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BackgroundBreast cancer (BC) is the most common cancer among women worldwide. We conducted a systematic review and meta-analysis to cover the existing research gap and contribute to existing knowledge to provide both researchers and clinicians with a better profile on the topic and consequently help improve the quality of life (QoL) of patients with BC.MethodsA comprehensive review of original articles published in English from January 2000 to October 2021 from databases including Embase, Scopus, PubMed and Web of Science was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.ResultsBased on the meta-regression which examined a total of 9012 patients with BC, the QoL score calculated by EORTC QLQ-C30 was 64.72 (95% CI 59.24 to 70.20), while the score obtained from FACT-B was 84.39 (95% CI 64.24 to 104.54) and the scores from QLQ-BR23 and SF-36 were 66.33 (95% CI 62.76 to 69.90) and 57.23 (95% CI 47.65 to 66.82), respectively. A meta-analysis affirmed a significant direct relationship between the QoL score of patients with BC and their age (p=0.03). The results also revealed that the QoL scores of patients who had completed treatment were higher than those who were currently under treatment.ConclusionThe present systematic review identified several factors that affect the QoL of women with BC worldwide and provided several implications for developing policy interventions to effectively improve the QoL of women with BC. In this way, clinicians can sufficiently give advice to their patients with the purpose of improving their QoL.PROSPERO registration number CRD42022309791.

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Introduction : Risk management is a frequent and step-by-step process that helps system managers improve decision-making in times of risk. During this process, the risk of errors is reduced, and Opportunities for improvement are increased. Given the increasing importance of patient safety and the role of risk management in reducing medical errors and treatment costs, this study was conducted to identify the executive framework of active risk management in the operating room of hospitals from the perspective of experts and administrative staff. Method This qualitative phenomenological study was conducted with a targeted sampling method and included 20 experts and executive staff as the study sample. Data were collected using a researcher-developed semi-structured interview and were analyzed using the framework analysis method. Results The results showed that active risk management consists of four components, including types of risks, principles, processes, and risk management framework in the operating room with 27 main themes based on the standard classification for types of risks (the Eight Risk Domains of Enterprise), principles, processes, and framework) principles, framework, and risk management process from ISO 3100( and 115 sub-themes. Conclusion By identifying different types of risks, analyzing and reporting them continuously, implementing the principles and framework of clinical risk management, creating an open and fair safety culture to achieve patient safety, creating programs and policies for error reporting, continuous training, skill development, institutionalizing methods to prevent errors, and requiring employees to implement the risk management process fully, a suitable model of clinical risk management can be implemented in hospitals’ operating rooms.

Background and Objective: Health promotion standards are designed to meet the physical, mental and social needs of patients, staff and the community. So, this study aim was investigated the preparedness to implementation of health promotion hospital(HPH) standards from nurses' perspective in the military hospitals. Materials and Methods: This descriptive-analytical and cross-sectional study was conducted in 2019. 400 nursing staff of three selected military hospitals in Tehran selected by quota and simple random sampling. The data collection tool was a valid and reliable questionnaire of the WHO regarding HPH standards in 5 dimensions. The data were analyzed by SPSS 22 using ANOVA test at 95% CI. Results: The mean and standard deviation score for the management policy,