ArticleJournal of epidemiology and community health1999
A small area analysis estimating the prevalence of addiction to opioids in Barcelona, 1993.
Article in Journal of epidemiology and community health, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed.
- The Experience of Implementing Urban HEART Barcelona: a Tool for Action.Journal of urban health : bulletin of the New York Academy of Medicine · 2018Article
- Estimating the likely true changes in rheumatic fever incidence using two data sources.Epidemiology and infection · 2018Article
- Estimating rheumatic fever incidence in New Zealand using multiple data sources.Epidemiology and infection · 2015Article
- Drugscapes and the role of place and space in injection drug use-related HIV risk environments.The International journal on drug policy · 2009Article
- Applying the small-area estimation method to estimate a population eligible for breast cancer detection services.Preventing chronic disease · 2008Article
- Weighing social and economic determinants related to inequalities in mortality.Journal of urban health : bulletin of the New York Academy of Medicine · 2004Article
- Prevalence of problematic cocaine consumption in a city of southern Europe, using capture-recapture with a single list.Journal of urban health : bulletin of the New York Academy of Medicine · 2004Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectiveTo determine the distribution of opioid use prevalence in small areas and its relation with socioeconomic indicators.
designCapture-recapture was applied using data from the Barcelona Drug Information System for 1993 (treatment demands, hospital emergency room visits, deaths from heroin acute adverse reaction and pre-trial prison admissions). To avoid dependence between sources, a log-linear regression model with interactions was fitted. For small neighbourhoods, where capture-recapture estimates were not obtainable, the Heroin Problem Index (HPI) was used to predict prevalence rates from a regression model. The correlation between estimated opioid use prevalence by neighbourhoods and their socioeconomic level was computed. MAIN
resultsThe city's estimated prevalence was 12.9 opioid addicts per 1000 inhabitants aged 15 to 44 years (95% CI: 10.1, 17.2), which represents 9176 persons. The highest rate was found in the inner city neighbourhood. Comparing rates obtained for each neighbourhood with their unemployment rates, a high correlation coefficient was obtained (r = 0.80, p < 0.001).
conclusionThe main contribution of this study is that of combining capture-recapture with the HPI to produce small area prevalence estimates, which would not have been possible using only one method. Areas with higher socioeconomic status showed proportionally low addiction prevalences, but in depressed areas, prevalences varied widely.
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Registered trials
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