A societal adaptation model as a novel approach toward the recovery of people with schizophrenia

Author:

Lestari Retno,Yusuf Ah,Setyawan Febri Endra Budi,Ahsan Ahsan,Hargono Rachmat

Abstract

Introduction: People with severe mental disorders strain those involved, including families, societies, entire communities, and the government, due to decreased productivity. Understanding the roles to be played in caring for such people necessitates a societal adaptation process. Good adaptations boost societal resilience by caring for severe mental disorder sufferers. Therefore, this study aimed to create a societal adaptation model that would increase societal resilience in the care of people with schizophrenia. Design and Methods: An observational analytic approach was applied with 205 society members living in the working area of the Community Integrated Health Center in Malang, East Java, Indonesia. Furthermore, several questionnaires were employed and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). Results: According to the results, social adaptation was a significant indicator of societal adaptation. It was discovered that coping strategies influenced adaptation (p=0.007), society problem appraisal influenced coping strategies (p=0.000), and social support (p=0.005), while societal adaptation influenced societal resilience (p=0.022). The novelty of this study is that the societal adaptation model increases societal resilience in caring for people with schizophrenia, leading to a more adaptive community by increasing social capital. Conclusions: In conclusion, the adaptation model improves societal resilience by increasing social capital and stigma prevention, thereby promoting participation in the sufferers’ recovery process.

Publisher

PAGEPress Publications

Subject

Industrial and Manufacturing Engineering,Environmental Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3