Impact of Telemonitoring With Exacerbation Prediction Algorithm Versus Telemonitoring Alone on Hospitalizations and Health-Related Quality of Life in Patients With COPD

<b>Background:</b> Unreported and untreated exacerbations of COPD have significant negative impacts on health status, disease progression, rate of hospitalization, and readmission. The present study investigated whether a COPD exacerbation prediction algorithm embedded into a telemonitoring system can reduce the number of hospitalizations and improve health-related quality of life (HRQOL) compared with telemonitoring alone. <b>Methods:</b> A total of 137 participants were enrolled in this single-blinded randomized controlled trial. Patients were eligible for inclusion if they had a COPD diagnosis, were adults, had fixed residence in Aalborg Municipality in Denmark, and already used an existing telemonitoring system. The primary outcome was the between-group difference in the number of acute hospitalizations per subject after 6 months of follow-up. Secondary outcomes included the difference in all-cause hospitalization, HRQOL measured by 12-item Short Form Health Survey (version 2) and EuroQol-5 Dimension Questionnaire (EQ-5D-5L), and mortality after 6 months. Data were analyzed according to the intention-to-treat principle. <b>Results:</b> The adjusted incidence rate ratio (IRR) of acute hospitalizations per subject was 1.30 (95% CI 0.50-3.38). The odds ratio (OR) for the hospitalization proportion was 2.10 (95% CI: 0.72-6.09). The adjusted IRR for the number of all-cause hospitalizations were 1.25 (95% CI: 0.51-3.07), whereas the OR for an all-cause hospitalization proportion was 1.92 (95% CI: 0.70-5.26). The adjusted OR for mortality was 0.46 (95% CI: 0.11-1.94). The adjusted mean difference in the physical component score and mental component score was 0.77 (95% CI: -1.72 to 3.47) and 0.91 (95% CI: -2.63 to 4.72), respectively, and -0.05 (95% CI: -0.14 to 0.03) for the EQ-5D index score. All results were nonstatistically significant. <b>Conclusions:</b> No definitive conclusions could be drawn regarding the effect on hospitalizations and HRQOL when implementing a COPD prediction algorithm in addition to telemonitoring.

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Publication Details

Journal
Respiratory Care
Published
2025-04-12
DOI
https://doi.org/10.1089/respcare.12611
Citations
4
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
6.07
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article

Impact of Telemonitoring With Exacerbation Prediction Algorithm Versus Telemonitoring Alone on Hospitalizations and Health-Related Quality of Life in Patients With COPD

Pernille Heyckendorff Secher, Lisa Korsbakke Emtekær Hæsum, Ole Hejlesen, Thomas Kronborg et al.
4 citations
Respiratory Care
Chronic Obstructive Pulmonary Disease (COPD) Research
6.07
article

Impact of Telemonitoring With Exacerbation Prediction Algorithm Versus Telemonitoring Alone on Hospitalizations and Health-Related Quality of Life in Patients With COPD

Pernille Heyckendorff Secher, Lisa Korsbakke Emtekær Hæsum, Ole Hejlesen, Thomas Kronborg, Sisse Heiden Laursen, Clara Bender, Julie Egmose, Stine Hangaard, Flemming Witt Udsen
article en
4 citations

Abstract

<b>Background:</b> Unreported and untreated exacerbations of COPD have significant negative impacts on health status, disease progression, rate of hospitalization, and readmission. The present study investigated whether a COPD exacerbation prediction algorithm embedded into a telemonitoring system can reduce the number of hospitalizations and improve health-related quality of life (HRQOL) compared with telemonitoring alone. <b>Methods:</b> A total of 137 participants were enrolled in this single-blinded randomized controlled trial. Patients were eligible for inclusion if they had a COPD diagnosis, were adults, had fixed residence in Aalborg Municipality in Denmark, and already used an existing telemonitoring system. The primary outcome was the between-group difference in the number of acute hospitalizations per subject after 6 months of follow-up. Secondary outcomes included the difference in all-cause hospitalization, HRQOL measured by 12-item Short Form Health Survey (version 2) and EuroQol-5 Dimension Questionnaire (EQ-5D-5L), and mortality after 6 months. Data were analyzed according to the intention-to-treat principle. <b>Results:</b> The adjusted incidence rate ratio (IRR) of acute hospitalizations per subject was 1.30 (95% CI 0.50-3.38). The odds ratio (OR) for the hospitalization proportion was 2.10 (95% CI: 0.72-6.09). The adjusted IRR for the number of all-cause hospitalizations were 1.25 (95% CI: 0.51-3.07), whereas the OR for an all-cause hospitalization proportion was 1.92 (95% CI: 0.70-5.26). The adjusted OR for mortality was 0.46 (95% CI: 0.11-1.94). The adjusted mean difference in the physical component score and mental component score was 0.77 (95% CI: -1.72 to 3.47) and 0.91 (95% CI: -2.63 to 4.72), respectively, and -0.05 (95% CI: -0.14 to 0.03) for the EQ-5D index score. All results were nonstatistically significant. <b>Conclusions:</b> No definitive conclusions could be drawn regarding the effect on hospitalizations and HRQOL when implementing a COPD prediction algorithm in addition to telemonitoring.

Respiratory CareVol. 70(8)
Aalborg University Hospital (DK), University College of Northern Denmark (DK), Multiple Sclerosis Center of Atlanta (US), Aalborg University (DK)
Openalex Percentile: Top 4%
Chronic Obstructive Pulmonary Disease (COPD) Research
6.07
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