OBJECTIVES: To evaluate the psychometric properties of the translated Indonesian version of the Nursing Home Survey on Patient Safety Culture (NHSOPSC-INA).
METHODS: This study was a cross-sectional survey conducted using NHSOPSC-INA. A total of 258 participants from 20 NH in Indonesia were engaged. Participants included NH managers, caregivers, administrative staff, nurses and support staff with at least junior high school education. The SPSS 23.0 was used for descriptive data analysis and internal consistency (Cronbach's alpha) estimation. The AMOS (version 22) was used to perform confirmatory factor analysis (CFA) on the questionnaire's dimensional structure.
RESULTS: The NHSOPSC CFA test originally had 12 dimensions with 42 items and was modified to eight dimensions with 26 items in the Indonesian version. The deleted dimensions were 'Staffing' (4 items), 'Compliance with procedure' (3 items), 'Training and skills' (3 items), 'non-punitive response to mistakes' (4 items) and 'Organisational learning' (2 items). The subsequent analysis revealed an accepted model with 26 NHSOPSC-INA items (root mean square error of approximation = 0.091, comparative fit index = 0.815, Tucker-Lewis index = 0.793, CMIN = 798.488, df = 291, CMIN/Df = 2.74, GFI = 0.782, AGFI = 0.737, p
METHODS: The case-control portion of the study was conducted in nine UK centers with men ages 50-69 years who underwent prostate-specific antigen screening for prostate cancer within the Prostate Testing for Cancer and Treatment (ProtecT) trial. Two data sources were used to appraise causality: a genome-wide association study (GWAS) of metabolites in 24,925 participants and a GWAS of prostate cancer in 44,825 cases and 27,904 controls within the Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium.
RESULTS: Thirty-five metabolites were strongly associated with prostate cancer (P < 0.0014, multiple-testing threshold). These fell into four classes: (i) lipids and lipoprotein subclass characteristics (total cholesterol and ratios, cholesterol esters and ratios, free cholesterol and ratios, phospholipids and ratios, and triglyceride ratios); (ii) fatty acids and ratios; (iii) amino acids; (iv) and fluid balance. Fourteen top metabolites were proxied by genetic variables, but MR indicated these were not causal.
CONCLUSIONS: We identified 35 circulating metabolites associated with prostate cancer presence, but found no evidence of causality for those 14 testable with MR. Thus, the 14 MR-tested metabolites are unlikely to be mechanistically important in prostate cancer risk.
IMPACT: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.