An analysis on self-management and treatment-related functionality and characteristics of highly rated anxiety apps

Drissi, Nidal; Ouhbi, Sofía; Idrissi, Mohammed Abdou Janati; Ghogho, Mounir

doi:10.1016/j.ijmedinf.2020.104243

Cited by 39 publications

(35 citation statements)

References 59 publications

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“…21,[31][32][40][41][43][44][45][46][47]54 tendo, assim, maior número de possíveis usuários. Os Apps para os Transtornos de Ansiedade 33,51,53 e relacionados com o uso de Substâncias Psicoativas, 28,36 dentre os três principais quadros psiquiátricos presentes no Estudo de Carga de Doença, 56 foram encontrados em pouca quantidade nas buscas, indicando uma lacuna a ser preenchida com a construção para essas condições. Os Apps para TEPT 10,18,20,48,50 se mostraram presentes, porém, três dos cinco artigos eram direcionados ao mesmo App móvel com foco em veteranos de guerra dos EUA.…”

Section: Resultados Resultados Resultados Resultadosunclassified

“…Há uma quantidade considerável de Apps dirigidos à SM quando feita a busca nas lojas, 14,26,40,43,51 entretanto, poucos são, de fato, embasados em evidências científicas ou em pesquisas de verificação de eficácia, justificando mais produção científica nessa área. Apesar da produção científica sobre a eficácia de App móveis para autogestão em SM mostrar que esses ajudam pessoas a controlar seus sintomas, promover bem-estar e quebra de barreiras, há lacuna de estudos sobre aperfeiçoamento de novas funções.…”

Section: Resultados Resultados Resultados Resultadosunclassified

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Explorando o uso de aplicativos móveis para autogestão do tratamento em saúde mental: scoping review

et al. 2021

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Objetivo: mapear a literatura científica produzida sobre aplicativos móveis para a autogestão do tratamento em saúde mental. Método: revisão de escopo realizada em cinco bases em português, inglês ou espanhol em novembro de 2020 com os descritores mental health, mental illness, mental disorder, psychiatric illness, mobile applications, app, self care, self management e self monitoring. Resultados: encontraram-se 46 artigos relacionados, em sua maioria, com desenvolvimento, eficácia, percepção dos usuários ou busca de aplicativos em lojas especializadas e com foco no automonitoramento do humor (13%) ou gestão de doenças mentais, em geral (23,9%). Conclusão: os estudos evidenciaram variedade e eficácia de aplicativos móveis para diferentes transtornos mentais. A construção de novos aplicativos para autogestão em SM deve ser sustentada em evidências, com participação do público e com amostras representativas que, de fato, retratem as expectativas e motivações do usuário para o uso dessas tecnologias na autogestão de seu tratamento.

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Section: Resultados Resultados Resultados Resultadosunclassified

Explorando o uso de aplicativos móveis para autogestão do tratamento em saúde mental: scoping review

et al. 2021

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“…Relaxation practices and music-based techniques have been widely adopted in technology-based interventions for anxiety, mainly in mobile apps [14]. Relaxation practices and music influence not only the psychology but also the physiology of our bodies.…”

Section: Biofeedback With Relaxation Practices and Musicmentioning

confidence: 99%

“…Computer-based cognitive behavioral therapy and self-rated mental health help evaluate the patient's mental health via apps or websites by analyzing the user's answers to certain mental state assessment questions [13]. Patients can also use chatbots and online therapy services to communicate with mental health professionals and obtain a diagnosis [13,14]. Biofeedback-based mental health interventions aim to identify the patient's mental state by monitoring body activities [15].…”

Section: Introductionmentioning

confidence: 99%

Biofeedback-Based Connected Mental Health Interventions for Anxiety: Systematic Literature Review

Alneyadi¹,

Drissi²,

Almeqbaali³

et al. 2021

JMIR Mhealth Uhealth

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Background: Connected mental health, which refers to the use of technology for mental health care and technology-based therapeutic solutions, has become an established field of research. Biofeedback is one of the approaches used in connected mental health solutions, which is mainly based on the analysis of physiological indicators for the assessment and management of the psychological state. Biofeedback is recommended by many therapists and has been used for conditions including depression, insomnia, and anxiety. Anxiety is associated with several physiological symptoms, including muscle tension and breathing issues, which makes the inclusion of biofeedback useful for anxiety detection and management.Objective: The aim of this study was to identify interventions using biofeedback as a part of their process for anxiety management and investigate their perceived effectiveness. Methods:A systematic literature review of publications presenting empirically evaluated biofeedback-based interventions for anxiety was conducted. The systematic literature review was based on publications retrieved from IEEE Digital Library, PubMed, ScienceDirect, and Scopus. A preliminary selection of papers was identified, examined, and filtered to include only relevant publications. Studies in the final selection were classified and analyzed to extract the modalities of use of biofeedback in the identified interventions, the types of physiological data that were collected and analyzed and the sensors used to collect them. Processes and outcomes of the empirical evaluations were also extracted.Results: After final selection, 13 publications presenting different interventions were investigated. The interventions addressed either primarily anxiety disorders or anxiety associated with health issues such as migraine, Parkinson disease, and rheumatology. Solutions combined biofeedback with other techniques including virtual reality, music therapy, games, and relaxation practices and used different sensors including cardiovascular belts, wrist sensors, or stretch sensors to collect physiological data such as heart rate, respiration indicators, and movement information. The interventions targeted different cohorts including children, students, and patients. Overall, outcomes from the empirical evaluations yielded positive results and emphasized the effectiveness of connected mental health solutions using biofeedback for anxiety; however, certain unfavorable outcomes, such as interventions not having an effect on anxiety and patients' preferring traditional therapy, were reported in studies addressing patients with specific physical health issues. Conclusions:The use of biofeedback in connected mental health interventions for the treatment and management of anxiety allows better screening and understanding of both psychological and physiological patient information, as well as of the association between the two. The inclusion of biofeedback could improve the outcome of interventions and boost their effectiveness; however, when used with patients s...

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“…Reviews of contact tracing apps have highlighted their effectiveness in improving the spatiotemporal reporting of new cases, management and follow-up of COVID-19 cases, and education on preventive behaviors [52,53,57,58,[67][68][69][70]. To address the mental and social impacts of the COVID-19 pandemic, several apps have focused on reducing social isolation, providing positive coping strategies, and monitoring mental health symptoms [55,56,63,[71][72][73][74]. Although researchers have noted the utility of COVID-19 apps in providing education and public health surveillance amid a rapidly evolving landscape, reviews of COVID-19 apps have highlighted several barriers to the availability, safety, and long-term sustainability of these technologies, including cost, the use of evidence-based guidelines, and user-centered design considerations for functionality and content [45,61,[75][76][77].…”

Section: Introductionmentioning

confidence: 99%

Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey (Preprint)

Camacho-Rivera¹,

Islam²,

Rivera³

et al. 2020

Preprint

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BACKGROUND Adults with chronic conditions are disproportionately burdened by COVID-19 morbidity and mortality. Although COVID-19 mobile health (mHealth) apps have emerged, research on attitudes toward using COVID-19 mHealth tools among those with chronic conditions is scarce. OBJECTIVE This study aimed to examine attitudes toward COVID-19, identify determinants of COVID-19 mHealth tool use across demographic and health-related characteristics, and evaluate associations between chronic health conditions and attitudes toward using COVID-19 mHealth tools (eg, mHealth or web-based methods for tracking COVID-19 exposures, symptoms, and recommendations). METHODS We used nationally representative data from the COVID-19 Impact Survey collected from April to June 2020 (n=10,760). Primary exposure was a history of chronic conditions, which were defined as self-reported diagnoses of cardiometabolic, respiratory, immune-related, and mental health conditions and overweight/obesity. Primary outcomes were attitudes toward COVID-19 mHealth tools, including the likelihood of using (1) a mobile phone app to track COVID-19 symptoms and receive recommendations; (2) a website to track COVID-19 symptoms, track location, and receive recommendations; and (3) an app using location data to track potential COVID-19 exposure. Outcome response options for COVID-19 mHealth tool use were extremely/very likely, moderately likely, or not too likely/not likely at all. Multinomial logistic regression was used to compare the likelihood of COVID-19 mHealth tool use between people with different chronic health conditions, with not too likely/not likely at all responses used as the reference category for each outcome. We evaluated the determinants of each COVID-19 mHealth intervention using Poisson regression. RESULTS Of the 10,760 respondents, 21.8% of respondents were extremely/very likely to use a mobile phone app or a website to track their COVID-19 symptoms and receive recommendations. Additionally, 24.1% of respondents were extremely/very likely to use a mobile phone app to track their location and receive push notifications about whether they have been exposed to COVID-19. After adjusting for age, race/ethnicity, sex, socioeconomic status, and residence, adults with mental health conditions were the most likely to report being extremely/very or moderately likely to use each mHealth intervention compared to those without such conditions. Adults with respiratory-related chronic diseases were extremely/very (conditional odds ratio 1.16, 95% CI 1.00-1.35) and moderately likely (conditional odds ratio 1.23, 95% CI 1.04-1.45) to use a mobile phone app to track their location and receive push notifications about whether they have been exposed to COVID-19. CONCLUSIONS Our study demonstrates that attitudes toward using COVID-19 mHealth tools vary widely across modalities (eg, web-based method vs app) and chronic health conditions. These findings may inform the adoption of long-term engagement with COVID-19 apps, which is crucial for determining their potential in reducing disparities in COVID-19 morbidity and mortality among individuals with chronic health conditions.

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An analysis on self-management and treatment-related functionality and characteristics of highly rated anxiety apps

Cited by 39 publications

References 59 publications

Explorando o uso de aplicativos móveis para autogestão do tratamento em saúde mental: scoping review

Explorando o uso de aplicativos móveis para autogestão do tratamento em saúde mental: scoping review

Biofeedback-Based Connected Mental Health Interventions for Anxiety: Systematic Literature Review

Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey (Preprint)

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