A feasibility pilot study of an AI-based emotional support application (TerapIA) in a Spanish-speaking community population: recruitment, retention and parameter estimation for a controlled trial

Before running a controlled trial of an emotional support application, it is worth checking that the trial can actually be run. We present a feasibility pilot study of TerapIA, the AI-based emotional support application of LenguajeNatural.AI, with a pre/post design and a control arm, in a Spanish-speaking, non-clinical community population recruited through Fundación Social Padre Ángel. The primary outcome is feasibility: recruitment, baseline completion, 21-day retention and data quality. Anxiety, measured with the GAD-7, is a secondary outcome for which the study was not powered. We recruited 67 participants in 6 days, 66 of whom (98.5%) completed the baseline measure; 32 (47.8% of those enrolled) completed the 21-day measure. In the intervention arm the mean GAD-7 score went from 9.44 to 8.00 (-1.44 points; 95% CI -2.79 to -0.09), while in the control arm it did not change (7.00 to 7.00). The baseline-adjusted difference between arms was -0.99 points (95% CI -3.67 to 1.70; p=0.459), with g=-0.45 (95% CI -1.29 to 0.40) in the direction favoring the intervention. All secondary indicators point the same way, but with 7 controls and 25 intervention participants with follow-up the minimum detectable effect at 80% power is g=1.24, and the estimate changes sign when a single control participant is removed. The direction observed cannot therefore be separated from chance. The clearest finding concerns the process: recruitment and baseline measurement work well, and the bottleneck is the follow-up, where 90% of responses arrive within about six days and later reminders recover very few people. Assuming the effect that recent meta-analyses attribute to conversational agents on anxiety (SMD_post=0.28), a baseline-adjusted analysis and 1:1 allocation, a controlled trial would need 222 complete follow-ups, that is, about 370 participants to recruit with 60% retention, or 465 with the retention observed here.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-03
DOI
https://doi.org/10.5281/zenodo.23124436
Primary Topic
Digital Mental Health Interventions
Type
preprint
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preprint

A feasibility pilot study of an AI-based emotional support application (TerapIA) in a Spanish-speaking community population: recruitment, retention and parameter estimation for a controlled trial

José María Gónzalez‐de‐Echávarri, Alejandro Vaca Serrano, Alberto Vaca Escribano
Zenodo (CERN European Organization for Nuclear Research)
Digital Mental Health Interventions
preprint

A feasibility pilot study of an AI-based emotional support application (TerapIA) in a Spanish-speaking community population: recruitment, retention and parameter estimation for a controlled trial

José María Gónzalez‐de‐Echávarri, Alejandro Vaca Serrano, Alberto Vaca Escribano
preprint en

Abstract

Before running a controlled trial of an emotional support application, it is worth checking that the trial can actually be run. We present a feasibility pilot study of TerapIA, the AI-based emotional support application of LenguajeNatural.AI, with a pre/post design and a control arm, in a Spanish-speaking, non-clinical community population recruited through Fundación Social Padre Ángel. The primary outcome is feasibility: recruitment, baseline completion, 21-day retention and data quality. Anxiety, measured with the GAD-7, is a secondary outcome for which the study was not powered. We recruited 67 participants in 6 days, 66 of whom (98.5%) completed the baseline measure; 32 (47.8% of those enrolled) completed the 21-day measure. In the intervention arm the mean GAD-7 score went from 9.44 to 8.00 (-1.44 points; 95% CI -2.79 to -0.09), while in the control arm it did not change (7.00 to 7.00). The baseline-adjusted difference between arms was -0.99 points (95% CI -3.67 to 1.70; p=0.459), with g=-0.45 (95% CI -1.29 to 0.40) in the direction favoring the intervention. All secondary indicators point the same way, but with 7 controls and 25 intervention participants with follow-up the minimum detectable effect at 80% power is g=1.24, and the estimate changes sign when a single control participant is removed. The direction observed cannot therefore be separated from chance. The clearest finding concerns the process: recruitment and baseline measurement work well, and the bottleneck is the follow-up, where 90% of responses arrive within about six days and later reminders recover very few people. Assuming the effect that recent meta-analyses attribute to conversational agents on anxiety (SMD_post=0.28), a baseline-adjusted analysis and 1:1 allocation, a controlled trial would need 222 complete follow-ups, that is, about 370 participants to recruit with 60% retention, or 465 with the retention observed here.

Zenodo (CERN European Organization for Nuclear Research)
Universidad Complutense de Madrid (ES), Institut de Recerca Biomèdica Catalunya Sud (ES), Barcelonaβeta Brain Research Center (ES)
Digital Mental Health Interventions
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