MedPath

Effectiveness of an E-health Intervention in Patients With Obstructive Sleep Apnoea

Not Applicable
Recruiting
Conditions
Obstructive Sleep Apnea
Registration Number
NCT05380726
Lead Sponsor
Universitat de Lleida
Brief Summary

Obstructive sleep apnoea is a highly burdensome condition that not only impairs function but also confers a risk of cardiovascular disease. This is particularly evident among those who are poorly compliant with continuous positive airway pressure ventilation therapy. In the management of a chronic and frequent pathology such as OSA, it is necessary to have personalized programs that implement new technology-based tools to improve the comprehensive management of the patient in order to reduce the morbidity associated with this disease.

Detailed Description

Objectives: The purpose of this study is to evaluate the effectiveness of eHealth tools in managing obstructive sleep apnoea pathophysiological consequences and how they impact the quality of life after 3 months of intervention in adults.Qual: To identify OSA patients' beliefs concerning their condition and its treatment. Connection: To construct the information resources that the mobile application will offer using the QUAL results. Quan: Objective sleep parameters, Subjective sleep quality , Daytime sleepiness Physical activity habits, Quality of life related to health, Self-efficacy and empowerment, Anthropometry, Adherence to the program/treatment, Cost / benefit.

Design: Mixed-method sequential exploratory design with realist evaluation approach.

Population and sample: Patients referred to the sleep unit of the Arnau de Vilanova - Santa María Hospital for a suspected diagnosis of obstructive sleep apnoea. For the qualitative phase, the subjects will be contacted and invited to participate in a semi-structured personal interview related to the gaps and knowledge needs that these types of patients have about the pathology itself and its management. The quantitative phase will be a randomized controlled trial. Subjects will be randomly assigned using a simple random technique. The experimental group will receive an eHealth intervention through an electronic wristband device and access to the eHealth tool (phone application) that will offer specific recommendations on health, physical activity and hygienic-dietary advice. All these recommendations will be based on the information obtained in the qualitative phase and the parameters mesured by the electronic wristband device in real time. Those in the control group will receive the same electronic wristband device and the same access to the ehealth tool, but the information received will be based on the general hygienic-dietary measures that the sleep unit provides to all patients.

This research belongs to Moore4Medical project. It has received funding within the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union's H2020 Framework Programme (H2020/2014-2020) and National Authorities, under grant agreement H2020-ECSEL-2019-IA-876190.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
260
Inclusion Criteria
  • Moderate OSA (apnoea-hypoapnoea index (AHI)) of 15-30
  • Hypertension diagnosed by 24h-ABPM
  • Men and women aged ≥ 18 years
  • Spanish and/or Catalan can be read, written, and spoken
  • Currently residing in Lleida (Spain)
  • Own or have access to mobile phone (Android and IOS)
Exclusion Criteria
  • Previous diagnosis of OSA / use of CPAP
  • Pregnancy
  • Body mass index (BMI) below 17
  • Subjects undergoing bariatric intervention or on the waiting list for it
  • Not being able to fill out questionnaires
  • Incapacity to handle technology

Study & Design

Study Type
INTERVENTIONAL
Study Design
SEQUENTIAL
Primary Outcome Measures
NameTimeMethod
Blood pressurePre-post (after 3 months of intervention)

Blood pressure: Blood pressure changes after 3 months of intervention, measured with a holter blood pressure recorder (Spacelabs 90217A, Hertford: UK).

Secondary Outcome Measures
NameTimeMethod
Anthropometry measurements 2Pre-post (after 3 months of intervention)

Waist-to-hip ratio. The waist, and hip circumferences, measured in triplicate and averaged, will be taken into consideration.

Six-minute walk test (6MWT)Pre-post (after 3 months of intervention)

The 6MWT test evaluates the respiratory, cardiovascular, metabolic, musculoskeletal, and sensorineural responses to exercise. It is considered a useful tool for assessing the functional capacity of patients with chronic respiratory and/or cardiovascular diseases and is used to assess the submaximal level of functional performance at a similar level required for daily physical activities (55). 6MWT measures the maximum distance an individual is able to walk as fast as possible (not run) using their usual walking aids if any, and take their regular medications before the test, in 6 minutes. The patients can rest is allowed as required but the time is not stopped. The 6MWT is normally carried out in a corridor of 30 meters in length, on a hard and flat surface, and preferably indoors

Adherence to the program/treatmentPost intervention (after 3 months)

Scale of adherence and number of entries to the telephone application.

Cost-benefitPost intervention (after 3 months)

Comparison through the final costs of the current project and the studied costs of conservative treatment according to the research by Tarraubella et al. (2018)

PolysgraphyPre-post (after 3 months of intervention)

Twe will use respiratory polygraphy (Embletta, ResMed, Bella Vista, NSW, Australia) to assess the AHI, oxygen desaturation index (ODI, \>4%), minimum and mean oxygen saturation (SaO2), the average duration of events and percentage of time with SaO2 \<90%.

The Pittsburgh Sleep Quality Inventory (PSQI)Pre-post (after 3 months of intervention)

) is a 19-item list of items used to measure sleep quality and disturbances over the past month. As part of the PSQI, various sleep characteristics are measured, including sleep latency (i.e., the amount of time taken to fall asleep). On a scale of 0 to 3, each item is scored (0 = not during the past month; 1 = less than once a week; 2 = once or twice a week; and 3 = three or more times a week) (49). These scores are summed to generate an overall score. The higher the scores, the lower the quality of sleep. A score of more than five indicates poor sleep quality. With an alpha value of 0.83, the PSQI has demonstrated reliability in its internal consistency

Daytime sleepiness assessmentPre-post (after 3 months of intervention)

Subjective sleepiness will be assessed using the "Epworth Sleepiness Scale (ESS)" validated in Spanish. This is a questionnaire that contains eight items that indicate the probability of falling asleep during activities of daily living, ranging from 0 (never) to 3 (high probability). Normal values will be established between 2 and 10, with values greater than 10 indicating daytime sleepiness

Empowerment and motivation for changePre-post (after 3 months of intervention)

The Spanish version of the Health Empowerment Scale will be used to measure empowerment, while motivation will be measured using the Self-Efficacy Scale for Physical Activity

Health-related quality of lifePre-post (after 3 months of intervention)

This will be assessed using the EuroQol-5D (EQ-5D) questionnaire in its valid Spanish version

Anthropometry measurement 1Pre-post (after 3 months of intervention)

Body mass index (BMI) (kg / m 2). In order to calculate BMI, Weight (kg) and height (m) will be measured using a scale and a standard stadiometer.

Trial Locations

Locations (1)

Biomedical Research Institure of Lleida

🇪🇸

Lleida, Spain

Biomedical Research Institure of Lleida
🇪🇸Lleida, Spain
Oriol Martínez-Navarro
Sub Investigator
Fran Valenzuela-Pascual
Contact
fran.valenzuela@udl.cat
Fran Valenzuela-Pascual, PhD
Principal Investigator
Manuel Sánchez de la Torre, PhD
Sub Investigator
Esther Rubinat Arnaldo, PhD
Sub Investigator
Joan Blanco Blanco, PhD
Sub Investigator
María Masbernat-Almenara, PhD
Sub Investigator
Francesc Rubí Carnacea, PhD
Sub Investigator
Blanca Manuel Martí
Sub Investigator
Rabee Adel
Sub Investigator
Xisco Verdejo Amengual
Sub Investigator
Ferran Barbé Illa, PhD
Sub Investigator
Gerard Torres Cortada, PhD
Sub Investigator
Jordi de Batlle Garcia, PhD
Sub Investigator
Jessica Gonzalez Gutierrez
Sub Investigator

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.