The influence of symptom clusters and the most distressing concerns regarding quality of life among patients with inoperable lung cancer

Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy

PURPOSE

To identify symptom clusters (SCs) in lung cancer patients undergoing chemotherapy and explore their impact on health-related quality of life (HRQoL).

METHODS

Patients were invited to complete the Chinese version of the M.D. Anderson Symptom Inventory with the Lung Cancer Module and the Quality of Life Questionnaire-core 30. Network analysis was employed to identify SCs. The associations between SCs and each function of HRQoL were examined using the Pearson correlation matrix. Multiple linear regression was applied to analyze the influencing factors of each function of HRQoL.

RESULTS

A total of 623 lung cancer patients who were receiving chemotherapy were recruited. The global health status of lung cancer patients was 59.71 ± 21.09, and 89.73% of patients developed symptoms. Three SCs (Somato-psychological SC, Respiratory SC, and Gastrointestinal SC) were identified, and Somato-psychological SC and Gastrointestinal SC were identified as influencing factors for HRQoL in lung cancer patients.

CONCLUSION

Most lung cancer patients who undergo chemotherapy experience a range of symptoms, which can be categorized into three SCs. The Somato-psychological SC and Gastrointestinal SC negatively impacted patients' HRQoL. Health care providers should prioritize monitoring these SCs to identify high-risk patients early and implement targeted preventive and intervention measures for each SC, aiming to alleviate symptom burden and enhance HRQoL.

Interactive Health Literacy and Symptom Self-management in Patients With Lung Cancer: A Critical Realist Analysis

BACKGROUND

Patients with lung cancer experience multiple symptoms requiring self-management. Little is known about how self-management is influenced by interactive health literacy, defined as communicating with healthcare providers to obtain and process information.

OBJECTIVE

This study explored how interactive health literacy relates to symptom self-management among patients with lung cancer. A second aim explored how interactive health literacy might be integrated into the Individual and Family Self-management Theory.

METHODS

This study used a cross-sectional mixed-methods design. Quantitative data included demographics, the All Aspects of Health Literacy Scale, and the Memorial Symptom Assessment-Short Form. Qualitative data were collected using semistructured interviews. Data analysis followed a critical realist model.

RESULTS

Twelve adults who recently received treatment for lung cancer reported an average of 14 symptoms that caused moderate distress. Average interactive health literacy of the sample was in the moderate range. Participants' experiences of self-management differed based on their interactive health literacy. A generative mechanism proposes that those with higher interactive health literacy who accessed online information used this information as a basis for engaging with providers regarding potential symptom self-management strategies.

CONCLUSIONS

Interactive health literacy skills may play a role in patients' ability and confidence in symptom self-management through interactions with oncology providers. Further research should clarify the relationship between interactive health literacy, self-efficacy, and collaboration with oncology providers.

IMPLICATIONS FOR PRACTICE

The patient-provider relationship is a key factor influencing how patients obtain and process symptom self-management information. Oncology providers should implement patient-centered strategies to engage patients in symptom self-management.

Symptom Clusters in Children With Leukemia Receiving Chemotherapy: A Scoping Review

BACKGROUND

Leukemia represents the most prevalent childhood malignancy. Understanding the symptom clusters (SCs) associated with leukemia may help develop an effective care plan for affected children.

OBJECTIVES

The aims of this study were to summarize the methods of identifying SCs; ascertain the types, attributes, and changing patterns of SCs during different chemotherapy phases; and provide a point of reference for the subsequent improvement of symptom management in pediatric leukemia.

METHODS

The methodological framework employed was the Joanna Briggs Institute Scoping Review Guide. A comprehensive search was conducted across various databases, including PubMed, EMBASE, CINAHL, Web of Science, MEDLINE, Scopus, and China National Knowledge Infrastructure from inception until July 15, 2023.

RESULTS

A total of 14 articles were included in this review, 6 in English and 8 in Chinese. The Memorial Symptom Assessment Scale 10-18 is the most commonly used instrument, whereas factor analysis is the most common statistical method for SC identification. The SCs were classified into 12 categories. The most severe SCs varied across different phases. Specifically, the emotional cluster dominated the prechemotherapy phase, the gastrointestinal cluster surfaced during postinduction therapy, and the consolidation and maintenance therapy phases revealed the self-image disorder cluster.

CONCLUSION

Various consistent and dynamic SCs manifest among pediatric patients with leukemia undergoing chemotherapy.

IMPLICATIONS FOR PRACTICE

Future research endeavors should formulate clear criteria to determine the stability and consistency of SCs, validate SC composition and characteristics, and devise precise symptom management protocols based on SC characteristics in the distinct chemotherapy phases.

An Investigation of Symptom Clusters and Sentinel Symptoms During the First 2 Cycles of Postoperative Chemotherapy in Patients With Lung Cancer

BACKGROUND

Lung cancer has the highest incidence and mortality of all cancers in China. Patients after a lobectomy experience serious physical and psychological symptoms during chemotherapy. Studies are lacking about symptom clusters (SCs) and sentinel symptoms during the postoperative chemotherapy period in lung cancer patients.

OBJECTIVE

The aim of this study was to explore SCs and sentinel symptoms during cycles 1 and 2 of postoperative chemotherapy in patients with lung cancer.

METHODS

Using a longitudinal study design, patients in treatment for lung cancer were measured at 2 separate points following a lobectomy: chemotherapy cycle 1 and chemotherapy cycle 2. The MD Anderson Symptom Inventory lung cancer-specific module and First Appearance of Symptoms Time Sheet were completed.

RESULTS

A total of 180 postoperative patients with lung cancer participated in the study. Four SCs were identified at chemotherapy cycle 1: gastrointestinal SC, respiratory tract SC, psychological SC, and somatic SC. The sentinel symptoms were nausea, cough, sadness, and fatigue. At chemotherapy cycle 2, similar SCs were identified, with the exception of merging the psychological SC and somatic SC, resulting in 3 clusters: gastrointestinal SC, respiratory tract SC, and psychological-somatic SC. The sentinel symptoms were nausea, cough, and fatigue.

CONCLUSIONS

Symptom clusters and sentinel symptoms were stable during the first 2 cycles of postoperative chemotherapy in patients with lung cancer.

IMPLICATIONS FOR PRACTICE

The understanding of SCs and sentinel symptoms could be beneficial to assess and manage both in postoperative patients with lung cancer during chemotherapy. Nurses should pay close attention to sentinel symptoms and develop effective interventions.

Symptom clusters change over time among patients with gynecological cancer receiving chemotherapy

PURPOSE

This study aimed to explore symptom clusters at different time points among patients with gynecological cancer undergoing chemotherapy.

METHODS

A longitudinal design was used to explore the patterns of symptom clusters four times: during prechemotherapy (T0), first (T1), second (T2), and third (T3) cycles of chemotherapy. The Memorial Symptom Assessment Scale was used to assess the dimension of symptoms. The study was conducted in Indonesia. Exploratory factor analysis was used to analyze the structures of symptom clusters across time.

RESULTS

A total of 120 subjects provided baseline data, and 82 were retained at T3. Before chemotherapy, the most prevalent symptoms were pain and difficulty in sleeping. However, after starting chemotherapy, the patients suffered from chemotherapy-related side effects, including nausea, change in taste, lack of appetite, hair loss, fatigue, and feeling of "I don't look like myself." Six symptom clusters were identified in patients with gynecological cancer across four time points during chemotherapy: pain-related, nutritional, emotional, hormonal-related, fatigue-related, and body-image symptom clusters. Nutrition and emotion symptom clusters occurred consistently from T0 to T3, fatigue-related clusters appeared after chemotherapy at T1 and T2, and body-image symptom clusters emerged at late T2 and T3.

CONCLUSION

The structures of symptom clusters in this study were dynamic and various. The nutrition and emotional-related symptoms constituted a cluster during chemotherapy. Oncology nurses should provide physical and psychosocial interventions to relieve these symptoms in patients with gynecological cancer undergoing chemotherapy.

Change in symptom clusters perioperatively in patients with lung cancer

PURPOSE

To describe the trajectory, number, and types of symptom clusters at three time points (i.e., day of admission [T1], 2-4 days postoperatively [T2], and 1 month postoperatively [T3]) using ratings of symptom occurrence and severity and to identify the changes in these symptom clusters over time in patients with lung cancer.

METHODS

We analysed the data of 217 lung cancer patients who received surgical treatment at a tertiary hospital affiliated to Anhui Medical University, in Hefei City, China. The occurrence and severity of 19 symptoms at all points of measurement were measured using the general and lung cancer modules of the M.D. Anderson Symptom Inventory. Exploratory factor analysis was performed to extract the symptom clusters.

RESULTS

Seven symptom clusters were identified across symptom dimensions. However, only three of them (i.e., lung cancer specific, sleep disturbance, and nervous system) were relatively stable across dimensions and time. Two symptom clusters varied over time but not with dimensions (nutritional and gastrointestinal). The other two symptom clusters (psychological and respiratory) differed in terms of time and dimensions.

CONCLUSIONS

Findings may provide insights into the seven identified clusters and overall stability of three symptom clusters in lung cancer patients perioperatively.

Symptom Clusters Change Over Time in Patients With Lung Cancer During Perichemotherapy

BACKGROUND

Lung cancer has become the leading cause of cancer-related deaths in China, and patients often experience multiple symptoms and substantial discomfort. Understanding and managing concurrent symptoms of patients with lung cancer are crucial during perichemotherapy.

OBJECTIVE

To determine the types and components of symptom clusters according to the severity dimension and to understand how they change over time during perichemotherapy in a homogeneous population of patients with lung cancer.

METHODS

Patients were recruited using convenience sampling. The Chinese version of the MD Anderson Symptom Inventory and the revised lung cancer module were used to measure multiple symptoms at the following 3 separate points: 2 weeks before chemotherapy (T1), chemotherapy cycle 1 (T2), and chemotherapy cycle 4 (T3). Symptom clusters were identified by exploratory factor analysis.

RESULTS

A total of 144 patients with non-small cell lung cancer participated in the study. Six symptom clusters were identified at the 3 time points. Among the 6 symptom clusters, 3 symptom clusters remained stable at all time points, and differences were found in symptom clusters before and after chemotherapy.

CONCLUSIONS

Symptom clusters can change during perichemotherapy, showing some stability and differences over time.

IMPLICATIONS FOR PRACTICE

An improved understanding of symptom cluster trajectories in patients with lung cancer may facilitate effective assessment, prevention, and management of multiple concurrent symptoms. These findings will help clinicians to develop predictive interventions and reduce the symptom burden of patients undergoing chemotherapy.

Correlation Between Symptom Clusters and Quality of Life in Children With Acute Leukemia During Chemotherapy

BACKGROUND

Children with acute leukemia experience various distressing symptoms due to the disease and its treatment during chemotherapy. These symptoms cluster together and have negative impacts on patient outcomes.

OBJECTIVE

The aim of this study was to examine symptom clusters that children with acute leukemia undergoing chemotherapy are experiencing and the impact of these symptom clusters on their quality of life.

METHODS

A cross-sectional study design was used, and 184 Chinese children with acute leukemia who were undergoing chemotherapy were invited to participate in the study. Memorial Symptom Assessment Scale 10-18 and Pediatric Quality of Life Inventory General Core Module version 4.0 were applied. Exploratory factor analysis and multiple regression were used to identify symptom clusters and their influence on the quality of life.

RESULTS

Six symptom clusters were identified as gastrointestinal, emotional, neurological, skin mucosal, self-image disorder, and somatic cluster. The severity of each symptom cluster was negatively correlated with quality of life. Among them, gastrointestinal, emotional, and somatic clusters were significant predictors of quality of life.

CONCLUSIONS

There are multiple symptom clusters in children with acute leukemia, which seriously affect children's quality of life. To relieve symptom burden and improve quality of life, nursing and medical staff should pay attention to the symptom management and control in a symptom cluster perspective.

IMPLICATIONS FOR PRACTICE

The results of this study will provide suggestions for the healthcare provider to plan for these symptoms and manage any concurrent symptoms for the successful promotion of children's quality of life.

Factor analysis identifies three separate symptom clusters in idiopathic pulmonary fibrosis

Idiopathic pulmonary fibrosis (IPF) is a severe and progressive lung disease with a poor prognosis. Patients with IPF suffer from a high symptom burden, which impairs their health-related quality of life (HRQoL). Lack of research on IPF symptoms and their clustering, however, makes symptom-centred care challenging.

There are three distinct symptom factors (respiratory, emotional and pain) in IPF patients. The symptom factors are associated with impairment in different domains of quality of life, with the respiratory and emotional factors having a widespread impact.https://bit.ly/3inDezm

Lifestyle and Sociodemographic and Economic Characteristics of Patients with Lung Cancer in Morocco

Background

Lifestyle maintenance is a crucial condition before and after lung cancer disease. According to the previous research in the scientific databases, the effect of the interaction between socioeconomic and demographic factors on the lifestyle of lung cancer patients in Southern Morocco regions remains unexamined. Accordingly, this study was designed to examine the relationship between socioeconomic factors, demographic factors, and the lifestyle of lung cancer patients.

Methods

A total of 133 patients with lung cancer were divided into 103 men and 30 women with a sex ratio of 3.43 and ages varying between 28 and 82 years, and they served as informants for the study and filled in a questionnaire to provide information on their sociodemographic background, various economic characteristics, and their lifestyle. These patients have also been submitted to an anthropometric examination following the standardized procedure recommended by the World Health Organization. The survey was conducted from July 2013 to March 2015 at the Oncology and Radiotherapy Department, at Mohammed VI Hospital Center in Marrakech, Morocco.

Results

The preliminary results showed that the average age of patients was 59 ± 9 years. A proportion of 81% lived in the Marrakech-Safi region and 19% lived in four other southern regions. Among the patients, 6% were smokers, while 14% were nonsmokers and 80% were ex smokers. Following the discovery of the disease, 26% revealed that they had sleep disorders and 98% were reported to have a lack of appetite. Obesity, normal weight, and underweight were also taken as criteria to categorize the patients; thus, obese informants represented 23% of the total number, those having normal weight reached 67% and the patients having underweight represented 10%.

Conclusion

Sociodemographic variables and various economic characteristics were shown to have a negative impact on the lifestyle of lung cancer patients.

Differences in Symptom Clusters Identified Using Ratings of Symptom Occurrence vs. Severity in Lung Cancer Patients Receiving Chemotherapy

CONTEXT

An important question in symptom clusters research is whether the number and types of symptom clusters vary based on the specific dimension of the symptom experience used to create the clusters.

OBJECTIVES

Given that lung cancer patients undergoing chemotherapy (CTX) report an average of 14 co-occurring symptoms and studies of symptom clusters in these patients are limited, the purpose of this study, in lung cancer patients undergoing CTX (n = 145), was to identify whether the number and types of symptom clusters differed based on whether symptom occurrence rates or symptom severity ratings were used to create the clusters.

METHODS

A modified version of the Memorial Symptom Assessment Scale was used to assess for the occurrence and severity of 38 symptoms, one week after the administration of CTX. Exploratory factor analysis was used to extract the symptom clusters.

RESULTS

Both the number and types of symptom clusters were relatively similar using symptom occurrence rates or symptom severity ratings. Five symptom clusters were identified using both symptom occurrence rates and severity ratings (i.e., sickness behavior, lung cancer specific, psychological, nutritional, and epithelial). Across these two dimensions, the specific symptoms within each of the symptom clusters were relatively similar.

CONCLUSIONS

Identification of symptom clusters in patients with lung cancer may assist with the development of more targeted symptom management interventions. Future studies are warranted to determine if symptom clusters change over a cycle of CTX in patients with lung cancer.

Respiratory Symptoms, Sleep, and Quality of Life in Patients With Advanced Lung Cancer

CONTEXT

Maintenance of quality of life and symptom management are important in lung cancer therapy. To the author's knowledge, the interplay of respiratory symptoms and sleep disturbance in affecting quality of life in advanced lung cancer remains unexamined.

OBJECTIVES

The study was designed to examine the relationships among respiratory symptoms, sleep disturbance, and quality of life in patients with advanced lung cancer.

METHODS

A total of 128 patients with advanced lung cancer (from chest oncology inpatient-units in Shanghai, China) participated in the study. They completed two questionnaires: the Functional Assessment of Cancer Therapy-Lung and the Pittsburgh Sleep Quality Index.

RESULTS

Symptomatic breathing difficulty, coughing, shortness of breath, and tightness in the chest were reported in 78.1%, 70.3%, 60.9%, and 60.2% of the patients, respectively. Sleep disturbance affected 62.5% of the patients. The patients with severe respiratory symptoms were more likely to be poor sleepers and to have a lower quality of life. After the covariates were controlled for, regression analysis showed that respiratory symptoms and sleep disturbance were significant indicators of quality of life. In addition, some of the effect of the respiratory symptoms on quality of life was mediated by sleep disturbance.

CONCLUSION

Respiratory symptoms and sleep disturbance were common in the advanced lung cancer patients and had a negative impact on their quality of life; sleep disturbance may mediate the relationship between respiratory symptoms and quality of life.

Cancer patients' preferences of care within hospitals: a systematic literature review

PURPOSE

Knowledge about cancer patients' preferences in health care is important because it enables care to be patient centered. However, the literature does not provide an overview. The aim of this study was to identify the dimensions of hospital-based cancer care that patients evaluate the most important using Patient-rated importance as a method.

DATA SOURCE

PubMed was searched in 2013/2014.

STUDY SELECTION

Studies were identified, if they were in accordance with specific search terms and focused on hospital-based cancer care. Totally, 11 studies were found.

DATA EXTRACTION

The 11 studies comprised a total of 598 items. Of these, 592 items were categorized into 19 care dimensions. The highest rated quartile of items was identified as care elements patients evaluated to be the most important. Identification of the most important dimensions was done by calculating the percentages of items within each dimension that were within the highest quartile.

RESULTS OF DATA SYNTHESIS

The 11 studies varied a lot in regard to aim and patient characteristics. The three most important dimensions were as follows: Rapid diagnosis and treatment; High professional standard; and Information about treatment and side(effects)/consequences. Within four dimensions, Psychosocial support, Physical facilities, Waiting time and Transparency in care, no items were within the highest quartile.

CONCLUSION

Patient-rated importance was a useful method in identifying the care patients preferred. Due to a limited number of studies and great diversity within studies evaluated, interpretation of results should be cautious. However, it seems that cancer patients treated in hospitals with a curative intent find treatment-related information, professional standard and short delay of diagnosis and treatment most important.

Treatment with oral anticancer agents: symptom severity and attribution, and interference with comorbidity management

PURPOSE/OBJECTIVES

To evaluate the prevalence, severity, and attribution of symptoms, as well as the interference with management of comorbidities, in patients who have been prescribed oral anticancer agents (OAs).

DESIGN

Descriptive exploratory study.

SETTING

A comprehensive cancer center and two community-based oncology programs in the midwestern United States.

SAMPLE

30 adults undergoing OA treatment.

METHODS

Five phone interviews were conducted during eight weeks. Linear mixed effects and generalized estimating equations were used to examine symptoms and interference over time.

MAIN RESEARCH VARIABLES

Symptoms and comorbid conditions.

FINDINGS

The mean age of participants was 65.1 years. Fifteen participants were female, 25 were Caucasian, and 23 had comorbidities. Twenty-one patients had late-stage cancer, and rates of adherence were 90%. Fatigue, sleep disturbance, and numbness or tingling in hands and feet were highly prevalent symptoms. Younger age was associated with higher symptom severity (p < 0.01) and interference (p = 0.01). Patients with more comorbidities tended to report higher symptom severity. Simultaneous IV chemotherapy was not a predictor of symptom severity or interference over age and comorbidity. Symptoms were most frequently attributed to cancer and its treatment. Patients with a greater number of comorbidities were more likely to include comorbidities in symptom attribution and reported interference from the OA with managing comorbid conditions.

CONCLUSIONS

Symptoms may be more severe in patients prescribed OAs who are younger and have comorbid conditions. More comorbidities and absence of simultaneous IV chemotherapy increased the likelihood of inclusion of chronic conditions in symptom attribution. Patients reported that OA treatment interfered with comorbidity management.

IMPLICATIONS FOR NURSING

Nurses need to take comorbidities into account when caring for patients prescribed OAs because the chronic conditions may influence symptom severity and the ability to manage symptoms.

Measures and Methods for Symptom and Symptom Cluster Assessment in Adolescents and Young Adults with Cancer

OBJECTIVES

To provide an overview of resources for measuring symptoms and symptom clusters in adolescents and young adults (AYAs) with cancer and to examine methodological strategies for evaluating symptom clusters.

DATA SOURCES

Published research articles and clinical experience.

CONCLUSION

Limited research has addressed symptoms and symptom clusters in AYAs with cancer. Reliable, valid, and developmentally appropriate measures are needed to advance this area of research.

IMPLICATIONS FOR NURSING PRACTICE

Use of mobile technology and mixed qualitative and quantitative methods to understand AYAs' experience of symptoms and symptom clusters could enhance symptom awareness and the evidence base for practice.

What bothers lung cancer patients the most? A prospective, longitudinal electronic patient-reported outcomes study in advanced non-small cell lung cancer

PURPOSE

Patients with advanced non-small cell lung cancer (aNSCLC) face a significant symptom burden. Little is known about the frequency and severity of symptoms over time, so we longitudinally characterized patients' symptoms using the Patient Care Monitor (PCM) version 2.0, an electronic symptom-assessment tool.

METHODS

Ninety-seven patients with aNSCLC completed the PCM at up to four clinic visits. We analyzed symptom data by incidence, severity, type (functional vs. nonfunctional), proximity to death, and cancer anorexia-cachexia syndrome status (CACS).

RESULTS

Functional concerns predominated, even in the non-CACS group. Average severity among the top 5 symptoms was worse for functional than nonfunctional items (mean difference 0.62, 95% CI 0.22-1.01, P = 0.003). Severe dyspnea and fatigue were the most prevalent nonfunctional symptoms; moderate/severe dyspnea was reported by at least 29% of patients, and fatigue by over 50%. Depression was reported infrequently, with over half of patients at each visit reporting "none"; moderate or severe depression was reported in only 2.5-9.3 and 3.4-6.2% of patients, respectively. The average number of moderate/severe symptoms increased with proximity to death; 84% reported moderate/severe fatigue in the last 3 months of life, compared to 48% at ≥ 12 months from death (P = 0.007).

CONCLUSIONS

Patients with aNSCLC face a significant symptom burden, which increases with proximity to death. Symptom type and severity vary by proximity to death, but even patients without overt CACS report significant functional symptoms throughout. We recommend an individualized approach to palliative symptom intervention in advanced lung cancer, based on detailed symptom assessment and tracking.