Patient-reported symptom burden and supportive care needs at cancer diagnosis: a retrospective cohort study

The impact of whole-process visualization collaborative nursing discussions education on perioperative symptoms and emotional well-being in radical prostatectomy patients

OBJECTIVE

Prostate cancer is one of the most common malignant neoplasms in elderly males, with radical prostatectomy being the established therapeutic approach for localized disease. Patients undergoing this surgical procedure frequently experience increased negative emotions and symptomatology during the perioperative period, likely due to concerns about the illness and its treatment. The present study aims to investigate the effects of a novel educational approach involving a whole-process visualization and collaborative nursing discussions on perioperative symptoms and emotional well-being in radical prostatectomy patients.

METHODS

Data were prospectively collected from 310 patients admitted to the hospital between June 2021 and December 2023, all of whom were scheduled to undergo radical prostatectomy. These patients were randomly assigned to either the intervention group (receiving new model education) or the control group (receiving conventional education), with 155 patients in each group. The study compared basic demographic information, anxiety and depression scores, fear of disease progression scores, quality-of-life scores, main symptom scores, and changes in perioperative vital signs between the two groups.

RESULTS

No statistically significant differences were observed between the two groups in terms of age, comorbidities, insurance type, education level, income, and tumor history (P > 0.05). Similarly, there were no significant differences in anxiety and depression scores, proportion of patients with anxiety and depression, vital signs, and fear of disease progression scores between the two groups at Time 1 stage (P > 0.05). During stages Time 2 and Time 3, the intervention group exhibited lower anxiety and depression scores, a lower proportion of anxious and depressed patients, as well as significantly reduced blood pressure and heart rate fluctuations compared to the control group (P < 0.05). Following radical prostatectomy, the main symptoms of patients, such as pain, nausea, and fatigue, were assessed using the MADIS Symptom Assessment Scale on days 1-3 post-surgery. The intervention group exhibited significantly lower scores for three symptoms compared to the control group (P < 0.05); at Time 4 stage, the patients in the intervention group also demonstrated significantly improved quality-of-life scores compared to the control group (P < 0.05). Additionally, blood pressure and heart rate of patients returned to baseline levels at Time 4 stage, with no significant difference between the two groups (P > 0.05). Nevertheless, the anxiety and depression scores in the intervention group at the Time 4 stage remained significantly lower than those in the control group (P < 0.05). Additionally, the fear of disease progression scores in both groups were lower than those at the Time 1 stage, with a more pronounced improvement observed in the intervention group compared to the control group (P < 0.05).

CONCLUSION

Patients diagnosed with malignant tumors often experience fear and anxiety regarding the progression of their disease and upcoming surgery, as well as uncertainty surrounding their treatment and prognosis. This heightened emotional distress can contribute to a greater symptom burden during the perioperative period. Utilizing a whole-process visualization and collaborative nursing discussion approach, as compared to traditional communication methods, has been shown to alleviate patients' fears, reduce anxiety and depression, and ultimately lessen the symptom burden experienced during the perioperative phase. Ultimately, this approach can enhance the overall quality of life for patients facing malignant tumors.

Symptom clusters of patients with advanced thyroid cancer: a cross-sectional study

PURPOSE

To investigate and analyze the symptom clusters of patients with advanced thyroid cancer and provide a basis for developing targeted symptom management measures.

METHODS

Patients who visited a multidisciplinary outpatient service for advanced thyroid cancer at a tertiary A hospital in Sichuan Province from April 2022 to April 2023 were selected using convenience sampling. A cross-sectional survey was conducted using the M.D. Anderson Symptom Inventory-Thyroid Cancer module (MDASI-THY). Symptom clusters were extracted by exploratory factor analysis.

RESULTS

Disturbed sleep had the highest incidence (75.7%) and severity (3.0 points), while mood distress had the highest incidence (63.5%) and severity (2.0 points) of symptom interference. Three symptom clusters were identified: mood-fatigue-sleep, digestive tract-sensation, and thyroid cancer-specific symptom clusters.

CONCLUSION

Patients with advanced thyroid cancer have multiple symptom clusters that seriously affect their daily lives. Health care professionals should conduct targeted observation and preventive treatment to reduce the burden of symptoms on patients.

The multinomial mixed-effect regression model for predicting PCOC phases in hospice patients

PURPOSE

The Palliative Care Outcomes Collaboration (PCOC) aims to enhance patient outcomes systematically. However, identifying crucial items and accurately determining PCOC phases remain challenging. This study aims to identify essential PCOC data items and construct a prediction model to accurately classify PCOC phases in terminal patients.

METHODS

A retrospective cohort study assessed PCOC data items across four PCOC phases: stable, unstable, deteriorating, and terminal. From July 2020 to March 2023, terminal patients were enrolled. A multinomial mixed-effect regression model was used for the analysis of multivariate PCOC repeated measurement data.

RESULTS

The dataset comprised 1933 terminally ill patients from 4 different hospice service settings. A total of 13,219 phases of care were analyzed. There were significant differences in the symptom assessment scale, palliative care problem severity score, Australia-modified Karnofsky performance status, and resource utilization groups-activities of daily living among the four PCOC phases of care. Clinical needs, including pain and other symptoms, declined from unstable to terminal phases, while psychological/spiritual and functional status for bed mobility, eating, and transfers increased. A robust prediction model achieved areas under the curves (AUCs) of 0.94, 0.94, 0.920, and 0.96 for stable, unstable, deteriorating, and terminal phases, respectively.

CONCLUSIONS

Critical PCOC items distinguishing between PCOC phases were identified, enabling the development of an accurate prediction model. This model enhances hospice care quality by facilitating timely interventions and adjustments based on patients' PCOC phases.

Predicting which patients with cancer will see a psychiatrist or counsellor from their initial oncology consultation document using natural language processing

BACKGROUND

Patients with cancer often have unmet psychosocial needs. Early detection of who requires referral to a counsellor or psychiatrist may improve their care. This work used natural language processing to predict which patients will see a counsellor or psychiatrist from a patient's initial oncology consultation document. We believe this is the first use of artificial intelligence to predict psychiatric outcomes from non-psychiatric medical documents.

METHODS

This retrospective prognostic study used data from 47,625 patients at BC Cancer. We analyzed initial oncology consultation documents using traditional and neural language models to predict whether patients would see a counsellor or psychiatrist in the 12 months following their initial oncology consultation.

RESULTS

Here, we show our best models achieved a balanced accuracy (receiver-operating-characteristic area-under-curve) of 73.1% (0.824) for predicting seeing a psychiatrist, and 71.0% (0.784) for seeing a counsellor. Different words and phrases are important for predicting each outcome.

CONCLUSION

These results suggest natural language processing can be used to predict psychosocial needs of patients with cancer from their initial oncology consultation document. Future research could extend this work to predict the psychosocial needs of medical patients in other settings.

The effect of a fatigue self-management program based on individual and family self-management theory in cancer patients: A single-blinded randomized controlled trial

PURPOSE

This study was conducted to investigate the effect of the Fatigue Self-Management Program based on the Individual and Family Self-Management Theory on fatigue, daily living activities, and well-being in cancer patients.

METHODS

This randomized controlled single-blind experimental study was carried out between November 2020 and April 2022. A total of 94 patients with advanced cancer, 47 in each group, were included in the study, and 57 participants completed the study. Data were collected using the Brief Fatigue Inventory, Katz Index of Independence in Activities of Daily Living, and Well-Being Questionnaire-22. The Fatigue Self-Management Program based on Individual and Family Self-Management Theory was delivered to the intervention group with two face-to-face and two tele-monitoring sessions. No intervention was applied to the control group, who received only routine care.

RESULTS

The mean score of fatigue in the intervention group compared to the control group decreased, and the difference was statistically significant (p < .05); daily living activities mean scores were higher than the control group, but there was no statistically significant difference (p > .05). The mean scores of depression and anxiety in the intervention group were lower than those in the control group; energy, positive well-being, and general well-being mean scores were found to be higher than those in the control group, and the difference was statistically significant (p < .05).

CONCLUSIONS

The Fatigue Self-Management Program effectively reduces the fatigue experienced by cancer patients and increases their well-being but it does not increase their independence in daily living activities.

CLINICAL TRIAL REGISTRY

NCT04822220.

Supportive Care Needs of Newly Diagnosed Cancer Patients in a Comprehensive Cancer Center: Identifying Care Profiles and Future Perspectives

The prompt introduction of supportive care for patients with cancer leads to a better quality of life, potential survival benefits, and improvements in treatment safety. Considering that patients' needs vary, descriptive assessments could serve as a compass for an efficient and prompt healthcare response. The aim of this study was to identify supportive care needs in newly diagnosed patients according to cancer type. A retrospective study was conducted by collecting data from the case consultation and medical records of a comprehensive cancer center in France. Patients' needs were divided into twelve domains: nutrition, psychological support, psychiatric support, social care, physiotherapy, addictology, pain management, palliative care, pharmacology, complementary and alternative practice (CAM), sexual health, and speech therapy. Out of 6217 newly diagnosed patients of various cancer types who sought medical care at Gustave Roussy in 2021, 2541 (41%) required supportive cancer care (SCC), and of them, 1331 patients (52%) required two or more different SCC specialist interventions. The top five interventions were dietary (for 60% of patients), physiotherapy (33%), psychology (29%), social care (28%), and pain management (16%). Subgroup analysis according to cancer department highlighted additional specific needs: CAM for breast cancer patients (11%), speech specialist (27%) and addictologist (22%) interventions for ENT patients, psychiatry consultations for neurological patients (16%), and palliative care for dermatology patients (23%). The aforementioned data suggest that an early, multidisciplinary supportive care intervention should be required. Assembling human resources at the time of diagnosis within a dedicated day unit would be the next appropriate step in developing personalized care pathways related to the highlighted needs.

SMART-ESAS: Smartphone Monitoring and Assessment in Real Time of Edmonton Symptom Assessment System Scores for Patients With Cancer

PURPOSE

Serial patient-reported outcome (PRO) measurements in clinical practice are associated with a better quality of life and survival. Recording electronic PROs using smartphones is an efficient way to implement this. We aimed to assess the feasibility of the electronically filled Edmonton Symptom Assessment System (e-ESAS) scale in the lower-middle-income country (LMIC) setting.

METHODS

Baseline clinical features and conventional paper-based ESAS (p-ESAS) were collected in newly diagnosed patients with solid organ tumors. Text message link was sent to these patients for filling e-ESAS. ESAS was categorized into physical, psychological, and total symptom domains. Scores were divided into none to mild (0-3) and moderate to severe (4-10). Intraclass correlation coefficients (ICCs) were used to determine the correlation between p-ESAS and e-ESAS. Multivariable logistic regression was used to identify independent factors affecting symptom burden.

RESULTS

Of 1,160 participants who filled out p-ESAS, 595 completed both e-ESAS and p-ESAS questionnaires and were included in the final analysis. Moderate to severe physical, psychological, and total symptom scores were seen in 39.8%, 40%, and 39% of participants. Tiredness and anxiety were the most common physical and psychological symptoms, respectively. ICCs between the p-ESAS and e-ESAS varied between 0.75 and 0.9. Total symptom scores were independently predicted by metastatic disease (odds ratio [OR], 1.83; 95% CI, 1.26 to 2.67; P = .001) and a higher level of education (OR, 0.42; 95% CI, 0.25 to 0.72; P = .001).

CONCLUSION

Paper-based and electronically filled ESASs have good intraobserver reliability across individual symptoms and domain scores in a representative cohort at a tertiary care institute in the LMIC. This may help us incorporate e-ESAS in routine clinical care in the real-world setting with financial, infrastructural, and manpower limitations.

Supportive care needs and related factors among colorectal cancer patients with stoma in the postoperative rehabilitation period from a bio-psycho-social perspective: a cross-sectional study

OBJECTIVE

This study investigated the biomedical, psychological, and social behavior factors for supportive care needs in colorectal cancer patients with a stoma, aiming to provide a theoretical basis for the development of targeted interventions.

METHODS

This cross-sectional study included 175 colorectal cancer patients with a stoma. A questionnaire was used to collect demographic and disease-related data on patients. The M.D. Anderson Symptom Inventory-Gastrointestinal Cancer (MDASI-GI), Hospital Anxiety and Depression Scale (HADS), and Perceived Social Support Scale (PSSS) were used to assess patients' symptom distress, anxiety and depression status, and social support, respectively. The Supportive Care Need Survey Short Form (SCNS-SF34) was used to evaluate supportive care needs.

RESULTS

The total score of supportive care needs of patients with colorectal cancer stoma was 87.75±17.34 points. The multivariate linear regression analysis results showed that younger age and a higher total score on symptom distress, depression, and anxiety were independent risk factors for supportive care needs.

CONCLUSIONS

Patients with colorectal cancer stoma with higher supportive care needs can be identified early from the bio-psycho-social perspective. Younger patients have more symptom distress, are depressed and anxious, have lower social support, and have higher supportive care needs. Closer monitoring of patients with symptom distress, early detection of depression and anxiety, and improving patients' social support can meet supportive care needs and improve patients' quality of life.

Supportive Care: The "Keystone" of Modern Oncology Practice

The Multinational Association of Supportive Care in Cancer (MASCC) defines supportive care as "the prevention and management of the adverse effects of cancer and its treatment. This includes management of physical and psychological symptoms and side effects across the continuum of the cancer journey from diagnosis through treatment to post-treatment care. Supportive care aims to improve the quality of rehabilitation, secondary cancer prevention, survivorship, and end-of-life care". This article will provide an overview of modern supportive care in cancer, discussing its definition, its relationship with palliative care, models of care, "core" service elements (multi-professional/multidisciplinary involvement), the evidence that supportive care improves morbidity, quality of life, and mortality in various groups of patients with cancer, and the health economic benefits of supportive care. The article will also discuss the current and future challenges to providing optimal supportive care to all oncology patients.

Symptom Burden and Shared Care Planning in an Oncology Nurse-Led Primary Palliative Care Intervention (CONNECT) for Patients with Advanced Cancer

Purpose: Primary palliative care (PPC) interventions are needed to address unmet symptom needs within standard oncology care. We designed an oncology nurse-led PPC intervention using shared care planning to facilitate patient engagement. This analysis examines the prevalence and severity of symptoms reported by patients and how symptoms were addressed on shared care plans (SCPs). Methods: Secondary analysis of a cluster randomized PPC intervention trial. Adult patients with metastatic solid tumors whose oncologist "would not be surprised if the patient died within a year" were included. Twenty-three oncology nurses received PPC training and conducted up to three monthly visits with patients. Symptom prevalence and severity were assessed before each visit using the Edmonton Symptom Assessment Scale (ESAS). Nurses collaboratively developed treatment strategies with patients, targeting the most bothersome symptoms for improvement. Results: Among 571 nurse-led PPC visits with 235 patients, the most prevalent and severe symptoms were tiredness (reported at 86% of visits; ESAS ≥4 in 55% of visits), low sense of wellbeing (78%; ESAS ≥4 in 38%), and poor appetite (69%; ESAS ≥4 in 42%). Moderately severe symptoms were addressed on SCPs ranging from 4% (drowsiness) to 35% (tiredness) of the time. Symptom management plans developed by PPC-trained oncology nurses primarily focused on nonpharmaceutical interventions (70%) compared with pharmaceutical interventions (30%). Conclusion: The symptoms that patients report most frequently and as most severe on SCPs were addressed less frequently than expected. Further research is needed to understand how PPC interventions can be designed to more effectively target and improve bothersome symptoms for patients with advanced cancer. Clinical Trial Registration: ClinicalTrials.gov identifier: NCT02712229.

The impact of early palliative care on the quality of life of patients with advanced pancreatic cancer: The IMPERATIVE case-crossover study

PURPOSE

Pancreatic cancer is a lethal disease. Many patients experience a heavy burden of cancer-associated symptoms and poor quality of life (QOL). Early palliative care alongside standard oncologic care results in improved QOL and survival in some cancer types. The benefit in advanced pancreatic cancer (APC) is not fully quantified.

METHODS

In this prospective case-crossover study, patients ≥ 18 years old with APC were recruited from ambulatory clinics at a tertiary cancer center. Patients underwent a palliative care consultation within 2 weeks of registration, with follow up visits every 2 weeks for the first month, then every 4 weeks until week 16, then as needed. The primary outcome was change in QOL between baseline (BL) and week 16, measured by Functional Assessment of Cancer Therapy - hepatobiliary (FACT-Hep). Secondary outcomes included symptom control (ESAS-r), depression, and anxiety (HADS, PHQ-9) at week 16.

RESULTS

Of 40 patients, 25 (63%) were male, 28 (70%) had metastatic disease, 31 (78%) had ECOG performance status 0-1, 31 (78%) received chemotherapy. Median age was 70. Mean FACT-hep score at BL was 118.8, compared to 125.7 at week 16 (mean change 6.89, [95%CI (-1.69-15.6); p = 0.11]). On multivariable analysis, metastatic disease (mean change 15.3 [95%CI (5.3-25.2); p = 0.004]) and age < 70 (mean change 12.9 [95%CI (0.5-25.4); p = 0.04]) were associated with improved QOL. Patients with metastatic disease had significant improvement in symptom burden (mean change -7.4 [95%CI (-13.4 to -1.4); p = 0.02]). There was no difference in depression or anxiety from BL to week 16.

CONCLUSION

Palliative care should be integrated early in the journey for patients with APC, as it can improve QOL and symptom burden.

TRIAL REGISTRATION

Clinicaltrials.gov identifier: NCT03837132.

Patient-Reported Symptom Burden and Supportive Care Needs of Patients With Stage II-III Colorectal Cancer During and After Adjuvant Systemic Treatment: A Real-World Evidence Study

PURPOSE

Patients with colorectal cancer (CRC) experience a range of physical and psychologic symptoms, and supportive care needs throughout the illness trajectory. We used patient-reported outcomes and administrative health data to describe symptom burden and supportive care needs during and after adjuvant treatment and determine factors associated with changes to symptom burden.

METHODS

A retrospective population-based cohort study of patients who were newly diagnosed with stage II-III CRC in Alberta, Canada, between January 1, 2016, and January 31, 2019. Adults age 18 years or older who completed a patient-reported outcomes survey (Edmonton Symptom Assessment System) and supportive care needs (Canadian Problem Checklist) within 3 months after starting adjuvant treatment (during treatment) and > 7 months after starting treatment (after treatment) were included. Changes to symptom severity were stratified as stable, improved, or deteriorated. Multivariable logistic regression was used to evaluate factors associated with these changes.

RESULTS

We included 303 patients (median age 60 years, 62% male, 84.5% stage III, 51.2% rectal v colon). Prevalent symptoms included tiredness (80.5%), pain (50.8%), and poor well-being (50%) during treatment, and tiredness (71.3%), pain (44.2%), and poor well-being (62.1%) after treatment. The results were heterogeneous with respect to improvements, stability, or deterioration. Pain worsened for 25% of the cohort, tiredness for 28%, and depression, anxiety, and well-being for 21%, 22%, and 31%, respectively. Deterioration of some symptoms was associated with older age, stage II, comorbidities, rural setting, and higher income.

CONCLUSION

We demonstrated symptom severity was generally low and most symptoms remained stable or improved after treatment. Particular groups of patients were at greater risk for more severe and/or more persistent symptoms. Ongoing assessments and interventions to address physical and psychologic symptoms, and supportive care needs in patients with CRC during and after treatment are needed.

Development and preliminary validation of Cancer-related Psychological Flexibility Questionnaire

The Cancer-related Psychological Flexibility Questionnaire (CPFQ) was developed and validated for assessing cancer patients' psychological flexibility, including attitudes and behavior toward cancer. In a systematic process, the CPFQ identified four factors through principal component analysis and confirmatory factor analysis: Cancer Acceptance, Cancer Avoidance, Activity Engagement, and Valued Action. The results of this study reveal that the CPFQ has a clear factor structure and good psychometric properties. The specific nature of cancer and the need for a specific measure of cancer patient psychological flexibility make this questionnaire valuable for research on psychological flexibility in cancer patients.

In the weeds: a retrospective study of patient interest in and experience with cannabis at a cancer center

BACKGROUND

Cannabis products, including the cannabinoids CBD and THC, are rising in popularity and increasingly used for medical purposes. While there is some evidence that cannabinoids improve cancer-associated symptoms, understanding regarding appropriate use remains incomplete.

PURPOSE

To describe patient experiences with medical cannabis with focus on use contexts and patients' reported benefits and harms.

METHODS

A standardized intake form was implemented in a dedicated medical cannabis clinic at an NCI-designated cancer center; data from this form was abstracted for all initial visits from October 2019 to October 2020. We report descriptive statistics, chi-square analysis, and multivariate logistic regression.

RESULTS

Among 163 unique new patients, cannabis therapy was commonly sought for sleep, pain, anxiety, and appetite. Twenty-nine percent expressed interest for cancer treatment; 40% and 46% reported past use of CBD and THC, respectively, for medical purposes. Among past CBD users, the most commonly reported benefits were less pain (21%) or anxiety (17%) and improvement in sleep (15%); 92% reported no side effects. Among those with past THC use, reported benefits included improvement in appetite (40%), sleep (32%), nausea (28%), and pain (17%); side effects included feeling "high." Seeking cannabis for anti-neoplastic effects was associated with receipt of active cancer treatment in both univariate and multivariate analysis.

CONCLUSION

Cancer patients seek medical cannabis to address a wide variety of concerns despite insufficient evidence of benefits and harms. As more states move to legalize medical and recreational cannabis, cancer care providers must remain aware of emerging data and develop knowledge and skills to counsel their patients about its use.

Examining the Development of Information Needs Assessment Questionnaires in Oncology: Protocol for a Scoping Review

BACKGROUND

Information needs are one of the most prevalent unmet supportive care needs of those living with cancer, including patients and their informal caregivers. Understanding how existing questionnaires for evaluating information needs have been developed is important for guiding appropriate use and informing future research. A literature review examining how information needs assessment questionnaires for use in the cancer context have been developed, with a specific focus on how questionnaire items have been identified, does not exist.

OBJECTIVE

This scoping review will examine how questionnaires for assessing the information needs of those living with cancer have been developed with special focus on how patients, informal caregivers, and health care professionals have been involved in the selection and identification of questionnaire items.

METHODS

This review will include published studies describing the development and validation of information needs assessment questionnaires for use in the oncology context. MEDLINE (Ovid), Embase (Ovid), CINAHL, Scopus, Web of Science, the Cochrane Database of Systematic Reviews, and PsycInfo will be searched. Articles published at any point up to the date of the search will be eligible for inclusion. One person will screen titles and abstracts, and 2 people will screen and extract data from full-text articles.

RESULTS

Results are expected to be available in early 2023. Summary tables and a narrative summary will be used to describe results.

CONCLUSIONS

This scoping review will assist in identifying appropriate information needs assessment tools to incorporate into clinical and research contexts in oncology. It will also identify if additional information needs assessment tools are needed.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/35639.

Systematic self-reporting of patients’ symptoms: improving oncologic care and patients’ satisfaction

Background:

In recent years, there has been a growing interest to enhance patients’ symptom management during routine cancer care using patient-reported outcome measures. The goal of this study is to analyse patients’ responses to the Edmonton Symptom Assessment System (ESAS) to determine whether patient-reported outcomes could help characterise those patients with the highest supportive care needs and symptom burden in order to help provide targeted support for patients.

Methods:

In this study, we analysed ESAS questionnaire responses completed by patients as part of their routine care and considered part of patients’ standard of care. Statistical analyses were performed using the IBM SPSS Statistics version 26.0. Descriptive statistics are used to summarise patient demographics, disease characteristics and patient-reported symptom severity and prevalence.

Results:

The overall mean age is 65.2 ± 12.8 years comprising 43.8% male and 56.2% female patients. The five common primary disease sites are breast (26.2%), haematology (21.1%), gastrointestinal (15.3%), genitourinary (12.7%) and lung (12.0%) cancers. The mean severity for each symptom is all mild (score: 1–3). The three most common reported symptoms causing distress are tiredness, poor overall wellbeing and anxiety, and the least reported symptom is nausea.

Conclusions:

Systematic self-reporting of patients’ symptoms is important to improve symptom management, timely facilitation of appropriate intervention, patient experience, and patient and family satisfaction. The awareness of disease site, gender and age-related symptom variations should help in the design and provision of appropriate symptom-directed, tumour-specific and patient-focused interventions to meet patients’ immediate needs.

Identifying and handling unbalanced baseline characteristics in a non-randomized, controlled, multicenter social care nurse intervention study for patients in advanced stages of cancer

Purpose

Given the psychosocial burdens patients in advanced stages of cancer face, innovative care concepts are needed. At the same time, such vulnerable patient groups are difficult to reach for participation in intervention studies and randomized patient inclusion may not be feasible. This article aims to identify systematic biases respectively selection effects occurring during the recruitment phase and to discuss their potential causes based on a non-randomized, multicenter intervention study with patients in advanced stages of cancer.

Methods

Patients diagnosed with at least one of 16 predefined cancers were recruited at four hospitals in three German cities. The effect of social care nurses’ continuous involvement in acute oncology wards was measured by health-related quality of life (EORTC QLQ-C30), information and participation preferences, decisional conflicts, doctor-patient communication, health literacy and symptom perception. Absolute standardized mean difference was calculated as a standardized effect size to test baseline characteristics balance between the intervention and control groups.

Results

The study enrolled 362 patients, 150 in the intervention and 212 in the control group. Except for gender, both groups differed in relevant socio-demographic characteristics, e.g. regarding age and educational background. With respect to the distribution of diagnoses, the intervention group showed a higher symptom burden than the control group. Moreover, the control group reported better quality of life at baseline compared to the intervention group (52.6 points (SD 21.7); 47.8 points (SD 22.0), ASMD = 0.218, p = 0.044).

Conclusion

Overall, the intervention group showed more social and health vulnerability than the control group. Among other factors, the wide range of diagnoses included and structural variation between the recruiting clinics increased the risk for bias. We recommend a close, continuous monitoring of relevant social and health-related characteristics during the recruitment phase as well as the use of appropriate statistical analysis strategies for adjustment, such as propensity score methods.

Trial registration: German Clinical Trials Register (DRKS-ID: DRKS00013640); registered on 29th December 2017.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09646-6.

Symptom clusters in chronic kidney disease and their association with people's ability to perform usual activities

Background

People living with a long-term condition, such as chronic kidney disease (CKD), often suffer from multiple symptoms simultaneously, making symptom management challenging. This study aimed to identify symptom clusters in adults with CKD across treatment groups and investigate their association with people’s ability to perform their usual activities.

Methods

We conducted a secondary analysis of both cross-sectional and longitudinal data collected as part of a national service improvement programme in 14 kidney centres in England, UK. This data included symptom severity (17 items, POS-S Renal) and the extent to which people had problems performing their usual activities (single item, EQ-5D-5L). We categorised data by treatment group: haemodialysis (n = 1,462), transplantation (n = 866), peritoneal dialysis (n = 127), or CKD without kidney replacement therapy (CKD non-KRT; n = 684). We used principal component analysis to identify symptom clusters per treatment group, and proportional odds models to assess the association between clusters and usual activities.

Results

Overall, clusters related to: lack of energy and mobility; gastrointestinal; skin; and mental health. Across groups, the ‘lack of energy and mobility’ clusters were associated with having problems with usual activities, with odds ratios (OR) ranging between 1.24 (95% confidence interval [CI], 1.21–1.57) for haemodialysis and 1.56 for peritoneal dialysis (95% CI, 1.28–1.90). This association was confirmed longitudinally in haemodialysis (n = 399) and transplant (n = 249) subgroups.

Implications

Our findings suggest that healthcare professionals should consider routinely assessing symptoms in the ‘lack of energy & mobility’ cluster in all people with CKD, regardless of whether they volunteer this information; not addressing these symptoms is likely to be related to them having problems with performing usual activities. Future studies should explore why symptoms within clusters commonly co-occur and how they interrelate. This will inform the development of cluster-level symptom management interventions with enhanced potential to improve outcomes for people with CKD.

Pre-Appointment Nurse Navigation: Patient-Centered Findings From a Survey of Patients With Breast Cancer

BACKGROUND

Research indicates that nurse navigators can play key roles in promoting empowerment for patients with cancer through advocacy, educational support, resource navigation, and psychosocial care.

OBJECTIVES

This study attempted to elucidate the efficacy of nurse navigation in patient knowledge, care coordination, and well-being before a breast oncology appointment.

METHODS

Staff provided a nine-question survey to 50 newly referred patients before their initial appointment. After survey completion, patients had the option to participate in an open-ended interview about their experience.

FINDINGS

A greater proportion of patients with initial nurse navigation than those without felt informed before their appointment and thought that their care was effectively coordinated. Although some patients without nurse navigation experienced delays and confusion in scheduling their appointment, no patients with nurse navigators reported such issues.

Symptom Burden of Patients with Advanced Pancreas Cancer (APC): A Provincial Cancer Institute Observational Study

Patients with advanced pancreatic cancer (APC) experience many disease-related symptoms. ESAS-r measures the severity of 9 symptom domains and has been validated for use in the ambulatory oncology setting. We aimed to describe symptom burden at baseline for patients with APC treated with modern chemotherapy (CT), and to determine whether symptom burden at baseline is prognostic. Patients diagnosed with APC between 2012-2016, treated with ≥1 cycle of CT, who completed ≥1 ESAS-r were identified. Descriptive statistics were used to report symptom burden and common moderate-to-severe symptoms. A joint model was used to describe the trajectory of ESAS-r during follow-up while controlling for death. Multivariable Cox regression was used to identify independent predictors of death. Of 123 patients identified, the median age was 65 and 61% had metastatic disease. The median baseline ESAS-r total symptom distress score (TSDS) was 24. A total of 86% of patients had at least one symptom score of ≥4 at baseline, with the most common being: fatigue, nausea, anxiety, and shortness of breath. Median overall survival was 10.2 months. Baseline TSDS was not predictive for worse survival in the era of modern CT. Patients with APC have a high burden of cancer-associated symptoms and a high prevalence of moderate-to-severe symptoms. Early intervention has the potential to improve quality of life in this group of patients and should be investigated.

Supportive care needs of patients living with an extremely rare and unpredictable cancer: The Epithelioid Haemangioendothelioma patient experience

OBJECTIVE

Epithelioid haemangioendothelioma (EHE) is an ultrarare vascular sarcoma with an incidence of <1/million/year and a large clinical heterogeneity. Data on supportive care needs of rare cancer patients are scarce. This study aimed to investigate the level of supportive care needs of EHE patients and its association with sociodemographic, clinical and symptom burden characteristics.

METHODS

We present secondary data of a cross-sectional questionnaire study involving EHE patients recruited from the international EHE Facebook group. Data were collected using the web-based PROFILES registry. Unmet needs were measured with Supportive Care Needs Survey Short Form (SCNS-SF34).

RESULTS

115 EHE patients from 20 countries completed the online questionnaire. Mean level of supportive care needs was 68.4 (range 34-170), with the highest mean score on the psychological domain. Supportive care needs were associated with age, disease stage, years since diagnosis and number of tumour locations. Highly symptomatic patients (33%) reported more supportive care needs than patients with low or intermediate symptom burden.

CONCLUSION

Supportive care needs were found in all domains, highest in the psychological domain, and were associated with sociodemographic, clinical and symptom burden characteristics. Adequate and tailored supportive care should be offered especially to highly symptomatic EHE patients.

Associations between baseline symptom burden as assessed by patient-reported outcomes and overall survival of patients with metastatic cancer

BACKGROUND

Serial symptom assessments using patient-reported outcomes may be challenging to implement in routine clinical practices. We aimed to determine if a single measurement of symptom burden at the time of metastatic diagnosis is associated with survival.

METHODS

We examined baseline patient-reported outcomes (within 90 days of diagnosis) of patients newly diagnosed with metastatic breast, lung, colorectal, or prostate cancer using the revised Edmonton Symptom Assessment System (ESASr) questionnaire. The ESASr was categorized into physical, psychological, and total symptom domains whereby scores were classified as none to mild (0-3) or moderate to severe (4-10). Multivariable Cox proportional hazards models were constructed to evaluate the effect of baseline symptom scores on overall survival.

RESULTS

We identified 1316 patients eligible for analysis. There were 181, 601, 240, and 294 patients with breast, lung, colorectal, and prostate cancer, respectively. Approximately one-quarter of all patients reported moderate to severe physical, psychological, and total symptom subscores. On multivariable Cox regression analysis, older age (P < 0.001), male sex (P = 0.002), primary lung cancer (P < 0.001), and smoking in the previous month (P = 0.007) were predictive of inferior overall survival as were baseline moderate to severe physical (hazard ratio, 1.49; 95% confidence interval, 1.16-1.90; P = 0.002) and total symptom subscores (hazard ratio, 1.38; 95% confidence interval, 1.06-1.81; P = 0.017).

CONCLUSIONS

A single assessment of baseline symptom burden using the ESASr in patients with metastatic cancer has significant prognostic value. This may represent a feasible first step towards routine collection of patient-reported outcomes in real-world settings where serial symptom measurements can be challenging to implement.