Pemodelan Hubungan Kausal dari Faktor-Faktor Penentu Cancer Related Fatigue Menggunakan Algoritma S3C-Latent
| Autor: | Endraswari, Putri Mentari, Rahmadi, Ridho, Effendy, Christantie |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 4 No 6 (2020): Desember 2020; 1198 – 1208 |
| ISSN: | 2580-0760 |
| DOI: | 10.29207/resti.v4i6 |
| Popis: | Cancer patients experience cancer-related fatigue (CRF) that are subjective and persistent. CRF can have a negative impact on psychosocial, spiritual, and self-perceived burden. To understand more deeply about CRF, we need to answer one fundamental question: how are the causal mechanisms (cause-effect) of the factors related to CRF. The studies related so far are still limited to correlation analysis between factors and have not focused on the mechanism of a causal relationship. The purpose of this study is to model the causal relationship between CRF and psychosocial, spiritual, and self-perceived burden, using a causal method called the Stable Specification Search for Cross-Sectional Data With Latent Variables (S3C-Latent). The results of this study are in the form of causal modeling between factors where self-burden has a causal relationship with CRF, spiritual need factors (religion) also have a causal relationship with CRF. Meanwhile, the social support factor (friends) with spiritual needs (religion) does not represent a causal relationship, but there is a strong association relationship. Meanwhile, the social support factor (friends) with CRF did not have a causal relationship or an association relationship between the two variables. Pasien kanker mengalami cancer-related fatigue (CRF) yang bersifat subyektif dan menetap. CRF dapat memberikan dampak negatif terhadap keadaan psikososial, spiritual, dan perasaan beban diri. Untuk memahami tentang CRF, kita perlu menjawab satu pertanyaan mendasar: bagaimana mekanisme kausal (sebab-akibat) dari faktor-faktor yang berhubungan dengan CRF. Studi-studi terkait sejauh ini masih sebatas prediksi atau analisis korelasi antara faktor, dan belum berfokus pada mekanisme hubungan kausal. Tujuan penelitian ini adalah untuk memodelkan hubungan kausal antara CRF dengan faktor psikososial, spiritual, dan perasaan beban diri, menggunakan algoritma kausal yang bernama Stable Specification Search for Cross-Sectional Data With Latent Variables (S3C-Latent). Pada penelitian ini kami menemukan bahwa beban diri menyebabkan CRF dengan reliability score 0.67, faktor kebutuhan spiritual (religi) menyebabkan CRF dengan reliability score 0.73, faktor dukungan sosial (teman) berasosiasi kuat dengan kebutuhan spiritual (religi) dengan reliability score 0.9. Lebih jauh lagi kami tidak menemukan hubungan kausal maupun asosiasi antara faktor dukungan sosial (teman) dan CRF. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|