Patient experiences of an electronic PRO tailored feedback system for symptom management following upper gastrointestinal cancer surgery

Real-time symptom monitoring using electronic patient-reported outcomes: A prospective study protocol to improve safety during care transitions for patients with multiple chronic conditions

INTRODUCTION

Adverse events (AEs) during transitions from hospitals to ambulatory settings occur in 19%-28% of cases, posing a significant threat to patient safety. Early screening for worrisome symptoms and deterioration in overall health is critical for older adult patients with multiple chronic conditions (MCCs). Clinically integrated apps that remotely monitor symptoms and collect patient-reported outcomes (PROs) can predict AEs when combined with electronic health record (EHR) data. This innovative intervention may enable more timely detection, escalation, and mitigation of harm from AEs for patients with MCCs during transitions.

METHODS

This remote monitoring intervention leverages evidence-based frameworks for care transitions and health technologies. We will develop and validate a prediction model of postdischarge AEs using validated symptoms, PRO questionnaires, and EHR data. Existing digital infrastructure will be adapted to facilitate remote monitoring. We will employ a user-centered approach to identify patient and clinician requirements to guide the design and development of our intervention. Interoperable data exchange standards and application programming interfaces will be utilized to integrate the intervention with vendor EHRs and patient portals. A randomized controlled trial will be conducted to compare the effect of our intervention versus usual care on postdischarge AEs in MCC patients transitioning from the hospital. A mixed-methods evaluation will be performed to generate best practices for disseminating this intervention at institutions with different EHRs.

DISCUSSION

A patient-centric, digitally enabled surveillance strategy that monitors symptoms and electronic PROs, educates patients about risks, and ensures communication with clinicians has the potential to transform care for patients with MCCs during transitions.

Effectiveness of ePRO-based symptom management for cancer patients: a systematic review and meta-analysis of randomized controlled studies

PURPOSE

To systematically synthesize the evidence on the effectiveness of electronic patient-reported outcome (ePRO)-based symptom management on readmission rate, quality of life, symptom burden, anxiety, depression, and mortality in adult cancer patients.

METHOD

A systematic review and meta-analysis were conducted according to the PRISMA guideline in PubMed, Web of Science, EMBASE, the Cochrane Library, CINAHL, and Scopus for studies of randomized controlled trials reporting ePRO-based symptom management from January 1st, 2018, to May 31st, 2023. Two reviewers independently assessed risk-of-bias using Cochrane Risk-of-Bias version 2 and extracted the data. Subgroup analysis was conducted to identify the source of heterogeneity. Sensitivity analysis was performed by using the leave-one-out method. The study protocol was registered on the International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY) (DOI: https://doi.org/10.37766/inplasy2023.6.0010 ).

RESULTS

A total of 10 studies were included in our review, comprising a total of 5321 participants. The results showed ePRO-based symptom management can improve quality of life (QOL) (SMD = 4.42, 95% CI 0.14 to 8.69, P = 0.04) in cancer patients. No significant differences in the impact on the improvement of readmission rate (RR = 0.89, 95% CI 0.77 to 1.04, P = 0.15), symptom burden (SMD = 1.23, 95% CI - 1.34 to 3.79, P = 0.35), anxiety (SMD =  - 0.00, 95% CI - 0.34 to 0.34, P = 0.99), depression (SMD = 0.03, 95% CI - 0.17 to 0.24, P = 0.74), and mortality (RR = 0.59, 95% CI 0.19 to 1.83, P = 0.36) between the two groups. In the subgroup analysis, readmission rates more than 30 days were significantly lower in the intervention group compared to the control group (relative rate (RR) = 0.85, 95% CI 0.72 to 0.99, P = 0.03). Also, the intervention group's QOL significantly improved compared to the control group when assessed within 1 month after the intervention (SMD = 4.35, 95% CI 3.75 to 4.94, P < 0.00001). In the sensitivity analysis, it was found that the results for readmission rates and quality of life (QOL) were unstable, indicating that further research is needed in the future.

CONCLUSION

Cancer patients often have different symptoms. Symptom management in cancer patients is an emerging topic. However, due to the limited numbers of included studies, the long-term effect of ePRO-based symptom management still needed to be validated.

REGISTRATION DETAILS

inplasy (DOI: https://doi.org/10.37766/inplasy2023.6.0010 ).

Patient and clinician perspectives of an eHealth intervention for supporting cancer treatment in the UK: mixed methods evaluation of the eRAPID randomised controlled trial

OBJECTIVES

During 2015-2018, a randomised controlled trial (RCT) evaluated eRAPID, an eHealth intervention designed to capture patient-reported symptoms online during cancer treatment. eRAPID provides patients with advice on when to self-manage or seek medical support. Clinicians accessed symptom reports within electronic patient records. 508 participants starting systemic cancer treatment were recruited and followed for 18 weeks. The intervention group (n=256) was asked to access eRAPID and complete weekly online symptom reports. Clinicians received training on accessing and interpreting symptom reports. Overall, eRAPID had a positive impact on patients' symptoms, quality of life and self-efficacy, particularly early in treatment and for patients with early-stage disease. Using mixed methods, we aimed to gather insight from patients and clinicians on how eRAPID worked to facilitate the interpretation of RCT findings.

METHODS

Following a concurrent triangulation design, patient experiences of eRAPID were gathered via end-of-study interviews (n=45) and questionnaires (n=186). Clinician experiences were obtained by end-of-study interviews (n=18) and completion, throughout the trial, of feedback questionnaires (n=787 from n=55 clinicians). Framework analysis was applied to examine qualitative data and close-ended questions were descriptively summarised. Findings were mapped against results from the RCT.

SETTING

Medical oncology services, UK cancer centre.

RESULTS

Patient feedback indicated eRAPID was easy to use. Adherence to weekly reporting was influenced by health status, reminders, perceived value and clinical use. Patient-reported benefits of eRAPID included an enhanced connection with the hospital, provision of practical advice and personal monitoring, which provided reassurance and empowerment. Clinicians were positive about the potential for online symptom monitoring but had mixed levels of direct experience with using eRAPID during the trial. Patients echoed this and recommended more explicit clinician use of symptom data.

CONCLUSIONS

The mixed-method approach to capturing patient and clinician opinions provided valuable insight into the eRAPID intervention and complementary information on how the intervention was received and functioned.

Experiences of Patients With Cancer Using Electronic Symptom Management Systems: Qualitative Systematic Review and Meta-Synthesis

BACKGROUND

There are numerous symptoms related to cancer and its treatments that can affect the psychosomatic health and quality of life of patients with cancer. The use of electronic symptom management systems (ESMSs) can help patients with cancer monitor and manage their symptoms effectively, improving their health-related outcomes. However, patients' adhesion to ESMSs decreases over time, and little is known about their real experiences with them. Therefore, it is necessary to gain a deep understanding of patients' experiences with ESMSs.

OBJECTIVE

The purpose of this systematic review was to synthesize qualitative studies on the experiences of patients with cancer using ESMSs.

METHODS

A total of 12 electronic databases, including PubMed, Web of Science, Cochrane Library, EBSCOhost, Embase, PsycINFO, ProQuest, Scopus, Wanfang database, CNKI, CBM, and VIP, were searched to collect relevant studies from the earliest available record until January 2, 2024. Qualitative and mixed methods studies published in English or Chinese were included. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement checklist) and the ENTREQ (Enhancing Transparency in Reporting the Synthesis of Qualitative Research) statement were used to improve transparency in reporting the synthesis of the qualitative research. The Critical Appraisal Skills Program (CASP) checklist was used to appraise the methodological quality of the included studies, and a meta-synthesis was conducted to interpret and synthesize the findings.

RESULTS

A total of 21 studies were included in the meta-synthesis. The experiences of patients with cancer using ESMSs were summarized into three major categories: (1) perceptions and attitudes toward ESMSs; (2) the value of ESMSs; and (3) barriers, requirements, and suggestions for ESMSs. Subsequently, 10 subcategories emerged from the 3 major categories. The meta-synthesis revealed that patients with cancer had both positive and negative experiences with ESMSs. In general, patients recognized the value of ESMSs in symptom assessment and management and were willing to use them, but they still encountered barriers and wanted them to be improved.

CONCLUSIONS

This systematic review provides implications for developing future ESMSs that improve health-related outcomes for patients with cancer. Future research should focus on strengthening electronic equipment and technical support for ESMSs, improving their functional contents and participation forms, and developing personalized applications tailored to the specific needs and characteristics of patients with cancer.

TRIAL REGISTRATION

PROSPERO CRD42023421730; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=421730.

Remote Symptom Monitoring with Clinical Alerts Following Mastectomy: Do Early Symptoms Predict 30-Day Surgical Complications

BACKGROUND

Electronic patient-reported outcome measures (ePROMs) for real-time remote symptom monitoring facilitate early recognition of postoperative complications. We sought to determine whether remote, electronic, patient-reported symptom-monitoring with Recovery Tracker predicts 30-day readmission or reoperation in outpatient mastectomy patients.

METHODS

We conducted a retrospective review of breast cancer patients who underwent outpatient (< 24-h stay) mastectomy with or without reconstruction from April 2017 to January 2022 and who received the Recovery Tracker on Days 1-10 postoperatively. Of 5,130 patients, 3,888 met the inclusion criteria (2,880 mastectomy with immediate reconstruction and 1,008 mastectomy only). We focused on symptoms concerning for surgical complications and assessed if symptoms reaching prespecified alert levels-prompting a nursing call-predicted risk of 30-day readmission or reoperation.

RESULTS

Daily Recovery Tracker response rates ranged from 45% to 70%. Overall, 1,461 of 3,888 patients (38%) triggered at least one alert. Most red (urgent) alerts were triggered by pain and fever; most yellow (less urgent) alerts were triggered by wound redness and pain severity. The 30-day readmission and reoperation rates were low at 3.8% and 2.4%, respectively. There was no statistically significant association between symptom alerts and 30-day reoperation or readmission, and a clinically relevant increase in risk can be excluded (odds ratio 1.08; 95% confidence interval 0.8-1.46; p = 0.6).

CONCLUSIONS

Breast cancer patients undergoing mastectomy with or without reconstruction in the ambulatory setting have a low burden of concerning symptoms, even in the first few days after surgery. Patients can be reassured that symptoms that do present resolve quickly thereafter.

Assessing Patient-Reported Outcomes in Routine Cancer Clinical Care Using Electronic Administration and Telehealth Technologies: Realist Synthesis of Potential Mechanisms for Improving Health Outcomes

BACKGROUND

The routine measurement of patient-reported outcomes in cancer clinical care using electronic patient-reported outcome measures (ePROMs) is gaining momentum worldwide. However, a deep understanding of the mechanisms underpinning ePROM interventions that could inform their optimal design to improve health outcomes is needed.

OBJECTIVE

This study aims to identify the implicit mechanisms that underpin the effectiveness of ePROM interventions and develop program theories about how and when ePROM interventions improve health outcomes.

METHODS

A realist synthesis of the literature about ePROM interventions in cancer clinical care was performed. A conceptual framework of ePROM interventions was constructed to define the scope of the review and frame the initial program theories. Literature searches of Ovid MEDLINE, Ovid Embase, Scopus, and CINAHL, supplemented by citation tracking, were performed to identify relevant literature to develop, refine, and test program theories. Quality appraisal of relevant studies was performed using the Mixed Methods Appraisal Tool.

RESULTS

Overall, 61 studies were included in the realist synthesis: 15 (25%) mixed methods studies, 9 (15%) qualitative studies, 13 (21%) descriptive studies, 21 (34%) randomized controlled trials, and 3 (5%) quasi-experimental studies. In total, 3 initial program theories were developed regarding the salient components of ePROM interventions-remote self-reporting, real-time feedback to clinicians, and clinician-patient telecommunication. The refined theories posit that remote self-reporting enables patients to recognize and report symptoms accurately and empowers them to communicate these to clinicians, real-time feedback prompts clinicians to manage symptoms proactively, and clinician-patient telephone interactions and e-interactions between clinic encounters improve symptom management by reshaping how clinicians and patients communicate. However, the intervention may not achieve the intended benefit if ePROMs become a reminder to patients of their illness and are not meaningful to them and when real-time feedback to clinicians lacks relevance and increases the workload.

CONCLUSIONS

The key to improving health outcomes through ePROM interventions is enabling better symptom reporting and communication through remote symptom self-reporting, promoting proactive management of symptoms through real-time clinician feedback, and facilitating clinician-patient interactions. Patient engagement with self-reporting and clinician engagement in responding to feedback are vital and may reinforce each other in improving outcomes. Effective ePROM interventions might fundamentally alter how clinicians and patients interact between clinic encounters.

Feasibility of a Text Messaging-Integrated and Chatbot-Interfaced Self-Management Program for Symptom Control in Patients With Gastrointestinal Cancer Undergoing Chemotherapy: Pilot Mixed Methods Study

BACKGROUND

Outpatient chemotherapy often leaves patients to grapple with a range of complex side effects at home. Leveraging tailored evidence-based content to monitor and manage these symptoms remains an untapped potential among patients with gastrointestinal (GI) cancer.

OBJECTIVE

This study aims to bridge the gap in outpatient chemotherapy care by integrating a cutting-edge text messaging system with a chatbot interface. This approach seeks to enable real-time monitoring and proactive management of side effects in patients with GI cancer undergoing intravenous chemotherapy.

METHODS

Real-Time Chemotherapy-Associated Side Effects Monitoring Supportive System (RT-CAMSS) was developed iteratively, incorporating patient-centered inputs and evidence-based information. It synthesizes chemotherapy knowledge, self-care symptom management skills, emotional support, and healthy lifestyle recommendations. In a single-arm 2-month pilot study, patients with GI cancer undergoing chemotherapy received tailored intervention messages thrice a week and a weekly Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events-based symptom assessment via a chatbot interface. Baseline and postintervention patient surveys and interviews were conducted.

RESULTS

Out of 45 eligible patients, 34 were enrolled (76% consent rate). The mean age was 61 (SD 12) years, with 19 (56%) being females and 21 (62%) non-Hispanic White. The most common cancer type was pancreatic (n=18, 53%), followed by colon (n=12, 35%) and stomach (n=4, 12%). In total, 27 (79% retention rate) participants completed the postintervention follow-up. In total, 20 patients texted back at least once to seek additional information, with the keyword "chemo" or "support" texted the most. Among those who used the chatbot system checker, fatigue emerged as the most frequently reported symptom (n=15), followed by neuropathy (n=7). Adjusted for multiple comparisons, patients engaging with the platform exhibited significantly improved Patient Activation Measure (3.70, 95% CI -6.919 to -0.499; P=.02). Postintervention interviews and satisfaction surveys revealed that participants found the intervention was user-friendly and were provided with valuable information.

CONCLUSIONS

Capitalizing on mobile technology communication holds tremendous scalability for enhancing health care services. This study presents initial evidence of the engagement and acceptability of RT-CAMSS, warranting further evaluation in a controlled clinical trial setting.

Electronic self-reporting of adverse events for patients undergoing cancer treatment: the eRAPID research programme including two RCTs

Background

Cancer is treated using multiple modalities (e.g. surgery, radiotherapy and systemic therapies) and is frequently associated with adverse events that affect treatment delivery and quality of life. Regular adverse event reporting could improve care and safety through timely detection and management. Information technology provides a feasible monitoring model, but applied research is needed. This research programme developed and evaluated an electronic system, called eRAPID, for cancer patients to remotely self-report adverse events.

Objectives

The objectives were to address the following research questions: is it feasible to collect adverse event data from patients’ homes and in clinics during cancer treatment? Can eRAPID be implemented in different hospitals and treatment settings? Will oncology health-care professionals review eRAPID reports for decision-making? When added to usual care, will the eRAPID intervention (i.e. self-reporting with tailored advice) lead to clinical benefits (e.g. better adverse event control, improved patient safety and experiences)? Will eRAPID be cost-effective?

Design

Five mixed-methods work packages were conducted, incorporating co-design with patients and health-care professionals: work package 1 – development and implementation of the electronic platform across hospital centres; work package 2 – development of patient-reported adverse event items and advice (systematic and scoping reviews, patient interviews, Delphi exercise); work package 3 – mapping health-care professionals and care pathways; work package 4 – feasibility pilot studies to assess patient and clinician acceptability; and work package 5 – a single-centre randomised controlled trial of systemic treatment with a full health economic assessment.

Setting

The setting was three UK cancer centres (in Leeds, Manchester and Bristol).

Participants

The intervention was developed and evaluated with patients and clinicians. The systemic randomised controlled trial included 508 participants who were starting treatment for breast, colorectal or gynaecological cancer and 55 health-care professionals. The radiotherapy feasibility pilot recruited 167 patients undergoing treatment for pelvic cancers. The surgical feasibility pilot included 40 gastrointestinal cancer patients.

Intervention

eRAPID is an online system that allows patients to complete adverse event/symptom reports from home or hospital. The system provides immediate severity-graded advice based on clinical algorithms to guide self-management or hospital contact. Adverse event data are transferred to electronic patient records for review by clinical teams. Patients complete an online symptom report every week and whenever they experience symptoms.

Main outcome measures

In systemic treatment, the primary outcome was Functional Assessment of Cancer Therapy – General, Physical Well-Being score assessed at 6, 12 and 18 weeks (primary end point). Secondary outcomes included cost-effectiveness assessed through the comparison of health-care costs and quality-adjusted life-years. Patient self-efficacy was measured (using the Self-Efficacy for Managing Chronic Diseases 6-item Scale). The radiotherapy pilot studied feasibility (recruitment and attrition rates) and selection of outcome measures. The surgical pilot examined symptom report completeness, system actions, barriers to using eRAPID and technical performance.

Results

eRAPID was successfully developed and introduced across the treatments and centres. The systemic randomised controlled trial found no statistically significant effect of eRAPID on the primary end point at 18 weeks. There was a significant effect at 6 weeks (adjusted difference least square means 1.08, 95% confidence interval 0.12 to 2.05; p = 0.028) and 12 weeks (adjusted difference least square means 1.01, 95% confidence interval 0.05 to 1.98; p = 0.0395). No between-arm differences were found for admissions or calls/visits to acute oncology or chemotherapy delivery. Health economic analyses over 18 weeks indicated no statistically significant difference between the cost of the eRAPID information technology system and the cost of usual care (£12.28, 95% confidence interval –£1240.91 to £1167.69; p > 0.05). Mean differences were small, with eRAPID having a 55% probability of being cost-effective at the National Institute for Health and Care Excellence-recommended cost-effectiveness threshold of £20,000 per quality-adjusted life-year gained. Patient self-efficacy was greater in the intervention arm (0.48, 95% confidence interval 0.13 to 0.83; p = 0.0073). Qualitative interviews indicated that many participants found eRAPID useful for support and guidance. Patient adherence to adverse-event symptom reporting was good (median compliance 72.2%). In the radiotherapy pilot, high levels of consent (73.2%) and low attrition rates (10%) were observed. Patient quality-of-life outcomes indicated a potential intervention benefit in chemoradiotherapy arms. In the surgical pilot, 40 out of 91 approached patients (44%) consented. Symptom report completion rates were high. Across the studies, clinician intervention engagement was varied. Both patient and staff feedback on the value of eRAPID was positive.

Limitations

The randomised controlled trial methodology led to small numbers of patients simultaneously using the intervention, thus reducing overall clinician exposure to and engagement with eRAPID. Furthermore, staff saw patients across both arms, introducing a contamination bias and potentially reducing the intervention effect. The health economic results were limited by numbers of missing data (e.g. for use of resources and EuroQol-5 Dimensions).

Conclusions

This research provides evidence that online symptom monitoring with inbuilt patient advice is acceptable to patients and clinical teams. Evidence of patient benefit was found, particularly during the early phases of treatment and in relation to self-efficacy. The findings will help improve the intervention and guide future trial designs.

Future work

Definitive trials in radiotherapy and surgical settings are suggested. Future research during systemic treatments could study self-report online interventions to replace elements of traditional follow-up care in the curative setting. Further research during modern targeted treatments (e.g. immunotherapy and small-molecule oral therapy) and in metastatic disease is recommended.

Trial registration

The systemic randomised controlled trial is registered as ISRCTN88520246. The radiotherapy trial is registered as ClinicalTrials.gov NCT02747264.

Funding

This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 10, No. 1. See the NIHR Journals Library website for further project information.