Showing 3 results for Keyhanian
A Darvish, F Towhidkhah, R Khayati, S Keyhanian,
Volume 15, Issue 2 (12 2009)
Abstract
Background & Aim: Adjustment of nursing scheduling for specific periods of time to meet the needs of hospitals, nurses and patients is a time-consuming and challenging task for nursing managers. The aim of this study was to design a nursing scheduler system based on genetic algorithm to render better services to patients and overcome traditional scheduling problems.
Methods & Materials: In this applied research, we designed software based on the data derived from interviews with the personnel of two pediatric wards. We transformed the expert entity planning procedure to mathematic function using Genetic Algorithm Programming and create the schedule. We compared the system-designed schedule with the schedule that was written by experts in MATLAB software.
Results: The results showed that the system-designed schedule resulted in 57% reduction in the arrangement costs and 93% time saving for nursing managers in comparison with the expert-designed schedule during 6 months.
Conclusion: System-designed schedule had higher efficiency than the expert-designed one. It entailed higher efficiency of managers and higher job satisfaction of nurses. It also reduced problems of working with paper schedules. Nurses&apos preferences and hospital requirements could be taking into account, as well. Since we used the limited data gathered from two selected wards for writing the program, the program should be modified based on the data provided from other wards. Further studies are needed to design similar systems with more details in order that it can be available in various wards of hospitals.
Zahra Fotokian, Sobhan Rahimi Esbo, Zahra Jannat Alipour, Ali Pourhabib, Fatemeh Ghaffari, Mojtaba Qanbari Qalesari, Shahrbanoo Keyhanian, Mohsen Vakili Sadeghi,
Volume 30, Issue 3 (9-2024)
Abstract
Background & Aim: Post-treatment follow-up care for breast cancer is crucial in reducing mortality rates, minimizing treatment costs, and enhancing patients' quality of life. This study aims to identify the psychosocial factors affecting post-treatment follow-up care in breast cancer patients.
Methods & Materials: This descriptive-analytical study involved 180 breast cancer patients from Babol and other cities of western Mazandaran province. Participants were selected using a simple random sampling method between 2021 and 2022. Data were collected through personal information questionnaires, the Zigmond Hospital Anxiety and Depression Scale, the Psychological Distress Thermometer, the Fear of Cancer Recurrence Scale, and a post-treatment breast cancer follow-up care checklist. Data analysis was conducted using SPSS version 18, employing descriptive and inferential statistical methods.
Results: The average age of the participants was 51.49 years (SD=12.01). The mean and standard deviation scores for depression, anxiety, and psychological distress were 6.16±2.71, 10.70±4.13, and 5.98±2.54, respectively. The results showed that individuals with higher levels of anxiety, depression, psychological distress, and fear of recurrence are less likely to engage in follow-up care (P<0.05).
Conclusion: The results suggest that health policymakers should address the psychological challenges faced by breast cancer patients. Specifically, providing insurance coverage for the screening and treatment of mental health problems may improve mental well-being, encourage self-care behaviors, and promote overall health.
Malihe Izanloo, Abbas Shamsalinia, Sepide Mohammadi, Shahrbanoo Keyhanian,
Volume 31, Issue 2 (7-2025)
Abstract
Background & Aim: Emotional disclosure has been associated with improvements in psychological well-being, immune function, and physical health. This study aimed to evaluate the effect of written emotional disclosure on health behaviors and loneliness among family caregivers of cancer patients.
Methods & Materials: This is an experimental study with a pretest–posttest design and a control group. Seventy family caregivers of cancer patients who scored high on the UCLA Loneliness Scale (Version 3) and low on the health behaviors scale for family caregivers of cancer patients were selected by convenience sampling and randomly assigned to Intervention or Control groups. The Intervention group engaged in written emotional disclosure by documenting their deepest and most acute feelings for 15–20 minutes per session, over four consecutive days. The Control group received no intervention. Post-intervention assessments were conducted in both groups. Data were analyzed using SPSS version 26. Comparative analyses included chi-square tests, independent samples t-tests, and paired t-tests.
Results: At baseline, there were no significant differences between groups in health behaviors or their components (P>0.05). Post-intervention, the Intervention group demonstrated significantly higher health behaviors scores and component scores than the Control group (P<0.001). Furthermore, the mean loneliness score in the Intervention group decreased significantly after the intervention (P<0.001).
Conclusion: Written emotional disclosure has a positive and significant effect on loneliness and health behaviors among family caregivers of cancer patients. Given its ease of learning, potential for unsupervised practice, and minimal need for therapist involvement, this method may be a practical adjunct in caregiver support programs.
