Mathematics Anxiety and Mathematics Self-efficacy in Relation to Medication Calculation Performance in Nurses Page: 1
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This chapter includes the following sections: (a) Background, (b) Significance of Study,
(c) Theoretical Framework, (d) Purpose of the Study (e) Research Questions and Statistical
Hypothesis, (f) Delimitations, (g) Limitations, (h) Definition of Terms, and (i) Summary.
Safety in the medical profession has become an increasingly central issue in the field due
to medical errors, including medication calculation errors. Public outcry has magnified the issue
of patient safety and has become a debated topic in the socio/economic, political, and medical
communities. Safety has been improved in the aviation, nuclear, and chemical industries over the
last several decades (Amalberti, Auroy, Berwick, & Barach, 2005), but the medical profession is
considered to be far behind in putting in place "safety nets" in medication procedures and
practices leading to a great number of medical errors. "Experts agree that as many as 98,000
patients die in any given year from medical errors that occur in hospitals. That's more than by
motor vehicle accidents, breast cancer or AIDS" (Kohn, Corrigan, & Donaldson, 2000;
Schoening, Sittner, & Todd, 2006, p. 253). To demonstrate the gravity of this issue; Figure 1
shows fatal iatrogenic adverse events to be nearly as common as fatal events in Himalayan
mountaineering (Amalberti et al., 2005, p. 758). In other words, a person has almost the same
risk of dying when going to the hospital as when attempting to climb Mount Everest. "Every
year, an estimated one million errors occur and as many as 100,000 people die from medical
mistakes" (Pioneer Institute, 2009, para. 2). Fatal iatrogenic adverse events that occur in the
health care facility include wrong site surgery, patient falls, transfusion errors, medication errors
including wrong drug, wrong dosage, and wrong route of administration, among others (Joint
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Melius, Joyce. Mathematics Anxiety and Mathematics Self-efficacy in Relation to Medication Calculation Performance in Nurses, dissertation, May 2012; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc115119/m1/9/: accessed December 12, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .