This chapter will introduce you to the rationale for advanced statistical preparation in nursing. This chapter will prepare you to:
The healthcare environment is fast paced and constantly changing. Shortly after passage of the Affordable Care Act in 2010, for example, nurses and other healthcare providers were already contemplating its impact on their duties (Patient Protection and Affordable Care Act of 2010, 2019). We had embraced recommendations from the Institute of Medicine (IOM, 2010) with regard to the scope of practice for nurses and, among other things, had embarked on sweeping changes in nursing education to advance the doctorate as the expected educational preparation for advanced nursing practice. In hindsight, much of what we thought would be a force for change in nursing practice, education, and health care has happened, leading to a better understanding of the effects of those events.
We continue to grapple with the implementation of the Affordable Care Act (2019), changes in the administration of the Act, and its influence on the number of uninsured in the United States. Increasing the number of Americans with health insurance increases access to healthcare services; however, along with an aging population, it has also resulted in a steeply increasing demand for primary care providers such as nurse practitioners (U.S. Department of Health and Human Services, 2013). Colleges and universities are expanding enrollment in graduate programs to prepare advanced practice nurses, but the shortage of faculty, clinical sites, qualified preceptors, and other finite or dwindling resources continue to limit the expansion of graduate education for nurses, and thousands of qualified students are denied entry to programs each year (American Association of Colleges of Nursing [AACN], 2017).
Moreover, the Affordable Care Act (2019) has adjusted reimbursement rates and policies, resulting in major shifts in healthcare institutions. The attention to reducing readmissions, limiting or eliminating payment for hospital-acquired illness and injury, increasing patient satisfaction, and rewarding institutions that improve patient outcomes are important and necessary inducements to promote quality of patient care. Since Linda Aiken’s groundbreaking work in 2003, there has been a substantial body of evidence indicating that baccalaureate preparation for nurses improves patient outcomes (Blegen et al., 2013; Kutney-Lee et al., 2013; McHugh et al., 2013) and is likely to reduce costs through a reduction in length of stay (Yakusheva et al., 2014) and readmissions (McHugh & Ma, 2013). As a result of improved care, trends in data suggest that there will be fewer patients in hospitals, producing a decreased demand for nurses working in those settings and an increase in demand in outpatient, ambulatory, clinic, community, occupational, and long-term settings (Wadhwani & LeBuhn, 2014). Educational programs are in the midst of adjusting curricula to prepare nurses at the undergraduate and graduate level to manage care, ensure good patient outcomes, and lead healthcare quality improvements in these environments.
The healthcare environment is rapidly evolving, and nurses will need to consider how to prepare for shifts in employment demand. The Joint Statement from the AACN (2015) sets forward principles that community colleges, educational accrediting bodies, and universities may use to promote the further education of a diverse and well-prepared nursing workforce to meet the demands of the 21st century. The call for 80% of all registered nurses to be prepared at the baccalaureate level by 2020 (IOM, 2010), combined with the strong push for Magnet certification (American Nurses Credentialing Center [ANCC], 2015) among many top-tier hospitals, has been a strong motivating force behind the increase in the number of nurses returning to complete their bachelor of science in nursing degree. It remains to be seen if those nurses will go on to complete graduate degrees, including the doctorate, to meet the healthcare needs of the future.
What does any of this have to do with the acquisition and application of statistics, quantitative reasoning skills, and evidence-based practice? What we know is that nurses across all settings, and with all manner of experience and educational preparation, are being asked to step up and do their part to ensure:
The quality bar for nursing practice is being raised. One way that nurses can be certain that their leadership to improve healthcare practice and patient outcomes is effective is to learn the fundamental concepts of statistical reasoning and apply those skills to evidence-based practice. As a nurse, you are accountable every day to your patients, your employer, and your profession to make certain that the quality of care you deliver is the best available. Your professional experience and previous training, although important, are not enough to safeguard the public’s confidence in the quality of nursing care. Over time, new knowledge and information become available, and your ability to engage in evidence-based practice, quality improvement, and process improvement are based on scientific review and hold the key to providing high-quality nursing care.
Statistics is an important tool of evidence-based practice, and we commend you for deciding to improve your skills by taking a statistics course or reading this text. As a nurse with advanced education in statistics and evidence-based practice, you will be better qualified to make important contributions to health care, nursing practice, and the well-being of patients across a variety of settings.
By now, you are undoubtedly aware that the quality of health care in the United States is dependent upon the quality of nursing care (IOM, 2010). Logically, the better prepared nurse is more likely to promote safety and quality of patient care through evidence-based practice. Recognizing the important role that advanced practice nurses have in the healthcare system, the AACN (2006) has recommended that the doctor of nursing practice (DNP) degree be the educational entry level for advanced practice nurses, and there is a consensus that the DNP is well suited for those nurses in leadership roles as well. To meet this expectation, we contend that nurses pursuing graduate education need a strong understanding of statistics to implement evidence-based practice and all its permutations. This text is designed to help nurses develop the skills necessary to carry out evidence-based practice.
Evidence-based practice is clinical decision making using the best evidence available in the context of individual patient preferences by well-informed expert clinicians (Melnyk & Fineout-Overholt, 2005). There are many kinds of evidence that nurses can integrate into their practice (see Figure 1-1). We strive to use the best-quality evidence available. Types of evidence range from our professional experience and expert opinion to substantiated theoretical propositions and findings from research. The volume and quality of evidence available depends on the nature of the clinical problem. Levels of evidence are one useful way to think about what kinds of evidence are available, how these are connected to statistical tests, and what kinds of clinical questions each type of evidence can answer.
Elements of evidence-based practice.A flow diagram shows clinical decision making, by using the best evidence available.
Modified from Melnyk, B. M., & Fineout-Overholt, E. (2005). Evidence-based practice in nursing and healthcare. Philadelphia, PA: Lippincott Williams & Wilkins.
CASE STUDYEvidence-Based Practice Do you know of a family member, friend, or coworker who has problems sleeping? If any of these individuals seek health care from a nurse practitioner or physician, what should he or she expect? Most patients expect that interventions for their healthcare problems are based on current scientific evidence. Dr. Valerio shares the following story: Nurses have always been concerned about preventing health problems and treating health problems with self-care measures in addition to nursing care. At the beginning of my nursing career, in the late 1970s, sleep problems such as chronic insomnia were treated only with drugs. We thought that sleep problems were caused by anxiety and may affect good health; however, we did not have evidence about how to prevent chronic insomnia or treat this sleep disorder without the use of drug therapy that can cause concerning side effects. At that time, and for over a decade later, there was little research that showed the efficacy of behavioral therapy for insomnia. With the shift in healthcare focus to prevention, chronic disorders, and outpatient care, a greater emphasis was placed on understanding and treating sleep problems. Through the amassing of scientific evidence, we learned that chronic insomnia is the result of conditioning, and that behavioral treatments can produce long-term improvement in sleep without concerning side effects. This therapeutic approach is particularly important to APNs who strive to teach patients self-care skills and reduce unnecessary use of pharmacologic therapy. Now that we know the best practices to treat chronic insomnia, we are challenged to implement these interventions into everyday clinical practice. Our patients expect the best care available from nurses. We should partner with our patients to use scientific findings, their individual needs, and our clinical judgment to support improvement in their health. This is the essence of evidence-based practice. |
Let’s examine the levels of evidence table (see Table 1-1). Keep in mind that the evidence table is similar to a healthy diet—that is, you need a bit of everything to have a good understanding of any given clinical situation or problem. Let us consider the problem of pressure ulcers. We could ask a question such as, “What is the patient experience of pain associated with a pressure ulcer?” Such a question would be best answered with evidence from descriptive studies in which researchers asked patients with a pressure ulcer about associated pain. In contrast, if we wanted to know whether a wet-to-dry dressing or a hydrophilic dressing was best for healing a pressure ulcer, evidence from randomized controlled trials (RCTs) comparing these two approaches would be the most useful. The nurse needs to skillfully interpret reports of investigations, including the statistical results, in order to determine the quality of the evidence and the applicability to any given clinical situation. Each type of research approach, ranging from exploratory to experimental, has its own statistical analysis that corresponds to the kind of research question that is being asked and the type of data that have been collected. There are many valid forms of evidence, such as expert opinion and findings from qualitative studies; however, because this text is focused on statistics and evidence-based practice, we will limit our discussion to approaches that use statistical methods for analyzing data.
Type of Research Evidence | Uses | Strength of the Evidence |
---|---|---|
Descriptive or exploratory research (single studies that report frequencies, averages, and variation) | Helps to answer questions about the nature of a problem (population or phenomenon being studied), such as “How many people are affected?” or “What is the subjective patient experience?” | Best evidence for describing problems or concerns in health care |
Correlational research (single studies that report correlation coefficients such as Pearson’s r) | Provides information about the relationship between factors, such as, “Is body weight related to the formation of pressure ulcers?” | Useful evidence for beginning to understand complex health problems |
Comparative research (single studies that report on differences between groups using t-tests or analysis of variance [ANOVA]) | Helps to answer questions about how two or more groups are different on some measure(s), for example, “Does blood pressure vary between men and women?” | Evidence from these studies may be combined with correlational research to better describe the factors influencing health |
Case-controlled and cohort studies (single “natural experiments” that help us predict outcomes) | Provides information on what factors might influence or predict health outcomes, such as “Does smoking predict lung cancer?” | Strong preliminary evidence for examining cause and effect |
Experimental trials or randomized controlled trials (single studies that test cause and effect) | Studies examine the effect of an intervention on patient outcomes. For example, “Does turning a patient every two hours prevent pressure ulcers?” | Very good evidence for examining cause and effect, especially the effect of interventions on patient outcomes |
Meta-analyses (analyses of existing randomized controlled trials to determine the effectiveness of interventions) | These studies combine many previous experiments on one or more interventions and their effects on a patient outcome to answer a question such as, “What do all of the studies on patient turning tell us about the effect on pressure ulcers?” | Strongest evidence for cause and effect and the effectiveness of an intervention |
Statistics are a useful tool for expressing data or characteristics in a scientific way. Let’s use the example of pressure ulcers to better understand the power of statistics. Let us assume that both wet-to-dry dressings and hydrophilic dressings were effective for healing a pressure ulcer, with only a subtle difference in the healing rate. Such small differences may be difficult to observe in a single patient. We need to use the power of statistical analysis in combination with the right kind of study to determine if this subtle difference is an actual difference and not just luck or chance. The power of statistics to help us decide the effectiveness of a treatment is one aspect of how statistics are important in implementing evidence-based practice.
A statistician is a person who specializes in the development and/or application of statistical approaches for understanding data. Most nurses in advanced practice or leadership roles are experts in their chosen field, but are not statisticians. However, nurses in advanced practice are still expected to be competent in the use of statistics for conducting evidence-based practice projects. The AACN (2006) has specified that nurses at the DNP level should be able to do the following:
Each of the previously listed criteria requires quantitative and statistical reasoning skills. The AACN expectations for the DNP are well aligned with the rising expectations for graduate nurses in all settings as set forward by the Future of Nursing report from the IOM (2010).
In our experience, nurses entering graduate programs are often unsure of their quantitative reasoning skills and have not practiced using statistics since their undergraduate or basic nursing program. As a nurse embarking on a more in-depth study of statistics and evidence-based practice, you may feel anxious about the current state of your skills. You may even question whether you really need additional training in statistics. Our objective in this text is to make statistics accessible and help you understand the importance of statistics to your practice. We hope that you are motivated to persevere in statistics to promote the quality and safety of patient care.
Caroline’s StoryI remember my first statistics course. I was so worried about my ability to learn the material that I set my goal at earning a “C” in the course. I kept telling myself “If I can just pass this class, then I won’t have to worry about statistics again.” Much to my surprise, I earned an “A” and found out that I was not stupid when it came to math or logical thinking—I just had not practiced enough. Most of us can remember a time when we were just learning a new skill, perhaps physical assessment or aseptic technique. Initially, we might have been quite clumsy or not understood completely the nuances of the skill. Statistics is just like that; a new skill that with practice becomes familiar and promotes in-depth understanding. |
My first statistics course was during my graduate studies in healthcare administration. I had been a registered nurse in the nurse manager role for a few years, and I was aware of my need to better understand statistics to influence executive leadership about changes needed to improve patient care. I was very concerned that as a nurse, I had limited experience with statistics. Imagine my relief when I found that with practice, I could understand and use statistics to advance nursing care. Years later, when I studied as a family nurse practitioner and a DNP, the usefulness of statistics was reinforced by the focus on evidence-based practices. With each experience of reading, interpreting, applying, and communicating the results of statistical measures, understanding grows. |
I began my journey in statistics with a master’s program. Being a business major previously, switching to statistics was not an easy transition. Over the years of statistical consulting, I have seen students who did not know where to go for help with statistical analysis for their data, and some who tried to be self-learners but struggled with where to begin. They need a better and new way to resolve their problems. Through the use of evidence and my personal experience helping others, I hope that everyone will see the role of statistics in evidence-based nursing practice, understand statistics better, and become a competent clinician delivering the best quality of care. |
In this chapter, we have discussed some of the reasons that nurses need to develop skills for evidence-based practice, especially a strong understanding and use of statistics. The Affordable Care Act and shifts in workforce are resulting in a re-visioning of graduate nursing education to include an improved skill set in evidence-based practice. We learned that there are levels of research evidence that correspond to different types of research questions, and that the strength of the evidence also varies accordingly. Nurses must be able to judge the quality of research evidence for use in practice, and understanding statistics helps them to do that. We also learned that the advanced nurse is more than just a consumer of research and statistics; rather, he or she must also be competent in the use of statistics for evidence-based practice projects.
2003). Educational levels of hospital nurses and surgical patient mortality. Journal of the American Medical Association, , 1617μ1623.
(American Association of Colleges of Nursing
. (2006). The essentials of doctoral education for advanced nursing practice. Retrieved from https://www.aacnnursing.org/DNP/DNP-EssentialsAmerican Association of Colleges of Nursing
. (2015). Joint statement on academic progression for nursing students and graduates. Retrieved from www.aacnnursing.org/News-Information/Position-Statements-White-Papers/Academic-ProgressionAmerican Association of Colleges of Nursing
. (2017). Fact sheet: Nursing shortage. Retrieved from https://www.aacnnursing.org/Portals/42/News/Factsheets/Nursing-Shortage-Factsheet-2017.pdfAmerican Nurses Credentialing Center
. (2015). Magnet program overview. Retrieved from www.nursecredentialing.org/Magnet/ProgramOverview2013). Baccalaureate education in nursing and patient outcomes. Journal of Nursing Administration, (2), 89μ94.
(Institute of Medicine
. (1999). To err is human: Building a safer health system. Retrieved from http://www.supersalud.gob.cl/observatorio/671/articles-14460_recurso_1.pdf?Institute of Medicine
. (2010). The future of nursing: Leading change, advancing health. Retrieved from http://www.nationalacademies.org/hmd/Reports/2010/The-Future-of-Nursing-Leading-Change-Advancing-Health.aspx (2013). An increase in the number of nurses with baccalaureate degrees is linked to lower rates of postsurgery. Mortality Health Affairs, (3), 579μ586.2013). Lower mortality in Magnet hospitals. The Journal of Nursing Administration, (Suppl. 10), S4μS10. doi:10.1097/01.NNA.0000435145.39337.d5
(2013). Hospital nursing and 30-day readmissions among Medicare patients with heart failure, acute myocardial infarction, and pneumonia. The Journal of Nursing Administration, (10 Suppl), S11-S18.
(2005). Evidence-based practice in nursing and healthcare. Philadelphia, PA: Lippincott Williams & Wilkins.
(Patient Protection and Affordable Care Act of 2010
. (2019). Retrieved from www.hhs.gov/sites/default/files/patient-protection.pdfU.S. Department of Health and Human Services, Health Resources and Services Administration, National Center for Health Workforce Analysis
. (2013). Projecting the supply and demand for primary care practitioners through 2020. Rockville, MD: U.S. Department of Health and Human Services.2014). Fitch: Utilization metrics review. A new business model for the healthcare industry. New York, NY: Fitch Ratings. Retrieved from www.fitchratings.com
(2014). Economic evaluation of the 80% baccalaureate nurse workforce recommendation: A patient-level analysis. Medical Care, (10), 864μ869.
(