Challenges of establishing a road traffic injury surveillance system: a qualitative study in a middle-income country

Assessing the global data availability and characteristics of eight risk factors for road traffic injury: an evaluation study across 194 countries/territories, 2000-2019

Background

Freely accessible data concerning modifiable risk factors for road traffic injury are critical for research and for evidence-based policymaking. This study investigated free-access availability and the major characteristics of nationally representative data on eight major risk factors for road traffic injury across 194 World Health Organization member countries/territories from 2000 to 2019.

Methods

We systematically searched and reviewed data sources from governmental departments, multi-country road safety research projects, and international organisations. Two researchers independently searched, screened, and extracted data. We assessed free-access availability of data for eight risk factors based on the presence of data from 2000 to 2019. Major data characteristics were evaluated for all included data sources, consisting of operational definitions, method of data collection, and sampling method.

Results

We identified 79 sources providing free-access available data on at least one of the eight risk factors. During 2000-2019, the number of countries/territories with freely-access data generally rose over time. However, only 134 of 194 countries/territories (69%) had at least one year of free-access data involving one or more risk factors, and 70% of those 134 countries/territories were high-income or upper middle-income countries. Large data heterogeneity existed across the data sources in terms of operational definitions used, method of data collection, years of data coverage, and sampling method. Operational definitions varied widely across the eight risk factors, ranging from 3 definitions used for fatigue driving to 17 definitions for seatbelts; and the proportion of data sources that adopted the recommended Global Road Safety Partnership (GRSP) definitions ranged from 25.5% for distracted driving to 77.8% for child restraint systems. Roadside observations were predominantly used to collect exposure data for six risk factors. Many free-access data sets were completely or partially based on non-probability sampling, and the sampling information was unknown for some additional data sources.

Conclusions

Availability of free-access data on road traffic injury risks generally improved globally, but was still absent for 60 countries/territories. The substantial heterogeneity of free-access data across the existing data sources warrants further research efforts and international coordination.

Emergency department-based injury surveillance information system: a conceptual model

BACKGROUND

Injury data play a pivotal role in monitoring public health issues and Injury Surveillance Information Systems (ISIS) are useful for continuous data collection and analysis purposes. Since emergency department (ED) is usually the first place of referral for the injured people, the aim of this study was to develop a conceptual model for an ED-based ISIS.

METHODS

This study was completed in 2020 and the Delphi technique (three rounds) was used to determine the main components of an ED-based ISIS. The participants were selected using the purposive sampling method. A 5-point Likert scale questionnaire was used for data collection and data were analyzed using descriptive statistics.

RESULTS

In the first, second, and third rounds of the Delphi study, 60, 44, and 28 experts participated, respectively. In the first and second rounds, most of the items including the personal data, clinical data, data sources, and system functions were found important. In the third round of the Delphi study, 13 items which did not reach a consensus in the previous rounds were questioned again and five items were removed from the final model.

CONCLUSION

According to the findings, various data elements and functions could be considered for designing an ED-based ISIS and a number of data sources should be taken into count to be integrated with this system. Although the conceptual model presented in the present study can facilitate designing the actual system, the final system needs to be implemented and used in practice to determine how it can meet users' requirements.

A model for Vision Zero implementation in Iran: a grounded theory study

BACKGROUND

Road Traffic injuries (RTIs) are major global health issues, but they have been neglected. RTIs are multi-faceted in nature and, like many injuries, are costly but preventable. Iran has one of the highest rates of deaths due to traffic accidents among middle-income countries. Hence, there is a need for effective and preventive approaches in road safety management. One of the new approaches to road safety is the Vision Zero. The aim of this study was to design a Vision Zero implementation model in Iran.

METHODS

This present study was conducted using the qualitative grounded theory approach. Purposive, snowball and maximum variety sampling were used to select participants. In-depth interviews were used to collect data. Grounded theory method was used to analyze the data using Corbin and Strauss method.

RESULTS

In this study, 19 interviews were conducted with 17 participants. Based on data analysis, a total of 4 main categories and 13 subcategories were obtained. According to the participants, the lead agency was recognized as the core category. Other concepts were categorized as causal conditions, intervening conditions, contextual conditions, action/interaction strategies, and consequences.

CONCLUSIONS

Establishing a lead agency with inter-organizational coordination through political support and legislation and changing the approach of road safety can be effective in implementing a Vision Zero. Also, improving the safety attitude of the stakeholders and changing their approach through training and advocacy from various organizations related to road safety is effective in creating a lead agency and implementing a vision zero. In addition, in order to implementation of the model, it is very important to pay attention to the economic, political and ethical underlying factors towards human beings.

A model to explain road traffic data collection and registry in Iran: a grounded theory

Background:

Sufficient data should be gathered and analyzed to increase awareness and attention of the community and policymakers in the field of road traffic injury (RTI) prevention. While various organizations and stakeholders are involved in road traffic crashes, there is no clear lead agency for data collection system in RTIs. Exploring stakeholders' perspective is one of the key sources for understanding this system. The purpose of this study is to identify the process of RTI data collection system based on stakeholders’ experience.

Methods:

This qualitative study was conducted employing grounded theory approach since September 2017 to December 2018 in Iran. Participants in this study were the authorities of the Emergency organizations, police, Ministry of Health and Medical Education, faculty members, as well as executive staff and road users who were involved in collecting and recording data (n=15). Data collection was carried out through face-to-face interviews using purposeful and theoretical sampling. Data analysis was performed based on Strauss and Corbin 2008.

Results:

The core category was identified as “separated registration” explaining the process of collecting and recording road traffic injury data. Other variables obtained using the Strauss and Corbin Paradigm model were categorized as context, casual, intervening, strategies, and outcomes factors. The findings were classified into five groups including lack of trust in road safety promotion, process factors, management and organizational factors, failure of quality assurance, and administrative and organizational culture.

Conclusions:

The most important theory is “separated registration” and non-systematic registry system of road traffic injury data which is shown in a conceptual model. The findings of this study will help policymakers for better understanding the collecting and recording of RTI information.

Developing a National Integrated Road Traffic Injury Registry System: A Conceptual Model for a Multidisciplinary Setting

Introduction

Despite a high burden of traffic injuries, effective integrated or linked injury surveillance systems are rarely available in many low- and middle-income countries (LMICs). The aim of the current study was to define a conceptual model for developing a national integrated traffic injury registry in Iran.

Methods

A mult-method study financially and technically supported by the World Health Organization, Iranian Ministry of Health, Iranian Traffic Police, and the Iranian Legal Medicine Organization was conducted. A theoretical framework, forming the core conceptual components, was developed based on expert reviews. The preliminary conceptual model was developed by a panel of experts and tailored through a national workshop of 50 scientists, authorities and experts from nearly all sectors related to road safety promotion and injury management. It was then sent out to external reviewers in order to assess and improve the content validity of the model.

Results

The conceptual model was developed to have six components. These included 1) aims and core definitions; 2) content and core measurements; 3) data flow; 4) data collection routines; 5) organizational matrix; 6) implementation organization. The Haddon's matrix was adapted to be used as the theoretical framework in defining the content and data flow components of IRTIR. Five subcomponents were defined in the content and core measurements component with each having several subcategories. Each subcomponent/subcategory was finally divided into several item groups to guide defining the final data measurement variables. The data flow component was defined with six data sequence stations. Through the organizational matrix component, five major organizations relevant to road traffic safety were defined as core data production contributors. Some organizations also owned several sub-organizations which contributed in this regard.

Conclusion

It is concluded that the IRTIR conceptual model includes the required six components for developing a national integrated registry for Iran. Its main component called, content and core measurements, leads the researchers in developing final data collection tools in developing the national registry of road traffic injuries in Iran.