Research questions, hypotheses, and clinical questions

CHAPTER 2


Research questions, hypotheses, and clinical questions


Judith Haber




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Go to Evolve at http://evolve.elsevier.com/LoBiondo/ for review questions, critiquing exercises, and additional research articles for practice in reviewing and critiquing.


At the beginning of this chapter you will learn about research questions and hypotheses from the perspective of the researcher, which, in the second part of this chapter, will help you to generate your own clinical questions that you will use to guide the development of evidence-based practice projects. From a clinician’s perspective, you must understand the research question and hypothesis as it aligns with the rest of a study. As a practicing nurse, the clinical questions you will develop (see Chapters 19, 20, and 21) represent the first step of the evidence-based practice process for quality improvement programs such as those that decrease risk for development of decubitus ulcers.


When nurses ask questions such as, “Why are things done this way?” “I wonder what would happen if ….?” “What characteristics are associated with ….?” or “What is the effect of ____ on patient outcomes?”, they are often well on their way to developing a research question or hypothesis. Research questions are usually generated by situations that emerge from practice, leading nurses to wonder about the effectiveness of one intervention versus another for a specific patient population.


For an investigator conducting a study, the research question or hypothesis is a key preliminary step in the research process. The research question (sometimes called the problem statement) presents the idea that is to be examined in the study and is the foundation of the research study. The hypothesis attempts to answer the research question.


Hypotheses can be considered intelligent hunches, guesses, or predictions that help researchers seek a solution or answer a research question. Hypotheses are a vehicle for testing the validity of the theoretical framework assumptions, and provide a bridge between theory (a set of interrelated concepts, definitions, and propositions) and the real world (see Chapter 4).


For a clinician making an evidence-informed decision about a patient care issue, a clinical question, such as whether chlorhexidine or povidone-iodine is more effective in preventing central line catheter infections, would guide the nurse in searching and retrieving the best available evidence. This evidence, combined with clinical expertise and patient preferences, would provide an answer on which to base the most effective decision about patient care for this population.


You will often find research questions or hypotheses at the beginning of a research article. However, because of space constraints or stylistic considerations in such publications, they may be embedded in the purpose, aims, goals, or even the results section of the research report. Nevertheless, it is equally important for both the consumer and the producer of research to understand the significance of research questions and hypotheses as the foundational elements of a study. This chapter provides a working knowledge of quantitative research questions and hypotheses, as well as the standards for writing and evaluating them based on a set of criteria. It also highlights the importance of clinical questions and how to develop them.




Developing and refining a research question: Study perspective


A researcher spends a great deal of time refining a research idea into a testable research question. Research questions or topics are not pulled from thin air. As shown in Table 2-1, research questions should indicate that practical experience, critical appraisal of the scientific literature, or interest in an untested theory was the basis for the generation of a research idea. The research question should reflect a refinement of the researcher’s initial thinking. The evaluator of a research study should be able to discern that the researcher has done the following:



TABLE 2-1   


HOW PRACTICAL EXPERIENCE, SCIENTIFIC LITERATURE, AND UNTESTED THEORY INFLUENCE THE DEVELOPMENT OF A RESEARCH IDEA
























AREA INFLUENCE EXAMPLE
Practical Experience Clinical practice provides a wealth of experience from which research problems can be derived. The nurse may observe a particular event or pattern and become curious about why it occurs, as well as its relationship to other factors in the patient’s environment. Health professionals, including nurses and nurse midwives, frequently debate the benefit of psychological follow-up in preventing or reducing anxiety and depression following miscarriage. While such symptoms may be part of their grief following the loss, psychological follow-up might detect those women at risk for complications such as suicide. Evidence about physical management of women following miscarriage is well established, evidence on the psychological management is less well developed and represents a gap in the literature. Findings from a systematic review, “Follow-up for Improving Psychological Well-being for Women after a Miscarriage,” that included six studies including >1000 women indicate there is insufficient evidence from randomized controlled trials to recommend any method of psychological follow-up (Murphy et al., 2012).
Critical Appraisal of the Scientific Literature Critical appraisal of studies in journals may indirectly suggest a clinical problem by stimulating the reader’s thinking. The nurse may observe the outcome data from a single study or a group of related studies that provide the basis for developing a pilot study, quality improvement project, or clinical practice guideline to determine the effectiveness of this intervention in their setting. At a staff meeting, members of an interprofessional team at a hospital specializing in cancer treatment wanted to identify the most effective approaches for treating adult cancer pain by decreasing attitudinal barriers of patients to cancer pain management. Their search for, and critical appraisal of, existing research studies led the team to develop an interprofessional cancer pain guideline that was relevant to their patient population and clinical setting (MD Anderson Cancer Center, 2012).
Gaps in the Literature A research idea may also be suggested by a critical appraisal of the literature that identifies gaps in the literature and suggests areas for future study. Research ideas also can be generated by research reports that suggest the value of replicating a particular study to extend or refine the existing scientific knowledge base. Although advances in pain management can reduce cancer pain for a significant number of patients, attitudinal barriers held by patients can be a significant factor in the inadequate treatment of cancer pain. Those barriers need to be addressed if cancer pain management is to be improved. The majority of studies investigating the effectiveness of psychoeducational interventions were either not applicable in outpatient settings, or were labor intensive and not very feasible. However, use of motivational interviewing as a coaching intervention in decreasing patient attitudinal barriers to pain management had not been investigated, especially in an outpatient setting. The study focused on testing the effectiveness of an educational and a motivational interviewing coaching intervention in comparison to usual care in decreasing attitudinal barriers to cancer pain management, decreasing pain intensity, improving functional status, and improving quality of life (Thomas et al., 2012).
Interest in Untested Theory Verification of a theory and its concepts provides a relatively uncharted area from which research problems can be derived. Inasmuch as theories themselves are not tested, a researcher may consider investigating a concept or set of concepts related to a nursing theory or a theory from another discipline. The researcher would pose questions like, “If this theory is correct, what kind of behavior would I expect to observe in particular patients and under which conditions?” “If this theory is valid, what kind of supporting evidence will I find?” The Roy Adaptation Model (RAM) (2009) was used by Fawcett and colleagues (2012) in a study examining womens’ perceptions of Caesarean birth to test multiple relationships within the RAM as applied to the study population.



Defining the research question


Brainstorming with faculty or colleagues may provide valuable feedback that helps the researcher focus on a specific research question area. For example, suppose a researcher told a colleague that her area of interest was health disparities and how neonatal outcomes vary in ethnic minority, urban, and low-income populations. The colleague may have asked, “What is it about the topic that specifically interests you?” This conversation may have initiated a chain of thought that resulted in a decision to explore the relationship between maternal-fetal attachment and health practices on neonatal outcomes in low-income, urban women (Alhusen et al., 2012) (see Appendix B). Figure 2-1 illustrates how a broad area of interest (health disparities and neonatal outcomes) was narrowed to a specific research topic (maternal-fetal attachment and health practices on neonatal outcomes in low-income, urban women).






Beginning the literature review


The literature review should reveal a relevant collection of studies and systematic reviews that have been critically examined. Concluding sections in such articles (i.e., the recommendations and implications for practice) often identify remaining gaps in the literature, the need for replication, or the need for extension of the knowledge base about a particular research focus (see Chapter 3). In the previous example about the influence of maternal-fetal attachment and health practices on neonatal outcomes in low-income, urban women, the researcher may have conducted a preliminary review of books and journals for theories and research studies on factors apparently critical to adverse pregnancy outcomes, such as pre-term birth and low birth weight and racial and/or ethnic differences in neonatal outcomes. These factors, called variables, should be potentially relevant, of interest, and measurable.




Possible relevant factors mentioned in the literature begin with an exploration of the relationship between maternal health practices during pregnancy, and neonatal outcomes. Another factor, maternal-fetal attachment, has been found to correlate with these high quality health practices. Other variables, called demographic variables, such as race, ethnicity, gender, age, income, education, and marital status, are also suggested as essential to consider. For example, are rates of pre-term birth and growth-restricted neonates higher in low-income women than in other women? This information can then be used to further define the research question and address a gap in the literature, as well as to extend the knowledge base related to relationships among maternal health practices, maternal-fetal attachment, race (black or white), and socio-economic status. At this point the researcher could write the tentative research question: “What are the relationships among maternal health practices, maternal-fetal attachment, and adverse neonatal outcomes?” Readers can envision the interrelatedness of the initial definition of the question area, the literature review, and the refined research question. Readers of research reports examine the end product of this process in the form of a research question and/or hypothesis, so it is important to have an appreciation of how the researcher gets to that point in constructing a study (Alhusen et al., 2012) (see Appendix B).





Examining significance


When considering a research question, it is crucial that the researcher examine the question’s potential significance for nursing. The research question should have the potential to contribute to and extend the scientific body of nursing knowledge. Guidelines for selecting research questions should meet the following criteria:



If the research question has not met any of these criteria, it is wise to extensively revise the question or discard it. For example, in the previously cited research question, the significance of the question includes the following facts:



• Disparities in neonatal outcomes between African Americans and non-Latino white Americans are one of the most concerning chronic health disparities in the United States.


• Poor and African-American women have twice the rates of pre-term births.


• Low birth weight is a major determinant of infant mortality.


• Health practices that a mother engages in during pregnancy are known to influence neonatal outcomes.


• Maternal-fetal attachment (MFA) is another factor influencing health practices during pregnancy. Higher levels of MFA correlate with high quality health practices.


• No longitudinal studies were found that examined these factors in relation to neonatal outcomes.


• This study also sought to fill a gap in the related literature by extending research to focus on low income and ethnic minority women.






The fully developed research question


When a researcher finalizes a research question, the following characteristics should be evident:



Because each element is crucial to the formulation of a satisfactory research question, the criteria will be discussed in greater detail. These elements can often be found in the introduction of the published article; they are not always stated in an explicit manner.



Variables


Researchers call the properties that they study variables. Such properties take on different values. Thus a variable, as the name suggests, is something that varies. Properties that differ from each other, such as age, weight, height, religion, and ethnicity, are examples of variables. Researchers attempt to understand how and why differences in one variable relate to differences in another variable. For example, a researcher may be concerned about the variable of pneumonia in postoperative patients on ventilators in critical care units. It is a variable because not all critically ill postoperative patients on ventilators have pneumonia. A researcher may also be interested in what other factors can be linked to ventilator-acquired pneumonia (VAP). There is clinical evidence to suggest that elevation of the head of the bed is associated with decreasing risk for VAP. You can see that these factors are also variables that need to be considered in relation to the development of VAP in postoperative patients.


When speaking of variables, the researcher is essentially asking, “Is X related to Y? What is the effect of X on Y? How are X1 and X2 related to Y?” The researcher is asking a question about the relationship between one or more independent variables and a dependent variable. (Note: In cases in which multiple independent or dependent variables are present, subscripts are used to indicate the number of variables under consideration.)


An independent variable, usually symbolized by X, is the variable that has the presumed effect on the dependent variable. In experimental research studies, the researcher manipulates the independent variable (see Chapter 9). In nonexperimental research, the independent variable is not manipulated and is assumed to have occurred naturally before or during the study (see Chapter 10).


The dependent variable, represented by Y varies with a change in the independent variable. The dependent variable is not manipulated. It is observed and assumed to vary with changes in the independent variable. Predictions are made from the independent variable to the dependent variable. It is the dependent variable that the researcher is interested in understanding, explaining, or predicting. For example, it might be assumed that the perception of pain intensity (the dependent variable) will vary in relation to a person’s gender (the independent variable). In this case we are trying to explain the perception of pain intensity in relation to gender (i.e., male or female). Although variability in the dependent variable is assumed to depend on changes in the independent variable, this does not imply that there is a causal relationship between X and Y, or that changes in variable X cause variable Y to change.


Table 2-2 presents a number of examples of research questions. Practice substituting other variables for the examples in Table 2-2. You will be surprised at the skill you develop in writing and critiquing research questions with greater ease.



Although one independent variable and one dependent variable are used in the examples, there is no restriction on the number of variables that can be included in a research question. Research questions that include more than one independent or dependent variable may be broken down into subquestions that are more concise.


Finally, it should be noted that variables are not inherently independent or dependent. A variable that is classified as independent in one study may be considered dependent in another study. For example, a nurse may review an article about sexual behaviors that are predictive of risk for human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS). In this case, HIV/AIDS is the dependent variable. When another article about the relationship between HIV/AIDS and maternal parenting practices is considered, HIV/AIDS status is the independent variable. Whether a variable is independent or dependent is a function of the role it plays in a particular study.



Population


The population (a well-defined set that has certain properties) is either specified or implied in the research question. If the scope of the question has been narrowed to a specific focus and the variables have been clearly identified, the nature of the population will be evident to the reader of a research report. For example, a research question may ask, “Does an association exist among health literacy, memory performance, and performance-based functional ability in community-residing older adults?” This question suggests that the population under consideration includes community-residing older adults. It is also implied that the community-residing older adults were screened for cognitive impairment and presence of dementia, were divided into groups (impaired or normal), and participated in a memory training intervention or a health training intervention to determine its effect on affective and cognitive outcomes (McDougall et al., 2012). The researcher or reader will have an initial idea of the composition of the study population from the outset (see Chapter 12).


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Feb 15, 2017 | Posted by in NURSING | Comments Off on Research questions, hypotheses, and clinical questions

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