Comparing Clinician-Assessed and Patient-Reported Performance Status for Predicting Morbidity and Mortality in Patients With Advanced Cancer Receiving Chemotherapy

Enhancing Mobility and Well-Being in Older Adults with Cancer

OBJECTIVE

To analyze mobility challenges in older adult with cancer.

METHODS

Data from previous literature was extracted and analyzed pertaining to the topic of interest.

RESULTS

Mobility issues for the older adult with cancer are multi-factorial and are impacted by age-related changes, comorbidities, cancer itself, and cancer treatment.

CONCLUSIONS

Proven benefits have been suggested with mobility assessments, exercise and dietary interventions, and cancer rehabilitation programs however further research is needed to define integration and utilization of programs, facilitation of cancer survivors returning to work, inclusion of socially disadvantaged patients, program compliance, economic aspects, and caregiver involvement to improve quality of life across the cancer continuum.

IMPLICATIONS FOR NURSING PRACTICE

Oncology nurses are in a key role to impact the care of the older adult with cancer with mobility through patient assessment of mobility function, facilitation of patient referrals for supportive services and cancer rehabilitation and execution of nurse-led intervention programs.

How do patients interpret and respond to a novel patient-reported eastern cooperative oncology group performance status (ECOG)?

PURPOSE

Performance status is an important concept in oncology, but is typically clinician-reported. Efforts are underway to include patient-reported measures in cancer care, which may improve patient symptoms, quality of life and overall survival. The purpose of this study was to gain a preliminary understanding of how patients determined their physical performance status based on a novel patient-reported version of the Eastern Cooperative Oncology Group Performance Status (ECOG) scale.

METHODS

We conducted qualitative interviews, including concept elicitation and cognitive interviewing as part of the Patient Reports of Physical Functioning Study (PROPS) to investigate how participants selected their answers to a novel patient-reported ECOG. Participants were administered the patient-reported ECOG and asked to describe devices and modifications used to keep up with daily activities.

RESULTS

Participants generally understood the ECOG as intended. Participants with recent changes in status had some difficulty selecting an answer. Most participants used modifications and assistive devices in their daily lives but did not incorporate these into their rational for the ECOG.

CONCLUSION

The potential benefits of a patient-reported ECOG are numerous and this study demonstrates that participants were able to understand and answer the patient-reported ECOG as intended. We recommend future evaluation for the most-appropriate recall period, whether to include modifications in the ECOG instructions, and if increasing the number of response options to the patient-reported ECOG may improve confidence when providing an answer.

Prognostic Impact of Metabolic Syndrome and Steatotic Liver Disease in Hepatocellular Carcinoma Using Machine Learning Techniques

Metabolic dysfunction-associated steatotic liver disease (MASLD) currently represents the predominant cause of chronic liver disease and is closely linked to a significant increase in the risk of hepatocellular carcinoma (HCC), even in the absence of liver cirrhosis. In this retrospective multicenter study, machine learning (ML) methods were employed to investigate the relationship between metabolic profile and prognosis at diagnosis in a total of 219 HCC patients. The eXtreme Gradient Boosting (XGB) method demonstrated superiority in identifying mortality predictors in our patients. Etiology was the most determining prognostic factor followed by Barcelona Clinic Liver Cancer (BCLC) and Eastern Cooperative Oncology Group (ECOG) classifications. Variables related to the development of hepatic steatosis and metabolic syndrome, such as elevated levels of alkaline phosphatase (ALP), uric acid, obesity, alcohol consumption, and high blood pressure (HBP), had a significant impact on mortality prediction. This study underscores the importance of metabolic syndrome as a determining factor in the progression of HCC secondary to MASLD. The use of ML techniques provides an effective tool to improve risk stratification and individualized therapeutic management in these patients.

Remote Patient-Reported Outcomes and Activity Monitoring to Improve Patient-Clinician Communication Regarding Symptoms and Functional Status: A Randomized Controlled Trial

PURPOSE

Routine collection of patient-generated health data (PGHD) may promote earlier recognition of symptomatic and functional decline. This trial assessed the impact of an intervention integrating remote PGHD collection with patient nudges on symptom and functional status understanding between patients with advanced cancer and their oncology team.

METHODS

This three-arm randomized controlled trial was conducted from November 19, 2020, to December 17, 2021, at a large tertiary oncology practice. We enrolled patients with stage IV GI and lung cancers undergoing chemotherapy. Over 6 months, patients in two intervention arms received PROStep-weekly text message-based symptom surveys and passive activity monitoring using a wearable accelerometer. PGHD were summarized in dashboards given to patients' oncology team before appointments. One intervention arm received an additional text-based active choice prompt to discuss worsening symptoms or functional status with their clinician. Control patients did not receive PROStep. The coprimary outcomes patient perceptions of oncology team symptom and functional understanding at 6 months were measured on a 1-5 Likert scale (5 = high understanding).

RESULTS

One hundred eight patients enrolled: 55% male, 81% White, and 77% had GI cancers. Patient-reported clinician understanding did not differ between control and intervention arms for symptoms (4.5 v 4.5; P = .87) or functional status (4.5 v 4.3; P = .31). In the intervention arms, combined patient adherence to weekly symptom reports and daily activity monitoring was 64% and 53%, respectively. Intervention patients in the PROStep versus PROStep + active choice arms reported low burden from wearing the accelerometer (mean burden [standard deviation], 2.7 [1.3] v 2.1 [1.3]; P = .15) and completing surveys (2.1 [1.2] v 1.9 [1.3]; P = .44).

CONCLUSION

Patients receiving PROStep reported high understanding of symptoms and functional status from their oncology team, although this did not differ from controls.

A pilot project investigating the use of ONCOpatient®-An electronic patient-reported outcomes app for oncology patients

Purpose

To investigate the feasibility of implementing a remote patient monitoring system using an electronic patient-reported outcomes (ePROs) platform in a tertiary cancer center in the Republic of Ireland.

Methods

Patients receiving oral chemotherapy and oncology clinicians were invited to participate in the study. Patients were asked to submit weekly symptom questionnaires through an ePRO mobile phone application (app)-ONCOpatient®. Clinical staff were invited to use the ONCOpatient® clinician interface. After 8 weeks all participants submitted evaluation questionnaires.

Results

Thirteen patients and five staff were enrolled in the study. The majority of patients were female (85%) with a median age of 48 years (range 22-73). Most (92%) were enrolled over telephone requiring on average 16 minutes. Compliance with the weekly assessments was 91%. Alerts were triggered by 40% of patients who then required phone calls to aid with symptom management. At the end of study, 87% of patients reported they would use the app frequently, 75% reported that the platform met their expectations, and 25% that it exceeded their expectations. Similarly, 100% of staff reported they would use the app frequently, 60% reported that it met their expectations, and 40% that it exceeded their expectations.

Conclusions

Our pilot study showed that it is feasible to implement ePRO platforms in the Irish clinical setting. Small sample bias was recognized as a limitation, and we plan to confirm our findings on a larger cohort of patients. In the next phase we will integrate wearables including remote blood pressure monitoring.

Patient and clinician nudges to improve symptom management in advanced cancer using patient-generated health data: study protocol for the PROStep randomised controlled trial

INTRODUCTION

Patients with advanced cancers often face significant symptoms from their cancer and adverse effects from cancer-associated therapy. Patient-generated health data (PGHD) are routinely collected information about symptoms and activity levels that patients either directly report or passively record using devices such as wearable accelerometers. The objective of this study was to test the impact of an intervention integrating remote collection of PGHD with clinician and patient nudges to inform communication between patients with advanced cancer and their oncology team regarding symptom burden and functional status.

METHODS AND ANALYSIS

This single-centre prospective randomised controlled trial randomises patients with metastatic gastrointestinal or lung cancers into one of three arms: (A) usual care, (B) an intervention that integrates PGHD (including weekly text-based symptom surveys and passively recorded step counts) into a dashboard delivered to oncology clinicians at each visit and (C) the same intervention as arm B but with an additional text-based active choice intervention to patients to encourage discussing their symptoms with their oncology team. The study will enrol approximately 125 participants. The coprimary outcomes are patient perceptions of their oncology team's understanding of their symptoms and their functional status. Secondary outcomes are intervention utility and adherence.

ETHICS AND DISSEMINATION

This study has been approved by the institutional review board at the University of Pennsylvania. Study results will be disseminated using methods that describe the results in ways that key stakeholders can best understand and implement.

TRIAL REGISTRATION NUMBERS

NCT04616768 and 843 616.