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Interrupted Time Series Analysis of Bar/Tavern Closing Hours and Violent Crime

JAMA Internal Medicine
ImportanceIt is well established that alcohol outlets (ie, places that sell alcohol) attract crime, particularly during late-night hours.ObjectiveTo evaluate the association of Maryland Senate Bill 571 (SB571), which reduced the hours of sale for bars/taverns in 1 Baltimore neighborhood from 6 am to 2 am to 9 am to 10 pm, with violent crime within that
Erika M, Rosen   +5 more
openaire   +3 more sources

Impact of carbapenem-targeted antimicrobial stewardship interventions: an interrupted time-series analysis

Journal of Hospital Infection, 2023
The development of carbapenem-resistant Gram-negative bacilli (CR-GNB) is largely favoured by indiscriminate and prolonged carbapenem use, which is a significant contributing factor.To evaluate the impact of two carbapenem antibiotic stewardship programme interventions on both carbapenem prescriptions and the clinical isolation rates of CR-GNBs, using ...
H-J, Son   +9 more
openaire   +3 more sources

Interrupted Time Series Analysis in Clinical Research

Annals of Pharmacotherapy, 2003
OBJECTIVE: To demonstrate the usefulness of interrupted time series analysis in clinical trial design. METHODS: A safety data set of electrocardiographic (ECG) information was simulated from actual data that had been collected in a Phase I study. Simulated data on 18 healthy volunteers based on a study performed in a contract research facility were ...
Lloyd K, Matowe   +3 more
openaire   +2 more sources

Trauma team leader and early mortality: An interrupted time series analysis

The American Journal of Emergency Medicine, 2022
The trauma team leader (TTL) is a "model" of a specifically dedicated team leader in the emergency department (ED), but its benefits are uncertain. The primary objective was to assess the impact of the TTL on 72-hour mortality. Secondary objectives included 24-hour mortality and admission delays from the ED.Major trauma admissions (Injury Severity ...
Jennifer, Truchot   +7 more
openaire   +2 more sources

The association between recreational cannabis legalization, commercialization and cannabis attributable emergency department visits in Ontario, Canada: an interrupted time-series analysis.

Addiction, 2022
BACKGROUND AND AIMS Recreational cannabis was legalized in Canada in October 2018. Initially, the Government of Ontario (Canada's largest province) placed strict limits on the number of cannabis retail stores before later removing these limits.
D. Myran   +5 more
semanticscholar   +1 more source

The effect of COVID-19 on workplace violence in California's hospitals: An interrupted time series analysis.

Journal of Advanced Nursing, 2023
AIM This study used California's unique Workplace Violent Incident Reporting System (WVIRS) to describe changes in workplace violence (WV) exposure for hospital-based healthcare workers during the pandemic.
R. Odes   +3 more
semanticscholar   +1 more source

Interrupted Time Series Analysis

2019
Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. Example analyses of social, behavioural, and biomedical time series illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. The classic Box-Jenkins-Tiao
David McDowall   +2 more
openaire   +1 more source

Innovating patient care delivery: DSRIP's interrupted time series analysis paradigm

Healthcare, 2019
Adoption of Medicaid Section 1115 waiver is one of the many ways of innovating healthcare delivery system. The Delivery System Reform Incentive Payment (DSRIP) pool, one of the two funding pools of the waiver has four categories viz. infrastructure development, program innovation and redesign, quality improvement reporting and lastly, bringing about ...
Amrita G, Shenoy   +4 more
openaire   +2 more sources

Computer Programs for Interrupted Time Series Analysis: II A Quantitative Evaluation

Multivariate Behavioral Research, 1990
Interrupted time series analysis is a method of analysis for longitudinal experiments involving a sequence of observations on a single dependent variable before and after an intervention. The presence of dependency in the data necessitates the use of computer programs for data analysis. Five recently developed programs are evaluated: BMDP (Dixon, 1985),
J W, Harrop, W F, Velicer
openaire   +3 more sources

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