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.

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.

scholarly journals Identifying antibiotic prescribing patterns through multi-level latent profile analyses: a cross-sectional survey of primary care physicians in Hubei of China

2020 ◽  
Author(s):  
Dan Wang ◽  
Chaojie Liu ◽  
Xinping Zhang ◽  
Chenxi Liu
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Primary Care Physicians ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Latent Profile Analyses ◽  
Broad Spectrum Antibiotics

Abstract Background Overuse of antibiotics significantly fuels the development of AMR, which threating the global population health. Great variations existed in antibiotic prescribing practices among physicians, indicating improvement potential for rational use of antibiotics. This study aims to identify antibiotic prescribing patterns of primary care physicians and potential determinants. Methods A cross-sectional survey was conducted on 551 physicians from 67 primary care facilities in Hubei selected through random cluster sampling, tapping into their knowledge, attitudes and prescribing practices toward antibiotics. Prescriptions (n=501,072) made by the participants from 1 January to 31 March 2018 were extracted from the medical records system. Seven indicators were calculated for each prescriber: average number of medicines per prescription, average number of antibiotics per prescription, percentage of prescriptions containing antibiotics, percentage of antibiotic prescriptions containing broad-spectrum antibiotics, percentage of antibiotic prescriptions containing parenteral administered antibiotics, percentage of antibiotic prescriptions containing restricted antibiotics, and percentage of antibiotic prescriptions containing antibiotics included in the WHO “Watch and Reserve” list. Two-level latent profile analyses were performed to identify the antibiotic prescribing patterns of physicians based on those indicators. Multi-nominal logistic regression models were established to identify determinants with the antibiotic prescribing patterns. Results On average, each primary care physician issued 909 (ranging from 100 to 11941 with a median of 474) prescriptions over the study period. The mean percentage of prescriptions containing antibiotics issued by the physicians reached 52.19% (SD=17.20%). Of those antibiotic prescriptions, an average of 82.29% (SD=15.83%) contained broad-spectrum antibiotics; 71.92% (SD=21.42%) contained parenteral administered antibiotics; 23.52% (SD=19.12%) contained antibiotics restricted by the regional government; and 67.74% (SD=20.98%) contained antibiotics listed in the WHO “Watch and Reserve” list. About 28.49% of the prescribers were identified as low antibiotic users, compared with 51.18% medium users and 20.33% high users. Higher use of antibiotics was associated with insufficient knowledge, indifference to changes, complacency with satisfied patients, low household income and rural location of the prescribers. Conclusion Great variation in antibiotic prescribing patterns exists among primary care physicians in Hubei of China. High use of antibiotics is not only associated with knowledge shortfalls but also low socioeconomic status of prescribers.

Local implementation of AMS initiatives: a mixed-methods study

2018 ◽  
Vol 68 (suppl 1) ◽  
pp. bjgp18X697025 ◽  
Author(s):  
Rosalie Allison ◽  
Donna Lecky ◽  
Elizabeth Beech ◽  
Ceire Costelloe ◽  
Diane Ashiru-Oredope ◽  
...  
Keyword(s):  
Primary Care ◽  
Qualitative Interviews ◽  
Antibiotic Prescribing ◽  
Out Of Hours ◽  
Face To Face ◽  
E Learning ◽  
General Practices ◽  
Primary Care Practitioners ◽  
Future Work ◽  
Common Infections

BackgroundThe NHS English Quality Premium recommends that inappropriate antibiotic prescribing is reduced; there are a range of national antimicrobial stewardship (AMS) initiatives to support this.AimThe aim of this study is to assess AMS activities in primary care across England. The findings will be used to inform how the RCGP, PHE and NHS can help optimise stewardship activities.MethodQualitative interviews: with AMS leads within Clinical Commissioning Groups’ (CCGs) and Commissioning Support Units’ (CSUs) medicines management teams. Questionnaire: informed by the qualitative data, sent to all 209 CCGs in England in 2017.ResultsIn total, 89% (187/209) of CCGs returned a questionnaire; 82% of AMS leads reported spending only 0.1 whole-time equivalent on AMS activities, as it was only one role within a wider remit, so dedicating time is challenging. 99% (167/169) of CCGs had delivered AMS education in the last 2 years: 140 face-to-face; 121 via e-learning. 99% (184/186) actively promoted the TARGET Antibiotics Toolkit; 94% (175/187) actively promoted TARGET patient leaflets: 92% The Treating Your Infection (TYI) leaflet. 90% (166/185) used the PHE managing common infections guidance: 81% (149/185) modify or localise; 41/185 (22%) signpost directly to it. Eighty-six CCGs reported using CCG audit tools and 82 CCGs reported using TARGET’s audit tools. 85% (142/168) fed back antimicrobial prescribing data to the CCG/CSU board; 100% (169/169) to general practices and 33% (56/169) to out-of-hours providers.ConclusionAlthough CCGs reported promoting these AMS activities, there was little evaluation of uptake by primary care practitioners. Future work should focus on measuring AMS uptake; having staff dedicated solely to AMS could facilitate this.

scholarly journals Effect of an Outpatient Antimicrobial Stewardship Intervention on Broad-Spectrum Antibiotic Prescribing by Primary Care Pediatricians

JAMA ◽  
2013 ◽  
Vol 309 (22) ◽  
pp. 2345 ◽  
Author(s):  
Jeffrey S. Gerber ◽  
Priya A. Prasad ◽  
Alexander G. Fiks ◽  
A. Russell Localio ◽  
Robert W. Grundmeier ◽  
...  
Keyword(s):  
Primary Care ◽  
Antimicrobial Stewardship ◽  
Broad Spectrum ◽  
Antibiotic Prescribing ◽  
Broad Spectrum Antibiotic ◽  
Primary Care Pediatricians

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 Impact of organizational context on patient outcomes in a proactive primary care program:a longitudinal observational study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Linda C. Smit ◽  
Niek J. De Wit ◽  
Meggie L. Nieuwenhuizen ◽  
Marieke J. Schuurmans ◽  
Nienke Bleijenberg
Keyword(s):  
Primary Care ◽  
General Practice ◽  
Patient Outcomes ◽  
Organizational Context ◽  
Care Program ◽  
District Nurse ◽  
Out Of Hours ◽  
Longitudinal Observational Study ◽  
Primary Care Program ◽  
General Practices

Abstract Background The effectiveness of health care interventions is co-determined by contextual factors. Unknown is the extent of this impact on patient outcomes. Therefore, the aim of this study is to explore which characteristics of general practices are associated with patient outcomes in a proactive primary care program, the U-PROFIT 2.0. Methods A longitudinal observational study was conducted from January 2016 till October 2017. Two questionnaires were send out, one to collect characteristics of general practices such as practice neighbourhood socio-economic status, general practice versus healthcare centre (involving multiple primary care professionals), and professional- frail older patient ratio per practice of general practitioners and practice nurses. Regarding delivering the program, the practice or district nurse who delivered the program, number of years since the start of the implementation, and choice of age threshold for frailty screening were collected. Patient outcomes collected by the second questionnaire and send to frail patients were daily functioning, hospital admissions, emergency department visits, and general practice out-of-hours consultations. Linear and generalized linear mixed models were used. Results A total of 827 frail older people were included at baseline. Delivery of the program by a district nurse compared to a practice nurse was significantly associated with a decrease in daily functioning on patient-level (β = 2.19; P = < 0.001). Duration since implementation of 3 years compared to 9 years was significantly associated with less out-of-hours consultations to a general practice (OR 0.11; P = 0.001). Applying frailty screening from the age of 75 compared to those targeted from the age of 60 showed a significant increase in emergency visits (OR 5.26; P = 0.03). Conclusion Three associations regarding the organizational context 1) the nurse who delivered the program, 2) the number of years the program was implemented and 3) the age threshold for defining a frail patient are significant and clinically relevant for frail patients that receive a proactive primary care program. In general, contextual factors need more attention when implementing complex primary care programs which can result in better balanced choices to enhance effective proactive care for older people living in the community.

scholarly journals The effect of primary care availability on antibiotic consumption in Hungary: a population based panel study using unfilled general practices

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e028233 ◽  
Author(s):  
Aniko Biro ◽  
Peter Elek
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Antibiotic Consumption ◽  
Antibiotic Prescribing ◽  
Narrow Spectrum ◽  
Days Of Therapy ◽  
Prescribing Behaviour ◽  
General Practices ◽  
Care Availability

ObjectiveWe analyse the effect of primary care availability on antibiotic consumption and on the quality of antibiotic prescribing behaviour.DesignRetrospective panel design, secondary analysis of settlement-level administrative panel data (n=2320 settlements, T=72 months).Participants and settingWe analyse antibiotic consumption of the population of villages in Hungary, over years 2010 to 2015. We exploit the geographical and time variation in unfilled (mainly single-handed) general practices as a source of exogenous variation in the availability of primary care. We control for socioeconomic characteristics and settlement fixed effects in a panel regression framework.Outcome measuresAntibiotic expenditures and days of therapy (DOT); consumption of narrow-spectrum and broad-spectrum antibiotics; consumption of Access, Watch and Reserve antibiotics according to the AWaRe categorisation; number of visits to the general practitioner (GP).ResultsIf the general practice of a village becomes unfilled, the number of GP visits decreases on average by 9.3% (95% CI 5.6% to 12.9%), antibiotics DOT decrease on average by 3.2% (95% CI 1.0% to 5.4%) and expenditures on antibiotics decrease on average by 2.5% (95% CI 0.3% to 4.7%). The negative effect on antibiotic consumption is stronger in settlements where secondary care is less available, and where antibiotics were previously overprescribed. The quality of prescribing behaviour measured by the relative changes in the narrow-spectrum vs broad-spectrum as well as the Access versus Watch and Reserve antibiotics deteriorates significantly as a consequence of worse primary care availability.ConclusionsLimited availability of primary care reduces the consumption of antibiotics and at the same time impairs the quality of prescriptions through a decrease of the number of doctor-patient encounters.

scholarly journals Introducing new point-of-care tests for common infections in publicly funded clinics in South Africa: a qualitative study with primary care clinicians

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e029260 ◽  
Author(s):  
Oliver van Hecke ◽  
Chris Butler ◽  
Marc Mendelson ◽  
Sarah Tonkin-Crine
Keyword(s):  
South Africa ◽  
Primary Care ◽  
Broad Spectrum ◽  
Point Of Care ◽  
Antibiotic Prescribing ◽  
Western Cape ◽  
Publicly Funded ◽  
Broad Spectrum Antibiotics ◽  
Primary Care Clinicians ◽  
Common Infections

Broad-spectrum antibiotics are routinely prescribed empirically in the resource-poor settings for suspected acute common infections, which drive antimicrobial resistance. Point-of-care testing (POCT) might increase the appropriateness of decisions about whether and which antibiotic to prescribe, but implementation will be most effective if clinician’s perspectives are taken into account.ObjectivesTo explore the perceptions of South African primary care clinicians working in publicly funded clinics about: making antibiotic prescribing decisions for two common infection syndromes (acute cough, urinary tract infection); their experiences of existing POCTs; their perceptions of the barriers and opportunities for introducing (hypothetical) new POCTs.Design, method, participants, settingQualitative semistructured interviews with 23 primary care clinicians (nurses and doctors) at publicly funded clinics in the Western Cape Metro district, South Africa. Data were analysed using thematic analysis.ResultsClinicians reported that their antibiotic prescribing decisions were influenced by their clinical assessment, patient comorbidities, social factors (eg, access to care) and perceived patient expectations. Their experiences with currently available POCTs were largely positive, and they were optimistic about the potential for new POCTs to: support evidence-based prescribing decisions that might reduce unnecessary antibiotic prescriptions; reduce the need for further investigations; support effective communication with patients, especially when antibiotics were unlikely to be of benefit. Resources and workflow disruption were seen as the main barriers to uptake into routine care.ConclusionsClinicians working in publicly funded clinics in the Western Cape Metro of South Africa saw POCTs as potentially useful for positively addressing both clinical and social drivers of the overprescribing of broad-spectrum antibiotics, but were concerned about the resource implications and disruption of existing patient workflows.

scholarly journals Identifying Antibiotic Prescribing Patterns Through Multi-Level Latent Profile Analyses: A Cross-Sectional Survey of Primary Care Physicians

2020 ◽  
Vol 11 ◽  
Author(s):  
Dan Wang ◽  
Chaojie Liu ◽  
Xinping Zhang ◽  
Chenxi Liu
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Primary Care Physicians ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Latent Profile Analyses ◽  
Broad Spectrum Antibiotics

Background: Overuse of antibiotics significantly fuels the development of Antimicrobial resistance, which threating the global population health. Great variations existed in antibiotic prescribing practices among physicians, indicating improvement potential for rational use of antibiotics. This study aims to identify antibiotic prescribing patterns of primary care physicians and potential determinants.Methods: A cross-sectional survey was conducted on 551 physicians from 67 primary care facilities in Hubei selected through random cluster sampling, tapping into their knowledge, attitudes and prescribing practices toward antibiotics. Prescriptions (n = 501,072) made by the participants from 1 January to March 31, 2018 were extracted from the medical records system. Seven indicators were calculated for each prescriber: average number of medicines per prescription, average number of antibiotics per prescription, percentage of prescriptions containing antibiotics, percentage of antibiotic prescriptions containing broad-spectrum antibiotics, percentage of antibiotic prescriptions containing parenteral administered antibiotics, percentage of antibiotic prescriptions containing restricted antibiotics, and percentage of antibiotic prescriptions containing antibiotics included in the WHO “Watch and Reserve” list. Two-level latent profile analyses were performed to identify the antibiotic prescribing patterns of physicians based on those indicators. Multi-nominal logistic regression models were established to identify determinants with the antibiotic prescribing patterns.Results: On average, each primary care physician issued 909 (ranging from 100 to 11,941 with a median of 474) prescriptions over the study period. The mean percentage of prescriptions containing antibiotics issued by the physicians reached 52.19% (SD = 17.20%). Of those antibiotic prescriptions, an average of 82.29% (SD = 15.83%) contained broad-spectrum antibiotics; 71.92% (SD = 21.42%) contained parenteral administered antibiotics; 23.52% (SD = 19.12%) contained antibiotics restricted by the regional government; and 67.74% (SD = 20.98%) contained antibiotics listed in the WHO “Watch and Reserve” list. About 28.49% of the prescribers were identified as low antibiotic users, compared with 51.18% medium users and 20.33% high users. Higher use of antibiotics was associated with insufficient knowledge, indifference to changes, complacency with satisfied patients, low household income and rural location of the prescribers.Conclusion: Great variation in antibiotic prescribing patterns exists among primary care physicians in Hubei of China. High use of antibiotics is not only associated with knowledge shortfalls but also low socioeconomic status of prescribers.

scholarly journals Evaluation of the Quality of Antibiotic Prescribing in Primary Care: A Multicenter Longitudinal Study From Shenzhen, China

2021 ◽  
Vol 11 ◽  
Author(s):  
Yanhong Gong ◽  
Hui Li ◽  
Heping Yang ◽  
Kun Tan ◽  
Wei Liu ◽  
...  
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Substantial Reduction ◽  
Guideline Recommendation ◽  
Antibiotic Prescribing ◽  
Oral Antibiotics ◽  
First Line ◽  
Broad Spectrum Antibiotics ◽  
Common Infections

Background: Currently, there is no comprehensive evaluation of the quality of antibiotic prescribing in China’s primary care facilities based on longitudinal data.Methods: We randomly selected 11 community health centers in Shenzhen, China, and collected all outpatient prescriptions of these centers from 2010 to 2015. To evaluate the quality of antibiotic prescribing, we used six quality indicators for analysis, including number of antibiotics per 100 consultations, ratio between broad-spectrum and narrow-spectrum antibiotics (B/N ratio), percentage of first-line antibiotics recommended by guidelines, percentage of oral antibiotics with a duration exceeding the guideline recommendation, and new pediatric-specific indicators such as percentage of antibiotics with amoxicillin (A index) and ratio between amoxicillin and broad-spectrum antibiotics (A/B ratio).Results: During the study period, 571,362 outpatient consultations resulted in antibiotic prescriptions, which contained 706,411 antibiotics. The overall number of antibiotics per 100 consultations decreased significantly from 93.50 in 2010 to 19.98 in 2015 (p = 0.004), but the B/N ratio showed an upward trend over time (p = 0.009). In different populations and different common infections, the number of antibiotics used decreased to varying degrees, while the B/N ratio increased to varying degrees, with the most obvious change in children &lt;5 years. The percentage of first-line antibiotics for common infections was not high, ranging from 3.45 to 44.25% during 2014–2015. The percentage of oral antibiotics with an exceeded duration ranged from 0.70 to 19.39%. Moreover, the A index and A/B ratio in children remained low for a long time, which was 0.76% and 0.01 in 2015.Conclusion: A review of antibiotic prescribing in Shenzhen, China, showed a substantial reduction in antibiotic use in primary care. However, problems such as widespread use of broad-spectrum antibiotics, insufficient use of first-line antibiotics and low use of amoxicillin were prevalent. Improving and optimizing the quality of antibiotic prescribing, particularly in children prescriptions, will be the focus of future antibiotic stewardship in China.

Sign in / Sign up

Export Citation Format

Share Document