Capture recapture estimation of the prevalence of mild intellectual disability and substance use disorder
Publication year
2014Author(s)
Number of pages
6 p.
Source
Research in Developmental Disabilities, 35, 4, (2014), pp. 808-813ISSN
Publication type
Article / Letter to editor

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Organization
SW OZ BSI KLP
SW OZ BSI OLO
Cognitive Neuroscience
Primary and Community Care
Journal title
Research in Developmental Disabilities
Volume
vol. 35
Issue
iss. 4
Languages used
English (eng)
Page start
p. 808
Page end
p. 813
Subject
Experimental Psychopathology and Treatment; Learning and Plasticity; Radboudumc 0: Other Research RIHS: Radboud Institute for Health Sciences; Radboudumc 7: Neurodevelopmental disorders DCMN: Donders Center for Medical NeuroscienceAbstract
Persons with mild to borderline intellectual disability (MID) have been identified as a group at risk for substance use disorder (SUD). However, prevalence estimates of co-occurring SUD and MID rely largely on single source studies performed in selected samples. To obtain more reliable population estimates of SUD and MID, this study combines data from an Intellectual Disability Facility (IDF), and an Addiction Treatment Centre (ATC) in a semi-rural area in the Netherlands. Capture-recapture analysis was used to estimate the hidden population (i.e., the population not identified in the original samples). Further analyses were performed for age and gender stratified data. Staff members reported on 88 patients with SUD and MID in the IDF (4.0% of the IDF sample) and 114 in the ATC (5.2% of the ATC sample), with 12 patients in both groups. Only strata for males over 30 years provided reliable population estimates. Based on 97 patients in these strata, the hidden population was estimated at 215. Hence the estimated total population of males over 30 years old with MID and SUD was 312 (95% CI 143-481), approximately 0.16% (0.05-0.25%) of the total population of this age and gender group. This illustrates that while patients with co-occurring SUD and MID often receive professional help from only one service provider, single source data underestimate its prevalence, and thus underestimate treatment and service needs. Therefore, population prevalence estimations of co-occurring SUD and MID should be based on combined multiple source data.
This item appears in the following Collection(s)
- Academic publications [204024]
- Faculty of Medical Sciences [80459]
- Faculty of Social Sciences [27316]
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