Showing 10 results for Indicator
Mehrdad Farzandipor, Mehdi Shaeri, Fatemeh Rangraz Jeddi,
Volume 6, Issue 4 (11-2012)
Abstract
Background and Aim: Nowadays, Information conduct health care system and its substantiation depend on available correct data and reliable information. This study was performed to determine the accuracy rate of statistical indicators in Kashan educational hospitals.
Materials and Methods: This was a cross-sectional descriptive study carried out in March2009- August 2010. Data(the items that need for evaluate of each indicator) were gathered with self-designed checklist. The accuracy of items and hospital indicators were compared with items and indicators that researcher had gathered or calculated. Data(frequency and percent) was presented with descriptive statistical method.
Results: Findings showed that maximum rate of accuracy was found in gross death percentage(68%), and minimum rate was found for the average bed count(24%). The accuracy rates of other indicators were: bed occupancy percentage(39%), bed turn over rate(47%), and bed occupancy average(61%). Net death percentage and bed turn over interval both were(49%). Totally, the accuracy of hospital indicators were 53% which was in a moderate level.
Conclusion: The accuracy of hospital indicators is low. Use of monitoring methods for improvement of its accuracy is recommended.
Esmaeel Mehraeen, Maryam Ahmadi, Maedeh Shajarat, Masumeh Khoshgam,
Volume 6, Issue 6 (3-2013)
Abstract
Background and Aim: According to the objectives of the information systems and to avoid duplication and help to improve the quality of care and reduce costs, HIS ongoing evaluation should be conducted to achieve these goals. This study has evaluated hospital information systems in selected hospitals with the use of "integrated hospital information system evaluation criteria-2011".
Materials and Methods: This study was a descriptive-sectional research. The study population consisted of information systems in Shohada, Rsool Akram, Khatamolanbia, Imam Khomeyni and Milad hospitals. The data collection tool was a checklist of HIS indicators. Checklist was completed with direct observation and interviews with HIS users in selected hospitals. Data was analyzed by SPSS statistical software, and results were presented in statistical tables and charts.
Results: In the studied hospitals most of the subtypes of organizational and server components of the hospital information system has been set up and used. However, pharmacy, decision support, medical services, communication services and telemedicine information systems, are not yet fully set up in the studied hospitals.
Conclusion: Most subtypes of organizational and server components, currently exist in all fields in the studied hospitals.
Nadia Sanee, Seyed Javad Ghazi Mirsaeid ,
Volume 9, Issue 1 (5-2015)
Abstract
Background and Aim: Thermodynamic indicators are considered in scientometrics studies to survey research performance as the Exergy that is most important ones. Therefore, this article is aimed to introduce, review, definition, application and importance of Exergy.
Materials and Methods: This study is a review article that determined by using related literatures with thermodynamic indicators of scientometrics by library research, and simple and advanced searches of English papers on valid websites. 30 English papers were retrieved and 24 articles related to this study were selected but among Persian literatures, no related papers were found.
Results: Exergy is a thermodynamic measure which reperesenting a maximum useful work that a system can perform in order to create balance. This indicator is applicable in bibliometrics and as an indicator of research performance for ranking of research institutions.
Conclusion: According to the role of exergy in assessing the research performance of individuals and organizations, and its advantage over H-index, due to consideration of all the articles and all the citations, this indicator can offer new reperesentation of rankings.
Mehdi Khakian, Javad Neshani Sadabad, Mohammad Hadian, Hosein Ghaderi, Malihe Ram, Yaser Jouyani,
Volume 9, Issue 4 (11-2015)
Abstract
Background and Aim: In a severely inflationary environment with unemployment, social problems increase and, therefore, high health care expenses are imposed on the society.
Materials and Methods: This was a correlational study. Panel data model and EVeiws 6 software were used in this study. The data were collected from the World Bank website. The required pre-tests, including F-Limer and Hauseman tests, were given to check the appropriateness of data and to determine a appropriate model. Following the pre-tests, the results were estimated in the form of a regression model.
Results: The results indicated that F-test and t-statistic were significant, and that R2 statistic was high. In the three models, R2 was 99%, 99% and 98%, respectively. Moreover, it can be said that employment is positively related with life expectancy, but negatively related with infant mortality and total fertility rate. Also, inflation is negatively related with life expectancy, but positively related with infant mortality, and total fertility rate. Finally, Gross Domestic Product (GDP) is negatively related with total fertility rate and life expectancy, but has no meaningful relationship with infant mortality (p = 0.31).
Conclusion: Employment, inflation and GDP are the variables that have the greatest impact on health indicators. however, life expectancy is more sensitive to explanatory variables.
Seyed Jamallodin Tabibi, Mahmoud Reza Gohari, Elham Gholami,
Volume 9, Issue 5 (2-2016)
Abstract
Background and Aim: The study of human resources flexibility impact on hospitals performance indicators can be effective on hospitals performance improvements. The main purpose of this research is to investigate the relationship between human resources flexibility and hospitals’ performance indicators of Islamic Azad University.
Materials and Methods: The present research was a descriptive-analytical research that has been induced cross-sectionally in 2013. The statistical sampling has been selected randomly, and class assignment among 108 nurses, and supportive employees in five hospitals of Islamic Azad University. Data collection tools was hospital’s performance indicator forms, and flexibility questionnaire based on Right and Esnel. The process of data analysis has been done using SPSS software and by descriptive statistical indicators and correlation tests.
Results: The studied employees had low flexibility. The total studied hospitals were in undesirable situation from the perspective view of bed occupying and bed rotation ratio. Finally, there were not any meaningful relationship between human resources flexibility and hospitals performance indicators.
Conclusion: According to low flexibility of human resources of Islamic Azad University hospitals, the policies should be made in order to coordinate human resources process with human resources flexibility strategies. Furthermore, human resource for the purpose of creating flexibility and hospital subsidiaries of Islamic Azad University performance improvements could be clearly effective in such hospitals situation promotion.
Amir Ashkan Nasiripour, Shirin Jafari,
Volume 10, Issue 4 (9-2016)
Abstract
Background and Aim: In health sector, improving quality of treatment services and patient safety are considered as vital. The objective of this study was to determine the relationship between the quality improvement and patient safety (QPS) and the hospital performance indicators.
Materials and Methods: In this descriptive analysis research, the statistical population included managers, matrons, one of the members of the quality improvement committee and one of the clinical governance office members of Shahid Beheshti University of Medical Science teaching hospitals (N=44). In order to evaluate QPS, data were gathered through questionnaire and the hospital performance indicator data were gathered through interview and observation. Also independent T test was used to determine the relationship between the quality improvement and patient safety and performance indicators.
Results: All five areas of (QPS) including leading and planning, designing clinical and managerial processes, collecting the data, analyzing the data and improvement were significant in QPS score and according to independent T-test, the relationship between (QPS) and bed occupancy percentage, average length of inpatient stay, bed turnover interval, bed turnover rate and gross death rate was significant (p-value<0/05).
Conclusion: Considering (QPS) standards can improve hospital performance indicators.
Reza Safdari, Mahboubeh Mirzaee, Mahni Mehdibagli,
Volume 12, Issue 2 (7-2018)
Abstract
Background and Aim: Since safety, performance and outcome indicators can improve the quality of care, patient safety indicators are required to monitor and provide safety in care. The aim of this study was to compile a set of patient safety indicators for monitoring in patient safety dashboard.
Materials and Methods: A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
Results: The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Conclusion: Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.
Maryam Ahmadi, Mashallah Torabi, Maryam Goodarzi, Hamideh Hamidi, Samira Elmi, Fatemeh Golmahi, Samira Mortezaie, Parisa Nezari,
Volume 13, Issue 4 (11-2019)
Abstract
Background and Aim: The purpose of this study was to introduce a new model for indicator of letters in office automation of Tehran University of Medical Sciences.
Materials and Methods: The present study was an applied research and a developmental study in which old automation method has been modified to new model. Regarding to the dispersion of codes assigned to letters, there was no specific order in the codes of both old and new units defined in the system, and firstly, the letter indicators in the office automation system of university in combination with letters and numbers was done without classification, the decision was made to correct it in the office automation system. In new model, numbering the correspondence based on frequency of each university unit's subdivision was described and proposed model was presented.
Results: According to the new numerical model, integrated codes were assigned which were entirely numerical or the combination of numbers. Due to the abundance of units covered by the university, the research centers allocate the largest number to themselves. Therefore, a larger range of indicator codes for these units was considered than for other sections.
Conclusion: This model provides a new model for implementation of office automation indicator code in Tehran University of Medical Sciences and facilitates the search of letters based on the defined number.
Reza Safdari, Abdorreza Naser Moghadasi, Sahar Khenarinezhad, Ehsan Ghazanfarisavadkoohi,
Volume 14, Issue 5 (1-2021)
Abstract
Background and Aim: Taking a wide range of medications in Multiple sclerosis (MS) patients can lead to side effects and drug interactions. Therefore, the use of intelligent systems such as drug monitoring systems can help in the effective and timely treatment of MS disease. In this regard, the present study was conducted to design, development, and evaluation of the drug monitoring system for multiple sclerosis patients.
Materials and Methods: The present descriptive-developmental study was performed in four stages. In the first stage, by searching the library resources and valid guidelines, the minimum data set was determined and provided to neurologists and MS fellowships in the form of checklists for validation. Then the software was designed logically and coded based on the opinion of experts. In the last stage, the software was evaluated by end-users.
Results: The information elements in the software design were categorized into patient demographic information, medical history, clinical signs, imaging procedures, laboratory tests for ocrelizumab and fingolimod drugs, counseling, and treatment data. Finally, the performance of the drug monitoring system was evaluated with an average of 7.9 and was approved by users.
Conclusion: The results of software evaluation showed that the drug monitoring system can help general practitioners, neurologists, and MS fellowships in monitoring and follow-up of patients and lead to increased patient safety.
Mohammad Reza Shahraki, Motahare Fallah,
Volume 16, Issue 1 (3-2022)
Abstract
Background and Aim: The healthcare sector plays an important role in the development of communities by ensuring the health of individuals in each community and can have many social and economic effects on the lives of individuals in the community. The purpose of this study was to determine the development of the country’s provinces based on health facilities and the level of access to these facilities, to find solutions to reduce differences between different parts of the country.
Materials and Methods: This study was an applied study with a descriptive-analytical approach. In this study, 31 provinces of the country have been studied in terms of 10 indicators. Data and information of this study were extracted from the national statistical yearbook and ranked using Center-weighted index method by using Excel software. Then, using taxonomy method, the degree of development of the provinces has been determined.
Results: The results of the study show that South Khorasan province with a centrality index of 45,692 is in the first place, Yazd province with a centrality index of 43,933 is in the second place and Ilam province with a centrality index of 40,668 is in the third place. East Azerbaijan province with a centrality index of 27,375 is ranked 29th, Qom province with a centrality index of 25,417 is ranked 30th and Hormozgan province with a centrality index of 24,286 is ranked 31st. The degree of development of the provinces is between 0.507 to 0.98, which in terms of development of Yazd province is in the first rank and Hormozgan province is in the last rank.
Conclusion: The results show that there is a deep gap between the provinces in terms of development and access to health indicators; Therefore, it needs more attention and adopt the necessary policies and plans to reduce this gap.
