RESUMO
Motor vehicle collisions and crashes are a leading cause of death among Nevada residents aged 5-34 years, representing 14% of all injury deaths in that age group in 2010. During 2008-2011, a total of 173 pedestrian deaths from motor vehicle collisions occurred in Nevada, accounting for 16% of motor vehicle deaths in the state. Approximately 75% (2 million persons) of Nevada residents live in Clark County, which includes the city of Las Vegas. To analyze pedestrian traffic deaths in Clark County among residents, visitors, and homeless persons, the Southern Nevada Health District used coroner's office data and death certificate data for the period 2008-2011. The results indicated that the average annual pedestrian traffic death rates from motor vehicle collisions during this period were 1.4 per 100,000 population for residents, 1.1 for visitors, and 30.7 for homeless persons. Among the three groups, time of day, location of motor vehicle collisions, and pedestrian blood alcohol concentration (BAC) differed. Effective interventions to increase roadway safety, such as lowering speed limits in areas with greater pedestrian traffic, targeting interventions during hours when alcohol-impaired walking is more likely, and modifying roadway designs to increase protection of pedestrians, might decrease pedestrian deaths among all three groups.
Assuntos
Acidentes de Trânsito/mortalidade , Pessoas Mal Alojadas/estatística & dados numéricos , Características de Residência/estatística & dados numéricos , Caminhada/lesões , Adolescente , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Criança , Etanol/sangue , Etnicidade/estatística & dados numéricos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Nevada/epidemiologia , Grupos Raciais/estatística & dados numéricos , Fatores de Tempo , Adulto JovemRESUMO
Importance: Hand hygiene adherence monitoring and feedback can reduce health care-acquired infections in hospitals. Few low-cost hand hygiene adherence monitoring tools exist in low-resource settings. Objective: To pilot an open-source application for mobile devices and an interactive analytical dashboard for the collection and visualization of health care workers' hand hygiene adherence data. Design, Setting, and Participants: This prospective multicenter quality improvement study evaluated preintervention and postintervention adherence with the 5 Moments for Hand Hygiene, as suggested by the World Health Organization, among health care workers from April 23 to May 25, 2018. A novel data collection form, the Hand Hygiene Observation Tool, was developed in open-source software and used to measure adherence with hand hygiene guidelines among health care workers in the inpatient therapeutic feeding center and pediatric ward of Anka General Hospital, Anka, Nigeria, and the postoperative ward of Noma Children's Hospital, Sokoto, Nigeria. Qualitative data were analyzed throughout data collection and used for immediate feedback to staff. A more formal analysis of the data was conducted during October 2018. Exposures: Multimodal hand hygiene improvement strategy with increased availability and accessibility of alcohol-based hand sanitizer, staff training and education, and evaluation and feedback in near real-time. Main Outcomes and Measures: Hand hygiene adherence before and after the intervention in 3 hospital wards, stratified by health care worker role, ward, and moment of hand hygiene. Results: A total of 686 preintervention adherence observations and 673 postintervention adherence observations were conducted. After the intervention, overall hand hygiene adherence increased from 32.4% to 57.4%. Adherence increased in both wards in Anka General Hospital (inpatient therapeutic feeding center, 24.3% [54 of 222 moments] to 63.7% [163 of 256 moments]; P < .001; pediatric ward, 50.9% [132 of 259 moments] to 68.8% [135 of 196 moments]; P < .001). Adherence among nurses in Anka General Hospital also increased in both wards (inpatient therapeutic feeding center, 17.7% [28 of 158 moments] to 71.2% [79 of 111 moments]; P < .001; pediatric ward, 45.9% [68 of 148 moments] to 68.4% [78 of 114 moments]; P < .001). In Noma Children's Hospital, the overall adherence increased from 17.6% (36 of 205 moments) to 39.8% (88 of 221 moments) (P < .001). Adherence among nurses in Noma Children's Hospital increased from 11.5% (14 of 122 moments) to 61.4% (78 of 126 moments) (P < .001). Adherence among Noma Children's Hospital physicians decreased from 34.2% (13 of 38 moments) to 8.6% (7 of 81 moments). Lowest overall adherence after the intervention occurred before patient contact (53.1% [85 of 160 moments]), before aseptic procedure (58.3% [21 of 36 moments]), and after touching a patient's surroundings (47.1% [124 of 263 moments]). Conclusions and Relevance: This study suggests that tools for the collection and rapid visualization of hand hygiene adherence data are feasible in low-resource settings. The novel tool used in this study may contribute to comprehensive infection prevention and control strategies and strengthening of hand hygiene behavior among all health care workers in health care facilities in humanitarian and low-resource settings.