Showing 3 results for Length of Stay
Sadegh Moazami-Sedehi , Amin Torabipour , Ehsan Keykhaie ,
Volume 3, Issue 2 (9-2018)
Abstract
Background: Delay in patient's timely discharge can affect the efficiency of beds, outcomes of treatment and hospital indicators. The aim of this study was to determine delay causes in the discharge of patients in educational hospitals of Ahvaz Jundishapur University of medical sciences from nurses and physicians' perspective, 2016.
Methods: The population of this analytic and cross-sectional study consisted of physicians and nurses in 3 educational hospitals affiliated with Ahvaz Jundishapur University of Medical Sciences. In this study, 90 physicians and 275 nurses were randomly selected from these hospitals. Data were collected using self-made questionnaire. The data were analyzed by SPSS 20 software using descriptive statistics (mean, standard deviation) and analytic statistic tests (independent t-test and ANOVA).
Results: According to the results of the study, in hospitals A and B, “Financial unaffordability with the mean scores of 3.29 ± 0.95 and 3.36 ± 1.70 was the most important cause of delayed discharge, respectively. However, in hospital C, “Delay recording and sending information by healthcare department” with the mean score of 3.87 ± 0.71 was the most important cause of delay in discharge (p < 0.05) from the nurses and physicians' perspectives. In nurses' point of view, “Financial unaffordability” (3.24 ± 1.41) and in physicians', point of view “delay in sending settlements by pharmacy and laboratory” (3.15 ± 0.70) were the most important reasons for delay in patients’ discharge.
Conclusions: Based on the findings of this study, providing supportive mechanisms for patients, developing insurance and monitoring the optimal performance of hospital units can reduce the delay in timely discharge of patients; since delay in discharge can increase patients' dissatisfaction, reduce hospital beds efficiency and defect hospital indicators.
Nader Tavakoli, Aziz Rezapour, Arsalan Gholami Somarin, Hosein Ameri, Reza Mohammadi , Saeed Bagheri Faradonbeh,
Volume 4, Issue 4 (3-2020)
Abstract
Background: Hospital indicators are among the most important factors in hospital performance. The aim of this study was to measure the performance of hospitals covered by Iran University of Medical Sciences and to compare them with the national indicators.
Methods: In the present cross-sectional descriptive study, performance indicators of all hospitals covered by Iran University of Medical Sciences were compared descriptively in 2018-2019. Data were collected from the Medical Record of treatment deputy of Iran University of Medical Sciences. The collected information was analyzed using descriptive tools, Excel software, and the Ministry of Health and Medical Education standard index tables.
Results: The average bed occupancy index, average hospital stay index, and patient registration ratio per bed were 69.17, 4.30, and 75.18 in the hospitals covered by Iran University of Medical Sciences in 2018-2019, respectively. These rates show average, undesirable, and desirable status by national standards, respectively.
Conclusion: Given that the average length of stay indicator was at an inappropriate level in this study, hospital authorities are recommended to take the necessary measures to identify the reasons and improve the hospital performance in this regard.
Mohammad Ali Sadid, Ali Taghipour, Elahe Hooshmand , Zahra Khodadadi, Javad Moghri,
Volume 7, Issue 3 (12-2022)
Abstract
Background: Access to services is one of the main intermediate outcomes of health system which directly affects people's health. Increasing demand for services, on the one hand, and insufficiency of existing beds according to the relevant standards in many hospitals in the country, on the other hand, necessitate the optimal use of existing beds. The present study aims to investigate the challenges of bed management in the referral educational hospitals of Mashhad.
Methods: This was a qualitative study using content analysis method. The study population consisted of managers working in Imam Reza and Ghaem hospitals, as referral hospitals in Mashhad, and staff managers. Authors continued data collection until saturation was reached. Researchers used in-depth and semi-structured interviews to collect data. For data analysis, the authors transcribed and coded interviews, and at the same time, collected data using MaxQDA 11 software.
Results: Data were continuously compared in terms of similarities and differences to similar codes. They can be integrated together, leading to the creation of 7 main concepts. They included challenges regarding admission, bed allocation, sustainability, discharge, process, structure, and human resources.
Conclusion: Attention to the challenges of bed management in this study can greatly assist the correct emergency organization and patient flow in the hospital. Authorities need to recognize the problems arising from bed management and movie towards solving them. By doing so, the health system will enjoy higher productivity, and the patients ' access to health care will be enhanced without the need to increase the cost.
