Prevalence of intellectual disability: a comprehensive study based on national registers.
One register misses half of the people with ID—always combine health, education, and social files before you plan services.
01Research in Context
What this study did
Pitetti et al. (2007) counted every person with intellectual disability in Finland. They linked four national registers: health, social, pension, and special education. The team checked if one register alone would miss people.
What they found
Using only one register caught just a large share of citizens. Merging all four doubled the count to a large share. In plain words, half of the real cases were invisible in any single list.
How this fits with other research
Freeman et al. (2015) copied the multi-register trick in Sweden and added a map. They showed the same rule: more lists equal higher counts, especially in the rural north.
Hermans et al. (2014) looked at the same Finnish adults after they were found. Four out of five had two or more extra health problems. Together the papers say: first find everyone, then plan care.
Bhaumik et al. (2008) found that a large share of UK adults with ID used psychiatric services. Their number makes sense only if the true population is first known; H et al. give that base.
Why it matters
If you write grants, sit on planning boards, or allocate staff, demand linked data sets. Single agency records will low-ball prevalence and leave families waiting. Start every needs assessment with the question: which registers can we merge today?
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02At a glance
03Original abstract
BACKGROUND: Based on standard social benefit registers, the prevalence of intellectual disability (ID) in Finland is estimated to be 0.6%, while epidemiological surveys yield 1.1%. Combining several registers, our aim was to find a more reliable estimate of the prevalence of ID, especially among children and adolescents. This is important when special or inclusive general services are planned to meet the various needs of people with ID. METHOD: A survey based on eight national health and social benefit registers. RESULTS: Combining different registers yielded a mean ID prevalence of 0.70% (95% CI 0.69-0.70%), with marked differences according to sex and age group (range 0.38-0.96%). Capture-recapture analysis gave higher prevalence estimates (range 0.57-1.08%). CONCLUSIONS: When several health and social benefit registers are surveyed, the estimated prevalence of ID increases, approaching that obtained in epidemiological surveys.
Journal of intellectual disability research : JIDR, 2007 · doi:10.1111/j.1365-2788.2007.00970.x