Computational protocol: Validation of the Chinese SAD PERSONS Scale to predict repeated self harm in emergency attendees in Taiwan

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Protocol publication

[…] The sociodemographic and background information regarding self-harm risk were analyzed using the SPSS 16.0. Among the cases with self-harm, we checked the concurrent validity of the CSPS with PSIS, HAMD, BSSI, BHS and also confirmed the predictive validity with the number of self-harm acts during 6-month follow-up period. We evaluated the associations of continuous variables by Pearson’s correlation and compared the means or percentages between groups of self-harm and non-self-harm using Independent T-test or Chi-squared test. In order to determine the optimal cut-off points for the CSPS in predicting the 6-month self-harm repetition, we compared predictive performance of the CSPS with other psychometric scales using areas under the Receiver Operating Characteristic (ROC) curves via the R Project for Statistical Computing. Furthermore, we presented sensitivity, specificity, positive predictive values and negative predictive values to decide a suitable cut-off score for future self-harm risk detection. Besides, two main parts of the nursing data were analyzed, i.e. the test-retest reliability and the nurses’ opinions from the satisfaction survey. The first author calculated mean difference of the ratings at two time points, three weeks apart, to evaluate the differences in rating performance and the stability of simulated nursing assessment by applying the CSPS in the case vignette approach. We also calculated the mean scores of the 5-point ratings (0–5 points) of the nurses’ opinions towards scale feasibility and applicability in clinical settings. Higher scores indicates that the nurses perceived the scale as more useful and suitable to be adopted in nursing assessment. Moreover, the open-ended question about their responses of scale adaptation to hospital inpatient assessment for suicide risks and suggestions were analyzed using content analysis. […]

Pipeline specifications

Software tools SPSS, The R Project for Statistical Computing
Application Miscellaneous
Organisms Homo sapiens