Irene De-Torres

Prof. Irene De-Torres

Hospital Regional Universitario de Málaga
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2021 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
AMAntonio Muro-Culebras
Antonio Muro-Culebras
Adrian Escriche-EscuderAdrian Escriche-Escuder
Adrian Escriche-Escuder
JMJaime Martin-Martin
Jaime Martin-Martin
CRCristina Roldán-Jiménez
Cristina Roldán-Jiménez
Irene De-TorresIrene De-Torres
Irene De-Torres
Antonio Cuesta-VargasAntonio Cuesta-Vargas
Antonio Cuesta-Vargas
Background: There are several mobile health (mHealth) apps in mobile app stores. These apps enter the business-to-customer market with limited controls. Both, apps that users use autonomously and those designed to be recommended by practitioners require an end-user validation to minimize the risk of using apps that are ineffective or harmful. Prior studies have reviewed the most relevant aspects in a tool designed for assessing mHealth app quality, and different options have been developed for this purpose. However, the psychometric properties of the mHealth quality measurement tools, that is, the validity and reliability of the tools for their purpose, also need to be studied. The Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) initiative has developed tools for selecting the most suitable measurement instrument for health outcomes, and one of the main fields of study was their psychometric properties. Objective: This study aims to address and psychometrically analyze, following the COSMIN guideline, the quality of the tools that are used to measure the quality of mHealth apps. Methods: From February 1, 2019, to December 31, 2019, 2 reviewers searched PubMed and Embase databases, identifying mHealth app quality measurement tools and all the validation studies associated with each of them. For inclusion, the studies had to be meant to validate a tool designed to assess mHealth apps. Studies that used these tools for the assessment of mHealth apps but did not include any psychometric validation were excluded. The measurement tools were analyzed according to the 10 psychometric properties described in the COSMIN guideline. The dimensions and items analyzed in each tool were also analyzed. Results: The initial search showed 3372 articles. Only 10 finally met the inclusion criteria and were chosen for analysis in this review, analyzing 8 measurement tools. Of these tools, 4 validated ≥5 psychometric properties defined in the COSMIN guideline. Although some of the tools only measure the usability dimension, other tools provide information such as engagement, esthetics, or functionality. Furthermore, 2 measurement tools, Mobile App Rating Scale and mHealth Apps Usability Questionnaire, have a user version, as well as a professional version. Conclusions: The Health Information Technology Usability Evaluation Scale and the Measurement Scales for Perceived Usefulness and Perceived Ease of Use were the most validated tools, but they were very focused on usability. The Mobile App Rating Scale showed a moderate number of validated psychometric properties, measures a significant number of quality dimensions, and has been validated in a large number of mHealth apps, and its use is widespread. It is suggested that the continuation of the validation of this tool in other psychometric properties could provide an appropriate option for evaluating the quality of mHealth apps.

Adrian Escriche-EscuderAdrian Escriche-Escuder
Adrian Escriche-Escuder
Irene De-TorresIrene De-Torres
Irene De-Torres
CRCristina Roldán-Jiménez
Cristina Roldán-Jiménez
JMJaime Martin-Martin
Jaime Martin-Martin
AMAntonio Muro-Culebras
Antonio Muro-Culebras
Antonio Cuesta-VargasAntonio Cuesta-Vargas
Antonio Cuesta-Vargas
Digital health interventions may improve different behaviours. However, the rapid proliferation of technological solutions often does not allow for a correct assessment of the quality of the tools. This study aims to review and assess the quality of the available mobile applications (apps) related to interventions for low back pain. Two reviewers search the official stores of Android (Play Store) and iOS (App Store) for localisation in Spain and the United Kingdom, in September 2019, searching for apps related to interventions for low back pain. Seventeen apps finally are included. The quality of the apps is measured using the Mobile App Rating Scale (MARS). The scores of each section and the final score of the apps are retrieved and the mean and standard deviation obtained. The average quality ranges between 2.83 and 4.57 (mean 3.82) on a scale from 1 (inadequate) to 5 (excellent). The best scores are found in functionality (4.7), followed by aesthetic content (mean 4.1). Information (2.93) and engagement (3.58) are the worst rated items. Apps generally have good overall quality, especially in terms of functionality and aesthetics. Engagement and information should be improved in most of the apps. Moreover, scientific evidence is necessary to support the use of applied health tools.

3 December 2013 in Aphasiology
Verified
Journal Article
Closed access
MBMarcelo L. Berthier
Marcelo L. Berthier
GDGuadalupe Dávila
Guadalupe Dávila
CGCristina Green-Heredia
Cristina Green-Heredia
ITIgnacio Moreno Torres
Ignacio Moreno Torres
RMRocío Juárez-Ruiz De Mier
Rocío Juárez-Ruiz De Mier
RRRafael Ruiz-Cruces
Rafael Ruiz-Cruces

14 June 2017 in Frontiers in Human Neuroscience
Verified
Journal Article
Open access
MBMarcelo L. Berthier
Marcelo L. Berthier
Irene De-TorresIrene De-Torres
Irene De-Torres
JPJosé Paredes-Pacheco
José Paredes-Pacheco
NVNúria Roé Vellvé
Núria Roé Vellvé
KTKarl Thurnhofer-Hemsi
Karl Thurnhofer-Hemsi
GDGuadalupe Dávila
Guadalupe Dávila
Donepezil (DP), a cognitive-enhancing drug targeting the cholinergic system, combined with massed sentence repetition training augmented and speeded up recovery of speech production deficits in patients with chronic conduction aphasia and extensive left hemisphere infarctions (Berthier et al., 2014). Nevertheless, a still unsettled question is whether such improvements correlate with restorative structural changes in grey matter and white matter pathways mediating speech production. In the present study, we used pharmacological magnetic resonance imaging (phMRI) to study treatment-induced brain changes in grey matter and white matter tracts in a right-handed male with chronic conduction aphasia and a right subcortical lesion (crossed aphasia). A single-patient, open-label multiple-baseline design incorporating two different treatments and two posttreatment evaluations was used. The patient received an initial dose of DP (5 mg/day) which was maintained during 4 weeks and then titrated up to 10 mg/day and administered alone (without aphasia therapy) during 8 weeks (Endpoint 1). Thereafter, the drug was combined with an audiovisual repetition-imitation therapy (Look-Listen-Repeat - LLR) during 3 months (Endpoint 2). Language evaluations, diffusion weighted imaging (DWI) and voxel-based morphometry (VBM) were performed at baseline and at both endpoints in JAM and once in 21 healthy control males. Treatment with DP alone and combined with LLR therapy induced marked improvement in aphasia and communication deficits as well as in selected measures of connected speech production, and phrase repetition. The obtained gains in speech production remained well-above baseline scores even four months after ending combined therapy. Longitudinal DWI showed structural plasticity in the right frontal aslant tract and direct segment of the arcuate fasciculus with both interventions. VBM revealed no structural changes in other white matter tracts nor in cortical areas linked by these tracts. In conclusion, cholinergic potentiation alone and combined with a model-based aphasia therapy improved language deficits by promoting structural plastic changes in right white matter tracts.

5 October 2023 in Biomedical Signal Processing and Control
Verified
Journal Article
Open access
MMMario Molina
Mario Molina
Lorenzo TardónLorenzo Tardón
Lorenzo Tardón
ABAna M. Barbancho
Ana M. Barbancho
Irene De-TorresIrene De-Torres
Irene De-Torres
Isabel BarbanchoIsabel Barbancho
Isabel Barbancho

9 August 2016 in Frontiers in Human Neuroscience
Verified
Journal Article
Open access
PDF file
MBMarcelo L. Berthier
Marcelo L. Berthier
NVNúria Roé Vellvé
Núria Roé Vellvé
IMIgnacio Moreno-Torres
Ignacio Moreno-Torres
CFCarles Falcon
Carles Falcon
KTKarl Thurnhofer-Hemsi
Karl Thurnhofer-Hemsi
GDGuadalupe Dávila
Guadalupe Dávila
Foreign accent syndrome (FAS) is a speech disorder that is defined by the emergence of a peculiar manner of articulation and intonation which is perceived as foreign. In most cases of acquired FAS (AFAS) the new accent is secondary to small focal lesions involving components of the bilaterally distributed neural network for speech production. In the past few years FAS has also been described in different psychiatric conditions (conversion disorder, bipolar disorder, schizophrenia) as well as in developmental disorders (specific language impairment, apraxia of speech). In the present study, two adult males, one with atypical phonetic production and the other one with cluttering, reported having developmental FAS (DFAS) since their adolescence. Perceptual analysis by naïve judges could not confirm the presence of foreign accent, possibly due to the mildness of the speech disorder. However, detailed linguistic analysis provided evidence of prosodic and segmental errors previously reported in AFAS cases. Cognitive testing showed reduced communication in activities of daily living and mild deficits related to psychiatric disorders. Psychiatric evaluation revealed long-lasting internalizing disorders (neuroticism, anxiety, obsessive-compulsive disorder, social phobia, depression, alexithymia, hopelessness, and apathy) in both subjects. Diffusion tensor imaging (DTI) data from each subject with DFAS were compared with data from a group of 21 age- and gender-matched healthy control subjects. Diffusion parameters (MD, AD, and RD) in predefined regions of interest showed changes of white matter microstructure in regions previously related with AFAS and psychiatric disorders. In conclusion, the present findings militate against the possibility that these two subjects have FAS of psychogenic origin. Rather, our findings provide evidence that mild DFAS occurring in the context of subtle, yet persistent, developmental speech disorders may be associated with structural brain anomalies. We suggest that the simultaneous involvement of speech and emotion regulation networks might result from disrupted neural organization during development, or compensatory or maladaptive plasticity. Future studies are required to examine whether the interplay between biological trait-like diathesis (shyness, neuroticism) and the stressful experience of living with mild DFAS lead to the development of internalizing psychiatric disorders.