scholarly journals The impact of public transportation strikes on use of a bicycle share program in London: Interrupted time series design

2012 ◽  
Vol 54 (1) ◽  
pp. 74-76 ◽  
Author(s):  
Daniel Fuller ◽  
Shannon Sahlqvist ◽  
Steven Cummins ◽  
David Ogilvie
Keyword(s):  
Time Series ◽  
Public Transportation ◽  
Interrupted Time Series ◽  
Series Design ◽  
Time Series Design ◽  
The Impact ◽  
Interrupted Time Series Design

scholarly journals Scaling-up implementation in community hospitals: a multisite interrupted time series design of the Mobilization of Vulnerable Elders (MOVE) program in Alberta

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jayna Holroyd-Leduc ◽  
◽  
Charmalee Harris ◽  
Jemila S. Hamid ◽  
Joycelyne E. Ewusie ◽  
...  
Keyword(s):  
Time Series ◽  
Length Of Stay ◽  
Interrupted Time Series ◽  
Hospitalized Patients ◽  
Intervention Period ◽  
Community Hospitals ◽  
Series Design ◽  
Time Series Design ◽  
The Impact ◽  
Interrupted Time Series Design

Abstract Background As the population ages, older hospitalized patients are at increased risk for hospital-acquired morbidity. The Mobilization of Vulnerable Elders (MOVE) program is an evidence-informed early mobilization intervention that was previously evaluated in Ontario, Canada. The program was effective at improving mobilization rates and decreasing length of stay in academic hospitals. The aim of this study was to scale-up the program and conduct a replication study evaluating the impact of the evidence-informed mobilization intervention on various units in community hospitals within a different Canadian province. Methods The MOVE program was tailored to the local context at four community hospitals in Alberta, Canada. The study population was patients aged 65 years and older who were admitted to medicine, surgery, rehabilitation and intensive care units between July 2015 and July 2016. The primary outcome was patient mobilization measured by conducting visual audits twice a week, three times a day. The secondary outcomes included hospital length of stay obtained from hospital administrative data, and perceptions of the intervention assessed through a qualitative assessment. Using an interrupted time series design, the intervention was evaluated over three time periods (pre-intervention, during, and post-intervention). Results A total of 3601 patients [mean age 80.1 years (SD = 8.4 years)] were included in the overall analysis. There was a significant increase in mobilization at the end of the intervention period compared to pre-intervention, with 6% more patients out of bed (95% confidence interval (CI) 1, 11; p-value = 0.0173). A decreasing trend in median length of stay was observed, where patients on average stayed an estimated 3.59 fewer days (95%CI -15.06, 7.88) during the intervention compared to pre-intervention period. Conclusions MOVE is a low-cost, effective and adaptable intervention that improves mobilization in older hospitalized patients. This intervention has been replicated and scaled up across various units and hospital settings.

The Impact of High Intensity Street Lighting on Nighttime Business Burglary

1977 ◽  
Vol 19 (3) ◽  
pp. 235-239 ◽  
Author(s):  
Philip B. Krause
Keyword(s):  
Time Series ◽  
High Intensity ◽  
Interrupted Time Series ◽  
Statistical Methodology ◽  
Serial Dependence ◽  
Street Lighting ◽  
Series Design ◽  
Time Series Design ◽  
The Impact ◽  
Interrupted Time Series Design

This paper analyzes an experiment designed to demonstrate the effects of high intensity street lights on nighttime crime. The statistical methodology is developed around an interrupted time series design and illustrates the hazards that can arise if the serial dependence of successive observations is ignored.

scholarly journals Evaluating the Impact of the COVID-19 Pandemic on New Cancer Diagnoses and Oncology Care in Manitoba

2021 ◽  
Vol 28 (4) ◽  
pp. 3081-3090
Author(s):  
Kathleen M. Decker ◽  
Pascal Lambert ◽  
Allison Feely ◽  
Oliver Bucher ◽  
Julian O. Kim ◽  
...  
Keyword(s):  
Health Care ◽  
Time Series ◽  
Interrupted Time Series ◽  
Stage At Diagnosis ◽  
Intravenous Chemotherapy ◽  
Series Design ◽  
Oncology Care ◽  
Pathology Reports ◽  
The Impact ◽  
Interrupted Time Series Design

Individuals with cancer are vulnerable to infection with SARS-CoV-2, the virus causing COVID-19. Physical distancing, the reallocation of health care resources, and the implementation of procedures to reduce the spread of COVID-19 may also have serious consequences for people with cancer. We evaluated the impact of COVID-19 on new cancer diagnoses and oncology care in Manitoba, Canada using an interrupted time series design and data from the Manitoba Cancer Registry and CancerCare Manitoba’s (CCMB) electronic medical record. In April 2020, there was a 23% decrease in new cancer diagnoses, a 21% decrease in pathology reports, and a 43% reduction in surgical resections. There was no difference in new cancer diagnoses by August 2020, surgery by July 2020, and pathology reports by September 2020. From April 2020 to June 2021, there was a 13% decrease in radiotherapy (RT) fractions, an 18% decrease in UCC visits, and a 52% decrease in in-person visits. There was no change in intravenous chemotherapy visits per month, first RT visits, or overall patient visits. The impact of COVID-19 on shifts in the stage at diagnosis and survival will be assessed in future analyses.

scholarly journals Interrupted time series design to evaluate the effect of the ICD-9-CM to ICD-10-CM coding transition on injury hospitalization trends

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Svetla Slavova ◽  
Julia F. Costich ◽  
Huong Luu ◽  
Judith Fields ◽  
Barbara A. Gabella ◽  
...  
Keyword(s):  
Time Series ◽  
Interrupted Time Series ◽  
Series Design ◽  
Time Series Design ◽  
Icd 10 ◽  
Interrupted Time Series Design
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