Symptom Care at Home: A Comprehensive and Pragmatic PRO System Approach to Improve Cancer Symptom Care

INTRODUCTION

There is growing recognition that systematically obtaining the patient's perspective on their health experience, using patient-reported outcomes (PRO), can be used to improve patient care in real time. Few PRO systems are designed to monitor and provide symptom management support between visits. Patients are instructed to contact providers between visits with their concerns, but they rarely do, leaving patients to cope with symptoms alone at home. We developed and tested an automated system, Symptom Care at Home (SCH), to address this gap in tracking and responding to PRO data in-between clinic visits. The purpose of this paper is to describe SCH as an example of a comprehensive PRO system that addresses unmet need for symptom support outside the clinic.

METHODS FOR PRO SCORE INTERPRETATION

SCH uses pragmatic, single-item measures for assessing symptoms, which are commonly used and readily interpretable for both patients and providers. We established alerting values for PRO symptom data, which was particularly important for conserving oncology providers' time in responding to daily PRO data.

METHODS FOR DEVELOPING RECOMMENDATIONS FOR ACTING ON PRO RESULTS

The SCH system provides automated, just-in-time self-management coaching tailored to the specific symptom pattern and severity levels reported in the daily call. In addition, the SCH system includes a provider decision support system for follow-up symptom assessment and intervention strategies.

DISCUSSION

SCH provides PRO monitoring, tailored automated self-management coaching, and alerts the oncology team of poorly controlled symptoms with a provider dashboard that includes evidence-based decision support for follow-up to improve individual patients' symptom care. We particularly emphasize our process for PRO selection, rationale for determining alerting thresholds, and the design of the provider dashboard and decision support. Currently, we are in the process of updating the SCH system, developing both web-based and app versions in addition to interactive voice response phone access and integrating the SCH system in the electronic health record.

What symptoms are important to patients? Developing a symptom burden measure for women with breast cancer

PURPOSE

The American Cancer Society predicted that 266,120 women would be diagnosed with breast cancer in 2018. Women experience significant symptom burden in response to tumor and treatment-related adverse effects, particularly in advanced disease. Use of valid and reliable patient-reported outcomes (PRO) symptom measures may assist clinicians in systematically monitoring and managing symptoms. The MD Anderson Symptom Inventory (MDASI) is a brief PRO measure of cancer symptom burden; specific symptoms can be added to the core symptoms to produce disease- and treatment-specific modules. The purpose of this study was to describe the patient symptom experience, define the content domain, and generate items for a breast cancer-specific MDASI module for measuring symptom burden in women with breast cancer.

METHODS

Women with breast cancer were qualitatively interviewed about their experiences of disease and treatment. Descriptive exploratory analysis identified symptoms and symptom interference to define the symptom burden of breast cancer. An expert panel rated the relevance of the identified symptoms to patients with breast cancer.

RESULTS

A conceptual model of breast cancer symptom burden was developed from interviews with 36 women (mean age of 57.9 years, 86.1% had stages I-III, and 52.8% were on chemotherapy and/or radiation therapy) across the breast cancer disease and treatment trajectory. Thirty-six symptoms and 6 interference categories were identified. Symptoms specific to treatment modalities and breast cancer met the criteria for inclusion in the provisional instrument for psychometric testing.

CONCLUSIONS

We generated an instrument with content validity for measuring symptom burden specific to women with breast cancer.

Psychosocial outcomes of an electronic self-report assessment and self-care intervention for patients with cancer: a randomized controlled trial

BACKGROUND

The use of Web-based technology to facilitate self-care and communication with health care providers has the potential to improve psychosocial outcomes for patients undergoing cancer treatment. This study reports an analysis of psychosocial outcomes of the electronic self-report assessment for cancer study.

METHODS

Adult patients starting cancer therapy were randomized to receive usual education about symptoms and quality of life topics (control) or usual education plus self-care instruction for symptoms and quality of life issues, communication coaching, and the opportunity to track symptoms and quality of life between clinic visits (intervention). Depression (Patient Health Questionnaire-9) and social, emotional, and role functioning (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 subscales) were measured before treatment (T1), 3 to 6 weeks after starting treatment (T2), 2 weeks later (T3), and 2 to 4 weeks after treatment ended or at the next restaging visit for participants who continued to receive treatment (T4). Clinicians received summaries of participant reports at each time point in both groups.

RESULTS

In multivariable analysis, the depression scores were significantly lower (P = .04) and there was a trend to higher social and role functioning (P = .07) in the intervention group compared with the control. Working status was significantly associated with lower depression and better social and role functioning.

CONCLUSIONS

A patient-centered, Web-based intervention that facilitates self-care and communication can improve psychosocial outcomes in the cancer setting.

Exposure to a patient-centered, Web-based intervention for managing cancer symptom and quality of life issues: impact on symptom distress

Background

Effective eHealth interventions can benefit a large number of patients with content intended to support self-care and management of both chronic and acute conditions. Even though usage statistics are easily logged in most eHealth interventions, usage or exposure has rarely been reported in trials, let alone studied in relationship to effectiveness.

Objective

The intent of the study was to evaluate use of a fully automated, Web-based program, the Electronic Self Report Assessment-Cancer (ESRA-C), and how delivery and total use of the intervention may have affected cancer symptom distress.

Methods

Patients at two cancer centers used ESRA-C to self-report symptom and quality of life (SxQOL) issues during therapy. Participants were randomized to ESRA-C assessment only (control) or the ESRA-C intervention delivered via the Internet to patients’ homes or to a tablet at the clinic. The intervention enabled participants to self-monitor SxQOL and receive self-care education and customized coaching on how to report concerns to clinicians. Overall and voluntary intervention use were defined as having ≥2 exposures, and one non-prompted exposure to the intervention, respectively. Factors associated with intervention use were explored with Fisher’s exact test. Propensity score matching was used to select a sample of control participants similar to intervention participants who used the intervention. Analysis of covariance (ANCOVA) was used to compare change in Symptom Distress Scale (SDS-15) scores from pre-treatment to end-of-study by groups in the matched sample.

Results

Radiation oncology participants used the intervention, overall and voluntarily, more than medical oncology and transplant participants. Participants who were working and had more than a high school education voluntarily used the intervention more. The SDS-15 score was reduced by an estimated 1.53 points (P=.01) in the intervention group users compared to the matched control group.

Conclusions

The intended effects of a Web-based, patient-centered intervention on cancer symptom distress were modified by intervention use frequency. Clinical and personal demographics influenced voluntary use.

Trial Registration

Clinicaltrials.gov NCT00852852; http://clinicaltrials.gov/ct2/show/NCT00852852 (Archived by WebCite at http://www.webcitation.org/6YwAfwWl7).