Showing 6 results for Tofighi
M Mohammadnia, B Delgoshaei, Sh Tofighi, L Riahi, A Omrani,
Volume 8, Issue 3 (7 2010)
Abstract
Background: However nurses are responsible for patients quality care legally and ethically, in other side, patients have rights to receive appropriate and quality care. The aim of this descriptive study was to explore SERVQUAL dimensions (Reliability, Responsiveness, Assurance and Empathy) of Nursing Service Quality (NSQ) at Tehran Social Security Organization (SSO) Hospitals.
Material and Methods: This study was carried out as an applied, descriptive and cross- sectional study during the summer and autumn of 2009 in Tehran SSO hospitals. Study tool was prepared on the basis of the standard and modified questionnaire of SERVQUAL based on Parasuraman, Zeithaml and Berry questionnaire (1988) for NSQ and consisted of 4 dimensions which were Reliability, Assurance, Empathy, and Responsiveness. The population for this study included of all inpatients of selected Tehran SSO hospitals who were selected by random sampling (N=200). For accounting Means, Standard Deviations and percents SPSS (ver. 16) have been used.
Result:The total percentage of NSQ was upper middle (66), prescriptively Reliability (74), Assurance (69) and Empathy (64) were the most ones and Responsiveness (58) was the lowest.
Conclusion: The results of this study showed that NSQ was in desired degree from patients` perspective in selected hospitals. The health care managers should have been attention to nursing as an important workforce of a hospital for raising the service quality of their organizations .Nurses are main role in quality care improvement and patients satisfaction. So, actions regarding to improve their performance are useful and necessary. Due to lowest score of Responsiveness among nursing staff, we suggest training courses for improving organizational culture on responding and effective communication to achieve high quality performance of all nursing group staff.
Zh Agharezaei , Sh Tofighi Sh, A Nemati , L Aagharezaei , K Bahaadinbeigi ,
Volume 12, Issue 2 (9-2013)
Abstract
Background: This research aims to design and implement a software with the ability to identify patients who are facing the risk of pulmonary embolism and deep venous thrombosis instantly as well as the ability to send timely reminders for any prophylactic action. The main target is introduce a clinical decision- support system which could finally lead to preventing mortality and handicap cases caused by embolism and thromboses in patients who are confined to bed in hospitals. Materials and Methods: The software was designed using the Visual Basic.Net and SQL Server database. Afterwards the software was installed in the largest educational hospital of Kerman and a survey was conducted amongst the physicians using multiple questionnaires and interviews. Finally, the data were analyzed using the SPSS software. Results: The average score was 21.16 for the physicians and 20.76 for the nurses. T-Test results show that there is no significant difference between the total average score of the physicians and that of the nurses. Conclusion: The results have shown that both groups (physicians and nurses) have a positive viewpoint about the software therefore using the clinical decision support system can be effective in reducing the occurrence of pulmonary embolism and deep venous thrombosis through sending timely electronic alerts to the medical staff.
Nader Markazi Moghadam, Sanaz Zargar, Zaniar Ghaderi, Ehsan Tofighi,
Volume 19, Issue 1 (4-2020)
Abstract
Background: Hospitals play a key role in ensuring community health. Among the hospital departments, the surgery room accounts for a significant portion of the cost and revenue of the hospital. Surgery timing is important to increase the efficiency of operating rooms. The purpose of this study was to optimize surgical hall scheduling based on discrete event simulation model.
Materials & Methods: This cross-sectional study was performed in the summer of 2018 in the operation room of one of the hospitals in Tehran. As people entered the operation room, their information about the cause and condition that caused the surgery, the type of surgery (elective or emergency) the time of being in the operation was recorded by details. Data analysis was performed SPSS software and simulation of therapeutic system was performed Arena software.
Results: By analyzing the input data of 625 patients during three months, more than 60% of patients were men and less than 40% were women. The first entry into the surgery room for the selected patients was at 7:10 am and the last was at 5:00 pm. Of the eight scenarios presented, two arrival rate correction scenarios (noon arrival distribution) and a combined scenario (noon queue correction and patient adding) resulted in the greatest reduction in waiting time.
Conclusion: The results of this study showed that changing the distribution of patients 'arrival to hours with less input time can decrease patients' waiting time and increase the efficiency of surgery room.
Hamid Mohammadi, Shahram Tofighi, Mostafa Rajabi, Hamidreza Izadbakhsh, Bahar Hafezi,
Volume 20, Issue 2 (9-2021)
Abstract
Background: The outlook for hospital care is changing rapidly. Supply and demand stimuli in the health service system are changing dramatically. The health department of the Social Security Administration has also been challenged by the growing number of patients. This study was conducted to help this organization with the aim of designing a conceptual causal model of the interaction between supply and demand of health care.
Materials and Methods: This research is a qualitative study that was conducted in 2020. It presented a conceptual model in two steps in the first step, semi-structured interviews were used to extract important factors in the supply and demand of health services in hospitals. In the second step, the system simulation approach was used and the feedback relationships between the patient's routes to the hospital and the provision of medical services were presented.
Results: According to the study hypothesis, the prevalence of disease and budget allocation as an indicator of medical need and expected medical demand, positively affect the number of visits to hospitals of the Social Security Organization. Accordingly, four sub-models of patient flow, health care budget, treatment staff (physician, nurse) and hospital capacity were extracted.
Conclusion: Medical budgets allocated to hospitals to improve medical facilities and increase the number of staff, have created positive expectations among social security insured regarding the use of hospital services. Paying attention to providing sufficient manpower (doctor, nurse) and bed capacity with the budget which is spent for this service are the indicators of improving the quality of services.
Hamid Mohammadi, Shahram Tofighi, Mostafa Rajabi, Hamidreza Izadbakhsh, Bahar Hafezi,
Volume 21, Issue 1 (5-2022)
Abstract
Background: The use of simulation models can help elucidate the intuitive behavior of complex health care problems. Today, the complexity of problems goes far beyond our capacity to solve them manually. System simulation is considered as a wise option by approaching structural problems and understanding the complex interactions within the problems and their changes. The purpose of this study is to review the most advanced applications of system dynamics in healthcare.
Materials and methods: This study is a systematic selection of articles that explored the applications of system dynamics in health care in 11 databases between 1999 and 2019. The focus of this research was on articles with the keywords including system dynamics in health care, dynamic health care analysis, continuous health care simulation or dynamic health care simulation.
Results: 79 articles related to system dynamics applications in healthcare were identified in databases. Eighty-five percent of the articles focused on finance, politics, government, regulation, public health, and health care planning. Among the articles, the patient's treatment path, obesity and demand for healthcare workforce were examined.
Conclusion: The tendency to use continuous simulation in healthcare has increased. However, the power of hybrid simulation can take advantage of the inherent strength of the system dynamics overview perspective, and in a hybrid model it can utilize a holistic perspective for managing health care systems. Potential areas with the application of systems dynamics in future research include planning and policy-making in public health decision-making, purchasing quality management, care and risk.
Mehrak Pourmotahari, Soad Mahfoozpour, Shahram Tofighi, Shaghayegh Vahdat, Irvan Masoudi Asl,
Volume 22, Issue 4 (1-2024)
Abstract
Background and purpose: As health resources face increasing constraints, the use of medical imaging services has risen significantly. On average, diagnostic services account for approximately 10% of total healthcare expenditures, and this figure is steadily increasing. This study aims to identify the causes of irrational utilization of medical imaging services and propose corrective measures.
Methods: This descriptive-survey research was conducted in two phases. In the first phase, a comprehensive literature review was performed using both international and national databases, covering the period from 1990 to November 2021. Relevant studies were identified using specific keywords. In the second phase, a semi-structured questionnaire was developed, and a series of in-depth interviews with experts and professionals were conducted. Data were analyzed using the six-step thematic approach by Braun and Clarke, utilizing MAXQDA software.
Results: A total of 605 studies were initially identified, of which seven met the inclusion criteria after rigorous screening. In the second phase, 12 in-depth interviews were conducted, yielding 65 codes, which were organized into 12 themes. The identified themes included legal issues, conflict of interest, monitoring challenges, poor governance and stewardship, inappropriate policymaking and planning, financial incentives, inadequate service provision infrastructure, health culture, education and continuous training systems, financing and purchasing services, political factors, and inadequate insurance systems. Various strategies for controlling the inappropriate use of diagnostic and therapeutic services were proposed, including policy interventions, monitoring and evaluation, and training.
Conclusion: The irrational use of healthcare services is a significant challenge in many countries. Key contributing factors include incomplete insurance coverage, out-of-pocket payments by patients, defensive medical practices, and gaps in knowledge. Addressing these issues requires targeted interventions and reforms.
