Nurses\u27 Own Birth Experiences Influence Labor Support Attitudes and Behaviors

Objective To describe the attitudes of intrapartum nurses about the importance of and intent to provide professional labor support (PLS); barriers to PLS, such as perceived subjective norms and perceived behavioral control; and relationships among attitudes, behaviors, and nurse and site characteristics. Design A cross-sectional, mixed-methods, descriptive design was guided by the Theory of Planned Behavior. Setting Three hospital sites in one region of a single Midwestern state. Participants Sixty intrapartum nurses participated. Methods The Labor Support Questionnaire and demographic questionnaire were administered online. The Labor Support Questionnaire is used to measure attitudes about the importance of and intended behaviors associated with labor support. Results Nurse Caring Behaviors was the highest rated PLS dimension. Participants\u27 own personal birth experiences and length of current intrapartum experience were positively correlated with attitudes about and intent to provide PLS. Barriers to PLS included staffing, documentation, physicians, use of epidural analgesia, doulas, and birth plans. Conclusion Personal birth and work experience influenced attitudes about and intent to provide PLS and demonstrated the relationships described in the Theory of Planned Behavior. Intrapartum nurses may benefit from an examination of their personal experiences to see how they might influence attitudes about PLS. Enhanced training and expanded labor and birth experience for novice nurses or students may improve attitudes and intended behavior with regard to PLS. Further investigations of the factors that affect integration of PLS into care are important to promote healthy birth outcomes

Developing a model of mental health self-care support for children and young people through an integrated evaluation of available types of provision involving systematic review, meta-analysis and case study

Background The mental health of children and young people (CYP) is a major UK public health concern. Recent policy reviews have identified that service provision for CYP with mental health needs is not as effective, responsive, accessible or child-centred as it could be. Following on from a previous National Institute for Health Research (NIHR) study into self-care support for CYP with long-term physical health needs, this study explored self-care support’s potential in CYP’s mental health. Objectives To identify and evaluate the types of mental health self-care support used by, and available to, CYP and their parents, and to establish how such support interfaces with statutory and non-statutory service provision. Design Two inter-related systematic literature reviews (an effectiveness review with meta-analysis and a perceptions review), together with a service mapping exercise and case study. Setting Global (systematic reviews); England and Wales (mapping exercise and case study). Participants (case study) Fifty-two individuals (17 CYP, 16 family members and 19 staff) were interviewed across six sites. Main outcome measures (meta-analysis) A measure of CYP’s mental health symptomatology. Data sources (literature reviews) MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, All Evidence-Based Medicine (EBM) Reviews, Applied Social Sciences Index and Abstracts (ASSIA) and Education Resources Information Center (ERIC). Review methods Titles and abstracts of papers were screened for relevance then grouped into studies. Two independent reviewers extracted data from studies meeting the inclusion criteria. A descriptive analysis and meta-analysis were conducted for the effectiveness review; descriptive analyses were conducted for the perceptions review. These analyses were integrated to elicit a mixed-methods review. Results Sixty-five of 71 included studies were meta-analysable. These 65 studies elicited 71 comparisons which, when meta-analysed, suggested that self-care support interventions were effective at 6-month [standardised mean difference (SMD) = −0.20; 95% confidence interval (CI) −0.28 to −0.11] and 12-month (SMD = −0.12; 95% CI −0.17 to −0.06) follow-ups. However, judged against Cochrane criteria, the studies were mostly low quality. Key elements of self-care support identified in the perceptions review were the acquisition of knowledge and skills, peer support and the relationship with the self-care support agent; CYP also had different perceptions from adults about what is important in self-care support. The mapping exercise identified 27 providers of 33 self-care support services. According to the case study data, effective self-care support services are predicated on flexibility; straightforward access; non-judgemental, welcoming organisations and staff; the provision of time and attention; opportunities to learn and practise skills relevant to self-care; and systems of peer support. Conclusions Mental health self-care support interventions for CYP are modestly effective in the short to medium term. Self-care support can be conceptualised as a process which has overlap with ‘recovery’. CYP and their families want choice and flexibility in the provision of such interventions and a continued relationship with services after the nominal therapy period. Those delivering self-care support need to have specific child-centred attributes. Future work Future work should focus on under-represented conditions (e.g. psychosis, eating disorders, self-harm); the role of technology, leadership and readiness in self-care support; satisfaction in self-care support; the conceptualisation of self-care support in CYP’s mental health; and efficacy and cost-effectiveness

Jealousy as a Function of Rival Characteristics: Two large replication studies and meta-analyses support gender differences in reactions to rival attractiveness but not dominance

Jealousy is a key emotion studied in the context of romantic relationships. One seminal study (Dijkstra, P., & Buunk, B. (1998). Jealousy as a function of rival characteristics: An evolutionary perspective. Personality and Social Psychology Bulletin, 24 (11), 1158–1166. https://doi.org/10.1177/01461672982411003) investigated the interactions between a participant’s gender and their reactions to the attractiveness or dominance of a romantic rival. In a vignette-based study, it was found that women’s jealousy was more responsive than men’s to a rival’s attractiveness, whereas in contrast, the rival’s dominance evoked more jealousy from men than from women. Here, we attempt to replicate these interactions in two samples (N = 339 and N = 456) and present subsequent meta-analyses (combined Ns = 5,899 and 4,038, respectively). These meta-analyses showed a small, significant effect of gender on jealousy provoked by rival attractiveness, but no such response to rival dominance. We discuss the potential reasons for these findings and future directions for research on jealousy and rival characteristics

Engineering Trust - Reciprocity in the Production of Reputation Information

Reciprocity in feedback giving distorts the production and content of reputation information in a market, hampering trust and trade efficiency. Guided by feedback patterns observed on eBay and other platforms we run laboratory experiments to investigate how reciprocity can be managed by changes in the way feedback information flows through the system, leading to more accurate reputation information, more trust and more efficient trade. We discuss the implications for theory building and for managing the redesign of market trust systems.market design, reputation, trust, reciprocity, eBay

An Investigation of Social Support Features of Digital Health Applications

Using digital health applications for health behaviour intervention is becoming popular. Among all application features designed for nudging users\u27 behaviour changes, social support features have received great attention, as social support is shown to reduce patients\u27 uncertainty and improve health behaviour engagement. A variety of social support features have been implemented, but how they are related to app performance, such as app ratings, downloads and review numbers, is unknown. This paper aims to understand the relationship between social support features and these app performance indicators, and identify common ways of providing social support. Three types of social support features have been identified through a review of selected health apps: the support from social networks, from in-app communities, and from health professionals. Apps with social support features are found to have higher review numbers, although not correlate with ratings or download numbers. Potential theoretical and practical implications are discussed, together with the future research plan

Predicting online product sales via online reviews, sentiments, and promotion strategies

Purpose – The purpose of this paper is to investigate if online reviews (e.g. valence and volume), online promotional strategies (e.g. free delivery and discounts) and sentiments from user reviews can help predict product sales. Design/methodology/approach – The authors designed a big data architecture and deployed Node.js agents for scraping the Amazon.com pages using asynchronous input/output calls. The completed web crawling and scraping data sets were then preprocessed for sentimental and neural network analysis. The neural network was employed to examine which variables in the study are important predictors of product sales. Findings – This study found that although online reviews, online promotional strategies and online sentiments can all predict product sales, some variables are more important predictors than others. The authors found that the interplay effects of these variables become more important variables than the individual variables themselves. For example, online volume interactions with sentiments and discounts are more important than the individual predictors of discounts, sentiments or online volume. Originality/value – This study designed big data architecture, in combination with sentimental and neural network analysis that can facilitate future business research for predicting product sales in an online environment. This study also employed a predictive analytic approach (e.g. neural network) to examine the variables, and this approach is useful for future data analysis in a big data environment where prediction can have more practical implications than significance testing. This study also examined the interplay between online reviews, sentiments and promotional strategies, which up to now have mostly been examined individually in previous studies

”Status Effect” in User-Generated Content: Evidence from Online Service Reviews

This paper provides first empirical evidence on the impact of reviewer status on the objectivity of his contributions in online communities. While previous research indicates that user-generated online reviews guide consumer decision making, little is known about drivers of the actual review generation process. By drawing on Functional Role Theory, we derive four research hypotheses covering the general research question of factors influencing the objectivity of service reviews. Utilizing a data sample covering 413,077 reviews posted over 12 years on www.TripAdvisor.com, we evaluate our research model. Our findings indicate that with increased user status, review objectivity increases. Thus, we contribute to theory by generalizing the so-called Popularity Effect to a multi-dimensional Status Effect , which is more widely applicable (e.g. settings without users-follow-users relationships). Furthermore, our results enable practitioners to find their most valuable content-producers