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Traffic lights: putting a stop to unsafe patient transfers.

ABSTRACT: Poor handover between doctors is a recognised cause of error in hospitals.[1] Watford General Hospital is a busy acute trust in southern England, where high admission rates necessitate timely patient transfers from the acute admissions unit (AAU) to the medical wards. We found that doctors were infrequently informed of patient transfers, and they rarely handed over patient care when a patient was moved. Our aim was to minimise preventable harm to patients by prompting handover of clinically unstable patients, and patients with outstanding investigations or referrals, at the time of transfer. We introduced a traffic light tool to categorise patients on the medical take as red, amber, or green according to their clinical status at time of admission to AAU. The traffic light colour, which was assigned both on paper and electronically, was designed to prompt a verbal handover between doctors at the time of patient transfer from AAU.

SUBMITTER: Parbhoo A

PROVIDER: S-EPMC4645829 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Traffic lights: putting a stop to unsafe patient transfers.

Parbhoo Anita A Batte Jemma J

BMJ quality improvement reports 20150107 1

Poor handover between doctors is a recognised cause of error in hospitals.[1] Watford General Hospital is a busy acute trust in southern England, where high admission rates necessitate timely patient transfers from the acute admissions unit (AAU) to the medical wards. We found that doctors were infrequently informed of patient transfers, and they rarely handed over patient care when a patient was moved. Our aim was to minimise preventable harm to patients by prompting handover of clinically unst ...[more]

PMID: 26732304

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Project description:PurposeVehicle-pedestrian conflicts are common at road intersections when traffic lights change. However, the impact of traffic light on transportation safety and efficiency remains poorly understood.MethodsA two-stage study was used to survey the proportion of intersections with conflicting traffic lights and the related transportation efficiency and safety were evaluated as well. First, a cross-sectional study estimated the proportion of signalized intersections with conflicting left-turning vehicle-pedestrian traffic lights in Changsha city, China. Second, a natural experiment compared transportation efficiency and safety between intersections with and without conflicting left-turning vehicle-pedestrian traffic lights. Risky conflicts, where motor vehicles violated laws and failed to yield to pedestrians in crosswalk were used as a surrogate for transportation safety. The number of motor vehicles and pedestrians passing through the intersections per second and per meter were used to estimate transportation efficiency. Data were collected and analyzed in 2015 (from March to December). A search of online news from domestic media sources was also conducted to collect pedestrian injury data occurring at the intersections.ResultsAbout one-fourth (57/216) intersections had conflicting left-turning traffic lights (95% CI: 20.5%, 32.3%). Risky vehicle-pedestrian conflicts were more frequently observed at intersections with conflicting lights compared to those without (incidence rate ratio (IRR) = 3.13; pedestrians: IRR = 4.02), after adjusting for type of day (weekday vs. weekend), the time period of observation, and motor vehicles traffic flow. Intersections without conflicting vehicle-pedestrian traffic lights had similar transportation efficiency to those with conflicting lights after controlling for covariates (p > 0.05). The systematic review of news media reports yielded 10 left-turning vehicle-pedestrian crash events between 2011 and 2017, involving 11 moderate or severe pedestrian injuries and 3 fatal pedestrian injuries.ConclusionOver one-fourth of road intersections in Changsha city, China have conflicting left-turning traffic lights. Conflicting traffic lights cannot improve transportation efficiency, but increase risky conflicts between vehicles and pedestrians.

Dataset Information

Traffic lights: putting a stop to unsafe patient transfers.

Publications

Traffic lights: putting a stop to unsafe patient transfers.

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