An Interpretative Phenomenological Analysis of the lived experience of multiple concurrent symptoms in patients with lung cancer: A contribution to the study of symptom clusters
Introduction
The symptom experience of people with cancer has been the focus of a significant body of research both theoretically and empirically for the past four decades. Using the biomedical perspective, a symptom is viewed as being representative of a pathological pathway for diagnosis and cure. In contrast, within medical anthropology symptoms are viewed not as being a ‘reflection of the disease’, but as representing the meaning that the illness holds for the individual. Whilst the symptom experience has attracted much debate in the literature (Corner and Bailey, 2001, Krishnasamy, 2000, Tishelman et al., 1991), irrespective of the approach employed, all recognise the central role that symptoms play in the identification and management of disease and the negative impact that poorly controlled symptoms have on patient outcomes (Cleeland, 2007, Lipscomb et al., 2007, Mansson et al., 2007, Trotti et al., 2007).
Historically, research in the area of cancer symptom management has focused on the incidence and severity of individual symptoms such as pain, fatigue and depression (Ferrell and Dean, 1995, Ream and Richardson, 1997, Richardson and Ream, 1996). However, this focus has been criticised in that it does not address the experience of multiple concurrent symptoms and the fact that people with cancer rarely experience symptoms in isolation (Dodd et al., 2001a, Dodd et al., 2001b). In response to the criticisms relative to the study of individual symptoms, the concept of symptom clusters was introduced into the literature (Dodd et al., 2001a, Dodd et al., 2001b). This concept suggests that co-occurring symptoms do not exist independently but interact with each other via common underlying mechanisms, that have a synergistic effect on patient outcomes (Atkas et al., 2010, Barsevick, 2007). It has been suggested that the study of symptom clusters can advance cancer symptom management and open up new avenues for the management of multiple symptoms.
To date, the majority of studies on symptom clusters have adopted a predominately quantitative approach, identifying symptom clusters using an array of questionnaires and statistical approaches. Whilst the results of these studies have advanced knowledge in the field of symptom cluster research, the predominance of this quantitative approach has been criticised on the grounds of the inconsistency in methodological approaches used therein a lack of standardisation. The use of varying definitions, different data collection tools and approaches to data analysis, has resulted in a data set that is hard to interpret (Atkas et al., 2010). It has also been highlighted that current research reflects clusters that have been defined using statistical relationships between symptoms, as opposed to those derived from clinical or patient experience (Atkas et al., 2010, Henoch et al., 2009).
An alternative methodology for the identification of symptom clusters is provided by qualitative studies of the symptom experience. Such studies provide powerful and contextual insights into the patients' perspective of the experience of multiple symptoms, using experiential data to identify associations between concurrent symptoms. To date, few studies have identified symptom clusters using such data. Molassiotis et al. (Molassiotis et al., 2008) explored the experience of chemotherapy related nausea in patients with cancer and, using content analysis, reported that participants' narratives of the symptom often concurred with other symptoms, suggesting that such findings provide preliminary evidence to support a cluster of symptoms consisting of nausea, loss of appetite, taste disturbance, vomiting and ‘possibly’ intolerance of smells. A subsequent study published by the same authors (Molassiotis et al., 2010), identified a respiratory cluster of symptoms (cough, breathlessness, and fatigue) in patients with lung cancer, and reported that this cluster of symptoms persisted throughout the participants' experiences up to a year following diagnosis. The most recent study published (Lopez et al., 2011) was conducted in women with gynaecological cancer using qualitative longitudinal interviews, and identified an array of physical and psychological symptom clusters. These qualitative studies, whilst not identifying causal relationships between symptoms, have been argued to provide a ‘stronger conceptual base’ for the identification of symptom clusters in patients with cancer (Atkas et al., 2010) and as a result there has been a call for more studies to explore the patient experience of this phenomenon (Atkas et al., 2010) to advance the scientific based underpinning this important area of cancer symptom research.
It may be postulated that people with advanced lung cancer are a population that are particularly suited to the exploration of the patient experience of co-occurring symptoms. This group of patients commonly experience multiple concurrent symptoms (Cleeland, 2007; Cooley et al., 2003, Cooley et al., 2002, Cooley, 2000, Sarna and Brecht, 1997, Sarna, 1993) and experience significant distress due to their symptoms (Molassiotis et al., 2010; Cooley et al., 2003, Cooley et al., 2002, Cooley, 2000, Tishelman et al., 2000, Degner and Sloan, 1995). Furthermore, several studies to date have identified symptom clusters using quantitative and qualitative approaches in this patient group (Gift et al., 2003, Henoch et al., 2009, Molassiotis et al., 2010). The aim of this study was therefore to explore the lived experience of multiple concurrent symptoms of people with advanced lung cancer. It was anticipated that the information gleaned from this study would contribute to our understanding of the experience of symptom clusters in patients with lung cancer.
Section snippets
Design, setting and sample
The study adopted a prospective, qualitative, study design using Interpretative Phenomenological Analysis (IPA) methodology (Smith et al., 2009). IPA is an established methodology in clinical, health and social psychology, which provides a stance and protocol for the analysis of experiential qualitative data (Flowers et al., 2006, Smith et al., 2009). Participants were recruited from a District General Hospital in Scotland that specialised in the care of people with lung cancer.
The lead lung
Clinical and demographic characteristics
Demographic and clinical details of the participants are detailed in Table 1. A total of 10 participants took part in this study. This sample size is the upper limit of the number of participants advocated for studies employing IPA (Smith et al., 2009; Reid et al., 2005, Smith and Osborn, 2004). The mean age of the participants recruited to the study was 63 years; most of the participants were female, all had advanced lung cancer and all the participants had received chemotherapy treatment.
A
Discussion
The study reported here sheds new light on the experience of multiple concurrent symptoms in people with advanced lung cancer. Such information has particular relevance to the study of symptom clusters in people with lung cancer, which purports that multiple symptoms have a synergistic effect on one another that ultimately impacts on patient outcomes.
The findings of this study clearly resonate with existing definitions and the findings of empirical studies exploring the experience of symptom
Conclusion
The results of this study have provided an insight into the way that people with advanced lung cancer perceive and interpret their lived experiences of multiple symptoms, contributing to our understanding of symptom clusters in this patient population. Such findings, whilst tentative, highlight the central role that meaning may play in the experience of multiple symptoms and thus provide insight into the future development of meaning-based symptom cluster interventions.
Conflict of interest
None declared.
Acknowledgements
The authors would like to thank the people with lung cancer who gave up their valuable time to participate in this study.
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