Risk assessment of drug management process in women surgery department of qaem educational hospital (QEH) using HFMEA method (2013)

Evaluation and improvement of drug management process are essential for patient safety. The present study was performed whit the aim of assessing risk of drug management process in Women Surgery Department of QEH using HFMEA method in 2013. A mixed method was used to analyze failure modes and their effects with HFMEA. To classify failure modes; nursing errors in clinical management model, for classifying factors affecting error; approved model by the UK National Health System, and for determining solutions for improvement; Theory of Inventive Problem Solving, were used. 48 failure modes were identified for 14 sub-process of five steps drug management process. The frequency of failure modes were as follow:35.3 in supplying step, 20.75 in prescription step, 10.4 in preparing step, 22.9 in distribution step and 10.35 in follow up and monitoring step. Seventeen failure modes (35.14) were considered as non-acceptable risk (hazard score� 8) and were transferred to decision tree. Among 51 Influencing factors, the most common reasons for error were related to environmental factors (21.5), and the less common reasons for error were related to patient factors (4.3). HFMEA is a useful tool to evaluating, prioritization and analyzing failure modes in drug management process. Revision drug management process based focus-PDCA, assessing adverse drug reactions (ADR), USE patient identification bracelet, holding periodical pharmaceutical conferences to improve personnel knowledge, patient contribution in drug therapy; are performance solutions which were placed in work order. © 2015 by School of Pharmac

Factors affecting the technical efficiency of rural primary health care centers in Hamadan, Iran: data envelopment analysis and Tobit regression

Background: Studying and monitoring the efficiency of primary health care centers has a special place in the health system. Although studies have been conducted in the field of efficiency in Iran, few have focused on rural primary health care centers. In addition, previous studies have not used the child mortality rate and Behvarzes as input and output. Objective: The present study was conducted aimed to estimate the technical efficiency of rural primary health care centers and determinant factors in Hamadan using data envelopment analysis and Tobit regression. Methods: This is a Longitudinal study of rural primary health care centers in Hamadan province (2002�2016). Data Envelopment Analysis was employed to estimate technical efficiency of sampled health facilities while Panel Tobit Analysis was applied to predict factors associated with efficiency levels. The outputs were child mortality rate under 1 year of age and child mortality rate 1 year to 5 years of age. The input was Behvarzes (rural health workers). Results: The results of efficiency analysis showed that the average efficiency scores of the centers had a fluctuating trend during the period of the study, but the average performance scores generally decreased in 2016, as compared with 2002. The highest and lowest average performance scores were observed in 2003 (0.78) and 2013 (0.56), respectively. Number of physicians and rural primary healthcare centers per population had a positive statistically significant and the number of midwives and the total fertility per population had a negative statistically significant effect on efficiency. Conclusions: The findings suggest some level of wastage of health resources in primary health centers. Findings indicate a level of waste of health resources in primary health centers. Behvarz functions in providing primary care services can be considered in the reallocation and optimal use of available resources at the level of rural health centers. © 2020, The Author(s)

Assessing the Relative Performance of Nurses Using Data Envelopment Analysis Matrix (DEAM)

Assessing employee performance is one of the most important issue in healthcare management services. Because of their direct relationship with patients, nurses are also the most influential hospital staff who play a vital role in providing healthcare services. In this paper, a novel Data Envelopment Analysis Matrix (DEAM) approach is proposed for assessing the performance of nurses based on relative efficiency. The proposed model consists of five input variables (including type of employment, work experience, training hours, working hours and overtime hours) and eight output variables (the outputs are amount of hours each nurse spend on each of the eight activities including documentation, medical instructions, wound care and patient drainage, laboratory sampling, assessment and control care, follow-up and counseling and para-clinical measures, attendance during visiting and discharge suction) have been tested on 30 nurses from the heart department of a hospital in Iran. After determining the relative efficiency of each nurse based on the DEA model, the nurses’ performance were evaluated in a DEAM format. As results the nurses were divided into four groups; superstars, potential stars, those who are needed to be trained effectively and question marks. Finally, based on the proposed approach, we have drawn some recommendations to policy makers in order to improve and maintain the performance of each of these groups. The proposed approach provides a practical framework for hospital managers so that they can assess the relative efficiency of nurses, plan and take steps to improve the quality of healthcare delivery

Designing a green hospital model: Iranian hospital

Background: A green hospital is one which sustains people�s health by reducing environmental risks. The aim of this study is to develop a model of green hospital standards for Iran based on different criteria and standards in the world. Methods: This research is conducted in two phases: a comparative study and Delphi methods to validate green hospital criteria for Iran. Results: Based on the results of the comprehensive review, there are seven patterns for green hospitals. In the Delphi stage, 120 people participated, and it was conducted in two stages. A green hospital model for Iran with 19 dimensions was validated. Conclusions: In general, the reasons for selecting the approved dimensions can vary depending on factors such as emphasis by different models and the relevance of the aspects to the challenges with which hospitals are routinely dealing. © 2019 Informa UK Limited, trading as Taylor & Francis Group

Quality of Labor Support during Labor

Objectives:Providing appropriate and quality care for delivery process can be done in the form of the "Labor Support". This approach is one of the key factors in reducing maternal and neonatal mortality rates and fulfilling the Millennium Development Goals. It has also an important role in the promoting maternal satisfaction. This study aims at assessing mothers’ view regarding the labor support quality. Materials and Methods: In this cross-sectional study, 100 women who were hospitalized in the postpartum ward of Gonabad 22 Bahman Hospital, and had normal vaginal delivery were chosen using convenience sampling method. Participants were asked to fill in the demographic questionnaire and the form of assessment quality of labor support. Data analysis was performed by SPSS11.5 software.  Results: In this study, the data showed a mean participants’ age of 27/14 ± 5/89 years and a mean admission-delivery time interval of 305/13 ± 147/30 minutes. Results showed that 74 percent of women evaluated the emotional support as good, 93% of the women had reported that they are satisfied with physical support, and 92 percent of the participants had expressed that they were content with the instructions/information provided by the personnel. Conclusion: According to this study, overall satisfaction from the quality of labor support has been acceptable in Gonabad 22 Bahman Hospital. Emotional supports stood lower when compared in terms of quality to two other categories

Compliance between what teachers taught and the course plans: The students\' perspective at the School of Public Health of Mashhad University of Medical Sciences

Introduction: Developing course plan is essential for an effective education. to evaluate the course plan implementation, students can be surveyed. This study aim to assess the compliance between what the teachers' taught and the course plans of various courses from the viewpoint of students who enrolled in the School of Public Health (SPH) of Mashhad University of Medical Science (MUMS.(Methods: In this descriptive and cross- sectional study, 138 students were asked about specialized course plans implementation in the second semester of the academic year 2011-2012 year. A6-scale Likert questionnaire which has been designed for each course separately were used to gather data which has been analyzed using descriptive statistics, t-test and ANOVA by SPSS 16.5 at 0.05 significant level.Results: Minimum and Maximum compliances were 18.8% and 100% respectively. On average, the compliances was 77.0±20.6. No significant correlations were observed between academic rank and compliances of taught content. The results showed a significant difference between the mean scores of different educational levels (P<0.05, f=5.8).Conclusion: Monitoring of implementation of the curriculum, along with empowering the teachers about developing and using their own course plan may improve the Alignment between the course plans and the taught materials