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Generative AI-Supported Personalized Education Compared With Printed Material for Adults With Hypertension

The Effect of Generative Artificial Intelligence-Supported Personalized Education Compared With Printed Material on Hypertension Knowledge and Medication Adherence in Adults With Hypertension

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07776834
Acronym
GenAI-HYPER
Enrollment
88
Registered
2026-08-20
Start date
2026-06-01
Completion date
2026-12-20
Last updated
2026-08-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypertansion

Keywords

generative artificial intelligence, medication adherence, hypertansion, self efficacy, blood pressure

Brief summary

This study evaluates whether generative artificial intelligence-supported personalized education can improve hypertension knowledge and medication adherence in adults with hypertension compared with standard printed educational material. A total of 88 adults with hypertension are included in the study. Participants are assigned to either an intervention group or a control group. The control group receives a printed hypertension education booklet. The intervention group receives personalized educational content prepared using generative artificial intelligence based on individual characteristics and needs, together with weekly WhatsApp or SMS messages, voice messages, and brief telephone follow-up. The intervention lasts four weeks, and final assessments are performed in the fifth week. Hypertension knowledge, medication adherence self-efficacy, and blood pressure are assessed before and after the intervention. It is expected that personalized education will improve hypertension knowledge and medication adherence compared with printed education.

Interventions

BEHAVIORALStandard Hypertension Education

Participants receive standard hypertension education including medication-related information and a printed hypertension education booklet developed based on expert recommendations.

BEHAVIORALGenerative AI-Supported Personalized Hypertension Education

Participants receive personalized hypertension education generated using generative artificial intelligence based on individual characteristics, needs, baseline information, and standardized hypertension education content. The intervention is delivered over four weeks through weekly WhatsApp or SMS messages and voice messages. Brief structured telephone follow-up is provided in the first and fourth weeks.

Sponsors

Akdeniz University
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Intervention model description

Participants are assigned nonrandomly to two parallel groups in a 1:1 ratio. The control group receives standard printed hypertension education, while the intervention group receives generative artificial intelligence-supported personalized education in addition to the printed material. Both groups are assessed at baseline and again in the fifth week.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Voluntary agreement to participate in the study * Diagnosis of hypertension * Use of antihypertensive medication for at least 6 months * Medication adherence self-efficacy score of 26 or lower * Age 18 years or older * Ability to read and write in Turkish * General health status adequate for communication * Ability to read SMS messages and use WhatsApp

Exclusion criteria

* Withdrawal from the study after enrollment * Inability to be reached by telephone during the follow-up period

Design outcomes

Primary

MeasureTime frameDescription
Mean Change From Baseline in Medication Adherence Self-Efficacy Scale-Short Form (MASES-SF) Total Score at Week 5Baseline and Week 5Medication adherence self-efficacy will be assessed using the 13-item Medication Adherence Self-Efficacy Scale-Short Form (MASES-SF). Each item is scored from 1 (not at all sure) to 4 (very sure), resulting in a total score ranging from 13 to 52. Higher scores indicate greater self-efficacy for adhering to antihypertensive medication. The change in total score from baseline to Week 5 will be evaluated.
Mean Change From Baseline in Hypertension Knowledge-Level Scale (HK-LS) Total Score at Week 5Baseline and Week 5Hypertension knowledge will be assessed using the 22-item Hypertension Knowledge-Level Scale (HK-LS). The scale includes six domains: definition, medical treatment, medication adherence, lifestyle, diet, and complications. Responses are recorded as true, false, or do not know, and each correct response receives 1 point. Higher scores indicate greater hypertension knowledge, and a score of 16 or above indicates a high level of hypertension knowledge. The change in total score from baseline to Week 5 will be evaluated.

Secondary

MeasureTime frameDescription
Mean Change From Baseline in Systolic Blood Pressure at Week 5Baseline and Week 5Systolic blood pressure will be measured in mmHg at baseline and Week 5. The change in systolic blood pressure from baseline to Week 5 will be evaluated.
Mean Change From Baseline in Diastolic Blood Pressure at Week 5Baseline and Week 5Diastolic blood pressure will be measured in mmHg at baseline and Week 5. The change in diastolic blood pressure from baseline to Week 5 will be evaluated.

Countries

Turkey (Türkiye)

Contacts

PRINCIPAL_INVESTIGATORYasemin DEMİR AVCI, PhD

Akdeniz University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 21, 2026