NCT04820790

Brief Summary

The use of mobile technology has become part of the reality capable of changing the health services' paradigm. As a proof of that, nowadays, technology is seemed as a key tool in processes such as: data collection, epidemiological surveillance, health promotion, and disease prevention. Therefore, technological tools should be taken as an advantage to optimize the control or monitoring of patients with chronic diseases including those who require the use of home oxygen therapy. Objective: Determine the efficiency of a mobile application for clinical monitoring of patients who require home oxygen therapy. Methods A randomized-controlled clinical trial including individuals whose age is 18 years or older who have been diagnosed with Chronic Obstructive Pulmonary Disease (COPD) under treatment with home oxygen therapy. The sample will be divided in two groups: the intervention group will be made up of those who are followed up with the mobile app, and the control group will be made up of the patients who are followed up conventionally (regular visit of the respiratory caregiver). To measure the effect of the intervention, some outcomes variables will be taken as the recognition of self-management of dyspnea, number of exacerbations associated with oxygen therapy, and the frequency of underutilization of oxygen supplies.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
45

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Nov 2023

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 20, 2021

Completed
9 days until next milestone

First Posted

Study publicly available on registry

March 29, 2021

Completed
2.6 years until next milestone

Study Start

First participant enrolled

November 1, 2023

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 31, 2024

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

May 31, 2024

Completed
Last Updated

August 15, 2024

Status Verified

August 1, 2024

Enrollment Period

5 months

First QC Date

March 20, 2021

Last Update Submit

August 13, 2024

Conditions

Keywords

Oxygen-therapye-HealthMobile applications

Outcome Measures

Primary Outcomes (2)

  • Recognition of self-management of dyspnea and through the mobile app.

    The Borg scale is a visual analogue scale standardised and validated . It is quick and easy to apply, allowing a graphical evaluation of the subjective perception of respiratory distress by the same patient. It has been used since the 1970s and has a range from 0 to 10. The scale determines dyspnea intensity and has a written expression added to the number, which helps categorise dyspnea's sensation in the individual being tested. The result is recorded and encoded. The interval between the ranges of the scale increases progressively, and the number 10 shows the greatest perception of dyspnea. The maximum point indicates that the severity of the disease has increased even above 10.

    up to 12 weeks

  • Saint George questionnaire for the assessment of health-related quality of life

    It consists of 50 items divided into three scales: symptoms, activity, and impact. The items on the symptom scale refer to the frequency and severity of respiratory symptoms. The items on the activity scale assess the limitation of the activities due to dyspnea. In the impact scale, the psychological and social functional disorders produced by the disease are assessed. The items are formulated in two different ways: in the form of a question with five multiple choices/answers in which just one can be selected, and in the form of a sentence with two options: yes/no. The questionnaire is preferably self-administered, although it is also accepted through a personal interview. The average completion time is 10 minutes. The score is calculated for each of the questionnaire scales, and there is also an overall score. The range of all is from 0 (without altering the quality of life) until 100 (maximum alteration of life quality).

    up to 6 weeks

Other Outcomes (1)

  • Oxygen saturation

    up to 6 weeks

Study Arms (2)

Experimental Group 1

EXPERIMENTAL

The efficiency of the mobile app in the follow-up of patients with home oxygen will be evaluated during 3 months

Other: Mobile applications

Intervention Group 2:

NO INTERVENTION

Regular monitoring of the home oxygen without mobile app during 3 months

Interventions

Monitoring of patients with home oxygen through a mobile application

Also known as: App
Experimental Group 1

Eligibility Criteria

Age18 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Individuals of 18 years of age and older
  • Patient with PaO2 \<60 mmHg, SO2 \<89% and dyspnea. Patients with home oxygen therapy enrolled in-home care programs during the study period.
  • Time of evolution of the disease greater to one year
  • Patients who express their willingness to participate in the study through their informed consent.

You may not qualify if:

  • Patients with the following exceptional situations will be excluded from the study:
  • Patients with invasive and/or non-invasive mechanical ventilation
  • Patients with the inability to operate a mobile application or those who do not have a smartphone with an operating system (Android or iOS) and available data connection.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

TodoMed

Palmira, Valle del Cauca Department, 763531, Colombia

Location

Related Publications (19)

  • McCoy RW. Options for home oxygen therapy equipment: storage and metering of oxygen in the home. Respir Care. 2013 Jan;58(1):65-85. doi: 10.4187/respcare.01932.

  • Bott J, Blumenthal S, Buxton M, Ellum S, Falconer C, Garrod R, Harvey A, Hughes T, Lincoln M, Mikelsons C, Potter C, Pryor J, Rimington L, Sinfield F, Thompson C, Vaughn P, White J; British Thoracic Society Physiotherapy Guideline Development Group. Guidelines for the physiotherapy management of the adult, medical, spontaneously breathing patient. Thorax. 2009 May;64 Suppl 1:i1-51. doi: 10.1136/thx.2008.110726. No abstract available.

  • Rabe KF, Watz H. Chronic obstructive pulmonary disease. Lancet. 2017 May 13;389(10082):1931-1940. doi: 10.1016/S0140-6736(17)31222-9. Epub 2017 May 11.

  • Branson RD. Oxygen Therapy in COPD. Respir Care. 2018 Jun;63(6):734-748. doi: 10.4187/respcare.06312.

  • Mesquita CB, Knaut C, Caram LMO, Ferrari R, Bazan SGZ, Godoy I, Tanni SE. Impact of adherence to long-term oxygen therapy on patients with COPD and exertional hypoxemia followed for one year. J Bras Pneumol. 2018 Sep-Oct;44(5):390-397. doi: 10.1590/S1806-37562017000000019.

  • Oh H, Rizo C, Enkin M, Jadad A. What is eHealth (3): a systematic review of published definitions. J Med Internet Res. 2005 Feb 24;7(1):e1. doi: 10.2196/jmir.7.1.e1.

  • Mirkovic J, Kaufman DR, Ruland CM. Supporting cancer patients in illness management: usability evaluation of a mobile app. JMIR Mhealth Uhealth. 2014 Aug 13;2(3):e33. doi: 10.2196/mhealth.3359.

  • Hallensleben C, van Luenen S, Rolink E, Ossebaard HC, Chavannes NH. eHealth for people with COPD in the Netherlands: a scoping review. Int J Chron Obstruct Pulmon Dis. 2019 Jul 26;14:1681-1690. doi: 10.2147/COPD.S207187. eCollection 2019.

  • Gurbeta L, Badnjevic A, Maksimovic M, Omanovic-Miklicanin E, Sejdic E. A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease. J Am Med Inform Assoc. 2018 Sep 1;25(9):1213-1217. doi: 10.1093/jamia/ocy055.

  • Rassouli F, Boutellier D, Duss J, Huber S, Brutsche MH. Digitalizing multidisciplinary pulmonary rehabilitation in COPD with a smartphone application: an international observational pilot study. Int J Chron Obstruct Pulmon Dis. 2018 Nov 23;13:3831-3836. doi: 10.2147/COPD.S182880. eCollection 2018.

  • Bitsaki M, Koutras C, Koutras G, Leymann F, Steimle F, Wagner S, Wieland M. ChronicOnline: Implementing a mHealth solution for monitoring and early alerting in chronic obstructive pulmonary disease. Health Informatics J. 2017 Sep;23(3):197-207. doi: 10.1177/1460458216641480. Epub 2016 Apr 21.

  • Nguyen HQ, Donesky-Cuenco D, Wolpin S, Reinke LF, Benditt JO, Paul SM, Carrieri-Kohlman V. Randomized controlled trial of an internet-based versus face-to-face dyspnea self-management program for patients with chronic obstructive pulmonary disease: pilot study. J Med Internet Res. 2008 Apr 16;10(2):e9. doi: 10.2196/jmir.990.

  • Hernandez-Reyes A, Camara-Martos F, Molina Recio G, Molina-Luque R, Romero-Saldana M, Moreno Rojas R. Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2020 Feb 12;8(2):e13747. doi: 10.2196/13747.

  • Yang F, Wang Y, Yang C, Hu H, Xiong Z. Mobile health applications in self-management of patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis of their efficacy. BMC Pulm Med. 2018 Sep 4;18(1):147. doi: 10.1186/s12890-018-0671-z.

  • Scott IA, Scuffham P, Gupta D, Harch TM, Borchi J, Richards B. Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management. Aust Health Rev. 2020 Feb;44(1):62-82. doi: 10.1071/AH18064.

  • Early J, Gonzalez C, Gordon-Dseagu V, Robles-Calderon L. Use of Mobile Health (mHealth) Technologies and Interventions Among Community Health Workers Globally: A Scoping Review. Health Promot Pract. 2019 Nov;20(6):805-817. doi: 10.1177/1524839919855391. Epub 2019 Jun 10.

  • Naranjo-Rojas A, Perula-de Torres LA, Cruz-Mosquera FE, Molina-Recio G. Efficacy and Acceptability of a Mobile App for Monitoring the Clinical Status of Patients With Chronic Obstructive Pulmonary Disease Receiving Home Oxygen Therapy: Randomized Controlled Trial. J Med Internet Res. 2025 Jan 6;27:e65888. doi: 10.2196/65888.

  • Naranjo-Rojas A, Perula-de-Torres LA, Molina-Recio G. Patients, caregivers, and healthcare professionals' needs when designing the content of a mobile application for the clinical monitoring of patients with chronic obstructive pulmonary disease and home oxygen therapy: A user-centered design. Internet Interv. 2022 Jun 10;29:100552. doi: 10.1016/j.invent.2022.100552. eCollection 2022 Sep.

  • Naranjo-Rojas A, Perula-de-Torres LA, Cruz-Mosquera FE, Molina-Recio G. Mobile application for monitoring patients under home oxygen therapy: a protocol for a randomized controlled trial. BMC Fam Pract. 2021 May 26;22(1):104. doi: 10.1186/s12875-021-01450-8.

MeSH Terms

Interventions

Amyloid

Intervention Hierarchy (Ancestors)

Multiprotein ComplexesMacromolecular SubstancesProteinsAmino Acids, Peptides, and Proteins

Study Officials

  • Guillermo Molina Recio, PhD

    Universidad de Córdoba - España

    STUDY DIRECTOR
  • Luis A Pérula de torres, PhD

    Universidad de Córdoba - España

    STUDY DIRECTOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Respiratory therapist - Magister

Study Record Dates

First Submitted

March 20, 2021

First Posted

March 29, 2021

Study Start

November 1, 2023

Primary Completion

March 31, 2024

Study Completion

May 31, 2024

Last Updated

August 15, 2024

Record last verified: 2024-08

Data Sharing

IPD Sharing
Will not share

Locations