Next Article in Journal
Multicenter, Observational Cohort Study Evaluating Third-Generation Cephalosporin Therapy for Bloodstream Infections Secondary to Enterobacter, Serratia, and Citrobacter Species
Next Article in Special Issue
Infectious Disease and Primary Care Research—What English General Practitioners Say They Need
Previous Article in Journal
Mersaquinone, A New Tetracene Derivative from the Marine-Derived Streptomyces sp. EG1 Exhibiting Activity against Methicillin-Resistant Staphylococcus aureus (MRSA)
Previous Article in Special Issue
Teacher and Student Views on the Feasibility of Peer to Peer Education as a Model to Educate 16–18 Year Olds on Prudent Antibiotic Use—A Qualitative Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Self-Reported Antimicrobial Stewardship Practices in Primary Care Using the TARGET Antibiotics Self-Assessment Tool

1
Primary Care and Interventions Unit, Public Health England, Gloucester GL1 1DQ, UK
2
Statistics, Modelling and Economics Department, Public Health England, London NW9 5EQ, UK
3
Royal College of General Practitioners, London NW1 2FB, UK
*
Author to whom correspondence should be addressed.
Submission received: 30 March 2020 / Revised: 1 May 2020 / Accepted: 13 May 2020 / Published: 14 May 2020
(This article belongs to the Special Issue Antimicrobial Stewardship in Primary Care)

Abstract

:
The self-assessment tool (SAT) is a 16-question self-report of antimicrobial stewardship practices in primary care, available in the TARGET (Treat Antibiotics Responsibly, Guidance Education and Tools) Antibiotics Toolkit. This study analysed responses to the SAT and compared them to previous SAT data (2014–2016). Data from June 2016 to September 2019 were anonymised and analysed using Microsoft Excel and STATA 15. Clinicians reported engaging in positive antimicrobial stewardship (AMS) practices including using antibiotic guidance to inform treatment decisions (98%, 98% 2014–2016), discussing antibiotic prescribing within the practice (73%, 67% 2014–2016), using patient-facing resources (94%, 71% 2014–2016), conducting antibiotic audits in the last two years (98%, 45% 2014–2016), keeping written records and action plans (81%, 62% 2014–2016), using back-up prescribing (99%, 94% 2014–2016) and using clinical coding (80%, 75% 2014–2016). Areas for improvement include developing strategies to avoid patients reconsulting to obtain antibiotics (45%, 33% 2014–2016), undertaking infection-related learning (37%, 29% 2014–2016), ensuring all temporary prescribers have access to antibiotic guidance (55%, 63% 2014–2016) and making patient information leaflets easily available during consultations (31%). The findings offer a unique insight into AMS in primary care over time. The SAT gives primary care clinicians and commissioners an opportunity to reflect on their AMS and learning.

1. Introduction

In 2012, Public Health England (PHE) and the Royal College of General Practitioners (RCGP) launched an antimicrobial stewardship (AMS) toolkit for primary care clinicians called the TARGET Antibiotics Toolkit. TARGET stands for Treat Antibiotics Responsibly; Guidance, Education and Tools and includes group and self-learning activities, patient information leaflets, diagnostic and management compliance audits, diagnostic flow charts and antibiotic guidance, patient-facing posters and videos, an AMS self-assessment tool (SAT) and online educational modules [1]. The SAT is a 16-item questionnaire made up of 12 multiple-choice questions covering current AMS practice and four open-ended reflective questions which allow respondents to reflect on their responses (See Appendix A for a screen shot of the SAT). After each question, there are information icons to reveal extra information on the topic area. The SAT is divided into three sections: what would be good practice now, what most practices should aim to do soon and what all antibiotic-aware practices should be doing.
Self-assessment is a common tool used to facilitate learning [2]. The process of self-assessment relies on the ability of an individual to identify discrepancies between their current and desired behaviour [3]. Reflection is a complementary tool which can be used to help individuals evaluate their skills and knowledge and how they can be developed [3,4]. Together, self-assessment and reflection are integral to developing competence as part of continued professional development [5].
The development of the SAT was detailed in a previous study [6]. The SAT is available as a standalone resource or as a non-compulsory precursor to the RCGP online eModule entitled “Antibiotic Resistance in Primary Care” (www.elearning.rcgp.org.uk). The eModule and SAT were originally made available to all who wished to access them; however, since February 2019 access to the eModule has been restricted to RCGP members only, but the standalone SAT on the TARGET website is still freely available. The SAT data were previously analysed from November 2014 to June 2016 from 1415 primary care clinicians from the UK [6]. The aim of this study is to present the most recent data collected from the SAT and provide a comparison with the previous findings to understand how AMS practice in primary care may have changed over time.

2. Results

In total, 2495 SATs were completed between July 2016 and September 2019 via the eModule Antibiotic Resistance in Primary Care (https://elearning.rcgp.org.uk/course/info.php?popup=0&id=167). Of those, 2111 (92%) were single responses, and 384 (15%) were second or third responses from the same 178 users. Of the 384 duplicates, responses were removed if they were given within a four-week period and the same responses were provided or if the duplicate response was incomplete. Finally, 262 duplicates were deemed to be legitimate. Therefore, 2373 responses were analysed.
Of the 2373 participants, 90.8% (2155) were based in a general practitioner (GP) practice, 4.3% (102) were based in ‘other’ locations, 2.4% (58) in out-of-hours (OOH) services, 2.4% (56) in hospital, one individual was based in a dental practice and one did not identify his/her profession.
Most respondents were GPs (1891, 79.7%), 11.3% (267) were nurses, 3.3% (78) pharmacists and 5.6% (134) reported ‘other’ as their job title; 70.9% (1683) were members of the RCGP, whereas 29.1% (690) were non-members.
Across the UK, 196 English Clinical Commissioning Groups (CCGs), 4 northern Irish health boards, 12 Scottish health boards and all 7 Welsh health boards were represented in the responses. The mean response per CCG or health board was 11 and ranged from 1 to 267.

2.1. What Would be Good Practice Now

Fifty-seven percent of respondents answered positively to all five questions in this section (Figure 1). Almost all respondents reported using national or local antibiotic guidance when considering how to treat common infections (98.8%, 2345). Seventy-three percent (1736) reported analysing and discussing antibiotic prescribing in their practice in comparison to local indicators at least once a year; nurses had higher odds of doing this compared to GPs (OR = 9.95, CI = 2.34–42.3).
Ninety-four percent (2238) of respondents reported using patient-focused strategies to highlight the importance of responsible antibiotic use, such as the use of videos and posters. Those who worked in hospitals, OOH and ‘other’ settings had lower odds of using such strategies than those in GP practices, although this was not significant for hospitals or OOH settings.
Ninety-eight percent (2329) of respondents reported being involved in a practice antibiotic audit in the last two years; of those, 57.4% (1362) had done so in the last year. Those working in ‘other’ settings and OOH had a higher propensity to be involved in an antibiotic audit in the last two years in comparison to those in GP practices, (coefficient = 0.94, CI = 0.22–1.66) (coefficient =1.35, CI = 0.45–2.24). Similarly, GPs had significantly lower propensity of having conducted an audit in the last two years compared to nurses and ‘other’ professionals (coefficient = 0.74, CI = 0.28–1.20), (coefficient = 1.90, CI = 1.49–3.77). Seventy-nine percent (1891) of respondents reported using clinical indications for antibiotics according to Read codes or SNOMED codes (which support detailed clinical encoding of patient phenomena such as signs and symptoms, diagnosis, treatment and patient demographics). Those working in OOHs (OR = 0.37, CI = 0.16–0.83), and other locations (OR = 0.28, CI = 0.13–0.62), had significantly lower odds of recording clinical indications for prescribed antibiotics compared to those working in GP practices.
These findings are illustrated by the following quotes taken from the reflective notes in question 4 and question 7:
Current practice: “Use of delayed antibiotics, educating patients on resistance, discussing in clinical meeting, having self-care leaflets, audit use of antibiotics, educating trainees on antibiotics” GP, Sandwell and West Birmingham CCG.
Current practice: “We ensure our doctors are aware regarding current prescribing guidance—specifically antibiotic resistance—and avoid prescribing broad-range antibiotics. We audit prescribing for various conditions…We use posters and patient info leaflets regarding unnecessary and harmful antibiotic prescribing “GP, Ealing CCG.
Clinical coding: “Although I always read-code a diagnosis, I don’t necessarily record it correctly” GP, East Leicestershire and Rutland CCG.

2.2. What Most Practices Should Aim to Do Soon

Just over half of the respondents (55.1%, 1308) reported that the latest antibiotic guidance was available to all temporary prescribers in their setting, although 23.3% (553) did not know. Nurses (OR = 2.39, CI = 1.32–4.34) and ‘others’ (OR = 4.27, CI = 1.49–12.2) had significantly higher odds of answering yes to this question compared to GPs.
Seventy-three percent (1739) of respondents reported using back-up antibiotics weekly, 11.9% (283) reported using them monthly, 14.4% (344) yearly, and less than 1% did not use or did not agree with back-up antibiotics. Hospital workers were significantly more likely than GPs to not use or not agree with using back-up antibiotics than to use them weekly (coefficient = 3.12, CI = 1.05–5.18). In contrast, nurses, pharmacists and ‘others’ were more likely to use back-up antibiotics.
A large proportion of respondents (68.9%, 1637) reported not having easily available leaflets to share in consultations, 29.4% (698) reported having hard copies and only 1.4% (33) reported having computer prompts. ‘Other’ settings, OOH and hospital settings were significantly more likely to have hard copies available than none at all, and ‘other’ professions had a significantly higher propensity to have hard copies available than none at all. For a visual summary of responses for this section, see Figure 2.
These findings are illustrated by the following quotes taken from the reflective notes in question 11:
Intention to use patient-facing leaflets: “Don’t use patient leaflets at present, will start using ‘Treating your infection’ leaflet personally in consultations.” GP, Cwm Taf Health Board.
Practice action planning: “Our action plan at the last meeting was … to increase delayed prescribing and also give Public Health England “treating your infection” letters to patients and audit this activity.” GP, Sheffield CCG.

2.3. What All Antibiotic-Aware Practices Should Be Doing

Most respondents (81.0%, 1923) reported keeping a written record and surgery action plan resulting from antibiotic audits. Those who worked in ‘other’ locations had significantly lower odds of keeping written records and a surgery action plan compared to those in a GP practice (OR = 0.43, CI = 0.26–0.73). Under half of the respondents (44.7%, 1061) reported having a strategy to avoid patients reconsulting with other clinicians to obtain antibiotics. Only 37% of respondents (875) reported undertaking an antibiotic-related prescribing clinical course. For a visual summary of this section, see Figure 3.
The final question, which asked respondents if their practice had a GP or nurse AMS lead, was added in April 2019, and only received 90 responses in total; of those, 53 answers were yes, and 37 were no.
These findings are illustrated by the following quotes taken from the reflective notes in question 16:
Participant attended local courses: “Although I have not done an RCGP course, I have attended several meetings organised by the CCG where local Consultant Microbiologists have discussed management of RTI (respiratory tract infections) and UTI (urinary tract infections)” GP, Sandwell and West Birmingham CCG.
Clinical course would be beneficial: “I identify antibiotic prescribing as a huge component of my daily practice and feel that completing the suggested clinical courses online and also considering local strategy based on audit to avoid patient reconsulting with other clinicians will improve the surgery’s and my own prescribing outcomes” GP, Surrey Downs CCG.

2.4. Comparison with 2014–2016 Data

Previous SAT data (November 2014 to June 2016) [6] compared with the data in this present study (June 2016–September 2019) can be seen in Table 1. Comparisons indicate that 98% of respondents reported using antibiotic guidance across both data sets. There was a small increase to 80% of respondents reporting using clinical indications and to 73% of respondents reporting analysing and discussing antibiotic prescribing in their practice.
Almost all respondents (99%) used back-up prescribing, compared to 94% in earlier data; the current data indicate that 73% were using back-up antibiotics weekly, and about 15% were only using them yearly. The current data indicate a 5% decrease, down to 55%, in reporting that the latest antibiotic guidance was made available to all temporary prescribers. There was a doubling of respondents reporting a practice antibiotic audit in the last two years, corresponding to 98%. There was a 23% and a 19% respective increase of respondents reporting using patient-focused strategies such as posters and videos (corresponding to 94%) and a written record and surgery action plan resulting from audits (corresponding to 81%).
Less than half (45%) of the respondents reported having a strategy to avoid patients reconsulting to obtain antibiotics, compared to the previously observed 33%. Thirty-seven percent of respondents reported undertaking antibiotic-related prescribing courses (previously, 29%).
Answers to question 10 about patient information leaflets cannot be compared to the previous data, as the question changed focus from ‘if leaflets were used’, to ‘if leaflets are easily available’. This does, however, highlight that over half of the respondents initially reported regularly using leaflets, but nearly 70% of them in the present study reported that leaflets were not easily available.

3. Discussion

3.1. Summary of the Findings

Many clinicians from across the UK reportedly engaged in positive AMS practice such as using antibiotic guidance to inform treatment decisions, discussing antibiotic prescribing within the practice, using patient-facing resources, conducting antibiotic-prescribing audits, keeping written records and action plans, using back-up prescribing and using clinical coding.
Areas with scope for improvement include developing strategies to help patients avoid reconsulting to obtain antibiotics, as fewer than half of the responded reported this. Nearly two-thirds of the respondents had not undertaken any antibiotic-related learning course in the last two years. Additionally, ensuring all temporary prescribers have access to antibiotic guidance could be improved, as nearly half of them reported that the guidance was not made available or they did not know about it. Similarly, having easily available patient information leaflets in consultations was reportedly low.

3.2. Comparison with Existing Literature

A comparison with previous data [6] shows that the use of antibiotic guidance, the use of clinical indications and discussions around antibiotic prescribing are consistently frequent. The high rates of reported guidance use could be due to local implementation efforts by CCG medicines management teams in England. According to a survey of CCGs, 83% of participants reported using national guidance to develop local prescribing guidelines, with most using multiple formats for promotion, including intranet platforms, websites and clinical systems [7]. Furthermore, the same survey found that all CCGs reportedly fed back local and/or national antimicrobial prescribing data to general practices, which may help facilitate antibiotic-prescribing discussions [8].
The present data indicate that 26.4% of respondents were using back-up prescribing only monthly or yearly, rather than weekly; therefore, interventions are needed if the NHSI wishes to maximise the use of back-up antibiotics. Nevertheless, three-quarters of the respondents reported using back-up prescribing weekly, as suggested by national guidance [9,10] and promoted locally by CCGs. In a CCG survey, 95% of participants reported promoting the use of back-up prescribing in their localities, [7] and national guidance recommends using a ‘no’ or ‘delayed’ strategy for self-limiting upper respiratory infections and mild urinary infections [11,12,13].
Only 55% of participants reported making the latest antibiotic guidance available to all temporary prescribers. This persistent low compliance with National Institute for Health and Care Excellence (NICE) guidance [10] highlights the need to facilitate access to the latest guidance for temporary prescribers, to ensure appropriate diagnosis and treatment in primary care. This is particularly important, as locums make up approximately 30% of fully licensed and registered GPs. Further research is needed to establish the preferred format of guidance for temporary prescribers.
The biggest improvement observed since the previous survey is in the use of antibiotic-prescribing audits. Further improvements can be seen in the use of patient-focused strategies and keeping a written record and surgery action plan as a result of audits. Audits combined with action planning have been shown to effectively improve practice [14]. In a survey of CCGs, 81% of participants reported undertaking AMS audits, 59% of which were reportedly carried out by practice staff. A further 89% of CCGs reported discussing the audit findings in GP practices [15]. Additionally, 94% of CCGs reported promoting AMS posters, and 58% reported promoting AMS videos [15]. Therefore, local action from CCGs may be driving the high use of audits, posters and videos and subsequent practice discussions around antibiotic prescribing.
Despite the improvements in the reported strategies to avoid patients reconsulting to obtain antibiotics and conducting further AMS-related learning, these activities were still relatively infrequent compared to other AMS activities. A possible explanation for the lack of engagement with antibiotic courses could be lack of awareness, as only 25% of CCGs in 2017 reported the use of compulsory antimicrobial stewardship/resistancelearning as part of their incentive schemes [15].
Despite CCGs promoting leaflet use [8] and some integrating them into GP systems, our findings show that GPs do not find leaflets easily accessible. This may reflect the increasing popularity of signposting to information portals and websites [16] or may suggest a lack of communication between CCGs and general practices on this matter, but more research is needed to understand the barriers to the implementation of patient leaflets.

3.3. Strengths and Limitations

The participants for this study were self-selected, as they participated in the TARGET online module ‘Antibiotic Resistance in Primary Care’. The respondents were therefore likely to have an interest in AMS and demonstrate more AMS behaviours compared to a random sample of primary care clinicians. Nevertheless, this study reports from a large sample of 2373 respondents, which accounts for over 5% of GPs in the UK.
A growing body of literature suggests that self-assessment is a flawed method for facilitating learning [17,18,19,20]. However, many studies that report flaws in self-assessment tend to use self-efficacy or perceptions of competence as the measure for self-assessing [2,20], whereas this present study uses self-reported AMS behaviour. One of the theories to explain why self-assessment is flawed is the ‘above-average effect’, whereby individuals assume that they are above average compared to others and therefore tend to assess themselves more favourably [21]. Nevertheless, self-reported behaviour too can be an unreliable objective measure of competence [22]. Therefore, the results from this study should be accepted with caution; however, the large negative responses for questions around antibiotic learning courses, patient information leaflets and strategies to avoid patients reconsulting do provide some reassurance that respondents were sincere.
The nature of the SAT is that it is designed as a learning tool for primary care clinicians, therefore any demographic questions superfluous to the learning experience are not included. For example, it would have been useful for research and data collection purposes to have probing closed questions around the nature of antibiotic audits and action plans, but this information was only collected in the reflective comments, which provide some insight, though not all respondents completed them or provided sufficient details.

3.4. Implications for Research and Practice

All participants for this study were UK-based; therefore, it is inappropriate to draw implications for AMS practices in other countries which have different health services and cultures influencing clinician behaviours. Other countries may wish to implement a similar AMS benchmarking tool which can simultaneously act as a learning tool for clinicians and an electronic method of data collection to inform intervention development. Whilst there are limitations associated with the data, the fact that the SAT is first and foremost learning tool for clinicians likely facilitates its widespread adoption. In future, for research purposes such as this, the SAT may benefit from the undergoing evaluation of its validity and reliability to ensure that the questions are measuring what it is hoped to measure [23].
The NICE advocates the use of a no or back-up prescribing for many common respiratory tract infections, and therefore primary care clinicians could increase their back-up antibiotic prescribing for these infections [9,10]. Some clinicians may be reluctant to use back-up prescribing strategies due to beliefs that they can cause further inconveniences to the patient and the clinician if a reconsultation is needed, concern that patients may find the instructions confusing, or concern that back-up prescriptions convey a contradictory message to the patients [24]. Resources to encourage the use of delayed prescribing can be found on the TARGET website, including a dedicated webinar and patient information leaflets [1]. The infection-related educational courses [25] should also receive greater promotion, and commissioners should also consider local shared-infection-related learning activities or workshops through Primary Care networks to increase the numbers of clinicians reporting recent learning around AMS.
Practice managers, AMS leads or practice clinical leads need to ensure that temporary prescribers have access to the latest diagnostic and treatment guidance when visiting their practice, make patient information leaflets readily available to ensure their use and develop a practice-wide strategy to avoid patients reconsulting to obtain antibiotics.
Further quantitative research using a large randomised sample is needed to corroborate and strengthen these findings, alongside qualitative research to understand the barriers to and facilitators of these behaviours in order to develop interventions to facilitate AMS. Further studies should directly measure the use of back-up antibiotics, posters and leaflets and the effect of some of these AMS activities on outcomes, such as antibiotic use.

4. Materials and Methods

Participants starting the RCGP eLearning module ‘Antibiotic resistance in primary care’ are required to complete the SAT digitally on the RCGP website prior to beginning the module. The RCGP eLearning team collated and anonymised the data from June 2016 to September 2019 and provided the data to the research team in a Microsoft Excel document.
Data were cleaned to remove test entries, half attempts and subsequent attempts within short time periods. A descriptive analysis was conducted in Microsoft Excel in order to compare the current data with previous data; mixed effects statistical regressions with Clinical Care commissioning Group (CCG) as upper level and respondent as lower level random effects, or just the CCG as random effect, as appropriate, and profession and workplace as fixed effects were conducted in Stata version 15. For the regression analyses, for the questions where the outcome was binary, logistic regression was used, whereas multinomial regression was used for those questions with more than two choices. Statistical significance was ascertained by means of the likelihood ratio test, with 5% taken as the significance level. Odds ratios (ORs) for the binary response questions and coefficients (coeffs) otherwise, together with their 95% confidence intervals (CIs), were obtained and are quoted in the results; full tables can be found in Appendix B. Due to the low response for question 15, this was not included in the statistical analysis.
Ethical approval was not required, as this was a service evaluation and all responses were anonymised by the RCGP by removing email addresses and any identifiable information.

5. Conclusions

Lack of a randomised sample limits the data; however, the findings offer a unique insight into the self-reported AMS behaviours in primary care and suggestions for ways to optimize AMS. It is reassuring to see that in the last three years, attention to AMS activities has not waned and, in many areas, has increased.
All practices should ensure that temporary prescribers have access to patient information leaflets and the latest diagnostic and treatment guidance and should develop a practice-wide strategy to avoid patients reconsulting to obtain antibiotics. Primary care clinicians should be issuing back-up antibiotic prescriptions more often and attend antibiotic-related prescribing courses. The SAT could be used by clinicians and CCGs to assess AMS in their practice or area. The SAT could be adapted to be used in other clinical settings and countries.

Author Contributions

Conceptualization, C.M.; methodology, L.F.J. and N.Q.V.; formal analysis, L.F.J. and N.Q.V.; data curation, S.A. and D.P.; writing—original draft preparation, L.F.J.; writing—review and editing, L.F.J., D.M.L. and C.M.; supervision, C.M.; project administration, L.F.J.; module development, C.M.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

Thank you to all clinicians who completed the SAT and the TARGET antibiotics eLearning module at the RCGP’s Online Learning Environment.

Conflicts of Interest

Cliodna McNulty, Leah Jones and Donna Lecky work on the TARGET Antibiotics programme at Public Health England.

Appendix A

Figure A1. Screen shot of the self-assessment tool questions.
Figure A1. Screen shot of the self-assessment tool questions.
Antibiotics 09 00253 g0a1

Appendix B

Table A1. Binary outcome questions.
Table A1. Binary outcome questions.
QuestionVariableCategoriesQuestion ResponseOR95% CIp-Value
NoYes
Do you use antibiotic guidanceWorkplaceGP practice
Hospital
OOH
Dental practice
Other
23
1
0
0
4
2132
55
58
1
98
1.00
0.70
n.e.
n.e.
0.33
0.08, 6.27
n.e.
n.e.
0.08, 1.27
0.15
ProfessionGP
Nurse
Pharmacist
Other
21
2
3
2
1870
265
75
132
1.00
2.07
0.42
1.08
0.43, 9.95
0.10, 1.82
0.21, 5.48
0.3
Do you discuss antibiotic prescribingWorkplaceGP practice
Hospital
OOH
Dental practice
Other
116
3
4
0
5
1592
43
40
0
60
1.00
0.96
0.70
n.e.
0.55
0.26, 3.59
0.23, 2.13
n.e.
0.19, 1.60
0.7
ProfessionGP
Nurse
Pharmacist
Other
115
2
2
9
1387
203
53
90
1.00
9.95
2.70
0.91
2.34, 42.3
0.61, 12.0
0.41, 2.00
<0.001
Do you use patient focused strategiesWorkplaceGP practice
Hospital
OOH
Dental practice
Other
90
17
7
0
20
2065
39
51
1
82
1.00
0.21
0.38
n.e.
0.35
0.10, 0.43
0.16, 0.91
n.e.
0.19, 0.66
<0.001
ProfessionGP
Nurse
Pharmacist
Other
65
29
13
27
1826
238
65
107
1.00
0.38
0.25
0.23
0.23, 0.62
0.12, 0.52
0.13, 0.40
<0.001
Do you usually record clinical indication for antibiotic prescribedWorkplaceGP practice
Hospital
OOH
Dental practice
Other
410
12
21
0
38
1745
44
37
1
64
1.00
0.93
0.37
n.e.
0.28
0.39, 2.20
0.16, 0.83
n.e.
0.13, 0.62
<0.001
ProfessionGP
Nurse
Pharmacist
Other
381
51
13
36
1510
216
65
98
1.00
1.39
1.85
0.81
0.89, 2.19
0.79, 4.33
0.47, 1.40
0.14
Is the latest antibiotic guidance made availableWorkplaceGP practice
Hospital
OOH
Dental practice
Other
477
9
10
0
16
1225
26
18
0
38
1.00
0.99
0.63
n.e.
0.66
0.35, 2.85
0.21, 1.84
n.e.
0.28, 1.53
0.7
ProfessionGP
Nurse
Pharmacist
Other
453
38
13
8
1056
149
40
60
1.00
2.39
1.80
4.27
1.32, 4.34
0.77, 4.23
1.49, 12.2
<0.001
Do you keep a written recordWorkplaceGP practice
Hospital
OOH
Dental practice
Other
356
16
15
0
32
1773
37
41
1
70
1.00
0.51
0.61
n.e.
0.43
0.26, 1.01
0.32, 1.15
n.e.
0.26, 0.73
0.001
ProfessionGP
Nurse
Pharmacist
Other
336
36
13
34
1535
228
65
92
1.00
1.72
1.61
0.77
1.14, 2.60
0.82, 3.16
0.48, 1.23
0.01
Do you have a strategy to avoid patient reconsultingWorkplaceGP practice
Hospital
OOH
Dental practice
Other
1167
38
39
1
66
988
18
19
0
36
1.00
0.39
0.56
n.e.
0.48
0.14, 1.07
0.23, 1.40
n.e.
0.22, 1.04
0.08
ProfessionGP
Nurse
Pharmacist
Other
1057
146
40
68
834
121
38
66
1.00
1.22
1.85
1.94
0.77, 1.92
0.84, 4.10
1.03, 3.66
0.09
Have you undertaken any antibiotic-related coursesWorkplaceGP practice
Hospital
OOH
Dental practice
Other
1357
38
29
1
73
798
18
29
0
29
1.00
1.01
2.32
n.e.
0.69
0.45, 2.25
1.11, 4.86
n.e.
0.37, 1.30
0.09
ProfessionGP
Nurse
Pharmacist
Other
1167
183
52
96
724
84
26
38
1.00
0.72
0.92
0.62
0.48, 1.07
0.48, 1.77
0.36, 1.08
0.15
n.e. not estimable.
Table A2. Associations for the multi-category outcome question of “Have you been involved in an antibiotic audit”.
Table A2. Associations for the multi-category outcome question of “Have you been involved in an antibiotic audit”.
VariableCategoriesQuestion Responsep-Value
Yes in Last 2 YearsNo
Coeff.95% CICoeff.95% CI
WorkplaceGP practice
Hospital
OOH
Dental practice
Other
0.00
0.20
1.35
19.2
0.94
−0.67, 1.08
0.45, 2.24
n.e.
0.22, 1.66
0.00
0.20
0.78
−1.01

−0.09
−1.52, 1.93
−1.38, 2.94
n.e.
−2.23, 2.05
0.01
ProfessionGP
Nurse
Pharmacist
Other
0.00
0.74
−0.41
1.90
0.28, 1.20
−1.13, 0.30
1.09, 2.71
0.00
0.09
−19.2
2.63
−1.17, 1.35
n.e.
1.49, 3.77
<0.001
n.e. not estimable.
Table A3. Associations for the multi-category outcome question of “Do you have infection leaflets easily available”.
Table A3. Associations for the multi-category outcome question of “Do you have infection leaflets easily available”.
VariableCategoriesQuestion Responsep-Value
Yes, ComputerNoOther
Coeff.95% CICoeff.95% CICoeff.95% CI
WorkplaceGP practice
Hospital
OOH
Dental practice
Other
0.00
0.35
−19.4
−19.6
−19.3
−1.32, 2.03
n.e.
n.e.
n.e.
0.00
−0.91
−0.82
−19.4
−1.37
−1.68, −0.14
−1.51, −0.13
n.e.
−2.06, −0.69
0.00
2.08
2.21
−1.57
−18.0
−0.73, 4.88
−0.13, 4.56
n.e.
n.e.
<0.001
ProfessionGP
Nurse
Pharmacist
Other
0.00
0.30
−17.8
0.13
−0.82, 1.41
n.e.
−1.23, 1.49
0.00
0.11
1.00
−0.48
−0.25, 0.48
0.26, 1.74
−0.97, 0.02
0.00
−17.7
−17.0
0.19
n.e.
n.e.
−2.51, 2.90
0.02
n.e. not estimable.
Table A4. Associations for the multi-category outcome question of “Do you use back up/delayed antibiotics prescribing”.
Table A4. Associations for the multi-category outcome question of “Do you use back up/delayed antibiotics prescribing”.
VariableCategoriesQuestion Responsep-Value
MonthlyYearlyNo or Don’t Agree
Coeff.95% CICoeff.95% CICoeff.95% CI
WorkplaceGP practice
Hospital
OOH
Dental practice
Other
0.00
0.41
0.75
0.46
0.99
−0.54, 1.36
0.01, 1.49
n.e.
0.32, 1.66
0.00
0.59
1.09
22.5
1.15
−0.10, 1.28
0.45, 1.74
n.e.
0.63, 1.68
0.00
3.12
−18.3
18.6
2.69
1.05, 5.18
n.e.
n.e.
0.31, 5.06
<0.001
ProfessionGP
Nurse
Pharmacist
Other
0.00
−0.54
−0.71
−0.51
−1.04, −0.04
−1.62, 0.19
−1.29, 0.27
0.00
0.48
0.55
1.60
0.11, 0.86
−0.05, 1.15
1.17, 2.03
0.00
−18.2
−18.3
0.78
n.e.
n.e.
−1.24, 2.79
<0.001
n.e. not estimable.

References

  1. Public Health England the TARGET Antibiotics Toolkit. Available online: http://www.rcgp.org.uk/targetantibiotics (accessed on 22 October 2018).
  2. Boud, D. Avoiding the traps: Seeking good practice in the use of self assessment and reflection in professional courses. Soc. Work Educ. 1999, 18, 121–132. [Google Scholar] [CrossRef]
  3. McMillan, J.H.; Hearn, J. Student self-assessment: The key to stronger student motivation and higher achievement. Educ. Horiz. 2008, 87, 40–49. [Google Scholar]
  4. Williams, B. Developing critical reflection for professional practice through problem-based learning. J. Adv. Nurs. 2001, 34, 27–34. [Google Scholar] [CrossRef] [PubMed]
  5. Royal College of General Practitioners Continuing Professional Development. Available online: https://www.rcgp.org.uk/training-exams/practice/revalidation/mythbusters-appraisal-and-revalidation/continuing-professional-development.aspx (accessed on 7 February 2020).
  6. Owens, R.; Jones, L.F.; Moore, M.; Pilat, D.; McNulty, C. Self-Assessment of Antimicrobial Stewardship in Primary Care: Self-Reported Practice Using the TARGET Primary Care Self-Assessment Tool. Antibiotics 2017, 6, 16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Allison, R.; Lecky, D.; Beech, E.; Ashiru-Oredope, D.; Costelloe, C.; Owens, R.; McNulty, C.A.M. Local implementation of national guidance on management of common infections in primary care in England: Findings of a mixed-methods national questionnaire. Pharm. J. 2020. [Google Scholar] [CrossRef] [Green Version]
  8. Allison, R.; Lecky, D.; Beech, E.; Ashiru-Oredope, D.; Costelloe, C.; Owens, R.; McNulty, C. What resources do NHS commissioning organisations use to support antimicrobial stewardship in primary care in England? Antibiotics 2020, 9, 158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. National Institute for Health and Care Excellence. Antimicrobial Stewardship: Changing Risk-related Behaviours in the General Population; National Institute for Health and Care Excellence: London, UK, 2017; Available online: https://www.nice.org.uk/guidance/ng63 (accessed on 7 February 2020).
  10. Public Health England. Summary of Antimicrobial Prescribing Guidance–Managing Common Infections; Public Health England: London, UK, 2020.
  11. Public Health England. Management of Infection Guidance for Primary Care for Consultation and Local Adaptation; Public Health England: London, UK, 2017.
  12. National Institute for Health and Care Excellence. Urinary Tract Infections in Adults; National Institute for Health and Care Excellence: London, UK, 2015. [Google Scholar]
  13. National Institute for Health and Care Excellence. Respiritory Tract Infections (Self-Limitting): Prescribing Antibiotics; National Institute for Health and Care Excellence: London, UK, 2008. [Google Scholar]
  14. Ivers, N.; Jamtvedt, G.; Flottorp, S.; Young, J.M.; Odgaard-Jensen, J.; French, S.D.; O’Brien, M.A.; Johansen, M.; Grimshaw, J.; Oxman, A.D. Audit and feedback: Effects on professional practice and healthcare outcomes. Cochrane Database Syst. Rev. 2012. [Google Scholar] [CrossRef] [PubMed]
  15. Allison, R.; Lecky, D.; Beech, E.; Costelloe, C.; Ashiru-Oredope, D.; Owens, R.; McNulty, C. What antimicrobial stewardship strategies do NHS commissioning organisations implement in primary care in England? J. Antimicrob. Chemother. 2020, in press. [Google Scholar]
  16. Colledge, A.; Car, J.; Donnelly, A.; Majeed, A. Health information for patients: Time to look beyond patient information leaflets. J. R. Soc. Med. 2008, 101, 447–453. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Asadoorian, J.; Batty, H.P. An evidence-based model of effective self-assessment for directing professional learning. J. Dent. Educ. 2005, 69, 1315–1323. [Google Scholar] [PubMed]
  18. Austin, Z.; Gregory, P.A.M. Evaluating the accuracy of pharmacy students’ self-assessment skills. Am. J. Pharm. Educ. 2007, 71, 1–8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Baxter, P.; Norman, G. Self-assessment or self deception? A lack of association between nursing students’ self-assessment and performance. J. Adv. Nurs. 2011, 67, 2406–2413. [Google Scholar] [CrossRef] [PubMed]
  20. Davis, D.A.; Mazmanian, P.E.; Fordis, M.; Van Harrison, R.; Thorpe, K.E.; Perrier, L. Accuracy of physician self-assessment compared with observed measures of competence: A systematic review. J. Am. Med. Assoc. 2006, 296, 1094–1102. [Google Scholar] [CrossRef] [PubMed]
  21. Kruger, J. Lake Wobegon be gone! The “below-average effect” and the egocentric nature of comparative ability judgments. J. Pers. Soc. Psychol. 1999, 77, 221–232. [Google Scholar] [CrossRef] [PubMed]
  22. Jenner, E.A.; Fletcher, B.; Watson, P.; Jones, F.A.; Miller, L.; Scott, G.M. Discrepancy between self-reported and observed hand hygiene behaviour in healthcare professionals. J. Hosp. Infect. 2006, 63, 418–422. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Bailey, C.; Tully, M.; Cooke, J. An investigation into the content validity of the Antimicrobial Self-Assessment Toolkit for NHS Trusts (ASAT v15a) using cognitive interviews with antimicrobial pharmacists. J. Clin. Pharm. Ther. 2015, 40, 208–212. [Google Scholar] [CrossRef] [PubMed]
  24. Ryves, R.; Eyles, C.; Moore, M.; McDermott, L.; Little, P.; Leydon, G.M. Understanding the delayed prescribing of antibiotics for respiratory tract infection in primary care: A qualitative analysis. BMJ Open 2016, 6, e011882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Brooks, A.J.; Chen, M.-K.; Goldblatt, E.; Klatt, M.; Kligler, B.; Koithan, M.S.; Kreitzer, M.J.; Lee, J.K.; Lopez, A.M.; Maizes, V.; et al. Introducing integrative primary health care to an interprofessional audience: Feasibility and impact of an asynchronous online course. EXPLORE 2019. [Google Scholar] [CrossRef] [PubMed]
Figure 1. What Would be Good Practice Now.
Figure 1. What Would be Good Practice Now.
Antibiotics 09 00253 g001
Figure 2. What Most Practices Should Aim to do Soon.
Figure 2. What Most Practices Should Aim to do Soon.
Antibiotics 09 00253 g002
Figure 3. What all antibiotic-aware practices should be doing.
Figure 3. What all antibiotic-aware practices should be doing.
Antibiotics 09 00253 g003
Table 1. A comparison of 2014–2016 data to 2016–2019 data, excluding reflective questions and questions 10 and 15. RCGP: Royal College of General Practitioners, UTIs: urinary tract infections.
Table 1. A comparison of 2014–2016 data to 2016–2019 data, excluding reflective questions and questions 10 and 15. RCGP: Royal College of General Practitioners, UTIs: urinary tract infections.
NumberQuestionNovember 2014–June 2016July 2016–September 2019Percentage Change
1Do you use national or local antibiotic guidance when considering how to treat common infections?98%98%No change
2Do you analyse and discuss antibiotic prescribing at your practice in comparison to local indicators at least once a year?67%73%6% increase
3Do you use patient-focused strategies to highlight the importance of responsible antibiotic use? For example, videos and posters in clinical and waiting areas.71%94%23% increase
5Have you been involved in a practice antibiotic audit in the last two years?45%98%53% increase
6Do you usually record clinical indications for prescribed antibiotics in patient notes using Read codes or Snomed codes?75%80%5% increase
8Is the latest antibiotic guidance made available to all temporary prescribers working in your surgery?63%55%8% decrease
9Do you use back-up/delayed prescribing?94%99%5% increase
12Do you keep a written record and surgery action plan resulting from antibiotic audits?62%81%19% increase
13Do you have a strategy to avoid patients reconsulting with other clinicians to obtain antibiotics?33%45%12% increase
14Have you undertaken any antibiotic-related prescribing clinician courses, for example the TARGET webinars, ‘managing acute respiratory tract infections’ and ‘managing UTIs elearning courses on the RCGP online learning environment within the past two years?29%37%8% increase

Share and Cite

MDPI and ACS Style

Jones, L.F.; Verlander, N.Q.; Lecky, D.M.; Altaf, S.; Pilat, D.; McNulty, C. Self-Reported Antimicrobial Stewardship Practices in Primary Care Using the TARGET Antibiotics Self-Assessment Tool. Antibiotics 2020, 9, 253. https://0-doi-org.brum.beds.ac.uk/10.3390/antibiotics9050253

AMA Style

Jones LF, Verlander NQ, Lecky DM, Altaf S, Pilat D, McNulty C. Self-Reported Antimicrobial Stewardship Practices in Primary Care Using the TARGET Antibiotics Self-Assessment Tool. Antibiotics. 2020; 9(5):253. https://0-doi-org.brum.beds.ac.uk/10.3390/antibiotics9050253

Chicago/Turabian Style

Jones, Leah Ffion, Neville Quinton Verlander, Donna Marie Lecky, Sabeen Altaf, Dirk Pilat, and Cliodna McNulty. 2020. "Self-Reported Antimicrobial Stewardship Practices in Primary Care Using the TARGET Antibiotics Self-Assessment Tool" Antibiotics 9, no. 5: 253. https://0-doi-org.brum.beds.ac.uk/10.3390/antibiotics9050253

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop