The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe

The Survey of Hospitals Managers’ Attitude about Patient Complaints Investigating System in Hospitals Affiliated to Mashhad University of Medical Sciences

Introduction: According to the importance of managers’ role in improving quality of health services, we performed this study to survey hospital managers attitude about patient complaints investigating system in hospitals affiliated to Mashhad university of Medical sciences in 2015. Materials and Methods: This descriptive cross-sectional study was performed in 12 hospitals affiliated to Mashhad University of Medical Sciences. One questionnaire that we had confirmed the reliability and validity of that was used to assess hospitals managers’ attitude about patient complaints investigating system. Study population was all hospital managers in all levels. We studied them as census. Finally 130 completed questionnaires were analyzed with SPSS Version 16. Results:20% of managers assessed the current status of patient complaints investigating system as improper. 35% of manager expressed not using information that derived from patients’ complaint as most defect in patient complaints investigating system. 60% of managers believed that the most impact of reinforcement patient complaints investigating system is improvement of services quality and system validity. Finally 56% of managers expressed staff dissatisfaction is the great reason for patient complaints. Conclusion: According to the findings and relatively positive attitude of managers, it is necessary to organize a team for improving and revising patient complaints investigating system in each hospital. Also managers’ attention to staff satisfaction and their educational needs is important for reducing patient complaints

The Relationship between Matrons' Knowledge, Attitude, and Performance in Clinical Governance Domain and Mashhad Hospitals Fulfillment of Clinical Governance: 2013

Introduction: Clinical Governance (CG) is a systematic approach to the maintaining and improving the quality of provided services for patients in the health system. With regards to the implementation of clinical governance in hospitals affiliated to Mashhad University of Medical Sciences and the role of matrons in ensuring quality care, little is known about the relationship between matrons’ participation in this plan and hospital success in clinical governance fulfillment. Materials and Methods:This cross-sectional, analytic-descriptive study was conducted to investigate the relationship between matrons’ knowledge, attitude, and performance in clinical governance and Mashhad hospitals' fulfillment of clinical governance. A researcher-made questionnaire was used for data collection on matrons’ knowledge, attitude, and performance. The standard checklist of the health ministry and observation were used to assess hospital clinical governance fulfillment. Data was analyzed at the hospital level by SPSS16. Results: The mean scores of matrons' knowledge, attitude, and performance were above average. Matrons' attitude towards clinical governance achieved the highest mark (4.46). There was no significant correlation between matrons' knowledge/attitude/performance and hospital scores for clinical governance fulfillment (P>0.05). Conclusion: While the levels of matrons' knowledge, attitude, and performance were satisfactory, there is still a need for improving matrons' knowledge. Absence of any statistically significant relationship between matrons' knowledge, attitude, performance and hospitals scores for clinical governance fulfillment may be due to the study small sample size

Medical Waste Management in the second largest City of Iran (Mashhad) with Three-Million Inhabitants

Introduction: One of the first and important steps to improve medical waste management is awareness and monitoring of the quality and quantity of medical waste. The aim of this study was to determine the present status of waste generation and the process of waste management in hospitals. Materials and Methods:This cross sectional study was performed in ten university hospitals in Mashhad. A standard questionnaire was prepared according to the National Health instructions and completed by the project team members who were environmental health experts.  Results: The total waste which was generated in the studied hospitals was 7683 kg/day. The study showed total waste generation in selected hospitals as (61.85%) general medical waste, (34.90%) infectious waste and (3.25%) sharp waste. The average generation rate for total, general, infectious and sharp waste was (2.6, 1.5, 1.01) and (0.08) kg/bed/day, respectively. Mean scores of the different steps of waste management process with respect to National Health instructions were as follows: waste segregation (64%), waste storage (67%), waste transportation (76 %) and waste treatment 63%. There was no significant difference between the average rate of waste generation per bed in public and specialized hospitals (P=0.34). Conclusion: High rate of infectious waste shows the need for establishing executive rules and standards for medical waste management. Medical managers should update their knowledge and further educating their staff; implying careful and constant monitoring of waste management

Tehran environmental and neurodevelopmental disorders (TEND) cohort study : Phase I, feasibility assessment

Purpose: To advance knowledge about childhood neurodevelopmental disorders and study their environmental determinants, we conducted a study in Tehran, Iran to assess the feasibility of prospective birth cohort study. Methods: We evaluated participation of pregnant women, feasibility of sampling biological material, and health care services availability in Tehran in four steps: (1) first trimester of pregnancy; (2) third trimester of pregnancy; (3) at delivery; and (4) two to three months after delivery. We collected related data through questionnaires, also various biological samples were obtained from mothers (blood, urine, milk and nails—hands and feet) and newborns (umbilical cord blood, meconium, and urine samples) from February 2016 to October 2017. Results: overall 838 eligible pregnant women were approached. The participation rate was 206(25%) in our study and about 185(90%) of subjects were recruited in hospitals. Out of 206 participants in the first trimester, blood, urine, hand nail, and foot nail samples were collected from 206(100%),193(93%), 205(99%), and 205(99%), respectively. These values dropped to 65(54%), 83(69%), 84(70%), and 84(70%) for the remaining participants 120(58%) in the third trimester, respectively. Also, we gathered milk samples from 125(60%) of mothers at two to three months after delivery. Conclusion: Our findings suggest that hospitals were better places for recruitment of subjects in a birth cohort in Tehran. We further concluded that birth cohort study recruitment can be improved by choosing appropriate gestational ages. Obtaining the newborn’s urine, meconium, and umbilical cord blood were challenging procedures and require good collaboration between hospital staff and researchers.</p

Artificial Intelligence in Cancer Care: From Diagnosis to Prevention and Beyond

&lt;p&gt;Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care, encompassing various aspects from diagnosis to prevention and beyond. With its ability to analyze vast amounts of data, recognize patterns, and make accurate predictions, AI has emerged as a powerful tool in the fight against cancer. This article explores the applications of AI in cancer care, highlighting its role in diagnosis, treatment decision-making, prevention, and ongoing management. In the realm of cancer diagnosis, AI has demonstrated remarkable potential. By processing patient data, including medical imaging, pathology reports, and genetic profiles, AI algorithms can assist in early detection and accurate diagnosis. Image recognition algorithms can analyze radiological images, such as mammograms or CT scans, to detect subtle abnormalities and assist radiologists in identifying potential tumors. AI can also aid pathologists in analyzing tissue samples, leading to more precise and efficient cancer diagnoses. AI's impact extends beyond diagnosis into treatment decision-making. The integration of AI algorithms with clinical data allows for personalized treatment approaches. By analyzing patient characteristics, disease stage, genetic markers, and treatment outcomes, AI can provide valuable insights to oncologists, aiding in treatment planning and predicting response to specific therapies. This can lead to more targeted and effective treatment strategies, improving patient outcomes and reducing unnecessary treatments and side effects. Furthermore, AI plays a crucial role in cancer prevention. By analyzing genetic and environmental risk factors, AI algorithms can identify individuals at higher risk of developing certain cancers. This enables targeted screening programs and early interventions, allowing for timely detection and prevention of cancer. Additionally, AI can analyze population-level data to identify trends and patterns, contributing to the development of public health strategies for cancer prevention and control. AI's involvement in cancer care goes beyond diagnosis and treatment, encompassing ongoing management and survivorship. AI-powered systems can monitor treatment response, track disease progression, and detect recurrence at an early stage. By continuously analyzing patient data, including imaging, laboratory results, and clinical assessments, AI algorithms can provide real-time insights, facilitating timely interventions and adjustments to treatment plans. This proactive approach to disease management improves patient outcomes and enhances quality of life.&lt;/p&gt

The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% 47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% 32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% 27.9-42.8] and 33.3% 25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license