Assessing Quality of Existing Data Sources on Road Traffic Injuries (RTIs) and Their Utility in Informing Injury Prevention in the Western Cape Province, South Africa

Chokotho, Linda; Matzopoulos, Richard; Myers, Jonny

doi:10.1080/15389588.2012.706760

Cited by 32 publications

(24 citation statements)

References 14 publications

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“…In our study, more road deaths were reported by the police (72 deaths, 42% ascertainment) compared to the hospital (25 deaths, 14% ascertainment). The estimates we have reported are similar to what Chokotho et al reported in 2011 in South Africa[10], and what Razzak et al reported in 1998 in Pakistan[27], where the authors reported 50.6% and 56.7% rates of under-reporting of road deaths respectively.Furthermore,, our estimates correspond closely to the 2018 Global Status Report on Road Safety which, using binomial regression models, estimated an 80% underreporting of road deaths in Malawi, considering the o cial reported 1122 deaths in 2016 and the estimated total of 5601 road deaths in the same year[3]. In…”

supporting

confidence: 91%

“…The small number of matches could lead to a much larger road trauma burden estimated for the district, such that when compared with the reported cases, the ascertainment of each database would be highly diluted. Chokotho et al (2011) refer to other factors that could contribute to the reduced level of completeness of road death data, including misclassi cation of road deaths by health services, especially deaths that occur a considerable time after the road crash [10].…”

Section: Data Quality Assessmentmentioning

confidence: 99%

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Quality of Road Trauma Data in Malawi: The Case of Road Trauma Surveillance in Ntcheu District, Malawi.

Manyozo¹,

Sichembe²,

Moodie³

2020

Preprint

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Background Road trauma represents a major but neglected public health challenge in Malawi that requires concerted efforts for effective and sustainable prevention. In order to make the road traffic system safer, it is important to develop an understanding of the whole system and its elements including vehicles, roads and road-users along with their physical, social and environmental circumstances. In this study, we measured data quality in terms of database and variable completeness of road trauma case reports to determine if the data are sufficient for informing, monitoring and evaluating road safety interventions. Methods This was a quantitative retrospective study based in Ntcheu district, Malawi. Data were collected for year 2018 from both police and hospital sources. Categorical data exploration from these two sources was done using frequency distribution tables. Continuous data were summarized using means and standard deviation. Data source completeness was assessed using the capture–recapture methodology, while variable completeness was assessed using a checklist developed from the World Health Organization’s minimum injury surveillance core data set. Results The hospital data source was incomplete in areas of road user type, time of injury, mechanism of injury and place of injury. Thirteen case matches were identified between the two databases. Using the capture-recapture methods, the estimated road trauma events in Ntcheu district for the year 2018 is 954 (95% CI: 457, 1451) and an estimated 173 deaths (95% CI: 89, 257) in the same year. These estimates indicate 11% and 14% ascertainment of fatalities for the police and hospital data sources respectively.Discussion and conclusion There is significant underreporting for road deaths and injuries in Ntcheu district, which means there are critical data quality challenges in the respective data sources. It is therefore imperative for the road safety agencies and partners to resolve these data reporting and acquisition challenges.

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supporting

confidence: 91%

Section: Data Quality Assessmentmentioning

confidence: 99%

Quality of Road Trauma Data in Malawi: The Case of Road Trauma Surveillance in Ntcheu District, Malawi.

Manyozo¹,

Sichembe²,

Moodie³

2020

Preprint

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“…A previous South African national study of the burden of injury-related mortality used triangulation and modelling techniques 2 to overcome deficiencies in vital registration data and national statistics, such as underreporting 3 , 4 and the urban bias of national injury mortality surveillance. 5 , 6 These surveillance data are no longer suitable for burden of disease modelling.…”

Section: Introductionmentioning

confidence: 99%

Injury-related mortality in South Africa: a retrospective descriptive study of postmortem investigations

Matzopoulos

Prinsloo

Wyk

et al. 2015

Bull. World Health Organ.

109

106

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ObjectiveTo investigate injury-related mortality in South Africa using a nationally representative sample and compare the results with previous estimates.MethodsWe conducted a retrospective descriptive study of medico-legal postmortem investigation data from mortuaries using a multistage random sample, stratified by urban and non-urban areas and mortuary size. We calculated age-specific and age-standardized mortality rates for external causes of death.FindingsPostmortem reports revealed 52 493 injury-related deaths in 2009 (95% confidence interval, CI: 46 930–58 057). Almost half (25 499) were intentionally inflicted. Age-standardized mortality rates per 100 000 population were as follows: all injuries: 109.0 (95% CI: 97.1–121.0); homicide 38.4 (95% CI: 33.8–43.0; suicide 13.4 (95% CI: 11.6–15.2) and road-traffic injury 36.1 (95% CI: 30.9–41.3). Using postmortem reports, we found more than three times as many deaths from homicide and road-traffic injury than had been recorded by vital registration for this period. The homicide rate was similar to the estimate for South Africa from a global analysis, but road-traffic and suicide rates were almost fourfold higher.ConclusionThis is the first nationally representative sample of injury-related mortality in South Africa. It provides more accurate estimates and cause-specific profiles that are not available from other sources.

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“…Discrepancy in Malaysian accident data has been highlighted in previous research [2]. Other low and middle-income or developing countries also experience similar problems related to their accident data such as China [3], South Africa [4] and Saudi Arabia [5]. Accumulation of errors in the accident data starts with the incorrect or incomplete filling of an ARF.…”

Section: Introductionmentioning

confidence: 75%

The Effect of Type of Attributes on the Fill-Ability of Accident Reporting Forms (ARF)

Ahmed¹,

Ahmad²,

Sadullah³

et al. 2020

(JTTM)

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Accident Reporting Form (ARF) is the basic building block of an Accident Database. Incorrect and incomplete forms result into the formation of erroneous database which contains partial or no essential information required for the statistical analysis of accident data. Policies made on the basis of the results of such databases will have little or no effect on the improvement of safety of roadway facilities. In most countries filling of the ARF is the responsibility of Police/Investigating officers. Due to lack of interest, all the details are not recorded by them. Thus, it is very important to investigate the type of attributes and their respective items filled most. The objective of this study is to evaluate the attributes given most importance by the person in charge of filling the ARF and the items most neglected. The probable reasons for the complete/incomplete recording of the details of certain items were also examined. For this study a total of 642 forms were obtained from the Malaysian Institute of Road Safety Research (MIROS) for evaluation. Each form contained 91 attributes, as per number given in the accident reporting form known as POL 27. The items were divided with respect to driver, passenger, vehicle, pedestrian, location, road environment, road information and additional information. The fill-ability for each item was estimated in terms of percent filled. The items were evaluated in terms of least and most filled and the probable reason for the complete/incomplete filling of each item was then investigated. It was found that items related to location were most neglected. The second most incomplete items were associated with the vehicle and the driver. While the attributes related to the road and the environment were found to be the most filled. The probable reason for lack of fill-ability of location related items was their placement in inappropriate sections. The important finding of this study is the high number of items in the POL 27 which makes it difficult for the officer to fill the form completely and is the major cause of reduced fill-ability.

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Assessing Quality of Existing Data Sources on Road Traffic Injuries (RTIs) and Their Utility in Informing Injury Prevention in the Western Cape Province, South Africa

Cited by 32 publications

References 14 publications

Quality of Road Trauma Data in Malawi: The Case of Road Trauma Surveillance in Ntcheu District, Malawi.

Quality of Road Trauma Data in Malawi: The Case of Road Trauma Surveillance in Ntcheu District, Malawi.

Injury-related mortality in South Africa: a retrospective descriptive study of postmortem investigations

The Effect of Type of Attributes on the Fill-Ability of Accident Reporting Forms (ARF)

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