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      <dc:title>A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial</dc:title>
      <dc:creator>Carrasco-Hernández, Laura</dc:creator>
      <dc:creator>Jódar-Sánchez, Francisco</dc:creator>
      <dc:creator>Núñez-Benjumea, Francisco</dc:creator>
      <dc:creator>Moreno Conde, Jesús</dc:creator>
      <dc:creator>Mesa González, Marco</dc:creator>
      <dc:creator>Civit-Balcells, Antón</dc:creator>
      <dc:creator>Hors-Fraile, Santiago</dc:creator>
      <dc:creator>Parra-Calderón, Carlos L.</dc:creator>
      <dc:creator>Bamidis, Panagiotis D.</dc:creator>
      <dc:creator>Ortega Ruiz, Francisco</dc:creator>
      <dc:subject>Tabaquismo - Tratamiento</dc:subject>
      <dc:description>Objective: This study aimed to analyze the long-term efficacy of a mobile app supporting psychopharmacological therapy for smoking cessation and complementarily assess the involved innovative technology.&#xd;
Methods: A 12-month, randomized, open-label, parallel-group trial comparing smoking cessation rates was performed at Virgen del Rocío University Hospital in Seville (Spain). Smokers were randomly allocated to a control group (CG) receiving usual care (psychopharmacological treatment, n=120) or an intervention group (IG) receiving psychopharmacological treatment and using a mobile app providing artificial intelligence-generated and tailored smoking cessation support messages (n=120). The secondary objectives were to analyze health-related quality of life and monitor healthy lifestyle and physical exercise habits. Safety was assessed according to the presence of adverse events related to the pharmacological therapy. Per-protocol and intention-to-treat analyses were performed. Incomplete data and multinomial regression analyses were performed to assess the variables influencing participant cessation probability. &#xd;
Results: In the IG, abstinence was 2.75 times higher (adjusted OR 3.45, p=0.01) in the per-protocol analysis and 2.15 times higher (adjusted OR 3.13, p=0.002) in the intention-to-treat analysis. Lost data analysis and multinomial logistic models showed different patterns in participants who dropped out. Regarding safety, 14 of 120 (11.7%) IG participants and 13 of 120 (10.8%) CG participants had 19 and 23 adverse events, respectively (p=0.84). None of the clinical secondary objective measures showed relevant differences between the groups. &#xd;
Conclusions: The proposed mHealth solution complementing psychopharmacological therapy showed greater efficacy for achieving 1-year tobacco abstinence as compared with psychopharmacological therapy alone.</dc:description>
      <dc:date>2024-09-27T09:24:32Z</dc:date>
      <dc:date>2024-09-27T09:24:32Z</dc:date>
      <dc:date>2020</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Carrasco-Hernandez, L., Jódar-Sánchez, F., Núñez-Benjumea, F., Moreno Conde, J., Mesa González, M., Civit-Balcells, A., Hors-Fraile, S., Parra-Calderón, C. L., Bamidis, P. D., &amp; Ortega-Ruiz, F. (2020). A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth, 8(4), e17530. https://doi.org/10.2196/17530</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10630/33627</dc:identifier>
      <dc:identifier>10.2196/17530</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>open access</dc:rights>
      <dc:publisher>JMIR PUBLICATIONS, INC</dc:publisher>
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