Burnout syndrome and related factors among health team employees.

BACKGROUND: Burnout is not only related to mental health but also to efficiency. Thus, recognizing effective coping strategies has a significant role in improving mental health, the efficiency and productivity of human resources, and making better the level of quality of service. OBJECTIVE: To determine burnout syndrome and examine related factors among the employees of Mashhad University of Medical Sciences. METHOD: This cross-sectional study was conducted among 600 employees at Mashhad University of Medical Sciences. They were selected by a stratified sampling method. The data collection tool was the demographic information and the Burnout Self-Test Maslach Burnout Inventory (MBI) questionnaire. Data were analyzed through SPSS software version 20, using descriptive statistics and independent samples t-tests, one-way ANOVA, and Pearson and Spearman regression. RESULTS: The findings showed that emotional exhaustion (EE) and depersonalization (DP) in the majority of employees were high and personal accomplishment (PA) was low at 88.33% of cases. All participants presented burnout. However, participants aged 35-40 years, those with professional and Ph.D. degrees, and research staff reported higher burnout levels. CONCLUSION: Job burnout and its subscale levels among the employees were high. Job burnout is associated with socioeconomic status that can be affected by individual, organizational, management, and environmental factors. Therefore, this study suggests that employees need to get out of EE and DP conditions for higher job performance. Additionally, further research is required to examine the long-term effects of workplace burnout.

Electronic prescription system requirements: a scoping review.

BACKGROUND: An electronic prescription system is a mechanism that has long been implemented in many countries around the world. In the present study, we reviewed the requirements, standards, and features of an electronic prescription system for its correct and accurate execution. METHODS: This scoping review was conducted according to the PRISMA-SCR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A comprehensive literature search was performed with the related keywords in Web of Science, PubMed, Scopus, and ProQuest with no time limit. The selection of papers was based on inclusion criteria. After removing duplicates, reviewing titles, abstracts, and full-text, 13 articles were included in the analysis. RESULTS: Electronic prescription system requirements extracted from the studies: Patient data, Patient selection or identification and data access, Drug Selection, Security, Privacy and administration, Transparency and accountability, Interoperability and communication, Monitoring, report, reminder, and renewals, Feedback at the prescriber level, Infrastructure: Computer equipment, Awareness of physicians and System support, Patient education and information, Usability, Standards, History of Medications / Current Medications, Data transfer and storage, Alerts and other messages to prescribers, and filtering of user-selectable alerts for possible prescription problems and Decision support. CONCLUSIONS: The results of this study showed that the electronic prescription systems have several functional and technical capabilities that can provide significant benefits to all system's stakeholders, including service providers, drug distributors, patients, and insurance organizations if used correctly.

Response Time and Causes of Delay in Prehospital Emergency Missions in Mashhad, 2015.

Background: The response time is considered as one of the most important criteria for the quality of given care to the injured. This research aimed to investigate the frequency and causes of prehospital emergency delays in the 115 emergency center, in city of Mashhad, in 2015. Methods: In this cross-sectional study, 21,142 missions performed in 2015 were investigated, from among which 640 missions with delays in systematic sampling were recognized. For data analysis purposes, descriptive statistics (frequency, mean and SD) in Excel 2013 software was implemented. Results: Nearly 60% of the injured were men, 23% women, and the gender of 17% was not recorded in their profiles. The mean age of the injured was 29.8+15.9 years and 30% of the injured were in the age group of 16 to 25. The mean response time was 9:01+2:46. The most prevalent causes related to missions out of the operational zone (29.3%) and the second cause has been related to traffic groups (24.2%). Conclusion: Establishing new bases and completing the number of ambulances and human recourses, intervention in traffic causing factors, and training the public about emergency cases can be effective in reducing the number of missions and the pace and quality of services provided to the injured.

Implementing the six sigma model on the treatment of congenital hypothyroidism: An analytical hierarchy process.

Background: Congenital hypothyroidism is a disease able to cause severe mental retardation and developmental delays. However, timely diagnosis and treatment of infants with this disease could prevent relevant complications. This study aims to investigate the effects of the implementation of the Six Sigma model on reducing the treatment initiation time in infants with congenital hypothyroidism in the population chosen from Samen Health Center in Mashhad. Methods: In this quasi-experimental study, the referral process of infants for congenital hypothyroidism screening and treatment was evaluated for the time period starting from March 20, 2017, to March 19, 2018, using the standard five-phase quality strategy, description, measurement, analysis, improvement and control phase (DMAIC), based on Six Sigma. Data were collected using the sampling form of the national screening program for congenital hypothyroidism. To analyze the data, software including Expert Choice V11, Microsoft Excel 2013, and SPSS 18, were utilized. In addition, a p-value less than 0.05 was considered statistically significant. Results: The number of infants who entered the intervention process was 4,574, of whom 51.3% (2346 infants) were boys. The mean time to start treatment before the implementation of the model was 21.72±7.72 days, which decreased to 17.41±6.47 days after the implementation of the model (p≤ 0.05). Besides, 81.8% of the patients received treatment during infancy before the intervention, which increased to 94.1% after it. After the implementation of the Six Sigma model, the Sigma level of treatment initiation improved from 2.41 to 3.06. Conclusion: Six Sigma could be used as an intervention tool for improving indices of health intervention processes.

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.

Simulation of Quality Death Spirals based on Human Resources Dynamics.

Although the hospital managers always try to improve the quality of the medical services, sometimes their efforts might affect reversely and push the system in what is so commonly called as "the death spirals of quality." The most important reason of falling into these spirals is the lack of a systemic thought that considers the feedback relationships between the numerous effective variables in the system performance, such as human resources service capacity. In this regard, the purpose of the present research is to design and simulate a dynamic human resources service capacity-based model to demonstrate the death spirals of quality phenomenon based on the service time per service and the possibility of error generation along with identifying the policies to cope with them. The system dynamics simulation approach is used to show the dynamics of the capacity of service from the standpoint of human resources. A model is simulated for the services of a hospital clinic as a case study. The simulation results of the designed dynamic model express that applying the desired policies for the case study can provide a good basis for fighting these spirals in a dynamic situation.

The design of an estimation norm to assess nurses required for educational and non-educational hospitals using workload indicators of staffing need in Iran.

BACKGROUND: One of the effective strategies in the fair distribution of human resources is the use of estimation norm of human workforce. A norm is a coefficient or an indicator for estimating the required human resources in an organization. Due to the changes in the available working hours of nurses in recent years and to use of a standard method, the Iranian Ministry of Health decided to update nursing estimation norm in hospitals in 2014-2015. This study aimed to design a nurse-required estimation norm for educational and non-educational hospitals based on the workload indicator in Iran. METHODS: This was a descriptive cross-sectional study, carried out from December 2015 to November 2016 in 49 wards in 12 educational and 17 non-educational hospitals in Mashhad, Iran. The wards and hospitals who had the best performance in nursing care quality indicators were selected. Focus group, work study, consensus, interview, and reviewing documents, staff and patient records, and the calculations of modified Workload Indicators of Staffing Needs (WISN) were used to collect the data. RESULTS: Patient care, cardiopulmonary resuscitation, and transfer out of the hospital were identified as the main activities of holding focus groups. Interviews and reviewing documents led to the identification of 10 factors associated with nurses' available working time. In both educational and non-educational hospitals, the annual working time of all nurses except nurses working in the burn and psychiatric, burn ICU, and pediatric psychiatry wards, which was 1302 h per year, was 1411 h per year. The calculations of the modified WISN method showed that the lowest norm in educational hospitals was for psychiatric, eye surgery, and dermatology wards (0.53) and in non-educational hospitals was for ENT ward (0.57). The highest norm in educational and non-educational hospitals was for burn ICU (3.95) and general ICU (3.07) wards, respectively. CONCLUSION: The nursing estimation norm in different wards of the hospital varies, considering that the time available to nurses and their workload in different wards and hospitals are different, and each ward has its special norm therefore, a single norm for all wards and hospitals cannot be used for a fair distribution of nurses.

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.

Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success?

BACKGROUND: Designing and implementing a model for estimation and distribution of required nurse is one of strategies to prevent unequal distribution of nurses within and between hospitals. The purpose of this research was to determine required features for hospital nursing staff estimation model. METHODS: We conducted a qualitative study using a Colaizzi analysis approach. We used semi-structure and in-depth interviews by purposive, quota, and snowball sampling of 32 participants (10 informed experts in area of policy making in human resources in Ministry of Health, 10 decisions making in employment and distribution of human resources in treatment and administrative chancellors of medical universities, and 12 process owners in hospitals). The data were analyzed using ATLAS.ti software version 6.0.15. RESULTS: The ten following sub-themes emerged from data analysis: Skill mix and task shifting, work measurement, legal support, stakeholder involvement in designing a model, considering the ward activity, considering type and extent of care patients required, model development by experts predominate in nursing process, considering the nurses availability, considering the capabilities and professional merits of nurses, fitness with social, cultural, and belief of people. The main themes were occupation analysis, planning and policy making, real workload, acceptability, nurses' efficiency, and being a native. CONCLUSIONS: Given that standardization of nursing staff estimation is announced as one of the challenges in reaching Iran's 20-year vision plan. Hence, design and implementation of a nursing staff estimation model in regard to identified features could be part of priorities in Ministry of Health in Iran.

Intensive Care Nurses' Belief Systems Regarding the Health Economics: A Focused Ethnography.

BACKGROUND: Health care beliefs can have an effect on the efficiency and effectiveness of nursing practices. Nevertheless, how belief systems impact on the economic performance of intensive care unit (ICU) nurses is not known. This study aimed to explore the ICU nurses' beliefs and their effect on nurse's practices and behavior patterns regarding the health economics. METHODS: In this study, a focused ethnography method was used. Twenty-four informants from ICU nurses and other professional individuals were purposively selected and interviewed. As well, 400 hours of ethnographic observations were used for data collection. Data analysis was performed using the methods described by Miles and Huberman (1994). FINDINGS: Eight beliefs were found that gave meaning to ICU nurse's practices regarding the health economics. 1. The registration of medications and supplies disrupt the nursing care; 2.Monitoring and auditing improve consumption; 3.There is a fear of possible shortage in the future; 4.Supply and replacement of equipment is difficult; 5.Higher prices lead to more accurate consumption; 6.The quality of care precedes the costs; 7. Clinical Guidelines are abundant but useful; and 8.Patient economy has priority over hospital economy. Maintaining the quality of patient care with least attention to hospital costs was the main focus of the beliefs formed up in the ICU regarding the health economics. CONCLUSIONS: ICU nurses' belief systems have significantly shaped in relation to providing a high-quality care. Although high quality of care can lead to a rise in the effectiveness of nursing care, cost control perspective should also be considered in planning for improve the quality of care. Therefore, it is necessary to involve the ICU nurses in decision-making about unit cost management. They must become familiar with the principles of heath care economics and productivity by applying an effective cost management program. It may be optimal to implement the reforms in various aspects, such as the hospital's strategic plan and supply chain management system.

Barriers against required nurse estimation models applying in Iran hospitals from health system experts' point of view.

INTRODUCTION: One of the strategies for accessing effective nursing care is to design and implement a nursing estimation model. The purpose of this research was to determine barriers in applying models or norms for estimating the size of a hospital's nursing team. METHODS: This study was conducted from November 2015 to March 2016 among three levels of managers at the Ministry of Health, medical universities, and hospitals in Iran. We carried out a qualitative study using a Colaizzi method. We used semistructured and in-depth interviews by purposive, quota, and snowball sampling of 32 participants (10 informed experts in the area of policymaking in human resources in the Ministry of Health, 10 decision makers in employment and distribution of human resources in treatment and administrative chancellors of Medical Universities, and 12 nursing managers in hospitals). The data were analyzed by Atlas.ti software version 6.0.15. RESULTS: The following 14 subthemes emerged from data analysis: Lack of specific steward, weakness in attracting stakeholder contributions, lack of authorities trust to the models, lack of mutual interests between stakeholders, shortage of nurses, financial deficit, non-native models, designing models by people unfamiliar with nursing process, lack of attention to the nature of work in each ward, lack of attention to hospital classification, lack of transparency in defining models, reduced nurses available time, increased indirect activity of nurses, and outdated norms. The main themes were inappropriate planning and policymaking in high levels, resource constraints, and poor design of models and lack of updating the model. CONCLUSION: The results of present study indicate that many barriers exist in applying models for estimating the size of a hospital's nursing team. Therefore, for designing an appropriate nursing staff estimation model and implementing it, in addition to considering the present barriers, identifying the norm required features may positively impact on norm acceptance and implementation.

Validating and determining the weight of items used for evaluating clinical governance implementation based on analytic hierarchy process model.

BACKGROUND: The purpose of implementing a system such as Clinical Governance (CG) is to integrate, establish and globalize distinct policies in order to improve quality through increasing professional knowledge and the accountability of healthcare professional toward providing clinical excellence. Since CG is related to change, and change requires money and time, CG implementation has to be focused on priority areas that are in more dire need of change. The purpose of the present study was to validate and determine the significance of items used for evaluating CG implementation. METHODS: The present study was descriptive-quantitative in method and design. Items used for evaluating CG implementation were first validated by the Delphi method and then compared with one another and ranked based on the Analytical Hierarchy Process (AHP) model. RESULTS: The items that were validated for evaluating CG implementation in Iran include performance evaluation, training and development, personnel motivation, clinical audit, clinical effectiveness, risk management, resource allocation, policies and strategies, external audit, information system management, research and development, CG structure, implementation prerequisites, the management of patients' non-medical needs, complaints and patients' participation in the treatment process. The most important items based on their degree of significance were training and development, performance evaluation, and risk management. The least important items included the management of patients' non-medical needs, patients' participation in the treatment process and research and development. CONCLUSION: The fundamental requirements of CG implementation included having an effective policy at national level, avoiding perfectionism, using the expertise and potentials of the entire country and the coordination of this model with other models of quality improvement such as accreditation and patient safety.

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.

The quality assessment of family physician service in rural regions, Northeast of Iran in 2012.

BACKGROUND: Following the implementation of family physician plan in rural areas, the quantity of provided services has been increased, but what leads on the next topic is the improvement in expected quality of service, as well. The present study aims at determining the gap between patients' expectation and perception from the quality of services provided by family physicians during the spring and summer of 2012. METHODS: This was a cross-sectional study in which 480 patients who referred to family physician centers were selected with clustering and simple randomized method. Data were collected through SERVQUAL standard questionnaire and were analyzed with descriptive statistics, using statistical T-test, Kruskal-Wallis, and Wilcoxon signed-rank tests by SPSS 16 at a significance level of 0.05. RESULTS: The difference between the mean scores of expectation and perception was about -0.93, which is considered as statistically significant difference (P≤ 0.05). Also, the differences in five dimensions of quality were as follows: tangible -1.10, reliability -0.87, responsiveness -1.06, assurance -0.83, and empathy -0.82. Findings showed that there was a significant difference between expectation and perception in five concepts of the provided services (P≤ 0.05). CONCLUSION: There was a gap between the ideal situation and the current situation of family physician quality of services. Our suggestion is maintaining a strong focus on patients, creating a medical practice that would exceed patients' expectations, providing high-quality healthcare services, and realizing the continuous improvement of all processes. In both tangible and responsive, the gap was greater than the other dimensions. It is recommended that more attention should be paid to the physical appearance of the health center environment and the availability of staff and employees.

Proactive risk assessment of blood transfusion process, in pediatric emergency, using the Health Care Failure Mode and Effects Analysis (HFMEA).

INTRODUCTION: Pediatric emergency has been considered as a high risk area, and blood transfusion is known as a unique clinical measure, therefore this study was conducted with the purpose of assessing the proactive risk assessment of blood transfusion process in Pediatric Emergency of Qaem education- treatment center in Mashhad, by the Healthcare Failure Mode and Effects Analysis (HFMEA) methodology. METHODOLOGY: This cross-sectional study analyzed the failure mode and effects of blood transfusion process by a mixture of quantitative-qualitative method. The proactive HFMEA was used to identify and analyze the potential failures of the process. The information of the items in HFMEA forms was collected after obtaining a consensus of experts' panel views via the interview and focus group discussion sessions. RESULTS: The Number of 77 failure modes were identified for 24 sub-processes enlisted in 8 processes of blood transfusion. Totally 13 failure modes were identified as non-acceptable risk (a hazard score above 8) in the blood transfusion process and were transferred to the decision tree. Root causes of high risk modes were discussed in cause-effect meetings and were classified based on the UK national health system (NHS) approved classifications model. Action types were classified in the form of acceptance (11.6%), control (74.2%) and elimination (14.2%). Recommendations were placed in 7 categories using TRIZ ("Theory of Inventive Problem Solving.") CONCLUSION: The re-engineering process for the required changes, standardizing and updating the blood transfusion procedure, root cause analysis of blood transfusion catastrophic events, patient identification bracelet, training classes and educational pamphlets for raising awareness of personnel, and monthly gathering of transfusion medicine committee have all been considered as executive strategies in work agenda in pediatric emergency.

Customers' complaints and its determinants: the case of a training educational hospital in iran.

BACKGROUND: Today, despite the efforts of the medical community and healthcare staff along with the advancements in medical technology, patients' dissatisfaction and complaints have been increased. The present study aimed at making a survey on the patients' complaints in a large training hospital affiliated to Mashhad University of Medical Sciences (MUMS). METHODS: This descriptive, cross-sectional study was conducted on written and verbal complaints of patients and their relatives in a tertiary (specialty and sub-specialty) training hospital. All the recorded patients' complaints, from March to December 2012, were reviewed. Data were categorized and analyzed using descriptive statistics by Microsoft Excel 2007. RESULTS: A total of 233 complaints were reviewed, of which 46.35%, 31.34% and 22.31%, respectively, were verbal, written and made on the phone. The main reasons for complaints were accessibility to medical staff (21.46%), communication failures (20.17%) and dissatisfaction with the provided care (14.59%). Thirty one (13.31%) cases were solved at first place, 194 (83.26%) referred to the complaints from the committee and 3.43% referred to the legal authorities. The average response time was about six to seven days. CONCLUSION: The findings of the study suggest that sufficient availability of medical staff, improvement in communication skills and paying attention to the patients' needs and expectations may reduce complaints from public health facilities.