Search results for "MHealth"

showing 10 items of 52 documents

PA 05-3-0690 Mavie-lab sports: a mhealth for injury prevention and risk management in sport

2018

Computational advances in smart-phone technology and the development of expert systems has been an opportunity to devise the MAVIE-Lab an innovative Mobile Health Application (mHealth) for primary prevention of Home, Leisure and Sport Injuries (HLIs). Here, we present MAVIE-Lab Sports, the first module of the application focused on sports injuries. MAVIE-Lab was developed in the framework of the MAVIE project. A large web-based cohort launched with the objective of prospectively collecting data related to HLIs. A sample size of 26 000 volunteers have been already enrolled in this cohort and the ultimate goal is to recruit 1 00 000 participants in France. As a first step, the MAVIE-Lab will …

EstimationDecision support systembusiness.industryApplied psychologyPersonal injurycomputer.software_genreExpert systemInjury preventionCohortbusinessPsychologymHealthcomputerRisk managementAbstracts
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Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study

2018

Background: Mobile health (mHealth) apps might have the potential to promote self-management of people with multiple sclerosis (MS) in everyday life. However, the uptake of MS apps remains poor, and little is known about the facilitators and barriers for their efficient utilization, such as technology acceptance. Objective: The aim of this study was to examine the acceptance of mHealth apps for disease management in the sense of behavioral intentions to use and explore determinants of utilization among people with MS based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Methods: Participants for this Web-based cross-sectional study were recruited throughout Germany with t…

Expectancy theoryGerontologyOriginal Paper020205 medical informaticsmHealth acceptability of health careMedicine (miscellaneous)Health InformaticsHealth literacy02 engineering and technologyUnified theory of acceptance and use of technologymultiple sclerosisComputer Science Applications03 medical and health sciencesSocial support0302 clinical medicineModerated mediationHelpfulness0202 electrical engineering electronic engineering information engineeringeHealtheHealthPsychologymHealthpatient preference030217 neurology & neurosurgeryJMIR Formative Research
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Gamification and Behavior Change Techniques in Diabetes Self-Management Apps

2019

Background: Diabetes management apps may have positive effects on diabetes self-management. It remains unclear, however, which app features are particularly effective and encourage sustained app usage. Behavior change techniques (BCTs) and gamification are promising approaches to improve user engagement. However, little is known about the frequency BCTs and gamification techniques (GTs) are actually used. This app review aims to provide an overview of BCTs and GTs in current diabetes management apps. Methods: Google’s Play Store was searched for applications using a broad search strategy (keyword: “diabetes”). We limited our research to freely available apps. A total of 56 apps matched the …

Gerontology020205 medical informaticsEndocrinology Diabetes and MetabolismBiomedical EngineeringBioengineeringDiabetes self managementReview Article02 engineering and technologyDiabetes Complications03 medical and health sciences0302 clinical medicineBehavior TherapyDiabetes managementDiabetes mellitusmental disordersDiabetes Mellitus0202 electrical engineering electronic engineering information engineeringInternal MedicinemedicineHumans030212 general & internal medicinemHealthbusiness.industrySelf-ManagementBehavior change methodsmedicine.diseaseMobile ApplicationsVideo GamesbusinessCell PhoneJournal of Diabetes Science and Technology
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Ownership and Use of Commercial Physical Activity Trackers Among Finnish Adolescents: Cross-Sectional Study

2017

BackgroundMobile phone apps for monitoring and promoting physical activity (PA) are extremely popular among adults. Devices, such as heart rate monitors or sports watches (HRMs/SWs) that work with these apps are at sufficiently low costs to be available through the commercial markets. Studies have reported an increase in PA levels among adults with devices; however, it is unknown whether the phenomena are similar during early adolescence. At a time when adolescents start to develop their own sense of independence and build friendship, the ease of smartphone availability in developed countries needs to be investigated in important health promoting behaviors such as PA. ObjectiveThe objective…

Gerontology020205 medical informaticshealth promotionCross-sectional studyphysical activityPoison controlHealth InformaticsInformation technology02 engineering and technologycomputer.software_genremobile phone appsOccupational safety and healthterveyden edistäminendisabled children03 medical and health sciences0302 clinical medicineInjury prevention0202 electrical engineering electronic engineering information engineeringmobiilisovelluksetadolescentsphysical activity trackers030212 general & internal medicineSocial determinants of healthmHealthFinlandmobile phonesOriginal Papermobile phonemittaaminenMultimediaHuman factors and ergonomicsta3141T58.5-58.64Health promotionadolescentsocial determinants of healthPublic aspects of medicineRA1-1270Psychologycomputerfyysinen aktiivisuusJMIR mHealth and uHealth
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A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilo…

2021

[EN] Background: Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. Objective: This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. Methods: We first studied the users' needs and gathered users' graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and o…

Gerontologyobesity020205 medical informaticsassessment02 engineering and technologyOverweightcomputer.software_genreChatbot0302 clinical medicineHealth Information Management0202 electrical engineering electronic engineering information engineering03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades030212 general & internal medicinemHealthuser-centered designTelegrameducation.field_of_studyPublic healthpublic healthmHealthlcsh:R858-859.7medicine.symptomUnderweightPsychologyMATEMATICA APLICADASocial Network AnalysisPopulationHealth InformaticsMHealthAssessmentlcsh:Computer applications to medicine. Medical informatics03 medical and health sciencesmedicineoverweightObesityeducationPROYECTOS DE INGENIERIAUser-centered designOriginal PaperSocial networkbusiness.industryUser-centered designchatbotOverweightmedicine.diseaseObesityFISICA APLICADAbusinesscomputerChatbot
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Standalone Smartphone Cognitive Behavioral Therapy–Based Ecological Momentary Interventions to Increase Mental Health: Narrative Review

2020

Background A growing number of psychological interventions are delivered via smartphones with the aim of increasing the efficacy and effectiveness of these treatments and providing scalable access to interventions for improving mental health. Most of the scientifically tested apps are based on cognitive behavioral therapy (CBT) principles, which are considered the gold standard for the treatment of most mental health problems. Objective This review investigates standalone smartphone-based ecological momentary interventions (EMIs) built on principles derived from CBT that aim to improve mental health. Methods We searched the MEDLINE, PsycINFO, EMBASE, and PubMed databases for peer-reviewed …

Male020205 medical informaticsEcological Momentary Assessmentmedicine.medical_treatmentPneumonia ViralMEDLINEPsychological interventionCBTHealth InformaticsContext (language use)Review02 engineering and technologyPsycINFOsmartphoneBetacoronavirus03 medical and health sciences0302 clinical medicinemobile appEconomic cost0202 electrical engineering electronic engineering information engineeringmedicineHumans030212 general & internal medicineEMIPandemicsmHealth2718 Health Informaticsmobile phoneCognitive Behavioral TherapySARS-CoV-210093 Institute of PsychologyEcologyMental DisordersCOVID-19Mobile ApplicationsMental healthTelemedicine3. Good healthCognitive behavioral therapyMental HealthmHealth10054 Clinic for Psychiatry Psychotherapy and PsychosomaticsFemaleCoronavirus Infections150 PsychologyPsychologyecological momentary intervention10190 Jacobs Center for Productive Youth DevelopmentJMIR mHealth and uHealth
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Activity of the Elderly in an Eight-Week Case Study

2015

This study explores the engagement of the elderly with a new health-enhancing mobile-optimised web-service: An eight-week case study was carried out. Participants of the study were elderly people: 45 females and 19 males with the average age of 72.3 (SD 5.2) years. Their baseline information and communication technology experiences were evaluated, the data of using each service component was saved to a server and the usability of the service was evaluated. The majority of the users remained active throughout the study. The most frequently used components in the study were memory puzzles and physical exercise. The usability of the components was correlated with the age of the participants. T…

MarketingGerontologyService (business)Computer Networks and Communicationsbusiness.industryStrategy and Managementta3141AdvertisingUsabilityPhysical exerciseelderlyComputer Science ApplicationsManagement Information Systemsmobile technologymHealthhealth behaviourInformation and Communications Technologytablet computereHealtheHealthMobile technologyBaseline (configuration management)businessPsychologymHealthInternational Journal of E-Services and Mobile Applications
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Mechanisms of Smartphone Apps for Cigarette Smoking Cessation: Results of a Serial Mediation Model From the iCanQuit Randomized Trial

2021

Background Engagement with digital interventions is a well-known predictor of treatment outcomes, but this knowledge has had limited actionable value. Instead, learning why engagement with digital interventions impact treatment outcomes can lead to targeted improvements in their efficacy. Objective This study aimed to test a serial mediation model of an Acceptance and Commitment Therapy (ACT) smartphone intervention for smoking cessation. Methods In this randomized controlled trial, participants (N=2415) from 50 US states were assigned to the ACT-based smartphone intervention (iCanQuit) or comparison smartphone intervention (QuitGuide). Their engagement with the apps (primary measure: numb…

Mediation (statistics)medicine.medical_specialtymedicine.medical_treatmenthyväksymis- ja omistautumisterapiaPsychological interventionHealth InformaticssmartphoneAcceptance and commitment therapysmokinglaw.inventionmHealth: smartphoneRandomized controlled triallawtupakointiIntervention (counseling)medicinemobiilisovelluksetHumansmediationlopettaminenAcceptance and Commitment TherapyappinterventiointerventionOriginal Papermodelbusiness.industrydigitalsitoutuminenTobacco ProductsMobile ApplicationsTest (assessment)älypuhelimetcessationterveyskäyttäytyminenSmartphone apprandomized controlled trialPhysical therapySmoking cessationSmoking CessationSmartphonebusinessengagementacceptanceJMIR mHealth and uHealth
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Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users

2019

Background Health apps for the screening and diagnosis of mental disorders have emerged in recent years on various levels (eg, patients, practitioners, and public health system). However, the diagnostic quality of these apps has not been (sufficiently) tested so far. Objective The objective of this pilot study was to investigate the diagnostic quality of a health app for a broad spectrum of mental disorders and its dependency on expert knowledge. Methods Two psychotherapists, two psychology students, and two laypersons each read 20 case vignettes with a broad spectrum of mental disorders. They used a health app (Ada—Your Health Guide) to get a diagnosis by entering the symptoms. Interrater …

Original PapermHealth150 PsychologiescreeningdiagnosticeHealth150 Psychologyartificial intelligencemental disorders(mobile) appJMIR Formative Research
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2019

Background: Excessive gestational weight gain is common and associated with adverse outcomes both in the short and long term. Although traditional lifestyle-based interventions have shown to mitigate excess gestational weight gain, little is known about whether mobile Health (mHealth) apps can promote healthy weight gain, diet, and physical activity during pregnancy. Objective: The primary aim of the HealthyMoms trial is to determine the effectiveness of a smartphone app (HealthyMoms) for mitigating excess gestational weight gain during pregnancy. Secondary aims are to determine the effectiveness of the app on dietary habits, physical activity, body fatness, and glycemia during pregnancy. M…

Pregnancymedicine.medical_specialtyTelemedicine020205 medical informaticsbusiness.industryPsychological intervention02 engineering and technologyGeneral Medicinemedicine.diseaselaw.invention03 medical and health sciences0302 clinical medicineRandomized controlled triallawHealth care0202 electrical engineering electronic engineering information engineeringmedicinePhysical therapyGestation030212 general & internal medicinemedicine.symptombusinessWeight gainmHealthJMIR Research Protocols
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