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NCT06893575Befejeződött

WhatsApp-Based Sleep Intervention in Heart Failure Patients

WhatSleeP-HF Trial: The Effect of a WhatsApp-Based Sleep Intervention on Sleep Quality in Heart Failure Patients, Based on the Transtheoretical Model: Two Center, Randomized Controlled Trial

Forrás: ClinicalTrials.gov · Utoljára frissítve: 2026. máj. 22.

Következő lépések

Rövid összefoglaló (regiszter, angolul)

Heart failure (HF) is a growing global health issue, with increasing prevalence among aging populations. In Turkey, the prevalence of HF was 2.114% in 2022, affecting approximately three million individuals. HF patients often experience poor sleep quality due to symptoms like dyspnea, fatigue, and fluid retention, which significantly impact their overall health and quality of life. Sleep disorders, particularly obstructive and central sleep apnea, are commonly reported among HF patients, exacerbating disease progression and increasing morbidity. Nurses play a crucial role in improving HF patients' self-care behaviors, including sleep hygiene interventions. Sleep hygiene consists of non-pharmacological strategies to improve sleep quality, such as maintaining a regular sleep schedule, avoiding electronic devices before bed, and minimizing caffeine and alcohol intake. However, behavior change in sleep hygiene requires structured intervention models, such as the Transtheoretical Model (TTM), which provides a stepwise approach to behavioral change, moving individuals through different stages from precontemplation to maintenance. TTM has been successfully applied in chronic disease management, including smoking cessation, diabetes self-care, hypertension control, and physical activity promotion. However, its application in HF patients, particularly for sleep interventions, remains underexplored. The limited existing studies suggest that HF patients often remain in the contemplation or preparation stages, indicating the need for tailored interventions to facilitate behavior change. Advancements in digital health have enabled home-based sleep monitoring through wearable devices and mobile applications. Smartwatches, such as the Mi Band, provide real-time data on sleep parameters, offering a non-invasive alternative to traditional clinical sleep studies. Additionally, WhatsApp-based interventions have gained attention in healthcare, proving effective in chronic disease management by enhancing patient education, treatment adherence, and remote monitoring. WhatsApp facilitates real-time communication between patients and healthcare providers, reducing hospital readmissions and improving self-care practices. This study proposes a WhatsApp-based, TTM-guided sleep intervention for HF patients to improve sleep quality and self-care behaviors. Unlike previous studies, which primarily focus on general self-care education, this project integrates TTM with a digital platform to support sustained behavior change. Participants will receive personalized sleep hygiene guidance through WhatsApp, with regular reminders and real-time support. Sleep quality will be assessed using the Pittsburgh Sleep Quality Index (PSQI) and Sleep Hygiene Index (SHI), alongside objective sleep parameters measured via smartwatches. The impact on quality of life (QoL) will be evaluated using the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Hypotheses H1. The WhatsApp-based, TTM-guided sleep health program will significantly improve subjective sleep quality in HF patients. H2. The WhatsApp-based, TTM-guided sleep health program will significantly improve sleep hygiene in HF patients. H3. The WhatsApp-based, TTM-guided sleep health program will significantly improve quality of life in HF patients. This project is the first study to integrate TTM-based behavior change strategies with a WhatsApp sleep intervention for HF patients. The findings will provide novel insights into digital health interventions for chronic disease management and offer a scalable, cost-effective approach to improving sleep hygiene in HF populations.

Állapot (regiszter)
Befejeződött
Vizsgálattípus
Beavatkozással járó
Résztvevők száma
28 (tényleges)
Első benyújtás
2025. márc. 18.
Kezdés
2025. febr. 27.
Elsődleges befejezés
2025. máj. 27.
Fő szponzor
Abant Izzet Baysal University
NCT-szám
NCT06893575

Mit vállalsz

  • Vizsgálat típusa: Beavatkozással járó
  • Bevont résztvevők: 28
  • 2025. febr. 27. és az elsődleges befejezés (2025. máj. 27.) között
  • 1 helyszín, 1 országban
  • Vizitek és vizsgálatok: kérdezd a vizsgálat csapatát, a regiszter nem sorolja fel őket

A(z) ClinicalTrials.gov regisztermezőiből összeállítva. A vizsgálat felépítését írja le.

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Korábbi kezelés

  • Patients currently using sleep medications or sleep-regulating treatments. Individuals undergoing antidepressant or similar drug therapy.

Más betegség

  • Presence of severe cognitive impairment (e.g., dementia, Alzheimer's disease) that may negatively affect the ability to use WhatsApp (Standardized Mini-Mental Test score < 25).

Egyéb

  • Patients with significant communication difficulties due to hearing or visual impairments or language barriers.

Kiket keres a vizsgálat

  • Confirmed heart failure (HF) diagnosis for at least one year by a physician with echocardiographic verification.
  • Echocardiographically confirmed left ventricular ejection fraction (LVEF) < 40%.
  • Individuals with poor sleep quality and experiencing sleep problems (PSQI score ≥ 5).
  • Not enrolled in any sleep improvement intervention program.
  • Possessing a device capable of using WhatsApp (smartphone, tablet, computer, etc.) and having the necessary technical proficiency.
  • Willingness to participate in the study

Életkor a regiszterben: 18 év – 74 év · Nem: nők és férfiak · Egészséges önkénteseket nem fogad

A teljes feltétellista: ClinicalTrials.gov

Helyszínek (1)

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HelyszínVárosOrszágHelyszín állapota
Izzet Baysal Training and Research HospitalBoluTörökországIsmeretlen állapot

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