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Williams EH, Thompson NM, McCray G, Crespo-Llado MM, Bhavnani S, Gajria D, Mukherjee D, Del Bianco T, Lockwood-Estrin G, Mason L, Ngoma V, Namathanga C, Nkhata R, Bennie A, Ranjan A, Kawelama U, Midha N, Singh A, Mpakiza I, Gautam A, Gulati S, Johnson MH, Lancaster G, Belmonte MK, Jones E, Patel V, Chandran S, Mbale E, Divan G, Gladstone M, Chakrabarti B. Scalable Transdiagnostic Early Assessment of Mental Health (STREAM): a study protocol. BMJ Open 2024; 14:e088263. [PMID: 38871663 DOI: 10.1136/bmjopen-2024-088263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/15/2024] Open
Abstract
INTRODUCTION Early childhood development forms the foundations for functioning later in life. Thus, accurate monitoring of developmental trajectories is critical. However, such monitoring often relies on time-intensive assessments which necessitate administration by skilled professionals. This difficulty is exacerbated in low-resource settings where such professionals are predominantly concentrated in urban and often private clinics, making them inaccessible to many. This geographic and economic inaccessibility contributes to a significant 'detection gap' where many children who might benefit from support remain undetected. The Scalable Transdiagnostic Early Assessment of Mental Health (STREAM) project aims to bridge this gap by developing an open-source, scalable, tablet-based platform administered by non-specialist workers to assess motor, social and cognitive developmental status. The goal is to deploy STREAM through public health initiatives, maximising opportunities for effective early interventions. METHODS AND ANALYSIS The STREAM project will enrol and assess 4000 children aged 0-6 years from Malawi (n=2000) and India (n=2000). It integrates three established developmental assessment tools measuring motor, social and cognitive functioning using gamified tasks, observation checklists, parent-report and audio-video recordings. Domain scores for motor, social and cognitive functioning will be developed and assessed for their validity and reliability. These domain scores will then be used to construct age-adjusted developmental reference curves. ETHICS AND DISSEMINATION Ethical approval has been obtained from local review boards at each site (India: Sangath Institutional Review Board; All India Institute of Medical Science (AIIMS) Ethics Committee; Indian Council of Medical Research-Health Ministry Screening Committee; Malawi: College of Medicine Research and Ethics Committee; Malawi Ministry of Health-Blantyre District Health Office). The study adheres to Good Clinical Practice standards and the ethical guidelines of the 6th (2008) Declaration of Helsinki. Findings from STREAM will be disseminated to participating families, healthcare professionals, policymakers, educators and researchers, at local, national and international levels through meetings, academic journals and conferences.
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Affiliation(s)
- Elin H Williams
- Centre for Autism, School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Nicholas M Thompson
- Centre for Autism, School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
- Faculty of Health, Education and Society, University of Northampton, Northampton, UK
| | | | - Maria M Crespo-Llado
- Department of Women and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | | | | | - Debarati Mukherjee
- Indian Institute of Public Health, Bengaluru, Public Health Foundation of India, Kamataka, India
| | - Teresa Del Bianco
- Centre for Brain & Cognitive Development, Birkbeck University of London, London, UK
- School of Social Sciences and Professions, London Metropolitan University, London, UK
| | | | - Luke Mason
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Vukiwe Ngoma
- Kamuzu University of Health Sciences, Blantyre, Malawi
| | | | | | - Allan Bennie
- Kamuzu University of Health Sciences, Blantyre, Malawi
| | | | | | | | | | | | - Akshat Gautam
- Indian Institute of Technology Bombay, Mumbai, Maharashtra, India
| | - Sheffali Gulati
- Center of Excellence & Advanced Research for Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Mark H Johnson
- Department of Psychology, University of Cambridge, Cambridge, UK
| | | | - Matthew K Belmonte
- The Com DEALL Trust, Bengaluru, Karnataka, India
- Department of Psychology, Nottingham Trent University, Nottingham, UK
| | - Emily Jones
- Centre for Brain & Cognitive Development, Birkbeck University of London, London, UK
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Sharat Chandran
- Indian Institute of Technology Bombay, Mumbai, Maharashtra, India
| | - Emmie Mbale
- Department of Paediatrics, Kamuzu University of Health Sciences, Blantyre, Malawi
| | | | - Melissa Gladstone
- Department of Women and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Bhismadev Chakrabarti
- Centre for Autism, School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
- Department of Psychology, Ashoka University, Sonipat, India
- India Autism Center, Kolkata, India
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Kipkemoi P, Kariuki SM, Gona J, Mwangi FW, Kombe M, Kipkoech C, Murimi P, Mandy W, Warrington R, Skuse D, Newton CR, Abubakar A. Utility of the 3Di short version in the identification and diagnosis of autism in children at the Kenyan coast. Front Psychiatry 2024; 15:1234929. [PMID: 38487576 PMCID: PMC10937349 DOI: 10.3389/fpsyt.2024.1234929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 01/16/2024] [Indexed: 03/17/2024] Open
Abstract
Introduction The precise epidemiological burden of autism is unknown because of the limited capacity to identify and diagnose the disorder in resource-constrained settings, related in part to a lack of appropriate standardised assessment tools and health care experts. We assessed the reliability, validity, and diagnostic accuracy of the Developmental Diagnostic Dimensional Interview (3Di) in a rural setting on the Kenyan coast. Methods Using a large community survey of neurodevelopmental disorders (NDDs), we administered the 3Di to 2,110 children aged between 6 years and 9 years who screened positive or negative for any NDD and selected 242 who had specific symptoms suggestive of autism based on parental report and the screening tools for review by a child and adolescent psychiatrist. On the basis of recorded video, a multi-disciplinary team applied the Autism Diagnostic Observation Schedule to establish an autism diagnosis. Internal consistency was used to examine the reliability of the Swahili version of the 3Di, tetrachoric correlations to determine criterion validity, structural equation modelling to evaluate factorial structure and receiver operating characteristic analysis to calculate diagnostic accuracy against Diagnostic Statistical Manual of Mental Disorders (DSM) diagnosis. Results The reliability coefficients for 3Di were excellent for the entire scale {McDonald's omega (ω) = 0.83 [95% confidence interval (CI) 0.79-0.91]}. A higher-order three-factor DSM-IV-TR model showed an adequate fit with the model, improving greatly after retaining high-loading items and correlated items. A higher-order two-factor DSM-5 model also showed an adequate fit. There were weak to satisfactory criterion validity scores [tetrachoric rho = 0.38 (p = 0.049) and 0.59 (p = 0.014)] and good diagnostic accuracy metrics [area under the curve = 0.75 (95% CI: 0.54-0.96) and 0.61 (95% CI: 0.49-0.73] for 3Di against the DSM criteria. The 3Di had a moderate sensitivity [66.7% (95% CI: 0.22-0.96)] and a good specificity [82.5% (95% CI: 0.74-0.89)], when compared with the DSM-5. However, we observed poor sensitivity [38.9% (95% CI: 0.17-0.64)] and good specificity [83.5% (95% CI: 0.74-0.91)] against DSM-IV-TR. Conclusion The Swahili version of the 3Di provides information on autism traits, which may be helpful for descriptive research of endophenotypes, for instance. However, for accuracy in newly diagnosed autism, it should be complemented by other tools, e.g., observational clinical judgment using the DSM criteria or assessments such as the Autism Diagnostic Observation Schedule. The construct validity of the Swahili 3Di for some domains, e.g., communication, should be explored in future studies.
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Affiliation(s)
- Patricia Kipkemoi
- Neuroscience Unit, Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- Complex Trait Genetics Department, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Symon M. Kariuki
- Neuroscience Unit, Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, United Kingdom
- Department of Public Health, Pwani University, Kilifi, Kenya
| | - Joseph Gona
- Neuroscience Unit, Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Martha Kombe
- Neuroscience Unit, Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Collins Kipkoech
- Neuroscience Unit, Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Paul Murimi
- Institute for Human Development, Aga Khan University, Nairobi, Kenya
| | - William Mandy
- Division of Psychology and Language Sciences, University College London (UCL) Research Department of Clinical, Educational and Health Psychology, London, United Kingdom
| | - Richard Warrington
- Institute of Child Health, University College London (UCL), London, United Kingdom
| | - David Skuse
- Institute of Child Health, University College London (UCL), London, United Kingdom
| | - Charles R.J.C. Newton
- Neuroscience Unit, Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, United Kingdom
- Department of Public Health, Pwani University, Kilifi, Kenya
- Institute for Human Development, Aga Khan University, Nairobi, Kenya
| | - Amina Abubakar
- Neuroscience Unit, Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, United Kingdom
- Institute for Human Development, Aga Khan University, Nairobi, Kenya
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Joshi S, Parmar S, Kalavant A, Shah L, Parmar D. Effectiveness of structured physiotherapy in constipation in children with neurodevelopmental disorders-a randomized trial. Physiother Theory Pract 2024; 40:2-10. [PMID: 35848580 DOI: 10.1080/09593985.2022.2100299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 07/05/2022] [Indexed: 10/17/2022]
Abstract
INTRODUCTION Constipation is one of the major issues faced by children with neuro-developmental disorder (NDD). The aims of the study were to: 1) examine the effectiveness of a structured physiotherapy program on constipation in children with NDD; and 2) compare if conventional physiotherapy along with structured physiotherapy intervention has any combined effect on constipation in children with NDD. METHOD Thirty-five children with neurodevelopmental disorder were assessed and randomly allotted into two groups. Twenty-two completed the intervention for 2 weeks and were statistically analyzed at baseline and post 4 weeks at a single tertiary center. The outcome measures used were Pediatric quality of life inventory (PedsQL), Peds QL Gastrointestinal symptoms scale, Bristol stool form scale, and defecation frequency. Group A received the conventional treatment, whereas group B received structured physiotherapy along with the conventional treatment. RESULTS Group A had no significant outcomes, whereas in group B there were statistically significant differences for all outcome measures. Comparatively, a statistically significant change was noted for PedsQL GI symptoms scale (p = .045) and its constipation sub-scale (p = .002) in group B along with change in the Bristol stool form. CONCLUSION Combined effect of structured along with conventional physiotherapy was better in terms of form of stool, constipation, and its associated quality of life factors as compared to conventional physiotherapy alone.
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Affiliation(s)
- Sayali Joshi
- SDM College of Physiotherapy, SDM University, Dharwad, India
| | - Sanjay Parmar
- SDM College of Physiotherapy, SDM University, Dharwad, India
| | - Akshay Kalavant
- Department of Pediatric Surgery, SDM College of Medical Sciences and Hospital, Dharwad, India
| | - Lakshita Shah
- SDM College of Physiotherapy, SDM University, Dharwad, India
| | - Disha Parmar
- SDM College of Physiotherapy, SDM University, Dharwad, India
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Sharawat IK, Ramachandran A, Panda PK, Elwadhi A, Tomar A. Development and Validation of an Outpatient Clinical Predictive Score for the Diagnosis of Duchenne Muscular Dystrophy/Becker Muscular Dystrophy in Children Aged 2-18 Years. Ann Indian Acad Neurol 2023; 26:453-460. [PMID: 37970286 PMCID: PMC10645257 DOI: 10.4103/aian.aian_20_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 04/14/2023] [Accepted: 05/11/2023] [Indexed: 11/17/2023] Open
Abstract
Introduction There is no bedside clinical examination-based prediction score for Duchenne muscular dystrophy/Becker muscular dystrophy (DMD/BMD) in children with neuromuscular diseases (NMDs) presenting with proximal limb-girdle weakness. Methods We compared the details of 200 cases of lower motor neuron type of weakness and had some proximal limb-girdle muscle weakness and divided them into 2 groups: with/without a confirmed diagnosis of DMD/BMD. We determined the predictive factors associated with a diagnosis of DMD/BMD using multivariate binary logistic regression. We assessed our proposed prognostic model using both discrimination and calibration and subsequently used the bootstrap method to successfully validate the model internally. Results A total of 121 patients had DMD/BMD and the rest of the patients had other diagnoses. Male gender, presence of Gower's sign, valley sign, toe walking, calf pseudohypertrophy, and tongue hypertrophy were independent predictors for a confirmed diagnosis of DMD/BMD and included in the final CVT2MG score (Calf pseudohypertrophy, Valley sign, Toe walking, Tongue hypertrophy, Male gender, and Gower's sign). The final model showed good discrimination (AUC = 87.4% [95% CI: 80.5-92.3%, P < 0.001]) and calibration (P = 0.57). A score of 6 or above appeared to be the best cutoff for discriminating between the DMD/BMD group and the rest of the group with both sensitivity and specificity of 98%. The interrater reliability was almost perfect between two pediatric neurologists and strong between a pediatric neurologist and a pediatric neurology trainee resident (k = 0.91 and 0.87). Conclusion The CVT2MG score has good sensitivity and specificity in predicting a confirmed diagnosis of DMD/BMD in subsequent tests.
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Affiliation(s)
- Indar Kumar Sharawat
- Department of Pediatrics, Pediatric Neurology Division, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Aparna Ramachandran
- Department of Neurology, IQRAA International Hospital and Research Centre, Kozhikode, Kerala, India
| | - Prateek Kumar Panda
- Department of Pediatrics, Pediatric Neurology Division, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Aman Elwadhi
- Department of Pediatrics, Pediatric Neurology Division, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Apurva Tomar
- Department of Pediatrics, Pediatric Neurology Division, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
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Mengi M, Malhotra D. A systematic literature review on traditional to artificial intelligence based socio-behavioral disorders diagnosis in India: Challenges and future perspectives. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Garfinkle J, Li P, Boychuck Z, Bussières A, Majnemer A. Early Clinical Features of Cerebral Palsy in Children Without Perinatal Risk Factors: A Scoping Review. Pediatr Neurol 2020; 102:56-61. [PMID: 31416726 DOI: 10.1016/j.pediatrneurol.2019.07.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 07/11/2019] [Accepted: 07/13/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND The early identification of cerebral palsy (CP) in the primary care context is often problematic and referral for diagnosis often delayed. This study aimed to identify clinical features associated with the early detection of CP that can be used by the primary care provider. METHODS We performed a scoping review by searching six electronic databases. We included English language articles that addressed the diagnosis of CP and/or its differential diagnosis in children and ways of detecting CP before the diagnosis is established (i.e., early clinical signs of CP) via (1) questions on the patient's clinical history, (2) developmental screening and/or health questionnaires, or (3) physical or neurological examination. RESULTS Included studies (n = 41; 27 overview studies and 14 original studies) were grouped into the three themes. Most of the overview articles relied on expert opinion, and all original studies included patients at high risk of developing CP. The most commonly identified features from each theme were early hand preference on clinical history, delayed or absent achievement of motor developmental milestones on developmental screening, and persistent primitive reflexes on neurological examination. CONCLUSIONS Overall, the literature on the early observable clinical signs that should prompt referral for investigation of possible CP in the specific context of well-baby care surveillance was sparse and inconsistent. Further research should focus on evaluating the contribution of readily identifiable clinical features.
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Affiliation(s)
- Jarred Garfinkle
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada; Department of Pediatrics, McGill University, Montreal, Quebec, Canada
| | - Patricia Li
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
| | - Zachary Boychuck
- School of Physical & Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - André Bussières
- School of Physical & Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Annette Majnemer
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada; School of Physical & Occupational Therapy, McGill University, Montreal, Quebec, Canada.
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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; 12:176-199. [DOI: 10.1002/aur.2033] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 06/08/2018] [Accepted: 06/27/2018] [Indexed: 11/06/2022]
Affiliation(s)
- Marguerite Marlow
- Department of Psychology; Stellenbosch University; Stellenbosch South Africa
| | - Chiara Servili
- Department of Mental Health and Substance Abuse; World Health Organization; Geneva Switzerland
| | - Mark Tomlinson
- Department of Psychology; Stellenbosch University; Stellenbosch South Africa
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Arora NK, Nair MKC, Gulati S, Deshmukh V, Mohapatra A, Mishra D, Patel V, Pandey RM, Das BC, Divan G, Murthy GVS, Sharma TD, Sapra S, Aneja S, Juneja M, Reddy SK, Suman P, Mukherjee SB, Dasgupta R, Tudu P, Das MK, Bhutani VK, Durkin MS, Pinto-Martin J, Silberberg DH, Sagar R, Ahmed F, Babu N, Bavdekar S, Chandra V, Chaudhuri Z, Dada T, Dass R, Gourie-Devi M, Remadevi S, Gupta JC, Handa KK, Kalra V, Karande S, Konanki R, Kulkarni M, Kumar R, Maria A, Masoodi MA, Mehta M, Mohanty SK, Nair H, Natarajan P, Niswade AK, Prasad A, Rai SK, Russell PSS, Saxena R, Sharma S, Singh AK, Singh GB, Sumaraj L, Suresh S, Thakar A, Parthasarathy S, Vyas B, Panigrahi A, Saroch MK, Shukla R, Rao KVR, Silveira MP, Singh S, Vajaratkar V. Neurodevelopmental disorders in children aged 2-9 years: Population-based burden estimates across five regions in India. PLoS Med 2018; 15:e1002615. [PMID: 30040859 PMCID: PMC6057634 DOI: 10.1371/journal.pmed.1002615] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 06/15/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Neurodevelopmental disorders (NDDs) compromise the development and attainment of full social and economic potential at individual, family, community, and country levels. Paucity of data on NDDs slows down policy and programmatic action in most developing countries despite perceived high burden. METHODS AND FINDINGS We assessed 3,964 children (with almost equal number of boys and girls distributed in 2-<6 and 6-9 year age categories) identified from five geographically diverse populations in India using cluster sampling technique (probability proportionate to population size). These were from the North-Central, i.e., Palwal (N = 998; all rural, 16.4% non-Hindu, 25.3% from scheduled caste/tribe [SC-ST] [these are considered underserved communities who are eligible for affirmative action]); North, i.e., Kangra (N = 997; 91.6% rural, 3.7% non-Hindu, 25.3% SC-ST); East, i.e., Dhenkanal (N = 981; 89.8% rural, 1.2% non-Hindu, 38.0% SC-ST); South, i.e., Hyderabad (N = 495; all urban, 25.7% non-Hindu, 27.3% SC-ST) and West, i.e., North Goa (N = 493; 68.0% rural, 11.4% non-Hindu, 18.5% SC-ST). All children were assessed for vision impairment (VI), epilepsy (Epi), neuromotor impairments including cerebral palsy (NMI-CP), hearing impairment (HI), speech and language disorders, autism spectrum disorders (ASDs), and intellectual disability (ID). Furthermore, 6-9-year-old children were also assessed for attention deficit hyperactivity disorder (ADHD) and learning disorders (LDs). We standardized sample characteristics as per Census of India 2011 to arrive at district level and all-sites-pooled estimates. Site-specific prevalence of any of seven NDDs in 2-<6 year olds ranged from 2.9% (95% CI 1.6-5.5) to 18.7% (95% CI 14.7-23.6), and for any of nine NDDs in the 6-9-year-old children, from 6.5% (95% CI 4.6-9.1) to 18.5% (95% CI 15.3-22.3). Two or more NDDs were present in 0.4% (95% CI 0.1-1.7) to 4.3% (95% CI 2.2-8.2) in the younger age category and 0.7% (95% CI 0.2-2.0) to 5.3% (95% CI 3.3-8.2) in the older age category. All-site-pooled estimates for NDDs were 9.2% (95% CI 7.5-11.2) and 13.6% (95% CI 11.3-16.2) in children of 2-<6 and 6-9 year age categories, respectively, without significant difference according to gender, rural/urban residence, or religion; almost one-fifth of these children had more than one NDD. The pooled estimates for prevalence increased by up to three percentage points when these were adjusted for national rates of stunting or low birth weight (LBW). HI, ID, speech and language disorders, Epi, and LDs were the common NDDs across sites. Upon risk modelling, noninstitutional delivery, history of perinatal asphyxia, neonatal illness, postnatal neurological/brain infections, stunting, LBW/prematurity, and older age category (6-9 year) were significantly associated with NDDs. The study sample was underrepresentative of stunting and LBW and had a 15.6% refusal. These factors could be contributing to underestimation of the true NDD burden in our population. CONCLUSIONS The study identifies NDDs in children aged 2-9 years as a significant public health burden for India. HI was higher than and ASD prevalence comparable to the published global literature. Most risk factors of NDDs were modifiable and amenable to public health interventions.
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Affiliation(s)
| | - M. K. C. Nair
- Kerala University of Health Sciences, Medical College PO, Thrissur, Kerala, India
| | - Sheffali Gulati
- Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India
| | | | | | - Devendra Mishra
- Department of Paediatrics, Maulana Azad Medical College, New Delhi, India
| | - Vikram Patel
- Sangath, Bardez, Goa, India
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Ravindra M. Pandey
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Bhagabati C. Das
- Department of Community Medicine, Kalinga Institute of Medical Sciences, Bhubaneshwar, Odisha, India
| | | | - G. V. S. Murthy
- Indian Institute of Public Health, Hyderabad, Telangana, India
| | - Thakur D. Sharma
- Himachal Foundation, Dharamshala, Kangra, Himachal Pradesh, India
| | - Savita Sapra
- Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Satinder Aneja
- Department of Paediatrics, Lady Hardinge Medical College, New Delhi, India
| | - Monica Juneja
- Department of Paediatrics, Maulana Azad Medical College, New Delhi, India
| | - Sunanda K. Reddy
- Centre for Applied Research and Education on Neurodevelopmental Impairments and Disability related Health Initiatives (CARENIDHI), New Delhi, India
| | - Praveen Suman
- Department of Paediatrics, Sir Ganga Ram Hospital, New Delhi, India
| | | | - Rajib Dasgupta
- Department of Social Medicine and Community Health, Jawaharlal Nehru University, New Delhi, India
| | - Poma Tudu
- The INCLEN Trust International, New Delhi, India
| | | | - Vinod K. Bhutani
- Department of Paediatrics, Stanford University School of Medicine and Lucile Packard Children’s Hospital, California, United States of America
| | - Maureen S. Durkin
- Department of Population Health Sciences and Paediatrics, and Waisman Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Jennifer Pinto-Martin
- University of Pennsylvania School of Nursing and School of Medicine, Philadelphia, United States of America
| | - Donald H. Silberberg
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States of America
| | - Rajesh Sagar
- Department of Psychiatry, All India Institute of Medical Science, New Delhi, India
| | - Faruqueuddin Ahmed
- Integral Institute of Medical Sciences & Research, Integral University, Lucknow, Uttar Pradesh, India
| | - Nandita Babu
- Department of Psychology, Delhi University, New Delhi, India
| | - Sandeep Bavdekar
- Department of Paediatrics, Seth GS Medical College & KEM Hospital, Mumbai, Maharashtra, India
| | - Vijay Chandra
- Department of Neurology, Paras Hospital, Gurugram, Haryana, India
| | - Zia Chaudhuri
- Department of Ophthalmology, Lady Hardinge Medical College, New Delhi, India
| | - Tanuj Dada
- Dr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India
| | - Rashna Dass
- Department of Paediatric Disciplines, Health City Hospital, Guwahati, Assam, India
| | - M. Gourie-Devi
- Department of Neurology, Institute of Human Behaviour and Allied Sciences & Department of Neurophysiology, Sir Ganga Ram Hospital, New Delhi, India
| | - S. Remadevi
- School of Health Policy and Planning, Kerala University of Health Sciences, Thiruvananthapuram, Kerala, India
| | - Jagdish C. Gupta
- Ali Yavar Jung National Institute of Speech and Hearing Disabilities, Department of Empowerment of Persons with Disabilities, Kasturba Niketan, New Delhi, India
| | - Kumud K. Handa
- Department of ENT & Head Neck Surgery, Medanta Medicity, Gurugram, Haryana, India
| | - Veena Kalra
- Department of Paediatrics, Indraprastha Apollo Hospital, New Delhi, India
| | - Sunil Karande
- Department of Paediatrics, Seth GS Medical College & KEM Hospital, Mumbai, Maharashtra, India
| | - Ramesh Konanki
- Department of Paediatric Neurology, Rainbow Children’s Hospital, Hyderabad, Telengana, India
| | - Madhuri Kulkarni
- Department of Paediatrics, Mumbai Port Trust Hospital, Mumbai, Maharashtra, India
| | - Rashmi Kumar
- Department of Paediatrics, King George Medical University, Lucknow, Uttar Pradesh, India
| | - Arti Maria
- Department of Neonatology, Post Graduate Institute of Medical Education and Research and Dr. Ram Manohar Lohia Hospital, Delhi, India
| | - Muneer A. Masoodi
- Department of Community Medicine, Government Medical College, Srinagar, Kashmir, India
| | - Manju Mehta
- Department of Psychiatry, All India Institute of Medical Science, New Delhi, India
| | - Santosh Kumar Mohanty
- National Trust, Department of Empowerment of Persons with Disabilities, Ministry of Social Justice & Empowerment, Government of India, Delhi, India
| | - Harikumaran Nair
- Kerala University of Health Sciences, Medical College PO, Thrissur, Kerala, India
| | - Poonam Natarajan
- Vidya Sagar (formerly The Spastics Society of India), Chennai, Tamil Nadu, India
| | - A. K. Niswade
- Department of Paediatrics, Government Medical College, Nagpur, Maharashtra, India
| | - Atul Prasad
- Social Welfare Department, Government of Bihar, Patna, India
| | - Sanjay K. Rai
- Department of Community Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Paul S. S. Russell
- Department of Child & Adolescent Psychiatry and Facility for Children with Intellectual Disability, Christian Medical College, Vellore, Tamil Nadu, India
| | - Rohit Saxena
- Dr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India
| | - Shobha Sharma
- Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Arun K. Singh
- Rashtriya Bal Swasthya Karyakram, Ministry of Health and Family Welfare, Nirman Bhawan, New Delhi, India
| | - Gautam B. Singh
- Department of Otorhinolaryngology and Head and Neck Surgery (ENT), Lady Hardinge Medical College, New Delhi, India
| | - Leena Sumaraj
- Child Development Centre, Medical College Campus, Thiruvananthapuram, Kerala, India
| | | | - Alok Thakar
- Department of Otolaryngology & Head-Neck Surgery, All India Institute of Medical Sciences, New Delhi, India
| | - Sujatha Parthasarathy
- Department of Pediatric Neurology, The Hospital for Sick Children (SickKids), The Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
| | - Bhadresh Vyas
- Department of Paediatrics, M.P. Shah Government Medical College & G.G. Hospital, Jamnagar, Gujarat, India
| | - Ansuman Panigrahi
- Department of Community Medicine, Kalinga Institute of Medical Sciences, Bhubaneshwar, Odisha, India
| | - Munish K. Saroch
- Department of ENT, Dr. Rajender Prasad Government Medical College, Kangra, Himachal Pradesh, India
| | - Rajan Shukla
- Indian Institute of Public Health, Hyderabad, Telangana, India
| | - K. V. Raghava Rao
- RVM Institute of Medical Sciences and Research Center, Laxmakkapally, Telangana, India
| | - Maria P. Silveira
- Department of Paediatrics, Goa Medical College, Bambolim, Goa, India
| | - Samiksha Singh
- Indian Institute of Public Health, Hyderabad, Telangana, India
| | - Vivek Vajaratkar
- Sangath, Bardez, Goa, India
- Department of Orthopedic Surgery, Goa Medical College, Bambolim, Goa, India
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9
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Gulati S, Patel H, Chakrabarty B, Dubey R, Arora NK, Pandey RM, Paul VK, Ramesh K, Anand V, Meena A. Development of All India Institute of Medical Sciences-Modified International Clinical Epidemiology Network Diagnostic Instrument for Neuromotor Impairments in Children Aged 1 Month to 18 Years. Front Public Health 2017; 5:313. [PMID: 29209604 PMCID: PMC5702309 DOI: 10.3389/fpubh.2017.00313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 11/06/2017] [Indexed: 11/13/2022] Open
Abstract
Introduction There is shortage of specialists for the diagnosis of children with neuromotor impairments (NMIs), especially in resource limited settings. Existing International Clinical Epidemiology Network (INCLEN) instrument for diagnosing NMI have been validated for children aged 2–9 years. The current study modified the same including wider symptomatology and age group (1 month to 18 years). Methods The Modified INCLEN diagnostic tool (INDT) was developed by a team of experts by modifying the existing tool to widen the age range (1 month to 18 years) and include broader symptomatology (inclusion of milestones from the first 2 years of life and better elucidation of cerebellar and extrapyramidal features) in a tertiary care teaching hospital of North India between January and April 2015. A trained medical graduate applied the candidate tool, which was followed by gold standard evaluation by a Pediatric Neurologist (both blinded to each other). Results A total of 197 children (102 with NMI and 95 without NMI) were enrolled for the study. The sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratio of the modified NMI tool were 90.4% (82.6–95.5), 95.5% (88.7–98.7), 95.5% (88.9–98.7), 90.3% (82.4–95.5), 19.9 (12.1–32.6), and 0.13 (0.08–0.12), respectively. Conclusion The All India Institute of Medical Sciences modified INDT NMI tool is a simple and structured instrument covering a wider symptomatology in the 1 month to 18 years age group with acceptable diagnostic accuracy.
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Affiliation(s)
- Sheffali Gulati
- Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Harsh Patel
- Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Biswaroop Chakrabarty
- Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Rachana Dubey
- Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | | | - R M Pandey
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Vinod K Paul
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | | | - Vyshakh Anand
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Ankit Meena
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
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10
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Nair MKC, Leela LM, George B, Bhaskaran D, Pillai AN, Sarasamma HNGN. CDC Kerala--The Untold Story. Indian J Pediatr 2016; 83:426-33. [PMID: 26988580 DOI: 10.1007/s12098-016-2071-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 02/16/2016] [Indexed: 11/28/2022]
Abstract
This article is our life time experience in conceptualizing and systematically developing Child Development Centre (CDC) Kerala in the last 25 years, from a research project to a national training centre in child and adolescent development and premarital counseling. CDC Kerala's major contribution was in creating a 'conceptual framework' of a valid link between childhood disability, low birth weight, adolescent girls' nutrition and fetal onset adult lifestyle diseases. It all started with a randomized controlled trial (RCT) proving beyond doubt that early stimulation is effective in improving the neurodevelopmental status of high risk babies at one and two years and the same cohort was followed-up in detail at 5, 13, 16, 19 and 24 completed years. The process of establishing CDC Kerala is being presented under (i) clinical child development, (ii) adolescent care counseling, (iii) young adults and premarital counseling and (iv) institution building.
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Affiliation(s)
- M K C Nair
- Kerala University of Health Sciences, Thrissur, Kerala, India. .,Child Development Centre, Thiruvananthapuram, Kerala, India.
| | - Leena Mundapalliyil Leela
- Kerala University of Health Sciences, Thrissur, Kerala, India.,Child Development Centre, Thiruvananthapuram, Kerala, India
| | - Babu George
- Child Development Centre, Thiruvananthapuram, Kerala, India
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Mukherjee SB, Aneja S, Krishnamurthy V, Srinivasan R. Incorporating developmental screening and surveillance of young children in office practice. Indian Pediatr 2015; 51:627-35. [PMID: 25128995 DOI: 10.1007/s13312-014-0465-1] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
CONTEXT Developmental concerns voiced by parents need to be responded to by structured developmental screening. Screening is the use of validated developmental screening tools to identify children with high risk of developmental delay out of an apparently normal population, while surveillance is the process of monitoring children identified as high risk by screening. Absence of routine screening can be attributed to problems at the level of parents, pediatricians or National policies. Hence vulnerable children are not detected early, and are denied benefit from appropriate developmental interventions. There are no definite guidelines for screening or for suitable tools for screening and surveillance. OBJECTIVES To review existing developmental screening and monitoring tools for children validated in Indian under-five children, and provide a proposed practice paradigm for developmental screening in office practice. EVIDENCE ACQUISITION Scientific papers were retrieved by an electronic database search using MeSH terms 'screening tool', 'developmental delay', and filter of 'children under 5 years'. Those relevant to office practice and validated internationally or in Indian children were reviewed. RESULTS Screening tools applicable to Indian office practice have been compared and certain tools have been recommended according to the level of risk of developmental delay. An algorithmic approach to screening has been given along with strategies for incorporation. CONCLUSIONS Screening and surveillance for high risk of developmental delay are essential components of child health care. It is possible to incorporate both into routine practice.
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Affiliation(s)
- Sharmila B Mukherjee
- Department of Pediatrics, Lady Hardinge Medical College and associated Kalawati Saran Childrens Hospital, New Delhi, India; and Ummeed Child Development Center, Mumbai, India. Correspondence to: Dr Sharmila B Mukherjee, Department of Pediatrics, Kalawati Saran Childrens Hospital, Bangla Sahib Road, New Delhi 110 001, India.
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12
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Editorials. Indian Pediatr 2014; 51:607-8. [DOI: 10.1007/s13312-014-0462-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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