CHAPTER 6 Research for health professionals
Introduction
This chapter examines how psychological and health research findings influence healthcare practice and provides an overview of research paradigms, methodologies and methods. It is not within the scope of this chapter to provide a detailed account of how to conduct research as this is covered in more detail and depth elsewhere in your course and in specific research textbooks. Rather, this chapter focuses on how research findings influence healthcare practice and how health professionals can use research in their day-to-day clinical practice and, thereby, be a competent consumer of research (Schneider et al 2007). Being a competent consumer of research involves knowing how to access, critique and utilise research findings in everyday clinical practice. Finally, the role of the professional in the ethical conduct of research is addressed.
Healthcare research: an overview
Interpretive and critical approaches are located within the qualitative research paradigm and aim to describe, explore and seek understanding of human and social phenomena. Interpretative research is focused on understanding or creating meaning while critical research has the additional goal of bringing about social and political change.
Research paradigms
Quantitative research
Quantitative research is steeped in the conventional scientific tradition. It involves collecting data that are quantifiable and measurable and, therefore, can be analysed and interpreted numerically. It takes a positivist philosophical position and is underpinned by the view that reality is objective, measurable and separate from the researcher. In this way quantitative research follows a scientific tradition of objective observation, prediction and testing of causal or correlational relationships (Krauss 2005, Maggs-Rapport 2001).
FOCUS ON QUANTITATIVE RESEARCH: RANDOMISED CONTROL TRIALS
RCTs provide the highest level of evidence because the random allocation of participants to study groups minimises the influences of selection bias, of known and unknown confounders and of prognostic factors such as participant characteristics on the study results. The effects of other biases can also be reduced by blinding the participants and the research team to group status and by ensuring that both groups have equal contact with the study team.
The inclusion criteria are an important issue in RCTs. In trials to measure the effectiveness of a treatment or intervention, participants who have an identified health problem are enrolled. However, in interventions designed to prevent an illness or condition from developing, participants who are ‘at risk’ are enrolled before the illness or condition has developed. Although RCTs provide the most scientifically rigorous research method available, they are often difficult to conduct and low response rates may reduce the generalisability of the results. Table 6.1 summarises the strengths and weaknesses of RCTs.
STRENGTHS | WEAKNESSES |
---|---|
Provide a high level of evidence | Selection bias may be an issue if potential participants have treatment preferences |
Confounders, prognostic factors and exposures are balanced between groups | Follow-up bias may be influential if control group participants selectively drop out because they are receiving a placebo or existing treatment |
Allocation, reporting and observer bias can be controlled by blinding | Low participation rates may reduce the generalisability of the results |
Willingness to participate does not influence group allocation | Long-term outcomes may not be measured |
Research focus: RCT
Barlow J, Powell L, Gilchrist M et al 2008 The effectiveness of the Training and Support Program for parents of children with disabilities: A randomized controlled trial. Journal of Psychosomatic Research Vol 64, pp 55–62
Abstract
RESULTS
The majority of participants were mothers (88%) with a partner (88%) and white European (82%); 40% worked full time or part time and 34% had health problems (e.g. chronic fatigue, cancer and arthritis). The TSP demonstrated statistically significant positive effects on parental self-efficacy for managing children’s psychosocial wellbeing and depressed mood (0.004 and 0.007). There were trends towards improvement on parental satisfaction with life (p = 0.053), global health (p = 0.065) and parental ratings of children’s sleeping (p = 0.074) and mobility (p = 0.012). Effect sizes were small (0.11–0.23). Levels of anxiety, depression and perceived stress were all higher than published norms.
Qualitative research
Examples of qualitative methodologies include:
FOCUS ON QUALITATIVE RESEARCH: PHENOMENOLOGY
Phenomenology began as a philosophical mode of enquiry in continental Europe around the turn of the 20th century. Its acknowledged founder is the German philosopher Edmund Husserl (1859–1938). Throughout the latter part of the 20th century and early 21st century phenomenology was adapted as an approach in health research enquiry, particularly by nurse researchers (Dowling 2007, Paley 2005). The goal of phenomenological health research is to understand a human or social issue by examining the human experience of the phenomenon under investigation, whereas the goal of philosophical phenomenology is to examine the phenomenon itself (Barkway 2001, Crotty 1996).
Controversy surrounds the use of phenomenology as a method in health research. Crotty (1996) refers to the study of the lived experience as ‘new’ phenomenology, which he argued differs from philosophical phenomenology because it attempts to draw objective conclusions from subjective data. Paley (2005), too, is critical of phenomenological health research stating that in attempting to make sense of subjective data nurse researchers draw objective conclusions and in doing so ‘mimic science’ in assuming that an objective reality exists. Nevertheless, despite the methodological debate surrounding phenomenological health research, phenomenological studies contribute to the body of knowledge about individuals’ experiences of health and illness issues and thereby can influence healthcare practices.
Research focus: phenomenology
Karlsson A, Arman M, Wikblad K 2008 Teenagers with type 1 diabetes – a phenomenological study of the transition towards autonomy in self-management. International Journal of Nursing Studies Vol 45, pp 562–570
Quantitative or qualitative?
In the planning phase of an investigation a decision is made early in the research process concerning which methods or methodology to use, namely, quantitative, qualitative or whether to use multiple methods or methodologies – triangulation. Choosing a method is best addressed by considering the question to be investigated and the methodology that best informs the research question. For example, if a researcher wants to investigate the incidence of asthma in the community, then epidemiological (quantitative) data will provide that information. However, if the researcher wants to know what is the experience of a person living with asthma? then a semi-structured interview or focus group is an appropriate (qualitative) method for data collection. Table 6.2 summarises the similarities and differences between quantitative and qualitative research.
TYPES OF RESEARCH | ||
---|---|---|
Quantitative | Qualitative | |
Methodology | ||
Purpose | ||
Methods | ||
Sample size | Usually large | Usually small |
Research evaluation | ||
Ethics |
Triangulation
Triangulation, or the use of multiple methods and/or methodologies, is a process whereby various forms of data are collected from different sources. Triangulation may be applied to one or more of the following: methodology, method, data and/or investigator. It can utilise both quantitative and qualitative paradigms and methods for data collection, for example, by obtaining data from key informant interviews (qualitative) and questionnaires (quantitative). It can also include collecting data using different methods within the same research paradigm, for example, focus group and participant observation, which are both qualitative.
The purpose of triangulation is to validate the findings by collecting data on the same phenomenon from different sources (Roberts & Taylor 2002). Collecting data from various sources enables researchers to corroborate their findings. And if both quantitative and qualitative methods are used, a broad as well as a deep understanding of the issue is obtained. For example, in determining the needs of parents who have a child with a disability, a researcher could interview key informants (qualitative research) and use this data to design a questionnaire to canvass the opinions of a wider selection of the target population (quantitative research).