Potential for establishing an injury surveillance system in India: a review of data sources and reporting systems.

Drowning Epidemiology Health systems India Injury surveillance Morbidity Mortality Road traffic injuries Unintentional injuries

Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
14 Dec 2020
Historique:
received: 15 04 2020
accepted: 30 11 2020
entrez: 15 12 2020
pubmed: 16 12 2020
medline: 15 5 2021
Statut: epublish

Résumé

Unintentional injuries account for 10% of deaths worldwide; the majority due to road traffic injuries, falls, drowning, poisoning and burns. Effective surveillance systems provide evidence for informed injury prevention and treatment and improve recovery outcomes. Our objectives were to review existing sources of unintentional injury data, and quality of the data on the burden, distribution, risk factors and trends of unintentional injuries in India and to describe strengths and limitations of health facility-based data for potential use in injury surveillance systems. We searched national and international organisations' websites to identify unintentional injury-related mortality and morbidity data sources in India. We reviewed and evaluated data collection methods for surveillance attributes recommended by World Health Organization (WHO). We visited health facilities at all levels from public and private sectors, emergency transport centres, insurance offices and police stations in settings reporting significant number of injuries. In these sites, we interviewed key stakeholders using an explorative approach on current data collection processes and challenges to establishing an injury surveillance system based on WHO guidelines. Major gaps were highlighted in injury mortality and morbidity data in India, including ill-defined causes of injury deaths and lack of standardisation in classification and coding. Site visits revealed that reporting standards of injuries varied, with issues around clarity of definitions, accountability, time points and lack of reporter/coder training. Major challenges were lack of dedicated staff and training. There is an important need to build human resource capacity, integrate data sources, standardise and streamline data collected, ensure accountability and capitalise on digital health information systems including insurance databases.

Sections du résumé

BACKGROUND BACKGROUND
Unintentional injuries account for 10% of deaths worldwide; the majority due to road traffic injuries, falls, drowning, poisoning and burns. Effective surveillance systems provide evidence for informed injury prevention and treatment and improve recovery outcomes. Our objectives were to review existing sources of unintentional injury data, and quality of the data on the burden, distribution, risk factors and trends of unintentional injuries in India and to describe strengths and limitations of health facility-based data for potential use in injury surveillance systems.
METHODS METHODS
We searched national and international organisations' websites to identify unintentional injury-related mortality and morbidity data sources in India. We reviewed and evaluated data collection methods for surveillance attributes recommended by World Health Organization (WHO). We visited health facilities at all levels from public and private sectors, emergency transport centres, insurance offices and police stations in settings reporting significant number of injuries. In these sites, we interviewed key stakeholders using an explorative approach on current data collection processes and challenges to establishing an injury surveillance system based on WHO guidelines.
RESULTS RESULTS
Major gaps were highlighted in injury mortality and morbidity data in India, including ill-defined causes of injury deaths and lack of standardisation in classification and coding. Site visits revealed that reporting standards of injuries varied, with issues around clarity of definitions, accountability, time points and lack of reporter/coder training. Major challenges were lack of dedicated staff and training.
CONCLUSIONS CONCLUSIONS
There is an important need to build human resource capacity, integrate data sources, standardise and streamline data collected, ensure accountability and capitalise on digital health information systems including insurance databases.

Identifiants

pubmed: 33317493
doi: 10.1186/s12889-020-09992-9
pii: 10.1186/s12889-020-09992-9
pmc: PMC7734854
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1909

Subventions

Organisme : World Health Organization
ID : Purchase Order 201646955
Pays : International

Références

Inj Prev. 2008 Dec;14(6):360-5
pubmed: 19074240
Inj Prev. 2017 Feb;23(1):1-7
pubmed: 27457243
Anthropol Med. 2020 Jun;27(2):212-233
pubmed: 31469301
Inj Prev. 2011 Jun;17(3):151-5
pubmed: 21493757
BMC Public Health. 2012 Jun 28;12:487
pubmed: 22741813
Lancet Glob Health. 2019 Dec;7(12):e1675-e1684
pubmed: 31708148

Auteurs

Jagnoor Jagnoor (J)

Injury Division, The George Institute for Global Health, New Delhi, India. jjagnoor1@georgeinstitute.org.in.
University of New South Wales, Sydney, Australia. jjagnoor1@georgeinstitute.org.in.

Manickam Ponnaiah (M)

National Institute of Epidemiology, Chennai, India.

Matthew Varghese (M)

St. Stephen's Hospital, Delhi, India.

Rebecca Ivers (R)

School of Public Health and Community Medicine, The University of New South Wales, Sydney, Australia.

Rajesh Kumar (R)

School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Shankar Prinja (S)

School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Aliki Christou (A)

School of Public Health, The University of Sydney, Sydney, Australia.

Tanu Jain (T)

Directorate General of Health Services, New Delhi, India.

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