Post-pandemic stress of COVID-19 among high-risk groups: A systematic review and meta-analysis.

BACKGROUND: Post-Traumatic Stress Disorder (PTSD) is considered as a prevalent outcome of the COVID-19 pandemic. This study aimed to present a global picture of the prevalence of PTSD in high-risk groups for COVID-19 (HRGs-COVID19) and determine its risk factors. METHODS: Cross-sectional studies published between March 11, 2020, and October 11, 2021, in English, were searched in seven databases on the prevalence of PTSD in HRGs-COVID19. After screening the retrieved records, their quality was assessed, and the required data were extracted. R-4.1.3 software and random effect model with 95 % confidence interval (CI) were used to synthesize and analyze the data. RESULTS: The pooled prevalence of PTSD in HRGs-COVID19 was 30 % (95 % CI: 21-39 %). The pooled prevalence of PTSD was significantly different in terms of the variables of data collection during the lockdown, gender, and data collection season (P < 0.05). Subgroup analyses could not identify sources of heterogeneity. LIMITATIONS: The included studies did not cover all HRGs-COVID19 such as smokers and the elderly. CONCLUSION: Considering the higher pooled prevalence of PTSD in HRGs-COVID19 than the general population, COVID-19 patients, and health care workers, prioritizing this subgroup for prevention and treatment of psychological outcomes is highly recommended. Predicting and implementing psychological interventions early in the pandemic is more critical when applying restrictive measures and among HRGs-COVID19 women.

The Impact of the Social Distancing Policy on COVID-19 Incidence Cases and Deaths in Iran from February 2020 to January 2021: Insights from an Interrupted Time Series Analysis.

Background: In December 2019, a viral outbreak occurred in China, and rapidly spread out worldwide. Due to the lack of immediately available vaccines and effective drugs, many policy- and decision-makers have focused on non-pharmacological methods, including social distancing. This study was aimed at assessing the effects of the implementation of this policy in Iran, one of the countries most affected by COVID-19. We conducted a quasi-experimental study, utilizing the interrupted time series analysis (ITSA) approach. Methods: We collected daily data between February 20, 2020 and January 29, 2021, through governmental websites from 954 public hospitals and healthcare settings. The Iranian government launched the social distancing policy on March 27, 2020. Statistical analyses, including ITSA, were carried out with R software Version 3.6.1 (London, UK). Results: During the study period, 1,398,835 confirmed incidence cases and 57,734 deaths occurred. We found a decrease of -179.93 (95% CI: -380.11 to -20.25, P-value=0.078) confirmed incidence cases following the implementation of the social distancing policy, corresponding to a daily decrease in the trend of -31.17 (95% CI: -46.95 to -15.40, P-value=0.08). Moreover, we found a decrease of -28.28 (95% CI: -43.55 to -13.01, P-value=0.05) deaths, corresponding to a daily decrease in the trend of -4.52 (95% CI: -5.25 to -3.78, P-value=0.003). Conclusion: The growth rate of confirmed incidence cases and deaths from COVID-19 in Iran has decreased from March 27, 2020 to January 29, 2021, after the implementation of social distancing. By implementing this policy in all countries, the burden of COVID-19 may be mitigated.

A mapping of facilitators and barriers to evidence-based management in health systems: a scoping review study.

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.

The effect of knowledge brokering on nurses' empathy with patients receiving cardiac care: a study protocol.

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.

Universal Health Coverage to counteract the economic impact of the COVID-19 infection: current practices and ethical challenges.

In late December 2019, the first case of an emerging coronavirus was identified in the city of Wuhan, Hubei province, in mainland China. The novel virus appears to be highly contagious and is rapidly spreading worldwide, becoming a pandemic. The disease is causing a high toll of deaths. Effective public health responses to a new infectious disease are expected to mitigate and counteract its negative impact on the population. However, time and economic-financial constraints, as well as uncertainty, can jeopardize the answer. The aim of the present paper was to discuss the role of Universal Health Coverage to counteract the economic impact of the COVID-19 infection. Appropriate financing of the health system and ensuring equitable access to health services for all can, indeed, protect individuals against high medical costs, which is one of the most important goals of any health system. Financing profoundly affects the performance of the health system, and any policy that the health system decides to implement or not directly depends on the amount of available funding. Developed countries are injecting new funding to cope with the disease and prevent its further transmission. In addition to psychological support and increased societal engagement for the prevention, control, and treatment of COVID-19, extensive financial support to governments by the community should be considered. Developed and rich countries should support countries that do not have enough financial resources. This disease cannot be controlled and contained without international cooperation. The experience of the COVID-19 should be a lesson for further establishing and achieving universal health coverage in all countries. In addition to promoting equity in health, appropriate infrastructure should be strengthened to address these crises. Governments should make a stronger political commitment to fully implement this crucial set of policies and plans.

Predicting Exclusive Breastfeeding among Iranian Mothers: Application of the Theory of Planned Behavior Using Structural Equation Modeling.

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.

Development of evidence-based health policy documents in developing countries: a case of Iran.

BACKGROUND: Evidence-based policy documents that are well developed by senior civil servants and are timely available can reduce the barriers to evidence utilization by health policy makers. This study examined the barriers and facilitators in developing evidence-based health policy documents from the perspective of their producers in a developing country. METHODS: In a qualitative study with a framework analysis approach, we conducted semi-structured interviews using purposive and snowball sampling. A qualitative analysis software (MAXQDA-10) was used to apply the codes and manage the data. This study was theory-based and the results were compared to exploratory studies about the factors influencing evidence-based health policy-making. RESULTS: 18 codes and three main themes of behavioral, normative, and control beliefs were identified. Factors that influence the development of evidence-based policy documents were identified by the participants: behavioral beliefs included quality of policy documents, use of resources, knowledge and innovation, being time-consuming and contextualization; normative beliefs included policy authorities, policymakers, policy administrators, and co-workers; and control beliefs included recruitment policy, performance management, empowerment, management stability, physical environment, access to evidence, policy making process, and effect of other factors. CONCLUSION: Most of the cited barriers to the development of evidence-based policy were related to control beliefs, i.e. barriers at the organizational and health system levels. This study identified the factors that influence the development of evidence-based policy documents based on the components of the theory of planned behavior. But in exploratory studies on evidence utilization by health policymakers, the identified factors were only related to control behaviors. This suggests that the theoretical approach may be preferable to the exploratory approach in identifying the barriers and facilitators of a behavior.

Parallel quality assessment of emergency departments by European foundation for quality management model and Iranian national program for hospital evaluation.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.