Piloting a hospital-based road traffic injury surveillance system in Nairobi County, Kenya, 2018-2019.

BACKGROUND: Kenya's estimated road traffic injury (RTI) death rate is 27.8/100,000 population, which is 1.5 times the global rate. Some RTI data are collected in Kenya; however, a systematic and integrated surveillance system does not exist. Therefore, we adopted and modified the World Health Organization's injury surveillance guidelines to pilot a hospital-based RTI surveillance system in Nairobi County, Kenya. METHODS: We prospectively documented all RTI cases presenting at two public trauma hospitals in Nairobi County from October 2018-April 2019. RTI cases were defined as injuries involving ≥1 moving vehicles on public roads. Demographics, injury circumstances, and outcome information were collected using standardized case report forms. The Kampala Trauma Score (KTS) was used to assess injury severity. RTI cases were characterized with descriptive statistics. RESULTS: Of the 1,840 RTI cases reported during the seven-month period, 73.2% were male. The median age was 29.8 years (range 1-89 years). Forty percent (n = 740) were taken to the hospital by bystanders. Median time for hospital arrival was 77 min. Pedestrians constituted 54.1% (n = 995) of cases. Of 400 motorcyclists, 48.0% lacked helmets. Similarly, 65.7% of bicyclists (23/35) lacked helmets. Among 386 motor vehicle occupants, 59.6% were not using seat belts (19.9% unknown). Seven percent of cases (n = 129) reported alcohol use (49.0% unknown), and 8.8% (n = 161) reported mobile phone use (59.7% unknown). Eleven percent of cases (n = 199) were severely injured (KTS <11), and 220 died. CONCLUSION: We demonstrated feasibility of a hospital-based RTI surveillance system in Nairobi County. Integrating information from crash scenes and hospitals can guide prevention.

Characteristics Associated With US Adults' Self-Reported COVID-19 Protective Behaviors When Getting Food From Restaurants, Winter 2021.

OBJECTIVES: Visiting restaurants and bars, particularly when doing so indoors, can increase transmission risk of SARS-CoV-2, the virus that causes COVID-19, among people who are not fully vaccinated. We aimed to understand US adults' self-reported protective behaviors when getting food from restaurants during the COVID-19 pandemic when vaccines were not widely available. METHODS: We used online nationwide survey data from January 2021 to assess self-reported restaurant-related behaviors of respondents (n = 502). We also used multiple logistic regression models to examine associations between respondents' characteristics and these restaurant-related behaviors. RESULTS: Half (49.7%) of respondents reported eating indoors at a restaurant at least once in the month before the survey. Respondents most likely to report eating inside restaurants were in the youngest age category (18-34 y), had personal COVID-19 experience, or indicated they felt safe eating inside a restaurant. Among respondents who had gotten food from a restaurant, more than 65% considered each of the following factors as important in their restaurant dining decision: whether the restaurant staff were wearing face masks, the restaurant requires face masks, other customers are wearing face masks, seating was spaced at least 6 feet apart, someone in their household was at risk for severe COVID-19 illness, and the restaurant was crowded. The most common protective behavior when eating at a restaurant was wearing a face mask; 44.9% of respondents who had eaten at a restaurant wore a face mask except when actively eating or drinking. CONCLUSION: The need for practicing prevention strategies, especially for those not up to date with COVID-19 vaccines, will be ongoing. Our findings can inform COVID-19 prevention messaging for public health officials, restaurant operators, and the public.

Motor Vehicle Crash Deaths - United States and 28 Other High-Income Countries, 2015 and 2019.

Motor vehicle crashes are preventable, yet they continue to be a leading cause of death in the United States. An average of 36,791 crash deaths occurred each year (101 deaths each day) during 2015-2019 in the United States. To measure progress in reducing motor vehicle crash deaths, CDC calculated population-based, distance-based, and vehicle-based death rates in 2015 and 2019, as well as average rates and average percent changes from 2015 to 2019, for the United States and 28 other high-income countries for which data were available. In 2019, the population-based death rate in the United States (11.1 per 100,000 population; 36,355 deaths) was the highest among the 29 high-income countries and was 2.3 times the average rate of the 28 other high-income countries (4.8). The 2019 U.S. distance-based death rate (1.11 per 100 million vehicle miles traveled) was higher than the average rate among 20 other high-income countries (0.92), and the 2019 U.S. vehicle-based death rate (1.21 per 10,000 registered vehicles) was higher than the average rate among 27 other high-income countries (0.78). The population-based death rate in the United States increased 0.1% from 2015 to 2019, whereas the average change among 27 other high-income countries was -10.4%. Widespread implementation of proven strategies and the Safe System approach, which accounts for human error and works to protect everyone on the road, (1) can help reduce motor vehicle crash deaths in the United States.

Decisions to attend holiday gatherings during COVID-19 and engagement in key prevention strategies: United States, January 2021.

Gatherings where people are eating and drinking can increase the risk of getting and spreading SARS-CoV-2 among people who are not fully vaccinated; prevention strategies like wearing masks and physical distancing continue to be important for some groups. We conducted an online survey to characterise fall/winter 2020-2021 holiday gatherings, decisions to attend and prevention strategies employed during and before gatherings. We determined associations between practicing prevention strategies, demographics and COVID-19 experience. Among 502 respondents, one-third attended in person holiday gatherings; 73% wore masks and 84% practiced physical distancing, but less did so always (29% and 23%, respectively). Younger adults were 44% more likely to attend gatherings than adults ≥35 years. Younger adults (adjusted prevalence ratio (aPR) 1.53, 95% CI 1.19-1.97), persons who did not experience COVID-19 themselves or have relatives/close friends experience severe COVID-19 (aPR 1.56, 95% CI 1.18-2.07), and non-Hispanic White persons (aPR 1.57, 95% CI 1.13-2.18) were more likely to not always wear masks in public during the 2 weeks before gatherings. Public health messaging emphasizing consistent application of COVID-19 prevention strategies is important to slow the spread of COVID-19.

Drowning in Uganda: examining data from administrative sources.

BACKGROUND: Drowning death rates in the African region are estimated to be the highest in the world. Data collection and surveillance for drowning in African countries are limited. We aimed to establish the availability of drowning data in multiple existing administrative data sources in Uganda and to describe the characteristics of drowning based on available data. METHODS: We conducted a retrospective descriptive study in 60 districts in Uganda using existing administrative records on drowning cases from January 2016 to June 2018 in district police offices, marine police detachments, fire/rescue brigade detachments, and the largest mortuary in those districts. Data were systematically deduplicated to determine and quantify unique drowning cases. RESULTS: A total of 1435 fatal and non-fatal drowning cases were recorded; 1009 (70%) in lakeside districts and 426 (30%) in non-lakeside districts. Of 1292 fatal cases, 1041 (81%) were identified in only one source. After deduplication, 1283 (89% of recorded cases; 1160 fatal, 123 non-fatal) unique drowning cases remained. Data completeness varied by source and variable. When demographic characteristics were known, fatal victims were predominantly male (n=876, 85%), and the average age was 24 years. In lakeside districts, 81% of fatal cases with a known activity at the time of drowning involved boating. CONCLUSION: Drowning cases are recorded in administrative sources in Uganda; however, opportunities to improve data coverage and completeness exist. An improved understanding of circumstances of drowning in both lakeside and non-lakeside districts in Uganda is required to plan drowning prevention strategies.

Use of child safety seats and booster seats in the United States: A comparison of parent/caregiver-reported and observed use estimates.

BACKGROUND: Motor-vehicles crashes are a leading cause of death among children. Age- and size-appropriate restraint use can prevent crash injuries and deaths among children. Strategies to increase child restraint use should be informed by reliable estimates of restraint use practices. OBJECTIVE: Compare parent/caregiver-reported and observed child restraint use estimates from the FallStyles and Estilos surveys with the National Survey of the Use of Booster Seats (NSUBS). METHODS: Estimates of child restraint use from two online, cross-sectional surveys-FallStyles, a survey of U.S. adults, and Estilos, a survey of U.S. Hispanic adults-were compared with observed data collected in NSUBS. Parents/caregivers of children aged ≤ 12 years were asked about the child's restraint use behaviors in FallStyles and Estilos, while restraint use was observed in NSUBS. Age-appropriate restraint use was defined as rear-facing child safety seat (CSS) use for children aged 0-4 years, forward-facing CSS use for children aged 2-7 years, booster seat use for children aged 5-12 years, and seat belt use for children aged 9-12 years. Age-appropriate restraint users are described by demographic characteristics and seat row, with weighted prevalence and corresponding 95% confidence intervals (CI) calculated. RESULTS: Overall, child restraint use as reported by parents/caregivers was 90.8% (CI: 87.5-94.1) (FallStyles) and 89.4% (CI: 85.5-93.4) for observed use (NSUBS). Among Hispanic children, reported restraint use was 82.6% (CI: 73.9-91.3) (Estilos) and 84.4% (CI: 79.0-88.6) for observed use (NSUBS, Hispanic children only). For age-appropriate restraint use, estimates ranged from 74.3% (CI: 69.7-79.0) (FallStyles) to 59.7% (CI: 55.0-64.4) (NSUBS), and for Hispanic children, from 71.5% (CI: 62.1-81.0) (Estilos) to 57.2% (CI: 51.2-63.2) (NSUBS, Hispanic children only). Conclusion and Practical Application: Overall estimates of parent/caregiver-reported and observed child restraint use were similar. However, for age-appropriate restraint use, reported use was higher than observed use for most age groups.

Does geographic location matter for transportation risk behaviors among U.S. public high school students?

Introduction: Teen motor vehicle crash fatality rates differ by geographic location. Studies assessing teen transportation risk behaviors by location are inconclusive. Therefore, we explored the role of census region and metropolitan status for driving prevalence and four transportation risk behaviors among U.S. public high school students. Methods: Data from 2015 and 2017 national Youth Risk Behavior Surveys were combined and analyzed. Multivariable models controlled for sex, age, race/ethnicity, grades in school, and school socioeconomic status. Results: Overall, 41% of students did not always wear a seat belt. Students attending schools in the Northeast were 40% more likely than those in the Midwest to not always wear a seat belt. Among the 75% of students aged ≥16 years who had driven during the past 30 days, 47% texted/e-mailed while driving. Students in the Northeast were 20% less likely than those in the Midwest to text/e-mail while driving, and students attending suburban or town schools were more likely to text/e-mail while driving (20% and 30%, respectively) than students attending urban schools. Nineteen percent of students rode with a driver who had been drinking alcohol, and 7% of drivers aged ≥16 years drove when they had been drinking alcohol, with no significant differences by location for either alcohol-related behavior. Conclusions: We found few differences in teen transportation risk behaviors by census region or metropolitan status. Age at licensure, time since licensure, driving experience, and the policy and physical driving environment might contribute more to variation in teen fatal crashes by location than differences in transportation risk behaviors. Regardless of location, teen transportation risk behaviors remain high. Future research could address developing effective strategies to reduce teen cell phone use while driving and enhancing community implementation of existing, effective strategies to improve seat belt use and reduce alcohol consumption and driving after drinking alcohol.

Transportation Risk Behaviors Among High School Students - Youth Risk Behavior Survey, United States, 2019.

Motor-vehicle crashes are a leading cause of death and nonfatal injury among U.S. adolescents, resulting in approximately 2,500 deaths and 300,000 nonfatal injuries each year. Risk for motor-vehicle crashes and resulting injuries and deaths varies, depending on such behaviors as seat belt use or impaired or distracted driving. Improved understanding of adolescents' transportation risk behaviors can guide prevention efforts. Therefore, data from the 2019 Youth Risk Behavior Survey were analyzed to determine prevalence of transportation risk behaviors, including not always wearing a seat belt, riding with a driver who had been drinking alcohol (riding with a drinking driver), driving after drinking alcohol, and texting or e-mailing while driving. Differences by student characteristics (age, sex, race/ethnicity, academic grades in school, and sexual identity) were calculated. Multivariable analyses controlling for student characteristics examined associations between risk behaviors. Approximately 43.1% of U.S. high school students did not always wear a seat belt and 16.7% rode with a drinking driver during the 30 days before the survey. Approximately 59.9% of students had driven a car during the 30 days before the survey. Among students who drove, 5.4% had driven after drinking alcohol and 39.0% had texted or e-mailed while driving. Prevalence of not always wearing a seat belt was higher among students who were younger, black, or had lower grades. Riding with a drinking driver was higher among Hispanic students or students with lower grades. Driving after drinking alcohol was higher among students who were older, male, Hispanic, or had lower grades. Texting while driving was higher among older students or white students. Few differences existed by sexual identity. Multivariable analyses revealed that students engaging in one transportation risk behavior were more likely to engage in other transportation risk behaviors. Traffic safety and public health professionals can use these findings to reduce transportation risk behaviors by selecting, implementing, and contextualizing the most appropriate and effective strategies for specific populations and for the environment.

Texting/Emailing While Driving Among High School Students in 35 States, United States, 2015.

PURPOSE: Determine the prevalence and explore individual- and state-level factors associated with texting/emailing while driving (TWD) among adolescent drivers in the United States. METHODS: Data from 35 states that administered the 2015 state Youth Risk Behavior Survey were analyzed. We used Poisson regression models with robust error variance to estimate prevalence ratios (PRs) for TWD. RESULTS: Among the 101,397 high school students aged ≥ 14 years who had driven a vehicle during the past 30 days, 38% reported TWD at least once. TWD prevalence ranged from 26% in Maryland to 64% in South Dakota. TWD prevalence was higher in states with a lower minimum learner's permit age and in states where a larger percentage of students drove. Multivariable analyses revealed that the likelihood of TWD increased substantially with age, and white students were more likely to engage in TWD than students of all other races/ethnicities. Infrequent seatbelt users were 21% more likely to engage in TWD compared with frequent seatbelt users (adjusted PR = 1.21, 95% confidence interval: 1.16-1.26), and students who reported drinking and driving were almost twice as likely to TWD as compared to students who did not (adjusted PR = 1.91, 95% confidence interval: 1.79-2.04). CONCLUSIONS: Prevalence of TWD among US high school students varied by more than two-fold across states. TWD prevalence was higher in states with lower minimum learner's permit ages and in states where a larger percentage of students drove. Older age, white race/ethnicity, and other risky driving behaviors were associated with TWD.

Evaluation of give kids a boost: A school-based program to increase booster seat use among urban children in economically disadvantaged areas.

OBJECTIVE: This study evaluated the effectiveness of a series of 1-year multifaceted school-based programs aimed at increasing booster seat use among urban children 4-7 years of age in economically disadvantaged areas. METHODS: During 4 consecutive school years, 2011-2015, the Give Kids a Boost (GKB) program was implemented in a total of 8 schools with similar demographics in Dallas County. Observational surveys were conducted at project schools before project implementation (P0), 1-4 weeks after the completion of project implementation (P1), and 4-5 months later (P2). Changes in booster seat use for the 3 time periods were compared for the 8 project and 14 comparison schools that received no intervention using a nonrandomized trial process. The intervention included (1) train-the-trainer sessions with teachers and parents; (2) presentations about booster seat safety; (3) tailored communication to parents; (4) distribution of fact sheets/resources; (5) walk-around education; and (6) booster seat inspections. The association between the GKB intervention and proper booster seat use was determined initially using univariate analysis. The association was also estimated using a generalized linear mixed model predicting a binomial outcome (booster seat use) for those aged 4 to 7 years, adjusted for child-level variables (age, sex, race/ethnicity) and car-level variables (vehicle type). The model incorporated the effects of clustering by site and by collection date to account for the possibility of repeated sampling. RESULTS: In the 8 project schools, booster seat use for children 4-7 years of age increased an average of 20.9 percentage points between P0 and P1 (P0 = 4.8%, P1 = 25.7%; odds ratio [OR] = 6.9; 95% confidence interval [CI], 5.5, 8.7; P < .001) and remained at that level in the P2 time period (P2 = 25.7%; P < .001, for P0 vs. P2) in the univariate analysis. The 14 comparison schools had minimal change in booster seat use. The multivariable model showed that children at the project schools were significantly more likely to be properly restrained in a booster seat after the intervention (OR = 2.7; 95% CI, 2.2, 3.3) compared to the P0 time period and compared to the comparison schools. CONCLUSION: Despite study limitations, the GKB program was positively associated with an increase in proper booster seat use for children 4-7 years of age in school settings among diverse populations in economically disadvantaged areas. These increases persisted into the following school year in a majority of the project schools. The GKB model may be a replicable strategy to increase booster seat use among school-age children in similar urban settings.

Preventing deaths and injuries from house fires: a cost-benefit analysis of a community-based smoke alarm installation programme.

BACKGROUND: Operation Installation (OI), a community-based smoke alarm installation programme in Dallas, Texas, targets houses in high-risk urban census tracts. Residents of houses that received OI installation (or programme houses) had 68% fewer medically treated house fire injuries (non-fatal and fatal) compared with residents of non-programme houses over an average of 5.2 years of follow-up during an effectiveness evaluation conducted from 2001 to 2011. OBJECTIVE: To estimate the cost-benefit of OI. METHODS: A mathematical model incorporated programme cost and effectiveness data as directly observed in OI. The estimated cost per smoke alarm installed was based on a retrospective analysis of OI expenditures from administrative records, 2006-2011. Injury incidence assumptions for a population that had the OI programme compared with the same population without the OI programme was based on the previous OI effectiveness study, 2001-2011. Unit costs for medical care and lost productivity associated with fire injuries were from a national public database. RESULTS: From a combined payers' perspective limited to direct programme and medical costs, the estimated incremental cost per fire injury averted through the OI installation programme was $128,800 (2013 US$). When a conservative estimate of lost productivity among victims was included, the incremental cost per fire injury averted was negative, suggesting long-term cost savings from the programme. The OI programme from 2001 to 2011 resulted in an estimated net savings of $3.8 million, or a $3.21 return on investment for every dollar spent on the programme using a societal cost perspective. CONCLUSIONS: Community smoke alarm installation programmes could be cost-beneficial in high-fire-risk neighbourhoods.