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A Computer-Based System for Symptom Reporting in Patients With Cancer Undergoing Treatment

A Pilot Assessment of a Digital System for Cancer Patient Symptom Reporting

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03979846
Enrollment
20
Registered
2019-06-07
Start date
2019-03-11
Completion date
2019-05-29
Last updated
2025-05-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Caregiver, Malignant Neoplasm

Brief summary

This pilot trial studies the usability and usefulness of a computer-based system for reporting symptoms in patients with cancer undergoing treatment. Cancer patients undergoing cancer treatment are not always comfortable contacting the doctor when experiencing symptoms. A computer based platform, where patients can input symptoms, may seem less intrusive than a phone call and may improve patient access to care.

Detailed description

PRIMARY OBJECTIVES: I. To assess the usability and usefulness of a computer-based system for cancer patient symptom reporting. SECONDARY OBJECTIVES: I. To collect preliminary effectiveness data: quality of life outcomes with the Function Assessment of Cancer Therapy - General (FACT-G) and self-efficacy as measured by Chronic Disease Self-Efficacy Scale, Revised (CDSES-R). OUTLINE: Participants are randomized to 1 of 2 arms. ARM I: Participants receive usual care for 3 weeks, then use a computer-based symptom reporting system for 3 weeks. Caregivers may assist patients in the use of the computer based symptoms reporting system. ARM II: Participants use a computer-based symptom reporting system for 3 weeks, then receive usual care for 3 weeks. Caregivers may assist patients in the use of the computer based symptoms reporting system. After completing study intervention, participants are followed up for 30 days.

Interventions

OTHERBest Practice

Receive usual care

OTHERComputer Application

Use computer-based symptom reporting system

OTHERQuestionnaire Administration

Ancillary studies

OTHERQuality-of-Life Assessment

Ancillary studies

Sponsors

Thomas Jefferson University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* PATIENT: Active outpatient cancer treatment (chemotherapy, immunotherapy, radiation, and hormonal therapy) * PATIENT: No clinical evidence of cognitive or psychological impairment. * PATIENT: Home internet access on computer or phone. * CAREGIVER: Selected family member or close friend of the cancer patient matching the patient inclusion criteria outlined above.

Exclusion criteria

* Inability to provide informed consent.

Design outcomes

Primary

MeasureTime frameDescription
Usability of the computer-based symptom reporting system6 weeksAssessed with the System Usability Scale (SUS). The SUS is a 10-item 5-point Likert scale usability measure, scored from 0 (least usable) to 100 (most usable). The mean SUS scores (only during the active cancer treatment) will be computed with the corresponding 90% confidence intervals.
Patient-deemed usefulness of computer-based symptom reporting system6 weeksAssessed with the Perceived System Usefulness (PSU) scale. The mean PSU scores (only during the active cancer treatment) will be computed with the corresponding 90% confidence intervals.
Effectiveness of the computer-based symptom reporting system (FACT-G)6 weeksEvaluated using the quality of life outcome Functional Assessment of Cancer Therapy - General (FACT-G) scale. For the FACT-G, the 4 repeated measures (excluding the baseline) will be analyzed in linear mixed effects models with the random effect of user group (patient and caregiver) and fixed effect of period, sequence. The model will be used to compute the 90% confidence intervals for the mean FACT-G on usual care and on the digital system.
Effectiveness of the computer-based symptom reporting system (CDSES-R)6 weeksEvaluated using the self-efficacy Chronic Disease Self-Efficacy Scale, Revised (CDSES-R) scale. For the CDSES-R, the 4 repeated measures (excluding the baseline) will be analyzed in linear mixed effects models with the random effect of user group (patient and caregiver) and fixed effect of period, sequence. The model will be used to compute the 90% confidence intervals for the mean CDSES-R on usual care and on the digital system.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026