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Background Hospitalization could be an unpleasant experience for patients with cardiovascular disease leading to some negative emotional reactions. These emotions can be managed by nursing empathy. There are different methods for improving empathy, but some evidence indicates a dramatic drop in nurses’ empathy. In this study, we aim to provide a protocol for investigating the effect of knowledge brokering on nurses’ empathy with patients receiving cardiac care. Methods This study protocol is developed based on SPIRIT checklist with an experimental design. The study population are nurses working in cardiac wards of three educational hospitals in western Iran, Khorramabad. The quota sampling method is used. The sample size is 100 individuals. The samples will be assigned to two intervention and comparison groups using stratified random allocation method. Permuted block randomization is used in each stratum. To prevent contamination between participants; firstly, the measurements of the comparison group is done. Knowledge brokering intervention is performed in 7 stages based on Dobbins’ knowledge translation framework 2009. Monica’s Empathy Construct Self-Rating Scale is used for measuring empathy. Statistical analyses are performed using SPSS (SPPS Inc. Chicago, Il, version 21). P value below 0.05 is considered as statistically significant. Discussion To our knowledge, there is no similar study using an experimental design to examine the efficacy of a knowledge brokering method to improve humanistic knowledge. It helps nurses to improve their empathy in caring relationships.

Background: Identifying the factors that lead to the beginning, continuing, or stopping the Exclusive Breastfeeding (EBF) by mothers can be of great assistance in the design of interventions to strengthen this behavior. The aim of this study was to predict EBF among mothers with Infants Less than Six Months of Age (ILSMA) according to the Theory of Planned Behavior (TPB). Materials and Methods: The study was a cross-sectional one that conducted among 304 mothers with ILSMA in Khorramabad-Iran in 2017 using Structural Equation Modeling (SEM). The sampling method was a combination of census, stratified random, and systematic random sampling. The data collection tool was a contextualized, valid, and reliable questionnaire according to the TPB. Data were collected by a trained interviewer. Data were analyzed using SPSS-16 and AMOS-20 software programs and SEM. Results: Perceived Behavioral Control (PBC) could explain 65% of mothers' EBF intention. Intention and PBC were able to predict 79% of the variance in EBF together. The fitness indices of EBF model in the current study were acceptable (RMSEA = 0.07, CMIN/DF = 2.58, NFI = 0.81, CFI = 0.87, and GFI = 0.83). Conclusions: TPB is an appropriate model for predicting the intention and behavior of EBF. Policy makers and health system managers are recommended for taking some measures to add a standardized questionnaire in the electronic health record to predict EBF according to TPB of pregnant women and mothers with ILSMA. In this way, they can empower primary healthcare providers to design and implement a theory-based interventional plan.

BACKGROUND:All policies and decisions need evidence examined by scientific methods. Moving toward evidence-based decision-making (EBDM) as a change in organizations, especially health systems (HSs), is inevitable. This study was conducted to identify the factors affecting EBDM in HSs from two approaches and to score them.MATERIALS AND METHODS:A mixed-method study was carried out using the force field analysis regarding the change toward EBDM in HS in 2020. This study included six steps to identify and score the key driving forces (DFs) and restraining forces (RFs) to change toward the EBDM in HS: first, finding forces from literature; second, selecting key DFs and RFs through focus group discussion; third, scoring the first group of DFs and RFs by the experts through electronic forms; fourth, determining key DFs and RFs from the managers’ perspective using qualitative interviews; fifth, scoring the second group of DFs and RFs by the experts; and sixth, comparison between forces resulted from two approaches.RESULTS:According to the literature and experts’ opinions, “relevant, reliable, interpretable, and understandable evidence” and “interaction between researchers and decision-makers” were the strongest forces to change, and “lack of organizational commitment and support” and “lack of relevant/high-quality evidence” were the strongest forces against the change toward EBDM in HS. Further, based on managers’ perspective and scores by the experts, “suitable supervision and control” and “reforming the planning and decision-making system” were the strongest forces to change, and “inadequate knowledge of the managers and staff about the principles and contents of EBDM” and “issues beyond the authorities of managers” were the strongest forces against the change toward EBDM in HS.CONCLUSIONS:Based on the findings, HSs’ managers can focus to reduce RFs and promote DFs for implementing EBDM strategies, so they can provide better services by making more efficient decisions.

SUPPORT tools consist of 18 articles addressing the health policy-makers so that they can learn how to make evidence-informed health policies. These tools have been particularly recommended for developing countries. The present study tries to explain the process of evidence utilization for developing policy documents in the Iranian Ministry of Health and Medical Education (MoHME) and to compare the findings with those of SUPPORT tools. A qualitative research was conducted, using the framework analysis approach. Participants consisted of senior managers and technicians in MoHME. Purposeful sampling was done, with a maximum variety, for the selection of research participants: individuals having at least 5 years of experience in preparing evidence-based policy documents. Face-to-face interviews were conducted for data collection. As a guideline for the interviews, 'the Utilization of Evidence in Policy-Making Organizations' procedure was used. The data were analyzed through the analysis of the framework method using MAXQDA 10 software. The participants acquired the research evidence in a topic-based form, and they were less likely to search on the basis of the evidence pyramid. To assess the quality of evidence, they did not use standard critical tools; to adapt the evidence and interventions with the local setting, they did not use the ideas and experiences of all stakeholders, and in preparing the evidence-based policy documents, they did not take into consideration the window of opportunity, did not refrain from using highly technical terms, did not write user-friendly summaries, and did not present alternative policy options. In order to develop health policies, however, they used the following innovations: attention to the financial burden of policy issues on the agenda, sensitivity analysis of the preferred policy option on the basis of technical, sociopolitical, and economic feasibility, advocacy from other scholars, using the multi-criteria decision-making models for the prioritization of policy options, implementation of policy based on the degree of readiness of policy-implementing units, and the classification of policy documents on the basis of different conditions of policy-making (urgent, short-term, and long-term). Findings showed that the process of evidence utilization in IR-MoH enjoys some innovations for the support of health policy development. The present study provides IR-MoH with considerable opportunities for the improvement of evidence-informed health policy-making. Moreover, the SUPPORT process and tools are recommended to be used in developing countries.

Introduction: Most of the studies on HIV/AIDS health care status are usually conducted in big cities while small towns and rural areas are faced with specific challenges. This study aimed to identify the barriers and problems encountered by HIV-positive patients when receiving health services in the small cities and rural areas of Iran. Methodology: This is a qualitative study that was conducted using an interpretive phenomenology method in 2016. This study was conducted through a semi-structured interview for which a purposeful sampling method was used. In the present study, data saturation was observed after 15 interviews, but more than 17 interviews were conducted to ensure the reliability of the interview. Data were analyzed by Colaizzi's method using MAXQDA10 software. Findings: Barriers and problems encountered by patients when receiving health care services consisted of 10 categories, 32 main themes and 67 sub-themes. The categories were as follows: fear of revealing the disease, fear of confronting providers, seeking support, not visiting health care providers, inappropriate behavior of health care staff, concealing the disease, hardship endurance, financial concerns, psychological stress and pressure, and disclosure of patient information. Conclusion: Recognizing the problems of HIV-positive patients in using health care services and resolving them can help to reassure the patients about the health system. Introduction of supporting policies and regulations, appropriate public education, training health sector personnel, and provision of medical equipment and facilities would positively affect the process of solving the problems of HIV-Patients (treating HIV patients).

Background: Patients with cardiovascular diseases often experience fear of death, depression and anxiety, all of which are linked to a heightened risk of future cardiac events. Research indicates that improved empathy is associated with a reduced risk of such events, making the enhancement of empathy among cardiac nurses crucial. Knowledge brokering, a strategy that utilises various interventions to strengthen practice, is key to achieving this. Purpose: This study aims to examine the impact of knowledge brokering on nurses’ empathy towards patients receiving cardiac care. Methods: This experimental study involved 100 cardiac nurses who were randomly assigned to control and intervention groups. The intervention group received knowledge brokering using Dobbin’s seven-stage method. Empathy levels were measured using the Empathy Construct Rating Scale (ECRS), with scores ranging from +252 to -252, and analysed using SPSS version 21. Results: Findings showed a significant mean empathy change score (MECS) of 22.90 ± 50.93 in the intervention group (p=0.003) compared to 7.10 ± 60.20 in the control group (p=0.408). Notably, nurses with a baseline empathy score of ≥100 in the intervention group exhibited a significantly higher adjusted MECS than the control group (11.44 units versus -15.42 units). Conclusion: Knowledge brokering can enhance empathy in moderately empathic cardiac nurses, with its effectiveness influenced by the nurses’ initial empathy levels. This study contributes to a deeper understanding of the knowledge brokering strategy in healthcare settings.

Background: Emergency and elective surgeries are vital for saving lives and enhancing patient wellbeing. However, COVID-19 pandemic disrupted the provision of surgical services in Iranian hospitals and globally. Aim: To investigate the impact of COVID-19 pandemic on emergency and elective surgical care in Iranian hospitals. Methods: Using an interrupted time series analysis, we evaluated the impact of the COVID-19 pandemic on emergency and elective surgeries in western Islamic Republic of Iran between January 2017 and December 2023, using February 2020 as the intervention point. We analysed the data with R software Version 4.3.2 and used a segmented regression model to analyse the pre-and post-COVID-19 trends, ensuring the reliability of results by using Durbin-Watson statistic and autocorrection techniques. P < 0.05 was considered statistically significant. Results: Pre-pandemic, the mean monthly number of emergency surgeries was 258.9. Due to the pandemic there was a significant decrease by 359.6; however, we observed a gradual recovery in surgical activity with an average increase of 15.8 surgeries above the pre-pandemic levels. The mean monthly number of elective surgeries before the pandemic was 199.5. After the onset of the pandemic, we found a significant decrease of 85.37, although there was a gradual recovery over time. Conclusion: The COVID-19 pandemic significantly impacted surgical services in Iranian hospitals, causing a reallocation of resources to COVID-19 care and postponement of non-urgent surgeries. There is a need for strategic planning and policy interventions to ensure continuity of surgical care during health emergencies.

Background Healthcare settings are complex, and the decision-making process is usually complicated, too. Precise use of best evidence from different sources for increasing the desired outcomes is the result of EBM. Therefore, this study aimed to map the potential facilitators and barriers to EBM in health systems to help the healthcare managers to better implement EBM in their organizations. Methods The present study was a scoping review (SR) conducted in 2020 based on the integration of the frameworks presented by Arksey and O’Malley (2005) and Levac et al. (2010) considering the Joanna Briggs Institute guideline (2015). These frameworks consist of 6 steps. After finalizing the search strategy, 7 databases were searched, and the PRISMA-ScR was used to manage the retrieval and inclusion of the evidence. Microsoft Excel 2013 was used to extract the data, and the graphic description was presented. The summative analysis approach was used applying MAXQDA10. Results According to the systematic search, 4815 studies were retrieved after eliminating duplicates and unrelated articles, 49 articles remained to extract EBM facilitators and barriers. Six main aspects attitude toward EBM, external factors, contextual factors, resources, policies and procedures, and research capacity and data availability were summarized as EBM facilitators. The barriers to EBM were similarly summarized as attitude toward EBM, external factors, contextual factors, policies and procedures, limited resources, and research capacity and data availability. The streamgraphs describe that the international attention to the sub-aspects of facilitators and barriers of EBM has been increased since 2011. Conclusions The importance of decision-making regarding complex health systems, especially in terms of resource constraints and uncertainty conditions, requires EBM in the health system as much as possible. Identifying the factors that facilitate the use of evidence, as well as its barriers to management and decision-making in the organization, can play an important role in making systematic and reliable decisions that can be defended by the officials and ultimately lead to greater savings in organization resources and prevent them from being wasted.

Background Scientific evidence is the basis for improving public health; decision-making without sufficient attention to evidence may lead to unpleasant consequences. Despite efforts to create comprehensive guidelines and models for evidence-based decision-making (EBDM), there isn`t any to make the best decisions concerning scarce resources and unlimited needs . The present study aimed to develop a comprehensive applied framework for EBDM. Methods This was a Best-Fit Framework (BFF) synthesis conducted in 2020. A comprehensive systematic review was done via six main databases including PUBMED, Scopus, Web of Science, Science Direct, EMBASE, and ProQuest using related keywords. After the evidence quality appraisal, data were extracted and analyzed via thematic analysis. Results of the thematic analysis and the concepts generated by the research team were then synthesized to achieve the best-fit framework applying Carroll et al. (2013) approach. Results Four thousand six hundred thirteen studies were retrieved, and due to the full-text screening of the studies, 17 final articles were selected for extracting the components and steps of EBDM in Health System Management (HSM). After collecting, synthesizing, and categorizing key information, the framework of EBDM in HSM was developed in the form of four general scopes. These comprised inquiring, inspecting, implementing, and integrating, which included 10 main steps and 47 sub-steps. Conclusions The present framework provided a comprehensive guideline that can be well adapted for implementing EBDM in health systems and related organizations especially in underdeveloped and developing countries where there is usually a lag in updating and applying evidence in their decision-making process. In addition, this framework by providing a complete, well-detailed, and the sequential process can be tested in the organizational decision-making process by developed countries to improve their EBDM cycle.

European Foundation for Quality Management (EFQM) model is a widely used quality management system (QMS) worldwide, including Iran. Current study aims to verify the quality assessment results of Iranian National Program for Hospital Evaluation (INPHE) based on those of EFQM. This cross-sectional study was conducted in 2012 on a sample of emergency departments (EDs) affiliated with Tehran University of Medical Sciences (TUMS), Iran. The standard questionnaire of EFQM (V-2010) was used to gather appropriate data. The results were compared with those of INPHE. MS Excel was used to classify and display the findings. The average assessment score of the EDs based on the INPHE and EFQM model were largely different (i.e. 86.4% and 31%, respectively). In addition, the variation range among five EDs' scores according to each model was also considerable (22% for EFQM against 7% of INPHE), especially in the EDs with and without prior record of applying QMSs. The INPHE's assessment results were not confirmed by EFQM model. Moreover, the higher variation range among EDs' scores using EFQM model could allude to its more differentiation power in assessing the performance comparing with INPHE. Therefore, a need for improvement in the latter drawing on other QMSs' (such as EFQM) strengths, given the results emanated from its comparison with EFQM seems indispensable.