Web-based Tailored Information and Support for Patients With a Neuroendocrine Tumor: a Randomized Pilot Study
NCT ID: NCT01849523
Last Updated: 2024-05-06
Study Results
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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COMPLETED
NA
20 participants
INTERVENTIONAL
2013-10-31
2014-08-31
Brief Summary
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Objective To detect whether a web-based tailored information and support system improves patients' perception and satisfaction of received information. The investigators hypothesize that after having received web-based tailored information and support patients feel more informed and are more satisfied with the received information than when receiving standard care.
Study design The present study is a randomized prospective longitudinal experimental multicenter pilot study. In this study, we want to examine the effect sizes on the perception and satisfaction by the patient of received information (primary objective) and secondary objectives after having used web-based tailored information and support. Eligible are newly diagnosed NET-patients (N=40) (diagnosed less than 3 months ago). Patients will be asked to fill out questionnaires at baseline and after 12 weeks, on socio-demographic features (only at baseline), internet use (only at baseline), health care use, patients' perception and satisfaction of received information, distress, quality of life and empowerment (only after 12 weeks).
Study population Patients diagnosed with a NET (any type of NET, any phase of disease) who are under treatment at the Department of Medical Oncology in the University Medical Center Groningen or Hospital Medisch Spectrum; twenty will be invited to participate in the study.
Intervention During 12 subsequent weeks, a personalized website (with a surname/password) will become available to patients in the experimental group beside the usual standard care. Key features of the website are self-screening, tailored patient education and self-referral. Self-screening will be performed by an online version of the Dutch Distress thermometer (DT) and Problem List (PL). Patients will receive automated feedback on their DT score immediately after test completion together with information regarding problems reported on the PL, options for (self)-help and possibilities for referral to professional care. Contact information will also be available to discuss questions, problems and/or referral needs. Patients may also request a telephone call.
Main study endpoint The primary endpoint is to detect an improvement in patients' perception and satisfaction of received information after having received web-based tailored information and support.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
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Web-based information and support
Web-based tailored information and support
Web-based information and support
Standard care
Standard care
No interventions assigned to this group
Interventions
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Web-based information and support
Eligibility Criteria
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Inclusion Criteria
* Ability to comprehend Dutch (both reading and writing).
* Informed consent provided.
Exclusion Criteria
* Patients with a second primary tumor for which active follow-up or treatment.
18 Years
ALL
No
Sponsors
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University Medical Center Groningen
OTHER
Responsible Party
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Principal Investigators
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A.M.E. Walenkamp, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University Medical Center Groningen
Locations
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Medical Spectrum Twente
Enschede, , Netherlands
University Medical Center Groningen
Groningen, , Netherlands
Countries
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References
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Bouma G, de Hosson LD, van Woerkom CE, van Essen H, de Bock GH, Admiraal JM, Reyners AKL, Walenkamp AME. Web-based information and support for patients with a newly diagnosed neuroendocrine tumor: a feasibility study. Support Care Cancer. 2017 Jul;25(7):2075-2083. doi: 10.1007/s00520-017-3598-7. Epub 2017 Feb 9.
Other Identifiers
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NL43834.042.13
Identifier Type: OTHER
Identifier Source: secondary_id
Pilot WIN-2013
Identifier Type: -
Identifier Source: org_study_id
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