Abstract
Background
Neurodevelopmental disorders (NDDs) present in approximately 10% of children globally. Awareness of NDDs in sub-Saharan Africa is relatively low and little is known about prevalence. This scoping review aims to understand screening of NDDs in young children in sub-Saharan Africa, which NDDs are screened for, and who administers screening.
Methods
The review was conducted in accordance with the PRISMA-ScR standards for scoping reviews. PubMed, Web of Science, SCOPUS and PsycInfo were searched according to a defined search strategy with relevant keywords. Studies published in English between 2012 and 2023, where children aged ≥ 2 to < 9 years years, residing in sub-Saharan Africa, were screened for a form of NDD, were included. Due to the flexible nature of a scoping review and its focus on under-explored topics, there were no restrictions on study design. Titles and abstracts were reviewed for selection independently by three researchers and full text articles independently by two researchers. Quality assessment was conducted using the Newcastle-Ottawa Scale.
Results
After duplicate removal and title and abstract screening, 546 abstracts were retained for full text review. Twelve publications met the inclusion criteria. These were from South Africa (n = 6), Kenya (n = 3), Uganda (n = 2) and Malawi (n = 1). Only two explicitly screened for multiple NDDs. There was considerable heterogeneity in NDD conceptualisation, study design, screener design, populations of children screened, and persons performing the screening – limiting the possibility for valid comparative analysis. Quality assessment of methodologies yielded ratings ranging from “Very good” to “Unsatisfactory” (cross-sectional studies) and “Good” to “Fair” (cohort- and case-control studies).
Conclusion
There are very few published studies on NDD screening in young children in sub-Saharan Africa. Further research examining simple, contextually appropriate screening for a wide range of NDDs amongst this group, is needed. This may inform future screening programmes, policy development and clinical practice throughout the region.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12888-025-07279-0.
Keywords: Children Screening Neurodevelopment Africa Review
Introduction
The United Nations 2030 Agenda for Sustainable Development has shifted our focus from global child survival to ensuring that every child thrives and achieves their full developmental potential [1]. Healthcare research in sub-Saharan Africa (sSA) has traditionally focussed on communicable diseases like HIV and malaria, along with initiatives to reduce infant mortality [2–4]. Neurodevelopmental disorders, as defined by DSM-5, which we will further describe as neurodevelopmental differences (NDDs) may significantly hinder a child from reaching their potential but are an under-researched area in sSA. Few prevalence studies have been done, perhaps partly due to the lack of screening instruments validated in, and/or designed for the cultural contexts of, sSA. Large scale prevalence studies require reliable screening followed by detailed diagnostic assessment in those who screen positive. This scoping review explores current published research on screening for NDDs in young children in sSA.
NDDs may impact various aspects of a child’s functioning, including cognition, communication, social interaction, and motor skills [5–7]. Prominent among NDDs are attention-deficit/hyperactivity disorder (ADHD), specific learning disorders, autism, impediments in speech, language, and communication, and general learning difficulties [8–10]. The frequent co-occurrence of NDDs complicates the processes of assessment and diagnosis, as well as the selection of effective interventions, often rendering them intricate, protracted, and costly under the current intervention and support paradigm [11–13].
The acronym ESSENCE (Early Symptomatic Syndromes Eliciting Neurodevelopmental Clinical Examinations) was introduced by Prof Christopher Gillberg to underscore the interconnected, interwoven nature of the symptoms of various NDDs in early childhood [14]. Different NDDs will often exhibit shared symptoms and features during early development, complicating their differentiation based solely on observed behaviours [14–16]. A comprehensive, multi-disciplinary approach to challenges in the broader field of child health and development services, is needed [14, 15].
Increasing recognition of the co-occurrence of multiple NDDs [9] has led to recommendations that screening for all NDDs simultaneously is required to inform prevalence studies in low- and middle-income countries (LMIC) [8], to guide further research and policy development.
NDDs may persist across the lifespan and have intergenerational impacts [8, 17]. They may impose a substantial health and financial burden on families and society [18–20]. Early investment in the health, familial, social, and broader environmental contexts for children, has proved to be more cost-effective than addressing health and developmental issues later in life [21, 22].
Understanding the prevalence of NDDs among children is crucial for informing public health research and policy decisions [23–25]. From the few NDD prevalence studies in sub-Saharan Africa (sSA) observed rates have ranged widely between 2.9% and 18.7% [6, 26, 27]. Namazzi et al. [6] highlighted that inconsistencies in reported prevalence rates across the African continent are due to differing definitions of NDDs, variations in age of assessed children, and the use of various measurement tools. Context-specific socio-cultural- and language factors and differences may affect symptom presentation, understandings and responses to symptoms and signs of NDDs as well as help-seeking behaviour.
Screening and assessment for NDDs are especially relevant in environmentally deprived settings in sSA, where access to specialised healthcare may be limited [8, 27]. Children in LMICs, such as those in sSA, often confront a multitude of adverse conditions stemming from structural disadvantages [28, 29]. These include inadequate sanitation, poverty, overcrowded living arrangements, insufficient nutrition, limited access to psychosocial stimulation, and exposure to violence [22, 27], all of which add to the accumulated disadvantage experienced by children in these settings. Additional health factors, such as maternal mental health [30] and the adverse exposures experienced by children born to women living with HIV, must be considered in this package of early childhood exposures [31].
Early adversities have profound effects on children’s educational attainment [21] and may lead to delayed physical, social, emotional, and cognitive development - potentially contributing to NDDs among children in LMICs [27, 32, 33]. Numerous early adverse childhood events (ACEs) have been associated with neurodevelopmental challenges, including motor dysfunction, language and cognitive impairment, developmental delays, and social-behavioural issues [6, 34–36].
Screening is defined as a brief, easily administered test that does not result in formal diagnosis but can indicate elevated risk of a certain condition, whilst NDD assessment is a more comprehensive, clinical evaluation that is conducted after screening, to clarify diagnosis and guide intervention. Screening for NDDs may indicate whether a child is on the expected developmental track, allowing for further referral if concerns are identified [37]. Many, if not most, screening tools have been developed and validated in high income countries. These screening tools may not be cross-culturally applicable and may be inadequately translated when used in other settings, which could affect screening scores. Additionally, in sSA a considerable amount of public health care screening is performed by auxiliary health workers or persons who may possess little to no formal training in the conditions for which they are screening. There is thus a need to contribute to and develop further understanding of current screening processes, as well as possible factors that render screening processes and instruments feasible for implementation within sSA, as early NDD screening should form the first pathway to intervention for these children and their families.
The present review aims to establish the scope of existing literature on screening for NDDs in young children in sSA. Scoping reviews may be usefully employed in under-explored areas of study to identify and consider existing research.
Objective
This review sought to examine existing research into the screening of children aged ≥ 2 to < 9 years in sSA and to answer the question: For what NDDs are children age ≥ 2 to < 9 years years in sSA being screened, what screening tools are being used, and who is administering the screens? A secondary objective was to examine factors that optimise or constrain the benefits of screening instruments used, or factors that facilitate an effective screening programme, if these are described in the studies found.
Methods
The scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Review (PRISMA-ScR) standards (Appendix A) [38]. PubMed, Web of Science, SCOPUS and PsycInfo were searched according to a defined search strategy, developed with input from a librarian, including key words such as “neurodevelopmental”, “screening”, “child” and the names of all sSA countries (full list reported in Appendix B).
Inclusion criteria
We searched for studies that screened for NDDs as conceptualised in the ESSENCE framework [39]: ADHD with or without Oppositional Defiant Disorder/Conduct Disorder (ODD/CD); Language Disorder including antecedents of dyslexia; Developmental Coordination Disorder (DCD); Autism; Intellectual Disability/Intellectual Developmental Disorder (IDD); Borderline Intellectual Functioning; Tic disorders/Tourette syndrome; Obsessive Compulsive Disorder; Behavioural Phenotype Syndromes including Fetal Alcohol Spectrum Disorders; epilepsy syndromes; other neurological/neuromuscular disorders including Cerebral Palsy, Sturge-Weber Syndrome, Duchenne muscular dystrophy, myotonic dystrophy, Landau-Kleffner Syndrome; febrile seizures; HIV-associated Neurocognitive Disorder Paediatric Acute-onset Neuropsychiatric Syndrome (PANS); Paediatric autoimmune neuropsychiatric disorders associated with Streptococcus infections (PANDAS); and any global or domain specific developmental delay or cognitive/neurocognitive impairment.
Only studies published in English were included for reasons of feasibility and resource availability. Only studies published from January 2012 until December 2023 were included, to ensure current relevance. Studies had to include participants who were (i) ≥ 2 to < 9 years of age and who were potentially in either formal or informal preschool or care or early education settings, or in the first grade of school; and (ii) residing in sSA.
Exclusion criteria
Studies making use of diagnostic instruments, tools or procedures only, without using screening tools, were excluded; as were studies of visual and/or auditory impairments only. Due to the flexible nature of a scoping review and the aim to scope literature in an under-explored topic there were no restrictions on study design, including qualitative and quantitative studies, or other research methodological considerations.
Search strategy
The search strategy aimed to locate published studies. Unpublished studies or grey literature was not included. Scoping and systematic reviews were considered secondary sources and were therefore also excluded but were reviewed for relevance to our topic. An initial limited search of PubMed was undertaken to identify articles on the topic. The text words contained in the titles and abstracts of relevant articles, and the index terms used to describe the articles were then used to develop a full search strategy for PubMed, Web of Science, SCOPUS and PsycInfo. The search strategy underwent appropriate adjustments for each included database, incorporating specific keywords, index terms, and database specifications identified during the search strategy process (as shown in Appendix A). A senior librarian was consulted to assist with designing and refining search strings based on inclusion criteria. An initial search was conducted in March 2023 and a second search in March 2024 to identify any new articles that may have been published since the initial search. No authors were contacted for additional data.
Study/ Source of evidence selection
Following the search, all identified citations were collated and uploaded into the Mendeley Reference Management System [40] and duplicates removed. From here, a.bibtex file was uploaded onto Rayyan [41], a web application for systematic reviews, scoping reviews, and literature, where a second detection of duplicates was undertaken.
Titles and abstracts were screened independently in triplicate by BT, EI and a research assistant for eligibility according to the inclusion criteria. The full texts of potentially relevant sources were further reviewed in duplicate (BT and EI) against inclusion criteria. Any disagreements between reviewers were resolved through discussion including an additional reviewer (PC). Reasons for exclusion at full text review were recorded.
Data extraction and quality assessment
Data was extracted from included papers by two independent reviewers (BT and EI) according to specified table headings. The data extracted included specific details about the participants, concept, context, study methods and key findings relevant to the review questions. Any disagreements between the reviewers through discussion, or through an additional third reviewer (PC).
Quality assessment was conducted using the Newcastle-Ottawa Scale (NOS) [42]. This quality assessment scale was designed for non-randomised studies, specifically cohort- and case control studies. It has also been adapted for use with cross-sectional studies [43]. The relevant version of the NOS for each study type was used (appendix C). Two independent raters (LT and PC) assessed each article and a third (BT) moderated a consensus process.
Results
A total of 732 studies were found: 214 on PubMed; 104 on Web of Science; 276 on SCOPUS and 138 on PsycInfo. After duplicated articles were deleted, a total of 546 abstracts of studies were retained for further review. The results of the search and the study inclusion process are reported in a PRISMA-ScR flow diagram (Fig. 1) [38].
Fig. 1.
PRISMA-ScR flow diagram of search process. ª These articles overlapped with the age range 2- to 8 years but also included children between 0 and 2 years. Since reported findings were not stratified according to age, data for those 2 years and over could not be extracted. Therefore, these articles were excluded from this scoping review as the focus was not on infants
Twelve articles representing ten unique studies were included; six from South Africa, three from Kenya representing one large study, two from Uganda and one from Malawi. Of these, six articles included children age 9 years (range: 2–9 years or 6–9 years). It was decided to retain these articles as this age difference was not considered to meaningfully alter the extent of the group’s consistency with the research question. The focus remains on young children, as all children in these groups still fall below the period defined as adolescence by the WHO, which is 10 to 19 years [44].
Nine further studies were found that met all inclusion criteria except that children under the age of 2 years were also included, along with older children. The results of these studies were not age-disaggregated hence it was not possible to extract only the data pertaining to children aged 2–8 years. As infant neurodevelopment is more rapidly evolving and not the focus of our scoping review, these 9 studies were excluded. Some of these studies will nevertheless be referred to in the Discussion.
Two of the 12 included articles described screening explicitly for several types of NDDs [45, 46]. One formed part of a larger study that screened for various NDDs, but focused primarily on epilepsy [47]. Four articles focused on one specific NDD only. The remaining five screened for developmental delay only but considered several domains of functioning within this concept (e.g. gross motor, fine motor, communication, cognition, social-personal). The 12 articles were of a heterogeneous nature and are therefore individually summarised below (Table 1).
Table 1.
Data Extraction Summary of 12 Articles Utilising Neurodevelopmental Screening Tools in sub-Saharan Africa.
| Author, year of publication, country | Study design and setting | NDDs being screened for | Screening tool used | Who administered screening? | Sample size and participants | Method of outcome measurement | ||
|---|---|---|---|---|---|---|---|---|
|
Kakooza-Mwesige et al., 2014, Uganda |
Cross-sectional. Assessed the clinical validity of an adapted screening tool. Population-wide sampling through household screening in rural and urban parishes in Uganda selected through cluster sampling. |
Cognitive and motor impairment, seizure disorders, autism, serious speech-, vision- and hearing impairments |
23Q consisting of WHO TQ, 10 additional ASD questions and 3 questions about vision, hearing, and seizures. Translated into Luganda. |
Research assistants, initially accompanied by ‘parish mobilisers’ (individuals known in community who helped facilitate participation) | 1169 children aged 2–9 years | Clinical assessment by a medical officer blinded to screening outcomes. Children with suspected disabilities were referred to experienced specialists for assessment and diagnosis. | ||
| Bitta et al., 2021, Kenya |
Population-wide, cross-sectional, two-stage epidemiological study. Screening of randomly selected children followed by detailed assessments. Conducted in Kilifi County, Kenya. |
Presence of NDDs including ADHD, autism, epilepsy and cognitive impairment. |
NDST TQ Translated into Kiswahili. |
Trained interviewers fluent in the local dialects conducted home visits to explain the study to parents, obtain informed consent and administer screening questionnaires | 11,223 children aged 6–9 years living in the Kilifi area | Clinical history and neuro-psychological assessments – several specialist assessments (e.g. ADOS, Ravens Matrix) according to relevant problem areas. | ||
|
Kariuki et al., 2020, Kenya |
Cross-sectional study nested within a large population-wide epidemiological study (using NDST) in Kilifi, Kenya. Assessed reliability of ADHD-module of K-SADS-PL to screen for ADHD. | ADHD | ADHD module of the K-SADS-PL – used in interview with parents | Neuropsychological assessors and primary health care workers trained and supervised by a Child & Adolescent Psychiatrist | 2,074 children aged 6–9 in the community |
Supplement ADHD module of K-SADS-PLK. Clinical assessment by blinded Child & Adolescent Psychiatrist for a sample of 20 children with and without ADHD. |
||
|
Kind et al., 2017, Kenya |
2-stage cross-sectional population-wide study nested within large two-stage epidemiological study in Kilifi. | Epilepsy |
NDST Translated into Kiswahili |
11,223 randomly selected children aged 6–9 |
Clinical assessment EEG Risk factor questionnaire. |
|||
|
Arinda et al., 2020, Uganda |
Cross-sectional study assessing the prevalence of autism symptoms among children attending the paediatric neurology outpatient clinic at Mulago Hospital, Uganda. | Autism spectrum disorder | SCQ | Administered by the researcher (a psychiatrist) and two mental health nurses. | 318 children aged 2–9 years attending the paediatric neurology clinic of Mulago Hospital. |
No further assessment (screen positives were directed to the child and adolescent mental health clinic for further assistance). |
||
|
Mazibuko & Chimbari, 2020, South Africa |
Cross-sectional study using children from general population; descriptive in nature. Developing and evaluating a new screening tool for use in rural isiZulu-speaking part of South Africa. | Receptive language skills |
Ingwavuma Receptive Vocabulary Test (newly developed tool in isiZulu) |
Clinicians | 51 children aged 4 - <7 monolingual isiZulu speakers attending isiZulu medium pre-schools around a rural village | None | ||
| Venter et al., 2015, South Africa | Cross-sectional validation study, evaluating reliability and validity of screening tool | Develop-mental coordination disorder | Little DCDQ | Questionnaires completed by parents at home; illiterate parents were requested to visit school where translators helped them complete the questionnaires | 53 children age 3–5 years attending 5 pre-schools in the area | Movement Assessment Battery for Children − 2 as gold standard assessment | ||
|
Du Toit et al., 2021, South Africa |
Cross-sectional study screening pre-school children from low-income communities around the City of Tshwane, selected through stratified random sampling. |
Develop-mental delay (included 8 domains of functioning) | mHealth PEDS developmental screening | Smartphone application completed by caregivers. | 276 children aged 36–83 months attending ECDs in identified area. |
Vineland-3 (Comprehensive caregiver form completed by carers at home; collected ± 1 week later from ECD centres) |
||
|
Devendra et al., 2013, Malawi |
Case-controlled study with children selected from a paediatric anti-retroviral centre in Lilongwe, Malawi. | Presence and types of disability | WHO TQ | Trained study assistant | 296 children with HIV aged 2–9 attending HIV treatment services and their siblings without HIV as paired controls. |
No clinical assessment to confirm disability Clinical data extracted from electronic medical records if available. |
||
| Knox et al., 2018, South Africa | Cross-sectional observation study nested in the larger, longitudinal Asenze study in the Kwa-Zulu Natal province, characterised by peri-urban dwellings, high HIV rates, food insecurity and unemployment | Develop-mental disability |
TQ Translated into isiZulu |
Not specified | 1, 787 children aged 4–6 years identified through household visits. |
Disability assessment conducted by a medical doctor Reynell assessment for language delay and Grover Counter test administered by independent psychological assessors |
||
|
Shuffrey et al., 2021, South Africa |
Subset of data from the multi-centre ‘Safe Passage’ prospective cohort study, examining the association between prenatal maternal mental health and child neuro-development at age 3 years. | Child social-emotional and cognitive develop-ment |
BSID-III ST Brief Infant Toddler Social Emotional Assessment |
Not specified | 600 maternal-infant pairs | Outcome on screening instrument was considered indicative of outcome | ||
|
Brittain et al., 2022, South Africa |
Cohort study at a large primary care clinic in a peri-urban township near Cape Town. Part of larger ‘MCH-ART’ study on supporting women living with HIV through pregnancy and post-partum. | Five domains of child deve-lopment and socio-emotional develop-ment |
ASQ-3 ASQ-SE Translated into isiXhosa |
Not specified | 353 women living with HIV attended the study follow-up visit after child was born; 266 attended with their child. | Outcome on screening instrument was considered indicative of outcome | ||
Abbreviations: 23Q, 23 Item Questionnaire, ADOS Autism Diagnostic Observation Schedule, ASQ-3 Ages & Stages Questionnaire – Third Edition, BSID-III ST Bayley Scales of Infant Development Third Edition Screening Test, DCDQ Developmental Coordination Disorder Questionnaire, ECD Early Childhood Development, K-SADS-PL Kiddie Schedule for Affective Disorders and Schizophrenia - Present and Lifetime Version, NDD Neurodevelopmental Disorders, NDST Neurodevelopmental Screening Tool, PEDS Parent’s Evaluation of Developmental Status, SCQ Social Communication Questionnaire, TQ Ten Questions Questionnaire, WHO World Health Organisation.
Kakooza-Mwesige et al. [46] created the 23-Question Screener (23Q), using the existing WHO Ten Questions (TQ) screening questionnaire [48] with an additional 10 questions pertaining to ASD and 3 pertaining to hearing, vision and seizures. The 23Q was used with a sample of 1169 children between the ages of 2–9 years from a balanced urban-rural population in Uganda. Of these, 27% were screen-positive and received subsequent clinical and specialised assessments. Prevalence of 10–13/100 children for seven combined NDDs, including autism, was estimated. The 23Q demonstrated feasibility in a low-resource setting, with variable sensitivity (0.55–0.80) and specificity (0.77) depending on different assumptions. Despite challenges such as attrition and cultural factors impacting participation, the authors reported the screener as having potential for identifying children with NDDs in resource-limited settings.
Bitta et al. [45] sought to validate the use of the Neurodevelopmental Screening Tool (NDST) in Africa whilst establishing population prevalence within a large, two-stage epidemiological study in the Kilifi district in Kenya involving 11 223 children. The TQ was additionally employed. Those who screened positive and a portion of those who screened negative, were invited for comprehensive clinical- and neuropsychological assessments in the second stage of the study. The authors found high sensitivity (87.8%) and specificity (83.3%) on the NDST as a whole, concluding that it may be reliably used to screen for NDDs in a rural part of Africa. The NDST was considered preferable to the TQ because of its psychometric properties and inclusion of questions about ADHD and autism, thus screening for a broader array of NDDs. Trained interviewers, fluent in the local dialect, were used to administer the screens.
As part of the same large epidemiological study in Kilifi, Kenya, Kariuki et al. [49] conducted a comprehensive assessment of the efficacy of the ADHD module of the ‘Kiddie Schedule for Affective Disorders and Schizophrenia - Present and Lifetime Version’ (K-SADS-PL) in screening and diagnosing ADHD among children in Kenya. 2,074 children aged 6 to 9 years were screened using the ADHD module of the K-SADS-P, translated into Kiswahili. This was administered by assessors trained by a Child & Adolescent Psychiatrist, who also provided weekly supervision to assessors. 18.5% (385) reached the threshold and proceeded to further assessment using the diagnostic supplement of the ADHD K-SADS-PL module, and 77.4% of these received a diagnosis of ADHD. Minimal overlap with generalised anxiety disorder and substantial overlap with ODDs were found. The study reported excellent item reliability coefficients for both the screening and supplemental stages, and strong standardised coefficients. High sensitivities (~ 97%) and specificities (~ 95%) in the screening component supported the effectiveness of the ADHD K-SADS-PL module in identifying children in need of clinical assessment in resource-limited settings.
Kind et al. [47] focused on the prevalence of epilepsy as part of the same large Kenyan epidemiological study. Of the 11,223 children screened using the NDST, 21% screened positive for neurological disorders. Of these, 69.5% were seen for clinical assessments. Prevalence rates of 20.9 per 1,000 for lifetime epilepsy and 68.8 per 1,000 for acute symptomatic seizures, were established. Significantly, 70.4% of those eventually diagnosed with epilepsy screened positive for epilepsy; the remainder screened positive for other neurodevelopmental conditions such as autism and ADHD, on the NDST. Kariuki et al. [50] screened for acute seizures as part of this same large Kenyan epidemiological study, but this study was excluded from our results for the sake of consistency, due to the age range of included children having been 1 to 6 years.
In Uganda, Arinda et al. [51] used the Social Communication Questionnaire (SCQ) to screen for the possible presence of autism symptoms in children attending a paediatric neurology clinic. The principal investigator (a psychiatrist) and two research assistants (mental health nurses) administered the screens. Their findings showed that 45% of participants exhibited notable autism symptoms, with correlations found between delayed developmental milestones, speech difficulties, and the presence of autism symptoms.
In the domain of language development, Mazibuko and Chimbari [52] identified the need for home-language screening tools in the multilingual context of South Africa. They developed the Ingwavuma Receptive Vocabulary Test (IRVT) to screen for and assess receptive language in isiZulu. The IRVT was tested on children with a mean age of 5.7 years. It was identified that certain adjustments were required to better accommodate contextual and biopsychosocial factors.
Venter et al. [53] evaluated the psychometric properties of the Little Developmental Coordination Disorder Questionnaire (Little DCDQ) by screening, and then conducting gold standard assessments with, 53 children aged 3–5 years. They found good internal consistency (Chronbach’s Alpha, r = > 0.8), poor sensitivity (57.1%) and good specificity (81.3%).
Also in South Africa, Du Toit et al. [54] conducted a cross-sectional within-subject study where 276 children aged 36–83 months were screened for developmental delays using the Parental Evaluation of Developmental Status (PEDS) tools [55] in a smartphone-based mHealth application. The study took place in low-income communities affected by unemployment, poverty and undernutrition around the city of Tshwane. The aim was to validate the use of the mHealth-based PEDS by evaluating outcomes against a standard reference assessment tool, the Vineland-3. Eight domains of development were considered for possible delays. A sensitivity rate of 92.6% was found but specificity was only 22.5%. Considerations for specificity improvements were provided.
Two of the articles found screened for neurodevelopmental challenges in children with HIV. Devendra et al. [56] conducted a case-control study involving 296 children with HIV and their siblings without HIV. Disabilities were screened for using the TQ screener. The odds of children with HIV having a disability were found to be 8 times higher than those of their siblings without HIV. The study reports significant under-recognition and under-reporting of developmental disabilities prior to screening. Approximately half of all cases had two or more co-existing disabilities, highlighting the need for holistic, multi-disciplinary support services. Knox et al. [57] also used the TQ screener, translated into isiZulu, to detect developmental disability in children with and without HIV in South Africa. 1787 children were screened at their homes. Of these, 1581 reported for a follow-up disability assessment by a medical doctor. The TQ was found to have high sensitivity for detecting serious developmental disabilities in children with and without HIV (100% and 90.2%), but low specificity (51.2%) and low positive predictive value (12.5%) among children with HIV. The study observed that HIV in children was associated with disability indicators such as delayed motor skills.
The impact of maternal wellbeing on early childhood development was the focus of a study conducted in South Africa by Shuffrey et al. [58]. Children born to mothers with increased exposure to ACEs and with depression and anxiety, were screened for cognitive-, language- and motor delays using the Bayley Scales of Infant Development III - Screening Test. Lower cognitive scores were found among children born to mothers with concurrent prenatal depression and trait anxiety. Additionally, increased socioemotional problems were found in the same group. No further assessment to confirm screening outcomes were reported.
Brittain et al. [59] also focused on maternal psychosocial challenges. Conducted within a larger study longitudinally following pregnant women with HIV, 266 children were assessed at 36–60 months follow-up using the Ages & Stages Questionnaire: Third Edition (ASQ-3). Here, maternal ACEs were associated with poorer socioemotional development in children, but not with impaired functioning on 5 neurodevelopmental domains. No further assessment to confirm screening outcomes were reported.
Quality assessment using the NOS yielded ratings ranging from “Very good” to “Unsatisfactory” (cross-sectional studies) and “Good” to “Fair” (cohort- and case-control studies) (Appendix D).
Discussion
This scoping review examined existing research on the use of neurodevelopmental screeners amongst children aged 2- to 8-years in sSA. Twelve articles representing 10 distinct studies were found. A variety of screening tools were used, screening for either one specific type of NDD, general developmental delay across different developmental domains, or for a variety of NDDs. Many made use of trained assistants for screening, while researchers themselves conducted screening in others, or parents completed questionnaires at home. Population-wide screening has been undertaken in some population groups in certain countries (notably, 45, 46).
That only 12 articles were found published since 2010 that met our search criteria, supports the findings of a systematic review and meta-analysis conducted by Rah et al. [60] who comprehensively clarified the need for more screening studies in LMIC as well as in marginalised groups within high-income countries. The published articles found in the present scoping review were from only 4 of the 46 countries in sSA - South Africa, Kenya, Uganda, and Malawi. While this will have been influenced by language of publication, evidence related to screening for NDDs in early childhood appear to occur in ‘pockets’ across various populations in sSA. We found great variability regarding the NDDs screened for. Most studies screened for specific NDDs or general delays, whereas three used instruments that screen for a range of NDDs.
The variation in quality assessment ratings obtained using the NOS, should be considered against the fact that most of the assessed studies focused on the creation of new knowledge in relatively under-researched fields, or on the validation of a screener in particular contexts. There may therefore be limitations to the comprehensive adequacy of the NOS outcomes in reflecting the value and relevance of these studies. Several of the studies did not explicitly indicate the comparability of respondents and non-respondents in the event of unsatisfactory response rate, or explicitly establish comparability of outcome groups (through study design or analysis that control for confounding factors). However, most of the reviewed studies are aligned with recommendations that NDD screening processes in sSA should be contextually appropriate and linguistically accessible. As such, these studies collectively fulfil a crucial need.
Validation of screening instruments for use in the local context, as well as contextually specific adaptations of the screening process, emerged as important themes in these articles. Some aimed to validate specific or adapted screeners; some created new screeners; and several translated existing screeners that are already used in other countries, into local languages. Kakooza-Mwesige et al. [46] describe processes of extensive community consultation and involvement engaged in prior to rolling out a screening project. They described context-specific challenges including challenges for parents to attend follow-up assessments as travel distances required time to be taken off from work. This highlights the barriers, in many parts of sSA, to accessing service-delivery settings where NDD screening and sustained follow-up services are undertaken.
In several of the articles in our sample, screening did not form part of a greater programme of accessible, multi-disciplinary diagnostic and intervention services. Resource constraints played a role in this regard in some studies and is mostly a factor requiring considerable ongoing development across the region. However, in some cases screening did lead to further clinical assessment and possible diagnoses of an identifiable NDD. Kakooza-Mwesige et al. [46] followed screening for seven NDDs with detailed assessment. Bitta et al. [45] and Kind et al. [45] employed a similar two-stage model, reflecting a move towards broader neurodevelopmental screening across a range of NDDs.
Depending on the focus of the investigation, some studies evaluated screens against a standard reference assessment, for example the Vineland-3 in Du Toit et al. [54]. Others referred those that screened positive onwards to local clinics for further assessment, but such further support trajectories and their outcomes were not described further (e.g. 51).
Some of the studies provided specific information regarding who administered the screening and what support they were given [49, 51]. Information about the precise extent of initial training provided to screening personnel was generally limited. These are important considerations, due to the relative shortage of trained medical professionals and the many cultural, linguistic and socio-economic variables across sSA. Training community care workers who are not health professionals to conduct screening, can increase the capacity for larger scale screening projects in the region.
Using of existing screening instruments on a smartphone-based platform - such as the mHealth PEDS [54] - offers promising avenues for improving accessibility in underdeveloped areas. mHealth has been widely used and researched in South Africa [61] for a variety of purposes. In neurodevelopmental screening, increased accessibility remains a potential advantage of this medium.
Screening tools are valuable resources for healthcare professionals, educators, and caregivers. They aid in the identification of potential concerns during critical growth periods and enable prompt intervention and support [10, 54]. Importantly, screening for NDDs in young children aligns with the growing consensus favouring holistic responses to childhood development needs [13, 21, 23]. Effective and appropriate neurodevelopmental screening requires a clear concept of who should be screened, for what they should be screened, when, and by whom. Clarification of these elements of screening for NDDs in sSA requires a significant amount of further study.
There has been a notable lack of emphasis on recognising and strategizing for developmental concerns in children in Africa [54, 62–64]. A critical challenge lies in the limited research validation of practical toolsets in this context - particularly in regions where cultural and linguistic factors impact on the applicability of existing tools [52]. Some screening for NDDs has started to take place in certain parts of sSA, and awareness of NDDs is growing in some specific clinical settings in the region [49]. Important themes emerging from existing research include the importance of community involvement and -consultation in preparation for screening; sensitivity to linguistic and cultural factors; finding creative ways to improve accessibility of services; and optimising professional resources by training assessors who may be supervised by senior clinicians.
Such factors received considerable attention, too, in some of the articles we excluded due to the age range of participating children, which overlapped with ours but included infants. Botes et al. [65] describe robust community involvement in considering the cultural and linguistic appropriateness of the PEDS screening instrument for children aged 0 to 8 years in South Africa. Chambers et al. [66] describe extensive preparation and foundational work to ensure community support for, as well as participation in, assessing the cultural appropriateness of early autism detection tools amongst children aged 12 to 48 months in an isiZulu community in South Africa. Translation of an Autism screener into another South African language, Northern Sotho, was the focus ofVorster et al. [67, 68], who used the Modified Checklist for Autism in Toddlers (M-CHAT) with children aged 18 to 48 months.
This scoping review highlights pragmatic challenges to overcome in undertaking screening of NDDs amongst young children in under-resourced sSA communities, including ensuring the contextual and linguistic appropriateness of screening tools used and ensuring community involvement.
Limitations of this study include the fact that our search parameters – including age limits, search terms used, and searching four large English-language databases only - may have led to some appropriate studies being missed. It is recognised that a search of studies screening for NDDs across wider age ranges, to potentially identify studies with data aggregated by age, may have added additional information to this scoping review.
Implications for further research
Further research to validate rapid, reliable, contextually appropriate NDD screening instruments in sSA is needed. Screening practice which considers all the signs and symptoms of neurodevelopmental challenges associated with NDDs, would support the early detection of a wider range of NDDs. Screening for only one area of neurodevelopment risks missing potential other co-occurring neurodevelopmental conditions. Appropriate, effective screening is the first step to provide population-based prevalence data which may in turn inform public health policy, including resource allocation at government level, for the development of comprehensive diagnostic and support services.
Supplementary Information
Acknowledgements
We wish to acknowledge the kind assistance of Mr Yusuf Ras from the Stellenbosch University Library during the database search process. We are also very grateful to Ms Charlene Purdy and Mr Jacques Nel for their invaluable contributions as research assistants.
Abbreviations
- 23Q
23 Item Questionnaire
- ACE
Adverse Childhood Events
- ADOS
Autism Diagnostic Observation Schedule
- ADHD
Attention-deficit/hyperactivity disorder
- ASQ-3
Ages & Stages Questionnaire – Third Edition
- BSID-III ST
Bayley Scales of Infant Development Third Edition Screening Test
- CD
Conduct Disorder
- DCD
Developmental Coordination Disorder
- DCDQ
Developmental Coordination Disorder Questionnaire
- ECD
Early Childhood Development
- ESSENCE
Early Symptomatic Syndromes Eliciting Neurodevelopmental Clinical Examinations
- ID
Intellectual Developmental Disorder
- IRVT
Ingwavuma Receptive Vocabulary Test
- K-SADS-PL
Kiddie Schedule for Affective Disorders and Schizophrenia - Present and Lifetime Version
- LIMC
Low- and middle-income countries
- NDDs
Neurodevelopmental disorders
- NDST
Neurodevelopmental Screening Tool
- NOS
Newcastle-Ottawa Scale
- ODD
Oppositional Defiant Disorder
- PANDAS
Pediatric autoimmune neuropsychiatric disorders associated with Streptococcus infections
- PANS
Pediatric Acute-onset Neuropsychiatric Syndrome
- PEDS
Parent’s Evaluation of Developmental Status
- PRISMA-ScR
Preferred Reporting Items for Systematic Reviews and Meta-Analyses - Extension for Scoping Reviews
- SCQ
Social Communication Questionnaire
- sSA
sub-Saharan Africa
- TQ
Ten Questions Questionnaire
- WHO
World Health Organisation
Authors’ contributions
BT, PC and IE contributed to the main manuscript text; EB and CG conceptualised the study design; AS, LT, EB and CG supervised the work; IE, BT, PC and LT performed the review of the articles. All authors reviewed the manuscript.
Funding
Open access funding provided by University of Gothenburg. The study was made possible through private donations from Allan & Gill Gray Philanthropies and Hennis & Nina de Jongh. None of the donors played any role in the conceptualisation or implementation of the study itself or the writing of the manuscript.
Data availability
No datasets were generated or analysed during the current study.
Declarations
Ethics approval and consent to participate
Not applicable.
Competing interests
BT and PC work for the Neurodiversity Centre, a privately owned service for individuals with neurodevelopmental concerns in South Africa. We do not believe that this had any impact on the results presented in the paper. ALS is employed by Elsevier for The Lancet Child & Adolescent Health. Her contribution to this work was made under her affiliation with Stellenbosch University and not as an Elsevier employee.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.United Nations. Transforming our world: the 2030 Agenda for Sustainable Development [Internet]. [place unknown]: United Nations; 2015 [cited 2018 Sep 3]. Available from: https://sustainabledevelopment.un.org/post2015/transformingourworld/
- 2.Amek NO, Van Eijk A, Lindblade KA, Hamel M, Bayoh N, Gimnig J, Laserson KF, Slutsker L, Smith T, Vounatsou P. Infant and child mortality in relation to malaria transmission in KEMRI/CDC HDSS, Western kenya: validation of verbal autopsy. Malar J. 2018;17(1). 10.1186/s12936-018-2184-x. [DOI] [PMC free article] [PubMed]
- 3.Chanda-Kapata P, Ntoumi F, Kapata N, Lungu P, Mucheleng’anga LA, Chakaya J, Tuberculosis. HIV/AIDS and malaria health services in sub-Saharan Africa – a situation analysis of the disruptions and impact of the COVID-19 pandemic. Inter J Infect Dis. 2022l 124, S41–S46. 10.1016/j.ijid.2022.03.033 [DOI] [PMC free article] [PubMed]
- 4.Sarpong E, Acheampong DO, Fordjour GNR, Anyanful A, Aninagyei E, Tuoyire DA, et al. Zero malaria: a mirage or reality for populations of sub-Saharan Africa in health transition. Malar J. 2022. 10.1186/s12936-022-04340-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Elella AE, Tawfik SS, Abo El Fotoh MAM WMM, Barseem NF. Screening for developmental delay in preschool aged children using parent-completed ages and stages questionnaires: additional insights into child development. Postgrad Med J. 2017;93(1104):597–602. 10.1136/postgradmedj-2016-134694. [DOI] [PubMed] [Google Scholar]
- 6.Namazzi G, Hildenwall H, Mubiri P, Hanson C, Nalwadda C, Nampijja M, et al. Prevalence and associated factors of neurodevelopmental disability among infants in Eastern Uganda: a population based study. BMC Pediatr. 2019. 10.1186/s12887-019-1769-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ozawa E, Takahashi K, Harizuka S. Prevalence of neurodevelopmental disorders in Japanese children’s homes. Psychology. 2018;9:911–24. 10.4236/psych.2018.95056. [Google Scholar]
- 8.Bitta M, Kariuki SM, Abubakar A, Newton CRJC. Burden of neurodevelopmental disorders in low and middle-income countries: a systematic review and meta-analysis. Wellcome Open Res. 2017;2: 121. 10.12688/wellcomeopenres.13540.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Francés L, Quintero J, Fernández A, Ruiz A, Caules J, Fillon G, et al. Current state of knowledge on the prevalence of neurodevelopmental disorders in childhood according to the DSM-5: a systematic review in accordance with the PRISMA criteria. Child Adolesc Psychiatry Ment Health. 2022. 10.1186/s13034-022-00462-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Nel J, Kafaar Z. Neurodevelopmental screening accessibility: Translating the Autism-Tics, ADHD & Other Comorbidities [A-TAC] inventory into isiXhosa and Afrikaans. [Internet]. 2022 Apr [cited 2023 Nov 11]. Available from: https://scholar.sun.ac.za/
- 11.Hus Y, Segal O. Challenges surrounding the diagnosis of autism in children. Neuropsychiatr Dis Treat. 2021;17:3509–29. 10.2147/NDT.S282569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ludwig NN, Holingue C, Hong JS, Kalb LG, Pfeiffer D, Reetzke R, et al. Diagnostic certainty during in-person and telehealth autism evaluations. JCPP Adv. 2023. 10.1002/jcv2.12201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Masi A, Azim SI, Lam-Cassettari C, Dadds M, Diaz AM, Henry G, et al. Co-design of a neurodevelopment assessment scale: a study protocol. Int J Environ Res Public Health. 2021. 10.3390/ijerph182312837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Gillberg C. The ESSENCE in child psychiatry: early symptomatic syndromes eliciting neurodevelopmental clinical examinations. Res Dev Disabil. 2010;31(6):1543–51. 10.1016/j.ridd.2010.06.002. [DOI] [PubMed] [Google Scholar]
- 15.Hatakenaka Y, Fernell E, Sakaguchi M, Ninomiya H, Fukunaga I, Gillberg C, ESSENCE-Q -. A first clinical validation study of a new screening questionnaire for young children with suspected neurodevelopmental problems in South Japan. Neuropsychiatr Dis Treat. 2016;12:1739–46. 10.2147/NDT.S108411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Landgren V, Svensson L, Knez R, Theodosiou M, Gillberg C, Fernell E, et al. The ESSENCE-questionnaire for neurodevelopmental problems – a Swedish school-based validation study in 11-year-old children. Neuropsychiatr Dis Treat. 2022;18:2055–67. 10.2147/NDT.S374930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Grantham-Mcgregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B. Child development in developing countries 1 developmental potential in the first 5 years for children in developing countries. Lancet. 2007;369(9555):60–70. 10.1016/S0140-6736(07)60032-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Katumba KR, Tann CJ, Webb EL, Tenywa P, Nampijja M, Seeley J, et al. The economic burden incurred by families caring for a young child with developmental disability in Uganda. PLOS Glob Public Health. 2023;3(4): e0000953. 10.1371/journal.pgph.0000953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Shattuck PT, Parish SL. Financial burden in families of children with special health care needs: variability among states. Pediatrics. 2008;122(1):13–8. 10.1542/peds.2006-3308. [DOI] [PubMed] [Google Scholar]
- 20.Turan Gurhopur FD. Family burden among parents of children with intellectual disability. J Psychiatr Nurs. 2017. 10.14744/phd.2017.87609. [Google Scholar]
- 21.Richter LM, Daelmans B, Lombardi J, Heymann J, Boo FL, Behrman JR, et al. Investing in the foundation of sustainable development: pathways to scale up for early childhood development. Lancet. 2017;389(10064):103–18. 10.1016/S0140-6736(16)31698-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Stein DJ, Koen N, Donald KA, Adnams CM, Koopowitz S, Lund C, et al. Investigating the psychosocial determinants of child health in Africa: the Drakenstein child health study. J Neurosci Methods. 2015;252:27–35. 10.1016/j.jneumeth.2015.03.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Atilola O. Child mental-health policy development in sub-Saharan Africa: broadening the perspectives using Bronfenbrenner’s ecological model. Health Promot Int. 2017;32(2):380–91. 10.1093/heapro/dau065. [DOI] [PubMed] [Google Scholar]
- 24.Heady N, Watkins A, John A, Hutchings H. Prevalence of neurodevelopmental disorders and their impact on the health and social well-being among looked after children (LAC): a systematic review protocol. Syst Rev. 2022. 10.1186/s13643-022-01923-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yang Y, Zhao S, Zhang M, Xiang M, Zhao J, Chen S, et al. Prevalence of neurodevelopmental disorders among US children and adolescents in 2019 and 2020. Front Psychol. 2022. 10.3389/fpsyg.2022.997648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Arora NK, Nair MKC, Gulati S, Deshmukh V, Mohapatra A, Mishra D, et al. Neurodevelopmental disorders in children aged 2–9 years: Population-based burden estimates across five regions in India. PLoS Med. 2019;15(7). 10.1371/journal.pmed.1002615. [DOI] [PMC free article] [PubMed]
- 27.Segre G, Cargnelutti C, Bersani C, Njogu W, Roberti E, Campi R, et al. Early detection of neurodevelopmental disorders in African children living in informal settlements in Nairobi. BMJ Paediatr Open. 2023. 10.1136/bmjpo-2023-002117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Abubakar A, Ssewanyana D, Newton CR. A systematic review of research on autism spectrum disorders in sub-Saharan Africa. Behav Neurol. 2016. 10.1155/2016/3501910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Marlow M, Servili C, Tomlinson M. A review of screening tools for the identification of autism spectrum disorders and developmental delay in infants and young children: recommendations for use in low- and middle-income countries. Autism Res. 2019;12(2):176–99. 10.1002/aur.2033. [DOI] [PubMed] [Google Scholar]
- 30.Honda T, Tran T, Popplestone S, Draper CE, Yousafzai AK, Romero L, et al. Parents’ mental health and the social-emotional development of their children aged between 24 and 59 months in low-and middle-income countries: a systematic review and meta-analyses. SSM. 2023. 10.1016/j.ssmmh.2023.100197. [Google Scholar]
- 31.Slogrove A. It is a question of equity: time to talk about children who are HIV-exposed and HIV-free. J Int AIDS Soc. 2021. 10.1002/jia2.25850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Madzimbe P, Potterton J. Prevalence of developmental delay and associated risk factors among at risk surveillance system (ARSS) children at united Bulawayo hospitals, Zimbabwe. Ann Clin Biomed Res. 2023;4(2). 10.4081/acbr.2023.319.
- 33.Tann CJ, Kohli-Lynch M, Nalugya R, Sadoo S, Martin K, Lassman R, et al. Surviving and thriving: early intervention for neonatal survivors with developmental disability in Uganda. Infant Young Child. 2021;34(1):17–32. 10.1097/IYC.0000000000000182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bakare MO, Munir KM, Bello-Mojeed MA. Public health and research funding for childhood neurodevelopmental disorders in Sub-Saharan africa: a time to balance priorities. Healthc Low Resour Settings. 2014;2(1). 10.4081/hls.2014.1559. [DOI] [PMC free article] [PubMed]
- 35.Gajwani R, Minnis H. Double jeopardy: implications of neurodevelopmental conditions and adverse childhood experiences for child health. Eur Child Adolesc Psychiatry. 2023;32(1):1–4. 10.1007/s00787-022-02081-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zarei K, Xu G, Zimmerman B, Giannotti M, Strathearn L. Adverse childhood experiences predict common neurodevelopmental and behavioral health conditions among U.S. children. Children (Basel). 2021. 10.3390/children8090761. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Centers for Disease Control and Prevention. Developmental Monitoring and Screening [Internet]. United States: US Centers for Disease Control and Prevention; 2022 [cited 2023 Feb 19]. Available from: https://www.cdc.gov/ncbddd/actearly/screening.html
- 38.Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73. 10.7326/M18-0850. [DOI] [PubMed] [Google Scholar]
- 39.Fernell E, Gillberg C. Autism under the umbrella of ESSENCE. Front Psychiatry. 2023. 10.3389/fpsyt.2023.1002228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Mendeley, York N. Elsevier; 2013. Available at https://www.mendeley.com
- 41.Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan — a web and mobile app for systematic reviews. Syst Rev. 2016;5: 210. 10.1186/s13643-016-0384-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Wells G, Shea BJ, O’Connell J. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses [Internet]. Ottawa: Ottawa Health Research Institute Website; 2014 (last modified 2021; cited 2024 Apr 10]. Available from: https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp
- 43.Herzog R, Álvarez-Pasquin MJ, Díaz C, Del Barrio JL, Estrada JM, Gil Á. Are healthcare workers’ intentions to vaccinate related to their knowledge, beliefs and attitudes? A systematic review. BMC Public Health. 2013;13: 154. 10.1186/1471-2458-13-154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.World Health Organisation. Health Topics: Adolescent Health [Internet]. [place unknown]: WHO. 2024 [cited 2024 May 10]. Available from: https://www.who.int/health-topics/adolescent-health/#tab=tab_1
- 45.Bitta MA, Kipkemoi P, Kariuki SM, Abubakar A, Gona J, Philips-Owen J, et al. Validity and reliability of the neurodevelopmental screening tool (NDST) in screening for neurodevelopmental disorders in children living in rural Kenyan Coast. Wellcome Open Res. 2021. 10.12688/wellcomeopenres.16765.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Kakooza-Mwesige A, Ssebyala K, Karamagi C, Kiguli S, Smith K, Anderson MC, et al. Adaptation of the ten questions to screen for autism and other neurodevelopmental disorders in Uganda. Autism. 2014;18(4):447–57. 10.1177/1362361313475848. [DOI] [PubMed] [Google Scholar]
- 47.Kind CJ, Newton CRJC, Kariuki SM, Abubakar A, Ibinda F, Gona J et al. Prevalence, risk factors, and neurobehavioral comorbidities of epilepsy in Kenyan children. Epilepsia Open 2017a 2(4), 388–99. 10.1002/epi4.12069 [DOI] [PMC free article] [PubMed]
- 48.Durkin MS, Wang W, Shrout PE, Zaman SS, Hasan ZM, Desap P. Evaluating a ten questions screen for childhood disability: reliability and internal structure in different cultures. J Clin Epidemiol. 1995;48(5):657–66. 10.1016/0895-4356(94)00163-k. [DOI] [PubMed] [Google Scholar]
- 49.Kariuki SM, Newton CRJC, Abubakar A, Bitta MA, Odhiambo R, Phillips Owen J. Evaluation of psychometric properties and factorial structure of ADHD module of K-SADS-PL in children from rural Kenya. J Atten Disord. 2020;24(14):2064–71. 10.1177/1087054717753064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kariuki SM, Abubakar A, Kombe M, Kazungu M, Odhiambo R, Stein A, et al. Prevalence, risk factors and behavioural and emotional comorbidity of acute seizures in young Kenyan children: a population-based study. BMC Med. 2018. 10.1186/s12916-018-1021-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Arinda A, Nakasujja N, Odokonyero R. Prevalence of autism spectrum disorder symptoms in a paediatric neurology clinic at a tertiary hospital in Uganda. S Afr J Psychiatr. 2021;27:1–8. 10.4102/sajpsychiatry.v27i0.1548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Mazibuko X, Chimbari M. Development and evaluation of the Ingwavuma receptive vocabulary test: a tool for assessing receptive vocabulary in Isizulu-speaking preschool children. S Afr J Commun Disord. 2020;67(1):1–10. 10.4102/sajcd.v67i1.780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Venter A, Pienaar AE, Coetzee D. Suitability of the ‘little DCDQ’ for the identification of DCD in a selected group of 3–5 year-old South African children. Early Child Dev Care. 2015;185(8):1359–71. 10.1080/03004430.2014.1000887. [Google Scholar]
- 54.Du Toit MN, van der Linde J, Swanepoel DW. Developmental risks in vulnerable children from a low-income South African community. Matern Child Health J. 2021;25(4):590–8. 10.1007/s10995-020-03111-1. [DOI] [PubMed] [Google Scholar]
- 55.Glascoe FP. Collaborating with parents: using parents’ evaluation of developmental status (PEDS) to detect and address developmental and behavioral problems. J Dev Behav Pediatr. 2013;20(3):187–88. 10.1097/00004703-199906000-00009. [Google Scholar]
- 56.Devendra A, Makawa A, Kazembe PN, Calles NR, Kuper H. HIV and childhood disability: a case-controlled study at a paediatric antiretroviral therapy centre in Lilongwe, Malawi. PLoS One. 2013. 10.1371/journal.pone.0084024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Knox J, Arpadi SM, Kauchali S, Craib M, Kvalsvig JD, Taylor M, et al. Screening for developmental disabilities in HIV positive and HIV negative children in South Africa: results from the Asenze study. PLoS One. 2018. 10.1371/journal.pone.0199860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Shuffrey LC, Sania A, Brito NH, Potter M, Springer P, Lucchini M, et al. Association of maternal depression and anxiety with toddler social-emotional and cognitive development in South Africa: a prospective cohort study. BMJ Open. 2022. 10.1136/bmjopen-2021-058135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Brittain K, Zerbe A, Phillips TK, Gomba Y, Mellins CA, Myer L, et al. Impact of adverse childhood experiences on women’s psychosocial and HIV-related outcomes and early child development in their offspring. Glob Public Health. 2022;17(11):2779–91. 10.1080/17441692.2021.1986735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Rah SS, Jung M, Lee K, Kang H, Jang S, Park J, et al. Systematic review and meta-analysis: Real-world accuracy of children’s developmental screening tests. J Am Acad Child Adolesc Psychiatry. 2023;62(10):1095–109. 10.1016/j.jaac.2022.12.014. [DOI] [PubMed] [Google Scholar]
- 61.Van der Pol N, Ntinga X, Mkhize M, van Heerden A. A scoping review of mHealth use in South Africa. Dev South Afr. 2021;39(4):485–97. 10.1080/0376835X.2021.1904837. [Google Scholar]
- 62.Atmore E, van Niekerk LJ, Ashley-Cooper M. Challenges facing the early childhood development sector in South Africa. S Afr J Child Educ. 2012;2(1):120–39. [Google Scholar]
- 63.Schoeman R, Enright J, James A, Vermeulen C, De Beer N. Removing mental health barriers to education: A community project. S Afr J Psychiatr. 2018;24. 10.4102/sajpsychiatry.v24i0.1293.
- 64.Tekola B, Kinfe M, Girma Bayouh F, Hanlon C, Hoekstra RA. The experiences of parents raising children with developmental disabilities in Ethiopia. Autism. 2023;27(2):539–51. 10.1177/13623613221105085. [DOI] [PubMed] [Google Scholar]
- 65.Botes M, Swanepoel DW, Graham M, van der Linde J. Cultural and linguistic applicability of the english PEDS tools in a low-income community: A caregiver perspective. S Afr J Child Health. 2023;17(3):107–12. 10.7196/SAJCH.2023.v17i3.2022. [Google Scholar]
- 66.Chambers NJ, Wetherby AM, Stronach ST, Njongwe N, Kauchali S, Grinker RR. Early detection of autism spectrum disorder in young isiZulu-speaking children in South Africa. Autism. 2027;21(5):518–26. 10.1177/1362361316651196. [DOI] [PubMed] [Google Scholar]
- 67.Vorster C, Kritzinger A, Coetser LE, van der Linde J. Preliminary reliability of South African adaptation and Northern Sotho translation of the modified checklist for autism in toddlers, revised with follow-up. S Afr J Commun Disord. 2021;68(1). 10.4102/sajcd.v68i1.831. [DOI] [PMC free article] [PubMed]
- 68.Vorster C, Kritzinger A, Coetser L, Van der Linde J. Reliability and concurrent validity of a cultural adaptation and Northern Sotho translation of the M-chat-R/F. Commun Disord Q. 2023;45(3):192–201. 10.1177/15257401231167084. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
No datasets were generated or analysed during the current study.

