Showing 10 results for Kazemi
Alireza Ilbeigi, Mostafa Kazemi, Mohammad Taghi Peivandi,
Volume 11, Issue 2 (22 2012)
Abstract
Background: The aim of this research was to measure and compare relative efficiency of general hospitals under supervision of Mashhad University of Medical Sciences (MUMS). The study also seek to investigate the likely relationship between the official evaluating scores reported by MUMS with findings of this study.
Materials & Methods: Data Envelopment Analysis (DEA) is utilized to determine relative efficiency of individual decision making units (DMUs). From state-run general hospitals in this study, 17 were selected based on the criteria suggested by the model. To distinguish efficient hospitals from inefficient ones, revised input-based BCC model was used incorporating ‘number of physicians' and ‘number of nurses' as inputs. Outputs were set as ‘the rate of inpatient days to staffed beds', ‘outpatient visits' and ‘number of surgeries' reported both at emergency and wards.
Results: The findings based on both CRS and VRS simulations indicate that the mean of technical efficiency was 0.823, mean managerial efficiency was 0.931 and subsequently mean scale efficiency was 0.881. It was further noticed that, there was no significant relationship between the performance appraisal outcomes from DEA model, and scores allocated to each hospital through official evaluation system.
Conclusion: Current official appraisal system based on pre-defined checklists may not be a reliable mean for evaluating and ranking efficiency of general hospitals.
M.a Afshar Kazemi , N Bigdeli , J Manoochehri , Y Jenab ,
Volume 12, Issue 4 (3-2014)
Abstract
Background: Emergency department (ED) is the first place for providing diagnostic and therapeutic services to emergency patients. Due to importance of speed and accuracy in providing services the proper allocation of resources, the department must consider this matter in a particular way. Planning Emergency resources implements regardless of patient overcrowding which occurs at different times. In conclusion the emergency department may faces lack of resources and it results in delay of providing services, a whole mess in functions and decreasing in quality of services. This study is aimed to overcome these problems by suggesting a model for predicting the number of arrival patients at ED.
Materials and Methods: The number of arrival patients is predicted based on the data colleted by counting arrival patients and using the data mining technique and neural network model (Multi-layer Perceptron).
Results: The number of arrival patients during whole days of a week and 24 hours a day were calculated by sorting out 1, 2 and 3 priorities . The highest number of arrival patients counted was for Saturdays and the lowest for Fridays. Holidays and non-holidays` number of arrival patients differ . The number of arrival patients on formal holidays was similar to Fridays. The highest number of arrivals was between 9 am and 11 and also between 20 pm and 23 pm and the lowest arrivals was between 2 am and 7 am.
Conclusion: prediction the number of ED arrival patients can be used for estimating required sources and distributing them appropriately and improving quality of services.
Fateme Tanha, Adel Mazloumi, Vahdat Faraji, Zeinab Kazemi, Mina Shoghi,
Volume 14, Issue 3 (9-2015)
Abstract
Background: Recently, considerable attention has been paid to medical errors in health care system. Taking into account that nurses spend more time with patients in comparison with other staff, they are more prone to human errors. The present research conducted to investigate nurses' errors in delivery emergency ward in a hospital affiliated to Tehran University of Medical Sciences.
Material and Methods: In the present coss-sectional study,at first, task analysis was conducted to nursing proffession using Hierarchical Task Analysis (HTA) technique by FGD. In next step, the Human Error Probability (HEP) was determined utilizing SPAR-H method and dependences of performance-shaping factors (PSFs) and action and diagnosis activities were identified. Finally, after determinig dependency level, the final diagnosis HEP was calculated and risk assessment level was carried out using the risks' probability and intensity tables.
Results: According to the results, four groups of studied tasks, the lowest errors were belonged to "working with serum pumping machine'' subtask with the error level of 0.055 and the highest error probability related to '' transfusion of blood products'' subtask with the error rate of 0.78. Moreover, special responsibilities of the wards had the highest level of undesirable risks.
Conclusion: In the present study, the analysis of identified errors reveals due to high work demand, insufficient time and the need for accurate administrative monitoring and providing required arrangements, the main causes of errors can be attributed to high level of stress and complexity in the tasks of delivery emergency ward.
Ali Asghar Ayatollahi, Reza Kazemi Darsanaki, Abolfazl Amini, Somayeh Rahimi, Mohammad Ali Vakili, Sara Hoseinzadeh,
Volume 15, Issue 2 (6-2016)
Abstract
Background:Nosocomial infections due to mortality and economic costs are one of the main challenges in current century. Gram-negative bacilli infections acquired in hospitals and hospital environment is one of the most important places of residence and publication of these types of bacteria. This study aimed to investigate the prevalence of gram-negative bacilli from the equipment of hospital in Western region of Golestan province in 2015.
Materials and Methods: During this descriptive study, 1210 devices were examined with sterile swab of environment and equipments which used in various wards of seven teaching hospitals of Golestan province using census sampling. After identification of the isolated colonies based on biochemical standard tests, results analyzed using SPSS version 22.
Results:Based of isolated samples, 352 positive microbial cultures (29.1%) contaminated with gram-negative bacilli which the highest bacterial contamination was related to Enterobacter (10.7%). among different hospital wards the highest bacterial contamination observed in ICUs (19.32%) and among assessed equipment, the highest contamination was related to laryngoscope blades (10.51%), phone (7.1%) , ECG sensor device and monitoring interface (6.25%).
Conclusion:The study findings confirmed that microbial contamination with gram-negative bacilli of hospitals equipment is highly considerable in West of Golestan province. Periodic assessments can be effective in nosocomial infections prevention.
Mohammad Mehdi Ghaemi, Hamid Moghaddasi, Alireza Kazemi,
Volume 16, Issue 1 (4-2017)
Abstract
Background: Despite the fact that only one-third of chest pains occur due to heart diseases, still physicians have tendency to admit most of these patients to reduce risk of negligence and its consequences.Clinical decision support systems (CDSS) enable physicians to distinguish better cardiac from non-cardiac chest pain. This study reviewed articles which focused on this issue.
Materials and Methods: Google scholar and PubMed database were targeted for search. Out of ninety primary matching articles based on the title, abstract and keywords, 28 full texts were relevant which were included in this study.
Results: Included articles were classified into two categories such as managing hospital resources and increasing the accuracy of diagnosis. Study results in the first categoryshowed decrease in both reception and referral time up to 30% and length of hospital stay up to 26% using CDSS. In the second category, the highest reported accuracy of diagnosis was 97% and the maximum sensitivity and specificity were 100% and 89.43% respectively. Even though, the results of a study revealed that the accuracy of decision support system in diagnosing cardiac chest pain was better than the compared cardiologists.
Conclusion: Considering the role of CDSS in managing hospital resources and improving accuracy of diagnosing cardiac chest pain, it is suggested that emergency wards and cardiac screening centers equipped by these systems.
Ali Ebraze, Fahimeh Rabbanikhah, Amir Kazemi-Bolboloy, Reza Moradi, Amin Aghili,
Volume 18, Issue 1 (5-2019)
Abstract
Background: Organizational culture is one of the important predictor of organizational effectiveness, and a key factor success of the organization as a competitive advantage. Todays, a continuous assessment of organizational culture status is considered essential; therefore, this study aimed to identify and measure organizational culture of the Ministry of Health and Medical Education.
Materials and Methods: This descriptive-analytical study was conducted on the headquarters of the Ministry of Health and Medical Education in 2018. The study population consisted of all employees of the Ministry of Health and Medical Education (N=2200), 327 personals were selected through Cochran formula and stratified sampling method. The data collection instrument was a researcher-made questionnaire whose validity and reliability were confirmed (Cronbach's alpha =86.5%). In order to data analysis SPSS24 using descriptive and inferential statistics tests were utilized.
Results: The mean score of total organizational culture was 3.30 ± 0.70 from 5 which was higher than the theoretical average. Also, there was also a significant difference in partnership dimension in terms of employment type and in participation dimensions, accountability to the upstream institutions as well as total organizational culture score in terms of deputy. There was a direct statistical association between dimensions of organizational culture.
Conclusion: According to study results, strong organizational culture will lead to improved performance in the organization and alignment of individuals and activities. Given the importance of specific role of culture in each organization, plans success and change strategies, human resources managers should take appropriate actions to improve internal and external communication and increase teamwork and accountability.
Somayeh Fadaei, Mostafa Kazemi, Fateme Nezhad Shokoohi,
Volume 19, Issue 1 (4-2020)
Abstract
Background: Assessing and improving the quality of services in hospitals because deal with the health of humans is very important. The purpose of this study is to identify and weigh quality criteria and ranking of four hospitals in Mashhad.
Materials & Methods: The present study is of type Applied Studies that is a cross-sectional study conducted in the winter of 1396. In this study, by literature review, dimensions of service quality in the hospital was identified. Then, a paired comparison questionnaire (including 8 people) was used to conduct the survey. Then coefficients of importance of each dimension were calculated through the process of hierarchical analysis in a fuzzy environment. Decision-making matrix questionnaire was completed by a 400-person sample of patient companions in four hospitals.Then, hospitals were ranked using GRA-TOPSIS method. The validity of questionnaires were confirmed by the expert group.
Results:Using FAHP, knowledge and skills of medicine obtained the most important coefficient. Also, using GRA-TOPSIS, third hospital received the fourth place in the provision of services. Also in the third hospital the quality of access requires the greatest improvement.
Conclusion: In addition to ranking hospitals based on quality of service criteria, the GRA-TOPSIS method is able to identify each hospital's weaknesses in each criterion. As a result, the priorities for improving the quality of service in each hospital were identified, and the hospital manager could work to improve performance on the criteria that he or she achieved with lower performance than other hospitals.
Ziba Khalili, Mohammad Panahi Tosanloo, Bahman Khosravi, Naser Iravanimanesh, Rezvan Kazemi Dastjerdeei, Loghman Azmoudeh, Ramin Ahmadzadeh, Abolghasem Pourreza,
Volume 19, Issue 1 (4-2020)
Abstract
Background and Aim: Conflict between health workers is an important problem in health care units around the world. The aim of this study was to identify the causes of conflict between nursing staff and other occupational groups in the hospital.
Materials and Methods: This descriptive-analytical study was conducted in 2018. A researcher-made questionnaire was used to collect data. The questionnaire was designed in two parts: demographic variables and causes of conflict between nursing and other occupational groups with a Likert scale of 5 points. 120 nursing staff of Ardabil University of Medical Sciences randomly selected were surveyed. Data were analyzed by SPSS software15 using descriptive and inferential statistical methods.
Results: The highest rate of conflict reported by nurses was related to the conflict with the group of managers (4.17±0.94) and the lowest rate was with administrative, financial and support staff (3.55±1.13). The most important reasons for conflict between nursing staff and different groups were: imposing non-specialist roles (such as completing doctors' documentation); perceived inequality in workload distribution; insufficient understanding of nursing work conditions; unreasonable differences in salaries and other benefits, and unfair distribution of manpower. There was also a statistically significant correlation between the level of conflict with marital status, work experience, age group (p <0.05).
Conclusion: The results of the present study showed the role of some factors causing conflict between nursing staff and other occupational groups. These findings could be a practical guide for hospital managers in making practical decisions and strategies for managing workplace conflicts.
Yahya Salimi, Ali Kazemi-Karyani, Shahin Soltani, Farid Najafi, Zhila Azimi, Bahman Roshani, Sina Ahmadi, Satar Rezaei,
Volume 21, Issue 1 (5-2022)
Abstract
Background: The aim of this study was to evaluate the effect of health sector evolution plan (HSEP) on the prevalence of cesarean section and vaginal delivery in public hospitals in Kermanshah province.
Methods: In the present study, cesarean section (C-section) and vaginal delivery data were collected and evaluated in 17 public hospitals from 2009 to 2019. The main variables of this study included the prevalence of C-section and the prevalence of vaginal delivery for 121 months, both were obtained by dividing the number of deliveries by C-section and vaginal delivery by the total number. Interrupted time series analysis was used to examine the effect of HSEP on the prevalence of cesarean and vaginal delivery rates.
Results: The prevalence of C-section before and after the HSEP was 42.5% and 43.2%, respectively. Months before the intervention, the rate of C-section was increasing by 0.13%, which was statistically significant. In the first month after the intervention, the prevalence of C-section decreased by 3.6% that was statistically significant. The share of C-section in the months after the implementation of the HSEP showed a monthly increase of 0.12% compared to before the intervention, which was statistically significant.
Conclusions: The results of the study showed that the HSEP has led to a significant reduction in C-section in short term, but in the months after the implementation of the plan, the prevalence of C-section has increased again.
Fatemeh Kazemi, Alimohammad Mosadeghrad, Ahmadreza Yazdan Nik, Mohammadali Cheraghi,
Volume 21, Issue 4 (1-2023)
Abstract
Context: The intention to quit is a step before the actual leaving the job. The complex conditions of treating covid 19 patients, nurses physical pressures and mental tensions during the covid-19 pandemic, encourage them to quit their jobs. The present study was conducted to determine the factors related to the willingness of nurses to quit during the covid-19 pandemic in the hospitals of Isfahan city.
Method: 416 nurses working in the hospitals of Isfahan participated in this cross-sectional descriptive-analytical research in the form of quota sampling and systematic random stratification. The data collection tool was a researcher-made questionnaire with high validity and reliability (0.95) that measured the intention to quit of nurses during the covid-19 pandemic in 4 dimensions of individual, occupational, organizational and transorganizational factors. SPSS version 25 software was used for data analysis.
Findings The average score of nurses' willingness to leave during the corona pandemic in Isfahan hospitals was 2.98 out of 5. The average of Transorganizational factors (3.30) was higher than the average of organizational factors (3.05) in driving the intention to leave of nurses. A relation was seen between demographic information such as; received compensation, secondary job and total income and intention to quit.
Conclusion: During the covid-19 pandemic, several factors lead to the quit in the group of nurses. Since the willingness to leave the job in public hospitals is higher than in private hospitals, managers of these organizations should pay more attention to evaluating factors, determining their impact and making effective decisions.
