Method for establishing suicide risk prediction model of tumor patient

Abstract

The invention discloses a method for establishing a suicide risk prediction model of a tumor patient. The method comprises the following steps: collecting demographic data; collecting disease-relateddata of a tumor patient; collecting clinical related characteristic data of the tumor patient; collecting the anxiety and depression level, social support conditions, life quality, family functions and smegmatis conditions of the patient in a tumor rehabilitation period; taking whether a tumor patient has a suicide idea or not as a dependent variable to carry out single-factor analysis on relatedfactors possibly influencing the suicide idea, and establishing a column diagram prediction model; and carrying out distinguishing degree and calibration degree evaluation on the column diagram prediction model. The calibration degree of the prediction model can be evaluated through goodness-of-fit test and a correction curve, and the sensitivity and specificity are adopted to determine the prediction truncation value of the column diagram prediction model. According to the invention, the suicide risk grade of a tumor patient can be accurately predicted; the suicide risk of a tumor patient canbe evaluated in time at the terminal, and the clinical decision-making efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of prediction of suicide risk of tumor patients, in particular to a method for establishing a prediction model of suicide risk of tumor patients. Background technique [0002] Patients in the recovery period of cancer face many physical and psychological problems, including adverse reactions of treatment such as deformity or loss of function, loss of appetite, pain, fatigue, and a series of psychological problems such as depression, hopelessness, fear and suicidal feeling. Cancer patients are at higher risk of attempting and completing suicide than the general population. The occurrence of suicide is not only a tragedy for patients recovering from cancer and their families and friends, but also a major source of stress for those healthcare workers who make great efforts to treat their disease. Suicidal ideation refers to any suicide-related behavior including brief and intermittent thoughts about death and,...

AI Technical Summary

Problems solved by technology

The research on the influencing factors of suicidal ideation in cancer patients is not comprehensive, and most studies focus on exploring the role of various psychological factors and cancer-related symptoms in the formation of suicidal ideation. to be explored

At present, non-specific scales such as the Beck Suicide Ideation Scale, Suicide Possibility Scale, and Suicide Ideation Self-Rating Scale are generally used in domestic and foreign research to evaluate and warn the status quo of suicidal ideation in cancer patients, and there is no early warning model specifically for cancer patients suicide.

In addition, most of the universal assessment scales for suicidal ideation in foreign countries are too straightforward and sensitive, and are different from our culture, so they are not suitable for domestic cancer patients.

[0004] Therefore, there is still a lack of a comprehensive evaluation system for predicting suicidal ideation in cancer patients in clinical decision-making. In order to detect the suicide risk of cancer patients early and effectively prevent it, and to prevent the development of suicide in patients with suicidal intentions, it is necessary to establish a tumor Suicide Risk Prediction Model for Rehabilitation Patients is Necessary

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