[Evaluation of the Nurses' Utilization of the Pain Management Information System Based on the Information System Success Model].

BACKGROUND: Pain records provide important data to medical teams to guide their provision of pain management interventions. Incomplete records and records that do not integrate pain data will affect patient safety. Use of information technology helps facilitate communication within the medical team and improve quality of care. PURPOSE: This study was designed to evaluate the effectiveness of a pain management information system. METHODS: The questionnaire survey method was employed in this study. The system-evaluation questionnaire was designed based on the six dimensions of the information system success model (ISSM), including system quality, information quality, service quality, intention to use, user satisfaction, and net benefits. Three months after the pain management system was implemented, the opinions of 282 nurses from a medical center in central Taiwan were collected. Research data were analyzed using descriptive and inferential statistical methods. RESULTS: Of the six dimensions, "information quality" received the highest average score (4.71). The two dimensions of "intention to use" and "user satisfaction" had the highest correlation with "net benefits". "User satisfaction" was found to have the highest predictive power for the "net benefits" of the system, with an explanatory power of about 81.2%. CONCLUSIONS: The pain management system considered in this study was shown to provide complete and accurate pain management information, which is an important factor affecting nurses' intention to use and satisfaction. The evaluation results based on the ISSM show the pain management system to be a good information system that generates accurate information and has a high intention-to-use rate and high rate of user satisfaction.

Gender role moderates correlation between learning needs and behavioural intention of sexual health care in female nurses.

AIM: This study evaluated the correlation between learning needs and behavioural intention of sexual health care in female Registered Nurses and to assess the moderating effect of gender role on this relationship. DESIGN: In this cross-sectional questionnaire-based survey, a convenience sampling of female Registered Nurses was included from Chung Shan Medical University Hospital, Taiwan. METHODS: Three questionnaires were used to obtain self-reported data on learning needs, behavioural intention and gender role. RESULTS: Based on gender role scores, 11.8% of participants were feminine, 10.0% were masculine, 31.0% were androgynous and 47.2% were undifferentiated. Significant positive correlations between learning needs and behaviour intention were observed in the total population as well as in undifferentiated, feminine and androgynous nurses (all p < .05). Learning needs were positively associated with the behavioural intention of sexual health care in female nurses, which was moderated by gender role (F = 2.868, p = .036).

Relevant Factors Affecting Nurse Use of a Pain Management System.

This study aimed to explore influencing factors and predictive capability for nursing staff use of a pain management system based on the information system success model. There were three key results: (a) Information quality is the most important influencing factor; (b) The correlations between these factors were all positively correlated; (c)Information quality and user satisfaction are the affect factors in predicting net benefits. These results elucidate the relevant factors affecting use of a pain management system by nurses, and can also predict system benefits.

Pleiotropic Associations of RARRES2 Gene Variants and Circulating Chemerin Levels: Potential Roles of Chemerin Involved in the Metabolic and Inflammation-Related Diseases.

Chemerin, an adipokine and inflammatory mediator, is associated with metabolic, inflammation- and immune-mediated diseases. The genetic, clinical, and biomarker correlates of circulating chemerin levels have not been completely elucidated. We analyzed the determinants and correlates of retinoic acid receptor responder 2 (RARRES2; encoding chemerin) gene variants and chemerin levels in the Taiwanese population. In total, 612 individuals were recruited. Clinical and metabolic phenotypes, 13 inflammatory markers, 5 adipokines, and 6 single-nucleotide polymorphisms (SNPs) covering the RARRES2 region were analyzed. High chemerin levels and chemerin level tertiles were positively associated with multiple metabolic phenotypes and circulating inflammatory marker and adipokine levels and negatively associated with high-density lipoprotein cholesterol and adiponectin levels and estimated glomerular filtration rates (eGFRs). Genotype and haplotype analyses showed that RARRES2 SNPs were significantly associated with chemerin, fibrinogen, interleukin 6, and lipocalin 2 levels. Stepwise logistic regression analysis showed that C-reactive protein level, leptin level, triglyceride level, eGFR, rs3735167 genotypes, sex, and soluble P-selectin level were independently associated with chemerin levels. In conclusion, pleiotropic associations were noted between RARRES2 variants, circulating chemerin levels and multiple metabolic phenotypes and inflammatory marker levels. This study provides further evidence for the potential roles of chemerin in metabolic and inflammation-related diseases.