The comparison of the quality of nursing care under primary and team nursing in Taiwan.

The comparison of the quality of nursing care under primary and team nursing in Taiwan

Selected neurophysiological, psychological, and behavioral influences on subjective sleep quality in nurses: a structure equation model.

Few studies have examined relationships among neurophysiological, psychological, and behavioral factors with regard to their effects on sleep quality. We used a structure equation model to investigate behavioral and psychological factors that influence neurophysiological regulation of sleep in shift workers. Using a cross-sectional study design, we tested the model with a sample of 338 female nurses working rotating shifts at an urban regional hospital. The Morningness-Eveningness Questionnaire (MEQ) and short-form Menstrual Distress Questionnaire (MDQ) were used to measure neurophysiological factors involved in morningness-eveningness and menstrual distress. The Sleep Hygiene Awareness and Practice Scale (SHAPS) and Profile of Mood States Short Form (POMS-SF) were completed to measure behavioral factors of sleep hygiene practices and psychological factors of mood states. In addition, the Pittsburgh Sleep Quality Index (PSQI) measured participant's self-reported sleep quality. The results revealed that sleep hygiene practices and mood states mediated the effects of morningness-eveningness and menstrual distress on sleep quality. Our findings provide support for developing interventions to enhance sleep hygiene and maintain positive mood states to reduce the influence of neurophysiological factors on sleep quality among shift workers

Text Mining of Journal Articles for Sleep Disorder Terminologies.

OBJECTIVE:Research on publication trends in journal articles on sleep disorders (SDs) and the associated methodologies by using text mining has been limited. The present study involved text mining for terms to determine the publication trends in sleep-related journal articles published during 2000-2013 and to identify associations between SD and methodology terms as well as conducting statistical analyses of the text mining findings. METHODS:SD and methodology terms were extracted from 3,720 sleep-related journal articles in the PubMed database by using MetaMap. The extracted data set was analyzed using hierarchical cluster analyses and adjusted logistic regression models to investigate publication trends and associations between SD and methodology terms. RESULTS:MetaMap had a text mining precision, recall, and false positive rate of 0.70, 0.77, and 11.51%, respectively. The most common SD term was breathing-related sleep disorder, whereas narcolepsy was the least common. Cluster analyses showed similar methodology clusters for each SD term, except narcolepsy. The logistic regression models showed an increasing prevalence of insomnia, parasomnia, and other sleep disorders but a decreasing prevalence of breathing-related sleep disorder during 2000-2013. Different SD terms were positively associated with different methodology terms regarding research design terms, measure terms, and analysis terms. CONCLUSION:Insomnia-, parasomnia-, and other sleep disorder-related articles showed an increasing publication trend, whereas those related to breathing-related sleep disorder showed a decreasing trend. Furthermore, experimental studies more commonly focused on hypersomnia and other SDs and less commonly on insomnia, breathing-related sleep disorder, narcolepsy, and parasomnia. Thus, text mining may facilitate the exploration of the publication trends in SDs and the associated methodologies

Results of the mediation effect analysis.

<p>BF, behavioral factors (sleep hygiene practice); PF, psychological factors (mood states); NF1, neurophysiological factor I (morningness-eveningness); NF2, neurophysiological factor II (menstrual distress); SQ, sleep quality.</p>*<p><i>p</i><0.05.</p

Demographic characteristics, circadian types, menstrual distress, sleep hygiene, mood states, and sleep quality (<i>N</i> = 338).

<p>The dichotomized group was based on the median of each independent variable except for the body-mass index; SD, standard deviation of the mean;</p>*<p><i>p</i><0.05 vs day shift.</p

Correlations among selected neurophysiological, psychological, and behavioral factors, and sleep quality (<i>N</i> = 338).

<p>BF, behavioral factors (sleep hygiene practice); PF, psychological factors (mood states); NF1, neurophysiological factor I (morningness-eveningness); NF2, neurophysiological factor II (menstrual distress); SQ, sleep quality.</p>*<p><i>p</i><0.05;</p>**<p><i>p</i><0.001.</p

Schematic representation of relationships among exogenous and endogenous variables (solid arrows represent hypothesized paths) that were examined using the structure equation model.

<p>Schematic representation of relationships among exogenous and endogenous variables (solid arrows represent hypothesized paths) that were examined using the structure equation model.</p

The Comparison of Pre and Post Nursing Competence and Influencing Factor in Implementing Clinical Ladder Systems

[[abstract]]本研究目的在：(1)了解分級後護理人員之護理能力，並與未實施分級制度時之能力做比較；(2)分析影響護理能力分數之有關因素。研究對象為某醫學中心護理人員，實施進階制度前調查時間為88年12月，樣本數為321人，實施進階制度後調查時間為90年7月，樣本數為222人，以Likert 5分法測護理能力。研究結果顯示(1)實施進階制度前與實施進階制度後護理人員總能力平均分數分別為3.77，3.78，表示大部分能完成各項護理工作。(2)實施前後六大能力，合照護、溝通、教學、管理，研究及自我成長能力分別為4.04，4.03；3.95，3.95；3.83，3.78；3.39，3.71；2.85，2.98；3.60，3.68。(3)比較前後測在六大能力分數上均無顯著差異，(4)以變異數分析進階制度實施後在年齡、職稱、婚姻、子女狀況、服務年資、參加訓練、工作重要性、進階意願、主觀分級客觀分級上皆有顯著差異。(5)迴歸分析顯示主觀分級、上司領導、家人支持、個人意願及年資分組可解釋影響護理能力變數之21.7%，仍有78.3%影響因素尚未發現。故建議二年後再評值N1，N2，N3，N4之護理能力，研究結果做為改善教學訓練及提昇護理品質之參考。 The purposes of this study were to (1) understand and compared pre and post nursing competence (2) analyze the factors impacting nursing competence. The study was conducted from Dec 1, 1999 and ended on Jul. 31, 2001. A total of 321 nurses participated in pre implementation clinical ladder system and 222 nurses took the posttest in a medical center. A 5-point Likert scale was used to test nursing competence. The results showed that (1) the average pre and post nursing competence mean scores were 3.77 and 3.78; (2) the mean pre and post -test scores of six nursing competence areas including caring, communicating, teaching, managing, research, self-growth and professional development ability were 4.04, 4.03; 3.95, 3.95; 3.83 3.78; 3.69, 3.71; 2.85, 2.98; 3.60, and 3.68; (3) there were no significant differences between these two groups in the six nursing competence areas; (4) there were significant differences in age, working position marital status, number of children, years of service, attending training, motivation to attend clinicalladder systems, subjective nursing competence classification, objective nursing competence classification (N1, N2, N3, and N4), and importance of work by using ANOVA. Subjective nursing competence classification, boss's leadership, family support, personal motivation, and working years could explain 21.7% of the variance by using stepwise regression. There were 78.3% impact factors not found in this study. The researchers suggested evaluating nursing competence 2 years later continuously in order to use this data to improve teaching and evaluate the quality of nursing care