Healthcare costs associated with language difficulties up to 9 years of age: Australian population-based study
Survey
LSAC
Date Issued
2013-11
Keywords
children
costs
economic
healthcare
longitudinal
language
Abstract
Aim: Surprisingly little is known about the healthcare costs associated with language difficulties, precluding estimations of the economic implications of service improvements. This study aimed to quantify the non-hospital healthcare costs associated with language difficulties across the early to middle childhood years.
Method: Data from waves 1-3 of LSAC (B and K cohorts) were used to estimate the healthcare costs associated with language difficulties from birth to 9 years. Language difficulties were defined as scores ≤ 1.25 SDs below the mean on measures of communication (0-3 years) and vocabulary (4-9 years). Participant data were linked to administrative data (Medicare) on non-hospital healthcare attendances and prescription medications.
Results: Between 5 to 12% were defined as having a language difficulty at each wave. Two-year healthcare costs were higher for children with language difficulties at each age compared to those without language difficulties, most notably 36% higher (mean $AU206, 95% CI: $90 to $321; p=0.005) at 4-5 years (B cohort) and 29% higher (mean $AU141, 95% CI: $32 to $251; p=0.01) at 8-9 years (K cohort). The majority of costs were attributable to healthcare attendances rather than prescription medications. Two-year government costs ranged from $AU1.2 million at 6-7 years, to $AU12.1 million at 0-1 years when modelled to the Australian population. Six-year healthcare costs increased with the persistence of language difficulties (p=0.002).
Conclusions: Language difficulties are associated with substantial excess population healthcare costs in childhood. Healthcare costs increased with the persistence of language difficulties highlighting the importance of early preventative and remedial interventions.
Method: Data from waves 1-3 of LSAC (B and K cohorts) were used to estimate the healthcare costs associated with language difficulties from birth to 9 years. Language difficulties were defined as scores ≤ 1.25 SDs below the mean on measures of communication (0-3 years) and vocabulary (4-9 years). Participant data were linked to administrative data (Medicare) on non-hospital healthcare attendances and prescription medications.
Results: Between 5 to 12% were defined as having a language difficulty at each wave. Two-year healthcare costs were higher for children with language difficulties at each age compared to those without language difficulties, most notably 36% higher (mean $AU206, 95% CI: $90 to $321; p=0.005) at 4-5 years (B cohort) and 29% higher (mean $AU141, 95% CI: $32 to $251; p=0.01) at 8-9 years (K cohort). The majority of costs were attributable to healthcare attendances rather than prescription medications. Two-year government costs ranged from $AU1.2 million at 6-7 years, to $AU12.1 million at 0-1 years when modelled to the Australian population. Six-year healthcare costs increased with the persistence of language difficulties (p=0.002).
Conclusions: Language difficulties are associated with substantial excess population healthcare costs in childhood. Healthcare costs increased with the persistence of language difficulties highlighting the importance of early preventative and remedial interventions.
Conference Name
Growing Up in Australia and Footprints in Time: The LSAC and LSIC Research Conference
Conference Location
Melbourne, Australia
Conference Start date
2011-11-15
Conference End date
2011-11-16
Type
Conference Presentations
