Related Experiment Video
Updated: Sep 9, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Development of a Minimum Data Set (MDS) for the National Suicide Registry, India
Karthi Vignesh Raj K1, Ramdas Ransing2, Ramalho Rodrigo3
1Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Guwahati, Guwahati, IND.
Background:
Suicide is a major health concern around the globe, including India. Identifying various risk factors and confirming individual cases of is challenging to investigating agencies and clinicians. This study was carried out with the intention of preparing a standardized minimum data set (MDS) for the National Suicide Registry of India (NSRI) as recommended by the National Suicide Prevention Strategy (NSPS) for framing policy decisions on suicide.
Methods:
This study was conducted in three steps: a literature review to identify data elements, appointing experts and finalization of MDS items and content validation by two rounds of Delphi. The data elements were validated by calculating content validity index (I-CVI) and content validity ratio (CVR).
Result:
After literature review, the extracted data elements were divided into eight headings and forwarded to multidisciplinary experts. A total of 28 experts participated in this study. A total of 176 data elements were evaluated, out of which 169 data elements were finalized based upon I-CVI and CVR calculation and used for standardizing this MDS.
Conclusion:
A standardized MDS has been developed for NSRI. This MDS will facilitate uniform data collection on suicides across the country, addressing existing limitations in data collection. By analyzing data gathered through the MDS, policymakers can inform the NSPS, ultimately helping to reduce suicide rates in India.
More Related Videos
Related Concept Videos
Principles of Disease Surveillance
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Data Collection II
Censoring Survival Data
Data Collection I
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...

