| Literature DB >> 32350778 |
Diane C Halstead1, Robert L Sautter2, James W Snyder3, Arthur E Crist4, Irving Nachamkin5.
Abstract
INTRODUCTION: Blood cultures (BCs) frequently become contaminated during the pre-analytic phase of collection leading to downstream ramifications. We present a summary of performance improvement (PI) interventions provided by four hospital systems and common factors that contributed to decreased blood culture contamination (BCC) rates.Entities:
Keywords: BCC benchmark; Blood culture contamination (BCC); Interventions; Multidisciplinary team; Performance improvements
Year: 2020 PMID: 32350778 PMCID: PMC7237585 DOI: 10.1007/s40121-020-00299-1
Source DB: PubMed Journal: Infect Dis Ther ISSN: 2193-6382
Demographics of four hospital systems performing independent interventions to reduce blood culture contamination
| Hospital A | Hospital B | Hospital C | Hospital D | |
|---|---|---|---|---|
| Healthcare (HC) type | Academic Integrated HC system (IHCS) | Academic community HC system | Academic IHCS | Teaching community IHCS |
| For profit | No | No | No | No |
| Bed number | 1229 | 350 | 788 | 580 |
| Patient population | Adult Pediatric | Adult Nursery, NICU | Adult | Adult Pediatric, NICU |
| Phlebotomy | Nursing 70% Lab 30% | Lab 95% Nursing 5% | Nursing and lab, hospital dependent | Nursing 45% Lab 55% |
| BC/Year | 72,000 | 16,000 | 46,934 | 31,840 |
Common elements found in process improvement plans designed independently by four US healthcare systems
| Elements of interventions | Hospital A | Hospital B | Hospital C | Hospital D |
|---|---|---|---|---|
| Assessment phase | ||||
| (1) Multidisciplinary team | × | × | × | × |
| (2) Historic data | × | × | × | × |
| (3) BC process review | × | × | × | × |
| (4) Hospital wide target | × | × | – | – |
| (5) ED target | – | – | × | × |
| (6) Intervention period | 2007–2014 | 2014–2018 | 2014–2017 | Dec 2006–March 2007 |
| (7) Goal as low as possible | × | × | × | × |
| Action plan for intervention phase | ||||
| Collector codes or ID on BC bottles | × | × | – | – |
| IT captured data | × | – | × | × |
| Monthly* BCC surveillance reports shared with stake- holders and feedback | × | × | × *quarterly | × |
| Education/training | ||||
| (1) Online E-learning and exam | × | – | – | – |
| (2) Video | × | × | – | × |
| (3) Skills fairs, nursing days, boot camp | × | – | – | – |
| (4) Written guidelines &/or collection policy | × | × | × | × |
| (5) Observation | × | × | × | × |
| (6) Training by nurse educators/microbiologist/infection preventionist/ lab phlebotomists for one-on-one and train-the-trainers, lectures | × | × | × | × |
| (7) Engagement of staff | × | × | × | × |
| (8) Real-time BCC reports to nurse managers for counseling and retraining | × | – | – | – |
| (9) Accountability | × | × | × | × |
| Sustainment plan | ||||
| (1) Continued monitoring of BCC and data sharing | × | × | × | × |
| (2) Retraining of collectors with repeat BCC | × | × | × | × |
| (3) Quarterly retraining | – | × | – | – |
| (4) Continual education and training through at least yearly videos, skills fair/nursing days, and/or online E-learning exercises | × | × | × | × |
| (5) Component of competency program | – | – | × | × |
| (6) Component of annual review | – | × | – | – |
| (7) Quality awards | × | – | – | – |
| (8) Support from nurse managers, infection preventionists, administration | × | × | × | × |
Fig. 1Decrease in blood culture contamination over time in four hospital sytems following interventions. For each hospital shown in this figure, p values are indicated when significant for comparison of BCC rates from the previous rate
| Blood cultures are one of the most common tests performed for evaluation of patients with suspected bloodstream infections. |
| False-positive blood cultures, i.e., contaminated cultures, result in delayed diagnosis, unnecessary use of antibiotics, and additional health care costs. |
| Blood culture contaminations were significantly reduced at four different hospital systems with a variety of approaches. |
| Laboratory-driven, multidisciplinary teams can devise a number of little to no cost interventions to drive down blood culture contamination rates. |
| We propose a benchmark of 1.5–2.0% contamination rates that are achievable and sustainable. |