[Islamic Perspective of Healing The Post Traumatic Stress Disorder (Ptsd) on Street Children]

Author:

Lissyari ,Ismail Mohd Sani,Anwar Nurul

Abstract

Street children with PTSD need an intervention that integrates socio-spiritual approaches to psychotherapy methods. Problem Statement There is a need to provide the basic framework for the elaboration of a new structured intervention of Islamic psychotherapy. Therefore, an exploration of basic and comprehensive information about an Islamic approach that has become a phenomenon in Indonesian society is crucial. Methodology Using an exploratory, descriptive, analytical, and explanatory qualitative approach, this study was conducted in an Institution of Perlindungan Perempuan Anak (PPA) Mataram Nusa Tenggara Barat Indonesia. It made observations of the caregivers, the children with PTSD, and the treatment interventions implemented. A semi-structured interview guide applied to three caregivers of the children with PTSD. Additional data collection tools include interview guide, camera, videos, and observation as it used field notes for the study. Results: The caregivers give therapy to children with the traditional Islamic approach, as maintaining Dzikr, Wudhu, and Sholat when they are in good circumstances. Likewise, relaxation with slow breath and dhikr when they are in anxiety or panic attack. Also, they focus on the fresh sensation of the ablution water and every single step of the ablution. Meanwhile, the child’s mental state is relatively stable, as evidenced by the children’s ability to manage their daily activities well and to provide minimal self-help during anxiety attacks. Conclusions: The Islamic tradition could be elaborated on and used for therapeutic children with PTSD through daily exercises and care by caregivers.

Publisher

Universiti Sultan Zainal Abidin

Subject

Genetics,Animal Science and Zoology

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

1. TAQWA: Teaching Adolescents Quality Wadhu/Ablution Contactlessly using Deep Learning;2023 6th International Conference on Signal Processing and Information Security (ICSPIS);2023-11-08

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