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Prevalence of developmental delay among children: A national study based on administrative database of the
Li-Po Ho1, Yue-Chune Lee1,2
1Institute of Health and Welfare Policy, National Yang-Ming University (now Yang Ming Chiao Tung University) School of Medicine, Taipei, Taiwan.
Insights
The prevalence of developmental delay (DD) in children aged 0-6 in Taiwan significantly increased from 2.0% to 5.7% between 2000-2015. This study highlights the need for equitable healthcare resource distribution for early intervention services.
Area of Science:
- Pediatrics
- Public Health
- Health Informatics
Background:
- Developmental delay (DD) affects children's milestone achievement.
- Traditional ICD coding may underestimate DD prevalence.
- Rehabilitation data offers potential for identifying undiagnosed DD cases.
Purpose of the Study:
- To estimate the prevalence of developmental delay (DD) in children aged 0-6 in Taiwan.
- To analyze DD prevalence by age and sex using modified ICD codes.
- To compare findings with existing government statistics.
Main Methods:
- Generated and modified ICD codes for DD based on National Health Insurance (NHI) claims data.
- Validated ICD codes using expert consensus.
- Analyzed longitudinal NHI data from 2000-2015 to estimate DD prevalence.
Main Results:
- DD prevalence in children aged 0-6 increased from 2.0% to 5.7% (2000-2015).
- The male-to-female ratio ranged from 181-197 males per 100 females.
- The study's prevalence estimate (5.6%) was 229% higher than 2014 government statistics (1.6%).
Conclusions:
- Developed ICD codes accurately estimate DD prevalence and intervention effectiveness.
- Increasing DD prevalence suggests successful early intervention promotion.
- Policy attention is needed for healthcare access disparities in infants and females.
Background:
Developmental delay (DD) indicates a failure to meet the developmental milestones of most children of the same age. Studies based solely on the ICD coding manual may underestimate the prevalence of DD. Real-world use of rehabilitation data may be useful in the identification of more DD children previously undiagnosed with DD.
Aim:
The aim of this study is to estimate the prevalence of DD among children aged 0-6 by age and sex in Taiwan based on modified ICD codes.
Methods:
A list of ICD codes specific to DD (including delays and disabilities requiring early intervention) was generated from the existing ICD codebook and modified based on National Health Insurance (NHI) claims data pertaining to developmental rehabilitation of children aged 0-6. The validity of the codes was subsequently assessed by DD experts in various fields using the consensus development technique. The resulting list was used to estimate the prevalence of DD among children in Taiwan from 2000 to 2015 based on analysis of longitudinal NHI data.
Result:
Between 2000 and 2015, the prevalence of DD among children aged 0 to 6 years increased from 2.0% to 5.7%, and the sex ratio was 181-197 males per 100 females. The prevalence estimate obtained in this study (5.6%) was 229% higher than existing government statistics (1.6%) published in 2014.
Conclusions:
The codes developed using claims data in this study can be used to estimate the prevalence of DD among children and evaluate the effectiveness of intervention programmes. Consistent increases in the prevalence of DD indicate that efforts to promote early intervention have been effective. Nonetheless, the low prevalence rate among 0-2 years children with developmental delay and low prevalence rate of female CWDD means that the policy should notice the lack of access to healthcare services for infants and female children and produce a more equitable or fair distribution of healthcare resources.
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