Abstract
Objective
This systematic review aims to explore and synthesise existing literature on the direct and indirect costs from road traffic injuries (RTIs) in sub-Saharan Africa (SSA), the quality of existing evidence, methods used to estimate and report these costs, and the factors that drive the costs.
Methodology
MEDLINE, SCOPUS, ProQuest Central, Web of Science, Global Index Medicus, Embase, World Bank Group e-Library, Econlit, Google Scholar and WHO webpages were searched for relevant literature. References of selected papers were also examined for related articles. Screening was done following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Articles were included in this review if they were published by March 2019, written in English, conducted in SSA and reported original findings on the cost of illness or economic burden of RTIs. The results were systematically examined, and the quality assessed by two reviewers using a modified Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist.
Results
Eleven studies met the inclusion criteria. RTIs can cost between INT$119 and 178 634 per injury and INT$486 and 12 845 per hospitalisation. Findings show variability in costing methods and inadequacies in the quality of existing evidence. Prolonged hospital stays, surgical sundries and severity of injury were the most common factors associated with cost.
Conclusion
While available data are limited, evidence shows that the economic burden of RTIs in SSA is high. Poor quality of existing evidence and heterogeneity in costing methods limit the generalisability of costs reported.
Keywords: health economics, orthopaedic & trauma surgery, public health
Strengths and limitations of this study.
The information presented in this study fills the gap in the existing literature surrounding the economic burden of road traffic injuries in sub-Saharan Africa.
This study used a universally acceptable and best practise tool (the Consolidated Health Economic Evaluation Reporting Standards checklist) to assess the quality of reporting done by the reviewed studies.
Due to the heterogeneity of the cost components, lack of transparency in resource estimation, variability in unit costs and costing methods, it is difficult to comparatively analyse the results of the review.
Introduction
According to the 2016 global burden of disease estimates, road traffic injuries (RTIs) are the eighth leading cause of death across all ages and the number one cause of death among children and young adults aged 5–29 years, ranking above infectious diseases such as malaria and tuberculosis.1 2 Without action, it is projected that by 2030, RTIs will be the fifth leading cause of death worldwide.3
Despite being targeted in the global sustainable development goals, as at 2016, the RTI mortality rate globally has remained constant at about 18 per 100 000 population with a steady increase in absolute numbers; more than 1.3 million deaths, and around 20–50 million injuries each year.1 4 More than 90% of this RTI burden is borne by low-income and middle-income countries (LMICs) in sub-Saharan Africa (SSA) and South-East Asia.5 The RTI mortality rate in Africa (26.6 per 100 000) is the highest globally and thrice as high compared with Europe.1 While data on the burden of RTIs and disabilities in SSA are limited (most data on burden are modelled rather than based on direct observation), estimates suggest that Africa accounts for 3% of total healthy life lost and makes up 21.6% of the disability adjusted life years lost due to RTIs.2 Hence, RTIs have been described as the ‘third burden of disease in SSA’.6 The death toll of RTIs in SSA has increased by more than 80% over the last three decades and is projected to increase by 80% or more in 2020 if action is not taken.7
However, the financial burden that individuals, their families, employers and societies bear as a consequence of RTIs in SSA is under-reported.8 9 In many countries in SSA, insurance and social protection schemes are not widely available, so expenses are borne by victims and their families.10 11 Thus, RTI victims and their families can become impoverished or experience debts or catastrophic health expenditure due to direct medical costs of accessing care and income loss because of the injury and care access.12 13 These losses negatively impact the economy and national development. Globally, countries lose between 1% and 3% (estimated at more than US$500bn) of their gross domestic product (GDP) to RTIs every year.14 The economic consequences are estimated to be worse for SSA, where many countries have developing economies and underdeveloped health systems. GDP loss as a result of RTIs in Africa is between 0.8% and 9%.15 For some countries, this loss is more than the total aid they receive per year.5 16
Data on the epidemiology of RTIs in SSA are lacking compared with high-income countries, but accurate information on costs attributed to RTIs in SSA is even more scarce.17 To prioritise and implement cost-effective interventions for road safety that prevent RTIs, the economic burden of RTIs and its impact on the national economy should be understood.1 This study aims to understand the economic burden of RTIs in SSA. It examines existing literature on the costs associated with RTIs in SSA with the specific objectives of: (1) reviewing the direct and indirect costs of RTIs, (2) assessing the quality of existing evidence and the methods used to estimate and report costs of RTIs and (3) identifying the drivers of the cost reported.
Methods
Search strategy
Search terms used are shown in detail in online supplemental file 1. All countries in SSA (SSA was defined as 48 countries per the World Bank18) were included individually in the search strategy to maximise the results.
bmjopen-2020-048231supp001.pdf (83.7KB, pdf)
Combinations and adaptations of the search terms were used in independent searches in the following databases: MEDLINE, SCOPUS, ProQuest Central, Web of Science, Global Index Medicus, Embase, World Bank Group e-Library and Econlit. A hand search was employed to source grey literature and unindexed data in Google scholar and WHO webpages. All results were returned for these searches.
Inclusion and exclusion criteria
Studies were included in this review based on the following criteria: written in English, related to SSA and report original findings on the cost of illness or economic burden of RTIs using primary or secondary data, regardless of the anatomic location or mechanism of the injury. The literature search was conducted in March and April 2019, and this review included all studies published before 1 March 2019.
Articles were excluded if they were poster and conference abstracts, without cost or cost analysis, reported general trauma instead of RTIs, reported costs of road safety interventions and without available full texts. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.19 20 The selection and screening process of the articles using the PRISMA guidelines is shown in figure 1.
Figure 1.
Flow chart illustrating the study selection process using PRISMA guidelines. PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; RTIs, road traffic injuries, *There were two studies with same author using same unit costs, one applied at province and one at the national level. Hence, one of the studies was excluded.
Data extraction and quality assessment
Following screening and retrieval of articles for review, relevant data were obtained using a tailored extraction tool, created from existing guidelines for economic evaluation and similar tools from peer-reviewed articles.21–23 The screening was done initially based on the titles, then the abstracts and references of the chosen text, and finally, the full texts were screened for eligibility. General characteristics such as country and year of study, study design, whether primary or secondary data were utilised and economic features such as type of cost (direct or indirect) reported, time horizon, the perspective of the analysis, costing methods and the factors that drive these costs were extracted from the articles and tabulated. Perspectives were described as societal (if they included all direct and indirect costs taking into consideration every member of a society), patient (if they included out-of-pocket medical and non-medical expenditures and loss of wages), provider (if they estimated cost of delivery of care at the care facility and services were provided to the patients free of charge) or mixed if they took more than one perspective. Drivers of costs are presented as reported in the studies. For studies that did not explicitly state the drivers of the cost, elements that identified or reported to increase expenditure were presumed to be drivers.
Several checklists have been widely used to assess the quality of methods and reporting of economic evaluations. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist is widely used and sometimes modified for use in cost of illness studies.24 This study used a modified version of the CHEERS checklist, similar to a version used by Rinaldi, Hijazi and Haghparast-Bidgoli in their partial economic evaluation.25 The modified checklist (online supplemental file 2) consists of 16 elements, designed to assess the quality of reporting of partial economic evaluation and cost of illness studies. Items on the checklist were scored ‘yes’ if they met the criteria, ‘partly’ if they only met the criteria partially or ‘no’ if they did not meet the criteria. Two reviewers (MFDR-C and GR) independently extracted data from the included studies and reviewed the quality of the studies; any disagreement was resolved by a third reviewer (HH-B).
bmjopen-2020-048231supp002.pdf (73.9KB, pdf)
Analytic framework
Costs were adjusted to account for inflation (in local currencies) using Consumer Price Index data for each country,26 and then converted to 2018 International Dollars (INT$).
Where stated, the costing year was used as a baseline to account for inflation; if costing year was not reported, the year of publication was used. For studies conducted over a period involving more than 1 year, the year in which the study ended was taken to be the costing year. Where costs were presented in US$ and the exchange rate for the study period was given, this rate was used to reconvert the cost to local currency (LCU). If the exchange rate was not given, the historic official exchange rate27 for the costing year was used.
The 2018 World Bank Purchasing Power Parity GDP per capita conversion factor for the respective countries28 was used to convert the inflated LCU costs to INT$.
Cost estimates/evaluations
The economic burden of RTIs was determined using the costs from the individual studies. These costs were categorised as direct medical costs, direct non-medical costs, and indirect costs.
Direct costs include all costs incurred from the use of healthcare services.29 For this review, we used Drummond et al definition of direct medical and non-medical costs.30 Costs resulting from visits to the accident and emergency department, inpatient stays, outpatient visits, radiological and laboratory investigations, surgical procedures and implants, medicines, wound care and specialist care and consultation were considered as direct medical costs. Direct non-medical costs were those resulting from the cost of transportation to receive care, administrative costs (such as cost related to police investigations), cost of insurance, costs incurred by family members while they support the injured patient, medicolegal costs and funeral costs.
Indirect costs covered productivity losses, intangibles (pain, grief and suffering) and mortality resulting from the injury.29 30 The type of cost analysed, and the average unit costs presented in each study were extracted and tabulated.
The average unit costs are shown as reported in the original studies, per injury and hospitalisation. For studies that reported only total cost without unit costs, the average cost per patient was estimated by dividing the total cost by the sample size. For this study, cost per injury and cost per (injured) patient are the same.
Patient and public involvement
Since this study is a systematic review of academic literature, there is no direct patient and public engagement in process of conducting this study.
Results
The initial search from all sources (databases and grey literature) yielded 872 results. After removing duplicates, 623 articles were screened through the various stages (figure 1). In the title and abstract screening stages, articles that were systematic reviews, conference abstracts, policy papers, those that reported overall trauma burden (not specifically RTIs) or without cost analysis, and those that did not directly relate to the themes of this were excluded. Articles that could not be excluded based on the abstract and titles were included for full-text reviews. The full texts of 38 articles were reviewed, and 12 studies met the inclusion criteria. Twenty-six articles that did not have cost analysis or reported the cost of road safety interventions or the costs of general trauma, and those whose full texts were unavailable were excluded. One of the studies that met the inclusion criteria was excluded because the exact unit costs were applied for two studies in the same country, one applied at provincial and the other at a national level.31
General characteristics of the studies
A summary characteristic of the reviewed studies is shown in table 1. The results highlighted an apparent disproportion in the spread of RTI-cost research across SSA regions. Of the 11 studies, five were done in West, three in Southern, two in Central and one in East Africa. Only six of the 48 SSA countries were represented in these studies: Nigeria (4), South Africa (3), Rwanda (1), Cameroon (1), Ghana (1) and Kenya (1).
Table 1.
Summary characteristics of the reviewed studies
Author(s), year of publication | Year of costing | Study location (country) | Study setting | Study sample | Study design | Time horizon | Sensitivity analysis |
Perspective studied | Data collection methods |
Sangowawa et al, 201110 | 2006 | Nigeria | Urban and Rural | 44 | Retrospective cross-sectional survey | 12 months | No | Societal* | Primary |
Agbor et al, 201432 | 2012 | Cameroon | Urban | 387 | Prospective and retrospective† | 9 months | No | Patient* | Primary and secondary |
Kudebong et al, 201133 | 2009 | Ghana | Rural | 556 | Retrospective cross-sectional | 12 months | No | Societal* | Primary and secondary |
Saidi and Mutisto, 201334 | 2010 | Kenya | Urban | 205 | Prospective | 13 months | No | Patient* | Primary |
Allen Ingabire et al, 201535 | 2011 | Rwanda | Urban | 269 | Retrospective cross-sectional | 12 months | No | Societal* | Primary and secondary |
Matiwane and Mahomed, 201836 | 2016 | South Africa | Urban | 208 | Retrospective | 12 months | Yes | Provider* | Secondary |
Juillard et al, 201037 | 2005 | Nigeria | Urban | 127 | Retrospective community-based survey | 12 months | Yes | Patient* | Primary |
Urua et al, 201738 | 2015 | Nigeria | Urban | 266 | Retrospective† | 2 months | No | Patient* | Primary |
Parkinson et al, 201439 | 2012 | South Africa | Urban | 100 | Prospective micro-costing | 10 weeks | No | Patient* | Primary |
Olukoga, 200440 | 1998 | South Africa | Urban | 9939 | Retrospective† | Not stated | No | Societal* | Secondary |
Ipingbemi, 200841 | 2008‡ | Nigeria | Urban | 438 | Prospective and retrospective† | Not stated | No | Patient* | Primary and secondary |
*Perspective not specified, so the reviewers’ evaluation was applied.
†Study design not mentioned in paper, so the reviewers’ perspective was applied.
‡Year of costing not stated, so the year of publication was used.
All studies were conducted between 1998 and 2016, with 64% (n=7) being done in the last decade. Forty-five percent (n=5)10 32–35 of studies looked specifically at RTIs involving motorcycles, whereas the other 55% looked at RTIs in general (data not shown). Although the majority (91%) included all injuries resulting from RTIs, one33 focused exclusively on dentofacial injuries among motorcycle crashes. Nine (82%) studies were carried out in urban settings, one in a rural setting, and one involved both urban and rural settings.
Study design was explicitly stated in 64% (n=7). Seventy-one percent of the reported designs were retrospective, and 29% (n=2) were prospective. For the remaining 36% (n=4), the reviewers determined the study design based on the information provided in the studies. On this basis, two studies were considered retrospective designs, and two employed both prospective and retrospective designs.
Nine studies (82%) specified a time horizon.10 32–39 All the time horizons reported were 13 months or less, and as such, costs did not require to be discounted.
None of the studies explicitly stated the perspectives taken. All perspectives summarised in table 1 are based on the reviewers’ evaluation of the papers. The most described perspectives in the articles were patient (55%) and societal (36%). Only one article (9%) was deemed to have taken a provider perspective.
Exclusive primary data collection was used in 45% (n=5) of studies, 18% (n=2) utilised secondary data collection methods and 36% (n=4) made use of both data sources.
The costs of RTIs
The costing methodology and results of the reviewed studies are summarised in table 2. All 11 studies reported direct medical costs. Overall, seven studies (64%) reported more than one type of cost, but only one36 reported direct and indirect costs as separate results.
Table 2.
Costing methodology and economic features of the reviewed studies
Author, year | Study location | Cost (INT$) | Unit (mean per) |
Costing methodology | Components of cost described | Drivers of cost identified | Types of cost presented |
Sangowawa et al, 201110 | Nigeria | 187 | Per injury | Not specified | Yes | No | Direct and indirect costs |
Agbor et al, 201432 | Cameroon | 486 | Per hospitalisation | Not specified | No | Yes* | Direct cost |
Kudebong et al, 201133 | Ghana | 3 879 647 | Total cost | Gross output | Yes | Yes* | Direct and indirect costs |
782 | Per injury† | ||||||
Saidi and Mutisto, 201334 | Kenya | 1129 | Per hospitalisation | Not specified | No | Yes* | Direct cost |
Allen Ingabire et al, 201535 | Rwanda | 14 193 | Per injury | Gross output | Yes | Yes* | Direct and indirect costs |
Matiwane and Mahomed 201836 | South Africa | 6005 | Per hospitalisation | Mixed methods- bottom-up and top-down | Yes | Yes | Direct and indirect costs |
Juillard et al, 201037 | Nigeria | 119 | Per injury | Not specified | Yes | Yes* | Direct and indirect costs |
Urua et al, 201738 | Nigeria | 588 | Per hospitalisation | Not specified | Yes | Yes* | Direct cost |
Parkinson et al, 201439 | South Africa | 12 845 | Per hospitalisation | Micro-costing | Yes | Yes | Direct cost |
Olukoga, 200440 | South Africa | 10 906 | Per minor injury | Not Specified | Yes | No | Direct and indirect costs |
40 578 | Per major injury | ||||||
178 634 | Per fatal injury | ||||||
Ipingbemi, 200841 | Nigeria | 1454 | Per hospitalisation | Not specified | No | No | Direct cost |
*Reviewers identified cost drivers.
†Cost per injury derived from the total cost.
More than half of the reviewed articles (63%) did not state their costing method. Of those that did, three33 35 used a gross output approach, one36 utilised mixed methodology (top-down and bottom-up approaches), and one39 was a micro-costing study.
Concerning the units of cost reported, 45% (n=5) of studies reported costs per injury, and 55% (n=6) reported cost per hospitalisation. Ten (91%) studies presented their findings as average unit cost per patient, while one study32 presented their findings as total costs. One study presented separate costs per severity of injury (slight/minor, serious/major and fatal injuries).40 Matinawe and Mahomed36 reported cost per patient per day; for this, the average cost per hospitalisation per patient was estimated by multiplying the average cost per patient per day by the average length of hospital stay of patients. Per hospitalisation costs ranged from INT$486 to 12 845 with an IQR of 8887.5 and median cost of INT$1291.5, while costs per injury ranged from INT$119 to 1 78 634 with an IQR of 40 391 and median cost of INT$10 906.
Regarding the components of costs presented, 73% (n=8) of studies described a breakdown of the cost components.10 32 35–40 The components of costs are presented in table 3. The most measured components of direct medical costs were surgical procedures and medications. The most measured direct non-medical costs were property damage, funeral cost, and administrative costs.
Table 3.
Components of costs reported
Cost variables | N |
Direct medical cost | |
Hospital stay/bed space | 3 |
Investigations (radiology) | 3 |
Investigations (laboratory) | 3 |
Surgical procedures | 4 |
Simple procedures such as catheterisation, nasogastric tube, wound dressing | 2 |
Prosthetics/orthopaedic implants | 3 |
Enteral feeding | 2 |
Medications | 4 |
Blood transfusion | 2 |
Intensive Care Unit (ICU) care | 1 |
Consultation fees | 1 |
Physiotherapy | 1 |
Medical consumables (such as cotton wool, gloves and diapers) | 2 |
Medical cost | 5 |
Direct non-medical cost | |
Transportation | 1 |
Feeding | 1 |
Miscellaneous out of pocket (OOP) spending (such as toiletries, drinking water and disinfectants) | 3 |
Property damage resulting from the crash | 3 |
Funeral costs | 3 |
Administrative costs (such as insurance and police) | 3 |
Legal costs | 2 |
Indirect cost | |
Loss of output | 5 |
Disability | 2 |
Days of work/job lost | 2 |
Pain and suffering | 3 |
Miscellaneous costs (such as visiting times to hospitals, repair shops, attending funerals, flowers and telephone cards) | 2 |
Employee compensation | 1 |
Considering the factors that drive the costs of RTIs, only 18% (n=2) clearly stated the drivers of costs observed in their studies.36 39 For six other studies, this was inferred based on the information presented on cost components in the papers.32–35 37 38 For the remaining three studies, no information was presented on the cost components and so it was not possible to determine the drivers of the cost.10 40 41 The reported costs are higher in studies that involved urban compared with rural areas. However, a direct comparison cannot be made as a result of heterogeneity in methodologies. Prolonged hospital stays, surgical sundries and severity of injury were observed to have the most influence on cost increment.
Quality of reporting evidence and costing methodology
The results of the quality assessment of the studies are summarised in figure 2 and reported in online supplemental file 2. Overall, only four (36%) of the reviewed articles met 50% or more of the checklist criteria.32 35 36 39 Two of them met around 60% or more of the criteria,36 37 and only one met more than 80% of the criteria.36 No study met all the criteria in the checklist.
Figure 2.
Quality of reporting in the selected studies.
Items 1 and 3 (title and background/objectives, respectively) were most often met. Eight studies (73%) identified their report as a costing study in the title, and all 11 studies gave enough background information and indicated the aims and objectives of their studies.
The least often met criteria were items 6, 11 and 13 in the methodology section (study perspective, analytical methods and characterising uncertainty in that order). All 11 studies failed to specify what perspectives they took. Only one study detailed their analysis and considered the effect of sampling uncertainty.36 Juillard et al reported performing analysis but did not provide any detail.37 Only two studies described analytic methods fully.36 37 One study,10 partially fulfilled the analytic methods criteria, and eight (73%) did not describe any method of analysis. Studies were not discounted as is expected since all the time horizons stated were 13 months or less.
Other benchmarks that were not achieved in the methodology section were estimating resources and cost (item 9) and providing information on currency, price date and conversion methods used (item 10). Only 18% (n=2) of studies presented information on the approaches used to identify, measure and value resources. Forty-five (45%) presented incomplete information and 36% did not report the approaches used. For three of the studies reviewed,34 37 41 the main objectives were not to estimate the costs of the injuries, so they mostly lacked the information necessary to fulfil this criterion. Identical findings were observed for reporting evidence on the currency and conversion methods (see figure 2).
In the results section, an inadequately met criterion was the presentation of costs (item no. 12). One-third of the reviewed studies provided comprehensive breakdowns of the different cost components measured and two-thirds stated what type of cost was being estimated. One study34 did not provide any detail in this regard.
Concerning the discussion section, 55% (n=6) of studies presented results that were in line with their objectives, summarised their essential findings, explained how they arrived at their reported conclusions, acknowledged the limitations in their work and discussed its generalisability and where it sits within the broader literature on the topic (item 14). Of the 45% (n=5) that only partially met this criterion, two did not discuss limitations or how transferrable their study results were. Of note was a similarity in the limitations highlighted in three of the studies.32 37 39 They all noted a possible underestimation of the actual cost as a result of sources of data, assumptions made, potential biases and costing methodologies.
Stating sources of funding (item no. 15) was also an area of glaring weakness. Only 36% (n=4) of the articles detailed their sources of funding.
Discussion
To the authors’ best knowledge, there is no existing systematic review on the economic burden of RTIs in SSA. The findings of this study demonstrate a dearth of existing data and research on the topic in and across the SSA region. It also shows that regardless of the limitations in the available data, the economic burden of RTIs is substantial and varies by country. Furthermore, it highlights the unsatisfactory quality of reporting of the existing evidence and the need for improvement. Finally, it suggests that the length of hospital stay, and surgical sundries are the most common associated factors with the cost of RTIs.
The first objective set out in this study was to review the published literature on the economic burden and costs of RTIs in SSA. The findings indicate that although more studies have been done in the last decade, huge gaps exist in available evidence across SSA. Only six countries in SSA were represented in the studies. This lack of geographic representation is consistent with information published by WHO highlighting the gaps in RTI research across SSA.42 The results of this study also show that a substantial number of the studies are conducted in urban than rural settings, similar to findings from Wesson et al review on RTIs in LMIC.43 However, although not explicitly specified in the studies reviewed, it should be acknowledged that the majority of urban studies are conducted in hospitals that cover both urban and rural populations. Nevertheless, this is a crucial missing variable as more than half of the population in LMIC (SSA included) live in rural areas.44
All 11 studies calculated direct medical costs, and our results suggest that direct cost is more often measured and is usually higher than indirect costs. Direct costs are easier to measure than indirect costs, especially in countries like those included in this study where many people are involved in the informal and subsistence economy. Inconsistency in measuring productivity losses of RTI victims and their caregivers can also limit the ability to capture indirect costs and the under-reporting of RTIs economic burden. Another challenge in measuring all costs in countries in Africa is the general under-reporting of injuries. This has been often identified as a challenge in understanding the burden of RTIs.7 45–47
This review found that the economic burden associated with RTIs is considerably high, especially when considering poverty levels in many SSA countries. The median costs of illness in this study was found to be about INT$10 906 per injury and INT$1291.5 per hospitalisation. For countries in the SSA region that is home to more than 50% of the world’s poor with limited or no access to insurance and social protection schemes,13 48 such spending could lead to catastrophic expenditure and impact national development.
In one of the reviewed studies done in Nigeria, the average cost per patient per hospitalisation was estimated to be INT$588.38 They also reported that 86% of the RTC victims included in their study had catastrophic expenditures (ie, spending more than 10% of the family’s annual income on treatment for the injuries).38 In a country in which more than 50% of the population live in extreme poverty (living below $1.90/day),49 50 it is highly likely that the cost of treatment for an RTC victim will lead to a worsening state of poverty and possibly, debts.
The second objective of this study was to review the quality of reporting the evidence and methods used to estimate and report the costs. This study found unsatisfactory reporting of methodology and poor quality of existing evidence on RTIs in SSA. As previously presented, less than 50% of the reviewed studies met half of the modified CHEERS checklist criteria. Only one study met more than 80% of the criteria.36 The poorly met criteria which need to be improved were reporting analysis perspectives taken, analytical methods including performing sensitivity analysis and characterising uncertainty. These weaknesses are consistent with previous cost of illness51 52 and economic evaluations53 54 reviews conducted in SSA.
Only one study36 in this systematic review reported and described sensitivity analysis and dealt with uncertainty. Lack of sensitivity analyses is not limited to RTIs economic analyses; Mutyambizi et al51 also noted the lack of reporting of sensitivity analysis as a significant limitation in their systematic review on the cost of illness of diabetes in Africa. Best practises include detailing the importance of performing sensitivity analysis and characterising uncertainty.24 55
In reviewing the methods used to identify and estimate cost of resources, more than half (63%) of the studies under review did not explicitly state their costing methods. In cases where it was stated, information on how resources were identified, measured or valued was not well detailed. A possible explanation for this could be the lack of standardisation and formal validation for estimating resources and costing methodologies.52 Nevertheless, it is best practise to describe methods used to estimate resources and unit costs.24 55 This allows generalisability of results and replication of methods, and thus, heterogeneity or absence of costing methodologies is problematic for generalisability.
We also found considerable variations in the units of cost and components used to estimate the cost. More than half of the studies reviewed did not include or only partially included a breakdown of the components of cost. Even though a comparability analysis was done to attempt adjusting for this, the costs may not be directly comparable to each other. Unit costs can only be directly comparable to similar units and it is difficult to directly compare costs in which the cost components are not known. Though there are no standardised definitions of direct and indirect costs and their components, detailing these components allow comparability, transparency and credibility of results.55 Thus, some of the costs reported in the reviewed studies may have been over or underestimated, and in the absence of cost components, the reliability of the results comes into question. Wessen et al reported similar variations in cost and cost descriptions in their systematic review of RTIs in LMICs.43
Regarding the third objective of this study, which was to identify the factors associated with the costs of RTIs, our results show the paucity of data. Two studies did a sensitivity analysis, but only one of those clearly stated the factors associated with the cost based on their analysis.36 One study did not report performing a sensitivity analysis but clearly stated factors that drive the cost,37 and hence, it is unclear how these drivers were identified in their study. Surgical sundries (especially implants), prolonged hospital stays and severity of injury were observed to be the most common associations that drive costs in this review, but they differed by and within countries. The only driver of cost highlighted in studies done in the same country was surgical sundries in South Africa.39 40
Limitations
The limitations noted in this review are a direct consequence of the limitations in the quantity and quality of the existing evidence on the topic. Due to the heterogeneity of the cost components, lack of transparency in resource estimation, variability in unit costs and costing methods, it is difficult to compare the costs across different countries directly. Likewise, the number of studies and countries included in this literature review is quite small, owing to the lack of existing data on the topic published in English and is not entirely representative of SSA.
Conclusion
The findings highlight limited evidence on the cost and economic burden of RTIs in SSA. The findings also show that the quality of the published data on RTIs is quite unsatisfactory and does not meet the criteria for best practises for reporting costs and costing, which is problematic for the credibility and generalisability of the results. Nevertheless, considering the high and increasing rate of RTIs in SSA, the available evidence suggests that the economic burden of RTIs in SSA can be substantially high.
More research is needed to understand the impact of this public health challenge, its costs to RTI victims and economic development and to inform and guide policymakers in designing interventions for road safety and injury prevention in SSA.
Supplementary Material
Footnotes
Twitter: @EmmArr_Cee, @drjackoids, @HHaghparast
Contributors: MFDR-C and HH-B contributed equally to the conception and design of this systematic review. MFDR-C, GR and HH-B contributed to the data extraction and analysis. MFDR-C wrote the first draft of the manuscript. MH, JD, MN, DHM and HH-B revised the manuscript critically and provided critical comments on the interpretation of findings. All authors approved the final manuscript for publication.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
Data sharing not applicable as no data sets generated and/or analysed for this study. No data are available.
Ethics statements
Patient consent for publication
Not required.
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Associated Data
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Supplementary Materials
bmjopen-2020-048231supp001.pdf (83.7KB, pdf)
bmjopen-2020-048231supp002.pdf (73.9KB, pdf)
Data Availability Statement
Data sharing not applicable as no data sets generated and/or analysed for this study. No data are available.