Comparing causal random forest and linear regression to estimate the independent association of organisational factors with ICU efficiency.
Leonardo S L BastosSafira A WortelFerishta Bakhshi-RaiezAmeen Abu-HannaDave A DongelmansJorge I F SalluhFernando G ZampieriGastón BurghiSilvio HamacherFernando A BozzaNicolette F de KeizerMarcio SoaresPublished in: International journal of medical informatics (2024)
In general, both methods were comparable to identify organisational factors significantly associated with CATE on ICU efficiency. CRF however identified specific ICUs with significant effects, even when the average effect was nonsignificant. This can assist healthcare managers in further in-dept evaluation of process interventions to improve ICU efficiency.