Identification of Distinct Symptom Profiles in Cancer Patients Using a Pre-Specified Symptom Cluster

Moderating Effect of Daylight Exposure on the Relationship Between Physical Activity and Sleep in Patients with Upper Digestive Cancer: An Exploratory Study

OBJECTIVES

To examine the moderating effect of daylight exposure on physical activity and objective sleep quality, using wearable actigraph devices.

METHODS

We recruited 324 patients with either gastric or esophageal cancer. Actigraphs were used to measure all objective data including daylight exposure, physical activity, and sleep quality. Pearson's correlation coefficients were used to examine the relationships among demographic data, disease attributes, physical activity, daylight exposure, and sleep. The Hayes PROCESS macro with the regression bootstrapping method was employed to analyze the moderating effect of daylight exposure on the relationship between physical activity and sleep.

RESULTS

Sleep efficiency correlated positively with physical activity, while "wake after sleep onset" correlated negatively with physical activity and mean lux. Mean lux and light >500 lux significantly moderated the association between physical activity and sleep efficiency (P = .002 in both cases). Similarly, mean lux and light >500 lux significantly moderated the association between physical activity and "wake after sleep onset" (P = .002 and .001, respectively).

CONCLUSION

Both average daylight exposure and time of exposure to >500 lux act as moderators of physical activity and objective sleep quality in patients with gastric or esophageal cancer. Healthcare practitioners should encourage patients with cancer to engage in daily outdoor physical activity. Further intervention studies are needed to verify the combined effect of daytime light exposure and physical activity on improving sleep quality.

IMPLICATIONS FOR NURSING PRACTICE

Healthcare practitioners should encourage patients with cancer to engage in daily outdoor physical activity. Further intervention studies are needed to verify the combined effect of daytime light exposure and physical activity on improving sleep quality.

Symptom network and quality of life of breast cancer patients receiving multimodal cancer treatment: Cross-sectional study

PURPOSE

Breast cancer patients experience symptoms and side effects from multimodal treatments, which often include menopausal symptoms resulting from cytotoxic chemotherapy or estrogen suppression therapy. This study aimed to explore the symptom network and clusters and its relationship to quality of life (QoL) in breast cancer patients who receive multimodal cancer treatment and experience treatment-related menopausal symptoms.

METHODS

A correlational study was conducted. Breast cancer patients receiving multimodal cancer treatment and experiencing treatment-related menopausal symptoms were included while they were receiving radiation therapy (N = 250). Symptoms, functions and QoL were assessed using the EORTC QLQ-C30 and BR45. Network analysis, principal component analysis, exploratory factor analysis, and multiple linear regression analysis were conducted.

RESULTS

Fatigue was the most central symptom in the symptom-only network as well as in the network consisting of symptoms and QoL. Fatigue, systemic therapy side effects, appetite loss, and cognitive symptoms demonstrated significant associations with QoL. The cancer and treatment related symptom cluster consisted of fatigue, cognitive symptoms, emotional symptoms and systemic therapy side effects. Breast cancer therapy-specific symptoms, such as arm symptoms, skin mucosis symptoms, and breast symptoms, formed a cluster with pain.

CONCLUSION

Fatigue was the most central symptom in breast cancer patients receiving multimodal cancer treatment and experiencing menopausal symptoms. Evaluation of fatigue and providing interventions to manage fatigue would contribute to improvement of QoL of breast cancer patients receiving multimodal cancer treatments. Future network analysis and symptom cluster studies should specify the population of interest and the treatment phase using comprehensive symptom evaluation tools.

Nonpharmacological Interventions for Managing Symptom Clusters in Adults: A Systematic Review

Objectives: The complex effects of multiple co-occurring symptoms are a major cause of reduced quality of life; thus, it is necessary to identify symptom clusters experienced by patients and explore interventions. This study aimed to provide an overview of non-pharmacological interventions based on symptom clusters in adults to identify effective intervention strategies and methods. Methods. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. For the search databases, PubMed, Embase, Cochrane Library, CINAHL, RISS, KISS, and KISTI were used. It includes English and Korean experimental studies published up to May 2023. The literature quality was evaluated using the Joanna Briggs Institute Quality Assessment Tool. Results. Of the 18 studies selected, 15 were randomized controlled trials and three were quasi-experimental studies, all of which were conducted on patients with cancer. The symptom clusters-based interventions in the literature are classified as movement-based, relaxation-based, integrated, and miscellaneous interventions. Integrated interventions, which were effective in all studies, might prove to be very effective for managing symptom clusters. Movement-based intervention studies, which include dance, Qigong, and Tai Chi, might be very effective in improving health-related quality of life (HRQoL). Conclusions. This review demonstrates that non-pharmacological interventions reduce the occurrence and severity of symptom clusters, thereby improving HRQoL. Further studies are required to evaluate the effects of these interventions in patients with various chronic conditions other than cancer.

Prevalence and biopsychosocial indicators of fatigue in cancer patients

INTRODUCTION

Symptoms of cancer-related fatigue (CRF) can have a significant impact on patients' quality of life and treatment adherence. We aimed to investigate the relationship between CRF and multiple psychosocial and somatic indicators within a large mixed cancer sample.

METHODS

In this cross-sectional study, N = 1787 outpatients with cancer were assessed for CRF, pain, anxiety, and depression using validated screening instruments. We further obtained clinical parameters (Hb, CRP, creatinine, leukocytes, ASAT, and ALAT), sociodemographic data (age, gender, income, education level, marital status, parenthood, and living area), and lifestyle factors. Multivariate linear regression models were applied to estimate the impact of each indicator on CRF.

RESULTS

Overall, 90.6% of patients experienced some CRF, with 14.8% experiencing severe CRF. No gender difference was found in the prevalence of CRF. Patients with higher levels of pain, depressive symptoms, and lower Hb levels had significantly higher levels of CRF (ps <0.001). Lower levels of CRF were observed in patients who had children (p = 0.03), had less education (p < 0.001), and were physically active for more than 2 h per week before their oncological diagnosis (p = 0.014). The latter was only a significant indicator in the male subsample.

CONCLUSION

The present results demonstrate a high prevalence of CRF and highlight that not only somatic and psychosocial factors, but also lifestyle factors prior to diagnosis appear to be associated with the etiology and persistence of CRF. To effectively treat CRF, a biopsychosocial, personalized approach is recommended.

The change of symptom clusters in gastric cancer patients during the perioperative period: a longitudinal study

AIM AND OBJECTIVES

The purpose of this study was to describe the number, type and trajectory of symptom clusters during the perioperative period in patients with gastric cancer at four different time points. The study also aimed to identify the changes and consistency of these symptom clusters over time.

DESIGN

This was a longitudinal study.

METHODS

This study was conducted in a tertiary cancer hospital with 205 patients with gastric cancer. The M.D. Anderson Symptom Inventory Gastrointestinal Cancer Module was used to assess the incidence and severity of symptom clusters. Exploratory factor analysis was used to extract symptom clusters.

RESULTS

The study identified four symptom clusters in patients with gastric cancer during the perioperative period: gastrointestinal symptom cluster, physical symptom cluster, psychological symptom cluster, and sleep disturbance symptom cluster. These clusters were observed across two to four time points.

CONCLUSION

The findings of this study provide scientific evidence for medical staff and researchers to better understand the symptoms of patients with gastrointestinal cancer during the perioperative period. These findings can help develop individualized interventions for managing symptoms.

RELEVANCE TO CLINICAL PRACTICE

Gastric cancer patients suffered from various symptom clusters, which lasted from one day before surgery to one month after surgery. They should be given careful consideration by clinical staff.

Persistent Fatigue in Patients With Hepatocellular Carcinoma Receiving Radiotherapy

BACKGROUND

Radiation therapy has attracted much attention in the treatment of patients with hepatocellular carcinoma (HCC). However, the association between radiotherapy-related fatigue and HCC has been examined in only a few studies.

PURPOSE

This study was designed to explore the change over time in fatigue in patients with HCC treated with radiotherapy and related factors.

METHODS

One hundred patients were enrolled in this prospective longitudinal study using convenience sampling at a medical center in northern Taiwan. The Functional Assessment of Chronic Illness Therapy-Fatigue scale, the Brief Pain Inventory-Short Form, and the psychological subscale of Memorial Symptom Assessment Scale-Short Form were used to assess the symptoms at five time points: before radiotherapy (T0), during treatment (T1), and at 1 month (T2), 3 months (T3), and 6 months (T4) after radiotherapy. The generalized estimating equations method was used to determine the changes in fatigue and the influencing factors.

RESULTS

Fatigue levels at T1, T2, T3, and T4 were significantly higher than that at T0. Higher fatigue was significantly associated with lower income and poorer functional status. Having worse pain levels and psychological symptoms were both associated with higher fatigue.

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

The results indicate fatigue does not recover to the baseline (pretherapy) level by 6 months after radiotherapy. Thus, fatigue in patients with HCC receiving radiotherapy should be regularly and effectively assessed, and patients experiencing pain and psychological symptoms should be given greater attention from clinicians.

The efficacy of progressive muscle relaxation training on cancer-related fatigue and quality of life in patients with cancer: A systematic review and meta-analysis of randomized controlled studies

BACKGROUND

Cancer-related fatigue is one of the most common symptoms in cancer patients, usually accompanied by anxiety, depression and insomnia, which seriously affect patients' quality of life. Progressive muscle relaxation training is widely used for cancer-related fatigue, but the overall effect is unclear.

OBJECTIVES

The aim of this study was to summarize the evidence on the effects of progressive muscle relaxation training on cancer-related fatigue and quality of life in cancer patients.

DESIGN

Systematic review and meta-analysis.

METHODS

Nine electronic databases (PubMed, Excerpta Medica Database (Embase), The Cochrane Library (Cochrane Central Register of Controlled Trials, CENTRAL), Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP) and Wanfang Database) were explored for randomized controlled trials (RCTs) published before February 2023. This study was reported based on the PRISMA 2020 statement. The Cochrane Collaboration's risk of bias assessment tool was used for methodological assessment, and the GRADE pro online assessment tool was used for evidence evaluation. The data were analyzed with the Review Manager 5.4 software.

RESULTS

Twelve studies involving 1047 patients were included. Meta-analysis showed that progressive muscle relaxation training plus routine nursing produced more positive effects than routine nursing in improving cancer-related fatigue [SMD = -1.06, 95 % CI -1.49, -0.62, P < 0.00001], anxiety [SMD = -1.09, 95 % CI -1.40, -0.77, P < 0.00001], depression [SMD = -1.43, 95 % CI -1.76, -1.10, P < 0.00001], and quality of sleep [MD = -1.41, 95 % CI -1.74, -1.08, P < 0.00001]. However, there was no significant difference in improving quality of life [SMD = 0.27, 95 % CI -0.62, 1.15, P = 0.55]. Progressive resistance exercise plus routine nursing improved cancer-related fatigue more than progressive muscle relaxation training plus routine nursing [SMD = 1.11, 95 % CI 0.43, 1.78, P = 0.001]. There was low certainty of evidence that progressive muscle relaxation training improved cancer-related fatigue and quality of sleep, and the evidence that improved quality of life, anxiety and depression was very low.

CONCLUSION

Current evidence suggested that progressive muscle relaxation training has the potential to improve cancer-related fatigue, anxiety, depression and quality of sleep in patients with cancer and is a low-load, simple exercise worthy of recommendation for cancer patients in fatigue state. Future research should focus on improving the methodological quality of randomized controlled trials to enhance the persuasive evidence of progressive muscle relaxation training efficacy.

COVID-19 pandemic stress and cancer symptom burden

OBJECTIVES

In a sample of patients with cancer (n=1145) who were assessed during the height of the COVID-19 pandemic, latent profile analysis was used to identify subgroups of patients with distinct stress profiles and to evaluate for differences in demographic and clinical characteristics and symptom severity scores among these subgroups.

METHODS

Patients completed measures of cancer-specific and COVID-19 stress, global stress, social isolation, loneliness, depression, state and trait anxiety, morning and evening fatigue, morning and evening energy, sleep disturbance, cognitive function, and pain. Latent profile analysis was used to identify subgroups of patients with distinct stress profiles. Differences among the subgroups in study measures were evaluated using parametric and non-parametric tests.

RESULTS

Using clinically meaningful cut-off scores for the stress measures, four distinct stress profiles were identified (ie, none class (51.3%); low stress and moderate loneliness class (24.4%), high stress and moderate loneliness class (14.0%), and very high stress and moderately high loneliness class (high, 10.3%)). Risk factors associated with membership in the high class included: younger age, lower annual household income, lower functional status and higher comorbidity burden. The two worst stress profiles reported clinically meaningful levels of all of the common symptoms associated with cancer and its treatments.

CONCLUSION

Findings from this study, obtained prior to the availability of COVID-19 vaccines and anti-viral medications, provide important 'benchmark data' to evaluate for changes in stress and symptom burden in patients with cancer in the postvaccine era and in patients with long COVID-19.

Symptom profiles and related factors among patients with advanced cancer: A latent profile analysis

Objective

This study aimed to investigate symptom subgroups and associated influencing factors in patients with advanced cancer.

Methods

A cross-sectional study was conducted, involving 416 patients with advanced cancer. The study examined five symptoms: fatigue, pain, sleep impairment, anxiety, and depression. Latent Profile Analysis (LPA) was utilized to classify symptom subgroups. A multiple logistic regression analysis was conducted to explore factors associated with the identified symptom subgroups.

Results

The analysis revealed three distinct subgroups among the participants: "all low" (58.2%), characterized by normal symptoms except for moderate sleep quality; "all moderate" (35.1%), exhibiting normal symptoms except for poor sleep quality and fatigue; and "all high" (6.7%), experiencing normal pain, moderate depression, moderate anxiety, poor sleep quality, and fatigue. Malnutrition risk, cancer diagnosis, and cancer survivorship duration were found to be associated with a more severe symptom burden.

Conclusions

Patients in the "all high" subgroup faced an increased risk of malnutrition and a longer cancer survivorship duration. Additionally, patients in the "all moderate" subgroup were distinguished by having a breast cancer diagnosis. These findings have significant implications for allocating medical resources and implementing person-centered symptom management strategies.

Toxicities and Quality of Life during Cancer Treatment in Advanced Solid Tumors

The purpose of the study was to identify subgroups of advanced cancer patients who experienced grade 3-4 toxicities as reported by their oncologists as well as identify the demographic, clinical, and treatment symptom characteristics as well as QoL outcomes associated with distinct profiles of each patient. A prospective, multicenter, observational study was conducted with advanced cancer patients of 15 different hospitals across Spain. After three months of systemic cancer treatment, participants completed questionnaires that evaluated psychological distress (BSI-18), quality of life (EORTC QLQ-C30) and fatigue (FAS). The most common tumor sites for the 557 cancer patients with a mean age of 65 years were bronchopulmonary, digestive, and pancreas. Overall, 19% of patients experienced high-grade toxicities (grade 3-4) during treatment. Patients with recurrent advanced cancer, with non-adenocarcinoma cancer, undergoing chemotherapy, and a showing deteriorated baseline status (ECOG > 1) were more likely to experience higher toxicity. Patients who experienced grade 3-4 toxicities during cancer treatment had their treatment suspended in 59% of the cases. Additionally, 87% of the patients had a dose adjustment or a cycle delayed in their treatment due to a high risk of dying during treatment. Future research should focus on identifying interventions to reduce high-grade toxicities and improve quality of life in cancer patients.

Symptom Patterns in Young Adults with Cancer: An App-Based Study

OBJECTIVES

To investigate symptom patterns in young adults with cancer using a smartphone-based app. The authors sought to explore symptom frequency and severity, cluster patients based on their symptom severity, investigate the co-occurrence of severe symptoms, and explore the relationship between symptoms and activities.

DATA SOURCES

Data were collected, using a mobile app, from 161 young adults with cancer (mean age 25.5 years, 75% female, 59% with solid cancer). Symptom frequency/severity was investigated with descriptive statistics. K-means clustering technique was used to cluster patients based on the average symptom severity. Co-occurrence of severe symptoms was investigated with the association rule technique. The relationship between symptom severity and likelihood of performing a physical/social activity was explored with mixed-effects logistic regression.

CONCLUSION

The most frequently reported symptom was mood disturbance, followed by fatigue, which was also the most severe one. Two clusters of patients were identified, experiencing higher and lower severity for all symptoms. Severe appetite disturbances were frequently reported together with severe lack of energy and nausea. Severe lack of energy, either alone or together with mood disturbance, was often reported together with severe fatigue. Higher mood disturbance was associated with lower probability of performing physical and social activities. This study provides new insights into the symptom experience of young adults with cancer.

IMPLICATIONS FOR NURSING PRACTICE

Using a symptoms-tracking app may be a valid strategy for healthcare professionals, nurses, and researchers to support patients in symptom monitoring and, consequently, to identify and implement tailored symptom-management strategies.

A Group Intervention Combining Self-Hypnosis and Self-Care in Oncology: Implementation in Daily Life and Perceived Usefulness

Multicomponent mind-body interventions are increasingly studied in oncology to improve patients' quality of life (QOL). However, the respective usefulness of each of their components or their long-term use by the participants are rarely assessed. In this study, 95 women with different cancer diagnoses participated in a self-hypnosis and self-care group. Different questionnaires were administrated before (T1), right after (T2), 3 to 4 months after (T3), and 1 year after (T4) the intervention. After the intervention, 97.5% of the participants regularly practiced any kind of relaxation (vs. 50% at baseline), especially hypnosis. The different components of the intervention (i.e., being in a group, hypnosis exercises during the sessions and at home, self-care tasks, and discussions during the group sessions) were all considered to be very useful (M = 6.91-7.75/10). One year after the intervention, the 10 most used techniques were mainly concrete activities to take care of oneself. This intervention seems very relevant for women who had cancer. Our results allow a first reflection about the mechanisms of action of our intervention.Registration: ClinicalTrials.gov (NCT03144154). Registered on the 1st of May 2017.

Heterogeneity of vulnerability and taste changes in older cancer patients undergoing chemotherapy: a latent class analysis

PURPOSE

Taste changes and vulnerability are commonly co-occurring in oncology patients undergoing chemotherapy. However, few studies explored the association and the inter-individual variability of these two conditions. This study aimed to identify heterogeneous subtypes of vulnerability and taste changes in older cancer patients undergoing chemotherapy, and explore individuals' characteristics and risk factors.

METHODS

In this cross-sectional study, the latent class analysis (LCA) was conducted to identify the heterogeneous subgroups of patients with distinct vulnerability and taste change profiles. Differences in sociodemographic and clinical characteristics among the subpopulation were evaluated using parametric and nonparametric tests. Multinomial logistic regression was performed to investigate predictors of taste change-vulnerability subgroup classification.

RESULTS

Three subgroups of those older cancer survivors were identified from the LCA: Class 1 (27.5%)-"Moderate taste change and low vulnerability", Class 2 (29.0%)-"Low taste change and moderate vulnerability", Class 3 (43.5%)-"High taste change and high vulnerability". 98.9% of Class 3 reported taste changes and 54.0% reported vulnerability. Results from multinomial logistic regression indicated that patients in Class 3 were more likely to report experiencing mouth dryness and high blood pressure, and have received more than 3 cycles of chemotherapy.

CONCLUSION

The findings could provide new insights into the association between taste changes and vulnerability in older cancer adults receiving chemotherapy. Identifying different latent classes of taste changes and vulnerability would be helpful for developing interventions tailored to the heterogeneous survivors.

Sleep disturbance and decrements in morning energy contribute to a higher symptom burden in oncology patients

OBJECTIVE/BACKGROUND

An emerging area of research is the relationship between sleep disturbance and decrements in energy. Given the paucity of research on the co-occurrence of these two symptoms, study purposes were to identify subgroups of oncology patients with distinct joint sleep disturbance AND morning energy profiles and evaluate for differences among the subgroups in demographic, clinical, and sleep disturbance characteristics, as well as the severity of other common symptoms and QOL outcomes.

PATIENTS/METHODS

Patients (n = 1336) completed measures of sleep disturbance and energy 6 times over two cycles of chemotherapy. All of the other measures were completed at enrollment. Latent profile analysis was used to identify the distinct joint sleep disturbance and morning energy profiles.

RESULTS

Three distinct profiles were identified (i.e., Low Sleep Disturbance and High Morning Energy (Normal, 20.6%), Moderate Sleep Disturbance and Low Morning Energy (Moderately Severe, 52.1%), Very High Sleep Disturbance and Very Low Morning Energy (Very Severe, 27.3%). Compared to Normal class, other two classes were more likely to be female, less likely to be employed, and had higher comorbidity burden and poorer functional status. Symptom scores and QOL outcomes exhibited a dose response effect (i.e., as the profile worsened, symptom scores increased and QOL scores decreased).

CONCLUSIONS

Given the associations between sleep disturbance and decrements in energy and a higher symptom burden, poorer QOL outcomes, and increased mortality, assessment of these two symptoms needs to be a high priority for clinicians and appropriate interventions initiated.

The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis

Objective

To explore the association between the pain-fatigue-sleep disturbance-depression symptom cluster (SC) and cancer-related cognitive impairment (CRCI) in patients having lung cancer and to identify other factors influencing CRCI.

Methods

A cross-sectional study was conducted to investigate 378 patients having lung cancer in China from October 2021 to July 2022. The perceived cognitive impairment scale and the general anxiety disorder-7 were used to assess patients' cognitive impairment and anxiety, respectively. The pain-fatigue-sleep disturbance-depression SC was assessed with the brief fatigue inventory, the brief pain inventory, the Patient Health Questionnaire-9, and the Athens Insomnia Scale. Latent class analysis by Mplus.7.4 was used to identify latent classes of the SC. We adjusted for covariates in the multivariable logistic regression model to examine the relationship between the pain-fatigue-sleep disturbance-depression SC and CRCI.

Results

Among patients having lung cancer, two SC classes were identified: high and low symptom burden groups. In the crude model, compared to the low symptom burden group, the high symptom group had greater odds of developing CRCI (odds ratio: 10.065, 95% confidence interval: 4.138-24.478). After adjusting for covariates, in model 1, the high symptom group still had greater odds of developing CRCI (odds ratio: 5.531, 95% confidence interval: 2.133-14.336). Additionally, a diagnosis of over 6 months, anxiety, leisure activity, and a high platelet-to-lymphocyte ratio were found to be influencing factors of CRCI (all P ​< ​0.05).

Conclusions

Our study revealed that a high symptom burden is a significant risk factor for CRCI, which may provide a new perspective for managing CRCI in lung patients having cancer.

The level of fatigue, insomnia, depression, anxiety, stress, and the relationship between these symptoms following allogeneic hematopoietic stem cell transplantation: a cross-sectional study

PURPOSE

This study investigated the incidence of fatigue, insomnia, depression, anxiety, and stress symptoms in patients after allogeneic hematopoietic stem cell transplantation (AHSCT), as well as explored potential relationships among these symptoms.

METHODS

A total of 126 patients who had undergone transplantation at a university hospital at least one month prior to the study's commencement were included. The study was conducted as a cross-sectional and relational research, and data were collected using the "Personal Information Form," "Brief Fatigue Inventory," "Insomnia Severity Index," and "Depression Anxiety Stress Scale." Statistical analyses included descriptive statistics, parametric and nonparametric tests, and correlation analyses using the Spearman Correlation Coefficient. Additionally, mediation analyses were conducted using a Structural Equation Model to explore potential causal relationships among the variables.

RESULTS

The incidence of fatigue was high among patients, with 94% experiencing this symptom following transplantation. Additionally, 52% had anxiety, 47% had insomnia, 47% had depression, and 34% had stress. Moderate relationships were observed between these symptoms. Regression analysis revealed that one-point increase in fatigue was associated with increases in stress 1.065 points, depression 0.937 points, anxiety 0.956 points, and insomnia 0.138 points (p<0.001). Similarly, one-point increase in insomnia was associated with increases in fatigue 3.342 points, stress 0.972 points, depression 0.885 points, and anxiety 0.816 points (p<0.001).

CONCLUSION

After AHSCT, fatigue was the most frequent symptom experienced by patients, followed by insomnia, depression, anxiety, and stress. There was a relationship between these symptoms. Additionally, evidence suggested that insomnia was more strongly associated with fatigue compared to the other symptoms.

Associations among hearing loss, multiple co-occurring symptoms, and quality of life outcomes in cancer survivors

PURPOSE

Evaluate for differences in demographic and clinical characteristics, occurrence of common symptoms, symptom severity scores, and quality of life (QOL) outcomes in survivors with (n = 155) and without (n = 118) audiometrically confirmed hearing loss.

METHODS

Survivors, who were recruited from throughout the San Francisco Bay area, completed the self-report questionnaires to obtain the information of demographic and clinical characteristics; the occurrence and severity of depression, anxiety, fatigue, decrements in energy, sleep disturbance, pain, and cognitive impairment; and the general and cancer-specific QOL outcomes. Parametric and non-parametric tests were used to evaluate for differences between the two survivor groups.

RESULTS

Survivors with audiometrically confirmed hearing loss were older, more likely to be male, were more likely to be unemployed, report a lower annual household income, and had a higher comorbidity burden. Except for the severity of worst pain, no between-group differences were found in the occurrence rates for or severity of any of the symptoms. Survivors with hearing loss reported worse physical function and general health scores.

CONCLUSIONS

While no between-group differences in symptom occurrence rates and severity scores were found, across the total sample, a relatively high percentage of survivors who were over 6 years from their cancer diagnosis reported clinically meaningful levels of depression (25%), anxiety (50%), fatigue (40%), decrements in energy (70%), sleep disturbance (58%), cognitive impairment (57%), and pain (60%).

IMPLICATIONS FOR CANCER SURVIVORS

Clinicians need to perform routine assessments of hearing loss, as well as common co-occurring symptoms and initiate individualized symptom management interventions.

Describing and visualizing the patient and caregiver experience of cancer pain in the home context using ecological momentary assessments

Background

Pain continues to be a difficult and pervasive problem for patients with cancer, and those who care for them. Remote health monitoring systems (RHMS), such as the Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C), can utilize Ecological Momentary Assessments (EMAs) to provide a more holistic understanding of the patient and family experience of cancer pain within the home context.

Methods

Participants used the BESI-C system for 2-weeks which collected data via EMAs deployed on wearable devices (smartwatches) worn by both patients with cancer and their primary family caregiver. We developed three unique EMA schemas that allowed patients and caregivers to describe patient pain events and perceived impact on quality of life from their own perspective. EMA data were analyzed to provide a descriptive summary of pain events and explore different types of data visualizations.

Results

Data were collected from five (n = 5) patient-caregiver dyads (total 10 individual participants, 5 patients, 5 caregivers). A total of 283 user-initiated pain event EMAs were recorded (198 by patients; 85 by caregivers) over all 5 deployments with an average severity score of 5.4/10 for patients and 4.6/10 for caregivers' assessments of patient pain. Average self-reported overall distress and pain interference levels (1 = least distress; 4 = most distress) were higher for caregivers (x ¯ 3.02, x ¯ 2.60 , respectively ) compared to patients (x ¯ 2.82, x ¯ 2.25, respectively) while perceived burden of partner distress was higher for patients (i.e., patients perceived caregivers to be more distressed, x ¯ 3.21, than caregivers perceived patients to be distressed, x ¯ 2.55 ). Data visualizations were created using time wheels, bubble charts, box plots and line graphs to graphically represent EMA findings.

Conclusion

Collecting data via EMAs is a viable RHMS strategy to capture longitudinal cancer pain event data from patients and caregivers that can inform personalized pain management and distress-alleviating interventions.