Literature DB >> 32322803

Development and Implementation of Integrated Road Traffic Injuries Surveillance - India (IRIS-India): A Protocol.

Bontha V Babu1, Kamalabai R John2, Ponnaiah Manickam3, Jugal Kishore4, Rajesh Singh5, Daya K Mangal6, Ashish Joshi7, Mohan Bairwa6, Yogita Sharma1.   

Abstract

Road traffic accidents stand as one of the leading causes of mortality and morbidity across the globe. The reasons for the high burden of road traffic injuries (RTIs) in developing countries are increasing in the number of motor vehicles, poor enforcement of traffic safety regulations, inadequacy of health infrastructure and poor transport facility. However, the systematic collection of road traffic data is not well developed in many developing countries including India and under-reporting of RTIs and deaths are common. Hence, surveillance of RTIs is recommended to assess the burden, to identify high-risk groups, to establish an association with probable risk factors and to plan interventions to control the RTIs. The broad objective of this study is to establish an electronic-based comprehensive and integrated RTI surveillance system, to assess the burden of RTIs, its risk factors and outcomes across rural and urban settings in India. This study with the support of the Indian Council of Medical Research (ICMR) is progressing in three cities (Chennai, Delhi and Jaipur) and two rural areas (Chittoor and Tehri-Garhwal). At each centre, major sources of data can be categorized under two categories including health facilities and community. In urban areas, one trauma centre, one private hospital and a community of 10000-population are included in the study. In rural areas, a district hospital, a private nursing home and two sub-centres areas of different primary health centres at each site are included for the surveillance. Passive surveillance is done at the trauma centres/district hospitals, while active surveillance is done in private hospitals/nursing homes, sub-centres and communities. Before establishing the surveillance system, situational analysis has been undertaken. Surveillance-related software was developed during the preparatory stage. This electronic surveillance platform allowed to gather data electronically across multiple sites. This internet-enabled surveillance platform has several modules to capture and analyse the data. The present study provides a model of surveillance including both passive and active surveillance to cover maximum number of RTIs. This study further provides the first comprehensive epidemiology of RTIs. The results of these studies will contribute to the setting of research and investment priorities to tackle the burden of RTIs.
© 2020 Tehran University of Medical Sciences.

Entities:  

Keywords:  Accidents, Traffic; India; Surveillance; Trauma

Year:  2019        PMID: 32322803      PMCID: PMC7163273          DOI: 10.22114/ajem.v0i0.292

Source DB:  PubMed          Journal:  Adv J Emerg Med        ISSN: 2588-400X


Introduction

Epidemiology

Road traffic injuries (RTIs) are a large and growing public health burden and account for nearly 1.36 million deaths worldwide in 2015. RTI was ranked as the eighth leading cause of years of life lost (YLLs) (1). The burden of RTIs is projected to be the fourth leading cause of disease burden by 2030 (2, 3). The low- and middle-income countries (LMICs) account for a disproportionate share of RTIs worldwide (4). One-fifth of these deaths occurred in South Asia. Rapid urbanization and motorization associated with rapid economic growth are some of the reasons for the rising RTI related burden in South Asia (5). India is a nation of more than 1 billion people and is one of the fastest-growing economies with rapid motorization leading to increasing RTIs burden; It has one of the highest reported mortality rates from RTI in the world (6, 7). In 2015, 6.3 million persons injured and out of them, about 1.5 million died. It is further noted that remarkable interstate variations exist in both injury rates and death rates (8). The variations in injury rates are due to several reasons like conditions of roads and vehicles, and implementation of safety measures. However, the fatality rate amongst road traffic accident (RTA) victims is different and it depends on the health system’s response. Unfortunately, 50–60% of deaths occur either at the scene or in route to the hospital (9). These fatality rates (percentage of deaths out of total RTA victims) varied remarkably across Indian states and union territories. On average, 24% of RTA victims died in 2015. But this rate is as high as 52.6% in Punjab, and as low as 8.8% in Kerala (8). Previous studies have found traffic crashes to be under-reported in India by 5% for deaths and more than 50% for serious injuries (10). It is possible that most of the critical and immediately fatal cases may not get recorded in crowded urban areas of India. Therefore, it is likely that the fatality statistics for urban areas in India may be underestimated by say 10–20%. According to the Ministry of Road Transport and Highways, 61% of the RTI fatalities occur in rural areas and it is possible that a larger number of cases go unreported on rural roads too. If we assume that a significant proportion of fatalities that occur many days after the crash in rural areas are missed (that would reduce the number by less than 30% of the total deaths) and a smaller proportion of deaths on the spot or on the way to the hospital are missed, then we can expect underreporting to be around 50% of rural deaths. Overall, this would imply that the underreporting of fatalities in India may not be less than 50%.

Risk factors

Rather than mechanical, its human factor that contributes significantly to the increasing number of road accidents in India. Alcohol’s involvement in various types of injuries, including RTIs is well-established among emergency department patients and has also been documented in India (11). The risk of being involved in a crash increases significantly above a blood alcohol concentration of 0.04 g/dl (12). Over speeding, refusal to follow traffic rules, and reckless driving are the main reasons for RTAs. Reckless driving like the use of mobile phones during driving, non-use of helmets and non-use of seat-belts are significant contributing factors for RTAs. Driver fatigue and sleepiness also contribute to crashes. Improper designing of roads and lack of pedestrian pavement are other contributing factors. Only 28 countries have comprehensive road safety laws on major key risk factors like drunken driving, speeding, and failing to use helmets, seat-belts and child restraints (13).

Economic impact

RTIs can also require expensive hospital-based treatment, including trauma care (14). High out of pocket (OOP) expenditures pose a major economic burden for the affected families with one of the prior studies showing average household OOP expenses ranging from 380–780 US$ in Bangalore (15). A study of 95 traffic accident cases in Chandigarh showed that OOP medical expenses averaged 100 US$ (16). One-half of the households with traffic injury cases, income and food consumption declined, and indebtedness increased (17, 18). A review of four studies in India estimated the cost of traffic crashes in the country to be between 0.29% and 0.69% of the gross domestic product (19).

Prevention and management

Road traffic deaths and injuries are preventable. Effective road safety interventions should address the traffic system as a whole and look into interactions between vehicle, road users, and road infrastructure to identify the solution. Many deaths and impact of injuries can be prevented with first aid if causalities are treated immediately and by taking victims at the earliest to appropriate trauma care centre. ‘Golden Hour’, the first hour after trauma, is vital from the health system’s perspective. If proper care is given during this period, the victims have a greater chance of survival and a reduction in the severity of their injury. Injuries occur due to a combination of agent, host, vector and environment factors (20). Understanding injuries using this model will help in identifying factors involved in an injury. This would help policymakers, professionals, product manufacturers and others to identify situations and target interventions to prevent such injuries from happening in the future or reduce the harm done when they happen. ▪ Limited data exist addressing the problem of RTIs. ▪ Existing data is of poor quality, non-representative and difficult to access, and includes a limited number of relevant variables. ▪ The incidence and burden of RTI remains poorly measured in India. ▪ Various data sources exist in different parts of the country that capture information on RTIs. These data sources include that of hospital and police (for example, National Crime Records Bureau (NCRB)). However, there is no digital RTI surveillance system that can integrate these various data sources to optimally use the information to predict etiological variables of RTI and predictors of poor outcomes due to RTI across diverse settings.

Existing challenges

There is clearly a need for data on RTIs, which is essential for implementing preventive strategies. Strengthening and undertaking research on the public health burden and impact of RTIs, understanding of their risk factors, and studying the characteristics of trauma, using hospital and population-based studies are need of the hour. Most of the issues can be addressed by establishing a surveillance system. Hence, the Indian Council of Medical Research (ICMR) has commissioned this multi-centric study to develop a model of passive surveillance at the higher health facility and active surveillance from health and non-health sectors and community.

Objectives of the study

• Broad objective The broad objective of this study is to establish an electronic-based comprehensive and integrated RTI surveillance system, to assess the burden of RTI, its risk factors and outcomes across rural and urban settings in India. • Specific objectives ▪ To design an online electronic-based RTI surveillance system (mobile app) that enables capture of RTI data from various sources. ▪ To conduct a situation analysis of data sources, systems and quality for RTIs. ▪ To assess the facilities available for pre-hospital and trauma care in the district including for emergency transport system and their utilization. ▪ To describe the availability and utilization pattern of existing facilities for post-crash emergency care at various levels of the health system in both urban and rural areas. ▪ To describe the burden of RTAs and its epidemiological factors including the outcome. ▪ To describe factors associated with RTI of serious nature.

METHODS

Definition of RTI

An RTI is a fatal or non-fatal injury incurred as a result of a collision on a public road involving at least one moving vehicle.

Study area

This study is progressing in three cities (Chennai, Delhi and Jaipur) and two rural areas (Chittoor and Tehri-Garhwal) located across the country. The RTI-related data given in this description is calculated based on the data given by India’s NCRB (21). • Chennai Chennai is the capital city of Tamil Nadu State. Tamil Nadu accounted for 10.5% of total accidental deaths in India in 2015. Chennai reported a total of 8206 RTI victims, of which 886 died in 2015. • Chittoor Chittoor is one of the district headquarters towns of Andhra Pradesh state. In 2015, the total number of RTAs in Andhra Pradesh were found to be 22,839 (about 5% of the country). Due to these RTAs, 29,439 injured and 8,297 died, these figures constitute 6.1% and 5.6% to the national totals, respectively. • Delhi Delhi is the second-largest metropolis by area and population in India. Delhi had reported the second-highest cases of RTAs after Chennai. The total number of persons killed in road accidents increased by 4.6% and road accident injuries by 1.4% between 2014 and 2015. Delhi city registered a total of 7,148 RTAs in 2015. Due to these RTAs, 7,385 had RTIs and 1,316 died. • Tehri-Garhwal It is a hilly area in the state of Uttarakhand. Uttarakhand reported 1,523 RTA in 2015. The RTIs and deaths due to these RTAs are 1,657 and 913, respectively. • Jaipur Jaipur is the capital city of Rajasthan. Rajasthan is the largest state in the country in terms of geographical area, which constitutes 10.4% area of the country and 5.7% of the national population. Jaipur registered a total of 3,151 RTAs in 2015. The RTIs and deaths reported due to these RTAs are 2,892 and 939, respectively.

Source of data

This study is progressing in 5 participating centres across the country. At each centre, major sources of data can be categorized under two categories including health facilities and community. In urban areas (Chennai, Delhi and Jaipur), one trauma centre, one private hospital and a community of 10000-population are included in the study. In rural areas (Chittoor and Tehri-Garhwal), a district hospital, a private nursing home and two subcentres areas of different primary health centres at each site are included for the surveillance. Passive surveillance is done at the trauma centres/district hospitals, while active surveillance is done in private hospitals/nursing homes, sub-centres and communities. Any individual brought to any surveillance points will be enrolled in the study. Before establishing the surveillance as described above, situational analysis has been undertaken (22). The tools used for this situational analysis and also surveillance tools are given as appendix 1 and 2, respectively.

Procedure for capturing data

Software is developed during the preparatory stage by the Foundation of Health Technology Society (FHTS). FHTS is a collaborating institute and supported all teams and ICMR in developing, testing and implementing the electronic surveillance platform. This electronic surveillance platform allowed individuals to gather data electronically across multiple sites. This internet-enabled surveillance platform has several modules including: (i) User management module: Users can register their facility and create a site profile. The system will assign a unique ID to each site. Each site coordinator will have its own user profile. In case there is no internet, the system will still capture data as a standalone application and will be able to transmit the data to a central server once connected to the internet. The site coordinator will be able to approve multiple users at each site to use the system and will also provide user access control based on their roles. (ii) Data collection module: The surveys will be electronically designed so that the surveillance platform is easy to use even if the users have limited technology literacy. (iii) Data validation module: If there are any error/missing data, the system will generate alert and flag the variables to ensure data completeness and accuracy. (iv) Data management module: The system will have import and export functions such that it can import the data files in Excel, CSV or other database formats into the system. This will facilitate to import the data from 108 services into our existing system. Further, the data from police records will also be captured into the system. (v) Data visualization module: The data recorded will then be interactively visualized using a series of charts, and graphs. All data will be secured using a database protected password or the data gathered will be stored in an encrypted format.

Intervention

• Alerting the district administration Bi-monthly alerts/bulletins will be released based on the surveillance data of 2 months. These alerts will highlight the incidence of RTIs and its risk factors and provide appropriate actions to be taken by the district/local authorities including health, police and transport systems. The actions taken by the above authorities/systems will be documented by following different methods, including interviewing key officials and community members. • Creating awareness The research team will develop health awareness material on prevention of RTIs and on care to be taken immediately after an accident. It will highlight the importance of the golden hour. It will be similar to the training meant for first responders in trauma care.

Discussion

RTIs are a major issue in the world, especially in LMICs. India is experiencing a high burden of RTIs and the fatality rate is high compared to many countries (8). However, one of the main problems in developing strategies for preventing RTAs and injuries is the lack of actual and quality-related data (1, 23, 24). Hence, the establishment of RTI surveillance is an important step for a better understanding of the problem thus leasing to RTI prevention (25). There is substantial evidence that effective surveillance systems help in reducing the burden of RTIs and their impact (26). Hence, RTI surveillance is recommended to assess the burden of injuries, identify high-risk groups and probable risk factors, and plan interventions to control and monitor the impact (27). Hence, this study aimed to establish an electronic-based comprehensive and integrated RTI surveillance system. After establishing the system and demonstrating the feasibility of establishment within the public health system, attempts will be made to handing over it to the government for scaling-up. It is the responsibility of the government health sector to ensure the establishment of necessary data systems through the surveillance system (28). Along with collecting qualified data; analysis, interpretation and dissemination of health information and getting feedback to the beneficiaries must be considered (29). In India, RTAs are more common on urban roads and on roads connected to urban area and majority of the accident victims are referred to urban-based tertiary care hospitals. Hence a passive surveillance system in tertiary care hospitals is being established in this study. Most of the critical and immediately fatal cases are recorded and those who die in tertiary care hospitals also enter the official statistics through police network. It is reported that more than 60% of the fatalities occur in rural areas and usually these cases of injuries, particularly non-fatal and minor injuries, go unreported on rural roads (30). These non-fatal and minor injuries were treated in smaller nursing homes and clinics. Usually, these facilities are of private in nature, and they do not like to involve in medico-legal cases. In addition, a significant proportion of fatalities, which occur after the crash in rural areas are missed. Some deaths escape from police records as people involved in the road accidents settle the dispute out of the legal system. All these cases seldom get registered with the police. In view of these realities, the present study has integrated an active surveillance system to cover police stations, community-based health facilities like primary health centres, community health centres and private hospitals. Active surveillance is also placed in communities to track missing cases. Thus, this study is being established both passive and active surveillances comprehensively to capture all RTIs and related deaths in a particular geographical area.

Conclusions

RTIs have been recognized globally as an important public health problem, however, the deaths and injuries are preventable. The situation needs serious efforts through governmental policies, including establishing a surveillance system to capture RTIs occurred at all levels. The present study provides a model of surveillance including both passive and active surveillance to cover maximum number of RTIs. This study further provides the first comprehensive epidemiology of RTIs. The results of these studies will contribute to the setting of research and investment priorities to tackle the burden of RTIs.
ObjectivesChecklist
Step: 1 Stakeholder Analysis
Identification of organizations, potential partners and individuals who have an interest in the collection and/or use of road safety dataHave you identified all stakeholders in the law enforcement, transport and health sectors?
Have you identified other types of stakeholders (e.g. insurance industry, NGOs, academic institutions, automobile industry)?
Examine the roles and activities of all stakeholdersHave you identified the activities and roles of each stakeholder in relation to road safety data?
Have you identified the stakeholders who will be key supporters or opponents?
How stakeholders should be involved in the processWhat is the nature, mode and form of Participation?
Have you convened a stakeholder meeting, including supporters and opponents, data collectors and data users?
Step: 2 Assessment of data sources and existing systems
Assess data sourcesWhat are all organizations or individuals involved in collection of data pertaining to RTI?
What information or variables are collected in the data sources?
What is the format used to collect data?
What is the system to store and process data?
Assess data systemsWhat population or geographical area (jurisdiction) is covered?
Does it provide a census of incidents among a whole population, or does it include data from a sample of the population only?
Are there estimates of population coverage/completeness?
What events are captured (i.e. fatalities, non-fatal injuries, damage-only crashes)?
What definitions are used?
How are data transferred from the crash scene to the database (including reporting requirements)?
What are the existing and potential linkages with other databases?
What are the formal/informal data-sharing mechanisms with other agencies/sectors?
What format are data stored in (as case-level records, tabulations provided to customized specifications, or only as pre-tabulated results)?
What are training tools and training status of the staff in data systems?
How accessible are the data?
Assess data qualityAre there standard definitions available for inclusion and exclusion of crashes and injuries?
Are there SOPs available for entire data flow management process?
Are there any under-reporting of crashes/Injuries to and by the authorities?
For the events captured, are the data complete and accurate? What validation procedures are in place?
What is the frequency with which missing data occurs?
Is that the missing data systematic for certain fields and crashes?
Are there any errors in recording data, coding data and data entry?
Step: 3 End user needs assessment
For setting up and expanding the Road safety information system to enhance the usability of the systemWho are the users of the data system for policy action?
What are the circumstances or situations that lead to require road safety information?
What is the type of information different users requiring and expect from an information system?
What are the sources of information users currently relying?
What is the preferred format in which users would like to access information?
What are the factors that affect or determine their access to, and use of, road safety information?
Step: 4 Environmental Analysis
Overview of political environmentIs there a lead agency responsible for road safety? What is it and what is its main function?
Which are the main government departments involved in road safety decision-making and what role does each department play?
What is the nature of inter-agency relationships?
Is there a road safety strategy, and does it include a data component?
What are the existing policies in transport, law enforcement, health and finance that are relevant to road safety? Do they have data components? Which factors in the political environment willdrive change, and which will oppose it?
Is there adequate capacity for implementation/improvement of data collection, data processing, data analysis, and dissemination and use of data?
Data collectionData management
Report generationPolicy makers
Clinical managementAdvocacy groups

Surveillance tool for Health Facility

Q. No.QuestionData entry ruleValues AssignedReqSkip Pattern
FORM I
APERSONAL IDENTIFICATION
1Centre CodeDropdownChennai1Yes
Chitoor2
Jaipur3
Delhi4
TehriGarhwal5
2Hospital CodeDropdownPublic sector health facility1Yes
Private sector health facility2
3Serial numberNumeric Box0001–9999Yes
4User codeNumeric Box01–99Yes
5IRIS IDAuto-generated. Should not allow entering or editing the field.Will constitute the Centre code, Hospital code, User code and Serial No.Yes“Auto generated field” appears if we try to enter.
For e.g. IRIS:ID:11010005 means case belongs to Chennai, Public hospital and 1st user and is in the fifth case in serial order
Once IRIS ID is generated it should be displayed as the header of the form in display. One can save the form only after filling up to IRIS ID, before which the form cannot be saved and should be discarded. Every form should be saved with its IRISID as name.
6Medical Record Number (Inpatient/Out Patient Number)Text BoxYes
7AR Number (Accident Register number)Numeric box
8Admission DateCalendar pickdd/ mm/ yyyyYes
9Admission TimeTime pickhh:mm
10Respondent NameText Box (Alpha only)Yes
11How are you related to the injured?DropdownSelf1YesIf 1 is selected Skip Q12 to 14. If 997 go to Q12, else Skip Q12.
Family member2
Friend3
Driver4
Co-passenger5
Unknown passerby6
Others997
12Specify Relationship with injuredText Box
13Do you have a mobile number? (Respondent)Radio buttonYes1YesIf 1 is selected go to Q14 else skip Q14.
No2
Unknown998
14Enter Mobile Number of the RespondentNumeric BoxAdd zero (0) before 10 digit mobile numberYes
15What is the name of the Injured?Text Box (Alpha only)Yes
16Do you have mobile number? (Injured)Radio buttonYes1YesIf 1 is selected go to Q17 else skip Q17.
No2
Unknown998
17Enter Mobile number of the injuredNumeric BoxAdd zero (0) before 10 digit mobile numberYes
18Do you know the address of the injured?Radio ButtonYes1YesIf 1 is selected go to Q19 else skip Q 19 to 22.
No2
19State of InjuredDropdownAll States Of IndiaYes
20District of InjuredDropdownDistricts of selected stateYes
21Taluk of InjuredDropdownTaluk of selected DistrictYes
22Village/Area of InjuredText Box
BSOCIO DEMOGRAPHICAL DETAIL
1Age of InjuredRadio button (Text box is enabled based on Q1. If 1 is selected Text box1and unknown is enabled, If 2 is selected Text box2 and unknown is enabled)< 1year (In Months) – Text box1YesB01_AgeYr s is greater than or equal to 5 show Q4, Q5 or Skip Q4, Q5
>1 year (In Years) Text – box2
Unknown998
2Gender of InjuredDropdownMale1Yes
Female2
Transgender3
3Educational status of the InjuredDropdownIlliterate1Yes
Primary2
High School3
Higher Secondary4
Diploma/Certified course5
Graduate and above6
Unknown998
4Occupation of the InjuredDropdownBusiness1YesIf 997 go to Q5, else Skip Q5.
Self Employed/Medium Business2
Professional/Executive/Managers3
Employee (Govt./Private)4
Skilled Manual (Artisians, Agriculture, Fishery, Forestry)5
Unskilled Manual (Labour)6
Home maker7
Student8
Unemployed9
Others997
Unknown998
5Specify Occupation of the injuredText Box
CACCIDENT IDENTIFICATION DETAILS
1Date of accidentDate pickdd/mm/yyyyYes
2Time of accidentTime pick (Scroll)hh:mmYes
3State of accidentDropdownAll States Of IndiaYes
4District of accidentDropdownDistrict of selected stateYes
5Taluk of accident stateDropdownTaluk of Selected DistrictYes
6Village/Town of accident siteText BoxYes
7Nearest landmark of accident siteText Box(GIS mapping-insert map)
8What is the type of accident?DropdownSelf-fall/Skid1YesIf 997 go to Q9, else Skip Q9.
Crash with pedestrian2
Crash with parked vehicle3
Crash with fixed obstacle4
Crash with non-fixed obstacle5
Crash between two
vehicles6
Crash with two or more
vehicles7
Crash with animal8
Others997
Unknown998
9Specify Type of AccidentText Box
10What was the weather condition at the time of accident?DropdownClear1YesIf 997 go to Q11, else Skip Q11.
Hot/dry weather2
Rainy3
Fog/Mist/Smoke/Smog4
Sever winds5
Landslide6
Snow7
Others997
Unknown998
11Specify weather conditionText BoxYes
12What was the light condition at the time of accident?DropdownExcess Light1Yes
Sufficient Light2
Partial light3
Insufficient Light4
Unknown998
13Has FIR been lodgedDropdownYes1YesIf 1 go to Q14 else Skip Q14
No2
Unknown998
Not applicable996
14FIR NumberText box
DROAD RELATED DETAILS
1What is the type of road of the accident site?DropdownNational highway1Yes
State highway2
Major District Roads (MDR)3
Other District Roads(ODR)4
Village Roads (VR)5
Unknown998
2What is the sub-type of the accident siteMultiple ChoiceOne way road1YesIf any 6,7,8,11,12 selected go to Q3 else Skip Q3 and Q4.
Two way road2
Single lane3
Two lane road4
Four or above lane road5
Cross Road6
Round about7
Railway crossing8
Curve road/Blind curve9
Gradient road10
T or Staggered junction11
Multiple Junction12
Unknown998
3Traffic Controlled byMultiple choiceTraffic signal/Rail road barrier1YesIf 997 is selected go to Q4 else Skip Q4.
Traffic personnel/Railway personnel2
Concerned Institute/organization personnel3
Public Volunteer4
Uncontrolled5
Others997
Unknown998
4Specify Traffic ControlText Box
5How were the road conditions at the accident siteDropdownSafe1YesIf 997 is selected go to Q6 else Skip Q6.
Slippery (Wet/Oily)2
Muddy3
Rutted/Pot holed4
Flooded5
Snow6
Work under progress7
Others997
Unknown998
6Specify Road ConditionText Box
7Do you know the Speed limit of the Road?DropdownYes1YesIf 1 is selected go to Q8 else Skip Q8.
No2
Not applicable996
8Enter the Speed LimitNumeric BoxYes
EVEHICLE INFORMATION
1How many vehicles involved in the crash?Numeric BoxYes
The following Questions Q2 to Q13 should repeat based on the number entered in Q1. The variable name should change with the number. For example, if 3 is entered in Q1, 3 times the Questions 2 to 13 will be repeated each time variable name number will change (Eg: E02_TypeVehcl_1 first time, E02_TypeVehcl_2 Second time and E02_TypeVehcl_3 Third time).
Each set should have the label “Vehicle (number-1) Details”, the number is based on the number of times the Question set is repeated. For example, first set will have the label “Vehicle 1 Detail”, Second set will have the label “Vehicle 2 Detail” and so on up to 5.
2 What was the type of vehicle involved in the accident? DropdownBicycle/Cycle rickshaw1 Yes If 997 is selected go to Q3 else Skip Q3.
Bullock cart2
Two wheeler geared3
Two wheeler non-geared4
Auto rickshaw5
Car6
Tempo traveler/Van/City ride7
Bus/Mini Bus8
Trucks/Tra ctors9
Lorry10
Others997
Unknown998
3Specify Vehicle:Text Box
4What is the special function of the vehicle?DropdownPersonnel private vehicle1YesIf 997 is selected go to Q5 else Skip Q5.
Public passenger vehicle2
Private passenger vehicle3
Goods vehicle (Public/Co mmercial)4
Govt. official vehicle5
Others997
Unknown998
5Specify vehicle functionText Box
6Vehicle manoeuvre (action taken by vehicle immediately before it become involved in crash)DropdownNormal straight driving1YesIf 997 is selected go to Q7 else Skip Q7.
Changing lane2
Reversing3
Turning4
Over taking5
Slowing/st opping/mo ving off6
Parked7
Driving off the lane/road8
Others997
Unknown998
7Specify vehicle manoeuvreText Box
8What is the driving licensure status of the vehicle driver?DropdownPresent Valid1Yes
Present Invalid2
Absent3
Learners License4
Unknown998
Not applicable996
9Was the vehicle over speeding at the time of accident?DropdownYes1Yes
No2
Unknown998
10What was the driving quality of the vehicle at the time of accident?DropdownSafe driving1Yes
Distracted Driving2
Uncontrolle d Driving3
Sleepless/worn out driving4
Unsafe driving due to health5
Impairment Unknown998
FPERSON RELATED DATA
1What type of road user was the injured person?DropdownDriver1YesIf 1 and 998 is selected skip Q2 and Q3. If 2 is selected go to Q2 and skip Q3. If 3 is selected go to Q3 and skip Q2
Passenger2
Pedestrian3
Unknown998
2What is the seating position of the passengerDropdownFront1Yes
Rear middle2
Rear side3
On the roof4
Standing inside/on vehicle5
Foot Board6
Pillion rider (sitting behind in two wheeler)7
Unknown998
3Pedestrian activity at the time of accident?DropdownCrossing road1Yes
Standing middle of the road2
Walking/standing along shoulder of the road3
Walking/standing in the footpath4
Unknown998
4What were the safety precautions taken by injured person at the time of accident?Multiple choiceSeat belt worn1YesIf 1 or 2 in Q1 in session F and 3 or 4 in Q2 in session E is selected enable only options 2, 4, 996 and 998 If 1 or 2 in Q1 in session F and 5, 6, 7 and 8 in Q2 in session E is selected then enable only options 1, 3, 4, 996and 998 If 3 is selected in Q1 in session F then enable only options 4, 5, 996 and 998. If 1 or 2 in Q1 in session F and 1, 2, 9, 10, 997 and 998 in Q2 in session E enable options only 4, 998 and 996.
Helmet worn2
Airbag present in vehicle3
Followed traffic signal4
Used Zebra crossing5
Unknown998
Not applicable996
5Who were Drunken/consumed alcohol during accident?Multiple choiceDriver of the injured vehicle1YesIf 1 in Q5 and 1 in Q1 is selected or 2 in Q5 and 2 in Q1 is selected or 5 in Q5 and 3 in Q1 is selected Go to Q6 else skip Q6.
Passenger/Co-passenger of the injured vehicle2
Driver of the counterpart vehicle3
Passenger/Co-passenger of the counterpart vehicle4
Pedestrian5
Unknown998
6Blood Alcohol level of the injuredNumeric Box
7Who used Mobile phone during accident?Multiple choiceDriver of the injured vehicle1Yes
Driver of the counterpart vehicle2
Pedestrian3
Unknown998
GPRE-HOSPITAL ADMISSION DATA
1What was the time duration taken for rescue efforts after the accident happened?Time Formathh:mmYes
2How was the injured person rescued?DropdownSelf1YesIf 997 is selected go to Q3 else skip Q3.
Known Person (Friends/Relatives)2
Driver/Passenger/Co-Passenger3
Local People/Passerby4
Police5
Army6
Disaster Response Force (State/National)7
Others997
Unknown998
3Specify how was the injured person rescuedText Box.
4What was the reason for delay in rescuing the injured person?DropdownNoticed Late1YesIf 997 is selected go to Q5 else skip Q5.
Late Information given to rescue team/Emergency transport2
Access difficulty (Difficult terrain or difficult to access site)3
Weather conditions4
Emergency Transport Vehicle arrived late5
Others997
Unknown998
Not applicable996
5Specify the reason for delay in rescuing the injured personText Box
6How was the injured person taken from the accident site to the transport vehicle?DropdownStretcher1Yes
Sheets2
Hold by 2–4 peoples3
Carried by people on their back4
Others997
Unknown998
Not applicable996
7Specify how was the injured person taken from the accident site to the transport vehicleText Box
8Was the injured person given first aid?DropdownYes1YesIf 1 go to Q9 or skip Q9, Q10, Q11 and Q12.
No2
Unknown998
9Where was the first aid given?DropdownAt the accident site1YesIf 997 go to Q10 else skip Q10.
Nearby Govt. Hospital2
Nearby Private clinic3
Ambulance4
Others997
Unknown998
10Specify where was the first aid givenText Box
11Who gave the first aid?DropdownHealth worker/Nurse1YesIf 2,3,4 is selected in Q9 disable options 4,5 and 6. If 997 go to Q12 else skip Q12
Ambulance technician2
Doctor3
Public4
Police5
Family members6
Others997
Unknown998
12Specify who gave the first aidText Box
13How was the injured person transported to health facility?DropdownSelf1YesIf 997 go to Q14 else skip Q14.
Government Ambulance2
Private Ambulance3
Commercial passenger vehicle4
Commercial goods vehicle5
Private vehicle6
Govt. Official vehicle7
Others997
Unknown998
14Specify how was the injured person transported to health facilityText Box
15Number of hospitals/health facilities visited before attending the registering hospitalNumeric BoxYesIf 0 skip Q16, Q 17, Q18, Q19, Q20, Q21, Q22 and Q23. If 1 Skip Q16 If >1 go to Q16.
16What was the first referral hospital?DropdownPrimary health care facility1
District Government Hospitals2
Other Government Hospitals3
Private hospitals4
Private nursing home5
Unknown998
17What was the Last referral hospital?DropdownPrimary health care facility1Yes
District Government Hospitals2
Other Government Hospitals3
Private hospitals4
Private nursing home5
Unknown998
18Last Referral hospital StateDropdownAll States in IndiaYes
19Last Referral hospital DistrictDropdownDistrict of selected stateYes
20Last Referral hospital TalukDropdownTaluk of Selected DistrictYes
21Last Referral hospital Village/Town/AreaText Box(GIS mapping-insert map)Yes
22Reason for shifting from the referral hospital?DropdownNot equipped for the treatment required1YesIf 997 go to Q23 else skip Q23.
Specialist doctors not available2
Bed not available3
Patient’s desire4
Others997
Unknown998
23Specify reason for shifting from the referral hospitalText Box
HAMBULACNE DETAILS (This section appears only if 1 or 2 is selected in Q12 of G section else skip)
1Whether ambulance details available?Radio buttonYes1YesIf 2 is selected skip rest questions in this section else go to Q2.
No2
2Date of the call received by ambulance personnel regarding the accident? (Date)Calendar Formatdd/mm/yyyyYes
3Time of the call received by ambulance personnel regarding the accident? (Time)Time Format (Scroll)hh:mm
4Date - ambulance reached the accident site? (Date)Calendar Formatdd/mm/yyyyYes
5Time-ambulance reached the accident site? (Time)Time Format (Scroll)hh:mm
6Date patient dropped at the hospital? (Date)Calendar Formatdd/mm/yyyyYes
7Time patient dropped at the hospital? (Time)Time Format (Scroll)hh:mm
8How was the patient managed in the transport vehicle during the transport from accident site to hospital?Multiple choiceCPR1If 997 go to Q9 else skip Q9.
Electrical defibrillation2
Maintained airway3
Bleeding controlled4
IV Fluid5
IV Blood6
IV / IM Drugs7
Positioning of the patient8
Others997
Not applicable996
9Specify how was the patient managed in the transport vehicleText Box
10Ambulance has the facility to record and monitorMultiple choicePulse rate1YesIf 994 or 998 skip rest questions. If 1, 2, 3, 4 and 5 is yes showQ11, Q12 and Q13, Q14, Q15 and Q16 respectivel y. For Options not selected hide the respective questions.
BP2
Respiratory Rate3
Oxygen Saturation4
GCS5
None994
Unknown998
11Ambulance pulse rateNumeric box1 (First)
Numeric box2 (Last)
12Ambulance Systolic Blood PressureNumeric box1 (First)
Numeric box2 (Last)
13Ambulance Diastolic Blood PressureNumeric box1 (First)
Numeric box2 (Last)
14Ambulance Respiratory RateNumeric box1 (First)
Numeric box2 (Last)
15Ambulance oxygen saturationNumeric box1 (First)
Numeric box2 (Last)
16Ambulance Glasgow Coma Scale (GCS)Numeric box1 (First)
Numeric box2 (Last)
ICLINICAL DETAILS (On the day of admission)
1What was status of injured at the time of admissionDropdownUnconscious1Yes
Conscious2
Unknown998
2Co morbidity LevelDropdownHealthy1
Non-Limiting2
Limiting3
Constant Threat to life4
Unknown998
Not documented999
3Pulse rateNumeric box
4Systolic BPNumeric box
5Diastolic BPNumeric box
6Respiratory rateNumeric box
7Oxygen SaturationNumeric box
8Glasgow Coma Scale (GCS)Numeric box
FORM II
JCLINICAL, TREATMENT AND OUTCOME DETAILS discharge/ death/ abscond / referral of the patient) (Follow up-to be submitted during
1User codeNumeric BoxJan-99Yes
2IRIS IDDropdown of the User code synced IRIS-IDYes
3 What are the parts of the body injured DropdownHead1
Neck2
Thorax3
Abdomen, lower back, lumbar spine and pelvis4
Shoulder and upper arm5
Elbow and forearm6
Wrist and hand7
Hip and thigh8
Knee and lower leg9
Ankle and foot10
Multiple body regions11
Injuries to unspecified part of trunk limb and body12
4 What was the nature of injuries sustained DropdownSuperficial injury1
Open wound2
Fracture3
Dislocation, sprain and strain4
Injury to nerves and spinal cord5
Injury to blood vessels6
Muscles and Tendons7
Crushing Injury8
Traumatic amputation9
Injury to internal organs10
Foreign body in natural orifice11
Burns and corrosions12
Other unspecified Injurie13
5Type of fractureRadio buttonOpen1
Closed2
6Describe the injuryText Box
7Injury classification as per ICD_10DropdownInclude only Chapter XIX up to Burns and corrosion, Certain early complications of trauma and Sequel of injuries. Cascade based on response from Q2 and Q5
8How is the severity of injuryDropdownMinor1
Moderate2
Serious3
Severe4
Critical5
Maximum (Untreatable)6
9Abbreviated injury Scale (AIS)DropdownAIS 2008 code set. Cased based on Q2, Q4, Q6 And Q7.
10FAST ResultDropdownDone-Positive1
Done-Negative2
Equivocal3
No Facility994
Not done996
Unknown998
Not recorded999
11What is the patient treatment status?DropdownFirst Aid Provided1YesIf 997 is selected go to Q12 else skip Q12
Stabilized2
Treated in emergency room3
Definitive care (Comprehensive care)4
LAMA5
Others997
12Specify Treatment statusText Box
13What is the Patient admission status?Referred1YesIf 1 is selected show questions 17 to 26 or skip questions 20 to 26. If 2 is selected skip questions 20 to 26. If 3 is selected show questions 17, 18 and 19 and skip rest of the questions
In hospital care (Shifted to IP/Remains admitted)2
Abscond/Left3
14What was the time taken to initiate treatment? (Time between admission and first aid/ stabilization/ treatment/ to declare brought dead based on options selected in Q18)Date pickDate format
Time pickTime format
15Reason for delay in treatment?DropdownDelay to get investigation results1If 997 is selected go to Q16 else skip Q16
Doctors not available2
Delay in blood availability3
Others997
Not applicable996
16Specify, reason for delay in treatmentText box
17OutcomeDropdownAlive1If 2 is selected show Q27, show Q27, 28 and 29 and skip rest of the questions If 1 is selected Show Q18, 19 and skip rest of the questions
Dead2
18Date of dischargeCalendar Formatdd/mm/yyyy
19Discharge summaryText Box
20What is the centre referred?TextPrimary health care facility1Yes
District Government Hospitals2
Other Government Hospitals3
Private hospitals4
Private nursing home5
Unknown998
21What was mode of transport for shifting the patient to higher centre?DropdownGovernment Ambulance1YesIf 997 is selected go to Q22 else skip Q22
Private Ambulance2
Private vehicle3
Others997
Unknown998
22Specify mode of transport for shifting patientText Box
23Date of referralCalendar Formatdd/mm/yyyYes
24Time of referralTime Formathh:mm
25Reason for referralDropdownNot equipped for the treatment required1YesIf 997 is selected go to Q26 else skip Q26
Specialist doctors not available2
Bed not available3
Patient’s desire4
Others997
Unknown998
26Specify reason for referralText Box
27Date of deathCalendar Formatdd/mm/yyyyYes
28Time of deathTime formatHh:mmYes
29Cause of deathText Box

Community-based road accident recording form-Informant (individual)

Q. No.QuestionData entry ruleValues AssignedReqRangeSkip Pattern
AIDENTIFICATION
1Centre CodeDropdownChennaiChitoorJaipurDelhiTehri Garhwal12345Yes
2Serial numberNumeric BoxYes0001–9999
3User codeNumeric BoxYes01–99
4IRIS IDAuto-generated. Should not allow entering or editing the field.Will constitute the Centre code, Hospital code, User code and Serial No. For e.g. IRIS:ID:11010005 means case belongs to Chennai, Public hospital and 1st user and is in the fifth case in serial orderYes“Auto generated field” appears if we try to enter.
5Informant NameText BoxYes
6Age of InjuredRadio button (Text box is enabled based on Q1. If 1 is selected Text box1and unknown is enabled, If 2 is selected Text box2 and unknown is enabled)< 1year (In Months) – Text box1 >1 year (In Years) – Text box2 Unknown998YesIn months-0 to 12 In years-1 to 150 998B01_AgeYrs is greater than or equal to 5 show question on education, occupation
7Gender of InjuredDropdownMaleFemale Transgender123Yes
8Educational status of the InjuredDropdownIlliteratePrimaryHigh SchoolHigher SecondaryDiploma/Certified courseGraduate and aboveUnknown123456998Yes
9Occupation of the InjuredDropdownBusinessSelf Employed/Medium BusinessProfessional/Executive/ManagersEmployee (Govt./Private)Skilled Manual (Artisians, Agriculture, Fishery, Forestry)Unskilled Manual (Labour)Home makerStudentUnemployedOthersUnknown12345678910997998YesIf 997 go to Q6, or Skip Q6.
10Specify Occupation of the injuredText Box
11OutcomeDropdownAliveDead12
12Type of area where data is collectedRadio ButtonUrbanRuralPeri/sub urbanUnknown1234Yes
13Date of Data CollectionDate formatdd/mm/yyyyYes
BACCIDENT DETAILS
1Date of accidentDate formatdd/mm/yyyyYes
2Time of accidentTime formathh:mmYes
3Place of accident
4What is the type of accident?DropdownSelf-fall/SkidCrash with pedestrianCrash with parked vehicleCrash with fixed obstacleCrash with non-fixed obstacleCrash between two vehiclesCrash with two or more vehiclesCrash with animalOthersUnknown12345678997998YesIf 97 go to Q9, or Skip Q9. If 2 is selected show Q8 or skip Q8.
5Specify Type of AccidentText Box
6Number of fatalitiesNumeric BoxYes0–200, 998
7Number of persons hospitalizedNumeric BoxYes0–200, 998
8Number of pedestrians involvedNumeric BoxYes1–100, 998
9Number of vehicles involvedNumeric BoxYes1–5, 998
10Type of vehicle involvedMultiple choiceBicycle/Cycle rickshawBullock cartTwo wheeler gearedTwo wheeler non-gearedAuto rickshawCarTempo traveler/Van/City rideBus/Mini BusTrucks/TractorsLorryOthersUnknown12345678910997998YesIf 97 is selected go to Q11 or Skip Q11.
11Specify type of vehicle
  17 in total

1.  Urban-rural differences in prehospital care of major trauma.

Authors:  D C Grossman; A Kim; S C Macdonald; P Klein; M K Copass; R V Maier
Journal:  J Trauma       Date:  1997-04

2.  Iranian road traffic injury project: assessment of road traffic injuries in Iran in 2012.

Authors:  Ali Khorshidi; Elaheh Ainy; Hamid Soori; Mohammad Mahdi Sabbagh
Journal:  J Pak Med Assoc       Date:  2016-05       Impact factor: 0.781

3.  Average out-of-pocket healthcare and work-loss costs of traffic injuries in Karachi, Pakistan.

Authors:  Junaid A Razzak; Junaid A Bhatti; Maria Ali; Uzma R Khan; Rashid Jooma
Journal:  Int J Inj Contr Saf Promot       Date:  2011-05-24

Review 4.  The cost of injury and trauma care in low- and middle-income countries: a review of economic evidence.

Authors:  Hadley K H Wesson; Nonkululeko Boikhutso; Abdulgafoor M Bachani; Karen J Hofman; Adnan A Hyder
Journal:  Health Policy Plan       Date:  2013-10-04       Impact factor: 3.344

Review 5.  Road traffic deaths, injuries and disabilities in India: current scenario.

Authors:  G Gururaj
Journal:  Natl Med J India       Date:  2008 Jan-Feb       Impact factor: 0.537

6.  Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.

Authors: 
Journal:  Lancet       Date:  2016-10-08       Impact factor: 79.321

7.  A successful model of Road Traffic Injury surveillance in a developing country: process and lessons learnt.

Authors:  Junaid Abdul Razzak; Muhammad Shahzad Shamim; Amber Mehmood; Syed Ameer Hussain; Mir Shabbar Ali; Rashid Jooma
Journal:  BMC Public Health       Date:  2012-05-16       Impact factor: 3.295

8.  Projections of global mortality and burden of disease from 2002 to 2030.

Authors:  Colin D Mathers; Dejan Loncar
Journal:  PLoS Med       Date:  2006-11       Impact factor: 11.069

9.  Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Christopher J L Murray; Theo Vos; Rafael Lozano; Mohsen Naghavi; Abraham D Flaxman; Catherine Michaud; Majid Ezzati; Kenji Shibuya; Joshua A Salomon; Safa Abdalla; Victor Aboyans; Jerry Abraham; Ilana Ackerman; Rakesh Aggarwal; Stephanie Y Ahn; Mohammed K Ali; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Adil N Bahalim; Suzanne Barker-Collo; Lope H Barrero; David H Bartels; Maria-Gloria Basáñez; Amanda Baxter; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Eduardo Bernabé; Kavi Bhalla; Bishal Bhandari; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; James A Black; Hannah Blencowe; Jed D Blore; Fiona Blyth; Ian Bolliger; Audrey Bonaventure; Soufiane Boufous; Rupert Bourne; Michel Boussinesq; Tasanee Braithwaite; Carol Brayne; Lisa Bridgett; Simon Brooker; Peter Brooks; Traolach S Brugha; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Geoffrey Buckle; Christine M Budke; Michael Burch; Peter Burney; Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Diego Gonzalez-Medina; Richard Gosselin; Rebecca Grainger; Bridget Grant; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Francine Laden; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Daphna Levinson; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Charles Mock; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Natasha Wiebe; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

10.  Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Rafael Lozano; Mohsen Naghavi; Kyle Foreman; Stephen Lim; Kenji Shibuya; Victor Aboyans; Jerry Abraham; Timothy Adair; Rakesh Aggarwal; Stephanie Y Ahn; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Suzanne Barker-Collo; David H Bartels; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Kavi Bhalla; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; Fiona Blyth; Ian Bolliger; Soufiane Boufous; Chiara Bucello; Michael Burch; Peter Burney; Jonathan Carapetis; Honglei Chen; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Nabila Dahodwala; Diego De Leo; Louisa Degenhardt; Allyne Delossantos; Julie Denenberg; Don C Des Jarlais; Samath D Dharmaratne; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Patricia J Erwin; Patricia Espindola; Majid Ezzati; Valery Feigin; Abraham D Flaxman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Sherine E Gabriel; Emmanuela Gakidou; Flavio Gaspari; Richard F Gillum; Diego Gonzalez-Medina; Yara A Halasa; Diana Haring; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Bruno Hoen; Peter J Hotez; Damian Hoy; Kathryn H Jacobsen; Spencer L James; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Ganesan Karthikeyan; Nicholas Kassebaum; Andre Keren; Jon-Paul Khoo; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Michael Lipnick; Steven E Lipshultz; Summer Lockett Ohno; Jacqueline Mabweijano; Michael F MacIntyre; Leslie Mallinger; Lyn March; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; John McGrath; George A Mensah; Tony R Merriman; Catherine Michaud; Matthew Miller; Ted R Miller; Charles Mock; Ana Olga Mocumbi; Ali A Mokdad; Andrew Moran; Kim Mulholland; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Kiumarss Nasseri; Paul Norman; Martin O'Donnell; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; David Phillips; Kelsey Pierce; C Arden Pope; Esteban Porrini; Farshad Pourmalek; Murugesan Raju; Dharani Ranganathan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Frederick P Rivara; Thomas Roberts; Felipe Rodriguez De León; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Joshua A Salomon; Uchechukwu Sampson; Ella Sanman; David C Schwebel; Maria Segui-Gomez; Donald S Shepard; David Singh; Jessica Singleton; Karen Sliwa; Emma Smith; Andrew Steer; Jennifer A Taylor; Bernadette Thomas; Imad M Tleyjeh; Jeffrey A Towbin; Thomas Truelsen; Eduardo A Undurraga; N Venketasubramanian; Lakshmi Vijayakumar; Theo Vos; Gregory R Wagner; Mengru Wang; Wenzhi Wang; Kerrianne Watt; Martin A Weinstock; Robert Weintraub; James D Wilkinson; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Paul Yip; Azadeh Zabetian; Zhi-Jie Zheng; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

View more
  2 in total

1.  Evaluation of first information reports of Delhi police for injury surveillance: Data extraction tool development & validation.

Authors:  Sajjan Singh Yadav; Phil Edwards; John Porter
Journal:  Indian J Med Res       Date:  2020-10       Impact factor: 2.375

2.  Can ACL Tears be Restricted to Sports Injuries Alone? A Retrospective Analysis.

Authors:  Shuaib Ahmed; Munis Ashraf; Santosh Sahanand; David V Rajan
Journal:  Indian J Orthop       Date:  2021-03-15       Impact factor: 1.251

  2 in total

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