Patterns of Injury and Violence in Yaoundé Cameroon: An Analysis of Hospital Data

Juillard, Catherine; Mballa, Georges Alain Etoundi; Ndongo, Chancelline Bilounga; Stevens, Kent A.; Hyder, Adnan A.

doi:10.1007/s00268-010-0825-5

Cited by 40 publications

(43 citation statements)

References 42 publications

(39 reference statements)

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“…In reports from other sub-Saharan contexts, the proportion of RTI as a mechanism of injury is consistently high, ranging from just [40 % reported in Malawi to [90 % in data from Nigeria [13,29]. In this report, RTI served as the mechanism of injury for 59 % of patients, which is nearly identical to the proportion reported in the retrospective study from the same institution [12]. Also, females were again overrepresented among patients injured by bites and burns, highlighting the need for further investigation of potential risk factors specific to this population.…”

Section: Discussionsupporting

confidence: 76%

“…Additionally, basic demographic and clinical information, such as vital signs and neurologic status, was much more frequently available than when using administrative records alone (Table 9) [12,16].…”

Section: Discussionmentioning

confidence: 99%

“…In addition to several small, hospital-based injury-specific series available from Cameroon [8][9][10][11], a retrospective review of administrative data from a single institution in Cameroon's capital city, Yaoundé, has been reported [12].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Prospective Trauma Registry Data in Francophone Africa: A Pilot Study from Cameroon

et al. 2014

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Introduction Injury rates in sub-Saharan Africa are among the highest in the world, but prospective, registrybased reports from Cameroon are limited. We aimed to create a prospective trauma registry to expand the data elements collected on injury at a busy tertiary center in Yaoundé Cameroon. Methods Details of the injury context, presentation, care, cost, and disposition from the emergency department (ED) were gathered over a 6-month period, by trained research assistants using a structured questionnaire. Bivariate and multivariate models were built to explore variable relationships and outcomes.Results There were 2,855 injured patients in 6 months, comprising almost half of all ED visits. Mean age was 30 years; 73 % were male. Injury mechanism was road traffic injury in 59 %, fall in 7 %, penetrating trauma in 6 %, and animal bites in 4 %. Of these, 1,974 (69 %) were discharged home, 517 (18 %) taken to the operating room, and 14 (1 %) to the intensive care unit. The body areas most severely injured were pelvis and extremity in 43 %, head in 30 %, chest in 4 %, and abdomen in 3 %. The estimated injury severity score (eISS) was\9 in 60 %, 9-24 in 35 %, and[25 in 2 %. Mortality was 0.7 %. In the multivariate analysis, independent predictors of mortality were eISS C9 and Glasgow Coma Score B12. Road traffic injury was an independent predictor for the need to have surgery. Trauma registry results were presented to the Ministry of Health in Cameroon, prompting the formation of a National Injury Committee. Conclusions Injuries comprise a significant proportion of ED visits and utilization of surgical services in Yaoundé. A prospective approach allows for more extensive information. Thorough data from a prospective trauma registry can be used successfully to advocate for policy towards prevention and treatment of injuries.

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Section: Discussionsupporting

confidence: 76%

Section: Discussionmentioning

confidence: 99%

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Analysis of Prospective Trauma Registry Data in Francophone Africa: A Pilot Study from Cameroon

et al. 2014

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“…In Africa, there is a dramatic increase [1]. Injury-related mortality rates in sub-Saharan Africa are among the highest in the world and according to the WHO, Cameroon has an estimated annual mortality rate due to the injury of nearly 102 per 100,000 individuals [2]. Moreover, mortality is sometimes described-as Howe, Huttly and Abramsky [3] said, as "the "tip of the iceberg", because for every child who dies many more will suffer non-fatal injuries" and "a proportion of these will be left with varying degrees of disability".…”

Section: Introductionmentioning

confidence: 99%

“…So, next to this high mortality fairly well documented, there is also a significant morbidity for which there is a lack of information [1] [3]- [6]. Furthermore, information regarding the epidemiology of injury in Africa is sparse and availability of data on children and young people are extremely limited [2] [3] [6] [7]. Moreover, the majority of these studies were usually based on hospital data; such data may provide information on the type and severity of injuries, but they contain little information on associated factors [1] [2] [4] [6] [8]- [11].…”

Section: Introductionmentioning

confidence: 99%

Injury-Related Profiles among School-Aged Children in Cameroon: Analysis Based on the “First Survey—Health Young People”

Senterre

Lévêque²,

Piette³

et al. 2014

OJEpi

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Aims: Establish profiles of young "at risk" of injuries, first, on an overall point of view and, secondly, for some types of injuries (sport, home, road traffic, school and work injuries). Methods: We have taken nearly 50 variables into consideration: 17 variables for construction of the socioeconomic status, 9 variables for the investigation of symptoms, 11 concerning drugs, 5 for healthy habits, 3 for investigating the violence behavior, 4 concerning the school, 3 for subjective health and finally 3 for social network. We have used the principal component analysis, the multiple correspondence analysis and the weighted-frequency score for reducing the number of them. After these reductions, 15 variables were available for analyses. The relationship between injuries and investigated factors was assessed using the Pearson's chi-square test. We also calculated odds ratio (OR) with their 95% confidence intervals (95%CI) to estimate the strengths of the associations. To further assess these relationships but also for taking into account the potentials confounding effects of some variables, logistic regression model and multinomial logistic regression model were applied. Results: The whole injury prevalence was equal to 45.6% and among the injured, the proportion of the several types was equal to 33.8% for sport injuries, 32.2% for home injuries, 16.6% for traffic injuries, 11.6% for school injuries and 5.7% for work injuries. We can say that, in light of the variables studied, the "at risk" profile for having reported an injury is being a boy, being younger, having drug experiences, with the violent profile, and declaring several symptoms. There are no consistent and marked deviations in this study from the findings obtained in previous studies. Conclusion: Analyzing injuries in general is interesting but for preventing them it is important to know in which activities children and students are engaged when they are injured.

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Urbanization and Unintentional Injury in Low- and Middle-Income Countries

Kraemer

2015

Innovating for Healthy Urbanization

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Patterns of Injury and Violence in Yaoundé Cameroon: An Analysis of Hospital Data

Cited by 40 publications

References 42 publications

Analysis of Prospective Trauma Registry Data in Francophone Africa: A Pilot Study from Cameroon

Analysis of Prospective Trauma Registry Data in Francophone Africa: A Pilot Study from Cameroon

Injury-Related Profiles among School-Aged Children in Cameroon: Analysis Based on the “First Survey—Health Young People”

Urbanization and Unintentional Injury in Low- and Middle-Income Countries

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