Observational studyBMJ open2015
The impact of road traffic injury in North India: a mixed-methods study protocol.
Observational study in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Characteristics, likelihood and challenges of road traffic injuries in China before COVID-19 and in the postpandemic era.Humanities & social sciences communications · 2023Review
- Road Traffic Injuries and Related Safety Measures: A Multicentre Analysis at Military Hospitals in Tabuk, Saudi Arabia.Emergency medicine international · 2021Article
- Article
- Health-Related Quality of Life and Function after Paediatric Injuries in India: A Longitudinal Study.International journal of environmental research and public health · 2017Article
- Maxillofacial Injuries in Motorcyclists Following the Implementation of Helmet.Annals of maxillofacial surgeryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRoad traffic injuries are a large and growing public health burden, especially in low and middle income countries where 90% of the world's deaths due to road traffic injuries are estimated to occur. India is one of the fastest growing economies, with rapid motorisation and increasing road traffic burden. However, there are limited data addressing the problem of non-fatal road traffic injuries, with existing data being of poor quality, non-representative and difficult to access, and encompassing a limited number of relevant variables. This study aims to determine the outcomes of road traffic injuries on function and health-related quality of life, to assess their social impact and to weigh the economic cost of road traffic crashes in an urban setting in India. METHODS AND ANALYSIS: This prospective observational study will recruit approximately 1500 participants injured in road traffic crashes, who are admitted to hospital for >24 h at any of three participating hospitals in Chandigarh, India. Face-to-face baseline interviews will be conducted by telephone at 1, 2, 4 and 12 months postinjury. Standardised tools will be used to collect data on health and social outcomes, and on the economic impact of road traffic crashes. Descriptive analysis and multivariate models will be used to report outcome data and associations. The qualitative in-depth interviews will be analysed thematically using content analysis. This study will provide the first comprehensive estimates on outcomes of serious road traffic injury in India, including economic and social costs, and the impact on individuals and families. ETHICS AND DISSEMINATION: Primary ethics approval was received from the Postgraduate Institute for Medical Education and Research, institute's ethics committee, Chandigarh, India. Results will be disseminated via the usual scientific forums including peer-reviewed publications and presentations at international conferences.
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Identifiers
What OpenQuestion holds
Registered trials
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.