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.

Interrupted Time-Series Analysis to Evaluate the Impact of a National Antimicrobial Stewardship Campaign on Antibiotic Prescribing: A Typical Practice in China’s Primary Care

2020 ◽  
Author(s):  
Hui Li ◽  
Yanhong Gong ◽  
Jing Han ◽  
Shengchao Zhang ◽  
Shanquan Chen ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Antimicrobial Stewardship ◽  
Broad Spectrum ◽  
Interrupted Time Series ◽  
Antibiotic Prescribing ◽  
Interrupted Time Series Analysis ◽  
Targeted Interventions ◽  
The Impact ◽  
Outpatient Prescriptions

Abstract Background After implementing the 2011 national antimicrobial stewardship campaign, few studies focused on evaluating its effect in China’s primary care facilities. Methods We randomly selected 11 community health centers in Shenzhen, China, and collected all outpatient prescriptions of these centers from 2010–2015. To evaluate the impact of local interventions on antibiotic prescribing, we used a segmented regression model of interrupted time series to analyze seven outcomes, i.e., percentage of prescriptions with antibiotics, and percentages of prescriptions with broad-spectrum antibiotics, with parenteral antibiotics, and with two or more antibiotics in all prescriptions or antibiotics-containing prescriptions. Results Overall, 1 482 223 outpatient prescriptions were obtained. The intervention was associated with a significant immediate change (–5.2%, P=.04) and change in slope (–3.1% per month, P<.01) for the percentage of prescriptions with antibiotics, and its relative cumulative effect at the end of the study was –74.0% (95% confidence interval, –79.0% to –69.1%). After the intervention, the percentage of prescriptions with broad-spectrum, and with parenteral antibiotics decreased dramatically by 36.7% and 77.3%, respectively, but their percentages in antibiotic-containing prescriptions decreased insignificantly. Percentage of prescriptions with two or more antibiotics in all prescriptions or antibiotics-containing prescriptions only showed immediate changes, but significant changes in slope were not observed. Conclusions A typical practice in Shenzhen, China, showed that strict enforcement of antimicrobial stewardship campaign could effectively reduce antibiotic prescribing in primary care with a stable long-term effect. However, prescribing of broad-spectrum and parenteral antibiotics was still prevalent. More targeted interventions are required to promote appropriate antibiotic use.

scholarly journals Trends in Antibiotic Prescribing in Out-of-Hours Primary Care in England from January 2016 to June 2020 to Understand Behaviours during the First Wave of COVID-19

Antibiotics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 32
Author(s):  
Nina J. Zhu ◽  
Monsey McLeod ◽  
Cliodna A. M. McNulty ◽  
Donna M. Lecky ◽  
Alison H. Holmes ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Patient Outcomes ◽  
Broad Spectrum ◽  
Antibiotic Prescribing ◽  
Broad Spectrum Antibiotic ◽  
Out Of Hours ◽  
Broad Spectrum Antibiotics ◽  
National Quality ◽  
General Practices

We describe the trend of antibiotic prescribing in out-of-hours (OOH) general practices (GP) before and during England’s first wave of the COVID-19 pandemic. We analysed practice-level prescribing records between January 2016 to June 2020 to report the trends for the total prescribing volume, prescribing of broad-spectrum antibiotics and key agents included in the national Quality Premium. We performed a time-series analysis to detect measurable changes in the prescribing volume associated with COVID-19. Before COVID-19, the total prescribing volume and the percentage of broad-spectrum antibiotics continued to decrease in-hours (IH). The prescribing of broad-spectrum antibiotics was higher in OOH (OOH: 10.1%, IH: 8.7%), but a consistent decrease in the trimethoprim-to-nitrofurantoin ratio was observed OOH. The OOH antibiotic prescribing volume diverged from the historical trend in March 2020 and started to decrease by 5088 items per month. Broad-spectrum antibiotic prescribing started to increase in OOH and IH. In OOH, co-amoxiclav and doxycycline peaked in March to May in 2020, which was out of sync with seasonality peaks (Winter) in previous years. While this increase might be explained by the implementation of the national guideline to use co-amoxiclav and doxycycline to manage pneumonia in the community during COVID-19, further investigation is required to see whether the observed reduction in OOH antibiotic prescribing persists and how this reduction might influence antimicrobial resistance and patient outcomes.

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 COVID-19 and Antibiotic Prescribing in Pediatric Primary Care

PEDIATRICS ◽  
2022 ◽  
Author(s):  
Lauren Dutcher ◽  
Yun Li ◽  
Giyoung Lee ◽  
Robert Grundmeier ◽  
Keith W. Hamilton ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
The United States ◽  
Pediatric Primary Care ◽  
Antibiotic Prescribing ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
The Impact

BACKGROUND AND OBJECTIVES: With the onset of the coronavirus disease 2019 (COVID-19) pandemic, pediatric ambulatory encounter volume and antibiotic prescribing both decreased; however, the durability of these reductions in pediatric primary care in the United States has not been assessed. METHODS: We conducted a retrospective observational study to assess the impact of the COVID-19 pandemic and associated public health measures on antibiotic prescribing in 27 pediatric primary care practices. Encounters from January 1, 2018, through June 30, 2021, were included. The primary outcome was monthly antibiotic prescriptions per 1000 patients. Interrupted time series analysis was performed. RESULTS: There were 69 327 total antibiotic prescriptions from April through December in 2019 and 18 935 antibiotic prescriptions during the same months in 2020, a 72.7% reduction. The reduction in prescriptions at visits for respiratory tract infection (RTI) accounted for 87.3% of this decrease. Using interrupted time series analysis, overall antibiotic prescriptions decreased from 31.6 to 6.4 prescriptions per 1000 patients in April 2020 (difference of −25.2 prescriptions per 1000 patients; 95% CI: −32.9 to −17.5). This was followed by a nonsignificant monthly increase in antibiotic prescriptions, with prescribing beginning to rebound from April to June 2021. Encounter volume also immediately decreased, and while overall encounter volume quickly started to recover, RTI encounter volume returned more slowly. CONCLUSIONS: Reductions in antibiotic prescribing in pediatric primary care during the COVID-19 pandemic were sustained, only beginning to rise in 2021, primarily driven by reductions in RTI encounters. Reductions in viral RTI transmission likely played a substantial role in reduced RTI visits and antibiotic prescriptions.

scholarly journals Correction to: Measuring the impact of the Afordable Care Act Medicaid expansion on access to primary care using an interrupted time series approach

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Elizabeth A. Brown ◽  
Brandi M. White ◽  
Walter J. Jones ◽  
Mulugeta Gebregziabher ◽  
Kit N. Simpson
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Interrupted Time Series ◽  
Medicaid Expansion ◽  
Time Series Approach ◽  
Access To Primary Care ◽  
The Impact

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Changes in the Use of Broad-Spectrum Antibiotics after Cefepime Shortage: a Time Series Analysis

2011 ◽  
Vol 56 (2) ◽  
pp. 989-994 ◽  
Author(s):  
C. Plüss-Suard ◽  
A. Pannatier ◽  
C. Ruffieux ◽  
A. Kronenberg ◽  
K. Mühlemann ◽  
...  
Keyword(s):  
Time Series ◽  
Pseudomonas Aeruginosa ◽  
Broad Spectrum ◽  
Interrupted Time Series ◽  
Antibiotic Policy ◽  
Content Type ◽  
Broad Spectrum Antibiotics ◽  
Before And After ◽  
Alternative Antibiotic ◽  
The Impact

ABSTRACTThe original cefepime product was withdrawn from the Swiss market in January 2007 and replaced by a generic 10 months later. The goals of the study were to assess the impact of this cefepime shortage on the use and costs of alternative broad-spectrum antibiotics, on antibiotic policy, and on resistance ofPseudomonas aeruginosatoward carbapenems, ceftazidime, and piperacillin-tazobactam. A generalized regression-based interrupted time series model assessed how much the shortage changed the monthly use and costs of cefepime and of selected alternative broad-spectrum antibiotics (ceftazidime, imipenem-cilastatin, meropenem, piperacillin-tazobactam) in 15 Swiss acute care hospitals from January 2005 to December 2008. Resistance ofP. aeruginosawas compared before and after the cefepime shortage. There was a statistically significant increase in the consumption of piperacillin-tazobactam in hospitals with definitive interruption of cefepime supply and of meropenem in hospitals with transient interruption of cefepime supply. Consumption of each alternative antibiotic tended to increase during the cefepime shortage and to decrease when the cefepime generic was released. These shifts were associated with significantly higher overall costs. There was no significant change in hospitals with uninterrupted cefepime supply. The alternative antibiotics for which an increase in consumption showed the strongest association with a progression of resistance were the carbapenems. The use of alternative antibiotics after cefepime withdrawal was associated with a significant increase in piperacillin-tazobactam and meropenem use and in overall costs and with a decrease in susceptibility ofP. aeruginosain hospitals. This warrants caution with regard to shortages and withdrawals of antibiotics.

Effectiveness of an intervention to improve antibiotic-prescribing behaviour in primary care: a controlled, interrupted time-series study

2019 ◽  
Vol 74 (9) ◽  
pp. 2788-2796 ◽  
Author(s):  
António Teixeira Rodrigues ◽  
Fátima Roque ◽  
Maria Piñeiro-Lamas ◽  
Amílcar Falcão ◽  
Adolfo Figueiras ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Quality Indicators ◽  
Health Professionals ◽  
Controlled Trial ◽  
Interrupted Time Series ◽  
Fourth Generation ◽  
Antibiotic Prescribing ◽  
Health Administration ◽  
Narrow Spectrum

Abstract Background High rates of antibiotic misprescribing in primary care, with alarming clinical and economic consequences, highlight the urgent need for interventions to improve antibiotic prescribing in this setting. Objectives To assess the effectiveness on antibiotic prescribing quality indicators of a multifaceted intervention targeting health professionals’ and patients’ behaviour regarding antibiotic use. Methods We conducted a pragmatic cluster-randomized controlled trial in the catchment area covered by Portugal’s Central Regional Health Administration. The intervention consisted of a multidisciplinary, multifaceted programme involving physicians, pharmacists and patients, and comprising outreach visits for physicians and pharmacists, and educational materials for health professionals and patients. The following were assessed: relative ratios of prescription of penicillins sensitive to β-lactamase, penicillin combinations including β-lactamase inhibitors, third- and fourth-generation cephalosporins and fluoroquinolones; and the ratio of broad- to narrow-spectrum antibiotics. An interrupted time-series analysis for multiple-group comparisons was performed. The study protocol was registered on Clinical.trials.gov (NCT02173509). Results The participation rate in the educational intervention was 64% (197/309 GPs) in a total of 25 counties. Statistically significant improvements were obtained, not only in the relative prescription of penicillins sensitive to β-lactamase (overall relative change of +896%) and penicillin combinations including β-lactamase inhibitors (−161%), but also in the ratio of broad- to narrow-spectrum antibiotics (−200%). Statistically significant results were also obtained for third- and fourth-generation cephalosporins, though only in the immediate term. Conclusions This study showed that quality indicators of antibiotic prescribing can be improved by tackling influences on behaviour including knowledge and attitudes surrounding physicians’ clinical practice. Accordingly, these determinants must be considered when implementing interventions aimed at improving antibiotic prescribing.

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