INCLEN diagnostic tool for epilepsy (INDT-EPI) for primary care physicians: Development and validation

Scalable Transdiagnostic Early Assessment of Mental Health (STREAM): a study protocol

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.

Effectiveness of structured physiotherapy in constipation in children with neurodevelopmental disorders-a randomized trial

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.

A children's epilepsy diagnosis aid: Development and early validation using a Bayesian approach

INTRODUCTION

The diagnosis of epilepsy in children is difficult and misdiagnosis rates can be as much as 36%. Diagnosis in all countries is essentially clinical, based on asking a series of questions and interpreting the answers. Doctors experienced enough to do this are either scarce or absent in very many parts of the world so there is a need to develop a diagnostic aid to help less-experienced doctors or non-physician health workers (NPHWs) do this. We used a Bayesian approach to determine the most useful questions to ask based on their likelihood ratios (LR), and incorporated these into a Children's Epilepsy Diagnosis Aid (CEDA).

METHODS

Ninety-six consecutive new referrals with possible epilepsy aged under 10 years attending a pediatric neurology clinic in Khartoum were included. Initially, their caregivers were asked 65 yes/no questions by a medical officer, then seen by pediatric neurologist and the diagnosis of epilepsy (E), not epilepsy (N), or uncertain (U) was made. The LR was calculated and then we selected the variables with the highest and lowest LRs which are the most informative at differentiating epilepsy from non-epilepsy. An algorithm, (CEDA), based on the most informative questions was constructed and tested on a new sample of 47 consecutive patients with a first attendance of possible epilepsy. We calculated the sensitivity and specificity for CEDA in the diagnosis of epilepsy.

RESULTS

Sixty-nine (79%) had epilepsy and 18 (21%) non-epilepsy giving pre-test odds of having epilepsy of 3.83. Eleven variables with the most informative LRs formed the diagnostic aid (CEDA). The pre-test odds and algorithm were used to determine the probability of epilepsy diagnosis in a subsequent sample of 47 patients. There were 36 patients with epilepsy and 11 with nonepileptic conditions. The sensitivity of CEDA was 100% with specificity of 97% and misdiagnosis 8.3%.

CONCLUSION

Children's Epilepsy Diagnosis Aid has the potential to improve pediatric epilepsy diagnosis and therefore management and is particularly likely to be useful in the many situations where access to epilepsy specialists is limited. The algorithm can be presented as a smartphone application or used as a spreadsheet on a computer.

The development of a smartphone application to help manage epilepsy in resource-limited settings

PURPOSE

Epilepsy is treatable but in low- and middle-income countries (LMICs) it goes untreated with dire consequences for people with it and their families. There are not enough available doctors to treat it so it has been suggested that non-physician health workers (NPHWs) take a role in diagnosis and management. Tools will be essential to help them. A smartphone application (app) for episode diagnosis has proved safe and effective; this paper describes an app for epilepsy management.

METHODS

Questions were devised which captured temporal characteristics of episodes, diagnosis of episodes, seizure types, and epilepsy type, together with information on previous investigations, treatment, drug reactions, and current treatment. For untreated patients a management plan was suggested. The app generated a summary which could be sent to a remote specialist for advice. The finished app was evaluated in 23 people presenting with possible epilepsy by four doctors in training and one NPHW; its summary was compared to face-to-face evaluation by a neurologist.

RESULTS

The app was correct in 22 of 23 (96 %) patients for episode diagnosis, 2 of 2 for symptomatic seizures,18/20 (90 %) for epilepsy type and 9/10 (90 %) for treatment suggestion in untreated patients. The app took less than 15 min to complete.

CONCLUSION

The initial results suggest that this management app is a worthwhile tool to help inexpert doctors or NPHWs manage suspected epilepsy. Its accuracy is well within reported inter-observer agreement. In its present form it requires input from a remote epilepsy specialist. This combination is a potential solution to managing epilepsy in LMICs.

Managing Epilepsy by Telemedicine in Resource-Poor Settings

Epilepsy is a common and treatable disease; in rich countries the expectation is that two-thirds of people will have their seizure episodes controlled on medication. In low- and middle-income countries (LMICs) however most people are not on treatment either because no doctors live near them or the logistics of affordable drug supply is absent. People with epilepsy then are prone to the bad effects of this disease—death, disfigurement from accidents and burns, and social problems due to the stigma with which the disease is associated. So this represents a failure of conventional face-to-face medicine. Might a telemedicine approach do better? The World Health Organization has suggested that non-physician health workers are empowered to diagnose and manage epilepsy; to do this they will need considerable medical support, which might be provided by telemedicine through the telephone, smartphone applications or a combination. This paper sets out what telemedicine does at present for people with epilepsy in LMICs and suggests how it might be developed in the future.

Comprehensive management of epilepsy in onchocerciasis-endemic areas: lessons learnt from community-based surveys

BACKGROUND

Onchocerciasis-endemic regions are known to have a high epilepsy prevalence. Limited resources in these areas and poor access to healthcare by persons with epilepsy (PWE) result in a wide anti-epileptic treatment gap, poor seizure control and a high burden of seizure-related complications. Recent community-based surveys highlight the need for epilepsy management strategies suitable for remote onchocerciasis-endemic villages to ensure better health outcomes for PWE. In this paper, we propose a feasible approach to manage PWE in such settings.

MAIN TEXT

Improved management of PWE in onchocerciasis-endemic areas may be achieved by decentralizing epilepsy care. Simplified approaches for the diagnosis and treatment of epilepsy may be used by non-physicians, under the supervision of physicians or specialists. To reduce the treatment gap, a regular supply of subsidized anti-epileptic drugs (AED) appropriate for different types of onchocerciasis-associated epilepsy should be instituted. Setting up a community-based epilepsy surveillance system will enable early diagnosis and treatment of PWE thereby preventing complications. Community awareness programs on epilepsy must be implemented to reduce stigma and facilitate the social rehabilitation of PWE. Finally, strengthening onchocerciasis elimination programs by optimizing community-directed treatment with ivermectin (CDTI) and considering alternative treatment strategies might reduce the incidence of epilepsy.

CONCLUSIONS

A community-based approach with task-shifting of epilepsy care from specialists to non-physician health workers will reduce epilepsy-associated morbidity. Increased advocacy and collaboration with various stakeholders is needed to establish a sustainable, cost-effective chronic care model for epilepsy that will significantly improve the quality of life of PWE in onchocerciasis-endemic regions.

Neurodevelopmental disorders in children aged 2-9 years: Population-based burden estimates across five regions in India

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.

Development and validation of AIIMS modified INCLEN diagnostic instrument for epilepsy in children aged 1 month-18 years

OBJECTIVES

There is shortage of specialists for the diagnosis of children with epilepsy, especially in resource limited settings. Existing INCLEN (International Clinical Epidemiology Network) instrument was validated for children aged 2-9 years. The current study validated modifications of the same including wider symptomatology and age group.

METHODS

The Modified INCLEN tool was validated by a team of experts by modifying the existing tools (2-9 years) to widen the age range from 1 month to 18 years and include broader symptomatology in a tertiary care teaching hospital of North India between January and June 2015. A qualified 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 {128 boys (65%) and 69 girls (35%)}, with a mean age of 72.08 (±50.96) months, completed the study. The sensitivity, specificity, positive and negative predictive value, positive and negative likelihood ratio of the modified epilepsy tool were 91.5% (84.5-96.1), 88.6% (80.0-93.5), 89.7% (81.9-95.3), 90.8% (83.7-95.7), 8 (6.6-9.8) and 0.09 (0.07-0.12) respectively.

SIGNIFICANCE

The new modified diagnostic instruments for epilepsy is simple, structured and valid instruments covering 1month to 18 years for use in resource limited settings with acceptable diagnostic accuracy. All seizure semiologies as well as common seizure mimics like breath-holding spells are included in the tool. It also provides for identification of acute symptomatic and febrile seizures.

CDC Kerala--The Untold Story

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.

INCLEN Diagnostic Tool for Neuromotor Impairments (INDT-NMI) for primary care physician: development and validation

OBJECTIVE

To develop and validate a diagnostic tool for use by primary care physicians for diagnosing neuro-motor impairment among 2-9 year old children in primary care settings.

STUDY DESIGN

Modified Delphi technique involving national (n=49) and international (n=6) experts was used for development of INDT-NMI. The tool was then validated through a cross sectional study.

SETTING

Neurology specialty clinics of three tertiary care pediatric centers in New Delhi, India.

PARTICIPANTS

454 children aged 2-9 years [mean (SD) age: 60.4 (23.7) mo], selected through systematic random sampling, underwent assessment for identification and classification of neuromotor impairments (NMI).

INTERVENTION

All study subjects were first administered INDT-NMI (candidate test) by a trained physician followed by expert assessment for NMI and other neurodevelopment disorders (NDD) by team of two pediatric neurologists (Gold standard).

RESULTS

According to expert evaluation, 171 (37.8%) children had neuromotor impairments. There were four categories of subjects: NMI alone (n=66); NMI+other NDDs (n=105); Other NDDs without NMI (n=225) and 'Normal' group (n=58). Using expert evaluation as gold standard, overall sensitivity of the INDT-NMI was 75.4% and specificity was 86.8%. INDT-NMI helped graduate physicians to correctly classify 86.6% (112/129) children with NMI into different types (cerebral palsy, neuromotor diseases and other NMI). Graduate physicians assigned 40 children (8.8%) as 'indeterminate', 38 (95%) of whom had either NDD and/or NMI and thus merited referral. Misclassification of NMI occurred in those with mild changes in muscle tone, dystonia, or ataxia and associated NDDs.

CONCLUSIONS

Graduate primary care physicians with a structured short training can administer the new tool and diagnose NMI in 2-9 year old children with high validity. INDT-NMI requires further evaluation in actual primary care settings.