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Impact of an enhanced antibiotic stewardship on reducing methicillin-resistant Staphylococcus aureus in primary and secondary healthcare settings

Published online by Cambridge University Press:  05 June 2013

M. A. ALDEYAB*
Affiliation:
Clinical and Practice Research Group, School of Pharmacy, Queen's University Belfast, Belfast, Northern Ireland, UK Pharmacy and Medicines Management Centre, Northern Health and Social Care Trust, Ballymena, Northern Ireland, UK
M. G. SCOTT
Affiliation:
Pharmacy and Medicines Management Centre, Northern Health and Social Care Trust, Ballymena, Northern Ireland, UK
M. P. KEARNEY
Affiliation:
Microbiology Department, Northern Health and Social Care Trust, Ballymena, Northern Ireland, UK
Y. M. ALAHMADI
Affiliation:
Clinical and Practice Research Group, School of Pharmacy, Queen's University Belfast, Belfast, Northern Ireland, UK
F. A. MAGEE
Affiliation:
Pharmacy and Medicines Management Centre, Northern Health and Social Care Trust, Ballymena, Northern Ireland, UK
G. CONLON
Affiliation:
Clinical and Practice Research Group, School of Pharmacy, Queen's University Belfast, Belfast, Northern Ireland, UK
J. C. McELNAY
Affiliation:
Clinical and Practice Research Group, School of Pharmacy, Queen's University Belfast, Belfast, Northern Ireland, UK
*
* Author for correspondence: Dr M. A. Aldeyab, Clinical and Practice Research Group, School of Pharmacy, Queen's UniversityBelfast BT9 7BL, UK. (Email: [email protected])
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Summary

The objective of this study was to evaluate the impact of restricting high-risk antibiotics on methicillin-resistant Staphylococcus aureus (MRSA) incidence rates in a hospital setting. A secondary objective was to assess the impact of reducing fluoroquinolone use in the primary-care setting on MRSA incidence in the community. This was an interventional, retrospective, ecological investigation in both hospital and community (January 2006 to June 2010). Segmented regression analysis of interrupted time-series was employed to evaluate the intervention. The restriction of high-risk antibiotics was associated with a significant change in hospital MRSA incidence trend (coefficient = −0·00561, P = 0·0057). Analysis showed that the intervention relating to reducing fluoroquinolone use in the community was associated with a significant trend change in MRSA incidence in community (coefficient = −0·00004, P = 0·0299). The reduction in high-risk antibiotic use and fluoroquinolone use contributed to both a reduction in incidence rates of MRSA in hospital and community (primary-care) settings.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2013 

INTRODUCTION

Methicillin-resistant Staphylococcus aureus (MRSA) is considered a major nosocomial pathogen which causes diseases ranging in severity from skin and soft tissue infections to life-threatening conditions, and is associated with both a high clinical and a financial burden on healthcare systems [Reference Lindsay and Holden1Reference Gould3]. Although MRSA has usually been considered within a hospital context, MRSA community-acquired infections have increasingly emerged as an important health problem [Reference Deleo4].The emergence and spread of MRSA is multifactorial in nature and is attributed to host factors, infection control practices and antibiotic use, and as such multiple intervention strategies are required to reduce MRSA infection rates [Reference Coia5Reference Byrne and Wilcox8]. Antibiotic stewardship is considered a central component in multifaceted approaches to tackle the emergence and spread of antibiotic resistance [Reference Davey9, Reference Dellit10]; however, evidence on whether reducing antibiotic use will result in a parallel reduction in antibiotic resistance remains incomplete and further investigation is required.

In 2008, in response to controlling a hospital Clostridium difficile infection (CDI) outbreak, the Northern Health and Social Care Trust (NHSCT) in Northern Ireland implemented an enhanced antibiotic stewardship programme. This involved the restriction of high-risk antibiotic classes (i.e. second-generation cephalosporins, third-generation cephalosporins, fluoroquinolones, clindamycin) [Reference Aldeyab11, Reference Aldeyab12]. The restriction of high-risk antibiotics contributed to both a reduction in their use and a reduction in the incidence of CDI in the study site hospital [Reference Aldeyab12]. In addition, an educational activity to reduce the use of fluoroquinolones in the community setting was introduced. This policy was shown to be associated with a significant reduction in extended-spectrum β-lactamase-producing bacteria incidence rates in both hospital and community settings [Reference Aldeyab13].

The aim of the present investigation was to evaluate the impact of restricting high-risk antibiotics on MRSA incidence rates in a hospital setting. A secondary aim was to assess the impact of reducing fluoroquinolone use in the primary-care (community) setting on MRSA incidence in the community.

MATERIALS AND METHODS

Setting and study period

The NHSCT in N. Ireland consists of four hospitals, serving a population of about 420 000 people. The present study took place in one hospital (Causeway Hospital, 233 beds) since this hospital was not affected by the CDI outbreak which occurred in the NHSCT in 2008 [Reference Aldeyab11, Reference Aldeyab12]. Healthcare centres in primary care send their specimens to the NHSCT laboratory for assessment. The study was an ecological time-series analysis with a defined intervention period. The hospital intervention entailed restricting the use of high-risk antibiotics (second-generation cephalosporins, third-generation cephalosporins, fluoroquinolones, clindamycin), and the community intervention involved reducing the use of fluoroquinolones; both interventions commenced in January 2008. The study consisted of two components: (1) an evaluation of the impact of restricting the use of high-risk antibiotics in Causeway Hospital on MRSA incidence in that hospital; (2) an evaluation of the impact of reducing fluoroquinolone use in the NHSCT local community on MRSA incidence in that community. The present evaluation was conducted for the period January 2006 to June 2010, since data on some predictors (e.g. alcohol-base hand rub, age-adjusted comorbidity) were only available for that period. Details regarding the study site characteristics and implemented antibiotic stewardship are provided in a previous evaluation [Reference Aldeyab12].

Microbiology and pharmacy data

The number of new MRSA cases (hospital/community) was obtained from the clinical microbiology information system on a monthly basis. Hospital MRSA cases represent new cases that were identified during a patient's hospital stay (expressed per 100 bed-days). Community MRSA cases represent new cases identified in community samples sent to the Trust laboratory for analysis (per 1000 persons per day). Data allowing the distinction between MRSA colonized and infected patients were not available for Causeway Hospital for the whole study period. A sample was, however, considered for the period January 2010 to June 2010. MRSA isolates were processed according to routine microbiology procedures [Reference Aldeyab6]. Coagulase-positive isolates and their antimicrobial susceptibility were identified using the Vitek 2 system (bioMérieux, France). Monthly hospital antibiotic use was determined from the pharmacy information system and converted into defined daily doses (DDDs; ATC/DDD version 2010) [14]. Alcohol-based hand rub (litres) quantities issued to each ward each month were obtained from the pharmacy information system. Antibiotic use and alcohol gel data were normalized per 100 occupied bed-days. Age-adjusted comorbidity index (Charlson Index) was determined using data obtained from the Hospital Episode Statistics (HES) database [Reference Tobacman15]. Community antibiotic use was determined from the Business Services Organization (BSO) in N. Ireland and was expressed as DDDs/1000 persons per day.

Hospital antibiotic policy

The NHSCT implemented a revised antibiotic policy to minimize the use of high-risk antibiotics (second-generation cephalosporins, third-generation cephalosporins, fluoroquinolones, clindamycin; January 2008), and monitored the use of medium-risk antibiotics (i.e. amoxicillin-clavulanic acid and macrolides; September 2008). Clinical staff were encouraged to adhere to the hospital policy. Adherence to the implemented policy was continuously enforced and improved using audit and feedback and a pre-authorization requirement strategy [Reference Conlon16]. Approval for the use of restricted antibiotics which required authorization by a consultant and a subsequent assessment for appropriateness by the Antimicrobial Management Team (AMT), were used to observe the use of antimicrobials not included in the policy. The impact of this antibiotic policy on reducing high-risk antibiotic use has been reported in a previous investigation [Reference Aldeyab12].

NHSCT community intervention

In accordance with restricting fluoroquinolone use by patients served by the Trust, in order to manage a CDI outbreak in January 2008 [Reference Aldeyab11], a leaflet classifying fluoroquinolones as high-risk drugs was sent to all general practitioners (GPs) in the area. Reduced fluoroquinolone use was enforced and maintained via prescribing meetings with GPs, regular feedback (quarterly) on GPs' prescribing patterns, and training on appropriate antibiotic use. The impact of this antibiotic policy on reducing fluoroquinolone use in the community has been reported in a previous investigation [Reference Aldeyab13].

Statistical analysis

Segmented regression analysis of interrupted time-series was employed to evaluate the impact of restricting the use of high-risk antibiotics on MRSA incidence rates [Reference Wagner17]. This analysis allowed the estimation of changes between pre-intervention (January 2006 to December 2007) and intervention (January 2008 to June 2010) phases, while accounting for both sudden changes and the change trends of the outcome of interest. Monthly cases of MRSA were modelled as incidence rate. Analysis of the residuals of the fitted models showed that residuals were normally distributed (using the Jarque–Bera test), and there was no evidence of serial correlation (according to the Breusch–Godfrey test). In addition, analysis of the residual of the fitted models showed no evidence of heteroskedasticity (using the Breusch–Pagan–Godfrey test) with the exception of MRSA in community models; heteroskedasticity-adjusted standard errors were used for the latter series. Significance tests for parameter estimates were used to eliminate the unnecessary terms in the MRSA models in order to generate the most parsimonious model. A P value of <0·05 was considered to be statistically significant, and the most parsimonious MRSA model was selected. Analyses were performed using EViews 6 software (QMS, USA).

RESULTS

A total of 660 MRSA cases were identified in Causeway Hospital, while 1404 MRSA cases were identified in the local community over the study period (January 2006 to June 2010). Analysing a 6-month sample of data (January 2010 to June 2010) indicated that 23% and 97% of MRSA cases resulted from the clinical samples, for hospital and community, respectively, whereas the remaining cases resulted from screening patients. The average monthly MRSA incidence was 0·248/100 bed-days (range 0·103–0·415) and 0·002/1000 person-days (range 0·001–0·003), in the hospital and the local community, respectively. An increased trend in hospital alcohol-based hand rub use (P < 0·0001) was observed over the study period.

The introduction of the revised antibiotic policy intervention was not associated with a significant change in MRSA level (P = 0·5669) in Causeway Hospital; however, a significant change in trend was observed (P = 0·0057), with the MRSA incidence rate being reduced by 0·00561/100 bed-days per month. Analysis showed that variations in the incidence of hospital MRSA were affected by use of alcohol-based hand rub (coefficient = −0·045174, P = 0·0364, lag = 2 months; Table 1); 36% of the variation in the incidence of hospital MRSA was explained by the identified model (model a, Table 1). In the most parsimonious model, both trend change and alcohol-based hand rub use variables remained significant (model b, Table 1). Plots for monthly hospital MRSA incidence vs. use of high-risk antibiotic groups, and alcohol-based hand rub in the study site hospital are presented in Figure 1.

Fig. 1. Monthly hospital MRSA incidence vs. use of (a) high-risk antibiotic group (second-generation cephalosporins, third-generation cephalosporins, fluoroquinolones, clindamycin), and (b) alcohol-based hand rub, Causeway Hospital, January 2006 to June 2010. The vertical dashed line indicates the introduction of the intervention in January 2008. DDD, Defined daily dose.

Table 1. Parameter estimates from the full and most parsimonious segmented regression models assessing changes in MRSA incidence rates after the intervention, Causeway Hospital, January 2006 to June 2010

* Indicates the size and the direction of the effect; s.e., standard error.

Lag time = 2 months; represents the delay necessary to observe the effect.

AR, autoregressive term (order 2); representing past incidence density of MRSA.

Analysis showed that the intervention relating to reducing fluoroquinolone use in the NHSCT local community was associated with a significant trend change in MRSA incidence in that area (P = 0·0299), with the MRSA incidence rate being reduced by 0·00004/1000 persons per day (model a, Table 2). There was no significant change in MRSA incidence in the community (P = 0·1848). In the most parsimonious model, trend change remained significant (model b, Table 2). Modelling the relationship between hospital MRSA series and community MRSA series showed insignificant correlation (coefficient = 0·000646, P = 0·5090). A plot for the monthly incidence of MRSA vs. use of fluoroquinolones in the NHSCT local community is presented in Figure 2.

Fig. 2. Monthly MRSA incidence vs. use of fluoroquinolones, Northern Health and Social Care Trust local community, January 2006 to June 2010. The vertical dashed line indicates the introduction of the intervention in January 2008. DDD, Defined daily dose.

Table 2. Estimates from the segmented regression analysis assessing changes in the incidence of MRSA after the intervention, Northern Health and Social Care Trust local community, January 2006 to June 2010

DISCUSSION

Healthcare systems are currently facing several challenges requiring policy makers to prioritize their interventions and focus on the most practical and effective modifiable set of interventions to tackle healthcare-acquired infections. The findings of a previous investigation in Causeway Hospital (N. Ireland) showed that the restriction of high-risk antibiotics was the predominant factor in driving CDI incidence rate reduction [Reference Aldeyab12]. The present investigation aimed to evaluate the impact of reducing high-risk antibiotics on MRSA incidence rates within the same study site. Analysis of data showed that the incidence of hospital MRSA was significantly decreased following the restriction of high-risk antibiotics and adjusting for the use of alcohol gel-based hand rub. Such findings confirm our previous work on the importance of antibiotic use and infection control practices in the development of hospital-acquired MRSA, and provide further evidence in line with a cause–effect relationship between antibiotic use and resistance [Reference Aldeyab6]. The results are also consistent with evidence of the involvement of restricted antibiotics in increasing MRSA incidence rates in hospitals [Reference Aldeyab6, Reference Tacconelli18Reference Lafaurie22].

Antibiotic consumption can create selection for resistance in a population while at the individual patient level antibiotics can modify the host's normal flora by eradicating the susceptible microorganisms, thus increasing the patient's probability of being colonized with a resistant organism [Reference Lipsitch and Samore23]. In addition, antibiotic use can increase the density of the resistant organisms carried by a patient which may enhance shedding of these organisms and increase the risk of acquisition by other exposed patients [Reference Lipsitch and Samore23]. Thus, the use of antibiotics not only has important implications for the spread and acquisition of MRSA in hospitals, but also in primary healthcare settings.

The restriction of certain antibiotic classes has been shown to be associated with positive clinical and microbiological outcomes in hospitals [Reference Davey9]. However, the implementation of antibiotic stewardship within primary healthcare settings is more difficult to achieve. In a previous study [Reference Aldeyab13], our group showed that the intervention relating to fluoroquinolone use in the NHSCT local community was associated with a significant reduction in their use. This reduction was achieved through continuous educational efforts as described earlier. Interestingly, the present study showed that this was also associated with a significant decrease in MRSA incidence trend in the community. The findings were consistent with the resistance patterns obtained from the Trust's microbiology department, which showed that MRSA in the community were resistant to ciprofloxacin in 95% of the cases examined.

Although the spread and acquisition of MRSA has been related to the use of different classes of antimicrobial therapy, a higher risk has been reported following therapy with fluoroquinolones in particular [Reference Tacconelli18]. Possible explanations could be related to the excretion of ciprofloxacin in sweat and across mucosal surfaces, thus promoting the spread of MRSA strains by eradication of susceptible microorganisms and increasing the expression of fibronectin-binding proteins on MRSA cell surfaces [Reference Lipsitch and Samore23, Reference Hoiby24]. A recently published systematic review and meta-analysis showed a consistent association, at the individual level, between receiving antibiotics and resistance in respiratory and urinary bacteria to those antibiotics [Reference Costelloe25]. Further, a controlled observational study on the effect of antibiotic prescribing in primary care on MRSA carriage, suggested that antibiotics prescribed within 12 months were associated with MRSA carriage [Reference Costelloe26].

Hand hygiene is considered as an essential strategy that reduces the risk of healthcare workers transmitting pathogens from one patient to another [Reference Coia5]. Despite the simplicity of this procedure, adherence remains low [Reference Sroka, Gastmeier and Meyer27]. The present study shows that the use of hospital alcohol-based hand rub was negatively correlated with the incidence of MRSA, i.e. an increase in the use of alcohol-based hand rub was associated with a decrease in MRSA rates, in accord with other published studies [Reference Aldeyab6, Reference Vernaz19, Reference Kaier20, Reference Sroka, Gastmeier and Meyer27, Reference Jarlier28]. Such findings highlight the importance of encouraging the use of alcohol-based hand rub, since there is much room for improvement in adherence, as one of the strategies in multifaceted approaches, to reduce MRSA rates in hospitals.

The study design has several strengths, including the use of the segmented regression of interrupted time-series analysis techniques which accounted for both sudden changes and the change trends of the outcome of interest. In addition, the model was improved by the inclusion of alcohol-based hand rub as a proxy measure for infection control practices. Data were collected as part of routine hospital practice independently from the study, therefore selection and information bias are unlikely. However, the study has some limitations: first, associations demonstrated by quasi-experimental studies at the population level may not correlate with associations at the individual patient level [Reference Harris, Lautenbach and Perencevich29, Reference Muller30]. Second, evaluation of the influence of restricting high-risk antibiotic use on MRSA incidence could have been improved if other possible factors (e.g. infection control activity including screening and isolation policies, and compliance with aseptic technique) had been available. However, the latter variables are likely to be involved in the variance which was not explained by the model presented. Third, in relation to the evaluation of MRSA incidence in Causeway Hospital, it was not possible to distinguish between MRSA cases that were acquired in the hospital or were positive on admission. Fourth, there is a lack of other possible factors that might explain the reduction of MRSA in the community. This latter area requires more investigation using data at the individual patient level.

In conclusion, the study showed that a reduction in high-risk antibiotic use and fluoroquinolone use contributed to a reduction in MRSA incidence rates in both hospital and community (primary care) settings.

DECLARATION OF INTEREST

None.

ACKNOWLEDGEMENTS

We thank Dominique L. Monnet (ECDC, Stockholm, Sweden) for expert advice and assistance on an earlier version of the manuscript.

References

REFERENCES

1. Lindsay, JA, Holden, MT. Staphylococcus aureus: superbug, super genome? Trends in Microbiology 2004; 12: 378385.Google Scholar
2. Wilcox, MH, Dave, J. The cost of hospital-acquired infection and the value of infection control. Journal of Hospital Infection 2000; 45: 8184.Google Scholar
3. Gould, IM. The clinical significance of methicillin-resistant Staphylococcus aureus . Journal of Hospital Infection 2005; 61: 277282.CrossRefGoogle ScholarPubMed
4. Deleo, FR, et al. Community-associated meticillin-resistant Staphylococcus aureus . Lancet 2010; 375: 15571568.Google Scholar
5. Coia, JE, et al. Guidelines for the control and prevention of meticillin-resistant Staphylococcus aureus (MRSA) in healthcare facilities. Journal of Hospital Infection 2006; 63 (Suppl. 1): S144.Google Scholar
6. Aldeyab, MA, et al. Modelling the impact of antibiotic use and infection control practices on the incidence of hospital-acquired methicillin-resistant Staphylococcus aureus: a time-series analysis. Journal of Antimicrobial Chemotherapy 2008; 62: 593600.Google Scholar
7. Stefani, S, Goglio, A. Methicillin-resistant Staphylococcus aureus: related infections and antibiotic resistance. International Journal of Infectious Diseases 2010; 14 (Suppl. 4): S1922.Google Scholar
8. Byrne, FM, Wilcox, MH. MRSA prevention strategies and current guidelines. Injury 2011; 42 (Suppl. 5): S36.Google Scholar
9. Davey, P, et al. Interventions to improve antibiotic prescribing practices for hospital inpatients. Cochrane Database of Systematic Reviews 2005; Issue 4, Art. No. CD003543.Google Scholar
10. Dellit, TH, et al. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clinical Infectious Diseases 2007; 44: 159177.Google Scholar
11. Aldeyab, MA, et al. Multihospital outbreak of Clostridium difficile ribotype 027 infection: epidemiology and analysis of control measures. Infection Control and Hospital Epidemiology 2011; 32: 210219.CrossRefGoogle ScholarPubMed
12. Aldeyab, MA, et al. An evaluation of the impact of antibiotic stewardship on reducing the use of high-risk antibiotics and its effect on the incidence of Clostridium difficile infection in hospital settings. Journal of Antimicrobial Chemotherapy 2012; 67: 29882996.Google Scholar
13. Aldeyab, MA, et al. The impact of antibiotic use on the incidence and resistance pattern of extended-spectrum beta-lactamase-producing bacteria in primary and secondary healthcare settings. British Journal of Clinical Pharmacology 2012; 74: 171179.Google Scholar
14. WHO Collaborating Centre for Drug Statistics Methodology. Guidelines for ATC classification and DDD assignment, 2012. Oslo, 2011.Google Scholar
15. Tobacman, JK. Assessment of comorbidity: a review. Clinical Performance and Quality Health Care 1994; 2: 2332.Google Scholar
16. Conlon, G, et al. Improving and maintaining adherence with hospital antibiotic policies: a strategy for success. Journal of Hospital Infection 2011; 77: 8889.Google Scholar
17. Wagner, AK, et al. Segmented regression analysis of interrupted time series studies in medication use research. Journal of Clinical Pharmacy and Therapeutics 2002; 27: 299309.Google Scholar
18. Tacconelli, E, et al. Does antibiotic exposure increase the risk of methicillin-resistant Staphylococcus aureus (MRSA) isolation? A systematic review and meta-analysis. Journal of Antimicrobial Chemotherapy 2008; 61: 2638.Google Scholar
19. Vernaz, N, et al. Temporal effects of antibiotic use and hand rub consumption on the incidence of MRSA and Clostridium difficile . Journal of Antimicrobial Chemotherapy 2008; 62: 601607.Google Scholar
20. Kaier, K, et al. Two time-series analyses of the impact of antibiotic consumption and alcohol-based hand disinfection on the incidences of nosocomial methicillin-resistant Staphylococcus aureus infection and Clostridium difficile infection. Infection Control and Hospital Epidemiology 2009; 30: 346353.Google Scholar
21. Parienti, JJ, et al. Hospital-wide modification of fluoroquinolone policy and meticillin-resistant Staphylococcus aureus rates: a 10-year interrupted time-series analysis. Journal of Hospital Infection 2011; 78: 118122.Google Scholar
22. Lafaurie, M, et al. Reduction of fluoroquinolone use is associated with a decrease in methicillin-resistant Staphylococcus aureus and fluoroquinolone-resistant Pseudomonas aeruginosa isolation rates: a 10 year study. Journal of Antimicrobial Chemotherapy 2012; 67: 10101015.Google Scholar
23. Lipsitch, M, Samore, MH. Antimicrobial use and antimicrobial resistance: a population perspective. Emerging Infectious Diseases 2002, 8: 347354.Google Scholar
24. Hoiby, N, et al. Excretion of ciprofloxacin in sweat and multiresistant Staphylococcus epidermidis . Lancet 1997; 349: 167169.Google Scholar
25. Costelloe, C, et al. Effect of antibiotic prescribing in primary care on antimicrobial resistance in individual patients: systematic review and meta-analysis. British Medical Journal 2010; 340: c2096.CrossRefGoogle ScholarPubMed
26. Costelloe, C, et al. Effect of antibiotic prescribing in primary care on meticillin-resistant Staphylococcus aureus carriage in community-resident adults: a controlled observational study. International Journal of Antimicrobial Agents 2012; 39: 135–41.Google Scholar
27. Sroka, S, Gastmeier, P, Meyer, E. Impact of alcohol hand-rub use on meticillin-resistant Staphylococcus aureus: an analysis of the literature. Journal of Hospital Infection 2010; 74: 204211.Google Scholar
28. Jarlier, V, et al. Curbing methicillin-resistant Staphylococcus aureus in 38 French hospitals through a 15-year institutional control program. Archives of Internal Medicine 2010; 170: 552559.CrossRefGoogle ScholarPubMed
29. Harris, AD, Lautenbach, E, Perencevich, E. A systematic review of quasi-experimental study designs in the fields of infection control and antibiotic resistance. Clinical Infectious Diseases 2005; 41: 7782.Google Scholar
30. Muller, A, et al. Effect of individual- and group-level antibiotic exposure on MRSA isolation: a multilevel analysis. Journal of Antimicrobial Chemotherapy 2006; 58: 878881.Google Scholar
Figure 0

Fig. 1. Monthly hospital MRSA incidence vs. use of (a) high-risk antibiotic group (second-generation cephalosporins, third-generation cephalosporins, fluoroquinolones, clindamycin), and (b) alcohol-based hand rub, Causeway Hospital, January 2006 to June 2010. The vertical dashed line indicates the introduction of the intervention in January 2008. DDD, Defined daily dose.

Figure 1

Table 1. Parameter estimates from the full and most parsimonious segmented regression models assessing changes in MRSA incidence rates after the intervention, Causeway Hospital, January 2006 to June 2010

Figure 2

Fig. 2. Monthly MRSA incidence vs. use of fluoroquinolones, Northern Health and Social Care Trust local community, January 2006 to June 2010. The vertical dashed line indicates the introduction of the intervention in January 2008. DDD, Defined daily dose.

Figure 3

Table 2. Estimates from the segmented regression analysis assessing changes in the incidence of MRSA after the intervention, Northern Health and Social Care Trust local community, January 2006 to June 2010