View clinical trials related to Mobile Health.
Filter by:Measurement-based care (MBC) is an evidence-based practice that incorporates routine outcome assessment using validated rating scales to guide collaborative clinical decision-making. Although MBC results in improved outcomes for patients with major depressive disorder (MDD), there are barriers to its broad implementation in clinical settings. The use of "enhanced" MBC (eMBC), with mobile apps that allow patients to track outcomes and engage in self-management via WeChat, may address some of these barriers. This study intends to compare differences of efficacy between the implementation with eMBC using WeChat and the standard MBC implementation using paper-pencil assessments at the clinic, for both implementation and clinical outcomes.
Background: Physical activity (PA) has an impact on physical and mental health in neurotypical populations, and addressing these variables may improve the prevalent burden of anxiety in adults with autism spectrum disorder (ASD). Gamified mobile apps using behavior change techniques present a promising way of increasing PA and reducing sedentary time, thus reducing anxiety in adults with ASD. Objective: This study aimed to compare the effectiveness of a gamified and behavior change technique-based mobile app, PuzzleWalk, versus a commercially available app, Google Fit, on increasing PA and reducing sedentary time as an adjunct anxiety treatment for this population. Methods: A total of 24 adults with ASD were assigned to either the PuzzleWalk or Google Fit group for 5 weeks using a covariate-adaptive randomization design. PA and anxiety were assessed over 7 days at 3 different data collection periods (ie, baseline, intervention start, and intervention end) using triaxial accelerometers and the Beck Anxiety Inventory. Group differences in outcome variables were assessed using repeated-measures analysis of covariance, adjusting for age, sex, and BMI.
This study aims to enhance the general 5As brief advice model with interactive mobile phone-based intervention and active referral to community smoking cessation services for smoking patients discharged from hospitals.
Introduction: One of the alternative ways, as a result of the increasing demand for health services and the inadequacy of meeting the increasing needs, is mobile health applications. According to TUIK 2019 data, the rate of having mobile phones in households is 98.7%. With the development of technology, all information can be integrated into the mobile phone, and mobile applications allow the patient to give data from the environment in which he lives and to evaluate himself. Self-assessment and monitoring of the patient enable the patient to participate in his/her self-care, supports self-management behaviors, and improves their quality of life. Objective: It was aimed to develop a mobile support application for patients undergoing bariatric surgery and to evaluate the effect of application use on patients' self-management, quality of life, and clinical outcomes. Method: In the first stage; - Preparing the information to be included in the mobile health application that is planned to be developed and evaluating the quality of the content, - Parallel to this, the adaptation of the "Bariatric Surgery Self-Management Behaviors Scale" into Turkish and the evaluation of its validity and reliability. - Design of the mobile application, transferring the educational content to the mobile application, - It is aimed to evaluate the technical suitability and usability of the mobile application. In the second stage, it was aimed to conduct a randomized controlled study to determine the effect of the developed mobile application on the self-management, quality of life and clinical outcomes of the patients. The developed mobile application will be introduced to patients at discharge after bariatric surgery. Rating scales will be administered to patients at the end of one, three, and six months after surgery. These scales are the Bariatric Surgery Self-Management Behaviors Scale and the Moorehead-Ardelt Quality of Life Scale-II. Conclusion: It is expected that the mobile application-based education to be developed for bariatric surgery will improve the patients' post-surgical self-management, increase their quality of life and decrease the early complication rates.
This is a pilot study conducted at the Bronx MWCCS Clinical Research Site in the Bronx, NY. We will recruit 60 individuals with coexisting asthma and/or Type 2 DM from this cohort. During the 3 month study period, these 60 participants will receive a comprehensive mobile health (mHealth) app, WELLXcel which includes: 1) guideline-based asthma and diabetes education delivered through interactive features such as animated videos and tailored push notifications; 2) the collection of PRO measures to enable patients symptom self-tracking. During this study, we will evaluate the association between baseline digital health literacy and favorable clinical outcomes related to the WELLXcel study intervention.
This research aimed to develop health module related to nutrition through mobile phone and to access it effectiveness among mother, infant and children (0-2 years old) to prevent stunting in Kelantan, Malaysia. Besides, to evaluate the effectiveness of intervention in reducing stress among pregnant and lactating women. The mobile health (mHealth) messaging interventions will be delivered via a mobile app known as WhatsApp and by a phone call. There will be a total of 50 messages for 6 months of intervention in which 2 messages will be delivered per week (every Tuesday & Thursday). The understanding of information will be evaluated 2 times per month by a phone call. The type of messages that will be used are text messages, voice messages, video/graphic messages, and voice calls. The assessment using a brief questionnaire and anthropometry measurement will be conducted during first and at the end of the intervention. The effectiveness and perceptions as well as experiences of mobile health intervention will also be assessed.
Behavior modification programs hold promise for increasing levels of physical activity (PA) for individuals who are insufficiently active. However, existing interventions, which typically prescribe uniform PA goals across participants, are limited by their insensitivity to changing individual needs and circumstances over time. An alternative approach is to continuously adjust goal difficulty to match fluctuations in individual performance, or adaptive goal-setting (AGS), which evidence suggests may more effective for increasing PA than non-adaptive approaches. Still, no prior studies have examined the psychological mechanisms targeted by AGS, which limits the ability to further refine and disseminate this technique. In this exploratory study, several candidate mechanisms of AGS (expectancy beliefs about goals, perceived value of goals, affective appraisal of goals, implicit attitudes towards exercise) will be examined. Adult participants interested in increasing their level of physical activity (N = 36) will be randomized to receive 6 weeks of either adaptive goal-setting (AGS) or non-adaptive, static goal-setting (SGS) as part of a remote, low-intensity PA intervention. The primary aim of the study will be to evaluate the hypothesis that AGS, as compared to SGS, results in greater increases over time to four hypothesized psychological mechanisms. The secondary aim will be to evaluate whether post-intervention increases to any among these three mechanisms mediate the relationship between intervention type (AGS vs. SGS) and increases to PA over the course of the intervention.
This repository will consist of clinically derived data and images of patients with congenital heart disease from the time of birth until they have reached one of the following outcomes: transition to outpatient care that has not resulted in readmission in 30 days after hospital discharge, death, weaned off supplementary feeding tubes, or clinic visits demonstrating clinical stability with their primary cardiologist, or full bi-ventricular cardiac surgery palliation with improvement in hemodynamic stability. This information will be collected for clinical evaluation and diagnostic purposes and will continue to be stored for potential future research application.
Background: Insufficient physical activity is one of the leading risk factors of death worldwide. Behavioral treatments delivered via smartphone apps, hold great promise for helping people engage in healthy behaviors including becoming more physically active. However, similar to 'face-to-face' treatments, effects typically do not seem to be sustained over longer periods of time. Methods: the investigators developed a smartphone application that uses different types of motivational and feedback text-messaging to motivate individuals to increase physical activity. Here, participants are randomized to either receive messages by a uniform random distribution (n=50), or chosen by a reinforcement learning algorithm (n=50), which learns from daily participant data to personalize the frequency and type of motivation of messages. Objectives: In the current study, the investigators examine this application in undergraduate and graduate students at the University of California, Berkeley. The investigators compare whether participants in the uniform random or adaptive group have higher increases in steps during the study. The investigators also examine the effect of the different types of messages on step counts. Further the investigators assess the influence of patient characteristics, such as socio-demographic, psychological questionnaire scores and baseline physical activity on the effect of the adaptive arm and effectiveness of the messages. Finally, the investigators assess participant qualitative feedback on the text-messaging program, through feedback provided via questionnaires, text-message and phone interviews.
The aim of this study is to explore the overall effectiveness of interventions using mobile health care to improve disease perception, self-efficacy, anxiety, cardio-pulmonary fitness for patients with acute myocardial infarction.