Testing a Prediction Algorithm Into a Running Telehealth System for Patients With COPD
NCT ID: NCT05218525
Last Updated: 2023-08-15
Study Results
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Basic Information
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COMPLETED
NA
138 participants
INTERVENTIONAL
2021-10-01
2022-11-30
Brief Summary
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Detailed Description
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This trial seeks to demonstrate that through telehealth, the implementation of a COPD prediction algorithm might have potential to support early detection of exacerbations. The COPD prediction algorithm might initiate timely treatment, which can potentially led to improvement in COPD patients' health and fewer hospitalizations. The primary outcome is the number of exacerbations defined as an all-cause acute hospitalization from baseline to follow-up in both groups. The trial hypothesizes that integrating a COPD prediction algorithm into the telehealth system will lead to a significantly lower number of exacerbations through early identification and timely preventive treatment. The primary outcome will be statistically analyzed, and the hypothesis will be tested between groups.
All participants are familiar with the telehealth system in advance. In addition to the participants' usual monitored measurements, they are asked to measure their oxygen saturation twice a week during the trial period.
The participants will receive the questionnaires; EuroQol-5D-5L, Short-Form 12 item, version 2 Health Survey, The European Health Literacy Survey Questionnaire, The Danish Test of Functional Health Literacy in Adults, Danish Telehealth Usability Questionnaire, and a questionnaire containing selected demographic characteristics at baseline and at 6-month follow-up.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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Intervention group
The specialized COPD community nurses, who are responsible for patients in the intervention group, will experience an extra alarm option in the telehealth system. The COPD prediction algorithm has been implemented by the Danish Company, OpenTeleHealth, into their commercially available telehealth system, Telekit, and thus, the COPD prediction algorithm is approved for clinical use as a part of the existing telehealth system´s CE marking (class I and IIa).
Algorithm
Participants in the intervention group will receive the general offer of the telehealth intervention including the telehealth system with the implemented COPD prediction algorithm. The participants are asked to measure their vital signs and respond to COPD related questions as usual. "As usual" refers to fixed days in the week, either Monday or Thursday, where the participants must measure their vital signs. In addition, the participants must weekly measure two oxygen saturation measurements drawn from the fingertip pulse oximeter.
Control group
The specialized COPD community nurses responsible for patients in the control group will only experience the usual alarms that are activated in the telehealth system, named Telekit, and are based on low or high values of vital signs. The specialized COPD community nurses are not instructed to act differently compared to how they act normally. This involves that the specialized COPD community nurses monitor as usual and respond to divergent data as usual.
The participants in the control group receive the usual practice, which includes the general offer of the telehealth intervention. The participants in the control group are instructed to do exactly the same procedures as the participants in the intervention group.
The specialized COPD community nurses, who are responsible for patients in the control group continue to monitor the participants as usual, but are informed that more oxygen saturation measurements will be present for the included participants.
No interventions assigned to this group
Interventions
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Algorithm
Participants in the intervention group will receive the general offer of the telehealth intervention including the telehealth system with the implemented COPD prediction algorithm. The participants are asked to measure their vital signs and respond to COPD related questions as usual. "As usual" refers to fixed days in the week, either Monday or Thursday, where the participants must measure their vital signs. In addition, the participants must weekly measure two oxygen saturation measurements drawn from the fingertip pulse oximeter.
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of COPD
* Fixed residence in Aalborg Municipality.
Exclusion Criteria
* Unable to complete study questionnaires
18 Years
ALL
No
Sponsors
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Aalborg University
OTHER
Responsible Party
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Ole K. Hejlesen
Professor
Principal Investigators
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Stine Hangaard, PhD
Role: PRINCIPAL_INVESTIGATOR
Aalborg University
Locations
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Aalborg University
Aalborg, , Denmark
Countries
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References
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Kronborg T, Mark L, Cichosz SL, Secher PH, Hejlesen O. Population exacerbation incidence contains predictive information of acute exacerbations in patients with chronic obstructive pulmonary disease in telecare. Int J Med Inform. 2018 Mar;111:72-76. doi: 10.1016/j.ijmedinf.2017.12.026. Epub 2017 Dec 29.
Udsen FW, Lilholt PH, Hejlesen O, Ehlers LH. Effectiveness and cost-effectiveness of telehealthcare for chronic obstructive pulmonary disease: study protocol for a cluster randomized controlled trial. Trials. 2014 May 21;15:178. doi: 10.1186/1745-6215-15-178.
Lilholt PH, Witt Udsen F, Ehlers L, Hejlesen OK. Telehealthcare for patients suffering from chronic obstructive pulmonary disease: effects on health-related quality of life: results from the Danish 'TeleCare North' cluster-randomised trial. BMJ Open. 2017 May 9;7(5):e014587. doi: 10.1136/bmjopen-2016-014587.
Lilholt PH, Haesum LK, Hejlesen OK. Exploring User Experience of a Telehealth System for the Danish TeleCare North Trial. Stud Health Technol Inform. 2015;210:301-5.
Witt Udsen F, Lilholt PH, Hejlesen O, Ehlers L. Cost-effectiveness of telehealthcare to patients with chronic obstructive pulmonary disease: results from the Danish 'TeleCare North' cluster-randomised trial. BMJ Open. 2017 May 17;7(5):e014616. doi: 10.1136/bmjopen-2016-014616.
Laursen SH, Haesum LKE, Egmose J, Kronborg T, Udsen FW, Hejlesen OK, Hangaard S. Implementation of an algorithm for predicting exacerbations in telemonitoring: A multimethod study of patients' and clinicians' experiences. Int J Nurs Stud Adv. 2024 Oct 22;7:100257. doi: 10.1016/j.ijnsa.2024.100257. eCollection 2024 Dec.
Secher PH, Hangaard S, Kronborg T, Haesum LKE, Udsen FW, Hejlesen O, Bender C. Clinical implementation of an algorithm for predicting exacerbations in patients with COPD in telemonitoring: a study protocol for a single-blinded randomized controlled trial. Trials. 2022 Apr 26;23(1):356. doi: 10.1186/s13063-022-06292-y.
Other Identifiers
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2020-068-01060
Identifier Type: -
Identifier Source: org_study_id
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