Evaluating the Impact of Accreditation Using Interrupted Time Series Segmented Regression Analysis: A Reflective Analysis

2020 ◽  
Author(s):  
Subashnie Devkaran
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Interrupted Time Series ◽  
Segmented Regression ◽  
Segmented Regression Analysis ◽  
The Impact

scholarly journals Educational intervention to optimise serum immunoglobulin test use in Irish primary care: an interrupted time series with segmented regression analysis

2019 ◽  
Vol 70 (691) ◽  
pp. e146-e154
Author(s):  
Sharon L Cadogan ◽  
John P Browne ◽  
Colin P Bradley ◽  
Anthony P Fitzgerald ◽  
Mary R Cahill
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Regression Analysis ◽  
Laboratory Data ◽  
Interrupted Time Series ◽  
Serum Immunoglobulin ◽  
Segmented Regression ◽  
Segmented Regression Analysis ◽  
The Impact ◽  
Test Ordering

BackgroundImplementation science experts recommend that theory-based strategies, developed in collaboration with healthcare professionals, have greater chance of success.AimThis study evaluated the impact of a theory-based strategy for optimising the use of serum immunoglobulin testing in primary care.Design and settingAn interrupted time series with segmented regression analysis in the Cork–Kerry region, Ireland. An intervention was devised comprising a guideline and educational messages-based strategy targeting previously identified GP concerns relevant to testing for serum immunoglobulins.MethodInterrupted time series with segmented regression analysis was conducted to evaluate the intervention, using routine laboratory data from January 2012 to October 2016. Data were organised into fortnightly segments (96 time points pre-intervention and 26 post-intervention) and analysed using incidence rate ratios with their corresponding 95% confidence intervals.ResultsIn the most parsimonious model, the change in trend before and after the introduction of the intervention was statistically significant. In the 1-year period following the implementation of the strategy, test orders were falling at a rate of 0.42% per fortnight (P<0.001), with an absolute reduction of 0.59% per fortnight, corresponding to a reduction of 14.5% over the 12-month study period.ConclusionThe authors’ tailored guideline combined with educational messages reduced serum immunoglobulin test ordering in primary care over a 1-year period. Given the rarity of the conditions for which the test is utilised and the fact that the researchers had only population-level data, further investigation is required to examine the clinical implications of this change in test-ordering patterns.

scholarly journals Impact of a perioperative oral opioid substitution protocol during the nationwide intravenous opioid shortage: A single center, interrupted time series with segmented regression analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0234199
Author(s):  
Reza Salajegheh ◽  
Edward C. Nemergut ◽  
Terran M. Rice ◽  
Roy Joseph ◽  
Siny Tsang ◽  
...  
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Interrupted Time Series ◽  
Segmented Regression ◽  
Single Center ◽  
Segmented Regression Analysis ◽  
Opioid Substitution

Segmented regression analysis of interrupted time series studies in medication use research

2002 ◽  
Vol 27 (4) ◽  
pp. 299-309 ◽  
Author(s):  
A. K. Wagner ◽  
S. B. Soumerai ◽  
F. Zhang ◽  
D. Ross-Degnan
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Medication Use ◽  
Interrupted Time Series ◽  
Segmented Regression ◽  
Segmented Regression Analysis ◽  
Time Series Studies

The Impact of a National Antimicrobial Stewardship Program on Antibiotic Prescribing in Primary Care: An Interrupted Time Series Analysis

2018 ◽  
Vol 69 (2) ◽  
pp. 227-232 ◽  
Author(s):  
Violeta Balinskaite ◽  
Alan P Johnson ◽  
Alison Holmes ◽  
Paul Aylin
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Broad Spectrum ◽  
Interrupted Time Series ◽  
Series Data ◽  
Antibiotic Prescribing ◽  
Segmented Regression ◽  
Broad Spectrum Antibiotic ◽  
Stewardship Program ◽  
The Impact

Abstract Background The Quality Premium was introduced in 2015 to financially reward local commissioners of healthcare in England for targeted reductions in antibiotic prescribing in primary care. Methods We used a national antibiotic prescribing dataset from April 2013 until February 2017 to examine the number of antibiotic items prescribed, the total number of antibiotic items prescribed per STAR-PU (specific therapeutic group age/sex-related prescribing units), the number of broad-spectrum antibiotic items prescribed, and broad-spectrum antibiotic items prescribed, expressed as a percentage of the total number of antibiotic items. To evaluate the impact of the Quality Premium on antibiotic prescribing, we used a segmented regression analysis of interrupted time series data. Results During the study period, over 140 million antibiotic items were prescribed in primary care. Following the introduction of the Quality Premium, antibiotic items prescribed decreased by 8.2%, representing 5933563 fewer antibiotic items prescribed during the 23 post-intervention months, as compared with the expected numbers based on the trend in the pre-intervention period. After adjusting for the age and sex distribution in the population, the segmented regression model also showed a significant relative decrease in antibiotic items prescribed per STAR-PU. A similar effect was found for broad-spectrum antibiotics (comprising 10.1% of total antibiotic prescribing), with an 18.9% reduction in prescribing. Conclusions This study shows that the introduction of financial incentives for local commissioners of healthcare to improve the quality of prescribing was associated with a significant reduction in both total and broad-spectrum antibiotic prescribing in primary care in England.

Association of Attorney Advertising and FDA Action with Prescription Claims: A Time Series Segmented Regression Analysis

Drug Safety ◽  
2015 ◽  
Vol 38 (12) ◽  
pp. 1169-1178 ◽  
Author(s):  
Elizabeth C. Tippett ◽  
Brian K. Chen
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Segmented Regression ◽  
Segmented Regression Analysis
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