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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., (© 2024. The Author(s).)

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., (© 2024. The Author(s).)

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., (© 2024. The Author(s).)

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., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

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., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Ahadinezhad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)