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Patients with cancer experience cancer-related fatigue (CRF) that can be subjective and persistent. CRF can have negative impacts on psychosocial, spiritual, and self-perceived burden (SPB). CRF can be understood more deeply by answering one fundamental question: how are the causal mechanisms (cause-effect) of the factors related to CRF. The previous studies have been so far still limited to correlation analysis between factors and have not focused on the mechanisms of a causal relationships. The purpose of this study is to model the causal relationships between CRF, psychosocial, spiritual, and SPB, using a causal method called the Stable Specification Search for Cross-Sectional Data With Latent Variables (S3C-Latent). The causal algorithm has been implemented as an R language called Stablespec. The analysis in this study administered in parallel computation with CPU server. The results show causal relationships from SPB to CRF with a reliability score of 0.67 and from spiritual need (religion) to CRF with reliability score 0.73. Moreover, this study found that there is a strong relation between social support (friends) and spiritual needs (religion) with a reliability score of 0.90, of which the causal direction cannot be determined from the data alone. The final model is expected to be a reference both scientifically and practically in handling CRF on cancer patients.

Pemodelan Hubungan Kausal dari Faktor-Faktor Penentu Cancer Related Fatigue Menggunakan Algoritma S3C-Latent