预测精神分裂症患者的生活质量

Insiyah Insiyah, Yeni Tutu Rohimah, Sri Lestari Dwi Astuti, Siti Lestari, Suyanto Suyanto, Endang Caturini Sulistyowati
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摘要

背景:以往关于精神分裂症患者社会人口学特征与生活质量相关性的研究发现的结果并不一致。本研究旨在分析精神分裂症患者生活质量(QoL)的预测因素。 研究方法这项定量研究包括在苏腊卡尔塔州立精神病医院随机抽样选出的 153 名受访者。研究工具是一份调查问卷,其中包含有关人口统计学的问题,包括年龄、首次患精神分裂症的年龄、性别、教育程度、工作状况、婚姻状况、治疗频率、患精神分裂症的时间、洞察力、身体健康问题以及使用 WHOQOL-BREF 的生活质量。在分析与精神分裂症患者生活质量相关的因素时,使用了斯皮尔曼等级(rho)和皮尔森秩方,在分析精神分裂症患者生活质量的预测因素时,使用了多元逻辑回归测试。本研究于 2020 年 9 月至 2021 年 3 月在苏腊卡尔塔州立精神病医院进行。 研究结果有 4 个社会人口特征与精神分裂症患者的总体生活质量有显著的正相关关系,即工作状况(p=0.000)、婚姻状况(p=0.000)、性别(p=0.032)和服药依从性(p=0.015)(p <0.05)。婚姻状况和工作状况对生活质量有影响(p=0.000 和 p=0.001)。 婚姻状况和工作状况对生活质量的影响(P=0.000 和 P=0.001),最大 OR 值为 25.499。 这意味着,已婚患者的生活质量受工作状况控制的几率是已婚患者的 25.499 倍。 结论婚姻状况和工作状况是精神分裂症生活质量的预测因素。医护人员在为精神分裂症患者提供服务时,需要注意评估工作状况和婚姻状况等社会人口统计学因素,以便针对这些方面采取适当的行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting Quality of life of Schizophrenia Patients
Background: Previous studies on sociodemographic characteristics connected to quality of life in schizophrenia discovered inconsistent results. This study aims to analyze predicting factors of quality of life (QoL) of schizophrenia patients.  Methods: A quantitative study included 153 respondents who were selected using random sampling at the State Psychiatric Hospital Surakarta. The research instruments were a questionnaire containing questions about demographics consisting of age, age at first experiencing schizophrenia, gender, education level, work status, marital status, frequency of treatment, duration of suffering from schizophrenia, insight, physical health problems and quality of life by using WHOQOL-BREF. The analyses used were Spearmen's rank (rho) and the Pearson Chi-Square    to analyze factors connected to QoL of schizophrenia patients and multiple logistic regression tests to analyze predictors of QoL of schizophrenia patients. This study was conducted in the State Psychiatric Hospital of Surakarta from September 2020 to March 2021.  Results: There were 4 characteristics of sociodemographic that have a positive significant relationship with the overall quality of life of schizophrenia patient, namely work status (p = 0.000), marital status with p = 0.000, gender (p=0.032), and adherence to take medicine with p=0.015 (p <0.05). marital status and work status that influence the quality of life (p=0.000 and p=0.001).  Marital status and work status influence the quality of life (p=0.000 and p=0.001), the largest OR value obtained is 25.499.  It means that married patients have a 25.499 times chance of having a better quality of life controlled by work status.  Conclusion: Marital status and work status are predictors of QoL of schizophrenia. In providing services to schizophrenic patients, health professional need to pay attention in assessing social demographics such as work status and marital status so that appropriate action can be taken with an approach to these aspects.
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