z-logo
Premium
The feasibility of using local general practice data to estimate the prevalence of childhood disabling conditions
Author(s) -
Lingam R.,
Ellis M.,
Naqvi H.,
Mytton J.
Publication year - 2013
Publication title -
child: care, health and development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.832
H-Index - 82
eISSN - 1365-2214
pISSN - 0305-1862
DOI - 10.1111/j.1365-2214.2012.01385.x
Subject(s) - mental health , medicine , government (linguistics) , medical diagnosis , general practice , service (business) , gerontology , psychiatry , family medicine , linguistics , philosophy , economy , pathology , economics
Aims  This study aimed to assess the feasibility of using general practice data to estimate the prevalence of potentially disabling conditions in young people aged 0–18 years. Background  There are limited data that estimate the prevalence of disabling conditions in children and young people and are suitable to inform service planning. This has been highlighted by several government documents and parent groups. The current study analysed anonymized data from 5 general practices in Bristol, UK ( n  = 10 756 children and young people aged 0–18 years). A comprehensive Read Code list was created to identify children and young people with potentially disabling conditions and the severity of conditions was compared with General Practitioner completed free text within the computerized system. Results  Across these practices an average 4.9% (95% confidence intervals 4.5–5.3) of children and young people had a significant physical or mental difficulty that could impact on their daily living. The most common disabling conditions in our sample were in the ICF category of mental function 36% (including general and specific developmental delays and mental health diagnoses). Conclusion  This study suggests that routinely collected data may provide much needed robust information to inform service provision for some of the most vulnerable children and young people in our communities. It also highlights the need for improved data systems for disability services.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here