Impact of a nationwide prospective drug utilization review program to improve prescribing safety of potentially inappropriate medications in older adults: An interrupted time series with segmented regression analysis

2020 ◽  
Vol 30 (1) ◽  
pp. 17-27
Author(s):  
Suhyun Jang ◽  
Sohyun Jeong ◽  
Eunjeong Kang ◽  
Sunmee Jang
Keyword(s):  
Older Adults ◽  
Time Series ◽  
Regression Analysis ◽  
Interrupted Time Series ◽  
Utilization Review ◽  
Potentially Inappropriate Medications ◽  
Segmented Regression ◽  
Drug Utilization Review ◽  
Segmented Regression Analysis ◽  
Inappropriate Medications

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

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.

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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