Assessment of psychometric properties of the Huaxi Emotional-distress Index questionnaire (HEI)in a large sample of general hospital inpatients.

OBJECTIVES: Huaxi Emotional-distress Index questionnaire (HEI) is a 9-item questionnaire designed to measure psychological distress. The present study aimed to validate the factor structure of the HEI and its reliability and validity using a large sample from inpatients of West China Hospital. METHODS: HEI data were collected from inpatients of various departments at West China Hospital in 2019 through the hospital's data management platform (total sample, N = 55,396). The internal consistency reliability of the HEI was examined. Exploratory factor analysis (N = 27,696) and confirmatory factor analysis(N = 27,700) were conducted to validate the construct validity. RESULTS: Three factors, namely depression (DEP), anxiety (ANX), and suicidal risk (SR), were extracted through exploratory factor analysis, which accounted for 79.55% of the total variance.The results of confirmatory factor analysis supported the fit for the three-component model oblique model as the best-fitting model compared with one-component model and two-component model. The internal consistency of the HEI was α =0.918. The internal consistencyα of ANX, DEP and SR is 0.87,0.814,0.843 respectively. CONCLUSIONS: HEI is a validated and concise tool that serves a dual purpose of screening for mood disorders and assessing depressive and anxiety symptoms as well as suicidal risk among inpatients in Chinese general hospitals.

Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases.

BACKGROUND: In the trauma center wards, it is not unusual for patients to have sleep disorders, especially patients with an acute injury. Meanwhile, there is substantial evidence that sleep disorder is a predictor of depression and is an important feature of posttraumatic stress disorder. METHODS: All orthopedic trauma patients confined in a trauma ward in West China Hospital of Sichuan University between April 2018 and July 2019 were included in this retrospective study. Patients with mental impairment or craniocerebral injuries were excluded from the study. Basic demographic data and the Injury Severity Score (ISS) classification based on medical records were collected. The Pittsburgh sleep quality index (PSQI) was used to evaluate sleep quality, the visual analog scale (VAS) was used to evaluate physical pain, and the Barthel Index (BI) was used to evaluate activities of daily living (ADL). Univariate linear regression analysis and multivariate linear regression analysis were used to identify independently related factors. RESULTS: The average PSQI score was 6.3 (± 4.0). A total of 581 (51.4%) patients had a PSQI score > 5, indicating the presence of sleep disorders. The PSQI score was > 10 in 174 (15.4%) patients. Univariate statistical analysis showed that age, sex, education, ADL, and ISS classification were associated with increased PSQI scores. Marital status and pain were not associated with increased PSQI scores. When we used multivariate analysis to control for confounding variables, sex, ADL, and ISS classification remained independently associated with PSQI (P = 0.002, < 0.000, and 0.002, respectively). CONCLUSIONS: In our study, sleep disorders were common (51.4% with PSQI > 5) and serious (15.4% with PSQI > 10) in patients with traumatic orthopedic injury. The following factors were closely associated with sleep disorders: sex, ADL, and ISS classification. Moreover, age and educational attainment have an independent impact on sleep quality. Unexpectedly, the VAS score for pain was not independently associated with the seriousness of sleep quality, which may be related to preemptive and multimodal analgesia. Further studies are required to clarify this ambiguity.