic (212 µg/day). CONCLUSIONS:There is considerable variation in food and nutrient intakes across Europe, not only between, but also within countries. Individual-level dietary data provide insight into the heterogeneity of dietary habits beyond per capita food supply data, and this is crucial to balancing healthy and environmentally-friendly diets for European citizens.

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Dataset Information

Disability weights for infectious diseases in four European countries: comparison between countries and across respondent characteristics.

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Disability weights for infectious diseases in four European countries: comparison between countries and across respondent characteristics.

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