Search results for "mobile-based interventions"

showing 3 items of 3 documents

Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review

2019

Background: Breast cancer is an invalidating disease and its treatment can bring serious side effects that have a physical and psychological impact. Specifically, cancer treatment generally has a strong impact on cognitive function. In recent years, new technologies and eHealth have had a growing influence on health care and innovative mobile apps can be useful tools to deliver cognitive exercise in the patient’s home. Objective: This systematic review gives an overview of the state-of-the-art mobile apps aimed at training cognitive functions to better understand whether these apps could be useful tools to counteract cognitive impairment in breast cancer patients. Methods: We searched in a …

Adult020205 medical informaticsApplied psychologyPopulationBreast NeoplasmsHealth InformaticsSettore M-PSI/08 - PSICOLOGIA CLINICAReview02 engineering and technologyDiseasecognitive trainingmobile-based interventions03 medical and health sciencesbreast cancerCognition0302 clinical medicineBreast cancerPatient Education as TopicHealth care0202 electrical engineering electronic engineering information engineeringmedicineeHealthSettore M-PSI/01 - PSICOLOGIA GENERALEHumans030212 general & internal medicineeducationinterventioncognitive impairmentAgededucation.field_of_studybusiness.industryUsabilityCognitionMiddle Agedmedicine.diseaseMobile ApplicationsCognitive training3. Good healthFemalebusinessPsychologyJMIR mHealth and uHealth
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Acceptance towards digital health interventions – Model validation and further development of the Unified Theory of Acceptance and Use of Technology

2021

Internet- and mobile-based interventions (IMI) offer an effective way to complement health care. Acceptance of IMI, a key facilitator of their implementation in routine care, is often low. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this study validates and adapts the UTAUT to digital health care. Following a systematic literature search, 10 UTAUT-grounded original studies (N = 1588) assessing patients' and health professionals' acceptance of IMI for different somatic and mental health conditions were included. All included studies assessed Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions and acceptance as well as age, gender,…

Expectancy theorybusiness.industryApplied psychologyPsychological interventionHealth InformaticsInformation technologyUnified theory of acceptance and use of technologyT58.5-58.64Digital healthMental healthStructural equation modelingFull length ArticleBF1-990ddc:AcceptanceHealth careeHealthPsychologyImplementation scienceeHealthbusinessPsychologyInternet-and mobile-based interventionsDigital healthUnified Theory of Acceptance and Use of Technology
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Internet- and mobile-based aftercare and relapse prevention in mental disorders: A systematic review and recommendations for future research

2018

Background Mental disorders are characterized by a high likelihood of recurrence. Thus, aftercare and follow-up interventions aim to maintain treatment gains and to prevent relapse. Internet- and mobile-based interventions (IMIs) may represent promising instruments in tertiary prevention. This systematic review summarizes and evaluates the research on the efficacy of IMIs as aftercare or follow-up interventions for adults with mental health issues. Methods A systematic database search (PsycInfo, MEDLINE, CENTRAL) was conducted and studies selected according to predefined eligibility criteria (RCTs, adult population, clinical symptoms/disorder, assessed with validated instruments, clinical-p…

medicine.medical_specialty020205 medical informaticsmedicine.medical_treatmentlcsh:BF1-990MEDLINEPsychological interventionAftercareHealth Informatics02 engineering and technologyReview ArticleInternet- and mobile-based interventionsRelapse prevention03 medical and health sciences0302 clinical medicineQuality of life (healthcare)0202 electrical engineering electronic engineering information engineeringmedicine030212 general & internal medicinelcsh:T58.5-58.64business.industrylcsh:Information technologymedicine.diseaseMental healthCognitive behavioral therapyEating disorderslcsh:PsychologyPhysical therapySystematic reviewAnxietyRelapse preventionMental healthmedicine.symptombusinessInternet Interventions
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