Assessing children with disabilities using who international classification of functioning (ICF)
- Author:
Norovnyam P
1
;
Tserendulam N
1
;
Oyunkhand E
1
;
Tuul O
1
;
Amarjargal O
1
;
Baljinnyam B
1
;
Nasantogtokh E
1
;
Altantuya Sh
1
;
Enkhmaa D
1
Author Information
1. National Center for Maternal Child Health
- Publication Type:Journal Article
- Keywords:
Child;
disability;
ICF;
International Classification of Functioning
- From:Mongolian Journal of Obstetrics, Gynaecology and Pediatrics
2022;31(1):2265-2271
- CountryMongolia
- Language:Mongolian
-
Abstract:
Assessing children with disabilities using who international classification of functioning (ICF):Background: In 2021, according to the World Health Organization (WHO), over 1 billion people are estimated to experience disability. The number of children with disabilities globally is estimated at almost 240 million, according to a new UNICEF report. There are approximately 43 million children with disabilities in East Asia and the Pacific. In the 2020 population and housing census of Mongolia, a total of 106.4 thousand people with disabilities were counted, of which 7.6 percent or 8.1 thousand children aged 0-14 were counted. People with disabilities lose some of their ability to labor. WHO recommended that assessment of children with disabilities using both ICD and ICF. Thus, we aim to assess children with disabilities who have neurological disease using International Classification of Functioning and evaluate the validity of this classification.
Materials and methods: This was a cross sectional analytical study based on NCMCH. Study materials were collected from children and guardians through standard questionnaires. The questionnaire consisted of 2 groups: general information of the participant and indicators of the scope of the D code of the "ICF" to assess the childhood disability. According to the indicators of the D code range, activity limitations and participation restriction, disabilities were evaluated. Each question in the questionnaire was measured on a 5-point Likert scale from 0 to 4. The statistical analysis was performed using R 3.5.1 program. Validity was assessed using the Rasch model for each question. Questionnaire reliability was assessed by Cronbach's alpha test.
Results: The study included 32 children aged 2-15 years. Male children were 62.5% of participants, the mean age was 8±3.1 years. Correlation between questions was high (r = 0.79) and reliability was adequate (α=0.94). As a result of Rasch analysis, the mean and standard deviation of the 36 selected parameters were not significantly different from the standardized mean. 3 indicators that did not meet the analysis criteria were removed, and a total of 33 indicators were used to measure childhood disabilities. Mean infit MNSQ was 1.06, mean outfit MNSQ was 0.93. MNSQ of all participants were 1.0 – 2.0. As a result of Rasch analysis, the mean of 33 indicators of disability is -1.6, the standard deviation is 1.2, the upper limit of the mean is 3.6, and the lower limit is -3.4, and the indicator of D code was stable enough to measure disability. The mean code scores were 2.45±1.3. The mean score of disability level of children diagnosed with cerebral palsy was 2.9±1.09, and children hospitalized with seizures and meningitis was 0.5±0.3. Also, the total mean score was 2.61±1.2 in the group with disability and receiving care, and 1.8±0.21 in the group not receiving care, which was a statistically significant difference.
Conclusions: Inter-indicator correlation was good and reliability of the questionnaire was adequate in field use of the 38 indicators of the activity limitations and participation restriction of the International Classification of Functioning, Children's Version (ICF-CY) code range “D”. When evaluated by Rasch analysis, 33 questions were evaluated as structural and stable. The International Classification of Functioning can be used to assess children's disabilities.
Discussions: Niels Ove Illum et al. (2015) found that The World Health Organization International Classification of Functioning, Disability and Health child and youth version d code data can provide a coherent measure of severity of disability in children across various diagnoses, ages, and genders. Results were similar to our study.
- Full text:2025111318370828785П.Норовням 0511.docx
