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Reducing bcc in ed through an enp 8 dec 2016 final
1. Reducing Blood Culture Contamination in
Emergency Department Through an
Educational Nursing Program
Wilfredo Ebreo Maan
College of Arts and Science
Department of Nursing
Lamar University
MSNC 5311 Fall 2016
2. Blood cultures are considered the “gold standard” and
the most sensitive method for the detection and diagnosis
of bacteremia (Hall & Lyman, 2006, p.789).
3. Purpose of the Study
To reduce blood culture contamination in Emergency
Department through an educational nursing program.
4. Significance of the Study
Retrospective data analysis through an initial audit with
other major department showed that the contamination
rate for blood cultures in our emergency department was
4.8% which is more than the set standard (i.e. less than
3%).
5. Understanding the contamination rate in our emergency
department, which if elevated, will give me the opportunity
to improve the following: patient care/patient
safety/patient satisfaction and this study supported action
to demonstrate a cost-effective solution for the institution.
6. Statement of the Research Problem
Health care providers rely heavily on blood culture
results for developing patient’s plan of care. Contaminated
blood cultures can lead to unnecessary treatment,
hospitalization, and an increase in the patient’s length of
stay (Dawson, 2014).
7. Conceptual Framework
A conceptual model provides a coherent, unified and orderly
way of envisioning related events or processes relating to
discipline (Fawcett, 2005). The most common use of the
conceptual model is to provide an organizing structure for the
research design and methods. A second purpose is to guide the
development and testing of interventions and hypotheses based
on the tenets of the theory. A third function is to explain the
study results and place the findings within the context of science
in a particular field of investigation. The interpretations of
results flow from the conceptualization represented by the
framework (Radwin & Fawcett, 2002, Polit & Beck, 2012).
8. Stufflebeam et al. proposed a model designed to help
evaluators generate relevant information that is useful to
the decision maker (Stufflebeam, Madaus, & Kellaghaun,
2002). This model guides and assists program evaluators
throughout the design, development, and use of the
evaluation. Stufflebeam et al.’s model is frequently referred
to as the context, input, process product (CIPP) model.
9.
10. Brief Literature Review
Contaminated blood cultures can increase patient’s
hospital stay by as much as 4.5 days and add more than
$5000 to the cost of treatment (Robert, 2011).
Contaminated blood cultures could keep patients from
rejoining their families and their jobs and from reclaiming
their daily lives (Ernst, 2004).
11. Aronson and Bor found out that blood culture
contamination is a widespread problem, with potentially up
to 50% of all positives cultures testing positive due to the
presence of contaminants.
A study by Shekar et al. has shown that trained phlebotomist
or blood-culture teams can reduce contamination rates in an
individual institution.
12. Research Question
Does an educational nursing program decrease blood
culture contamination rate in emergency department?
13. Research Design
Quantitative research is most often about the
quantifying relationship between or among variables – the
independent or predictor variable and the dependent or
outcome variable. This study will utilize Quasi-
experimental design which will examine the cause-and-
effect relationship between independent and dependent
variable (Burns & Grove, 2007).
14. Assumptions, Limitations, and Delimitations
In conducting this study, it was assumed that respondents
would utilize the gain knowledge, skills and technique of
drawing blood culture specimen after attending the
educational nursing program. With this education nursing
program, it is assumed that it will decrease the contamination
rate in the department.
15. Limitations of this study included the fact the study is
confined to a 35-bed emergency center (EC) of a Level III
hospital on the East side of Houston. The sample size will
be limited and restricted to only one hospital.
16. The participants of this study will include full time, part
time, and PRN Registered Nurses who are employed by this
facility and has attended the Nursing Orientation program
Blood Collection Protocol during the new hire orientation
week as well as the 2-day class which will be provided by
the EC Nurse Educator.
17. Sample
The study will be conducted in a 35-bed emergency
center in a Level III trauma hospital in Houston with
approximately 70,000 patient visits per year. Each month,
on average the EC takes 900 sets of blood culture
collection.
18. Plan for Data Analysis
Based on the level of measurement and number of variables,
one of the statistical models that apply to this study is analysis of
variance (ANOVA) (Burns & Grove, 2007).
The Pearson correlation coefficient r can take a range of
values from +1 to -1. A value of 0 indicates that there is no
association between the two variables (Burns & Grove, 2007).
Bivariate analysis is one of the simplest forms of quantitative
statistical analysis. It involves the analysis of two variables
(dependent and independent) for the purpose of determining
the empirical relationship between them (Burns & Grove, 2007).
19. References
Anderson, D. E., & Palpant, S. (1998). Blood culture positive for coagulase-negative
staphylococci: Antisepsis, pseudo bacteremia, and therapy of patients. Journal
of Clinical Microbiology, 36, 1923-1926.
Aronson, M. D., & Bor, D. H. (1997). Diagnostic decision: Blood cultures. Annals of Internal
Medicine, 106, 246-253.
Burns, N., & Grove, S. K. (2007). Understanding nursing research: Building an evidence-
based practice (4th ed.). Philadelphia, PA: Saunders Elsevier.
Calfee, D. P., & Farr, B. M. (2002). Comparison of four antiseptic preparations for skin in
the prevention of contamination of percutaneously drawn blood cultures: A
random trial. Journal of Clinical Microbiology, 40(5), 1660-1665. doi:
10.1128/JCM.40.5.1660-1665.2002
Carter, D. E., & Porter, S. (2011). Validity and reliability. The research process in nursing,
4, 29-42.
Dawson, S. (2014). Blood culture contaminants. Journal of Hospital Infection, 87(1), 1-10.
doi: 10.1016/j.jhin.2014.02.009
Denno, J. (2012). Practical steps to lower blood culture contamination rates in the
emergency department. Journal of Emergency Nursing, 39(5), 459-464. doi:
10.1016/j.jen.2012.03.006
Dubrowski, A., & Morin, M. (2011). Evaluating pain education programs: An integrated
approach. Pain Research and Management, 16(6), 407-410. Retrieved from
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298042/
Ernst, D. J. (2004). Controlling blood culture contamination rates. Medical Laboratory
Observer, 36(3), 14-18.
20. Fawcett, J. (1999). The relationship of theory and research (3rd ed.). Philadelphia,
PA: F.A. Davis.
Fawcett, J. (2005). Analysis and evaluation of contemporary nursing knowledge:
Nursing models and theories. Philadelphia, PA: F.A. Davis.
Hall, K. K., & Lyman, J. A. (2006). Updated review of blood culture contamination.
Clinical Microbiology Reviews, 19, 788-802. doi: 10.1128/CMR.00062-05
Hall, R. T., Domenico, H. J., Self, W. H., & Hain, P. D. (2013). Reducing blood culture
contamination in a pediatric emergency department and subsequent cost
savings. Pediatrics, 131(1), 292-297. doi: 10.1542/peds.2012-1030
Harris, A. D., McGregor, J. C., Perencevich, E. N., Furuno, J. P., Zhu, J., Peterson, D. E., &
Finkelstein, J. (2006). The use and interpretation of quasi-experimental
studies in medical informatics. Journal of the American Medical
Informatics Association, 13(1), 16-23. doi: 10.1197/jamia.M1749
Mountain, D., Bailey, P. M., O'Brien, D., & Jelinek, G. A. (2006). Blood cultures
ordered in the adult emergency department are rarely useful. European
Journal of Emergency Medicine, 13, 76-79.
Polit, D. F., & Beck, C. T. (2012). Nursing research: Generating and assessing
evidence for nursing practice (9th ed.). Philadelphia, PA: Lippincott
Williams & Wilkins.
Radwin, L., & Fawcett, J. (2002). A conceptual model-based programme of nursing
research: Retrospective and prospective applications. Journal of Advanced
Nursing, 40(3), 255-260.
21. Robert, R. R. (2011). Reducing blood-culture contamination through an
education program. Journal of Infusion Nursing, 34(1), 49-54. doi:
10.1097/NAN.0b013e31820219c1
Siondalski, P., Siebert, J., Samet, A., Bronk, M., Krawczyk, B., & Kur, J. (2004).
Usefulness of the pcr technique for bacterial dna detection in blood of
the patients after "opened heart" operations. Polish Journal of
Microbiology, 53, 145-149.
Stufflebeam, D. L., Madaus, G. F., & Kellaghan, T. (2002). Evaluation models
viewpoints on educational and human services evaluation (2nd ed.).
Boston: Klower Academic.
Sullivan, G. M. (2011). A primer on the validity of assessment instruments.
Journal of Graduate Medical Education, 3(2), 119-120. doi:
10.4300/JGME-D-11-00075.1
Zhang, G., Zeller, N., Griffith, R., Metcalf, D., Williams, J., Shea, C., & Misulis, K.
(2011). Using the context, input, process, and product evaluation
model (cipp) as a comprehensive framework to guide the planning,
implementation, and assessment of service-learning programs.
Journal of Higher Education Outreach and Engagement, 15(4), 57-66.