Evidence map›Paper›PMID 39705697›Full record

ArticleJMIR research protocols2024

Strengthening Cause of Death Statistics in Selected Districts of 3 States in India: Protocol for an Uncontrolled, Before-After, Mixed Method Study.

Ashoo Grover, Saritha Nair, Saurabh Sharma, Shefali Gupta, Suyesh Shrivastava, Pushpendra Singh, Srikanta Kanungo, Senthanro Ovung, Charan Singh, Abdul Mabood Khan and 4 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ashoo Grover *Indian Council of Medical Research, New Delhi, India.ORCID 0000-0001-8027-8608
Saritha Nair *Indian Council of Medical Research, New Delhi, India.ORCID 0000-0002-4560-6124
Saurabh Sharma *Indian Council of Medical Research, New Delhi, India.ORCID 0000-0001-6744-5846
Shefali Gupta *Indian Council of Medical Research-National Institute for Research in Digital Health and Data Science, New Delhi, India.ORCID 0000-0002-5636-7261
Suyesh Shrivastava *Indian Council of Medical Research-National Institute of Research in Tribal Health, Jabalpur, India.ORCID 0000-0002-1311-7895
Pushpendra Singh *Indian Council of Medical Research-National Institute of Research in Tribal Health, Jabalpur, India.ORCID 0000-0001-9453-8669
Srikanta Kanungo *Indian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, India.ORCID 0000-0001-5647-0122
Senthanro Ovung *Indian Council of Medical Research-National Institute for Research in Digital Health and Data Science, New Delhi, India.ORCID 0000-0003-2893-4932
Charan Singh *Indian Council of Medical Research-National Institute for Research in Digital Health and Data Science, New Delhi, India.ORCID 0009-0008-9315-5111
Abdul Mabood Khan *Indian Council of Medical Research-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India.ORCID 0000-0002-0383-4604
Sandeep Sharma *Indian Council of Medical Research-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India.ORCID 0000-0002-9872-1628
Subrata Kumar Palo *Indian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, India.ORCID 0000-0003-0582-0350
Tapas Chakma *Indian Council of Medical Research-National Institute of Research in Tribal Health, Jabalpur, India.ORCID 0000-0001-8304-8816
Anjali Bajaj *Community Health Center, Haripur, Kangra, India.ORCID 0009-0001-2655-5579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMortality statistics are vital for health policy development, epidemiological research, and health care service planning. A robust surveillance system is essential for obtaining vital information such as cause of death (CoD) information.

objectiveThis study aims to develop a comprehensive model to strengthen the CoD information in the selected study sites. The specific objectives are (1) to identify the best practices and challenges in the functioning of the Civil Registration and Vital Statistics (CRVS) system with respect to mortality statistics and CoD information; (2) to develop and implement interventions to strengthen the CoD information; (3) to evaluate the quality improvement of the Medical Certification of Cause of Death (MCCD); and (4) to improve the CoD information at the population level through verbal autopsy for noninstitutional deaths in the selected study sites.

methodsAn uncontrolled, before-after, mixed method study will be conducted in 3 blocks located in the districts of 3 states (Madhya Pradesh, Uttar Pradesh, and Odisha) in India. A baseline assessment to identify the best practices and challenges in the functioning of the CRVS system, along with a quality assessment of the MCCD, will be conducted. An intervention informed by existing literature and the baseline assessment will be developed and implemented in the study sites. The major components of intervention will include a Training of Trainers workshop, orientation of stakeholders in the functioning of the CRVS system, training of physicians and medical officers in the MCCD, and training of community health workers in World Health Organization Verbal Autopsy 2022 instrument. Postintervention evaluation will be carried out to assess the impact made by the intervention on the availability and quality improvement of CoD information in the selected study sites. The outcome will be measured in terms of the quality improvement of the MCCD and the availability of CoD information at population level through verbal autopsy in the selected study sites.

resultsThe project has been funded, and regulatory approval has been obtained from the Institutional Ethics Committee. The data collection process began in May 2023. The duration of the study will be for 24 months.

conclusionsOur study is expected to provide a valuable contribution toward strengthening CoD information, which could be helpful for policy making and further research. The intervention model will be developed in collaboration with the existing functionaries of the health and CRVS systems in the selected study sites that are engaged in reporting and recording CoD information; this will ensure sustainability and provide lessons for upscaling, with the aim to improve the reporting of CoD information in the country. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/51493.

Indexed as

Cause of DeathHumansIndiaQuality ImprovementVital Statisticscapacity buildingcause of deathCivil Registration and Vital StatisticsMedical Certification of Cause of Deathtraining

Identifiers

PMID39705697
PMCPMC11699485

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.