A model of the organizational resilience of hospitals in emergencies and disasters.

BACKGROUND: In the health system, hospitals are intricate establishments that offer vital medical services. Their resilience plays a crucial role in mitigating the societal repercussions of disasters. A hospital must possess the capacity to withstand risks, preserve its fundamental structure and operations, and enhance its preparedness by augmenting various capabilities and promptly recovering from the impacts of potential risks. It enables the hospital to attain a heightened level of readiness. Therefore, this study aimed to develop a resilience model tailored for hospitals to navigate crises and disasters effectively. METHODS: This mixed-method study was conducted in 2023 in three phases: (1) Identification of the factors influencing the organizational resilience of the hospital, (2) Evaluation of the influential factors by an expert panel. (3) Following the standardization process, we administered 371 questionnaires to individuals, such as university staff managers and supervisors, nursing managers, and research unit managers. The sample size was determined by multiplying the components by 10, resulting in 360 (10 * 36). Therefore, we selected a sample size of 371 participants. Structural Equation Modeling (SEM) was employed to examine the causal relationships between variables. These steps were performed using SPSS 25.0 and AMOS 22 software. Finally, we identified and presented the final model. We utilized AMOS 22 and applied the SEM to assess the correlation between the variables, with a significance level of 0.05. RESULTS: Findings indicate that the appropriate modeling identified five dimensions comprising 36 components. These dimensions include vulnerability, preparedness, support management, responsiveness and adaptability, and recovery after the disaster. The model demonstrates a good fit, as indicated by the X2/d indices with a value of 2.202, a goodness of fit index (GFI) of 0.832, a root mean square error of estimation (RMSEA) of 0.057, an adjusted comparative fit index (CFI) of 0.931, and a smoothed fit index (NFI) of 0.901. CONCLUSION: Enhancing hospital resilience is crucial for effective preparedness and response to accidents and disasters. Developing a localized tool for measuring resilience can help identify vulnerabilities, ensure service continuity, and inform rehabilitation programs. The proposed model is a suitable framework for assessing hospital resilience. Key factors include human resource scarcity, hospital specialization, and trauma center capacity. Hospitals should prioritize efficient resource allocation, information technology infrastructure, in-service training, waste management, and a proactive organizational framework to build resilience. By adopting this approach, hospitals can better respond to crises and disasters, ultimately reducing casualties and improving overall preparedness.

Developing a community-responsive research model in the healthcare system: a mixed-method study.

BACKGROUND: Responsiveness to the population's non-clinical needs encompasses various dimensions, including responsive research and an educational outreach plan at the community level. This study aims to develop a community-responsive research model in the healthcare system to ensure the connection between community-identified health priorities and research funds, as well as capacity-building efforts. METHODS: A mixed-methods research study was conducted in three main phases, including a comprehensive literature review, a qualitative analysis of an expert panel's points of view, and the developing of a model using the Equation Modeling (SEM) technique. R software version 3.2.4 was used to conduct statistical analysis, considering a significance level of 0.05. RESULTS: Based on the literature review, 41 responsiveness components were identified from sixteen relevant studies conducted between 2000 and 2022. Ten sub-themes in four major themes, including planning, implementation, monitoring and evaluation, and action, were identified through qualitative content analysis. Standardized coefficients revealed that components such as dissemination of results to all stakeholders, research prioritization aligned with community needs, commitment to implement research findings, and collaborative learning had statistically significant effects on the community-responsive research model. CONCLUSION: It is essential to identify community health priorities by following a community-focused, priority-setting process based on the principles of community engagement to develop a community-responsive research model. Afterward, dissemination of research findings to all stakeholders, commitment to apply the obtained results in the real world, and promotion of shared learning among research partners have been proven to facilitate collaborative investigation and mutual understanding between the community and academic partners.

Developing a responsive model to societal needs in medical education.

BACKGROUND: Responsiveness is relevant in the context of treatment and the provision of medical services. However, if we delve deeper into the subject, we must establish and develop responsiveness within the medical sciences education system. This study aims to identify the dimensions that significantly impact responsiveness in the medical education system based on a comprehensive review and expert opinions in healthcare. METHODS: The present research is descriptive-analytical in terms of its objective and follows a mixed-method approach. This study was conducted in three stages. Initially, we utilized relevant keywords related to education in databases, such as Web of Science, Scopus, ScienceDirect, OVID, CINHAL, EBSCO, Google Scholar, Iranmedex, SID, and Irandoc. Subsequently, in the expert panel session stage, the factors influencing responsiveness were identified in the comprehensive review stage, and with this thematic background, they were conceptualized. Finally, the Confirmatory Factor Analysis (CFA) technique was employed to coherently examine the relationships between variables and present the final model. RESULTS: We obtained 32 articles from the comprehensive review of studies. Four components in planning, implementation, monitoring and evaluation, and intersectoral cooperation were identified based on expert panel opinions. Based on the standardized coefficients, the components of research-based educational planning, community-oriented education evaluation indicators, and utilization of modern educational methods are statistically significant. CONCLUSION: The establishment and development of responsiveness in the medical sciences education system involve training specialized and responsive human resources through innovative educational methods that have sufficient familiarity with the multidimensional concepts of health and how to achieve them. This approach allows for practical and responsible steps toward training competent and committed physicians in line with the needs of society. On the other hand, responsiveness in the medical sciences education system can be improved by enhancing research-based educational planning and developing community-oriented evaluation indicators that can assess the number of revised educational programs based on societal needs. Therefore, understanding the critical elements in revising medical education programs, which play the most significant role in addressing societal needs and responding to changing disease patterns and new health priorities, is both a necessity and an important priority.

Are behavioral economics interventions effective in increasing colorectal cancer screening uptake: A systematic review of evidence and meta-analysis?

Various interventions have been investigated to improve the uptake of colorectal cancer screening. In this paper, the authors have attempted to provide a pooled estimate of the effect size of the BE interventions running a systematic review based meta-analysis. In this study, all the published literatures between 2000 and 2022 have been reviewed. Searches were performed in PubMed, Scopus and Cochrane databases. The main outcome was the demanding the one of the colorectal cancer screening tests. The quality assessment was done by two people so that each person evaluated the studies separately and independently based on the individual participant data the modified Jadad scale. Pooled effect size (odds ratio) was estimated using random effects model at 95% confidence interval. Galbraith, Forrest and Funnel plots were used in data analysis. Publication bias was also investigated through Egger's test. All the analysis was done in STATA 15. From the initial 1966 records, 38 were included in the final analysis in which 72612 cases and 71493 controls have been studied. About 72% have been conducted in the USA. The heterogeneity of the studies was high based on the variation in OR (I2 = 94.6%, heterogeneity X2 = 670.01 (d.f. = 36), p < 0.01). The random effect pooled odds ratio (POR) of behavioral economics (BE) interventions was calculated as 1.26 (95% CI: 1.26 to 1.43). The bias coefficient is noteworthy (3.15) and statistically significant (p< 0.01). According to the results of this meta-analysis, health policy and decision makers can improve the efficiency and cost effectiveness of policies to control this type of cancer by using various behavioral economics interventions. It's noteworthy that due to the impossibility of categorizing behavioral economics interventions; we could not perform by group analysis.

What rate of Iranian women perform Pap smear test? Results from a meta-analysis.

In this study, an attempt was made to estimate the aggregated proportion of Pap smear test uptake among women in Iran from 2012 to 2022 using meta-analysis. The data collection process involved reviewing records registered in databases between January 1, 2012, and September 11, 2022. The final data was analyzed using random effects models, and potential heterogeneity was assessed using the I2 index. To examine publication bias, Egger's test and Funnel Plot were employed. Sensitivity analysis, specifically single study exclusion Meta-analysis, was conducted to assess the influence of each individual study on the aggregated percentage of Pap smear test uptake. A total of 28,754 women were included across the 33 articles analyzed. The pooled percentage of Pap smear test uptake for both one-time and regular screenings was found to be 46.52% (95% CI: 40.91 to 52.14) and 17.80% (95% CI: 12.42 to 23.18), respectively. No significant evidence of publication bias was detected, although the influence of smaller studies was confirmed. Sensitivity analysis indicated that the overall rate of Pap smear test uptake was not highly sensitive to the results of individual studies. The findings emphasize the low rate of regular Pap smear testing among Iranian women and suggest that tailored interventions considering cultural and geographical factors specific to different provinces in Iran could help increase the utilization of this screening service.

Socioeconomic Inequalities in Cancer Incidence: A Comparative Investigation Based on Population of Iranian Provinces.

Cancer is the second important cause of death worldwide. Cancer is one of the top health priorities in Iran. We aimed to study the socio-economic inequality of cancer incidence in Iran provinces. We conducted this cross-sectional study using provincial data. We obtained the required data from the statistical yearbook report, the Statistics Center Report and the National Cancer Registration Program Report of Iran's Ministry of Health and Medical Education (MoHME) for 2018. Socio-economic inequality of cancer incidence was analyzed by estimating the concentration index and extracting the concentration curve. Statistical analyzes were performed using STATA 14. Our findings revealed that cancer incidence was unequally distributed in terms of the socio-economic status in Iranian provinces. Cancer incidence is slightly concentrated in the provinces with higher than average literacy, per capita income and insurance coverage and household size below average. The concentration of cancer incidence has been to the detriment of the provinces that have a slightly better ranking in terms of the socio-economic index. The employment rate did not significantly affect cancer's distribution burden. We recommend policymakers facilitate early cancer detection by providing insurance coverage for screening services, payment exemptions, and public awareness.

What is the uptake rate of breast self-examination in Iranian women? Estimation based on systematic review and meta-analysis.

BACKGROUND: Breast self-examination is a simple, painless, confidential and inexpensive screening method for early diagnosis that does not require specialized tools and equipment. In this study, we have estimated the pooled percentage of breast self-examination (BSE) in Iranian women. METHODS: All the published literatures between 2012 and 2022 have been reviewed. Searches were performed in PubMed, Web of Science, ProQuest, Science Direct, Google Scholar, Scientific Information and Magiran databases. The effect size was the pooled percentage of breast self-examination (BSE). In order to check the heterogeneity, the estimation of the I2 index and extraction of the Galbraith plot were used, and the drivers of heterogeneity have been identified through meta-regression and estimates were made based on subgroups. All the analysis was done in STATA 15. RESULTS: From the initial 294 records, 38 were included in the final analysis in which 9960 women have been studied. The heterogeneity of the studies was high based on the variation in OR (I2 = 98.4%, heterogeneity X2 = 2278.21 (d.f. = 37), p < 0.01). The pooled rate of BSE based on fixed and random methods was obtained as 15.46 (95% CI: 14.83 to 16.09) and 24.74 (95% CI: 19.62 to 29.86) percent, respectively. The highest pooled percentage BSE (39.41%, 95% CI: 30.98 to 47.83) was obtained from studies that investigated the action phase in the Trans theoretical model. The pooled percentage obtained from the studies conducted in the central regions of Iran was higher than other cities (27.47%, 95% CI: 17.38 to 37.55). CONCLUSION: The result from our analysis determined that performing breast self-examination in Iranian women is low. Health policy makers can increase the rate of breast self-examination in Iran by implementing basic educational programs in schools and encouraging and justifying women in social health centers.

Developing decision model for the outsourcing of medical service delivery in the public hospitals.

BACKGROUND: The decision to outsource an activity is one of the most complex organizational decisions. This decision is also influenced by several factors and components. In order to facilitate and optimize it, for the first time in this study, a decision model for outsourcing medical service delivery in public hospitals has been developed. METHODS: We conducted this cross-sectional study in 3 stages: 1) We identified the factors affecting the outsourcing decisions, 2) an expert panel identified the influential factors. After standardization, we distributed 220 questionnaires among university staff managers and heads, nursing managers, and managers of the research units, and 3) Structural Equation Model applied to evaluate the relationship between the variables on AMOS22, at 0.05 significant level. RESULTS: Findings indicated the optimal level of all fit indices. The path coefficient between all identified factors with the outsourcing decision was positive (t > 1.96). Factors ranging from the most effective to least effective included monitoring and control, service type, human resource, economic and financial, executive capability, external environment, and terms and conditions. CONCLUSION: The proposed model provides unit evaluation to make the appropriate decision on outsourcing or non-outsourcing. Control and monitoring were the most determining factors. We recommend performing monitoring continuously as a guide and deterrent to error. We also recommend continuous monitoring and control over the quality of outsourced units and stakeholder satisfaction.

Social distance capacity to control the COVID-19 pandemic: A systematic review on time series analysis.

BACKGROUND: Reducing interpersonal contact has been one of the least expensive and most widely used COVID-19 control strategies. OBJECTIVE: This systematic review has been conducted with the aim of identifying social distancing strategies and policies and their impact on the COVID-19 pandemic. METHODS: In order to compile this systematic review, Google Scholar, PubMed, Scopus, Web of Science, Science Direct, Magiran, SID, and Irandoc databases were searched from the COVID-19 outbreak until March 2021. Keywords included "social", "physical", "distance", "outbreak", "incidence", "prevalence", "spread", "new case", "death*", "mortality*", "morbidity*" , "covid-19", "coronavirus", "sars-cov-2" and "time series*". The articles were qualitatively evaluated by two researchers using the STROBE tool. Finally, the study data were divided into three conceptual categories by three researchers, who then agreed on one category. The practical suggestions were also categorized in the same way. RESULTS: The policies and strategies adopted to implement social distancing were included in five categories of restrictions, prohibitions, closures, incentives, and punishments. Transportation and travel restrictions, crowded places and schools closure, use of telecommunications and virtual communications, and financial and psychological support to society members were the main policies in this area. CONCLUSION: Rapid and complete vaccination of all people around the world is out of reach, therefore social distancing and the implementation of physical restraints, especially in crowded and densely populated environments, should be done extensively until COVID-19 is eradicated.

Implicit racial bias among medical graduates and students by an IAT measure: a systematic review and meta-analysis.

INTRODUCTION: Racial implicit bias is an unconscious response and behavior that affects interpersonal interactions and clinical decision-making. AIMS: We attempted to meta-analyze the scores of implicit association test (IAT) to estimate pooled quantity of implicit racial bias among medical graduates and students METHODS: As far as we know, our study is the first systematic-based meta-analysis estimating the pooled score of implicit racial bias among physicians and medical students. Keywords were searched in Scopus, Web of Science, Google Scholar, PubMed, Science Direct, Cochrane, MEDLINE, Wiley online library, and ProQuest databases from 2011 since 2021. The IAT's pooled score estimates through a fixed-effect meta-analysis using STATA 15. Also, I2 statistic was used to determine heterogeneity across the articles. RESULTS: Out of 1177 articles, 29 studies entered to analysis. The pooled score of IAT among physicians and medical students was 0.28 (95% CI 0.13 to 0.43) and 0.35 (95% CI 0.03 to 0.67), respectively. The racial bias score of physician ranged from -0.12 to 0.62. While score of implicit association test for medical student ranged from -0.01 to 1.29. CONCLUSION: Our meta-analysis revealed that there was an implicit anti-black attitude among physicians and medical students, but the size of this implicit racial bias was small. Although the level of racial bias in physicians and medical students was low, it could be reduced to the lowest level through informative programs and training in ways to control implicit attitudes.

Predicting Inpatient Length of Stay in Iranian Hospital: Conceptualization and Validation.

OBJECTIVE: The length of stay is an important indicator of hospital performance and efficiency. Regarding the importance of the length of stay, this study aimed to design a structural model of the inpatients' length of stay in the educational and therapeutic health care facilities of Iran in order to identify the influencing dimensions. METHODS: The present study was an analytical and applied study. The face validity of the data gathering tool was investigated by the expert judgment and the construct validity was examined by using the exploratory factor analysis. In order to verify the reliability of the tool, the internal consistency was also trialed by using the Cronbach's alpha. For ranking the influencing dimensions and factors and also in order to examine the causal relationships between the variables in a coherent manner and presenting the final model, the structural equation modeling technique was used in AMOS software at a significant level of 0.05. RESULTS: The mentioned structural model consists of 4 dimensions and 29 factors influencing the length of stay of hospitalized patients. The independent variables are based on priority and importance as follows: patients' conditions, the underlying factors, the clinical staff performance, and hospitals' service delivery, which were examined by second-order factor analysis in order to study the relationship between them and the inpatients' length of stay. CONCLUSION: Considering the importance of each one of the proposed dimensions from the point of view of service providers in some therapeutic centers of the country by paying attention to the role of each one of them in preventing prolonged hospitalization can be essential in the effectiveness of the treatment and cost reduction.
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Front-line staff's perspective on patient safety culture in Iranian medical centers: A systematic review and meta-analysis.

BACKGROUND: The prerequisite for promoting safety culture is to assess the existing safety culture level of institutes, because safety precautions without appropriate evaluation increase costs and unforeseen risks. OBJECTIVE: This study aimed to systematically review the status of patient safety culture from the perspective of clinical personnel at Iranian hospitals through a meta-analysis of studies using the Hospital Survey on Patient Safety Culture (HSOPSC) questionnaire. METHODS: The present systematic review and meta-analysis was conducted in 2018. Data were gathered by searching Google Scholar, Scopus, PubMed, and Web of Science databases up to November 2018. Search keywords were "patient", "safety", "culture", "healthcare", "hospital", "medical center", "HSOPSC tool", and "Iran". The search protocol was limited to 10 years. To estimate the PSC score, computer software CMA:2 (Comprehensive Meta-Analysis) was used. The presence of heterogeneity across the studies was assessed with the I2 statistic. A forest plot was used to report the results. Publication bias was assessed through a funnel plot. RESULTS: The meta-analysis of studies showed that the PSC score based on the random effect model was 52.7% (95% CI: 50.2%-55.2%), (Q = 522.3, df = 54, P < 0.05, I2 = 89.6). A mean of 12 dimensions of HSOPSC showed that the "Teamwork within units" dimension had the highest PSC score (67.2%) and "Non-punitive response to error" had the lowest score (40.4%). CONCLUSIONS: Managers and policymakers should be directed towards non-punitive responses to errors and persuade staff to report errors and execute the approach to learn from mistakes. Also, a periodic government evaluation of the patient safety culture will help further its sustainable development.

Make Intelligent of Gastric Cancer Diagnosis Error in Qazvin's Medical Centers: Using Data Mining Method.

Objective: Gastric cancer is one of the most common types of cancers, which will result in irreparable harm in the case of misdiagnosis or late diagnosis. The purpose of this study is to investigate the capability of data mining techniques and disease risk factor characteristics to predict and diagnose the gastric cancer. Methods: In this retrospective descriptive-analytic study, we selected 405 samples from two groups of patient and healthy participants. A total of 11 characteristics and risk factors were examined. we used four Machine learning methods, Include support vector machine (SVM), decision tree (DT), naive Bayesian model, and k nearest neighborhood (KNN) to classify the patients with gastric cancer. The evaluation criteria to investigate the model on the database of patients with gastric cancer included Recall, Precision, F-score, and Accuracy. Data was analyzed using MATLAB® software, version 3.2 (Mathworks Inc., Natick, MA, USA). Results: Based on the results achieved from the evaluation of four methods, the accuracy rates of SVM, DT, naive Bayesian model, and KNN algorithms were 90.08, 87.89, 87.60, and 87.60 percent, respectively. The findings showed that the highest level of F-Score was related to the SVM (91.99); whereas, the lowest rate was associated with the KNN algorithm (87.17). Conclusion: According to the findings, the SVM algorithm showed the best results in classification of Test samples. So, this intelligent system can be used as a physician assistant in medical education hospitals, where the diagnosis processes are performed by medical students.

Factors Affecting Use of Telemedicine and Telesurgery in Cancer Care (TTCC) among Specialist Physicians

Background: Considering the increasing incidence of different cancers, use of modern technologies such as TTCC can make a dramatic change in treatment of these diseases. So, if the evolution strategy conflicts with the organizational culture, national culture, and organizational structure of experts in this field, resistance will rise. Objective: The purpose of this study was to determine the effective factors on the use of TTCC in hospitals affiliated to Tehran University of Medical Sciences using the AHP model. Materials and Methods: This current descriptive study was carried out in 2018 on specialist physicians from five hospitals of Tehran University of Medical Sciences. The data gathering tool was a questionnaire consisting of two sections; demographic items and 27 effective factors influencing the implementation of TTCC technology, which was evaluated for validity and reliability. Data analysis was performed using analytical hierarchy process with expert choice and for empirical illustration are used to discuss the use of covariance-based SEM versus smart PLS software. Results: Based on AHP comparisons in the studied factors, the highest priority was the Cultural factor. In other words, commitment of senior executives to support the provision of a new technology with a weight of 0.327. The lowest priority, however, was related to support diverse approaches, innovation, creativeness, and acceptance of new ideas with a weight of 0.038. In regard with technical and organizational factors, out-of-hospital access to the intranet network and support provided by the doctors, with the weight of 0.221 and 0.205 in order, acquired the highest rates. Conclusion: Considering the high prevalence of cancer in Iran and the necessity of using new technologies in its treatment and by addressing the specialists' views and opinions in this field, organizational and national culture in the application of TTCC technology should be promoted. This target can be hit through acceptance, change in attitude, and successful use of TTCC technology by medical professionals.

Role of Organizational Climate in Job Involvement: A Way to Develop the Organizational Commitment of Nursing Staff.

Employees are the most valuable assets of an organization; therefore, it is very important to understand their behavior. In this regard, the present study was carried out in order to examine the effect of organizational climate on job involvement among nurses working in the teaching hospitals of Qazvin Province, Iran. The present descriptive analytical study was done in 2017. To randomly select a specific proportion of nurses from each of Qazvin teaching hospitals, stratified sampling was used. In total, 340 nurses were selected. Data were collected using 3 questionnaires: Halpin and Kraft Organizational Climate Questionnaire, Job Involvement Questionnaire (Kanungo), and Allen and Myer Organizational Commitment Questionnaire. For data analysis, confirmatory factor analysis and structural equation modeling were used applying AMOS-24 software. The results of path analysis showed the effect of organizational climate on the nurses' job involvement. Moreover, organizational climate influenced organizational commitment through the mediation of job involvement. According to values obtained for degree of freedom based on chi-square, goodness-of-fit index, root mean square error of approximation, and comparative fit index were in the defined range; therefore, the validity of the conceptual model was approved. Based on the results of the present study, managers of health organizations can achieve their goals by understanding the organizational climate of the hospitals and its effect on the employees' job involvement and discovering strategies needed for organizational commitment improvement.

Developing a model for hospital inherent safety assessment: Conceptualization and validation.

BACKGROUND: Paying attention to the safety of hospitals, as the most crucial institute for providing medical and health services wherein a bundle of facilities, equipment, and human resource exist, is of significant importance. OBJECTIVE: The present research aims at developing a model for assessing hospitals' safety based on principles of inherent safety design. METHODS: Face validity (30 experts), content validity (20 experts), construct validity (268 examples), convergent validity, and divergent validity have been employed to validate the prepared questionnaire; and the items analysis, the Cronbach's alpha test, ICC test (to measure reliability of the test), composite reliability coefficient have been used to measure primary reliability. The relationship between variables and factors has been confirmed at 0.05 significance level by conducting confirmatory factor analysis (CFA) and structural equations modeling (SEM) technique with the use of Smart-PLS. RESULTS: R-square and load factors values, which were higher than 0.67 and 0.300 respectively, indicated the strong fit. Moderation (0.970), simplification (0.959), substitution (0.943), and minimization (0.5008) have had the most weights in determining the inherent safety of hospital respectively. CONCLUSIONS: Moderation, simplification, and substitution, among the other dimensions, have more weight on the inherent safety, while minimization has the less weight, which could be due do its definition as to minimize the risk.

Survey of Cancer Patient Safety Culture: A Comparison of Chemotherapy and Oncology Departments of Teaching Hospitals of Tehran

Background: Patient safety culture plays an important role in healthcare systems, especially in chemotherapy and oncology departments (CODs), and its assessment can help to improve quality of services and hospital care. Objective: This study aimed to evaluate and compare items and dimensions of patient safety culture in the CODs of selected teaching hospitals of Iran and Tehran University of Medical Sciences. Materials and Methods: This descriptive-analytical crosssectional survey was conducted during a six-month period on 270 people from chemotherapy and oncology departments selected through a cluster sampling method. All participants answered the standard questionnaire for "Hospital Survey of Patient Safety Culture" (HSOPSC). Statistical analyses were performed using SPSS/18 software. Results: The average score for patient safety culture was three for the majority of the studied CODs. Statistically significant differences were observed for supervisor actions, teamwork within various units, feedback and communications about errors, and the level of hospital management support. (p<0.05). Relationships between studied hospitals and patient safety culture were not statistically significant (p>0.05). Conclusion: Our results showed that the overall status of patient safety culture is not good in the studied CODs. In particular, teamwork across different units and organizational learning with continuous improvement were the only two properly operating items among 12 dimensions of patient safety culture. Therefore, systematic interventions are strongly required to promote communication.

Role of transformational leadership on employee productivity of teaching hospitals: using structural equation modeling.

BACKGROUND: In today's transforming world, increased productivity and efficient use of existing facilities are practically beyond a choice and become a necessity. In this line, attention to change and transformation is one of the affecting factors on the growth of productivity in organizations, especially in hospitals. AIM: To examine the effect of transformational leadership on the productivity of employees in teaching hospitals affiliated to Iran University of Medical Sciences. METHODS: This cross-sectional study was conducted on 254 participants from educational and medical centers affiliated to Iran University of Medical Sciences (Tehran, Iran) in 2016. The standard questionnaires of Bass & Avolio and of Hersi & Goldsmith were used to respectively assess transformational leadership and level of productivity. The research assumptions were tested in a significance level of 0.05 by applying descriptive statistics and structural equations modeling (SEM) using SPSS 19 and Amos 24. RESULTS: Results of the fitting indicators of the assessing model after amending includes Chi-square two to degrees of freedom of 2.756, CFI indicator 0.95, IFI indicator 0.92, Root mean square error of approximation (RMSEA) indicator 0.10. These results indicate that the assessing model is well fitting after the amendment. Also, analysis of the model's assumptions and the final model of the research reveals the effect of transformational leadership on employees' productivity with a significance level of 0.83 (p=0.001). CONCLUSION: This research indicates that the more the leadership and decision-making style in hospitals lean towards transformational mode, the more positive outcomes it brings among employees and the organization due to increased productivity. Therefore, it is essential to pay focused attention to training/educational programs in organizations to create and encourage transformational leadership behaviors which hopefully lead to more productive employees.

The structure of the pharmaceutical market in Iran using concentration indices.

BACKGROUND AND OBJECTIVE: The efficiency and function of the pharmaceutical sector, as a vital portion of the health system, have a significant effect on intermediate and final indices of health. In this research, the structure of the pharmaceutical market in Iran was examined through the calculation of concentration indices in 2011. METHODS: In this cross-sectional study, the needed data was gathered from the Food and Drug Administration in the year 2011. Data were analyzed using SPSS software version 20 and Microsoft Office Excel software. Finally, two common measures of market concentration, the Concentration Ratio and the Herfindahl-Hirschman Index, were calculated. RESULTS: The largest and the smallest shares of the industry were 5.57% and 0.01%, respectively. The average industry share was 1.09%. The share range was calculated to be 5.56%. The Herfindahl-Hirschman Index was 248.5, which indicates a very low concentration of the pharmaceutical market in Iran. Also, based on the Concentration Ratio of 4 companies (18.39%), the concentration of the pharmaceutical market has been too low. CONCLUSION: The pharmaceutical market in Iran has a very low concentration and it does not have an exclusive mode in terms of market structure. Therefore, it can be attributed to the competitive model. The policy makers in this area can use this characteristic as a leverage to improve efficiency, fairness, revenue and health indices.

Factors affecting length of stay in teaching hospitals of a middle-income country.

INTRODUCTION: The length of stay (LOS) in hospitals is a widely used and important criteria for evaluating hospital performance. The aim of this study was to determine factors affecting LOS in teaching hospitals of Qazvin Providence. METHODS: In this cross-sectional study, patients' health records were randomly selected from archives in teaching hospitals of Qazvin in 2013. Data were collected through a data entry form and were analyzed using Kolmogorov-Smirnov, Kruskal-Wallis, and Mann-Whitney U tests at the significant level of 0.05. RESULTS: The mean of hospital LOS was 5.45 ± 6.14 days. Age, employment, marital status, history of previous admission, patient condition at discharge, method of payment, and type of treatment had an impact on LOS (p<0.05). Other factors, including gender, place of residence, and type of admission, did not affect LOS. CONCLUSION: Because hospitals consume a perceptible part of resources in a health system, controlled and optimized use of its resources help to save a lot. Therefore, this study showed many clinical and nonclinical factors affect LOS in evaluating these factors, which may reduce inappropriate hospital stays and decrease costs.