We demonstrated initial support for the reliability and validity of the 27-item SESPRM-LC, as a developmentally appropriate instrument for assessing self-efficacy among lung cancer patients during postoperative rehabilitation.

The objective of this study was to evaluate the feasibility and preliminary efficacy of a self-efficacy enhancing intervention designed for pulmonary rehabilitation based on motivational interviewing (MI) for postsurgical non-small cell lung cancer (NSCLC) patients. This study was a 2-arm pilot randomized controlled trial and was conducted in two cardiothoracic surgery departments, a tertiary hospital in Fuzhou, China. 28 postsurgical NSCLC patients were randomized to a 3 month (6 session) self-efficacy enhancing intervention based on MI or usual care (UC). Data were measured at baseline and after intervention. The MI based self-efficacy enhancing intervention group was superior to the UC group for reducing anxiety and depression, improving self-efficacy, quality of life, confrontational coping, social support and functional capacity. However, no statistically significant difference was observed in subjective well-being, posttraumatic growth, body mass index and pulmonary function between the two groups. This pilot study demonstrated the feasibility of MI based self-efficacy enhancing intervention for postsurgical NSCLC patients. A larger randomized trial would demonstrate a more rigorous test of efficacy.

No abstract

No abstract

This paper deals with the adaptive nonlinear identification and trajectory tracking via dynamic multilayer neural network (NN) with different timescales. Two NN identifiers are proposed for nonlinear systems identification via dynamic NNs with different timescales including both fast and slow phenomenon. The first NN identifier uses the output signals from the actual system for the system identification. In the second NN identifier, all the output signals from nonlinear system are replaced with the state variables of the NNs. The online identification algorithms for both NN identifier parameters are proposed using Lyapunov function and singularly perturbed techniques. With the identified NN models, two indirect adaptive NN controllers for the nonlinear systems containing slow and fast dynamic processes are developed. For both developed adaptive NN controllers, the trajectory errors are analyzed and the stability of the systems is proved. Simulation results show that the controller based on the second identifier has better performance than that of the first identifier.

BackgroundsSelf-efficacy plays an important role in pulmonary rehabilitation, but it is still unknown which factors exert their effects on postsurgical rehabilitation self-efficacy among non-small cell lung cancer (NSCLC) patients. This study aims to assess relationships among physical function, social factors, psychological factors, quality of life (QOL) and self-efficacy, and the effects of these variables on self-efficacy among NSCLC patients.MethodsA cross-sectional survey was administered to 238 postsurgical NSCLC patients (response rate 95.2%) at five tertiary hospitals in Fuzhou, China. the participants completed a pack of questionnaires. Structural equation modeling (SEM) was conducted to test the hypothetical model.ResultsThe SEM results supported the hypothesized structural model (χ2/df = 1.511, p>0.05). The final model showed that confrontation coping, subjective well-being (SWB), social support, psychological growth (PTG) and anxiety and depression can be directly related to self-efficacy (coefficient = 0.335, coefficient = 0.288, coefficient = 0.150, coefficient = 0.024, and coefficient = -0.004, respectively, p<0.01). Confrontation coping also had indirect effect via SWB (coefficient = 0.085, p<0.01), which had indirect connection via PTG (coefficient = 0.005, p<0.01). Social support and anxiety and depression had indirect pathways as well. As expected, self-efficacy directly affected the quality of life.ConclusionsThis study suggests that higher confrontation coping style, SWB, social support, and PTG and lower anxiety and depression levels could effectively enhance their self-efficacy and consequently, improve QOL. These findings may help develop an intervention aimed at enhancing self-efficacy for this patient population.

Objectives To examine Chinese nurses' practice of reading and understanding scientific literature and elucidate the motivating and deterring factors. Methods This is a cross-sectional study conducted between March and June 2015. A random sample of 853 full-time registered nurses from three tertiary and two secondary hospitals in China filled out a set of self-administered questionnaires, including literature habit questionnaire(41 items), the situational motivation scale and the socio-demographic and professional characteristics questionnaire(15 items). Results Significant majority (89.2%) of the respondents reported perception of barriers to keeping up to date with literature. The language barrier was the most prominent, followed by poor presentation and readability of articles. Using simpler language when writing articles, improving ones' foreign language proficiency and getting education or training on nursing research were raised as the top facilitators. Additionally, reading and understanding literature was significantly associated with the nurses' educational background, motivation, genders and work settings. Conclusions The survey of the current status of literature education among Chinese nurses suggests that providing protected time, training for critical thinking, and incentive mechanisms will help improve nurses' engagement in literature and create a culture of academic inquiry.

We present a conceptual architecture for adaptive human-computer interface of a PT operation platform based on context-awareness. This architecture will form the basis of design for such an interface. This paper describes components, key technologies, and working principles of the architecture. The critical contents covered context information modeling, processing, relationship establishing between contexts and interface design knowledge by use of adaptive knowledge reasoning, and visualization implementing of adaptive interface with the aid of interface tools technology.