Table 1.
Country | Type of study and population | Intervention | Primary outcomes | Secondary outcomes |
---|---|---|---|---|
Japan | ||||
Uda A, et al. 2022 21 | Study design: Pre and post intervention Study period: 2017-2019 Setting: Tertiary-care hospital Participants: N/A |
ID Pharmacist perform a daily structured review of antibiotic prescriptions, Educating prescribers on antimicrobial therapy, Monthly reporting of department-level rates of blood sampling for culture Comparator: baseline period (May-Dec 2017) vs Intervention period (May-Dec 2018) and post-intervention period (May-Dec 2019 |
- Increased rate of appropriate blood culture collections and de-escalation therapy (71% vs 85%, P < .001) | - Decrease in antipseudomonal agent and carbapenem consumption (P = .016 and P = .004) - Decrease incidence of HA-CDI (P = .031) - Decrease 30-day mortality (P = .005) - Similar length of stay |
Fukuda T, et al. 2021 22 | Study design: Retrospective cohort Study period: 2013-2015 Setting: uncomplicated gram-negative bacteremia patient, community hospital Participants: 66 |
Pharmacists perform an antimicrobial time-out at 72 hours after blood culture collection, optimized treatment based on the patient’s clinical response and test results Comparator: no pharmacist and no ID physician |
- Decrease duration of antimicrobial treatment (8 vs 14 days, P < .001) | - Higher trend of de-escalation rate (P = .08) - Similar clinical success and failure, recurrence, infectious diseases re-admission, Clostridioides difficile infection, and 30- and 60-day mortality rates |
Nakamura S, et al. 2021 23 | Study design: Retrospective study Study period: 2018-2019 Setting: Community hospital Participants: 535 |
Pharmacists perform daily follow up, ASP team weekly round Comparator: preintervention period |
- Increase in rate of orders for blood culture (56.3% vs 73.3%, P < .01) - Increased rate of de-escalation (10.2% vs 30.8%, P < .05) - Decrease in piperacillin/tazobactam and carbapenems consumption (P < .01) |
- No different in 30-day mortality - Decrease 30-day recurrence rate (14.7% vs 7.5%, P < .05) - Acceptance rate of pharmacist’s intervention 94.1% |
Ohashi K, et al. 2018 24 | Study design: Historical-control trial Study period: N/A Setting: MRSA bacteremia patient, Municipal hospital Participants: 94 |
Pharmacists received an alert of blood cultures positive for MRSA and immediate intervention according to the bundle Comparator: preintervention period |
- Increase in compliance rate with the appropriate duration of therapy (44.8% vs 72.1%, P = .027), early use of anti-MRSA drugs (62.3% vs 82.4%, P = .038), higher rate of negative follow-up blood cultures (40% vs 80%, P < .001) | - Decrease in 30-day mortality (41.8% vs 21.6%, P = .044) - Decrease in hospital mortality (58.1% vs 27.5%, P = .003) |
Hasegawa S, et al. 2021 25 | Study design: Pre and post intervention, crossover trial Study period: 2018-2019 Setting: inpatient tertiary care hospital Participants: 587 patients prescribed IV vancomycin |
Time-out intervention between clinical pharmacist-led time-out arm and an ID physician-led time-out arm Comparator: pre-prescription authorization |
- Decrease in weekly vancomycin DOT per 1000 patient-day in phase 2 (coefficient −0.49, P = .007) - Decrease in antimicrobial usage in the pharmacist-led arm (coefficient −0.77, P = .007) |
- Higher proportion of vancomycin discontinuations within 72 hours in phase 2 - Similar mean vancomycin use, median length of stay, and in-hospital mortality |
Takito S, et al. 2020 26 | Study design: pre and post intervention Study period: 2013-2017 Setting: Skilled nursing facility Participants: N/A |
Pharmacists provided prescription recommendations to physicians based on Gram stain results Comparator: preintervention period |
- Reduction in the slope of total number of all antimicrobials prescriptions per 100 residents per month (IRR 0.885, P < .001) | - Decrease in number of prescriptions for macrolides and fluoroquinolones per 100 residents per month (P = .154 and .753) - Similar number of prescriptions for cephalosporins per 100 residents per month |
Thailand | ||||
Apisarnthanarak A, et al. 2015 5 | Study design: Quasi-experimental, prospective, concurrent groups Study period: Jan 2012-Sep 2012 Setting: Medicine ward, tertiary-care hospital Participants: 574 |
Pharmacists perform PPAF Comparator: standard of care |
- Less likely to use antibiotic inappropriately (P < .001) | - More antibiotic de-escalation (P < .001) - less duration of antibiotic use < 7 days (P < .001) - Shorter hospital length of stay (P < .001) - No difference in mortality |
Rattanaumpawan P, et al. 2018 6 | Study design: Randomized controlled trial Study period: Feb – Sep 2013 Setting: Medicine ward, tertiary-care hospital Participants: 1632 |
Pharmacists perform PPAF Comparator: ID clinicals fellow perform PPAF |
- Non-inferiority in clinical response rate (44.9% vs 39.7%, P = .20, difference 5.15%, 95% CI 2.69 – 12.98%) | - Similar in microbiological outcomes, antibiotic-associated complications, antibiotic consumption, antibiotic expenditure, and length of stay |
Jantarathaneewat K, et al. 2021 27 | Study design: Quasi-experimental, prospective, concurrent groups Study period: Aug 2019 – April 2020 Setting: Febrile neutropenic patient, tertiary-care hospital Participants: 90 |
Pharmacist performed daily PPAF and education Comparator: standard ASP |
- Increase appropriateness of prescription (88.9% vs 51.1%, P < .001) | - Trend to lower meropenem, ceftazidime and cefepime similar 30-day ID mortality and length of stay - Acceptance rate of pharmacist’s recommendation 93.8% |
Jantarathaneewat K, et al. 2022 13 | Study design: Quasi-experimental, prospective, concurrent groups Study period: 2019-2020 Setting: Medicine ward, tertiary-care hospital Participants: 400 |
ID pharmacist Daily prospective audit and feedback Comparator: standard ASP group |
- Guideline adherence was higher in intervention group (79% vs 56.6%, P < .001) | - Trend to decrease 30-day all-cause mortality (15.9% vs 1.5%, P = .344) - Trend towards improved Clinical cure rate (63.6% vs 56.1%, P = .127) - Decrease Carbapenems consumption (P =.042) - Decrease Incidence of multidrug resistant pathogens (P = .049) - Similar Length of stay (P = .085) |
China | ||||
Li Z, et al. 2017 30 | Study design: Prospective cohort study Study period: March – April 2014 Setting: Intensive care units, multicenter Participants: 577 |
Pharmacists in 4 ICUs perform daily ward round and communicate with physician when inappropriate are prescribed Control: other 4 ICUs without pharmacists’ involvement |
- Lower all-cause hospital mortality (19.3% vs 29.0%; P = .007) | - Reduce multidrug resistance (31.7% vs 23.8%, P = .037) - Less inappropriate third- and fourth-generation cephalosporin initiation (9.1% vs 15.2%, P = .031) - Shorter duration of mechanical ventilation (P = .184), length of stay in ICU (P = .227), and length of stay in hospital (P = .544) - Acceptance rate of pharmacist’s recommendation 71.9% |
Du Y, et al. 2020 31 | Study design: Retrospective study Study period: 2016-2018 Setting: Gastroenterology ward, tertiary-care hospital Participants: 1763 |
Pharmacists perform daily ward rounds with physicians, regular review of medical orders, monthly indicator feedback, frequent physician training, and necessary patient education Comparator: pre intervention period |
- Decrease in intensity of antibiotic consumption (coefficient −0.88, P = .01) | - Decrease in proportion of patients receiving combined antibiotics (coefficient −9.91, P = .03) - Decrease in average length of hospital stay (coefficient −1.79, P = .00) - Temporary increase in patients receiving antibiotics (coefficient 4.95, P = .038) |
Zhou Y, et al. 2015 32 | Study design: prospective study with historical controls Study period: 2010-2013 Setting: Department of urology, tertiary-care hospital Participants: 234 |
Pharmacists led the antibiotic stewardship program at the hospital and on the urological clinical service; performed prospective audits and feedback from 2011 to 2013 Comparator: no pharmacist involvement period (2010) |
- Decrease in antibiotic use density by 58.8% - Average antibiotic cost decreased by US $246.94 |
N/A |
Xu J, et al. 2022 33 | Study design: Quasi-experimental, concurrent groups, retrospective Study period: 2018-2019 Setting: Department of Vascular and interventional radiology, Tertiary hospital Participants: 1026 |
Pharmacists perform Daily PPAF and guideline development Comparator: ASP team without pharmacist group |
- Average score of inappropriate antimicrobials decreases in intervention group: perioperative antimicrobial prophylaxis (coefficient −0.207, P < .001), Non-surgical antimicrobial prophylaxis (coefficient −0.164, P = .010), Therapeutic use of antibiotics (coefficient −0.0694, P = .003) | - Decreased antimicrobial consumption (P = .017) - Decreased antimicrobial cost (P = .006) - Decreased average cost per defined daily dose (P < .001) - Similar total cost of hospitalization (P = .476) and length of hospital stay (P = .375) - Acceptance rate of pharmacist’s recommendation 52.78% for non-surgical prophylaxis, 76.69% for surgical prophylaxis, 86.18% for treatment |
Zhou H, et al. 2021 34 | Study design: pre-and postintervention study Study period: June 2018- March 2019 Setting: Orthopedics department in a tertiary-care hospital Participants: 873 |
Pharmacist-led ASP team participated in ward rounds, reconciled patient’s allergy history, education, and performed standard intradermal skin test with the perioperative antibiotic prophylaxis regimen Comparator: pre-intervention period |
- Decrease in the utilization of intradermal skin tests, from 95.8% to 16.5% (P < .001) - More cephalosporins used as prophylactic antimicrobial (P < .001) - Reduced antimicrobial expenditure by US $150.21 (P < .001) for each patient |
- postintervention population was less likely to undergo an intradermal skin test (OR: 0.008, 95% CI: 0.005–0.014) - Patients in postintervention group had a 5.3-fold higher likelihood (95% CI: 2.95–9.43) of having cephalosporin as prophylactic antimicrobials |
Wang H, et al. 2019 35 | Study design: Retrospective study Study period: July 2010- Dec 2016 Setting: Tertiary-care hospital Participants: patients with outpatient prescription (17,766,637) and inpatient prescriptions (376,627) |
ASP interventions led by pharmacists such as formulating the activity program and performance management, advising on antibacterial prescriptions and training Comparator: baseline period |
- Decreased in the number of antibiotic prescriptions in the inpatient setting by 59% (P < .05) and the outpatient setting by 33% (P < .05) each month - Decreased number of of antibiotic prophylaxis by 5.71% (P < .001) each month - Decrease DDD from 102.46 to 37.38 DDD/100 bed-days (P < .05) - Significant decrease in resistance rates among E. coli and P. aeruginosa isolates to fluoroquinolones - Significant decrease in the incidence of MRSA - Significant increase in resistance rates of E. coli and K. pneumoniae to carbapenems |
- Increase rational timing of initial dose and rational duration |
Zhang J, et al. 2020 36 | Study design: prospective, multicenter cohort study Study period: April 2017- Dec 2019 Setting: 17 acute care hospitals across Guizhou Province Participants: 2663 with confirmed infections |
Pharmacist conducted a chart review and provided recommendation to clinician | - More effective clinical response was observed in patients whose provider accepted the ASP recommendation intervention group (81.34% vs 67.16%, P < .001) | - non-ID pharmacist showed similar effective clinical response to ID pharmacist (P = .896) - Acceptance rate of pharmacists ‘recommendation was 5.0% |
Xu S, et al. 2021 37 | Study design: retrospective, observational pre-and post-intervention study Study period: 2018-2020 Setting: tertiary-care hospital Participants: 524 patients with community-acquired pneumonia eligible for IV to PO conversion |
Prescribers were contacted by pharmacists about patients who were eligible for IV to oral antibiotic switches through computer- generated messages (phase 2) Comparator: prescribers were contacted bypharmacists who verbally informed them of patients who were eligible for an IV to oral conversions (phase 1) | - Increased proportion of patients who were converted to oral therapy on the day they were eligible from 34.8% in phase 1 to 62.7% in phase 2 (P < .05) | - Shorter lengths of IV antibiotic therapy days and hospital stay (P < .05) - Similar total length of antibiotic therapy day (P > .05) |
Korea | ||||
Song JY, et al. 2015 38 | Study design: pre and post intervention Study period: 2013 Setting: patient who received double anti-aerobic activity, Tertiary-care hospital Participants: 313 |
Pharmacists perform education and PPAF along with ID physician Comparator: preintervention period |
- Decrease number of patients receiving unnecessary double anti-aerobic activity more than 3 days (26.8 vs 7, P = .005) - Decrease proportion of patients receiving unnecessary double anti-aerobic activity more than 3 days (42.3% vs 13.6%, P < .001) |
- Acceptance rate of pharmacist’s recommendation 93.9% |
Suh Y, et al. 2021 39 | Study design: retrospective study Study period: Jan-March 2017 Setting: multicenter, Tertiary hospital Participants: 4995 |
ASP with pharmacist involvement who intervene in antimicrobial prescription, perform TDM and monitored antimicrobial-related adverse drug event Comparator: ASP without pharmacist involvement |
- Less incidence proportion of antimicrobial-related adverse event (8.9% vs 14.7%, P < .001) | - multidisciplinary ASPs including clinical pharmacists reduced the risk of antimicrobial-related ADEs by 38% (adjusted odds ratio 0.62; 95% CI 0.50–0.77) |
India | ||||
Nampoothiri V, et al. 2021 40 | Study design: Descriptive study Study period: 2016-2017 Setting: Tertiary care hospital Participants: 1326 |
Pharmacists perform daily PPAF Comparator: baseline period |
- Increase appropriateness to 80% in the third year of intervention period - Decrease in antimicrobial consumption |
- Decrease in antimicrobial consumption - Acceptance rate of pharmacist’s recommendation 70% |
DDD, defined daily dose; HA-CDI, hospital-acquired Clostridioides difficile infection; ID, infectious diseases; IRR, incidence rate ratios; IV-PO conversion, intravenous to oral antibiotic conversion ; MRSA, Methicillin-resistant Staphylococcus aureus; TDM, therapeutic drug monitoring; PPAF, prospective audits and feedback.