A Randomized Controlled Trial of a Web-based Platform for Cancer Pain Management

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

PHASE2

Total Enrollment

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-11-10

Study Completion Date

2026-11-10

Brief Summary

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Malignant tumors are one of the major public health problems in China, and cancer pain is a common symptom in tumor patients, affecting the quality of life. In rural areas, cancer pain management is challenging due to insufficient medical resources and limitations in understanding cancer pain. Investigators plan to develop a convenient patient self-reporting applet to help participants report their symptoms to primary care physicians promptly and monitor pain levels and medication in real-time. This project aims to improve the efficiency of cancer pain management, integrate cancer pain into chronic disease management, improve the quality of healthcare services for rural participants, and promote the construction of a healthy China.

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Detailed Description

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Conditions

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Cancer Pain

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Study Groups

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Control group

The conventional treatment paradigm is in the current paradigm of standard antitumor cancer pain treatment and follow-up with no warning and no patient feedback.

Group Type NO_INTERVENTION

No interventions assigned to this group

Experimental group

We propose to develop a patient self-reporting applet that is easy to use and simple to operate. The program is embedded with questionnaires related to cancer pain and quality of life assessment, so that patients can fill out the questionnaires to report their symptoms and changes in their conditions to primary care doctors in a timely manner. At the same time, the background of the program will monitor the patient's indicators in real time. When the patient's pain reaches moderate-to-severe level, or when the patient experiences side effects of drugs, or when the patient's adherence to medication is poor, the primary care doctor can immediately receive relevant alerts through the app, so as to intervene in the patient's cancer pain treatment. When the patient has an "alarm value", primary care doctors can provide feedback to doctors in higher-level hospitals and implement comprehensive and standardized treatment for cancer pain patients.

Group Type EXPERIMENTAL

a patient self-reporting applet

Intervention Type BEHAVIORAL

We propose to develop a patient self-reporting applet that is easy to use and simple to operate. The program is embedded with questionnaires related to cancer pain and quality of life assessment, so that patients can fill out the questionnaires to report their symptoms and changes in their conditions to primary care doctors in a timely manner. At the same time, the background of the program will monitor the patient's indicators in real time. When the patient's pain reaches moderate-to-severe level, or when the patient experiences side effects of drugs, or when the patient's adherence to medication is poor, the primary care doctor can immediately receive relevant alerts through the app, so as to intervene in the patient's cancer pain treatment. When the patient has an "alarm value", primary care doctors can provide feedback to doctors in higher-level hospitals and implement comprehensive and standardized treatment for cancer pain patients.

Interventions

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a patient self-reporting applet

We propose to develop a patient self-reporting applet that is easy to use and simple to operate. The program is embedded with questionnaires related to cancer pain and quality of life assessment, so that patients can fill out the questionnaires to report their symptoms and changes in their conditions to primary care doctors in a timely manner. At the same time, the background of the program will monitor the patient's indicators in real time. When the patient's pain reaches moderate-to-severe level, or when the patient experiences side effects of drugs, or when the patient's adherence to medication is poor, the primary care doctor can immediately receive relevant alerts through the app, so as to intervene in the patient's cancer pain treatment. When the patient has an "alarm value", primary care doctors can provide feedback to doctors in higher-level hospitals and implement comprehensive and standardized treatment for cancer pain patients.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Patients with tumors that are confirmed by pathological findings.
* Presence of tumor-related pain that is moderate or higher and requires intervention with morphine-based pain medication (++).
* Have a life expectancy of more than 6 months.
* Understand and sign a consent to participate in the study, or if the patient is unable to understand the study, his/her direct caregiver must have a good understanding of the study.

Exclusion Criteria

* Presence of other chronic non-cancer pain/have an unresolved pain-related condition.
* Moderately severe cognitive impairment/cognitive impairment.
* Have schizophrenia or other psychiatric illness.
* Neither the patient nor his/her direct caregiver can understand how to use the Cancer Pain Management applet.
* Being pregnant.

Eligible Sex

ALL

Accepts Healthy Volunteers

No