Rehana C Mukundan, Sanjeev K Singh, Ajith Kumar N, T. V. Sathianandan
{"title":"根据病人的社会经济状况开发逻辑模型,以确定一家多专科三级医疗医院中经济最拮据的病人","authors":"Rehana C Mukundan, Sanjeev K Singh, Ajith Kumar N, T. V. Sathianandan","doi":"10.36106/ijsr/1003916","DOIUrl":null,"url":null,"abstract":"Background: Multispecialty tertiary care hospitals face the challenge of allocating limited funds effectively to deserving patients, considering\ntheir medical needs and socioeconomic circumstances. This study aims to develop a logical model to e Objective: nhance the efciency of fund\nallocation processes in such hospitals, ensuring equitable access to healthcare services. The propos Methods: ed model integrates factors such as\nseverity of illness, treatment costs, available resources, and patient eligibility criteria into a structured framework for equitable and effective fund\nallocation. Based on the newly developed fund allocation model, a linear graph was plotted with the Results: total score of 195 patients against the\nsubsidy percentage provided. The equation obtained from the trend line analysis is represented as y = 1.7787x - 42.262, where 'y' represents the\nsubsidy percentage and 'x' represents the total score of the patients. The logical model presented i Conclusion: n this study provides a systematic\napproach to optimize fund allocation in multispecialty tertiary care hospitals, ultimately improving the quality of care provided to patients and\npromoting equity in healthcare delivery","PeriodicalId":14358,"journal":{"name":"International journal of scientific research","volume":"38 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THE DEVELOPMENT OF A LOGICAL MODEL BASED ON PATIENTS' SOCIOECONOMIC STATUS TO IDENTIFY THE MOST FINANCIALLY CONSTRAINED PATIENTS IN A MULTI-SPECIALTY TERTIARY CARE HOSPITAL\",\"authors\":\"Rehana C Mukundan, Sanjeev K Singh, Ajith Kumar N, T. V. Sathianandan\",\"doi\":\"10.36106/ijsr/1003916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Multispecialty tertiary care hospitals face the challenge of allocating limited funds effectively to deserving patients, considering\\ntheir medical needs and socioeconomic circumstances. This study aims to develop a logical model to e Objective: nhance the efciency of fund\\nallocation processes in such hospitals, ensuring equitable access to healthcare services. The propos Methods: ed model integrates factors such as\\nseverity of illness, treatment costs, available resources, and patient eligibility criteria into a structured framework for equitable and effective fund\\nallocation. Based on the newly developed fund allocation model, a linear graph was plotted with the Results: total score of 195 patients against the\\nsubsidy percentage provided. The equation obtained from the trend line analysis is represented as y = 1.7787x - 42.262, where 'y' represents the\\nsubsidy percentage and 'x' represents the total score of the patients. The logical model presented i Conclusion: n this study provides a systematic\\napproach to optimize fund allocation in multispecialty tertiary care hospitals, ultimately improving the quality of care provided to patients and\\npromoting equity in healthcare delivery\",\"PeriodicalId\":14358,\"journal\":{\"name\":\"International journal of scientific research\",\"volume\":\"38 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of scientific research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36106/ijsr/1003916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of scientific research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36106/ijsr/1003916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:考虑到患者的医疗需求和社会经济状况,多专科三级医院面临着将有限的资金有效分配给值得治疗的患者的挑战。本研究旨在建立一个逻辑模型,以提高此类医院资金分配过程的效率ciency,确保公平获得医疗服务。方法:该模型将疾病严重程度、治疗成本、可用资源和患者资格标准等因素整合到一个结构化框架中,以实现公平有效的资金分配。根据新开发的资金分配模型,绘制了 195 名患者的总分与所提供补贴百分比的线性图。趋势线分析得出的等式为 y = 1.7787x - 42.262,其中 "y "代表补贴百分比,"x "代表患者的总分。结论:本研究为优化多专科三级医院的资金分配提供了一种系统方法,最终提高了为患者提供的医疗质量,促进了医疗服务的公平性。
THE DEVELOPMENT OF A LOGICAL MODEL BASED ON PATIENTS' SOCIOECONOMIC STATUS TO IDENTIFY THE MOST FINANCIALLY CONSTRAINED PATIENTS IN A MULTI-SPECIALTY TERTIARY CARE HOSPITAL
Background: Multispecialty tertiary care hospitals face the challenge of allocating limited funds effectively to deserving patients, considering
their medical needs and socioeconomic circumstances. This study aims to develop a logical model to e Objective: nhance the efciency of fund
allocation processes in such hospitals, ensuring equitable access to healthcare services. The propos Methods: ed model integrates factors such as
severity of illness, treatment costs, available resources, and patient eligibility criteria into a structured framework for equitable and effective fund
allocation. Based on the newly developed fund allocation model, a linear graph was plotted with the Results: total score of 195 patients against the
subsidy percentage provided. The equation obtained from the trend line analysis is represented as y = 1.7787x - 42.262, where 'y' represents the
subsidy percentage and 'x' represents the total score of the patients. The logical model presented i Conclusion: n this study provides a systematic
approach to optimize fund allocation in multispecialty tertiary care hospitals, ultimately improving the quality of care provided to patients and
promoting equity in healthcare delivery