Development and validation of the osteoporosis scale among the system of quality of life instruments for chronic diseases QLICD-OS (V2.0).

BACKGROUND: Quality of life of osteoporosis patients had caused widespread concern, due to high incidence and difficulty to cure. Scale specifics for osteoporosis and suitable for Chinese cultural background lacked. This study aimed to develop an osteoporosis scale in Quality of Life Instruments for Chronic Diseases system, namely QLICD-OS (V2.0). METHODS: Procedural decision-making approach of nominal group, focus group and modular approach were adopted. Our scale was developed based on experience of establishing scales at home and abroad. In this study, Quality of life measurements were performed on 127 osteoporosis patients before and after treatment to evaluate the psychometric properties. Validity was evaluated by qualitative analysis, item-domain correlation analysis, multi-scaling analysis and factor analysis; the SF-36 scale was used as criterion to carry out correlation analysis for criterion-related validity. The reliability was evaluated by the internal consistency coefficients Cronbach's α, test-retest reliability Pearson correlation r. Paired t-tests were performed on data of ​​the scale before and after treatment, with Standardized Response Mean (SRM) being calculated to evaluate the responsiveness. RESULTS: The QLICD-OS, composed of a general module (28 items) and an osteoporosis-specific module (14 items), had good content validity. Correlation analysis and factor analysis confirmed the construct, with the item having a strong correlation (most > 0.40) with its own domains/principle components, and a weak correlation (< 0.40) with other domains/principle components. Correlation coefficient between the similar domains of QLICD-OS and SF-36 showed reasonable criterion-related validity, with all coefficients r being greater than 0.40 exception of physical function of SF-36 and physical domain of QLICD-OS (0.24). Internal consistency reliability of QLICD-OS in all domains was greater than 0.7 except the specific module. The test-retest reliability coefficients (Pearson r) in all domains and overall score are higher than 0.80. Score changes after treatment were statistically significant, with SRM ranging from 0.35 to 0.79, indicating that QLICD-OS could be rated as medium responsiveness. CONCLUSION: As the first osteoporosis-specific quality of life scale developed by the modular approach in China, the QLICD-OS showed good reliability, validity and medium responsiveness, and could be used to measure quality of life in osteoporosis patients.

Development and validation of the psoriasis scale among the system of quality of life instruments for chronic diseases QLICD-PS (V2.0).

BACKGROUND AND PURPOSE: Psoriasis (PS) is difficult to cure with a high incidence. Therefore, the quality of life (QOL) of people with Psoriasis has caused widespread concern. Universal scales respond poorly to subtle changes caused by specific diseases, which makes it challenging to fully understand the impact of QOL in patients with psoriasis. In view of the deficiencies of the universal scale and the lack of a specific scale suitable for Chinese cultural background, this study aims to develop the psoriasis scale among the system of QOL instruments for chronic diseases QLICD-PS (V2.0). METHODS: The scale QLICD-PS (V2.0) was developed based on the procedural decision-making approach and the experience of establishing scales at home and abroad. 122 patients with psoriasis were participated in measuring QOL 3 times before and after treatments. The reliability was assessed by test-retest reliability (Pearson's correlation coefficients) and also internal consistency (Cronbach's alpha coefficients). Qualitative analysis was adopted to evaluate content validity; item-domain correlation analysis, multi-dimensional scaling analysis, and factor analysis were adopted to evaluate the construct validity; the SF-36 scale was used as the criterion to evaluate the criterion-related validity due to lack of gold standard. Paired t tests were performed to evaluate the responsiveness on each domain/facet as well as the total of the scale, with Standardized Response Mean (SRM) being calculated. RESULTS: The QLICD-PS was composed of the general module including 3 domains (28 items) and the psoriasis specific module (13 items). The Cronbach's α of the specific module, the general module and the total scale of the QLICD-PS was 0.78, 0.87 and 0.74 respectively, the split-half reliability of the specific module, the general module and the total scale was 0.81, 0.91 and 0.81, respectively, both indicating high reliability. Correlation and factor analysis confirmed good construct validity and criterion-related validity. After treatments, the score changes in the total scale were statistically significant with SRM being 0.5, showing moderate responsiveness. CONCLUSION: As the first psoriasis-specific QOL scale developed by the modular approach in Chinese, the QLICD-PS showed good reliability, validity and responsiveness, and could be used to measure the QOL of Patients with psoriasis specifically and sufficiently.

Prevalence and risk factors for latex glove allergy among female clinical nurses: a multicenter questionnaire study in China.

BACKGROUND: Natural rubber latex glove use is widespread in mainland China, but the prevalence and risk factors for latex glove allergy among clinical nurses have previously been unreported. METHODS: A questionnaire was used to collect information on latex glove-related allergy among clinical nursing staff in 35 hospitals of eight provinces in the southern, central southern, and northern regions of China, and the risk factors were calculated with logistic regression analysis. Some subjects with glove dermatitis were patch tested with a modified European standard series of allergens. RESULTS: Among 8485 female nurses in eight provinces of China, overall prevalence of latex glove allergy was 8.8%. Of 743 symptomatic nurses, 573 (77.1%) and 475 (63.9%) reported symptoms suggestive of glove dermatitis and type I latex allergy, respectively. Of 69 randomly selected subjects with glove dermatitis, 18 (26.1%) had a positive patch to rubber additives. Employment seniority, positive family and personal history of allergic diseases, and longer extent of time spent in a single hospital room were associated with latex allergy, while using >5 pairs of gloves per working day may be a protective factor. CONCLUSION: Chinese nurses are at high risk for latex sensitization. Nurses who develop latex-related symptoms after exposure to latex gloves should undergo screening tests for latex allergy. Low-protein, powder-free natural rubber latex gloves, or latex-free gloves should be widely adopted in China, along with other preventive measures.

Development and assessment of the Quality of Life Instruments for Chronic Diseases-Gout (QLICD-GO) (V2.0).

OBJECTIVE: To develop and assess the Quality of Life Instruments for Chronic Diseases-Gout QLICD-GO (V2.0). METHODS: The instrument was developed using a programmatic decision-making method to combine the general module of the Quality of Life Instruments for Chronic Diseases and a new specific module. The instrument was assessed by measuring the quality of life of 116 patients with gout. RESULTS: The QLICD-GO (V2.0) included 28 items from the general module of chronic diseases and 12 items in three facets from the specific module. In addition to the field of physiological function, the internal consistency reliability of other fields and dimensions of the instrument was > 0.7, and the split-half reliability was > 0.5. Three common factors were extracted from the specific module, with a cumulative variance contribution rate of 57.54%. The standardized response means of the specific module and the whole instrument were 0.94 and 1.20, respectively. CONCLUSIONS: The QLICD-GO (V2.0) has good reliability, validity, and responsiveness. The instrument comprehensively and objectively reflects the quality of life of patients with gout, and it can be used to assess treatment regimens developed by medical staff. Key Points • The QLICD-GO (V2.0) has been developed for patients with gout based upon the foundation of the QLICD-GM. • The QLICD-GO reflects the clinical signs and symptoms, drug-related side effects, and psychological changes specific to patients with gout. • Based on the assessment results, the QLICD-GO (V2.0) has good reliability, validity, and responsiveness. • QLICD-GO (V2.0) can objectively and comprehensively reflect the QOL of patients with gout and can be used by clinical staff to assess treatment regimens.

Prognostic value of Modified Early Warning Score generated in a Chinese emergency department: a prospective cohort study.

OBJECTIVES: This study aimed to validate the performance of the Modified Early Warning Score (MEWS) in a Chinese emergency department and to determine the best cut-off value for in-hospital mortality prediction. DESIGN: A prospective, single-centred observational cohort study. SETTING: This study was conducted at a tertiary hospital in South China. PARTICIPANTS: A total of 383 patients aged 18 years or older who presented to the emergency department from 17 May 2017 through 27 September 2017, triaged as category 1, 2 or 3, were enrolled. OUTCOMES: The primary outcome was a composite of in-hospital mortality and admission to the intensive care unit. The secondary outcome was using MEWS to predict hospitalised and discharged patients. RESULTS: A total of 383 patients were included in this study. In-hospital mortality was 13.6% (52/383), and transfer to the intensive care unit was 21.7% (83/383). The area under the receiver operating characteristic curve of MEWS for in-hospital mortality prediction was 0.83 (95% CI 0.786 to 0.881). When predicting in-hospital mortality with the cut-off point defined as 3.5, 158 patients had MEWS >3.5, with a specificity of 66%, a sensitivity of 87%, an accuracy of 69%, a positive predictive value of 28% and a negative predictive value of 97%, respectively. CONCLUSION: Our findings support the use of MEWS for in-hospital mortality prediction in patients who were triaged category 1, 2 or 3 in a Chinese emergency department. The cut-off value for in-hospital mortality prediction defined in this study was different from that seen in many other studies.