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Australia-wide point prevalence survey of the use and appropriateness of antimicrobial prescribing for children in hospital

Joshua Osowicki, Amanda Gwee, Jesuina Noronha, Pamela Palasanthiran, Brendan McMullan, Philip N Britton, David Isaacs, Tony Lai, Clare Nourse, Minyon Avent, Paul Moriarty, Julia Clark, Joshua R Francis, Christopher C Blyth, Celia M Cooper and Penelope A Bryant
Med J Aust 2014; 201 (11): 657-662. || doi: 10.5694/mja13.00154
Published online: 24 November 2014

Abstract

Objectives: To describe antimicrobial use in hospitalised Australian children and to analyse the appropriateness of this antimicrobial use.

Design: Multicentre single-day hospital-wide point prevalence survey, conducted in conjunction with the Antimicrobial Resistance and Prescribing in European Children study.

Setting: Eight children's hospitals across five Australian states, surveyed during late spring and early summer 2012.

Patients: Children and adolescents who were inpatients at 8 am on the day of the survey.

Main outcome measures: Quantity and quality of antimicrobial prescribing.

Results: Of 1373 patients, 631 (46%) were prescribed at least one antimicrobial agent, 198 (31%) of whom were < 1 year old. The highest antimicrobial prescribing rates were in haematology and oncology wards (76% [95/125]) and paediatric intensive care units (55% [44/80]). Of 1174 antimicrobial prescriptions, 550 (47%) were for community-acquired infections, 175 (15%) were for hospital-acquired infections and 437 (37%) were for prophylaxis. Empirical treatment accounted for 72% of antimicrobial prescriptions for community-acquired infections and 58% for hospital-acquired infections (395 and 102 prescriptions, respectively). A total of 915 prescriptions (78%) were for antibacterials; antifungals and antivirals were predominantly used for prophylaxis. The most commonly prescribed antibacterials were narrow-spectrum penicillins (18% [164 prescriptions]), β-lactam–β-lactamase inhibitor combinations (15% [136]) and aminoglycosides (14% [128]). Overall, 957 prescriptions (82%) were deemed appropriate, but this varied between hospitals (range, 66% [74/112]) to 95% [165/174]) and specialties (range, 65% [122/187] to 94% [204/217]). Among surgical patients, 65 of 187 antimicrobial prescriptions (35%) were deemed inappropriate, and a common reason for this was excessive prophylaxis duration.

Conclusion: A point prevalence survey is a useful cross-sectional method for quantifying antimicrobial use in paediatric populations. The value is significantly augmented by adding assessment of prescribing quality.

The threat of antimicrobial resistance and its impact on health care settings globally are well recognised, and a multifaceted and coordinated response is required.1-3 Antimicrobial use is the main driver of the development of resistance and, as such, advocacy for rational use of existing antimicrobial drugs — antimicrobial stewardship (AMS) — is vital for preventing the development of resistance.4,5 Very few new antimicrobials are in the drug discovery pipeline so ensuring that the right drug is prescribed in the right dose, via the right route and for the right duration is critical.6 In contrast, AMS interventions are readily available and have shown promise in delivering improvement in measures of process and outcome.7,8

Design and implementation of effective and efficient AMS interventions are reliant on data regarding current antimicrobial prescribing patterns. There is a paucity of such data for hospitalised children.9-11 We aimed to address this evidence gap by using a point prevalence survey (PPS) to describe antimicrobial use in hospitalised Australian children, analyse the appropriateness of this antimicrobial use and identify potential opportunities for quality improvement.

Methods

In conjunction with the Antibiotic Resistance and Prescribing in European Children (ARPEC) study,11 eight Australian paediatric hospitals across five states participated in a single-day hospital-wide PPS of antimicrobial prescribing in late spring and early summer 2012: the Royal Children's Hospital Melbourne (Victoria, 14 November 2012), Monash Children's Hospital (Victoria, 22 November 2012), Sydney Children's Hospital (New South Wales, 18 October 2012), Children's Hospital at Westmead (New South Wales, 6 December 2012), Mater Children's Hospital (Queensland, 15 November 2012), Royal Children's Hospital (Queensland, 15 November 2012), Women's and Children's Hospital (South Australia, 14 November 2012) and Princess Margaret Hospital for Children (Western Australia, 16 November 2012). Children and adolescents who were inpatients at 8 am on the day of the survey were included.

De-identified data were collected and entered on standardised data collection forms, which were submitted to the ARPEC web-based data-entry system. Institution and department was recorded for all patients. For those receiving antimicrobials (including antivirals), data on the following were also collected: age; sex; weight; comorbid conditions; antimicrobial drugs that were given (including dose, dosing interval, route of administration and duration of use); whether the indication for antimicrobial treatment was a community- or hospital-acquired infection (with the latter defined as symptoms starting > 48 hours after admission), or prophylaxis; and whether the antimicrobial treatment was empirical or targeted.

Appropriateness of antimicrobial prescribing was also assessed. At six hospitals, this was determined by two senior infectious diseases physicians and/or AMS pharmacists; at the other two hospitals, one clinician performed this role. Appropriateness was assessed on the basis of the clinical scenario, including microbiological findings, institutional antimicrobial resistance patterns, and institutional treatment guidelines, where available. Standardised terminology was applied to describe appropriateness (Box 1).

Where required, ethics approval was received from respective institutional human research ethics committees.

Results

Point prevalence survey

At the eight participating hospitals, the numbers of beds ranged from 120 to 300 and bed occupancy ranged from 62% to 98%. Of 1373 patients included in the study, 631 (46%) were prescribed at least one antimicrobial agent (Box 2), or 583 (42%) if topical agents (eg, orally administered, non-absorbed drugs such as oral nystatin) are not considered. Of the 631 patients receiving antimicrobials, 143 (23%) were < 3 months old and 198 (31%) were < 1 year old. The most common underlying conditions among those prescribed at least one antimicrobial were haematological and oncological conditions (17% [106 patients]), non-cardiac surgical diseases (13% [85]) and chronic neurological conditions including cerebral palsy (8% [51]).

The hospital units with the highest rates of antimicrobial prescribing were haematology and oncology wards and paediatric intensive care units (PICUs) (in which, overall, 76% [95/125] and 55% [44/80] of patients, respectively, were receiving ≥ 1 antimicrobial). Neonatal units had the most variation in rates of antimicrobial prescribing (range, 32% [21/65] to 96% [23/24]) (Appendix 1).

There were 1174 antimicrobial prescriptions: 550 (47%) for community-acquired infections, 175 (15%) for hospital-acquired infections, 437 (37%) for prophylaxis (for surgery or a medical condition), and 12 (1%) for indications that were not recorded. Empirical treatment accounted for 72% of prescriptions for community-acquired infections (395/550), but only 58% of prescriptions for hospital-acquired infections (102/175).

Of the 550 prescriptions for community-acquired infections, the commonest indications were lower respiratory tract infection (22% [122 prescriptions]), surgical infection (13% [71]) and sepsis (10% [57]). Of the 175 prescriptions for hospital-acquired infections, the commonest indications were sepsis (18% [32]), surgical infection (13% [22]), lower respiratory tract infection (12% [21]) and febrile neutropenia (12% [21]).

The number of antimicrobial prescriptions for all indications accounting for 50% of use when ranked by frequency of prescribing (DU50% [drug utilisation 50%]) was eight (Box 3). The number of antimicrobial prescriptions accounting for 90% of use (DU90%) was 27.

Of the 1174 prescriptions for antimicrobials, 915 (78%) were for antibacterials, of which most (72% [661 prescriptions]) were for treatment, as opposed to prophylaxis. There were 207 prescriptions for antifungals (18%) and 52 prescriptions for antivirals (4%), both used predominantly for prophylaxis (Appendix 2).

Of the 915 prescriptions for antibacterials, the three most commonly prescribed classes of antibacterials for all indications were: narrow-spectrum penicillins (penicillins V and G, aminopenicillins and antistaphylococcal penicillins; 18% [164 prescriptions]), β-lactam–β-lactamase inhibitor combinations (15% [136]) and aminoglycosides (14% [128]) (Box 4, Appendix 3, Appendix 4). Considering the 661 antibacterial prescriptions that were for treatment, the most commonly prescribed antibacterials were gentamicin (12% [77]), piperacillin–tazobactam (8% [54]), cefotaxime (8% [51]) and flucloxacillin (7% [48]). Only three of the antibacterial prescriptions were for topical agents.

Appropriateness of prescribing

Of the 631 patients receiving antimicrobials, 177 (28%) were receiving at least one prescription that was deemed to be inappropriate. Of the 1174 prescriptions, 957 (82%) were deemed appropriate. At individual hospitals, the proportion of prescriptions that were appropriate ranged from 66% (74/112) to 95% (165/174). Similar variation was observed between specialties (range, 65% [122/187] to 94% [204/217]) (Box 5). Of the 217 prescriptions deemed inappropriate, for more than one reason in some cases, 65 (30%) involved an inappropriate decision to use antimicrobials, 60 (28%) involved an inappropriate choice of antimicrobials, 73 (34%) involved an inappropriate application, and 32 (15%) lacked sufficient information to assess appropriateness.

The highest rate of prescriptions deemed inappropriate was in surgical patients. Of 131 surgical patients (21% of patients who received antimicrobials), 53 (40%) received at least one prescription deemed inappropriate, and this corresponded with 65 of 187 antimicrobial prescriptions for surgical patients (35%). Of these 65 prescriptions, 21 involved an inappropriate decision, usually to continue perioperative prophylaxis for longer than 24 hours, and 11 involved an inappropriate choice (Box 5).

Antimicrobial prescriptions that were deemed to diverge unnecessarily from antimicrobial guidelines or considered “too broad” included four of 18 prescriptions for carbapenem, seven of 48 for glycopeptides, seven of 93 for third-generation cephalosporins, two of 27 for fluoroquinolones and eight of 136 for β-lactam–β-lactamase inhibitor combinations.

Discussion

This is the first truly representative nationwide PPS in which every stand-alone children's hospital participated. Very few multicentre surveys have been undertaken in children9,11,12 and this is the second to incorporate an analysis of appropriateness of antimicrobial prescribing.12

The results confirm that antimicrobials are frequently prescribed to children in Australian paediatric hospitals. The overall rate of 46% is comparable to the average rate of 44% for hospitalised children in non-European countries and markedly higher than the average rate of 35% for hospitalised children in European countries.11 Our finding that about one-third of patients receiving antimicrobials were < 1 year old is similar to findings from other studies,9,11 and is related to the higher incidence of bacterial infection in this age group.

Consistent with other surveys of patients, the highest rates of antimicrobial use were in patients with haematological and oncological conditions (76%) and patients in PICUs (55%). Previous surveys in PICUs in the United States, Turkey and Italy have found that 51%–76% of patients were receiving antimicrobials.10,12-14 An ARPEC PPS showed similar rates for antibiotic use in PICUs (56%) and lower rates in haematology and oncology wards (61%).11 AMS intervention studies have focused on these settings and other clinical areas in which antimicrobial use is high.

The most common infections for which antimicrobials were prescribed in our study were similar to those reported in a similar survey in which data on diagnoses were collected.12 The relatively low rates of respiratory infection in our study are likely to reflect the time of year in which the data were collected — late spring and early summer, rather than winter. The limited detail beyond site of infection recorded in most surveys of adult inpatients limits attempts at meaningful comparisons.15-17

As evidenced by the DU90%, the range of antimicrobials used was wide. Gentamicin was the most commonly prescribed individual antibacterial agent, reflecting the use of aminoglycosides as first-line therapy in children. This contrasts with the trend in adult medicine, highlighting the importance of paediatric-specific studies. Third- and fourth-generation cephalosporin use, which has been recognised as a driver of resistance, was variable between hospitals, with the differences most likely related to differences in local empirical guidelines (Appendix 3). Low rates of vancomycin, clindamycin and linezolid use reflect the low rates of drug resistance among gram-positive organisms isolated from children at Australian paediatric hospitals.18

While a PPS is not adequately powered to determine statistical differences in prescribing patterns between hospitals, the variation between hospitals that we observed likely reflects differences in paediatric tertiary care in Australia, with intensive care, haematology, oncology, and specialty medical and surgical services asymmetrically distributed within cities and between states.4 Specialised services such as extracorporeal support, complex surgery for congenital cardiac conditions and haematopoietic stem-cell transplantation are further concentrated in very few hospitals nationwide. Other factors that are likely to have contributed to the variation include the paucity of evidence regarding antimicrobial prescribing for many childhood infections and different local patterns of antimicrobial resistance. The high proportion of empirical prescriptions may reflect difficulty in obtaining high-quality microbiological samples before prescribing antimicrobials in children and the low priority placed on ideal specimen collection in some contexts. These factors emphasise the need for specific paediatric guidelines for empirical antimicrobial treatment and for standards to guide timely collection of appropriate microbiological specimens.

In this study, as in everyday practice, appropriateness was determined by local clinicians (infectious diseases physicians and/or pharmacists) familiar with individual patient clinical and microbiological findings, local antimicrobial resistance patterns, institution-specific guidelines for empirical therapy and principles of AMS. Of the eight hospitals that participated, seven had guidelines for empirical treatment of common community-acquired infections of childhood against which appropriateness was judged.4 Overall, a high proportion (82%) of prescriptions were deemed appropriate. While 28% of patients received at least one inappropriately prescribed drug, this compared favourably with 47% of patients in the Turkish survey.12

While some of the variation in appropriateness between hospitals in our study (66%–95%) may represent differences in quality of prescribing, this is unlikely to be a major factor in tertiary children's hospitals throughout the same country. A single-day PPS is not designed to investigate alternative explanations such as differences in AMS resources (eg, different robustness of restricted drug approval systems) and differences in opinions of assessors. Although reporting was standardised in our study, even the clinicians who were experienced in AMS are likely to have differed in how they assessed appropriateness. In a PICU study, the proportion of antimicrobial prescriptions deemed appropriate varied depending on the assessor's specialty: intensivists judged 82% appropriate; infectious diseases physicians, 69%; and pharmacists, 45%.10 This may have been because of differences of opinion, or systematic bias in overestimating or underestimating appropriateness depending on differing agendas. In our study, no clear difference was found in the overall assessments between physicians and pharmacists (data not shown).

A PPS is not useful for assessing appropriateness of antimicrobial prescribing against a gold standard (which does not exist for paediatric infections) or for subgroup analyses (for which the format is inadequately powered). Rather, it is useful for identifying under-recognised areas of prescribing that do not meet AMS expectations. Therefore, of more use than differences between hospitals is the analysis between specialties across all hospitals, as this transcends potential individual bias. It is encouraging that haematology and oncology wards and PICUs, which had the highest rates of antimicrobial prescribing, had among the highest rates of appropriateness (83% and 82% of prescriptions, respectively [Box 5]) — a finding mirrored in the Turkish survey.12 However, these specialties frequently have the most patients with complex conditions who are receiving the broadest spectrum antimicrobials, so inappropriate prescribing in these specialties is likely to have the greatest effect on resistance for individual patients, the unit and the hospital.19 Therefore ongoing quality improvement endeavours are vital.

Even greater capacity for improvement may lie in areas with lower rates of prescribing but higher patient throughput. With 40% of surgical patients receiving at least one antimicrobial prescription deemed inappropriate, one area for targeting would be the use of perioperative prophylaxis, for which there are consensus guidelines.20 In the Turkish survey, the highest rates of inappropriate prescribing were also in surgical patients, with 80% of patients receiving at least one inappropriately prescribed drug.12 AMS interventions in high-intensity environments often require proportionally intense involvement by AMS practitioners. In less complex areas, such as perioperative prophylaxis, AMS principles may be more easily systematised, with consequent better use of resources. Examples include institutional perioperative prophylaxis protocols with automatic stop orders at 24 hours and a requirement for evidence to support continuation of antimicrobial therapy for longer. The prospect is for AMS principles to be incorporated at a system level in all aspects of antimicrobial prescribing: decision making (to prescribe or not to prescribe antimicrobials), choice of regimen (supported by evidence-based, locally relevant guidelines) and application (particularly duration of use and switching from intravenous to oral administration).21

The strengths of this survey lie in its comprehensive nature, with the inclusion of every children's hospital in Australia and every patient receiving antimicrobials. In the absence of electronic prescribing, a PPS is the only way to obtain such a comprehensive picture of antimicrobial use in children. Survey methods that are commonly used for adult patient populations do not take body weight into account, so are inappropriate for use in paediatric patient populations. Survey methods based on numbers of days of therapy are dependent on laborious medical record audits and are therefore usually only viable in settings that use electronic prescribing. A PPS offers relatively high-fidelity, cross-sectional quantitative insight into patterns of antimicrobial use.22 While labour intensive on the day, it is straightforward and does not require electronic systems, and is therefore appealing in resource-poor settings. Our survey method was designed by the ARPEC team and piloted across multiple centres for validation purposes.11 It provides uniformity of data collection We increased the usefulness of our survey by adding an analysis of appropriateness.

A PPS has several limitations. The cross-sectional nature does not capture duration of antimicrobial therapy or prescribing at hospital discharge. Data that were not collected but would be useful for future surveys include specific infections that were identified and whether suitable microbiological specimens were collected. Also, there is no validated method for assessing appropriateness, and application of the tool by different individuals is likely to result is slight variation. Finally, although patient notes and charts were referred to on the day, subtleties in discussion relating to decision making may have been missed.

Our study shows the viability and value of multicentre PPSs and appropriateness surveys for acquiring cross-sectional data regarding quantity and quality of antimicrobial prescribing for hospitalised children. It provides a baseline for ongoing audits by AMS teams, conducted in individual hospitals and as multisite collaborations. As hospitals adopt integrated electronic medical record and prescribing systems, there is a new opportunity to incorporate AMS principles into day-to-day hospital work via decision-support algorithms, and subsequently move to a system of continuous prospective monitoring of prescribing patterns.21

1 Criteria for categorising appropriateness of antimicrobial prescribing*

Appropriate decision

  • Correct choice of antimicrobial and correct application
  • Correct choice of antimicrobial and incorrect application

Inappropriate decision

  • No infection, no prophylaxis needed and no antimicrobial needed
  • No infection, antimicrobial used as prophylaxis and no antimicrobial needed

Inappropriate choice

  • Antimicrobial needed but different from the one used — unnecessary diversion from antimicrobial guidelines or considered “too broad”
  • Antimicrobial needed but different from the one used — not sufficient for indication or considered “too narrow”

Incorrect application

  • Incorrect dose
  • Incorrect dosing interval
  • Incorrect route of administration
  • Incorrect duration of use (too long)

Insufficient information

  • No infection, insufficient information on whether antimicrobial was needed
  • Insufficient information about infection
  • Infection present, antimicrobial needed, insufficient information on whether choice and application were correct

* More than one criterion per prescription may apply.

2 Proportions of patients at Australian paediatric hospitals who were and were not prescribed antimicrobials

3 Antimicrobial prescriptions* accounting for 50% of use when ranked by frequency of prescribing, for patients at Australian paediatric hospitals

 

No. (%) of all antimicrobial prescriptions (n = 1174)

No. (%) used for treatment

No. used for targeted treatment

No. (%) used for prophylaxis


Nystatin

122 (10%)

0

Not applicable

122 (100%)

Gentamicin

102 (9%)

77 (75%)

9

25 (25%)

Trimethoprim–sulfamethoxazole

87 (7%)

20 (23%)

7

67 (77%)

Amoxycillin or ampicillin

61 (5%)

40 (66%)

3

21 (34%)

Cefotaxime

61 (5%)

51 (84%)

13

10 (16%)

Piperacillin–tazobactam

59 (5%)

54 (92%)

9

5 (8%)

Cephazolin

57 (5%)

13 (23%)

2

44 (77%)

Flucloxacillin

51 (4%)

48 (94%)

21

3 (6%)


* For all indications.

4 Systemic antibacterial prescriptions for all indications, for patients at Australian paediatric hospitals

 

Hospital


 

All

A

B

C

D

E

F

G

H


Numbers of patients receiving ≥ 1 systemic antibacterial

558

98

65

41

62

47

126

54

65

Numbers of prescriptions for systemic antibacterials

         

Total

912

142

106

72

100

77

222

88

105

β-lactam–β-lactamase inhibitor combinations

136

24

13

3

21

13

31

14

17

Aminoglycosides

128

16

19

12

15

9

29

8

20

Penicillins (penicillins V and G, aminopenicillins)

113

15

16

18

11

8

22

6

17

Cephalosporins — 3rd or 4th generation

93

12

13

11

10

11

13

12

11

Trimethoprim–sulfamethoxazole

87

21

0

7

4

11

27

9

8

Cephalosporins — 1st or 2nd generation

76

20

7

1

9

6

20

8

5

Antistaphylococcal penicillins

51

4

11

1

3

5

15

8

4

Glycopeptides

48

7

5

6

4

1

15

2

8

Macrolides

41

5

4

3

4

6

11

5

3

Metronidazole

37

7

5

4

0

0

15

4

2

Fluoroquinolones

29

5

2

0

3

3

11

3

2

Carbapenems

18

4

0

4

1

3

1

2

3

Lincosamides

18

1

2

1

6

0

4

1

3

Rifampicin

8

0

2

0

2

0

4

0

0

Colistin

4

0

1

0

0

0

0

2

1

Tetracyclines

4

0

1

0

0

0

0

3

0

Linezolid

3

1

0

0

1

0

0

0

1

5 Appropriateness of antimicrobial prescriptions, by specialty, for patients at Australian paediatric hospitals


PICU = paediatric intensive care unit.

Received 29 November 2013, accepted 23 May 2014

  • Joshua Osowicki1,2
  • Amanda Gwee1,2
  • Jesuina Noronha3
  • Pamela Palasanthiran4,5
  • Brendan McMullan4,5
  • Philip N Britton6,7
  • David Isaacs6,7
  • Tony Lai8
  • Clare Nourse9,10
  • Minyon Avent11,12
  • Paul Moriarty9
  • Julia Clark9
  • Joshua R Francis13,14
  • Christopher C Blyth13,15
  • Celia M Cooper16
  • Penelope A Bryant1,17

  • 1 Infectious Diseases Unit, Royal Children's Hospital Melbourne, Melbourne, VIC.
  • 2 Murdoch Childrens Research Institute, Melbourne, VIC.
  • 3 Department of Paediatric Infectious Diseases, Monash Children's Hospital, Melbourne, VIC.
  • 4 Department of Immunology and Infectious Diseases, Sydney Children's Hospital, Sydney, NSW.
  • 5 School of Women's and Children's Health, University of New South Wales, Sydney, NSW.
  • 6 Infectious Diseases Department and Microbiology Department, Children's Hospital at Westmead, Sydney, NSW.
  • 7 Discipline of Paediatrics and Child Health, Sydney Medical School, University of Sydney, Sydney, NSW.
  • 8 Pharmacy Department, Children's Hospital at Westmead, Sydney, NSW.
  • 9 Infection Management and Prevention Service, Lady Cilento Children's Hospital, Brisbane, QLD.
  • 10 Discipline of Paediatrics and Child Health, University of Queensland, Brisbane, QLD.
  • 11 Mater Pharmacy, Mater Health Services, Brisbane, QLD.
  • 12 UQ Centre for Clinical Research, University of Queensland, Brisbane, QLD.
  • 13 Department of General Paediatrics, Princess Margaret Hospital for Children, Perth, WA.
  • 14 Department of Paediatrics, Royal Darwin Hospital, Darwin, NT.
  • 15 School of Paediatrics and Child Health, University of Western Australia, Perth, WA.
  • 16 SA Pathology, Women's and Children's Hospital, Adelaide, SA.
  • 17 Department of Paediatrics, University of Melbourne, Melbourne, VIC.


Acknowledgements: 

We thank David Andresen, Sean Beggs, Asha Bowen, Nigel Curtis, Andrew Daley, Jacky Dobson, Gabrielle Haeusler, Thomas Snelling, Mike Starr and Lesley Voss —members of the Australasian Stewardship of Antimicrobials in Paediatrics group (part of the Australian and New Zealand Paediatric Infectious Diseases Group) — for their involvement in planning the survey. We also thank the physicians and pharmacists at the participating hospitals, including Maria Chan, Mona Mostaghim and James Newcombe, for assisting with collection of data.

Competing interests:

No relevant disclosures.

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