ArticleOpen respiratory archives
Artificial Intelligence-Based Interventions in Pulmonology: What Factors Influence Patient Participation in This Type of Study?
Article in Open respiratory archives. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
6 authors.
Funding
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Abstract
This study evaluated the differential characteristics between Chronic Obstructive Pulmonary Disease (COPD) exacerbator patients who accepted or declined participation in a telemonitoring program based on the virtual assistant "Lola" at Virgen Macarena University Hospital (HUVM). Between October 2023 and November 2024, 82 patients were invited to participate, and clinical as well as sociodemographic variables were collected through electronic health record review and telephone interview. Of these, 59.8% agreed to participate, whereas 40.2% refused. Refusal was significantly associated with lower sociocultural level, fewer electronic devices, higher anxiety and depression scores (HADS-A, HADS-D), and lower adherence to inhaled therapy (TAI). These findings suggest that sociotechnological barriers play a determining role in program acceptance and may inform patient selection strategies and implementation approaches aimed at improving adherence and optimizing the effectiveness of telemonitoring interventions.
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