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  1. Article ; Online: Erythematous annular plaques in a patient with systemic lupus erythematosus.

    Pinto-Pulido, Elena Lucía / González-Cañete, Marta / Vélez-Velázquez, María Dolores / Rodríguez-Villa Lario, Ana

    International journal of dermatology

    2022  Volume 62, Issue 9, Page(s) 1107–1109

    MeSH term(s) Humans ; Erythema/diagnosis ; Erythema/etiology ; Lupus Erythematosus, Systemic/complications ; Lupus Erythematosus, Systemic/diagnosis ; Lupus Erythematosus, Systemic/drug therapy
    Language English
    Publishing date 2022-11-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 412254-9
    ISSN 1365-4632 ; 0011-9059 ; 1461-1244
    ISSN (online) 1365-4632
    ISSN 0011-9059 ; 1461-1244
    DOI 10.1111/ijd.16489
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Psychiatric rehabilitation through teaching smartphone skills to improve functional outcomes in serious mental illness.

    Rodriguez-Villa, Elena / Camacho, Erica / Torous, John

    Internet interventions

    2021  Volume 23, Page(s) 100366

    Abstract: This study measured the impact of a digital competencies and skills course on participants with serious mental illness. Close to 75% of participants reported an improvement in a smartphone related skill, and the majority of participants that reported ... ...

    Abstract This study measured the impact of a digital competencies and skills course on participants with serious mental illness. Close to 75% of participants reported an improvement in a smartphone related skill, and the majority of participants that reported improvement in one skill reported improvement in at least one other. Qualitative feedback from participants suggests how digital competencies acquired were used to immediately support functional outcomes.
    Objective: To improve functional outcomes in patients with serious mental illness through a multi-session curriculum designed to improve smartphone skills and engage participants in group learning and problem solving, targeting negative and cognitive symptoms of illness.
    Methods: An eight-week smartphone digital competencies and skills course was offered to two distinct groups of youth with serious mental illness. Pre and post self-report measurements were captured for each participant for each session.
    Results: Group participation varied by session, but overall 28 unique patients attended. From survey results, 75% reported improvement in smartphone related skills because of the groups. Qualitative feedback suggests how skills acquired by patients were immediately utilized to gain insight into health and support functional outcomes.
    Conclusions and implications for practice: Smartphone skills groups are a means to provide practical psychiatric rehabilitation that may enable some patients to compensate for cognitive and social deficits due to illness. While ensuring groups are responsive to patients with varying degrees of skills remains a challenge, adapting lesson structures and mediums, as well as creating new measurement tools, offers a means to modify the course with the clinical need.
    Language English
    Publishing date 2021-01-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2764252-5
    ISSN 2214-7829 ; 2214-7829
    ISSN (online) 2214-7829
    ISSN 2214-7829
    DOI 10.1016/j.invent.2021.100366
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Investigating Associations Between Screen Time and Symptomatology in Individuals With Serious Mental Illness: Longitudinal Observational Study.

    Henson, Philip / Rodriguez-Villa, Elena / Torous, John

    Journal of medical Internet research

    2021  Volume 23, Issue 3, Page(s) e23144

    Abstract: Background: Increasing screen time exposure from digital devices like smartphones has shown a variety of mixed associations with cognition, behavior, and well-being in adults and children but little is known about its associations with symptomatology in ...

    Abstract Background: Increasing screen time exposure from digital devices like smartphones has shown a variety of mixed associations with cognition, behavior, and well-being in adults and children but little is known about its associations with symptomatology in individuals with serious mental illness.
    Objective: To determine the range of associations between screen time and symptoms of individuals with mental illness, we utilized a method called specification curve analysis.
    Methods: In this observational study, we recruited smartphone-owning adults (≥18 years old) with schizophrenia and healthy controls. We installed 2 research-source smartphone apps, mindLAMP and Beiwe, to collect survey results, cognitive test results, and screen time metrics over a period of 3 months. Surveys were scheduled for twice a week, but participants were instructed to take the surveys naturally as much or as little as they wanted. Screen time was collected continuously in the background. A total of 140 participants was recruited from the outpatient clinic population as well as through general public advertising. Age-matched, smartphone-owning healthy controls were also part of the recruitment pool. A specification curve analysis was a priori designed to explore the relationship between every combination of independent variable and dependent variable in order to demonstrate to what degree screen time relates to symptoms in individuals with serious mental illness.
    Results: The sample consisted of 88 participants (54 with schizophrenia and 34 healthy controls) who completed both the initial and follow-up visits, completed at least one self-reported survey, and had a minimum passive data cutoff of 5 consecutive days. While we found an association between smartphone screen time metrics and cognition (adjusted R
    Conclusions: The associations between screen time and mental health in patients with schizophrenia are heterogenous when examined with methods that reduce analytical bias. The heterogeneity in associations suggests that complex and personalized potential effects must be understood in the greater context of an individual. This analysis of longitudinally collected screen time data shows potential for future research that could benefit from high resolution metrics on smartphone use.
    MeSH term(s) Adolescent ; Adult ; Child ; Humans ; Longitudinal Studies ; Mental Disorders/diagnosis ; Mental Disorders/epidemiology ; Screen Time ; Smartphone ; Surveys and Questionnaires
    Language English
    Publishing date 2021-03-10
    Publishing country Canada
    Document type Journal Article ; Observational Study
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1439-4456
    ISSN (online) 1438-8871
    ISSN 1439-4456
    DOI 10.2196/23144
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Regulating digital health technologies with transparency: the case for dynamic and multi-stakeholder evaluation.

    Rodriguez-Villa, Elena / Torous, John

    BMC medicine

    2019  Volume 17, Issue 1, Page(s) 226

    Abstract: Background: The prevalence of smartphones today, paired with the increasing precision and therapeutic potential of digital capabilities, offers unprecedented opportunity in the field of digital medicine. Smartphones offer novel accessibility, unique ... ...

    Abstract Background: The prevalence of smartphones today, paired with the increasing precision and therapeutic potential of digital capabilities, offers unprecedented opportunity in the field of digital medicine. Smartphones offer novel accessibility, unique insights into physical and cognitive behavior, and diverse resources designed to aid health. Many of these digital resources, however, are developed and shared at a faster rate than they can be assessed for efficacy, safety, and security-presenting patients and clinicians with the challenge of distinguishing helpful tools from harmful ones.
    Main text: Leading regulators, such as the FDA in the USA and the NHS in the UK, are working to evaluate the influx of mobile health applications entering the market. Efforts to regulate, however, are challenged by the need for more transparency. They require real-world data on the actual use, effects, benefits, and harms of these digital health tools. Given rapid product cycles and frequent updates, even the most thorough evaluation is only as accurate as the data it is based on.
    Conclusions: In this debate piece, we propose a complementary approach to ongoing efforts via a dynamic self-certification checklist. We outline how simple self-certification, validated or challenged by app users, would enhance transparency, engage diverse stakeholders in meaningful education and learning, and incentivize the design of safe and secure medical apps.
    MeSH term(s) Humans ; Mobile Applications/standards ; Smartphone/instrumentation ; Stakeholder Participation
    Language English
    Publishing date 2019-12-03
    Publishing country England
    Document type Journal Article
    ISSN 1741-7015
    ISSN (online) 1741-7015
    DOI 10.1186/s12916-019-1447-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Occipital involvement in classic frontal fibrosing alopecia: Clinical and trichoscopic cross-sectional study in 17 patients.

    Pérez Mesonero, Raquel / Pinto Pulido, Elena Lucía / Gómez Zubiaur, Alba / Vélez Velázquez, Dolores / Vega Díez, David / Rodríguez-Villa Lario, Ana / González-Cañete, Marta / García Verdú, Elena / Vergara Pelayo, Pablo / Trasobares Marugán, Lidia

    Journal of the American Academy of Dermatology

    2023  Volume 89, Issue 4, Page(s) 815–817

    MeSH term(s) Humans ; Cross-Sectional Studies ; Alopecia ; Lichen Planus
    Language English
    Publishing date 2023-06-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603641-7
    ISSN 1097-6787 ; 0190-9622
    ISSN (online) 1097-6787
    ISSN 0190-9622
    DOI 10.1016/j.jaad.2023.05.064
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Health Information Technology Resources to Support Measurement-Based Care.

    Torous, John / Powell, Adam C / Rodriguez-Villa, Elena

    Child and adolescent psychiatric clinics of North America

    2020  Volume 29, Issue 4, Page(s) 763–773

    Abstract: To increase utilization and convert health information technology into measurement-based care, this article highlights 4 criteria and actions that help distinguish successful mobile mental health interventions: first, interest: draw on pervading interest ...

    Abstract To increase utilization and convert health information technology into measurement-based care, this article highlights 4 criteria and actions that help distinguish successful mobile mental health interventions: first, interest: draw on pervading interest in mobile mental health; second, engagement: offer personalized design features and recommendations; third, specificity and simplicity: provide simple, specific, and timely feedback; fourth, support: incorporate support from peers, family and friends, and caregivers.
    MeSH term(s) Humans ; Medical Informatics ; Mental Health Services/standards ; Mobile Applications ; Patient Reported Outcome Measures ; Psychometrics ; Self Care ; Telemedicine ; User-Computer Interface
    Language English
    Publishing date 2020-07-22
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1313996-4
    ISSN 1558-0490 ; 1056-4993
    ISSN (online) 1558-0490
    ISSN 1056-4993
    DOI 10.1016/j.chc.2020.06.011
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  7. Article ; Online: Regulating digital health technologies with transparency

    Elena Rodriguez-Villa / John Torous

    BMC Medicine, Vol 17, Iss 1, Pp 1-

    the case for dynamic and multi-stakeholder evaluation

    2019  Volume 5

    Abstract: Abstract Background The prevalence of smartphones today, paired with the increasing precision and therapeutic potential of digital capabilities, offers unprecedented opportunity in the field of digital medicine. Smartphones offer novel accessibility, ... ...

    Abstract Abstract Background The prevalence of smartphones today, paired with the increasing precision and therapeutic potential of digital capabilities, offers unprecedented opportunity in the field of digital medicine. Smartphones offer novel accessibility, unique insights into physical and cognitive behavior, and diverse resources designed to aid health. Many of these digital resources, however, are developed and shared at a faster rate than they can be assessed for efficacy, safety, and security—presenting patients and clinicians with the challenge of distinguishing helpful tools from harmful ones. Main text Leading regulators, such as the FDA in the USA and the NHS in the UK, are working to evaluate the influx of mobile health applications entering the market. Efforts to regulate, however, are challenged by the need for more transparency. They require real-world data on the actual use, effects, benefits, and harms of these digital health tools. Given rapid product cycles and frequent updates, even the most thorough evaluation is only as accurate as the data it is based on. Conclusions In this debate piece, we propose a complementary approach to ongoing efforts via a dynamic self-certification checklist. We outline how simple self-certification, validated or challenged by app users, would enhance transparency, engage diverse stakeholders in meaningful education and learning, and incentivize the design of safe and secure medical apps.
    Keywords Digital health ; mhealth ; Regulation ; Smartphone apps ; ehealth ; Medicine ; R
    Language English
    Publishing date 2019-12-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Polylobulated Scalp Nodule with Heterogeneous Cystic Ultrasound Signs.

    Pinto-Pulido, Elena Lucia / Rodríguez-Villa Lario, Ana / González-Cañete, Marta / Vega-Díez, David / Vélez-Velázquez, Dolores

    Skin appendage disorders

    2021  Volume 8, Issue 1, Page(s) 78–80

    Language English
    Publishing date 2021-08-18
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2806972-9
    ISSN 2296-9160 ; 2296-9195
    ISSN (online) 2296-9160
    ISSN 2296-9195
    DOI 10.1159/000518124
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  9. Article ; Online: Investigating Associations Between Screen Time and Symptomatology in Individuals With Serious Mental Illness

    Henson, Philip / Rodriguez-Villa, Elena / Torous, John

    Journal of Medical Internet Research, Vol 23, Iss 3, p e

    Longitudinal Observational Study

    2021  Volume 23144

    Abstract: BackgroundIncreasing screen time exposure from digital devices like smartphones has shown a variety of mixed associations with cognition, behavior, and well-being in adults and children but little is known about its associations with symptomatology in ... ...

    Abstract BackgroundIncreasing screen time exposure from digital devices like smartphones has shown a variety of mixed associations with cognition, behavior, and well-being in adults and children but little is known about its associations with symptomatology in individuals with serious mental illness. ObjectiveTo determine the range of associations between screen time and symptoms of individuals with mental illness, we utilized a method called specification curve analysis. MethodsIn this observational study, we recruited smartphone-owning adults (≥18 years old) with schizophrenia and healthy controls. We installed 2 research-source smartphone apps, mindLAMP and Beiwe, to collect survey results, cognitive test results, and screen time metrics over a period of 3 months. Surveys were scheduled for twice a week, but participants were instructed to take the surveys naturally as much or as little as they wanted. Screen time was collected continuously in the background. A total of 140 participants was recruited from the outpatient clinic population as well as through general public advertising. Age-matched, smartphone-owning healthy controls were also part of the recruitment pool. A specification curve analysis was a priori designed to explore the relationship between every combination of independent variable and dependent variable in order to demonstrate to what degree screen time relates to symptoms in individuals with serious mental illness. ResultsThe sample consisted of 88 participants (54 with schizophrenia and 34 healthy controls) who completed both the initial and follow-up visits, completed at least one self-reported survey, and had a minimum passive data cutoff of 5 consecutive days. While we found an association between smartphone screen time metrics and cognition (adjusted R2=0.107, P<.001), specification curve analysis revealed a wide range of heterogenous associations with screen time from very negative to very positive. The effects differed based on diagnostic group, age bracket, type of regression model used, ...
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
    Subject code 150
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher JMIR Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Digital technology for management of severe mental disorders in low-income and middle-income countries.

    Merchant, Rutvij / Torous, John / Rodriguez-Villa, Elena / Naslund, John A

    Current opinion in psychiatry

    2020  Volume 33, Issue 5, Page(s) 501–507

    Abstract: Purpose of review: Increasingly, digital technologies, especially mobile telecommunications and smartphone apps, are seen as a novel tool for managing severe mental disorders (SMDs) in low-income and middle-income countries (LMICs). However, there is a ... ...

    Abstract Purpose of review: Increasingly, digital technologies, especially mobile telecommunications and smartphone apps, are seen as a novel tool for managing severe mental disorders (SMDs) in low-income and middle-income countries (LMICs). However, there is a need to identify best practices in the use of digital technologies to effectively reach, support, and manage care for patients living with SMDs. In this review, we summarize recent studies using digital technology to manage symptoms and support clinical care for this patient population and discuss new opportunities to advance digital psychiatry research and practice in LMICs.
    Recent findings: Studies evaluating digital interventions for clinical populations living with SMDs in LMICs are limited. Yet, across recent articles surveyed, digital technology appears to yield diverse benefits for this at-risk patient population. These benefits include improved medication adherence, appointment adherence, reduced instances of relapse, and fewer re-hospitalizations.
    Summary: Continued rigorous research evaluating effectiveness and cost-effectiveness of digital technologies in reaching, treating, and managing symptoms and supporting clinical care for patients with SMDs in LMICs is vital. The urgency for remote approaches for delivering specialized psychiatric care is particularly pronounced because of the immediate and long-term impact of the coronavirus (COVID-19) pandemic on access to in-person services. Future research should emphasize participatory approaches rooted in a process of codesign with target users, in order to achieve clinically effective remotely delivered digital mental health interventions.
    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Developing Countries ; Humans ; Internet-Based Intervention ; Mental Disorders/epidemiology ; Mental Disorders/therapy ; Pandemics/prevention & control ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; SARS-CoV-2 ; Socioeconomic Factors ; Telemedicine/economics ; Telemedicine/methods
    Keywords covid19
    Language English
    Publishing date 2020-06-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 645162-7
    ISSN 1473-6578 ; 0951-7367
    ISSN (online) 1473-6578
    ISSN 0951-7367
    DOI 10.1097/YCO.0000000000000626
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