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      Methodological basics and evolution of the Belgian health interview survey 1997–2008

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          Abstract

          Background

          The Belgian Health Interview Survey (BHIS) is organised every 4 to 5 years and collects health information from around 10,000 individuals in a face-to-face setting. This manuscript describes the methodological choices made in the sampling design, the outcomes of the previous surveys in terms of participation rates and achieved targets and the factors to be accounted for in data-analysis.

          Methods

          The BHIS targets all persons residing in Belgium with no restrictions on age or nationality. Trimestral copies of the National Population Registry are used as the sampling frame. To select the respondents, a multistage sampling design is applied involving a geographical stratification, a selection of clusters, a selection of households within each cluster and a selection of respondents within each household. Using matched substitution of non-participating households assures the realisation of the predefined net-sample.

          Results

          For each BHIS the required number of participants is achieved, including the years when an oversampling of provinces and of the elderly occurred. The sampling design guarantees that the survey is implemented in large cities as well as in small municipalities. A growing problem is related to the sampling frame: it is increasingly subject of deterioration, especially in the Brussels-Capital Region.

          Conclusions

          The methodological approach developed for the first BHIS proves to be accurate and was kept nearly unchanged throughout the following surveys. Fieldwork substitution contributes to a considerable extent to the success of the fieldwork but yields in higher percentages of non-participation. The sampling design requires special attention when analysing the data: the unequal selection probability, e.g. due to the non-proportional stratification at the regional level, necessitates the use of weights. The BHIS is progressively embedded in the European Health Survey, a process that doesn’t jeopardise the comparability of the Belgian results throughout time.

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          Most cited references3

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          Monte Carlo simulation of the cost-effectiveness of sample size maintenance programs revealed the need to consider substitution sampling.

          To assess the cost-effectiveness of sample size maintenance programs in a prospective cohort. The Living with Diabetes Study in Queensland, Australia is a longitudinal survey providing a comprehensive examination of health care utilization and disease progression among people with diabetes. Data from this study were used to compare the cost-effectiveness of a program incorporating substitution sampling with two alternative programs: "no follow-up" and "usual practice." A program involving substitution sampling was shown to be the most effective with an additional 3,556 complete responses (compared with a "no follow-up" program) and an additional 2,099 complete responses (compared with "usual practice"). An incremental analysis through a Monte Carlo simulation found substitution sampling to be the most cost-effective option for maintaining sample size with an incremental cost-effective ratio of $54.87 (95% uncertainty interval $52.68-$57.25) compared with $87.58 ($77.89-$100.09) for "usual practice." Based on the available data, a program involving substitution sampling is economically justified and should be considered in any approach with the aim of maintaining sample size. There is, however, a continuing need to evaluate the effectiveness of this option on other outcome measures, such as bias. Copyright © 2012 Elsevier Inc. All rights reserved.
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            Key elements in the statistical analysis of surveys.

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              Statistical software for calculating properly weighted estimates from Health Interview Survey Data.

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                Author and article information

                Contributors
                Journal
                Arch Public Health
                Arch Public Health
                Archives of Public Health
                BioMed Central
                0778-7367
                2049-3258
                2013
                18 September 2013
                : 71
                : 1
                : 24
                Affiliations
                [1 ]Scientific Institute of Public Health, Operational Direction Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Conditions, Brussels, Belgium
                Article
                0778-7367-71-24
                10.1186/0778-7367-71-24
                3844891
                24047278
                11980aa7-fabb-4ea6-8516-5aa8d0d20e9f
                Copyright © 2013 Demarest et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 June 2013
                : 23 August 2013
                Categories
                Research

                Public health
                health interview survey,survey-methodology,fieldwork substitution
                Public health
                health interview survey, survey-methodology, fieldwork substitution

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