Showing 4 results for Bed
M Arab, M Yousefvand, M Zahavi,
Volume 12, Issue 1 (5-2013)
Abstract
Background: One of the most important advantages of calculating the cost and the bed-day expense is that the government can analyze and compare this cost among different centers and regions of the country and adjust an accurate plan and budget and require governmental units to perform it.
Materials and Methods: this research has been done using a descriptive-analytic with a temporary and retrospective approach. sample selection has been done regarding the question that "whether the orthopedic section is beneficial or not" -based on hospital chief`s demands and with experts
consultation. Related data has been gathered through studying documents, performing interviews and observing related checklists .initially all of the active centers were verified and then each activity`s cost was calculated using the ABC technique.
Results: in the year 1387, cost of each occupied bed for the orthopedic section of Imam Khomeini hospital has been 326818 rials per day. Considering the issue that this sector`s income is provided by selling services based on approved tariffs of ministry of health and medical education which has been 217500 rilas for a double-bed room of first grade hospitals in Tehran in the same year, we could conclude that the occupied Bed-Day cost is 109318 rials more compared to the approved tariff of the targeted year, which shows that the tariff's value is highly less than the bed-day cost.
Conclusion: The enormous variance between Bed-Day cost and the tariff approved by the iranian cabinet will result in forfeit of service providing centers and this could make them serious problems in providing quality services in long term. Therefore, it is essential to set the diagnostic and treatment service's tariffs based on the real cost of these kind of services.
Abolfazli Mohammadbeig, Zohreh Anbari, Maryam Hemmati, Ahmad Rahbar, Narges Mohammad Salehi, Fariba Eslami Moghaddam,
Volume 14, Issue 3 (9-2015)
Abstract
Background: The Pabon Lasso graphical Model is a method to determine hospital efficacy as one of the most important part of health system in developing countries. This study aimed at assessing the efficacy analysis using Pabon Lasso Model and comparing with national standards of educational hospitals affiliate to Qom University of Medical Sciences.
Materials and Methods: This descriptive study conducted in educational hospitals of Qom University of Medical Sciences in 2011 - 2013. Data collected by approved forms of Health Ministry and three indicators including bed occupancy percentage, bed turnover rate, and average length of Stay were calculated for each hospital using Pabon Lasso model. One sample t-test conducted to data analysis.
Results: The mean of bed occupancy and bed turnover was 76.9±9.8 and 100.6±35.4 respectively which were significantly higher than national standards. In addition, the average length of Stay was 3±1.1 days that were similar to standard. The Highest efficacy calculated for IZ hospital and lowest efficacy observed in KA and NE hospitals. Moreover, ZA Hospital can achieve excellent efficacy in 2013.
Conclusion: The mean of bed occupancy and bed turnover assessed very desirable and higher than national standards. Moreover, only IZ and ZA hospitals had excellent efficacy based on Pabon Lasso model.
Dr Masoumeh Erfani Khanghahi, Dr Farbod Ebadi Fard Azar,
Volume 17, Issue 2 (9-2018)
Abstract
Background: The Pabon Laso Model is one of the most important models of evaluating efficiency. Many studies are implemented with this model in Iranian hospitals. This study aimed to review related articles with systemic review and meta-analysis method.
Materials and Methods: The data was gathered using related keywords in databases such as IranMedex, MagIran, IranDoc, Medlib, SID, PubMed, Google Scholar, Elsevier, and Scopus. The articles were searched during 2001 to 2015. Inclusion criteria were determined as articles published in Persian and English, Pointing at least one of three criteria Pabon Lasso model in Iran and access to full-text articles. Exclusion criteria were articles other than hospital performance assessment, and articles which presented as conferences event, case reports, letters to the editor and educational articles. Meta-analysis method was used for calculating Pabon Lasso indices. CMA: 2(Comprehensive Meta-Analysis) was utilized.
Results: 27 articles out of 396 articles were reviewed. The results of 348 hospitals had shown 79.9(22.9%), 76.8(21.7%), 117.8(33.8%), and 74.6(21.4%) of hospitals were in areas one, two, three, and four, respectively. The average of length of stay, bed occupancy, and bed turnover were 3.4 (3-3.7, 95% CI), 63 (41-95,95% CI), and 78.4 (71.8-85.2, 95% CI) per year, respectively.
Conclusion: Study results revealed that only one-third of hospitals were in area three in Pabon Lasso model. The performance status of three fields were average in the length of stay (approximately standard), bed occupancy (upper than standard), and bed turnover (lower than standard).
Marziyeh Najafi, Morteza Nazari, Hojjat Rahmani, Ghasem Rajabi Vasokolaei, Behrooz Pouragha, Sima Feizolahzadeh, Roya Rajaee,
Volume 21, Issue 4 (1-2023)
Abstract
Background and purpose: One of the main challenges of human resource management in hospitals is the proper distribution of nurses, which is necessary to improve the efficiency and quality of health services. In this review, this rate is compared in selected countries and Iran in order to provide the necessary evidence for managers and policymakers in human resource management
Materials and Methods: This study was conducted as a field review in 2019 with the aim of comparing the standards of nurse distribution to beds/wards in selected studies. The search was conducted with related keywords in "Scopus", "Web of Science", "PubMed" databases without a time limit.
Results: The distribution of nursing per bed was reported in Australia, England, Northern Ireland, Wales, Israel, America, California, Pennsylvania and New Jersey. In Iran, the rate of nurses to intensive beds was slightly higher than the average and the ratio of nurses to ordinary and emergency beds was lower than the average of selected countries average.
Conclusion: Nurses' distribution was generally lower than the average of other countries, and this ratio was lower in some sectors and higher than the average in some sectors. Recruitment and redistribution of the appropriate nurse in different sectors by benchmarking successful countries are suggested.
