Literature DB >> 24688617

Pharmacy intervention on antimicrobial management of critically ill patients.

Immanuel Ijo1, Jeffrey Feyerharm1.   

Abstract

UNLABELLED: Frequent, suboptimal use of antimicrobial drugs has resulted in the emergence of microbial resistance, compromised clinical outcomes and increased costs, particularly in the intensive care unit (ICU). Mounting on these challenges is the paucity of new antimicrobial agents.
OBJECTIVE: The study aims to determine the impact of prospective pharmacy-driven antimicrobial stewardship in the ICU on clinical and potential financial outcomes. The primary objectives were to determine the mean length of stay (LOS) and mortality rate in the ICU resulting from prospective pharmacy interventions on antimicrobial therapy. The secondary objective was to calculate the difference in total drug acquisition costs resulting from pharmacy infectious diseases (ID)-related interventions.
METHODS: In collaboration with an infectious disease physician, the ICU pharmacy team provided prospective audit with feedback to physicians on antimicrobial therapies of 70 patients over a 4-month period in a 31-bed ICU. In comparison with published data, LOS and mortality of pharmacy-monitored ICU patients were recorded. Daily cost savings on antimicrobial drugs and charges for medication therapy management (MTM) services were added to calculate potential total cost savings. Pharmacy interventions focused on streamlining, dose optimization, intravenous-to-oral conversion, antimicrobial discontinuation, new recommendation and drug information consult. Antimicrobial education was featured in oral presentations and electronic newsletters for pharmacists and clinicians.
RESULTS: The mean LOS in the ICU was 6 days, which was lower than the published reports of LOS ranging from 11 to 36 days. The morality rate of 14% was comparable to the reported range of 6 to 20% in published literature. The total drug cost difference was a negative financial outcome or loss of USD192 associated with ID-related interventions.
CONCLUSIONS: In collaboration with the infectious disease physician, prospective pharmacy intervention on antimicrobial therapy in the ICU led to positive clinical outcomes and an additional drug cost expense of USD192.

Entities:  

Keywords:  Anti-Infective Agents; Cost-Benefit Analysis; Intensive Care; Pharmacy Service, Hospital; United States

Year:  2011        PMID: 24688617      PMCID: PMC3969834          DOI: 10.4321/s1886-36552011000200008

Source DB:  PubMed          Journal:  Pharm Pract (Granada)        ISSN: 1885-642X


Introduction

Approximately one-third of a hospital’s pharmacy budget is attributed to the use of antibiotics, the majority of which are used in the critical care setting.1 Although 25 to 50 percent of hospitalized patients are prescribed antibiotics, 22 to 65 percent of the drugs are inappropriately prescribed.2 Consequently, frequent suboptimal use of antimicrobial drugs has accelerated the emergence of antimicrobial resistance, compromised clinical outcomes and increased costs.2,3 To enhance antimicrobial therapy, the study was conducted to determine the impact of pharmacy-driven antimicrobial stewardship on the clinical outcomes and potential cost benefits in the intensive care unit (ICU). The primary objectives were to determine the mean length of stay (LOS) and mortality rate in the ICU. The secondary objective was to assess total drug cost outcome associated with pharmacy interventions in the ICU.

Methods

The interventional, prospective study involved a total of 70 patients diagnosed with active infections over a four-month period from November 2009 to February 2010 in a 31-bed medical-surgical and cardiac ICU. Patients admitted to the ICU are generally diagnosed with cardiovascular diseases, active infections, such as sepsis and pneumonia, or trauma with co-morbidities spanning from congestive heart failure to renal dysfunction. The 378-bed regional referral community hospital serves over 500,000 residents spanning nine counties of southern Oregon and northern California. The study was approved by the Investigational Review Board and the Pharmacy and Therapeutics Committee. About two years prior to the start of the study, decentralized pharmacy services expanded to the ICU. A critical care pharmacist typically accompanied by a pharmacy intern or resident, provided ICU services by engaging in daily rounds with an intensivist-directed multidisciplinary team. The infection control medical director regularly participated in ICU rounds and collaborated with the ICU pharmacist in optimizing antimicrobial therapy. In addition to participating in emergent cardiac and trauma codes, the ICU pharmacist optimized patient care by discussing therapeutic recommendations with the intensivist and provided drug information to ICU practitioners and nurses. Regularly documented in patients’ medical records and computerized pharmacy-specific software program, pharmacy interventions encompassed various disease management, including ID-related interventions, anticoagulation therapy, fall risk assessment, and pain management. Due to competing clinical priorities, including order entry responsibilities, the ICU pharmacist primarily responded to formal ID consults, such as vancomycin or aminoglycoside dosing regimens, requested by physicians. Therefore, before the initiation of the study, a standardized approach to developing antimicrobial stewardship endorsed by the Infectious Diseases Society of America (IDSA) guidelines was not routinely implemented. During weekdays over a 10-hour period, the ICU pharmacy team, comprised of clinical pharmacists, pharmacy residents and interns, documented pharmacy interventions and provided prospective feedback to prescribers in the ICU. Prospective pharmacy interventions were communicated directly to physicians during daily morning rounds and throughout the 10-hour pharmacist shift in the ICU. To adhere to best clinical practice, the ICU pharmacy team consulted with the infectious disease physician and national guidelines. Pharmacy interventions focused on streamlining or narrowing spectrum coverage after evaluation of positive culture results and institution-specific antibiograms; dose optimization or renal dose adjustment based on creatinine clearance and published drug dosing information from Micromedex®; antimicrobial addition to cover suspected pathogens empirically when indicated; drug substitution or discontinuation due to drug intolerance and/or therapeutic duplication; and intravenous-to-oral (IV-PO) conversion, particularly for linezolid, fluoroquinolone, metronidazole and fluconazole. To be considered for IV-PO conversion, patients must have received the drug for at least 24 hours; consumed at minimum liquid diet without reported nausea; afebrile for at least 24 hours in the absence of sepsis, meningitis or endocarditis; absence of neutropenia; and presence of documented signs and symptoms of improved clinical parameters, such as lower leukocyte count and restored respiratory rate. To determine the mean LOS, the sum of LOS was divided by the total number of participants. Mortality rate was calculated by dividing the number of deceased patients by the total number of patients. Mean LOS and mortality rate were compared with published data to assess clinical outcomes associated with pharmacy interventions.3,4,5 Total drug acquisition cost differences between prescribed and pharmacy-recommended antimicrobials were determined. Statistic analysis was not employed in the study. To complement pharmacist-initiated interventions, ID-related articles were published in monthly newsletters intended for physicians and pharmacists. Monthly initial and continuing education (CE) programs accredited by the Accreditation Council for Pharmacy Education (ACPE) in the format of PowerPoint presentations were provided to educate pharmacists about various pharmacotherapeutic topics, including ID-related best practice guidelines. Participants of CE programs were required to document attendance on a manual sign-up form.

Results

In Table 1, out of a total of 70 patients, 10 patients failed to survive in the ICU, rendering a mortality rate of 14 percent, which was comparable to the reported range of 6 to 20 percent in published literature.3,4,5 The mean LOS in the ICU was 6 days versus 11 to 36 days documented in previous studies.3,4,5
Table 1

Clinical outcomes associated with pharmacy intervention

ParameterTotalPublished Data3,4,5
Total number of patients70 
Number of deceased patients10
Mortality rate14%6-20%
Mean length of ICU/CCU Stay6 days11-36
Clinical outcomes associated with pharmacy intervention In Table 2, since several of the patients had more than one concurrent infection, there were 78 cases monitored by the pharmacy team. The most frequently observed primary source of infection was gram-positive bacteria in the respiratory tract, which accounted for 23 percent (18 out of 78) of the infections. Ranked as the second most common causative agent, gram-negative bacteria were responsible for 19% (15 out of 78) of the infections.
Table 2

Frequency of infectious agents

Causative agent (n=78)Primary site of infectionN (%)
Gram-positive bacteriaPulmonary18 (23)
Gram-negative bacteriaPulmonary15(19)
PolybacteriaPulmonary7 (9)
Suspected H1N1 virusPulmonary4 (5)
CandidaUrine3 (4)
UndeterminedPulmonary31 (40)
Frequency of infectious agents In Table 3 and Figure 1, the total of 93 prospective pharmacy recommendations, including those accepted and declined by physicians, was documented. Among the various types of pharmacy recommendations, dose optimization was most prevalent, attributing to 43% (40 out of 93 interventions). Drug substitution, streamlining and drug discontinuation accounted for 17, 13, and 11%, respectively. The less frequent interventions were drug addition (9%) and IV-to-PO conversion (8%). In Table 4, cost differences between prescribed and pharmacy-recommended drugs led to an additional pharmacy expense of USD192.
Table 3

Frequency of pharmacy interventions (n=93)

Description of Pharmacy InterventionN (%)
Dose optimization40 (43)
Drug Substitution16 (17)
Streamlining12 (13)
Drug Discontinuation10 (11)
Drug Addition8 (9)
IV-PO Conversion7 (8)
Figure 1

Types of pharmacy interventions

Table 4

Potential financial outcomes resulting from pharmacy intervention: drug acquisition cost difference between prescribed & pharmacy-recommended drugs

Pharmacy Intervention(USD)a
Drug discontinuation819
Streamlining589
IV-PO conversion296
Dose optimization- 297
Addition- 564
Substitution- 1,034
Total- 192
Frequency of pharmacy interventions (n=93) Types of pharmacy interventions Potential financial outcomes resulting from pharmacy intervention: drug acquisition cost difference between prescribed & pharmacy-recommended drugs

Discussion

Confronted with the increasing threat of multi-drug resistance and paucity of novel antimicrobial agents, many practitioners are inclined to use broad-spectrum agents indiscriminately, a prescribing trend which contributes to the emergence of antimicrobial resistance.6 To minimize the spread of antimicrobial-resistant strains, antimicrobial stewardship involving pharmacists has been developed in numerous hospitals.1,6,7 In a study comparing clinical outcomes and appropriateness of antimicrobial prescribing, an antimicrobial management program driven by a clinical pharmacist with support from an ID medical specialist resulted in better clinical outcomes compared to a program managed by infectious diseases (ID) fellows.8 As confirmed by previous studies, the project demonstrated potential financial and clinical outcomes associated with pharmacy-managed antimicrobial stewardship. The greatest frequency of infections was derived from gram-positive pathogens, including methicillin-resistant Staphylococcus aureus (MRSA), a finding consistent with recent reports of escalating MRSA infections among hospitals.9 In a national survey, S. aureus was also ranked as one of the top three pathogens responsible for cases of healthcare-associated infection.10 Therefore, the high incidence of gram-positive infections in the project bacteria may have afforded more opportunities for pharmacists to recommend dose optimization of anti-MRSA agents, primarily vancomycin. Since the project was conducted in the critical care units where IV administration of drugs was favored in seriously ill patients, the least frequency of intervention was expectantly IV-PO conversion. Interestingly, cost differences in drug acquisition between prescribed versus recommended antimicrobials did not result in potential financial savings. Confounding variables, such as patients’ severity of infection, underlying physiological status and comorbidities, may have led to increased use of antimicrobials, particularly during the winter season, which was reportedly correlated with the greatest number of visits to the emergency department.11 The study was also performed during the novel H1N1 epidemic so many patients were prescribed multiple antimicrobials. Pharmacy interventions, such as increasing the dosage of oseltamivir in critically ill or obese patients, may have led to increased drug costs. Nevertheless, the potential of reaping financial benefits from pharmacy-driven antimicrobial stewardship is substantial when other cost-related variables, such as decreased length of stay in the critical care units and improved clinical outcomes, are considered. Limitations of the study included small sample size, lack of statistical analysis and approximation of potential cost outcomes. Since antimicrobial monitoring was performed intermittently during the weekdays due to staffing shortage, the reported number of pharmacy interventions and the potential cost savings or avoidance associated with these recommendations may not have been accurately represented. Although the ICU pharmacy team consulted with the infectious disease physician, incorporating a more robust approach towards multidisciplinary collaboration may have improved patient care. Since data prior to stewardship implementation in the ICU was not obtained, the actual impact of stewardship may not have been accurately ascertained.

Conclusions

In collaboration with the ID physician, pharmacy-driven antimicrobial stewardship in the ICU resulted in positive clinical outcomes and additional drug cost expenses. Future studies may incorporate additional pertinent financial variables, such as labor cost and cost savings associated with reduced LOS, to justify stewardship development and expansion.
  11 in total

1.  Impact of a hospital-based antimicrobial management program on clinical and economic outcomes.

Authors:  R Gross; A S Morgan; D E Kinky; M Weiner; G A Gibson; N O Fishman
Journal:  Clin Infect Dis       Date:  2001-07-05       Impact factor: 9.079

2.  Outcomes of an intervention to improve hospital antibiotic prescribing: interrupted time series with segmented regression analysis.

Authors:  Faranak Ansari; Kirsteen Gray; Dilip Nathwani; Gabby Phillips; Simon Ogston; Craig Ramsay; Peter Davey
Journal:  J Antimicrob Chemother       Date:  2003-10-16       Impact factor: 5.790

3.  Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship.

Authors:  Timothy H Dellit; Robert C Owens; John E McGowan; Dale N Gerding; Robert A Weinstein; John P Burke; W Charles Huskins; David L Paterson; Neil O Fishman; Christopher F Carpenter; P J Brennan; Marianne Billeter; Thomas M Hooton
Journal:  Clin Infect Dis       Date:  2006-12-13       Impact factor: 9.079

Review 4.  The role of antimicrobial management programs in optimizing antibiotic prescribing within hospitals.

Authors:  David L Paterson
Journal:  Clin Infect Dis       Date:  2006-01-15       Impact factor: 9.079

Review 5.  The molecular evolution of methicillin-resistant Staphylococcus aureus.

Authors:  R H Deurenberg; C Vink; S Kalenic; A W Friedrich; C A Bruggeman; E E Stobberingh
Journal:  Clin Microbiol Infect       Date:  2007-03       Impact factor: 8.067

6.  Hospital and societal costs of antimicrobial-resistant infections in a Chicago teaching hospital: implications for antibiotic stewardship.

Authors:  Rebecca R Roberts; Bala Hota; Ibrar Ahmad; R Douglas Scott; Susan D Foster; Fauzia Abbasi; Shari Schabowski; Linda M Kampe; Ginevra G Ciavarella; Mark Supino; Jeremy Naples; Ralph Cordell; Stuart B Levy; Robert A Weinstein
Journal:  Clin Infect Dis       Date:  2009-10-15       Impact factor: 9.079

7.  Clinical and economic outcomes of involving pharmacists in the direct care of critically ill patients with infections.

Authors:  Robert MacLaren; C A Bond; Steven J Martin; David Fike
Journal:  Crit Care Med       Date:  2008-12       Impact factor: 7.598

8.  NHSN annual update: antimicrobial-resistant pathogens associated with healthcare-associated infections: annual summary of data reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2006-2007.

Authors:  Alicia I Hidron; Jonathan R Edwards; Jean Patel; Teresa C Horan; Dawn M Sievert; Daniel A Pollock; Scott K Fridkin
Journal:  Infect Control Hosp Epidemiol       Date:  2008-11       Impact factor: 3.254

Review 9.  Bench-to-bedside review: antimicrobial utilization strategies aimed at preventing the emergence of bacterial resistance in the intensive care unit.

Authors:  Marin H Kollef
Journal:  Crit Care       Date:  2005-06-27       Impact factor: 9.097

10.  Increase in adult Clostridium difficile-related hospitalizations and case-fatality rate, United States, 2000-2005.

Authors:  Marya D Zilberberg; Andrew F Shorr; Marin H Kollef
Journal:  Emerg Infect Dis       Date:  2008-06       Impact factor: 6.883

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  2 in total

Review 1.  Economic evaluations of clinical pharmacist interventions on hospital inpatients: a systematic review of recent literature.

Authors:  James Gallagher; Suzanne McCarthy; Stephen Byrne
Journal:  Int J Clin Pharm       Date:  2014-09-14

2.  Perspectives from the frontline: A pharmacy department's response to the COVID-19 pandemic.

Authors:  Curtis D Collins; Nina West; David M Sudekum; Jason P Hecht
Journal:  Am J Health Syst Pharm       Date:  2020-08-20       Impact factor: 2.637

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