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Showing 1-20 of 38 trials
NCT05336188
The proposed clinical trial would evaluate the use of smartphone applications ("apps", which have well-established efficacy in reducing cigarette and alcohol use) to prevent relapse among patients receiving medication-assisted treatment for opioid use disorder. In addition to standard app-based self-monitoring of drug use and personalized feedback, project innovation is enhanced by the proposed use of location-tracking technology for targeted, personalized intervention when participants enter self-identified areas of high risk for relapse. Furthermore, the proposed sub-study would use longitudinal functional neuroimaging to elucidate the brain-cognition relationships underlying individual differences in treatment outcomes, offering broad significance for understanding and enhancing the efficacy of this and other app-based interventions.
NCT06860425
The overarching purpose of this study is to assess whether patients will use the app throughout treatment on a regular basis, as the ultimate goal is to provide an educational platform that can impact patient behaviors and understanding towards health.
NCT07395557
Objective: This randomized controlled trial aims to examine the effects of education and counseling delivered through a mobile application based on the Pender Health Promotion Model on symptom severity, quality of life, and sleep quality in menopausal women with urinary incontinence. Methods: The study was conducted at Istanbul Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, targeting women who presented to the urology outpatient clinic and met the inclusion criteria. The sample consisted of 82 participants, with 41 women in the intervention group and 41 in the control group. To account for potential dropouts during the mobile intervention, the sample size was increased by 20% above the calculated requirement. Data collection tools included the Descriptive Information Form, Incontinence Quality of Life Questionnaire (I-QOL), Incontinence Severity Index (ISI), International Consultation on Incontinence Questionnaire - Short Form (ICIQ-SF), and Pittsburgh Sleep Quality Index (PSQI). The intervention group received an 8-week mobile application-based education program developed in line with the Pender Health Promotion Model. Additionally, participants in the intervention group were contacted twice weekly by phone for counseling and support. The control group received no educational intervention but was assessed with pre-test and post-test measurements. Results: Data were analyzed using descriptive statistics, independent and paired sample t-tests, one-way and repeated measures ANOVA, Pearson correlation analysis, and chi-square tests for group homogeneity. The study aims to determine whether the mobile application-based intervention significantly improves urinary incontinence symptoms, quality of life, and sleep quality compared to the control group. Conclusion: This study may provide evidence supporting the use of mobile health interventions based on health promotion models like Pender's to enhance the management and overall well-being of menopausal women with urinary incontinence.
NCT07396142
This is a prospective, single-center, exploratory study designed to evaluate the accuracy, user engagement, and user experience of the BaiXiaoAi Companion AI. Upon signing the informed consent form and enrollment, a dedicated "Doctor-Nurse-Patient-AI" WeChat group will be established for each participant. Within the group, the BaiXiaoAi AI will provide timely responses based on patient communications and proactively push information regarding disease management and patient education.
NCT07248046
This study will compare different combinations of fertility signs (cervical mucus (CM), luteinizing hormone \[LH\], pregnanediol glucuronide \[PDG\], and basal body temperature \[BBT\]) to determine which are most reliable for identifying ovulation and luteal phase length. Thirty existing Premom App users will track daily observations for three menstrual cycles. Participants will record mucus, perform urine tests, upload test strip photos to the Premom App, and measure BBT. Both participant readings and AI-assisted app readings will be analyzed. The main goal is to find which marker pairings give the most accurate picture of ovulation timing and luteal phase length. Secondary goals include understanding ease of use, the number of tests required, and whether the app improves accuracy.
NCT07288918
Organ transplantation is the most effective method for treating end-stage organ failure and allows patients on the verge of death to continue living. Organ transplantation involves removing all or part of an organ or tissue from the body and transplanting it to suitable patients experiencing failure. Therefore, transplants are performed to treat diseases, save lives, improve patients' quality of life, and extend their life expectancy. The World Health Organization (WHO) defines quality of life as individuals' perceptions of their goals, expectations, standards, and concerns regarding their place in life, within the context of the culture and value systems they live in. Achieving an adequate quality of life after transplantation is considered an indicator of therapeutic success, which is increasingly important to measure by the transplant care team. Individuals who undergo transplantation and their families often perceive transplantation as a rebirth. However, 30% to 40% of patients report no better health-related quality of life after kidney transplantation compared to dialysis. This is attributed to frequent checkups and monitoring, new medications and their strict dosing schedules, and the unexpected discomfort of potential side effects. Even after the psychological challenges of waiting and the joy of a successful transplant, transplant recipients take on new responsibilities. Problems such as accepting transplantation risks, acute and chronic organ rejection, and adherence to lifelong medication regimens can arise. Persistent side effects of various immunosuppressive agents, adaptation and maintenance of the new organ, and uncertainty about the future due to rejection of transplanted organs and the subsequent re-transplantation process can all lead to physical and psychological distress. Immunosuppressive therapy represents a lifelong endeavor for transplant recipients. These medication regimens involve complex protocols, not only due to the number of pills required, but also due to blood level monitoring, side effects, and frequent dose adjustments to avoid rejection. Non-adherence to immunosuppressant regimens has been shown to be high in organ transplant patients. Non-adherence rates in this population are reported as high as 65%. The highest immunosuppressant non-adherence rate is found in kidney transplant recipients, with a prevalence of 36-55%, while this rate is 15-40% in liver transplant recipients. Studies have found that 16-36% of graft losses are associated with non-adherence. The ever-growing population of transplant recipients and the limited number of transplant centers, particularly those living farther away, necessitate innovative healthcare delivery models to monitor and improve the use of transplant center resources. With the advent of smartphones and mobile medical devices, mobile health has become a popular way for healthcare professionals to manage patient care. Mobile health can serve as an adjunct method for delivering health education information, sending reminders to patients to take their medications, and implementing online education. In particular, converting paper-based education to video format can significantly increase knowledge on various topics. It is necessary to address the problems and challenges patients face after discharge and the practices that can potentially address these issues. These results suggest that healthcare professionals can do more to provide comprehensive care to patients, promote successful home-based treatment regimens, symptom control, and quality of life.
NCT06862193
As many as 25% of pregnant women report mental health problems such as depressiveness and anxiety. This is a major concern as mental illness during pregnancy can have severe and long-lasting consequences for the pregnant woman, the baby, as well as the partner. Digital interventions (e.g., apps) have shown to be promising in promoting mental wellbeing, at scale, however, the majority of tools have been developed and evaluated in a general population rather than tailored for pregnancy. The objective of this trial is to investigate the effectiveness of a new digital tool (HealthyMoms4MentalHealth-app) on mental health outcomes during the perinatal period.
NCT07212764
Familial Mediterranean Fever (FMF) is an autoinflammatory disease characterized by recurrent episodes of fever, abdominal pain, and serositis. FMF attacks often present with fever and systemic symptoms resembling infectious diseases, making it challenging in clinical practice to distinguish between an attack and an infection. Moreover, infections are known to trigger FMF attacks; however, the number of prospective studies evaluating this association remains limited. In the current literature, the frequency of attacks and triggering factors in FMF patients have mostly been assessed through retrospective chart reviews. Such methods are prone to incomplete or recall-based data regarding the onset of attacks and infection-related symptoms. With the growing availability of digital health applications, it has become possible to record disease symptoms in real time and on a regular basis, providing more reliable data for both clinicians and researchers. The present study aims to prospectively evaluate the relationship between infections and disease flares in FMF patients by systematically recording infection symptoms and attack characteristics through a mobile application. This approach is intended to achieve a better understanding of the infection-flare association, improve patient management, and prevent unnecessary treatments. In addition, the feasibility of mobile application-based patient monitoring will be assessed, and its potential contribution to routine clinical practice will be explored.
NCT07234929
The study titled "Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance with Follow-up Tests after Abnormal Chest X-ray Findings Interpreted by Artificial Intelligence" aims to evaluate whether digital communication can enhance patient adherence to follow-up evaluations after lung disease screening in Vietnam. Lung cancer and tuberculosis (TB) remain leading causes of morbidity and mortality in Vietnam. Despite advances in screening technologies, including low-dose CT and AI-assisted chest X-rays, many patients fail to follow up after receiving abnormal results, resulting in delayed diagnosis and treatment. Communication barriers, low health literacy, and limited consultation time are key factors behind this gap. Digital health tools such as chat-based mobile applications offer potential to strengthen post-screening engagement and improve health outcomes. This randomized controlled trial will be conducted at Nhan Dan Gia Dinh Hospital in Ho Chi Minh City between October 2025 and October 2026. Participants aged 40-62 years, who undergo routine chest X-ray screening interpreted by AI software (qXR by QURE.AI), will be randomly assigned to either the intervention or control group. All participants must have an active Zalo account. In the intervention group, participants will receive their AI-interpreted results and educational guidelines for lung cancer or TB through the research team's Zalo account. The guideline covers disease overview, diagnostic methods, follow-up recommendations, and lifestyle guidance. Participants may ask questions directly to doctors specializing in nutrition, respiratory medicine, and pulmonary pathology, with guaranteed responses within 4 hours during working hours and 10 hours after hours. Messages are also sent via email as backup. The hospital's IT department oversees the Zalo platform to ensure data security. In the control group, participants will receive only the doctor's conclusion and brief advice via Zalo and email. They will be invited to connect with the hospital's official Zalo account for general inquiries but will not receive further digital consultation. Follow-up calls will assess compliance. For positive or suspected cases, research staff will call one month after result notification to confirm whether participants completed follow-up tests. For negative cases, calls will occur at six months to check for new symptoms or additional imaging. Structured questionnaires will document reasons for compliance or noncompliance. The study does not provide additional diagnostic services; all follow-up costs are covered by participants or their health insurance. The primary outcome is the rate of compliance with recommended follow-up tests. The secondary outcome measures participants' responsiveness to follow-up phone calls. Statistical analyses will compare compliance rates between groups using chi-square or Fisher's exact tests and risk ratios with 95% confidence intervals. Sample size calculations estimate that 2,692 participants are required to detect a 10% improvement in follow-up compliance (from 85% to 95%) with 80% power and 5% significance. Randomization will use REDCap software with block sizes of 2-8. Interviewers conducting follow-up calls will be blinded to group allocation. Ethical approval will be obtained from the Nhan Dan Gia Dinh Hospital Ethics Committee, and the study will be registered at ClinicalTrials.gov. Data confidentiality will be strictly maintained, with all digital records password-protected and accessible only to authorized research members. This project is the first randomized controlled trial in Vietnam to evaluate the effectiveness of chat-based mobile consultation in improving post-screening compliance for lung diseases. It leverages Vietnam's high mobile phone penetration and the popularity of Zalo to create a scalable model for patient engagement. Expected benefits include improved communication, increased awareness of lung cancer and TB, reduced loss to follow-up, and faster diagnostic confirmation. The findings will provide scientific evidence for integrating digital communication into screening programs and contribute to national efforts to improve early detection and management of lung diseases.
NCT06905119
The study focuses on patients who require outpatient infusion of therapy ("Infusions, Intravenous"\[Mesh\]) "Administration, Intravenous"\[Mesh\] ("Home Infusion Therapy"\[Mesh\]) "Parenteral Nutrition, Home"\[Mesh\] via a peripherally inserted central catheter (PICC) ("Central Venous Catheters"\[MeSH\] "Catheterization, Central Venous"\[MeSH\] "Catheterization, Peripheral" \[MeSH\] "Vascular Access Devices"\[Mesh\] )
NCT07043933
This randomized controlled trial aims to evaluate the impact of a mobile-friendly, web-based hydration tracking application (named "SIVI") on hydration-related knowledge, attitudes, and behaviors in older adults. Inadequate fluid intake is a common and modifiable risk factor for dehydration in the elderly, leading to increased morbidity, hospitalizations, and functional decline. However, many older individuals forget to drink fluids or face barriers such as fear of incontinence, mobility limitations, or cognitive challenges. This study will include 70 community-dwelling older adults aged 65-84 years, recruited from a Family Health Center. Participants will be randomly assigned to either the intervention or control group. The intervention group will use the SIVI application for two months. The app is specially designed for older adults and includes features such as personalized fluid goals, reminders, hydration education modules, feedback, and a user-friendly interface with large fonts and high contrast. Participants will log their daily fluid intake, receive motivational messages, and access videos and information about healthy hydration habits. A water bottle will be provided to standardize measurement across groups. The control group will receive only routine care. Both groups will complete questionnaires measuring demographics, hydration knowledge, attitudes, behaviors, and fluid consumption habits at baseline, one month, and two months. Data collection will be conducted face-to-face by the researcher, and analysis will be performed using SPSS 22.0. Statistical tests will include descriptive statistics, Shapiro-Wilk for normality, chi-square for categorical data, and t-tests and ANOVA for comparisons over time. The results are expected to show that the SIVI application improves older adults' hydration knowledge, fosters positive attitudes, and promotes healthy fluid intake behaviors, thus supporting self-management of hydration and potentially reducing dehydration-related health risks.
NCT06037603
The investigators previously developed a virtual 14-day dual-task walking exercise program and tested its feasibility with individuals with mild traumatic brain injury (mTBI) history. The investigators will test the feasibility and efficacy of a mobile app-version (Uplode) of the same 14-day exercise program (Brain \& Walk Exercise Every Day \[BraW-Day\]), on cognition, sensorimotor, and other functions in a group of voluntary young adults with an mTBI between last three months to two years, including student athletes, Veterans, and ethnic minorities.
NCT06901778
This study is a single-center, prospective, randomized controlled trial targeting endometrial cancer (EC) patients undergoing fertility-sparing treatment at Peking University People's Hospital from March 2025 to March 2027. The aim is to evaluate the efficacy of an intelligent mobile application (APP) based on the Adaptive Behavioral Intervention (ABI) framework in weight management for obese or overweight endometrial cancer patients receiving fertility preservation therapy. Additionally, the study seeks to explore its potential advantages in improving body mass index (BMI), tumor regression, and glucose and lipid metabolism profiles.
NCT06582212
Forty percent of people living worldwide with Parkinson's disease (PD) are women. Twenty percent of patients have PD onset under the age of 60 years, a time when women may encounter significant caregiving responsibilities along with occupational and other competing demands. Studies with surveys of women with PD (WwPD) have reported worsening of PDrelated symptoms especially in the week prior and the week of menses. However, prospective evidence is scarce and clinical guidelines to manage this issue do not exist. As a result, care is either non-existent or fragmented. The investigators propose a French multicentre prospective pilot study to capture changes in PD symptoms in relation to the stages of the menstrual cycle aiming at reducing hormonal related worsening in PD symptoms through neurologist intervention and/or patient selfmanagement. Digital technology will remotely enable patient reported outcome (PRO) tracking through the My Moves Matter app changes in PD symptoms during several months. This information will then help neurologists to customize treatment. Changes in motor symptoms will also be highlighted by tracking through the use of a wearable device (PDMonitor) to objectively detect motor changes together with the app. This will further support the reliability of the app. This study will provide evidence for the impact of the menstrual cycle on PD and help neurologists and patients to better manage PD symptoms related to these hormonal changes.
NCT06429631
Neurogenic bladder is a condition that occurs due to nerve damage or congenital problems and causes urination disorders. Nowadays, in individuals diagnosed with neurogenic bladder, Clean Intermittent Catheterization is often used to evacuate the urine accumulated in the bladder. Clean Intermittent Catheterization(CIC) is a simple, safe and effective method in which the catheter is placed through the meatus. In this application, the catheter is removed without waiting after urine drainage is achieved. This process is usually performed on its own. Since IC(Intermittent Catheterization) is a procedure performed on the bladder, it may cause some complications. IC application must be performed successfully to prevent or reduce complications. The success of the technique largely depends on patient education and follow-up. Sometimes patients may not be able to come to the hospital for follow-up and feedback after IC training. Innovations are needed to ensure the continuation of distance education so that the education of patients who cannot come to the hospital is not incomplete. The literature includes brochures, videos, websites and some mobile applications for IC training. However, no application has been found that monitors patients' urine amounts. This research was planned to examine the effect of clean intermittent catheterization training given via mobile application to individuals with spinal cord injury on their quality of life and compliance.
NCT06688513
SNAP ON II is a two-arm, parallel-group, multi-center, randomized trial for patients diagnosed with cancer who are planning to undergo expected uncomplicated surgical intervention for their cancer. The study seeks to test whether a mobile app (developed by PistevoDecision) that identifies and connects patients to resources to meet their basic needs (e.g., housing, food, transportation, etc) ccan improve patient outcomes. Prior to their scheduled surgery, patients will download a mobile/web app that asks about their social needs. Then, the treatment group will be connected to community-based resources through FindHelp and the control group will receive access to the Centers for Disease Control tool called Lets Talk: Sharing Info About Your Family Cancer Risk.
NCT06653049
The PERFORM-RL study (Personalised Exercise Prescription for Remote Fitness Using Reinforcement Learning) was a 12-week randomised crossover trial designed to evaluate the effectiveness of an app-based exercise prescription system powered by reinforcement learning (RL). The study aimed to investigate whether exercise sessions tailored by RL would lead to greater user satisfaction and higher exercise intensity compared to generic, non-personalised exercise sessions. The trial enrolled 62 participants (27 males, 42 females; mean age 42 years) who were randomly assigned to alternate between two conditions: an RL-driven intervention, which personalised exercise sessions based on user preferences and feedback, and a control condition with non-tailored, generic exercise sessions. Participants were instructed to complete three exercise sessions per week using the i80 BPM app, which offered a variety of video-guided exercises. The RL model customised these sessions based on user feedback, including satisfaction and perceived intensity, with the goal of optimising future sessions. The primary outcome was user satisfaction, measured via the Physical Activity Enjoyment Scale (PACES-8) after each session. Secondary outcomes included exercise intensity, as assessed by the Borg Rating of Perceived Exertion (RPE) scale, and heart rate data collected through a Samsung Galaxy Fit 2 smartwatch. The trial was conducted in Dublin, Ireland, and approved by the UCD Human Research Ethics Committee (LS-21-34-Tragos-Lawlor). Participants provided informed consent and were blinded to their group allocation. The trial was not registered prospectively, but steps are being taken for retrospective registration.
NCT03804840
Marijuana use, for both recreational and therapeutic purposes, is becoming increasingly common as states remove restrictions on use. The increased use raises new concern about the safety of this drug, including its ability to impair basic cognitive and psychomotor tasks, and whether the users are aware of their impairment. We propose to design a simple performance test that users can use in the field, using a cell phone, to assess their level of impairment relative to their own drug-free state. In this preliminary study, we will compare participants' simple task performance after a known dose of delta-9-tetrahydrocannabinol (THC), or placebo, administered under double-blind conditions. In our app the participants will be asked to gauge their own perceived level of impairment (as determined by self-ratings and judgments of impairment) as well as their actual impairment (as gauged by the app), providing important feedback and training about their ability to detect impairment.
NCT06427525
The aim of the study is to evaluate the effectiveness of the Child Obesity Program (COP), which is a school-based, parent-based, weight management program aimed mobile application at preventing overweight and obesity in childhood.
NCT04787783
In this prospective two-arm study, the investigators will evaluate the incidence of suboptimal preoperative assessments when the participants are evaluated through a web based application (Preanestes@s) versus the traditional outpatient interview.