Self Care

Background: Hemodialysis is the most common treatment modality in patients with chronic kidney disease. The majority of people with dialysis have a below-average quality of life. Adherence to diet and fluid intake, engagement in physical activity, and feeling blue and anxious will all affect quality of life. Nurses play a key role in patient education and behavioral support. Nurse-led interventions, especially educational programs (laptop-based), combined with reminders and educational materials, may improve patients' knowledge, adherence to treatment, and improvement in quality of life. Methodology The study will adopt the quantitative research design .The study will be conducted in a single private tertiary care center. First, the day and shift were randomized, and participants belonging to the particular day and shift will be considered as Group A and Group B. After this, the eligibility criteria will be assessed, and the baseline assessment will be done. A convenient sampling technique will be used to select the study sample. The sample will be a minimum of 56 in each arm. Therefore, altogether there will be at least 112 participants. One group will receive nurse-led interventions (Group A), and the control group (Group B) will receive usual routine care. Nurse-led intervention comprises 4 laptop-based educational and counseling sessions, 4-6 telephone reminders, and the distribution of the booklet on self-care. All four sessions will be conducted by the specialist nurse or nurse with at least one year of working experience in a dialysis unit. Each session will be conducted once every one to two weeks. The primary outcome will be self-care adherence. The self-care adherence will be measured by direct assessment of clinical parameters (interdialytic weight gain) of adherence and subjectively through face-to-face interviews. Patients' medical records will be reviewed. The secondary outcome will be the quality of life score. An independent assessor (enumerator) will measure the outcome at T1 and T2, which will be done at 2 months (T1) and 6 months (T2) from the baseline. Analysis will be done through the Stata software version 14. Descriptive statistics like frequency, percentage, mean±sd, median, inter quartile range are based on the nature of the data. Similarly, inferential statistics such t t-test and linear regression analysis will be used to find out the difference in mean score between two groups. The findings will be considered statistically significant at level p\<0.05 at 95% CI. The strength of this study will be the inclusion of both clinical and subjective parameters of adherence and assessment of quality of life. Use of a qualitative approach in explaining the factors, like appropriateness of the education and counselling session, along with the facilitators and barriers to adherence, will further help to modify the interventions. If the method is found to be effective, this will be an effective measure to improve quality of life cost-effectively. This can be continued on a regular basis in the same center and can be utilized in others, too.

This proposed study aims to evaluate the implementation of integrating the existing services in tertiary education institutions with the JCTH+ platform. The study aims to evaluate the efficacy of JCTH+ on students' mental health outcomes as compared to service as usual, and to assess the cost-utility of the platform to determine whether the benefits of implementing the platform justify the costs associated. It is hypothesized that participants who receive integrated self-help and support services will show (H1) a greater reduction in mental health symptoms, and (H2) better mental well-being compared with participants in the control condition, i.e. service-as-usual (SAU).

This study is a pilot randomized controlled trial designed to evaluate the feasibility, acceptability, usability, and preliminary efficacy of a mobile health (mHealth) educational self-management intervention for individuals with heart failure during the transition from hospital to home. Participants will be randomly assigned in a 1:1 ratio to receive either usual care alone or usual care plus the mHealth intervention. The mobile application is designed to support heart failure self-care through tailored educational content, symptom self-monitoring, automated feedback, behavioral reinforcement messages, caregiver involvement, and secure communication with the healthcare team. The application is educational in nature and does not replace standard medical treatment. A total of 30 participants will be enrolled and followed for 60 days after hospital discharge, with outcome assessments conducted at 30 and 60 days. Primary outcomes focus on feasibility, technology acceptance, and usability of the intervention. Secondary exploratory outcomes include changes in self-care behaviors, functional status, heart failure related hospital readmissions and natriuretic peptide levels. Results from this pilot study will inform the design of a future definitive randomized controlled trial.

Heart failure (HF) is a chronic and progressive condition that significantly affects patients' quality of life and increases the burden on family caregivers. Many patients struggle with self-care, including medication adherence, diet, and symptom monitoring. The REMIND HF (REmote Motivational INterviewing for Disease Management in Heart Failure) study aims to evaluate the effectiveness of remote motivational interviewing (MI) as a behavioral intervention to improve disease management and self-care among heart failure patients and their informal caregivers. The intervention consists of a series of online motivational interviews conducted by trained nurses over a 12-month period, focusing on lifestyle modification, self-monitoring, and patient-caregiver cooperation. The study will be conducted at the Wroclaw Medical University and collaborating centers. It will enroll 300 patients with heart failure (The New York Heart Association Functional Classificaion - NYHA class: II-IV) and their primary caregivers. Outcomes will include self-care behaviors, quality of life, psychological well-being, and health service utilization. The results will contribute to developing accessible, patient-centered models of heart failure management based on telehealth and behavioral support.

This study will test whether a nursing program using podcasts and videos can help women feel better and take better care of themselves during the climacteric (the stage leading up to and following menopause). Women between 42 and 58 years old who attend public sexual and reproductive health clinics in the Metropolitan South Health Region of Barcelona (Sant Boi, Sant Feliu, and Cornellà) will be invited to participate. Participants will be randomly assigned to one of two groups: Intervention Group: will receive access to podcasts and videos offering practical advice and strategies to improve emotional well-being and self-care. Control Group: will receive standard care. All participants will complete questionnaires before and after the program to assess symptoms, mental health, and satisfaction with self-care. Statistical methods will be used to compare the results between both groups and determine whether the program produces a significant difference. The aim of the study is to demonstrate that this digital nursing intervention is effective and could be implemented more broadly in healthcare settings.

This randomized controlled trial aims to evaluate the effectiveness of an Artificial Intelligence-supported mobile education application designed to enhance self-care behaviors, arteriovenous fistula (AVF) care practices, and key biochemical parameters among adult hemodialysis (HD) patients. Chronic Kidney Disease (CKD) and its most common renal replacement therapy, hemodialysis, impose a substantial physical, psychological, and socioeconomic burden on patients. HD patients frequently experience fatigue, pain, cramping, sleep disturbances, thirst and fluid restriction challenges, dietary limitations, AVF-related complications, and emotional distress. These difficulties highlight the importance of strengthening patients' self-care abilities and promoting active involvement in disease management. Despite the prevalence of mobile health (mHealth) technologies in chronic disease management, existing applications for HD patients remain limited, and none have integrated personalized artificial intelligence-based educational support. The absence of AI-driven patient education represents a significant gap in nursing science and digital health innovation. This project addresses that gap by developing and testing a structured, evidence-based mobile education program supported by artificial intelligence, designed specifically for HD patients. The study will enroll 76 eligible hemodialysis patients from Bitlis State Hospital and Bitlis Tatvan State Hospital. Participants will be randomly assigned to either the intervention group or the control group using simple randomization. The intervention group will receive access to the AI-supported mobile application for six weeks, which includes modules on kidney function, CKD and treatment options, symptom management, dietary adherence, fluid management, treatment adherence, and AVF care. Each module incorporates written content, videos, visuals, voice-supported reading features, and an integrated "Ask a Question" function allowing patients to communicate directly with the research team. The control group will receive routine clinical care without additional intervention. The artificial intelligence component will assist with content personalization, monitoring of patient engagement, data storage, automated reminders for non-active users, and supportive feedback based on learning progress and biochemical trends. The development of the mobile application will be guided by expert opinions from nephrology specialists, dialysis nurses, academicians, and dietitians. Readability of educational materials will be assessed using the Ateşman Readability Formula. A pilot study will be conducted prior to the trial to evaluate usability using the Web Analysis and Measurement Inventory (WAMMI). Data collection will include a Patient Identification Form, the Hemodialysis Arteriovenous Fistula Self-Care Behavior Scale, the Hemodialysis Self-Management Scale, and a Biochemical Parameters Tracking Form. Pre-test data will be collected before the intervention; post-test data will be collected at the end of the six-week intervention period. Biochemical parameters will include BUN, creatinine, albumin, potassium, phosphorus, hemoglobin, uric acid levels, Kt/V, and dry weight, obtained from routine clinical records without additional blood sampling. The primary outcomes will assess changes in self-care and self-management behaviors based on validated scales. Secondary outcomes will examine changes in biochemical parameters between the intervention and control groups. Data analysis will be performed using SPSS, employing descriptive statistics, normality testing, and appropriate statistical comparison tests, with significance set at p \< 0.05. Ethical approval will be obtained from the appropriate institutional ethics committee, and written informed consent will be secured from all participants. Data confidentiality will be ensured using encrypted login systems and secure storage processes. This trial is expected to contribute significantly to the scientific literature by being the first AI-supported mobile education intervention tailored for hemodialysis patients. Anticipated benefits include improved self-care behaviors, increased patient autonomy, reduced AVF complications, better adherence to dietary and fluid restrictions, and improved biochemical outcomes. Broader impacts of the project include the potential reduction of hospitalization rates, decreased healthcare costs, increased quality of life for HD patients, and the establishment of a digital model that can be adapted for other chronic disease populations. Ultimately, this study aims to demonstrate that integrating artificial intelligence with mobile health education can create a transformative approach to patient empowerment, clinical care, and chronic disease management within the field of nephrology and nursing.

This study was conducted to determine the effects of peer education provided to teenage girls on genital hygiene behaviors and self-care agency. The study was conducted with a randomized controlled design with a pretest-posttest control group. The study was conducted with female students studying at Kahramanmaraş Sütçü İmam University Technical Sciences Vocational School between October and November 2025. The research population consisted of all female students at the school, and the sample consisted of students who agreed to participate in the study, signed the consent form, and met the inclusion criteria. Data were collected using a "Personal Information Form," a "Genital Hygiene Behaviors Scale," and a "Self-Care Agency Scale." Peer education was administered to the intervention group, while the control group received no training.

The goal of this clinical trial is to learn if the Nurses' Stress Self-Care Educational Program (NSSCEP) can reduce burnout and occupational stress in Jordanian pediatric oncology nurses. The main questions it aims to answer are: 1. Does NSSCEP reduce symptoms of burnout in pediatric oncology nurses? 2. Does NSSCEP improve stress management skills among pediatric oncology nurses? Researchers will compare nurses participating in the NSSCEP to a control group receiving a general technical skills program to see if NSSCEP reduces burnout and improves stress management. Participants will: 1. Attend four educational sessions over one month, focusing on stress recognition, coping strategies, and resilience-building techniques 2. Complete weekly checklists to track their application of stress management skills 3. Participate in pre- and post-intervention surveys to assess burnout and stress levels

The aim of the study is to evaluate the effectiveness and implementation of the mobile health (mHealth)-assisted, person-centred care (PCC) self-care support programme for homebound older adults. The researcher will compare PCC approach to a conventional care provider-led model. Participants (n = 130) will receive the intervention of six bi-weekly WhatsApp video call sessions over three months with nurse case managers (NCMs).

This study utilizes the I-Change Model to empower individuals in literacy-limited settings, where the majority of the population is illiterate. By leveraging multimedia tools-such as an educational video and a pictorial infographic-we aim to promote self-care practices among individuals suffering from hypertension. Through these tailored interventions, we seek to enhance awareness, improve hypertension management, and encourage behavioral change, even in low-literacy communities

The research will be conducted as a prospective and relational study to longitudinally investigate the effect of sleep quality on self-care in patients with heart failure (HF) and to evaluate the relationship between self-care, sleep quality, and cognitive functions. The sample size was calculated using the multiple linear regression model with the G\*Power Version 3.1 program. Based on a medium effect size of 0.15, an alpha of 0.05, a power of 0.95, and 18 predictors, the sample size was determined to be 188. Considering a potential dropout rate of 10%, it was decided to complete the study with a minimum of 207 participants. Data will be collected from patients who apply to the Dokuz Eylül University Cardiology Outpatient Clinic and meet the inclusion criteria. After signing the informed consent form, participants will be followed up at baseline, the 1st month, the 3rd month, and the 6th month by telephone. The Statistical Package for Social Sciences (SPSS) 24.0 will be used to analyze the numerical data of the research. Descriptive statistics, including number, percentage, mean, and standard deviation, as well as inferential statistics such as the χ2 test, t-test for independent groups, and multiple linear regression, will be employed in the data analysis.