Investigating Participant Characteristics and Scores in Hypertension Using Multi-Attribute Utility Theory Analysis on Hypertension Patients from Pakistan

Q2 Pharmacology, Toxicology and Pharmaceutics
Sania Rauf, Desy Nuryunarsih, Heni Pujiastuti, Mahija Zaidan, L. Herawati, Okatiranti Okatiranti, Abida Arshad, Syed Shakeel Raza Rizvi
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Abstract

Background and aim Hypertension (HTN) is a significant public health concern worldwide, affecting approximately a third of people during their lifetimes. There are many factors that influence people with HTN to develop cardiovascular disease, such as lifestyle, genetics, economics, overall health, and medications; the authors did not find any previous study employing Multi-Attribute Utility Theory (MAUT) analysis using machine learning. There is a sense of urgency to understand the characteristics of HTN patients in Pakistan; by using MAUT to analyze and evaluate different factors related to developing HTN, we can gain valuable insights into the characteristics of HTN and cardiovascular HTN (HTN-CVD) patients in Pakistan. Methods and results This study utilized a cross-sectional survey with 98 participants diagnosed with HTN and HTN-CVD. The questionnaire included sociodemographic items, symptoms, heredity factors, and dietary habits. The study was approved by the Research Ethical Committees of Pir Mehr Ali Shah Arid Agriculture University Rawalpindi (PMAS-AAUR), Pakistan. The result shows that there is a wide difference between HTN and HTN-CVD patients’ scores for symptoms (37% vs. 63%) and economic status (39% vs. 61%) (respectively). Other than these, the attribute proportions of scores for HTN and HTN-CVD are almost the same. The highest MAUT scores were higher for patients with HTN-CVD (373) than for those with HTN alone (270), and the mean age of HTN patients is higher than HTN-CVD; almost all attributes’ groups of the 10 highest MAUT scores of HTN-CVD higher than HTN patients except for attribute of medication status. Conclusion Patients with HTN-CVD complications have higher MAUT scores for lifestyle, social status, health status, and economic status. This emphasizes the importance of educating patients (and indeed the general public) about risks, symptoms, and adopting healthy behaviors.
利用多属性效用理论分析法调查巴基斯坦高血压患者的特征和得分情况
背景和目的 高血压(HTN)是全球关注的重大公共卫生问题,约有三分之一的人终生受其影响。影响高血压患者罹患心血管疾病的因素有很多,如生活方式、遗传、经济、整体健康和药物等;作者没有发现之前有任何研究利用机器学习进行多属性效用理论(MAUT)分析。了解巴基斯坦高血压患者的特征迫在眉睫;通过使用多属性效用理论分析和评估与高血压相关的不同因素,我们可以深入了解巴基斯坦高血压和心血管高血压(HTN-CVD)患者的特征。方法和结果 本研究采用横断面调查的方法,对 98 名确诊为高血压和心血管高血压患者进行了调查。调查问卷包括社会人口学项目、症状、遗传因素和饮食习惯。该研究获得了巴基斯坦拉瓦尔品第 Pir Mehr Ali Shah Arid 农业大学(PMAS-AAUR)研究伦理委员会的批准。结果显示,高血压和高血压-心血管疾病患者在症状(分别为 37% 和 63%)和经济状况(分别为 39% 和 61%)方面的得分差异很大。除此之外,高血压患者和高血压-心血管疾病患者的评分属性比例几乎相同。高血压-心血管疾病患者的 MAUT 最高分(373 分)高于单纯高血压患者(270 分),且高血压患者的平均年龄高于高血压-心血管疾病患者;在 MAUT 最高分的 10 个属性组中,除用药状况外,高血压-心血管疾病患者的几乎所有属性都高于高血压患者。结论 高血压-心血管疾病并发症患者在生活方式、社会地位、健康状况和经济状况方面的 MAUT 分数较高。这强调了教育患者(乃至公众)了解风险、症状和采取健康行为的重要性。
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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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