The Influence of Multiple Chronic Conditions on Symptom Clusters in People With Solid Tumor Cancers

Predictors of Unrelieved Symptoms in All of Us Research Program Participants With Chronic Conditions

CONTEXT

Over half of American adults are diagnosed with a chronic condition, with an increasing prevalence being diagnosed with multiple chronic conditions. These adults are at higher risk for having unrelieved, co-occurring symptoms, known as symptom clusters.

OBJECTIVES

To identify symptom phenotypes of patients diagnosed with four common chronic conditions, specifically, cancer, chronic obstructive pulmonary disease, heart failure, and/or type 2 diabetes mellitus, and to understand factors that predict membership in symptomatic phenotypes.

METHODS

We conducted a retrospective, cross-sectional analysis using participant responses (N=14,127) to All of Us Research Program, a National Institutes of Health biomedical database, survey questions. We performed hierarchical clustering to generate symptom phenotypes of fatigue, emotional distress, and pain and used multinomial regression to determine if demographic, healthcare access and utilization, and health-related variables predict symptom phenotype.

RESULTS

Four phenotypes, one asymptomatic or mildly symptomatic and three highly symptomatic (characterized by severe symptoms, severe pain, and severe emotional distress), were identified. The percentage of participants belonging to the severe symptoms phenotype increased with the number of chronic conditions. Most notably, foregoing or delaying medical care and rating mental health as poor or fair increased the odds of belonging to a highly symptomatic phenotype.

CONCLUSION

We found meaningful relationships between demographic, healthcare access and utilization, and health-related factors and symptom phenotypes. With the increasing trends of American adults with one or more chronic conditions and a demand to individualize care in the precision health era, it is critical to understand the factors that lead to unrelieved symptoms.

Symptom clusters in outpatients with cancer using different dimensions of the symptom experience

PURPOSE

Relatively few studies have evaluated for symptom clusters across multiple dimensions. It is unknown whether the symptom dimension used to create symptom clusters influences the number and types of clusters that are identified. Study purposes were to describe ratings of occurrence, severity, and distress for 38 symptoms in a heterogeneous sample of oncology patients (n = 1329) undergoing chemotherapy; identify and compare the number and types of symptom clusters based on three dimensions (i.e., occurrence, severity, and distress); and identify common and distinct clusters.

METHODS

A modified version of the Memorial Symptom Assessment Scale was used to assess the occurrence, severity, and distress ratings of 38 symptoms in the week prior to patients' next cycle of chemotherapy. Symptom clusters for each dimension were identified using exploratory factor analysis.

RESULTS

Patients reported an average of 13.9 (±7.2) concurrent symptoms. Lack of energy was both the most common and severe symptom while "I don't look like myself" was the most distressing. Psychological, gastrointestinal, weight gain, respiratory, and hormonal clusters were identified across all three dimensions. Findings suggest that psychological, gastrointestinal, and weight gain clusters are common while respiratory and hormonal clusters are distinct.

CONCLUSIONS

Psychological, gastrointestinal, weight gain, hormonal, and respiratory clusters are stable across occurrence, severity, and distress in oncology patients receiving chemotherapy. Given the stability of these clusters and the consistency of the symptoms across dimensions, the use of a single dimension to identify these clusters may be sufficient. However, comprehensive and disease-specific inventories need to be used to identify distinct clusters.

The role of spirituality in symptom experiences among adults with cancer

PURPOSE

Adults with cancer experience symptoms such as pain, fatigue, depression, and sleep disturbance, which can impede quality of life. Research suggests that addressing spirituality may be one route to support holistic symptom management. The purpose of this study is to explore how spirituality relates to common cancer-related symptoms (including severity, distress, and interference) among a sample of adults with cancer.

METHODS

This is a secondary analysis of data from N = 200 solid tumor cancer patients undergoing chemotherapy. Symptom experiences were assessed with a modified version of the Memorial Symptom Assessment Scale and the M. D. Anderson Symptom Inventory-Interference Subscale. Spirituality was assessed using a subset of items from the Fox Simple Quality of Life Scale. A series of ordinal and linear regressions were used to examine the relationship between spirituality and symptom severity, symptom-related distress, and symptom interference across four cancer-related symptoms (pain, fatigue, depression, and sleep disturbance).

RESULTS

Higher spirituality trended toward an association with lower pain severity, although results were not significant (p < .058). Higher spirituality was significantly associated with lower severity of fatigue (p < .003), depression (p < .006), and sleep disturbance (p < .004). Spirituality was not significantly associated with any of the four symptom-related distress outcomes. Higher spirituality was significantly associated with lower overall symptom interference (p < .004).

DISCUSSION

This study highlights the role of spirituality in the experience of cancer-related symptoms. Additional research is needed among more diverse samples of people with cancer. This foundational work could lead to the development of symptom management interventions that incorporate aspects of spirituality.