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Een zelfmonitoringsplatform voor het volgen van medicatieveiligheid en zorgen bij kankerpatiënten

5 november 2026 bijgewerkt door: University of Michigan Rogel Cancer Center

Betrokkenheid van patiënten bij het gebruik van de technologie voor zelfmonitoring van medicatieveiligheidsincidenten

This clinical trial evaluates the usefulness of a self-monitoring platform for tracking medication safety events and concerns in patients with lung, colorectal, breast, and prostate cancer. Patients receiving oral anticancer agents often encounter challenges in managing complex treatment regimens, potentially life-threatening toxicities, and drug-drug and drug-food interactions at home. To achieve the goal of medication safety, they need to become "vigilant partners" in medication and toxicity self-monitoring, including timely reporting of medication events to clinicians when their care transitions back home. In this study, patients use an online self-monitoring platform to track their experiences or concerns about taking their medications, including their experiences with symptoms. This platform may be a useful way for patients to track problems they have when taking their medications at home and may help them take better care of their health.

Studie Overzicht

Toestand

Actief, niet wervend

Conditie

Interventie / Behandeling

Studietype

Ingrijpend

Inschrijving (Geschat)

71

Fase

  • Niet toepasbaar

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studie Locaties

  • Verenigde Staten
    • Michigan
      • Ann Arbor, Michigan, Verenigde Staten, 48109
        • University of Michigan Comprehensive Cancer Center

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

18 jaar en ouder (Volwassen, Oudere volwassene)

Accepteert gezonde vrijwilligers

Nee

Geslachten die in aanmerking komen voor studie

Allemaal

Beschrijving

Inclusion Criteria:

  • Participants are adult patients (aged 18 years or older)
  • Diagnosed with lung, colorectal, breast, or prostate cancer
  • Are currently receiving active cancer treatments
  • Are self-managing one or more prescribed cancer medications
  • Participants must have access to technology devices (smartphone, tablet, computer) to track their experiences or concerns about medication safety events, or their family members can help them access technology devices to track the events or concerns
  • Speaks and reads English or has a support person (family member or friend) who can assist

Exclusion Criteria:

  • Can't access technology or do not use technology
  • Do not have access to the internet
  • Do not speak or read English
  • Not permitted to participate by their health care providers

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Onderzoek naar gezondheidsdiensten
  • Toewijzing: NVT
  • Interventioneel model: Opdracht voor een enkele groep
  • Masker: Geen (open label)

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Experimenteel: Health services research (self-monitoring platform)

Patients use the self-monitoring platform to track medication-related safety events and issues at home for 6 months. Patients may receive relevant educational materials and resources via the platform or by email and/or receive follow-up contact from a nurse practitioner as needed over the 6 months. Patients are encouraged to continue using the platform for an additional 6 months after the study period, as desired.
Ander: Survey Administration

Ancillary studies

Ander: Electronic Health Record Review

Ancillary studies

Ander: Interview

Ancillary studies

Ander: Educational Intervention

Receive educational materials and resources

Andere namen:
  • Onderwijs voor Interventie
  • Tussenkomst van het onderwijs
  • Interventie door middel van onderwijs
  • Interventie, educatief
Procedure: Follow-Up

Receive follow-up contact

Andere namen:
  • Actieve opvolging
  • Follow-up van klinische symptomen
  • CLSFUP
  • Opvolgen
  • opvolgen
  • Gevolgd
Ander: Internet-Based Intervention

Use self-monitoring platform

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Self-reported system usability
Tijdsspanne: Up to 6 months

Self-reported system usability will be assessed using the 10-item System Usability Scale. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Perceived usefulness
Tijdsspanne: Up to 6 months

Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 6 months
Ease of use
Tijdsspanne: Up to 6 months

Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 6 months
Attitudes toward use
Tijdsspanne: Up to 6 months

Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 6 months
Intention to use and continuous use of the system over time
Tijdsspanne: Up to 12 months

Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 12 months
Self-reported patient engagement
Tijdsspanne: Up to 6 months

Self-reported patient engagement will be measured by the 9-item Twente Engagement with Ehealth Technologies Scale (TWEETS), including three dimensions, behavioral engagement, cognitive engagement, and affective engagement. Will use the overall TWEETS score to evaluate patient engagement in this study, rather than analyzing each dimension separately. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables. Will use repeated measures analysis of variance to assess the changes in mean scores of patient engagement. Univariate associations between baseline personal and clinical factors and patient engagement at each time point will be assessed using correlation analyses (Pearson or Spearman), Chi-square tests, or non-parametric Mann-Whitney U tests, depending on the variable types. Multiple linear regressions will be conducted to assess associations between patient engagement and outcomes.
Up to 6 months
System usage over time
Tijdsspanne: Up to 12 months

Will be objectively recorded by the system logs and analyzed using Google Analytics (dashboard only), including parameters like the number of logins, number of tab pages clicked, number of events or concerns self-tracked, and more. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 12 months
Patient activation levels
Tijdsspanne: Up to 6 months

Patient activation levels will be measured by the Short Form of Patient Activation Measure. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Medication self-management ability
Tijdsspanne: Up to 6 months

Medication self-management ability will be measured by the Measure of Medication Self-Management. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Symptom distress
Tijdsspanne: Up to 6 months

Symptom distress will be measured by the 19-item MD Anderson Symptom Inventory. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Health related quality of life
Tijdsspanne: Up to 6 months

Health-related quality of life will be measured by the 27-item Functional Assessment of Cancer Therapy - General. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Number of emergency room visits
Tijdsspanne: Up to 12 months

Will be measured by both self-report and chart review. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 12 months
Number of hospitalizations
Tijdsspanne: Up to 12 months

Will be measured by both self-report and chart review. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 12 months
User experiences with the system
Tijdsspanne: Up to 6 months

Participants' user experiences with the system, such as perceived facilitators or barrios to system use, along with their suggestions for system improvement, will be collected through a brief individual interview. Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 6 months

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Self-tracked, structured medication safety events or concerns
Tijdsspanne: Up to 12 months

To understand the nature and causes of events and concerns, self-tracked, structured medication safety events or concerns tracking data from the system, such as the number and types of events or concerns self-tracked, will be summarized using descriptive statistics. The free-text tracking data from the system will be analyzed and summarized through content analysis or natural language processing techniques, depending on data volume.
Up to 12 months

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

University of Michigan Rogel Cancer Center

Medewerkers

Agency for Healthcare Research and Quality (AHRQ)

Onderzoekers

  • Hoofdonderzoeker: Yun Jiang, University of Michigan Rogel Cancer Center
  • Hoofdonderzoeker: Yang Gong, UTHealth Houston McWilliam School of Biomedical Informatics

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Werkelijk)

9 januari 2026

Primaire voltooiing (Geschat)

1 maart 2027

Studie voltooiing (Geschat)

1 maart 2027

Studieregistratiedata

Eerst ingediend

4 december 2025

Eerst ingediend dat voldeed aan de QC-criteria

4 december 2025

Eerst geplaatst (Werkelijk)

18 december 2025

Updates van studierecords

Laatste update geplaatst (Werkelijk)

9 november 2026

Laatste update ingediend die voldeed aan QC-criteria

5 november 2026

Laatst geverifieerd

1 november 2026

Meer informatie

Termen gerelateerd aan deze studie

Aanvullende relevante MeSH-voorwaarden

Andere studie-ID-nummers

  • UMCC 2025.050
  • NCI-2025-08754 (Register-ID: CTRP (Clinical Trial Reporting Program))
  • HUM00272763 (Andere identificatie: University of Michigan)
  • R01HS027846 (Amerikaanse AHRQ-subsidie/contract)

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

NEE

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

product vervaardigd in en geëxporteerd uit de V.S.

Nee

Deze informatie is zonder wijzigingen rechtstreeks van de website clinicaltrials.gov gehaald. Als u verzoeken heeft om uw onderzoeksgegevens te wijzigen, te verwijderen of bij te werken, neem dan contact op met register@clinicaltrials.gov. Zodra er een wijziging wordt doorgevoerd op clinicaltrials.gov, wordt deze ook automatisch bijgewerkt op onze website .

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