- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07636681
Effect of Medication Adherence-Based Digital Intervention on Fatigue Severity, Weight, and Thyroid Hormone Regulation
June 3, 2026 updated by: Shahad Sabah Khudhair, University of Baghdad
Effect of Medication Adherence-Based Digital Intervention on Fatigue Severity, Weight, and Thyroid Hormone Regulation in Patients With Hypothyroidism: A Randomized Controlled Trial
- To evaluate the effect of a medication adherence-based digital intervention on fatigue severity in patients with hypothyroidism.
- To assess the effect of a medication adherence-based digital intervention on weight in patients with hypothyroidism.
- To investigate the effect of a medication adherence-based digital intervention on thyroid hormone regulation in patients with hypothyroidism.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
80
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Shahad Sabah Khudhair
- Phone Number: 9647737721360
- Email: shahed.sabbah1202a@conursing.uobaghdad.edu.iq
Study Locations
-
-
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Baghdad, Iraq
- University of Baghdad
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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
- Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Adults (≥18 years) with primary hypothyroidism.
- On stable levothyroxine therapy for at least 3 months.
- Able to read, understand study instructions
- capable of using basic mobile applications
- poor medication adherence, clinically significant fatigue, documented weight fluctuations and abnormal thyroid hormone
Exclusion Criteria:
- Secondary hypothyroidism or recent thyroidectomy/radioactive iodine therapy.
- Pregnancy or breastfeeding woman.
- Severe psychiatric disorders or cognitive impairment
- significant visual or hearing deficits
- Serious comorbidities affecting medication adherence (e.g., chronic disease, renal, or hepatic disease).
- take dietary supplements or medications that interfere with levothyroxine absorption.
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
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Control Group
receive routine care
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|
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Experimental: Intervention Group
participants in the intervention group will receive digital support aimed at improving their adherence to prescribed medications.
This support will include a smartphone application developed specifically for the study, as well as reminder messages via WhatsApp to prompt participants to take their levothyroxine at the scheduled times
|
participants in the intervention group will receive digital support aimed at improving their adherence to prescribed medications.
This support will include a smartphone application developed specifically for the study, as well as reminder messages via WhatsApp to prompt participants to take their levothyroxine at the scheduled times
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Fatigue Severity Score
Time Frame: Baseline and 3 months after intervention
|
Assessment of the effectiveness of a medication adherence-based digital intervention on fatigue severity by using the Fatigue Severity Scale (FSS).
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Baseline and 3 months after intervention
|
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Change in Body Weight
Time Frame: Baseline and 3 months after intervention.
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Assessment of the effectiveness of a medication adherence-based digital intervention on weight by assessment of changes in Body Mass Index (BMI), calculated as weight in kilograms divided by height in meters squared (kg/m²).
|
Baseline and 3 months after intervention.
|
|
Change in Thyroid Hormone Levels
Time Frame: Baseline and 3 months after intervention.
|
Assessment of the effectiveness of a medication adherence-based digital intervention on Thyroid Hormone Levels by assessment of serum Thyroid Stimulating Hormone (TSH) and Free Thyroxine (FT4) levels.
|
Baseline and 3 months after intervention.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
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 (Estimated)
June 1, 2026
Primary Completion (Estimated)
November 30, 2026
Study Completion (Estimated)
December 30, 2026
Study Registration Dates
First Submitted
May 21, 2026
First Submitted That Met QC Criteria
June 3, 2026
First Posted (Actual)
June 9, 2026
Study Record Updates
Last Update Posted (Actual)
June 9, 2026
Last Update Submitted That Met QC Criteria
June 3, 2026
Last Verified
May 1, 2026
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- MA-Based Digital Intervention
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
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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