| Literature DB >> 25392736 |
Maarten van Limburg1, Bhanu Sinha2, Jerome R Lo-Ten-Foe2, Julia Ewc van Gemert-Pijnen1.
Abstract
BACKGROUND: Antibiotic resistance is a global threat to patient safety and care. In response, hospitals start antibiotic stewardship programs to optimise antibiotic use. Expert-based guidelines recommend strategies to implement such programs, but local implementations may differ per hospital. Earlier published assessments determine maturity of antibiotic stewardship programs based on expert-based structure indicators, but they disregard that there may be valid deviations from these expert-based programs. AIM: To analyse the progress and barriers of local implementations of antibiotic stewardship programs with stakeholders in nine Dutch hospitals and to develop a toolkit that guides implementing local antibiotic stewardship programs.Entities:
Keywords: Antibiotic stewardship programs; Evaluation; Hospital infections; Implementation; Maturity
Year: 2014 PMID: 25392736 PMCID: PMC4228167 DOI: 10.1186/2047-2994-3-33
Source DB: PubMed Journal: Antimicrob Resist Infect Control ISSN: 2047-2994 Impact factor: 4.887
Overview of literature scan and extracted implementation topics
| # | Author (s) | Year | Title | Study description | Extracted implementation topics |
|---|---|---|---|---|---|
|
| Bannan, Buono, McLaws, Gottlieb | 2009 | Survey of medical staff attitudes to an antibiotic approval and stewardship program | Design: | - restriction as intervention |
| Questionnaire with 40 questions focused on restriction and approval | - authorization as intervention | ||||
| Interest: | - advice as communication | ||||
| - education as intervention | |||||
| Attitude | - stop-order (withholding pharmacy) as intervention | ||||
| - costs, appropriate use, resistance, time as outcomes | |||||
| - pager as communication | |||||
| - possible stakeholders in team | |||||
|
| Barlam, DiVall | 2006 | Antibiotic-stewardship practices at top academic centers throughout the united states and at hospitals throughout Massachusetts | Design: | - multifaceted programs |
| Two surveys | - time of start with ASP | ||||
| Interest: | - funding/financial support | ||||
| ASP components | - (formulary) restriction as intervention | ||||
| - solicited input from ID as communication | |||||
| - costs, improved use, adverse effects, resistance, compliance, DDDs, clinical outcomes as outcomes | |||||
| - aiming prophylaxis | |||||
| - aiming only targeted antibiotics | |||||
| - aiming antibiotic therapy at order | |||||
| - aiming initial therapy | |||||
| - recommendations as intervention (day 3 bundle) | |||||
| - culture data as communication | |||||
| - possible stakeholders in team | |||||
| - approval as intervention | |||||
| - review as communication | |||||
| - consult as communication | |||||
| - computerized order entry as communication | |||||
| - stop-order as intervention | |||||
| - IV-PO switch as intervention | |||||
| - clinical practical guidelines as intervention | |||||
| - evaluation as intervention (benchmarking) | |||||
| - support and time needed from physicians | |||||
| - rounds, didactics, program, consults/feedback as education | |||||
|
| Burgmann, Janata, Allerberger, Frank | 2008 | Hospital antibiotic management in Austria – results of the ABS maturity survey of the ABS International group | Design: | - data evaluation as intervention (benchmarking) |
| Survey | - AB consumption data as outcomes | ||||
| Interest: | - hospital/department/ward levels of benchmarking | ||||
| 5 categories of maturity | - feedback of benchmarking as communication | ||||
| - possible stakeholders in team | |||||
| - guidelines for dosage, drug costs, IV-PO switch | |||||
| - guidelines for antibiotic treatment | |||||
| - guidelines for prophylaxis | |||||
| - education as intervention (seminars, literature) | |||||
| - financial resources | |||||
| - cooperation with other hospitals | |||||
|
| Buyle, Metz-Gercek, Mechtler, Kern, Robays, Vogelaers, Struelens | 2013 | Development and validation of potential structure indicators for evaluating antimicrobial stewardship programmes in European hospitals | Design: | - bedside advice as communication |
| Expert panel + validation survey | - rounds as intervention | ||||
| - frequency of team meetings | |||||
| Interest: | - audit as intervention | ||||
| Potential structure indicators for ASP | - possible stakeholders in team | ||||
| - formulary as intervention | |||||
| - updating formulary | |||||
| - stop order as intervention | |||||
| - guidelines for microbiological documented therapy, empirical therapy, prophylaxis, iv-po switches | |||||
| - updating guidelines | |||||
| - clinical decision aid as IT | |||||
| - mandate from management | |||||
| - FTEs | |||||
| - Education as interventions | |||||
| - passive methods, interactive methods as education | |||||
| - evaluation as intervention | |||||
| - resistance data, consumption data, | |||||
| - hospital/department/ward levels of benchmarking | |||||
| - total DDDs, # of infections as outcomes | |||||
|
| Cooke, Alexander, Charani, Hand, Hills, Howard, Jamieson, Lawson, Richardson, Wade | 2010 | Antimicrobial stewardship: an evidence-based, antimicrobial self-assessment toolkit (ASAT) for acute hospitals | Design: | - guidelines as intervention |
| ASAT toolkit (checklist) | - formulary as intervention | ||||
| Interest: | - restriction as intervention | ||||
| Levels of antimicrobial stewardship | - IV-PO switches as intervention | ||||
| - guidelines for prophylaxis as intervention | |||||
| - adherence as outcome | |||||
| - education as intervention | |||||
| - training as education | |||||
| - information systems as IT | |||||
| - digital prescribing as IT | |||||
| - possible stakeholders in team | |||||
|
| Dumartin, Rogues, Amadeo, Pefau, Venier, Parneix, Maurain | 2011 | Antibiotic stewardship programmes: legal framework and structure and process indicator in Southwestern French hospitals, 2005–2008 | Design: | - frequency in meetings |
| Survey | - available human resources | ||||
| Interest: | - digital prescription, pharmaceutical analysis, dispensation, digital link between lab, pharm, wards as IT | ||||
| Checking whether legal framework is present | - restriction as intervention | ||||
| - stop order as intervention | |||||
| - first-line, prophylaxis as guidelines | |||||
| - audits as intervention/communication | |||||
| - evaluation feedback as communication | |||||
| - education as intervention | |||||
| - Formulary as intervention | |||||
| - ab consumption as benchmarking | |||||
| - DDDs, resistance as outcomes (and communication) | |||||
| - possible stakeholders in team | |||||
|
| van Gastel, Costers, Peetermans, Struelens | 2010 | Nationwide implementation of antibiotic management teams in Belgian hospitals: a self-reporting survey | Design: | - Possible stakeholders in team |
| Questionnaire | - consultation per phone, email, intranet, face-to-face, staff meetings as communication | ||||
| Interest: | - formulary as intervention | ||||
| Level of AMT activities | - guidelines for empirical and prophylaxis | ||||
| - updates of formulary and guidelines | |||||
| - restriction as intervention | |||||
| - approval/review as intervention | |||||
| - concurrent review/audit as intervention | |||||
| - de-escalation as intervention | |||||
| - stop order as intervention | |||||
| - order forms as intervention | |||||
| - IV-PO switch as intervention | |||||
| - consumption and resistance as outcomes | |||||
| - by hospital/unit or by antibiotic type | |||||
| - feedback of outcomes | |||||
|
| Greater New York Hospital Association | 2011 | Antimicrobial stewardship toolkit | Design: | - benchmark and review antibiotic use (patterns) |
| Best practice | - review resistance | ||||
| Interest: | - IT infrastructure | ||||
| Implementation toolkit | - possible stakeholders in team | ||||
| - aim for common infections, pathogens, agents | |||||
| - rollout: hospital vs. ward | |||||
| - available resources | |||||
| - strategy: | |||||
| - guidelines for diagnosis, treatment, duration, dose optimization, IV-PO, streamlining/de-escalation | |||||
| - formulary as intervention | |||||
| - restriction as intervention | |||||
| - education as intervention | |||||
| - prospective review as intervention | |||||
| - stickers, notes, face-to-face as communication | |||||
| - data collection (benchmarking) | |||||
| - usage, clinical, microbiologic, costs as data | |||||
|
| Hulscher, Grol, van der Meer | 2010 | Antibiotic prescribing in hospitals: a social and behavioral scientific approach | Design: | - formulary as intervention |
| Review | - order form as intervention | ||||
| Interest: | - restriction as intervention | ||||
| socio-cultural factors of ASP | - stop orders as intervention | ||||
| - infection control committee | |||||
| - guidelines as intervention | |||||
| - review as intervention | |||||
| - rounds as intervention | |||||
| - telephone advice as intervention | |||||
| - improve infrastructure | |||||
| - education as intervention | |||||
| - conferences, seminars, skill training programs as education | |||||
| - individual instructions (outreach, academic detailing) | |||||
| - feedback of outcomes | |||||
| - decision support via IT | |||||
|
| Nault, Beaudoin, Thirion, Gosselin, Cossette, Valiquette | 2008 | Antimicrobial stewardship in acute care centres: survey of 68 hospitals in Quebec | Design: | - Duration of ASP or busy setting up |
| Questionnaire | - distributed units, DDDs, acquisition costs as benchmarking data | ||||
| Interest: | - direct interaction as intervention (written or phone) | ||||
| Proportion and nature of programs | - education as intervention | ||||
| - stop orders as intervention | |||||
| - auto substitution | |||||
| - formulary restriction as interventions | |||||
| - local guidelines as intervention | |||||
| - preauthorization as intervention | |||||
| - antibiotic cycling as intervention | |||||
| - decision support systems as intervention | |||||
| - possible stakeholders in team | |||||
|
| Pulcini, Williams, Molinari, Davey, Nathwani | 2011 | Junior doctors’ knowledge and perceptions of antibiotic resistance and prescribing: a survey in France and Scotland | Design: | - local guidelines as intervention |
| Survey | - presence of team- | ||||
| Interest: | - approval as intervention | ||||
| Perception and prescribing practice | - IV-PO switch protocol | ||||
| - advice from ID physician, senior, microbiologist, pharmacist or team as intervention | |||||
| - face-to-face, phone, consult upon request as communication | |||||
| - lectures, workshops, informal education, web-based learning, self-directed learning as education | |||||
| - possible stakeholders in team | |||||
| - computer aided prescribing as IT | |||||
| - resistance data availability | |||||
|
| Thern | 2013 | Selection of hospital antimicrobial prescribing quality indicators: | Design: | - possible stakeholders in team |
| a consensus among German antibiotic stewardship (ABS) networkers | Review+ | - frequency of meetings | |||
| questionnaire | - mandate | ||||
| Interest: | - drug use, resistance rates as data | ||||
| Indicators for quality of AB prescribing | - formulary as intervention | ||||
| - updating formulary | |||||
| - restriction/approval as intervention | |||||
| - guidelines for empiric therapy, IV-PO, dosing, prophylaxis, | |||||
| - rounds as intervention | |||||
| - education as intervention | |||||
| - guidance or assisted decision analysis via IT | |||||
|
| Trivedi, Rosenberg | 2013 | The state of antimicrobial stewardship programs in California | Design: | - implemented or planned ASP |
| Survey | - time of start with ASP | ||||
| Interest: | - possible stakeholders in team | ||||
| State of ASP | - FTE availability | ||||
| - - funding | |||||
| - benchmarking as intervention | |||||
| - DDDs, DOTs, costs, acceptance of recommendations, improved susceptibility patterns as data | |||||
| - use of IT in ASP | |||||
| - electronic health record, digital prescription, electronic medication administration records as IT | |||||
| - formulary restriction as intervention | |||||
| - ID physician consult as intervention | |||||
| - audit as intervention | |||||
| - prior approval as intervention | |||||
| - auto stop orders as intervention | |||||
| - verbal approval as intervention | |||||
| - pre-authorization as intervention | |||||
| - education as intervention | |||||
| - guidelines as intervention | |||||
| - IV-PO switch as intervention | |||||
| - streamlining/de-escalation as intervention | |||||
| - order forms as intervention |
*) DDDs: daily defined doses; DOT: days of therapy; FTE: full-time equivalent; ID: infectious diseases; IV-PO: intravenous-per os; IT: information technology.
Maturity of ASP interventions in academic and non-academic hospitals
| Academic hospitals | Non-academic hospitals | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Impl | In dev | Need | Unneed | N/A* | Impl | In dev | Need | Unneed | N/A* | |
| Antibiotic team | 6 (75%) | 2 (25%) | - | - | 6 (55%) | 5 (45%) | - | - | - | |
| (Local) antibiotic guidelines | 7 (88%) | 1 (12%) | - | - | - | 9 (82%) | 2 (18%) | - | - | - |
| Antibiotic formulary | 7 (88%) | 1 (13%) | - | - | - | 8 (73%) | 2 (18%) | 1 (9%) | - | - |
| Audit-and-feedback | 3 (38%) | 2 (25%) | 2 (25%) | - | 1 (13%) | - | 4 (36%) | 6 (55%) | 1 (9%) | - |
| Education | 4 (50%) | 4 (50%) | - | - | - | 2 (18%) | 8 (73%) | 1 (9%) | - | - |
| Information systems for ASP | 2 (25%) | 1 (13%) | 5 (63%) | - | - | 2 (18%) | 4 (36%) | 3 (27%) | - | 2 (18%) |
| Benchmarking | 4 (50%) | 3 (38%) | - | 1 (13%) | - | 1 (9%) | 7 (64%) | 2 (18%) | - | 1 (9%) |
| Restriction | 2 (25%) | 4 (50%) | 1 (13%) | 1 (13%) | 5 (45%) | 3 (27%) | 1 (9%) | 2 (18%) | ||
| Academic detailing | 1 (13%) | 3 (38%) | 3 (38%) | - | 1 (13%) | 2 (18%) | 2 (18%) | 4 (36%) | - | 3 (27%) |
| Automatic stop-order | - | 1 (13%) | 4 (50%) | 2 (25%) | 1 (13%) | - | 4 (36%) | 3 (27%) | 2 (18%) | 2 (18%) |
| Pre-authorization | 1 (13%) | 1 (13%) | 3 (38%) | 1 (13%) | 2 (25%) | - | 2 (18%) | 3 (27%) | 1 (9%) | 5 (45%) |
| Automatic substitution | - | 1 (13%) | 2 (25%) | 5 (63%) | - | 1 (9%) | 3 (27%) | 2 (18%) | 5 (45%) | |
| Antibiotic cycling | - | 1 (13%) | 1 (13%) | 4 (50%) | 2 (25%) | - | - | 5 (45%) | 2 (18%) | 4 (36%) |
*) Impl: implemented; in dev: in development; need: are needed; unneed: are unneeded; N/A: no answer or not applicable.
Composition of antibiotic team in academic and non-academic hospitals
| Academic hospitals | Non-academic hospitals | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Impl | In dev | Need | Unneed | N/A* | Impl | In dev | Need | Unneed | N/A* | |
| Clinical microbiologist | 8 (100%) | X | - | - | 9 (82%) | X | 1 (9%) | - | 1 (9%) | |
| Infectious disease physician | 8 (100%) | X | - | - | 5 (45%) | X | - | 1 (9%) | 5 (45%) | |
| Clinical pharmacist | 7 (88%) | X | 1 (13%) | - | 9 (82%) | X | 1 (9%) | - | 1 (9%) | |
| Member of antibiotic committee | 5 (63%) | X | 1 (13%) | - | 2 (25%) | 4 (36%) | X | 3 (27%) | 1 (9%) | 3 (27%) |
| Prescribing physician | 4 (50%) | X | - | 3 (38%) | 1 (13%) | - | X | 4 (36%) | 3 (27%) | 4 (36%) |
| Hygienist | 1 (13%) | X | 3 (38%) | 3 (38%) | 1 (13%) | 1 (9%) | X | 3 (27%) | 4 (36%) | 3 (27%) |
| IT specialist | - | X | 3 (38%) | 4 (50%) | 1 (13%) | - | X | 4 (36%) | 5 (45%) | 2 (18%) |
| Nurse | - | X | 3 (38%) | 3 (38%) | 2 (25%) | - | X | 2 (18%) | 5 (45%) | 4 (36%) |
| Epidemiologist | 1 (13%) | X | 4 (50%) | 1 (13%) | 2 (25%) | - | X | 1 (9%) | 4 (36%) | 6 (55%) |
| Management | - | X | - | 6 (75%) | 1 (13%) | - | X | 2 (18%) | 6 (55%) | 2 (18%) |
| Supervising physician | 1 (13%) | X | 1 (13%) | 5 (63%) | 1 (13%) | - | X | 1 (9%) | 6 (55%) | 4 (36%) |
*) Impl: implemented; in dev: in development; need: are needed; unneed: are unneeded; N/A: no answer or not applicable.
Status of antibiotic guidelines in academic and non-academic hospitals
| Academic hospitals | Non-academic hospitals | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Impl | In dev | Need | Unneed | N/A* | Impl | In dev | Need | Unneed | N/A* | |
| Diagnosis of infections | 8 (100%) | - | - | - | - | 4 (36%) | - | 3 (27%) | - | 4 (36%) |
| Treatment of infections | 8 (100%) | - | - | - | - | 7 (64%) | 2 (18%) | - | - | 2 (18%) |
| Antibiotic therapy | 8 (100%) | - | - | - | - | 10 (91%) | 1 (9%) | - | - | - |
| Duration of therapy | 7 (88%) | - | 1 (13%) | - | - | 5 (45%) | 2 (18%) | 3 (27%) | - | - |
| Prophylaxis | 8 (100%) | - | - | - | - | 10 (91%) | 1 (9%) | - | - | - |
| IV-PO switches | 5 (63%) | - | 3 (38%) | - | - | 3 (27%) | 4 (36%) | 4 (36%) | - | - |
| De-escalation/streamlining | 3 (38%) | 1 (13%) | 4 (50%) | - | - | 1 (9%) | 4 (36%) | 5 (45%) | - | - |
*) Impl: implemented; in dev: in development; need: are needed; unneed: are unneeded; N/A: no answer or not applicable.
Figure 1Preferences for audit.
Figure 2Preferences for education.
Status of information systems for ASP in academic and non-academic hospitals
| Academic hospitals | Non-academic hospitals | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Impl | In dev | Need | Unneed | N/A* | Impl | In dev | Need | Unneed | N/A* | |
| Electronic health records | 5 (63%) | 2 (25%) | 1 (13%) | - | - | 9 (82%) | 2 (18%) | - | - | - |
| Digital laboratory data | 6 (75%) | 1 (13%) | 1 (13%) | - | - | 6 (55%) | 1 (9%) | 3 (27%) | - | 1 (9%) |
| Digital antibiotic use data | 7 (88%) | - | - | - | 1 (13%) | 4 (36%) | 3 (27%) | 2 (18%) | - | 2 (18%) |
| Digital precribing | 8 (100%) | - | - | - | - | 7 (64%) | 3 (27%) | 1 (9%) | - | - |
| Evaluation of prescription | 2 (25%) | 4 (50%) | 2 (25%) | - | - | 1 (9%) | 2 (18%) | 5 (45%) | - | 3 (27%) |
| Decision support systems | 1 (13%) | 2 (25%) | 3 (38%) | - | 2 (25%) | 1 (9%) | 4 (36%) | 4 (36%) | 1 (9%) | 1 (9%) |
| Surveillance | 6 (75%) | 1 (13%) | - | 1 (13%) | 3 (27%) | 4 (36%) | 4 (36%) | - | - | |
*) Impl: implemented; in dev: in development; need: are needed; unneed: are unneeded; N/A: no answer or not applicable.
Figure 3Preferences for data sources for benchmarking. *) DDDs: daily defined doses; DOT: days of therapy.
Figure 4Ranking of relative importance of ASP interventions.