THE RISK MODEL OF DEVELOPING SCHIZOPHRENIA BASED ON TEMPERAMENT AND CHARACTER

Introduction: Cloninger\u27s psychological model of temperament and character confirms that the personality development is influenced by biological and psychological processes. The aim of this study is to examine personality dimensions and to determine which variable separates the healthy from the ill in the best way and could be a possible psychological marker for the presence of the illness. Methods: This research included 152 subjects, 76 patients with schizophrenia and 76 healthy controls, selected on the basis of medical interviews, random population sampling model from a wider social community using the independent T-Tests. The Temperament and Character Inventory (TCI), which compared personality traits of the patients with schizophrenia and the healthy control group, was used. Dependence of variables in these categories was assessed using the Chi-square and Fisher\u27s tests, and the impact of variables on schizophrenia was tested using univariate and multivariate binary logistic regression. The same method was used for making the mathematical model. Results: Unlike the control group, patients with schizophrenia exhibited higher Harm avoidance (HA) and Self - transcendence (ST) scores as well as lower Self - directedness (SD) and Cooperativeness (C) scores. Multivariate binary logistic regression showed that Responsibility, Purposefulness, Resourcefulness, Cooperativeness and Compassion dimensions were significantly more present in the patients with schizophrenia. The new variable Model (area=0.896, p<0.0005) is composed of five TCI parameters. It proved to be a reliable marker for separation the healthy from the ill ones (area=0.896, p<0.0005). It has a good sensitivity (80%) and specificity (84%). Conclusions: Research has emphasized variables in the temperament and character inventory, which are the best markers for distinguishing between the healthy and the ill, thus making the mathematical model

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries