Artificial Intelligence in Healthcare: Advanced Evaluation of Medical Online Content. AI-driven Quality Assessment of YouTube Videos Providing Information on Incontinence After Cancer Surgery. (AMRR UOPhD)

December 12, 2024 updated by: Alvaro Manuel Rodriguez Rodriguez, University of Oviedo

Artificial Intelligence in Healthcare: Advanced Evaluation of Medical Online Content. Assessment of Health Knowledge and Related Educational Intervention.

The aim of the study is to analyse the quality of information that patients and relatives of different types of cancer receive through social networks on the subject of incontinence after cancer surgery.

Study Overview

Detailed Description

The primary goal of this study is to meticulously analyze and evaluate the overall quality of information that patients and their relatives obtain through social networks. The specific focus of the investigation lies in exploring the subject of incontinence after cancer surgery, encompassing a diverse range of cancer types. By closely examining the information disseminated across various social platforms, the researchers aim to shed light on the accuracy, reliability, and comprehensiveness of the information available. Ultimately, this study seeks to enhance our understanding of the information landscape surrounding post-cancer surgery incontinence, empowering patients and their relatives to make well-informed decisions regarding their healthcare.

Study Type

Observational

Enrollment (Actual)

160

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Asturias
      • Oviedo, Asturias, Spain, 33006
        • University of Oviedo

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

160 samples providing information about incontinence after cancer surgery.

Description

Inclusion Criteria:

  • Anyone providing information about incontinence after cancer surgery.
  • English language

Exclusion Criteria:

  • Non-english language
  • Duplicated
  • Related with advertisements
  • Nonrelated to incontinence

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Samples group
Samples collected regarding the online information about incontinence after cancer surgery.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Analisys of the information in social networks about incontinence after cancer surgery
Time Frame: 2023-2024
Analisys of the information in social networks about incontinence after cancer surgery
2023-2024

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Maria Blanco-Diaz, Prof. PhD., University of Oviedo

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 22, 2023

Primary Completion (Actual)

August 1, 2023

Study Completion (Actual)

November 1, 2023

Study Registration Dates

First Submitted

July 17, 2023

First Submitted That Met QC Criteria

July 17, 2023

First Posted (Actual)

July 27, 2023

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

December 12, 2024

Last Verified

December 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • AMRR UOPhD

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The individual participant data will be shared once the study has been completed in its entirety and always respecting the requirements of the Personal Data Protection Law.

IPD Sharing Time Frame

2024-2025

IPD Sharing Access Criteria

Via email with the Principal Researcher.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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