i-MANN: A Web-Based System for Data Management of Mental Health Research in India

Kaur, Jasmine; Verma, Vijay; Kumar, Vinod; Singh, Ravinder; Bhatia, Triptish; Sahu, Sushree; Manak, Madhur; Buttolia, Harish; Choudhary, Bhavik; Sharma, Yogesh; Shah, Santosh Kumar; Kumar, Parvinder; Kaur, Jasleen; Deshpande, Smita N.; Singh, Harpreet

doi:10.1177/0253717620969064

Cited by 3 publications

(2 citation statements)

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“…Briefly, PIs were assisted through all phases of study conceptualization, development and implementation by mentors assigned during the 2016 Grantathon and supported by the national coordinating unit (NCU) located at Dr. Ram Manohar Lohia Hospital (RMLH), New Delhi [ 7 , 9 ]. The data management unit (DMU), located at ICMR headquarters in New Delhi and led by a senior scientist, actively collaborated with the NCU and PIs to develop data entry, quality control and data management through i-MANN (ICMR-Mental Health Assessment National Network), a new database developed specifically for these projects [ 10 ]. Project-specific standard operating procedures were developed to detail activities, responsibilities and actions.…”

Section: Methodsmentioning

confidence: 99%

A mentored hands-on training model for scaling up implementation and intervention research in India: “connecting the dots”

Ransing

Hawk

McDonald

et al. 2023

Health Res Policy Sys

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Despite the high burden of mental disorders in low- and middle-income countries (LMICs), less than 25% of those in need have access to appropriate services, in part due to a scarcity of locally relevant, evidence-based interventions and models of care. To address this gap, researchers from India and the United States and the Indian Council of Medical Research (ICMR) collaboratively developed a “Grantathon” model to provide mentored research training to 24 new principal investigators (PIs). This included a week-long didactic training, a customized web-based data entry/analysis system and a National Coordination Unit (NCU) to support PIs and track process objectives. Outcome objectives were assessed via scholarly output including publications, awards received and subsequent grants that were leveraged. Multiple mentorship strategies including collaborative problem-solving approaches were used to foster single-centre and multicentre research. Flexible, approachable and engaged support from mentors helped PIs overcome research barriers, and the NCU addressed local policy and day-to-day challenges through informal monthly review meetings. Bi-annual formal review presentations by all PIs continued through the COVID-19 pandemic, enabling interim results reporting and scientific review, also serving to reinforce accountability. To date, more than 33 publications, 47 scientific presentations, 12 awards, two measurement tools, five intervention manuals and eight research grants have been generated in an open-access environment. The Grantathon is a successful model for building research capacity and improving mental health research in India that could be adopted for use in other LMICs.

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Section: Methodsmentioning

confidence: 99%

A mentored hands-on training model for scaling up implementation and intervention research in India: “connecting the dots”

Ransing

Hawk

McDonald

et al. 2023

Health Res Policy Sys

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“…Data obtained were entered into a database specially prepared for the purpose by the Indian Council of Medical Research (ICMR) [ 24 , 25 ]. Data were cleaned and checked for outliers.…”

Section: Methodsmentioning

confidence: 99%

Comparing the Indian Autism Screening Questionnaire (IASQ) and the Indian Scale for Assessment of Autism (ISAA) with the Childhood Autism Rating Scale–Second Edition (CARS2) in Indian settings

Chakraborty

Bhatia²,

Antony³

et al. 2022

PLoS ONE

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The Indian Autism Screening Questionnaire (IASQ), derived from the Indian Scale for Assessment of Autism ISAA (the mandated tool for autism in India), is an autism screening instrument for use in the general population by minimally trained workers. While ISAA has 40 items with four anchor points, the IASQ is a 10-item questionnaire with yes/no answers. It was initially validated using the ISAA. During its development the ISAA was itself compared to the Childhood Autism Rating Scale version 1 (ISAA Manual). In the present study, we evaluated both the ISAA and the IASQ in relation to the Childhood Autism Rating Scale version 2 (CARS-2). Methods: Participants were recruited from three settings: a referral clinic for neurodevelopmental conditions run by the Department of Paediatrics of a tertiary care teaching hospital (NDC OPD), the outpatient department of an institute for disability and rehabilitation (NIEPID), and from the community (CGOC). Persons between ages 3–18 were recruited following consent or assent (parent and child/adolescent). The IASQ was administered by a minimally trained administrator. It was followed by ISAA and the CARS-2 (in alternating order, by different evaluators blind to each other) (CARS2 SV (Standard Version) and CARS2 HF (High Functioning) as applicable). Sensitivity, specificity and area under the Receiver Operator Characteristics (ROC) curve were calculated for IASQ and CARS2, as well as for ISAA and CARS2. Concordance between CARS2 and ISAA was calculated using kappa coefficient. Results: A total of 285 participants (NIEPD n = 124; NDC OPD, n = 4; CGOC n = 157) (a total of 70 with autism and 215 controls) participated. IASQ and CARS2 were administered on 285 participants, while IASQ and ISAA were administered on 264 participants. When IASQ was compared to CARS2, sensitivity was 97%, specificity 81%, PPV 63%, NPV 99% at cut off 1 while these values were 97%, 92%, 79% and 99% respectively at cut off 2. There was high concordance between CARS2 and ISAA (Kappa 0.907, p<0.0001). Conclusions: IASQ has satisfactory sensitivity, specificity and concordance when compared with CARS2; it can be used for screening children with autism in community. The ISAA also showed a high concordance with CARS2, as it had with the older version of CARS.

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Using Computational Knowledge Extraction Approach to Assess Three Decades of Health Management Information Systems for Informed Actions

Kuika Watat,

Agbozo

2024

Lecture Notes in Business Information Processing

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i-MANN: A Web-Based System for Data Management of Mental Health Research in India

Cited by 3 publications

References 10 publications

A mentored hands-on training model for scaling up implementation and intervention research in India: “connecting the dots”

A mentored hands-on training model for scaling up implementation and intervention research in India: “connecting the dots”

Comparing the Indian Autism Screening Questionnaire (IASQ) and the Indian Scale for Assessment of Autism (ISAA) with the Childhood Autism Rating Scale–Second Edition (CARS2) in Indian settings

Using Computational Knowledge Extraction Approach to Assess Three Decades of Health Management Information Systems for Informed Actions

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