Mobile Applications

This is a single institution feasibility study of the updated RestoreMe app. The investigators plan to recruit 150 participants to this study with participants being recruited either prior to the initiation of their curative treatment or during and after completion of their cancer therapy. This design will allow the investigators to assess the feasibility of using the RestoreMe app in both the active treatment setting and follow up/survivorship setting. Information gathered from this feasibility study will inform future trial design for prospective intervention using the RestoreMe app.

The goal of this clinical trial is to learn if a 12-week hybrid exercise and education program (EmpowerHer) works to improve health-related quality of life in breast cancer survivors aged 35 to 65. The main questions it aims to answer are: * Does the EmpowerHer program improve the everyday quality of life of participants? * Does the program lower fatigue, anxiety, and depression while raising physical fitness? Researchers will compare the EmpowerHer program to usual medical care to see if the program works better to help survivors recover. Participants will: * Use a mobile application at home at least twice a week for structured exercise. * Read short educational modules on the mobile application about health after cancer. * Attend weekly in-person motivational group sessions with a program facilitator. * Complete health and physical tests at the start, at 12 weeks, and 3 months later.

Physical inactivity increases substantially after age 60 and represents a major public health challenge in older adults, as it is linked to increased risk of functional and cognitive decline and aging problems. Walking is one of the most accessible and recommended forms of light-to-moderate physical activity for this population. However, promoting sustained engagement in walking remains difficult, as traditional informational approaches often fail to activate personally meaningful motivations. This study tests whether persuasive affective messages can promote walking by leveraging self-continuity, meaning the use of autobiographical memory to maintain the sense of being the same person across time and contexts, connecting the past, present, and future self. Self-continuity is associated with psychological resources such as self-esteem, self-efficacy, and a sense of meaning in life. The affective mechanism that sustains self-continuity is nostalgia: both promote emotional and behavioral regulation and support goal achievement. Building on this framework, the present trial examines whether activating feelings of self-continuity and positive nostalgic memories can strengthen older adults' motivation to engage in walking behavior. In addition, the study investigates whether combining self-continuity messaging with a self-regulation strategy (daily step monitoring) enhances intervention effectiveness. Self-monitoring is a well-established behavioral technique that supports goal pursuit by increasing awareness and feedback. Using a 4-arm randomised controlled factorial design, the study compares the effects of self-continuity messages, step-monitoring reminders, their combination, and an active control condition on walking behaviour and its psychological determinants. A national sample of 1,000 Italian adults aged 65-74, recruited through a certified panel provider (Ipsos) and balanced for age, gender, and geographic region, will be randomly assigned to one of the four conditions. All participants will receive one message per day through a mobile application over a 14-day period. Participants in the step-monitoring conditions will also be asked to track and report their daily step count using a pedometer application. Behavioral, psychological, and process measures will be collected at baseline, post-intervention, and follow-up. The study therefore aims to provide experimental evidence on the role of self-continuity as a motivational driver of health behaviour change, and to clarify whether combining affective and self-regulatory strategies enhances intervention effectiveness in older adults.

Aim: The aim of this study is to examine the effect of a mobile application, developed based on the Thompson \& Thompson bioethical decision-making model, on the ethical decision-making and ethical sensitivity of nursing students. Method: This randomized controlled trial, planned with pre-, post-, and followup tests, will be conducted at Necmettin Erbakan University Faculty of Nursing during the 2026-2027 academic year. The study population will consist of 4th-year students enrolled in the Necmettin Erbakan University Faculty of Nursing during the 2026-2027 academic year. The sample size was statistically calculated using the G Power 3.1.9.7 software package. The total sample size was calculated as 82. To prevent data loss, the sample size was increased by 10%, resulting in a sample size of 90 students. Students in the intervention group will use the mobile application. Students in the control group will conduct face-toface case analysis. The research data will be collected using the "Introductory Information Form", "Ethical Dilemma Test in Nursing" and "Adapted Ethical Sensitivity Scale for Nursing Students". The data will be analyzed using the IBM SPSS 22 software package. Conclusion: As a result of the research, it is predicted that the mobile application developed based on the Thompson \& Thompson bioethical decision-making model will have a positive effect on the ethical decision-making and sensitivity levels of nursing students.

This study is a single-center micro-randomized trial, aiming to examine the effects of two theory-driven reminder strategies on adherence to repeated, image-based meal logging in adults age 45 and older. Three times daily, participants are automatically randomized to receive one of three reminder messages prior to each habitual mealtime. The main research questions the trial aims to answer are: * Do loss-framed reminders (emphasizing loss of a daily financial reward for not logging) increase meal logging adherence in the two hours following a reminder, compared to a neutral reminder? * Do logging consistency reminders (providing feedback on recent logging streaks) increase meal logging adherence in the two hours following a reminder, compared to a neutral reminder? * Do the effects of loss-framed and logging consistency reminders differ from each other? Primary aim: To estimate the proximal effect of each reminder type on whether a participant logs a meal within two hours of receiving a reminder. Secondary aim: To examine whether within-person physiological patterns (e.g., heart rate variation) moderate response to reminders, with the goal of identifying physiological markers of receptivity to behavioral prompts. The trial aims to enroll 200 adults aged 45 and older. Participants attend a baseline visit for onboarding, consent, and device setup, followed by a 28 day remote intervention period during which they should photograph their meals three times daily (breakfast, lunch, dinner) and wear a smartwatch and smart ring continuously. Prior to each mealtime, they receive an automatically randomized reminder message. Participants earn a daily financial reward contingent on completing meal logging for that day. Note: This trial was registered retrospectively as enrollment began prior to registration. However, registration was completed before data collection was finished and before any data analysis was conducted.

The goal of this clinical trial is to examine how daily behavioral patterns in early pregnancy, including sleep, physical activity, and meal timing, influence continuous glucose dynamics and subsequent risk of gestational diabetes mellitus (GDM) in pregnant women without pre-existing diabetes. The main questions it aims to answer are: 1. Do early-pregnancy chronobehavioral patterns (e.g., irregular sleep, night eating, and unstable rest-activity rhythms) relate to continuous glucose patterns measured using continuous glucose monitoring (CGM)? 2. Can early behavioral and CGM-derived measures predict glucose regulation and metabolic outcomes later in pregnancy (24-28 weeks)? 3. Does real-time self-monitoring using wearable devices and food logging improve glycemic outcomes compared to usual care? This study is a prospective, nested randomized pilot trial embedded within the ongoing Towards Optimal Fertility, Fathering and Fatherhood studY (TOFFFY) cohort (NCT06293235) at KK Women's and Children's Hospital, Singapore. A total of 140 pregnant women without pre-existing diabetes, recruited at ≤13 weeks gestation, will be randomized in a 1:1 ratio to either a pilot arm (wearable-based self-monitoring) or a control arm (usual care). Participants in the pilot arm (n=70) will undergo intensive behavioral and metabolic monitoring over a 14-day period in early pregnancy, including continuous glucose monitoring using a CGM device, wrist actigraphy to assess sleep-wake and rest-activity patterns, and an AI-supported mobile application to record meal timing and dietary intake. Participants will have real-time access to their glucose data and behavioral feedback, enabling self-monitoring and potential behavioral adjustments.

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.

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.

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.

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"\[Mesh\] )

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.