Showing 8 results for Rahmani
Gh Rouhi , Sa Hosseini , H Asayesh , N Behnampoor , H Rahmani ,
Volume 3, Issue 2 (21 2009)
Abstract
Background and Aim: Today provision of an adequate and appropriate health services depend on many factors. Human resources are one of the most important factors. Nursing managers with more exact understanding of nursing activity could prevent of human resource wastage. In other way goal achievement in an efficient remedial system depends upon favorite delivery services and one of the appropriate ways for quality of care evaluation is patient satisfaction measurement about care delivery. This study was conducted and implemented to measure the nursing care time and its relationship with patient satisfaction.
Materials and Methods: This descriptive and analytical study was done in internal ward in Gorgan 5th Azar educative and therapeutic center for one month. nursing activity checklist was used for measuring the time that spend for Nursing staff activity and patient satisfaction scale. Data were analyzed with SPSS for Windows package.
Results: In this research findings showed, 46.46% of nursing activity time was spent for direct care, 15.8% of total time was used for documentation activities and 22.5% of time spent for nurses' individual activity, whereas only 7.43 percent of total time was spend for patient assessments. 60.3% of patients were satisfied about care delivery and 24.8% of them had moderate satisfaction. A significant correlation was seen between patient satisfaction and nursing direct care (r =0.272, P= 0.001).By increasing The spent time for direct care, patients' satisfaction was also increased.
Discussion and Conclusion: Nursing managers' awareness from scientific methods of management, rules modification, use of new equipment and technology and also delegating of some nursing activity to nursing assistants could promote quality of care with increasing of nursing direct care.
K Rahmanian , A Jafarzadeh , A Khalooei ,
Volume 4, Issue 2 (19 2010)
Abstract
Background and Aim: Tobacco use is a major contributor to deaths from chronic diseases, one which begins during adolescence. The aim of this study was estimate the smoking prevalence and examines the determinants of smoking behavior among high school students in Jahrom, Iran.
Materials and Methods: This study is a cross-sectional survey that was done in Spring, 2007 in Jahrom. Students were selected by multistage sampling. An anonymous, valid, reliable, self administered questionnaire was filled in by all selected students presented at the day of the survey. Chi-square, student - t and logistic regression test was used to examine the determinants of smoking behavior.
Results: The prevalence of smoking among high school and pre-college students was 9.4% and 12.7% respectively. 53% of high school and 88% of pre-college students received cigarette their first time from their friends. The most powerful determinant of smoking among students of both school levels was sex.
Discussion and Conclusion: Effective smoking prevention programmers should take into account the dominant influence of peers and family members and also its focuss on the age of onset and maintenance of smoking behavior.
Nima Rahmani, Abdollah Keshavarz, Seyed Saeed Tabatabaei, Rohollah Kalhor,
Volume 6, Issue 4 (15 2012)
Abstract
Background and Aim: In many countries, hospitals have triple ownership (governmental or public, for-profit, and not-for-profit). Numerous studies have been performed in order to investigate the differences among these hospitals in accordance to expenditures, presentation of uncompensated therapeutic services, number of outgoing patients and other measurement devices of hospital performance. The aim of this research was to investigate the role of ownership on total Factors Productivity changes in Qazvin`s selected hospitals.
Materials and Methods: Descriptive-analytic study was conducted in three periods of time from 2005 to 2007 in 8 selected hospitals of Qazvin. Inclusion criteria included the active beds and the value of intermediate consumptions in hospitals.The exclusion criteria included the total number of inpatient and surgical operations. Data collection tool, was researcher-designed checklist. Data were analyzed using DEAP 2/1 software and ANOVA, HSD and TUKEY tests.
Results: There was a significant difference between the mean productivity of three hospital groups due to the existence of various ownership(p=%012), Also a significant difference was observed between the mean of technological efficiency of the three groups of hospitals(p=%006), No significant differences was found between the mean of technical efficiency of the three groups of hospitals(p=%23).
Conclusion: Cause of the variation in total factor productivity in private hospitals, is due to their suitable production technology which is always improved. But in respect to their efficiency promotion and optimization of production and products, there was no distinguishing difference with other hospitals.
Mahmood Biglar , Yeganeh Hayati , Hojjat Rahmani, Zeynab Rajabnezhad , Hossein Dargahi,
Volume 8, Issue 1 (5-2014)
Abstract
Background and
Aim: One of the most
important factors to present successful managers is general health. If managers
have not highly general health, then they will encounter many problems.
Therefore, this research is aimed to induce the general health among Tehran
University of Medical Sciences hospitals’ administrators.
Materials and
Methods: A
cross-sectional, deceptive and analytical study was conducted among 25 Tehran
University of Medical Sciences hospitals administrators in Tehran, Iran. The
research tool was general health questionnaire developed by Goldberg and
Hillier to assess the administrators general health and its demographic
details. Data was analyzed by SPSS software and using analytic statistical
methods.
Results: The
results of this study showed that the hospitals administrators had normal range
of general health. Also, there was significant correlation between anxiety with
physical dysfunctions, and depression with physical dysfunctions, and anxiety
with social functions.
Conclusion: The
rate of general health among TUMS hospitals administrators is higher than the
other mangers compared with similar studies in Iran and out of Iran. Therefore,
we suggest periodic medical examination, general health training, and
consultant services to develop or maintain the general health among healthcare
managers.
Reza Safdari, Mozhgan Rahmanian, Shahrbanoo Pahlevany Nejad ,
Volume 12, Issue 6 (Feb & Mar 2019)
Abstract
Background and Aim: Preeclampsia is one of the most prominent cases of pregnancy related diseases that threatens health at global level, especially in developing countries. In Iran, with 14% of outbreak, it is the second most common cause of maternal mortality. The main goal of this study was to identify the information requirements of the Android-based preeclampsia self-Management application.
Materials & Methods: This was a descriptive study that was done in 2018 in Amir_Almomenin Hospital affiliated to Semnan University of Medical Sciences in two stages of reviewing the sources and the need for data elements. In the review phase, after studying the articles and study, the data requirements and factors which affecting the prevalence of preeclampsia were identified and a survey of qualified physicians was done by designing a researcher-made questionnaire.
Results: This research results indicate that 63.9% of the respondents assigned to the elements mentioned in the demographic findings. 75.9% of them identified health information elements as very important. Also, 77.85% of the research community considered the elements in the lifestyle sector to be of the highest importance. All participants recognized that reminder in the program was necessary. Approximately 33.33% of them reconsidered sport education to be at the lowest level, while 45.24% rated it as being of the highest importance.
Conclusion: The information requirements of this program were determined in 6 groups of health history, educational tips, lifestyle, alarms, referral, and reporting. These programs can help pregnant mothers with preeclampsia to control their disease to minimize complications by observing proper nutrition and principles of treatment.
Shahrbanoo Pahlevanynejad, Reza Safdari, Mojgan Rahmanian, Mohammad Saleh Safari,
Volume 16, Issue 1 (3-2022)
Abstract
Background and Aim: Preeclampsia is one of the most serious cases of high-risk pregnancies that endanger women’s health worldwide, especially in developing countries. Preeclampsia is a specific pregnancy syndrome with a prevalence of about 7-14%, which is one of the three leading causes of death in pregnant women. Preeclampsia is the second most common cause of maternal mortality in Iran and accounts for 14% of maternal mortality. The present study was conducted to design, create and evaluate mobile-based preeclampsia self-care application.
Materials and Methods: This study was conducted in four stages to assess the needs of information elements, design, create and evaluate preeclampsia self-care application. In needs assessment step, 42 specialists, assistants and personnel related to the subject working in the Amir Al-Momenin (AS) Educational, Research and Treatment Center affiliated to Semnan University of Medical Sciences participated. The program was then initially evaluated by 7 physicians, and finally the suggestions provided by users in the design of the program were applied and the final version of the program was completed. The application was designed in the Android Studio environment and then its usability was evaluated using the opinions of 20 mothers and the QUIS tool.
Results: The information elements and functional capabilities required by the program were determined. In addition, the program established communication between the patient and the provider, also created the possibility of care management and control of the disease process. The performance of the program was evaluated by physicians and experts and then evaluated by pregnant mothers in terms of usability. The findings showed that users were satisfied with the application.
Conclusion: The use of mobile-based applications is a useful way to increase knowledge and promote the health of pregnant mothers and facilitate their access to medical information and acquire the necessary skills in their disease. This program helps pregnant mothers with preeclampsia to control their disease by observing proper nutrition and treatment principles to minimize the complications of their disease.
Marziyeh Najafi, Roya Rajaee, Hojjat Rahmani, Behrooz Pouragha, Nazanin Sheikh Mohammadi, Ghasem Rajabi Vasokolaei,
Volume 18, Issue 1 (3-2024)
Abstract
Background and Aim: Patient falls are common in hospitals, leading to financial loss and potential harm to patients, staff, and the organization. They can often be prevented with proper planning. This study aims to identify strategies to prevent patient falls and provide evidence to develop safety initiatives.
Materials and Methods: Our review used the Arksey and O’Malley scoping review model to identify strategies for preventing patient falls. We conducted searches with relevant keywords in the PubMed and Web of Science databases until May 25, 2024. In the final stage, we consulted with 18 experts using the Delphi method to gather their opinions. The data were analyzed using the thematic analysis method.
Results: Out of the 4202 studies initially found, 19 articles were chosen. The solutions to prevent patient falls can be grouped into six general categories: planning (which includes quality improvement programs, establishment of patient safety culture, patient fall prevention guidelines and programs), physical space (involving patient room design and the location of treatment staff), equipment (such as monitoring and alarms, pressure sensors, and standard beds), human resources (including communication networks between nurses and other treatment staff, as well as factors like self-efficacy and responsiveness of nurses, and their motivation and job satisfaction), training (covering education and patient participation, training of nurses and treatment staff, and electronic training), and control of executive processes (involving evaluation of risk factors and process control). The highest level of agreement among the members was on the equipment dimension (9.76), and the lowest was on the human resources dimension (8.65).
Conclusion: Patient falls are a common safety concern in hospitals and can be prevented with proper planning. Each hospital should use a combination of prevention methods tailored to its specific conditions.
Sara Hashemi, Shahla Faramarzi, Laya Rahmani Pirouz, Azita Yazdani,
Volume 18, Issue 2 (5-2024)
Abstract
Background and Aim: Burn injury are one of the most common traumas worldwide and the sixth leading cause of death in Iran. The challenges related to the survival rate of burn patients, as well as the associated mortality cases, have led to advancements in the identification of risk factors. Early detection and recognition of these risk factors are essential, and the provision of predictive models can be beneficial. This research was conducted with the aim of reviewing the effectiveness of artificial intelligence in predicting survival in burn patients.
Materials and Methods: This study was a systematic review. A comprehensive search of Scopus, PubMed, IEEE, and Web of Science databases was conducted from inception to July 2023 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Keywords and Mesh terms related to burn, artificial intelligence, survival and prediction were used in the search.
Results: Out of 3599 identified studies, only nine were included in the analysis. Based on the articles reviewed, the effective factors in predicting survival or mortality in burn patients were classified into four main categories: demographic, clinical, tests and co-morbidities. Some of the known effective factors in patient survival, which have been examined in over 40% of studies, include age, gender, total body surface area, inhalation injury, and type of burn. The results showed that in the studies reviewed, the volume of the smallest dataset used in the analyses was 92 samples. In contrast, the volume of the largest dataset used was reported to be 66,611 samples. Among these studies, 33% have indicated that artificial neural network algorithms and random forest show the best performance. The criteria used to evaluate the models in the retrieved studies are diverse.
Conclusion: The use of machine learning algorithms in predicting the survival of burn patients is promising. The results obtained from identified influential factors can assist data science researchers in the data understanding phase and can serve as a roadmap in collecting the initial dataset.
