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Thaineua V, Sirithongthaworn S, Kanshana S, Isaranurak S, Karnkawinpong O, Benjaponpitak A, Wattanayingcharoen S, Piensrivachara E, Srikummoon P, Thumronglaohapun S, Nakharutai N, Traisathit P, Tangviriyapaiboon D. A 9-year retrospective cohort study of the monitoring and screening of childhood developmental delay in Thailand. Child Care Health Dev 2024; 50:e13233. [PMID: 38345164 DOI: 10.1111/cch.13233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 10/31/2023] [Accepted: 01/25/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND Developmental delay in early childhood can have negative long-term cognitive and psychiatric sequelae, along with poor academic achievement, so early screening and surveillance are paramount. The aim of this study is to evaluate the impact of screening and surveillance on child developmental delay using the Developmental Surveillance and Promotion Manual (DSPM) and the Thai Early Developmental Assessment for Intervention (TEDA4I) for Thai children aged 0-5 years old. METHODS Data were obtained from the routine developmental screening for specific disorders at ages 9, 18, 30, 42 and 60 months conducted using DSPM and TEDA4I from 2013 to 2021. Descriptive statistics were used to analyse the data, and the results are visualised graphically herein. RESULTS Only 56% of the children were screened for child developmental delay using DSPM. The proportion of children screened increased from <1% in 2013 to 90% in 2021. Suspected developmental delay prevalence increased significantly from 3.91% in 2013-2015 to 10.00% in 2016-2018 and 26.48% in 2019-2021. Moreover, of the children with suspected developmental delay who received developmental stimulation within a month, only 87.9% returned for follow-up visits when they were evaluated again using TEDA4I to ascertain any abnormalities and specific areas of deficit. The overall proportion of children diagnosed with developmental delay was 1.29%. During the pandemic, the proportion of screening tests for child developmental delay at routine vaccination visits and follow-ups decreased but was still at least 80% in each region. CONCLUSIONS Since 1%-3% of children have suspected developmental delay, early detection is key to treating it as soon as possible. We anticipate that our findings will raise awareness in parents and caregivers about childhood developmental delay and lead to the implementation of early intervention and follow-up at the rural level in Thailand.
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Affiliation(s)
- Vallop Thaineua
- Department of Health, Ministry of Public Health, Nonthaburi, Thailand
| | | | - Siripon Kanshana
- Thai Breastfeeding Center Foundation, Department of Health, Ministry of Public Health, Nonthaburi, Thailand
| | | | - Opart Karnkawinpong
- Office of the Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand
| | | | | | | | - Pimwarat Srikummoon
- Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
- Medical Statistics and Data Analytics for Child and Youth Well-Being Research Group, Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
| | - Salinee Thumronglaohapun
- Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
- Medical Statistics and Data Analytics for Child and Youth Well-Being Research Group, Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
| | - Nawapon Nakharutai
- Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
- Medical Statistics and Data Analytics for Child and Youth Well-Being Research Group, Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
| | - Patrinee Traisathit
- Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
- Medical Statistics and Data Analytics for Child and Youth Well-Being Research Group, Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
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Neocleous M, Hepworth K, Cavallera V, Gladstone M. Training packages for the use of child development tools in low/middle-income countries: a review. Arch Dis Child 2023; 108:103-107. [PMID: 35606104 DOI: 10.1136/archdischild-2022-323814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 05/12/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND We are now moving beyond the focus of 'child survival' to an era which promotes children thriving and developing rather than simply 'surviving'. In doing so, we are becoming more aware of the large variation of child development screening tools available globally, but in particular, those in low/middle-income countries (LMICs). METHODS This narrative review identifies 24 child development tools used in LMICs. We aimed to identify information on training accessibility and training design, assessment methods and cost of training. For those tools with no training information identified or for any tools identified as providing online training, the tool author was contacted individually to obtain information on the features of the tool's training package. RESULTS Information on training features was identified for 18 tools. All of the tools are identified as screening tools with some also identified as surveillance or assessment tools. The training material for the majority of the tools was not readily accessible and most training packages were proprietary and only available with a face-to-face training design. Other training options included a user manual, training videos or training through an online platform. CONCLUSIONS Training is a key factor when selecting a child development screening or surveillance tool particularly in a low-income or middle-income setting where funds may be limited. The accessibility of training can have a key impact on the implementation and utilisation of tools desperately needed for use in LMICs.
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Affiliation(s)
- Maria Neocleous
- Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - Katelyn Hepworth
- Department of Child, Youth and Family Studies, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Vanessa Cavallera
- Brain Health Unit in Department of Mental Health and Substance Use, WHO, Geneva, Switzerland
| | - Melissa Gladstone
- Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
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Eadie P, Levickis P, McKean C, Westrupp E, Bavin EL, Ware RS, Gerner B, Reilly S. Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort. Front Pediatr 2022; 10:826817. [PMID: 35186809 PMCID: PMC8854765 DOI: 10.3389/fped.2022.826817] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 01/10/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Screening and surveillance of development are integral to ensuring effective early identification and intervention strategies for children with vulnerabilities. However, not all developmental skills have reliable screening processes, such as early language ability. METHOD We describe how a set of early life factors used in a large, prospective community cohort from Australia are associated with language abilities across the preschool years, and determine if either an accumulation of risk factors or a clustering of risk factors provide a feasible approach to surveillance of language development in preschool children. RESULTS There were 1,208 children with a 7-year language outcome. The accumulation of early life factors increased the likelihood of children having low language skills at 7-years. Over a third of children with typical language skills (36.6%) had ≤ two risks and half of the children with low language (50%) had six or more risks. As the number of factors increases the risk of having low language at 7-years increases, for example, children with six or more risks had 17 times greater risk, compared to those with ≤ two risks. Data collected from 1,910 children at 8- to 12-months were used in the latent class modeling. Four profile classes (or groups) were identified. The largest group was developmentally enabled with a supportive home learning environment (56.2%, n = 1,073). The second group was vulnerable, both developmentally and in their home learning environment (31.2%, n = 596); the third group was socially disadvantaged with a vulnerable home learning environment (7.4%, n = 142); the final group featured maternal mental health problems and vulnerable child socio-emotional adjustment (5.2%, n = 99). Compared to developmentally enabled children, the risk of low language at 7-years was greater for children in the three other groups. CONCLUSION The cumulative and cluster risk analyses demonstrate the potential to use developmental surveillance to identify children within the first years of life who are at risk of language difficulties. Importantly, parent-child interaction and the home learning environment emerged as a consistent cluster. We recommend they be adopted as the common focus for early intervention and universal language promotion programs.
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Affiliation(s)
- Patricia Eadie
- Melbourne Graduate School of Education, University of Melbourne, Melbourne, VIC, Australia
| | - Penny Levickis
- Melbourne Graduate School of Education, University of Melbourne, Melbourne, VIC, Australia.,Genetics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Cristina McKean
- School of Education, Communication and Language Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Elizabeth Westrupp
- Deakin University, Centre for Social and Early Emotional Development, School of Psychology, Geelong, VIC, Australia.,Judith Lumley Centre, La Trobe University, Melbourne, VIC, Australia
| | - Edith L Bavin
- Genetics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,School of Psychology and Public Health La Trobe University, Melbourne, VIC, Australia
| | - Robert S Ware
- Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Bibi Gerner
- Melbourne Graduate School of Education, University of Melbourne, Melbourne, VIC, Australia.,Genetics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Sheena Reilly
- Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
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