ArticleInternational journal of public health2014
Association between variables used in the field substitution and post-stratification adjustment in the Belgian health interview survey and non-response.
Article in International journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Non-response bias in the analysis of the association between mental health and the urban environment: a cross-sectional study in Brussels, Belgium.Archives of public health = Archives belges de sante publique · 2023Article
- Unit Response and Costs in Web Versus Face-To-Face Data Collection: Comparison of Two Cross-sectional Health Surveys.Journal of medical Internet research · 2022Article
- Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys.International journal of environmental research and public health · 2021Article
- External validity of prevalence estimates from the national maternity surveys in England: The impact of response rate.PloS one · 2020Article
- Determinants of unit nonresponse in multi-mode data collection: A multilevel analysis.PloS one · 2019Article
- Gender differences in mental health problems among adolescents and the role of social support: results from the Belgian health interview surveys 2008 and 2013.BMC psychiatry · 2018Article
- Sample substitution can be an acceptable data-collection strategy: the case of the Belgian Health Interview Survey.International journal of public health · 2017Article
- Sample selection, recruitment and participation rates in health examination surveys in Europe--experience from seven national surveys.BMC medical research methodology · 2015Article
- Contribution of chronic diseases to the disability burden in a population 15 years and older, Belgium, 1997-2008.BMC public health · 2015Article
- Random sample community-based health surveys: does the effort to reach participants matter?BMJ open · 2014Article
- Mental health impact of the 2010 Haiti earthquake on the Miami Haitian population: A random-sample survey.Disaster health · 2014Article
- Methodological basics and evolution of the Belgian health interview survey 1997-2008.Archives of public health = Archives belges de sante publique · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesField substitution and post-stratification adjustment have been proposed to reduce non-response bias in population surveys. We investigated if variables involved in those techniques in the Belgian health interview survey 2004 are associated with non-response and assessed the impact of field substitution and post-stratification adjustment on the survey results.
methodsData were obtained from all selected households (n = 12.204). The association between non-response and the selected variables was explored through multilevel logistic regression models with municipality and statistical sector as random effects.
resultsAll investigated variables were significantly related with non-response. Especially households that could not be contacted differed substantially from those who participated. Only post-stratification had a clear impact on the survey results.
conclusionsEven if variables used in the field substitution procedure of health surveys are strongly associated with non-response, the impact of field substitution on the survey results may be minimal, either because there was no bias of relevance or it was not captured. The usefulness of field substitution to correct for non-response bias in population health surveys seems to be quite limited.
Indexed as
Identifiers
23619721What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.