No abstract

Carefully designed infographics can be useful tools to support comprehension and thus help patients engage with their own health data. Infographics may contribute to patients' ability to participate in the Learning Health System through participation in the development of a robust data utility, use of clinical communication tools for health self-management, and involvement in building knowledge through patient-reported outcomes.

Objectives: Depression frequently co-occurs with multiple chronic diseases in complex, costly, and dangerous patterns of multimorbidity. The field of health psychology may benefit from evaluating the temporal characteristics of depression’s associations with common diseases, and from determining whether depression is a central connector in multimorbid disease clusters. The present review addresses these issues by focusing on 4 of the most prevalent diseases: hypertension, ischemic heart disease, arthritis, and diabetes. Method: Study 1 assessed how prior chronic disease diagnoses were associated with current depression in a large, cross-sectional, population-based study. It assessed depression’s centrality using network analysis accounting for disease prevalence. Study 2 presents a systematic scoping review evaluating the extent to which depression was prospectively associated with the onset of the 4 prevalent chronic diseases. Results: In Study 1 depression had the fourth highest betweenness centrality ranking of 26 network nodes and centrally connected many existing diseases and unhealthy behaviors. In Study 2 depression was associated with subsequent incidence of ischemic heart disease and diabetes across multiple meta-analyses. Insufficient information was available about depression’s pro-spective associations with incident hypertension and arthritis. Conclusions: Depression is central in patterns of multimorbidity and is associated with incident disease for several of the most common chronic diseases, justifying the focus on screening and treatment of depression in those at risk for developing chronic disease. Future research should investigate the mediating and moderating roles of health behaviors in the association between depression and the staggered emergence over time of clusters of multimorbid chronic diseases.

The objective of this study was to examine the factor structure, internal consistency reliability, and responsiveness of the Self-Assessment of Nursing Informatics Competencies Scale (SANICS). Combined BS/MS nursing students (N=336) completed the 93-item scale, which was based upon published and locally-developed nursing informatics competency statements. Exploratory principal component analysis with oblique promax rotation extracted five factors comprising 30 items that explained 63.7% of the variance: clinical informatics role (α = .91), basic computer knowledge and skills (α =.94), applied computer skills: clinical informatics (α =.89), nursing informatics attitudes (α =.94), and wireless device skills (α =.90). Scale responsiveness was supported by significantly higher factor scores following an informatics course. This study provided preliminary evidence for the factor structure, internal consistency reliability and responsiveness of the 30-item SANICS. Further testing other samples is recommended.

Use of data generated through social media for health studies is gradually increasing. Twitter is a short-text message system developed 6 years ago, now with more than 100 million users generating over 300 million Tweets every day. Twitter may be used to gain real-world insights to promote healthy behaviors. The purposes of this paper are to describe a practical approach to analyzing Tweet contents and to illustrate an application of the approach to the topic of physical activity. The approach includes five steps: (1) selecting keywords to gather an initial set of Tweets to analyze; (2) importing data; (3) preparing data; (4) analyzing data (topic, sentiment, and ecologic context); and (5) interpreting data. The steps are implemented using tools that are publically available and free of charge and designed for use by researchers with limited programming skills. Content mining of Tweets can contribute to addressing challenges in health behavior research.

Healthcare environments are increasingly implementing health information technology (HIT) and those from various professions must be competent to use HIT in meaningful ways. In addition, HIT has been shown to enable interprofessional approaches to health care. The purpose of this article is to describe the refinement of the Self-Assessment of Nursing Informatics Competencies Scale (SANICS) using analytic techniques based upon item response theory (IRT) and discuss its relevance to interprofessional education and practice. In a sample of 604 nursing students, the 93-item version of SANICS was examined using non-parametric IRT. The iterative modeling procedure included 31 steps comprising: (1) assessing scalability, (2) assessing monotonicity, (3) assessing invariant item ordering, and (4) expert input. SANICS was reduced to an 18-item hierarchical scale with excellent reliability. Fundamental skills for team functioning and shared decision making among team members (e.g. "using monitoring systems appropriately," "describing general systems to support clinical care") had the highest level of difficulty, and "demonstrating basic technology skills" had the lowest difficulty level. Most items reflect informatics competencies relevant to all health professionals. Further, the approaches can be applied to construct a new hierarchical scale or refine an existing scale related to informatics attitudes or competencies for various health professions.

Background: Poor adherence to prescribed antihypertensive medication is a major contributor to disparities in effective blood pressure control among Hispanics. The purpose of this study was to investigate the association between health literacy level and adherence to antihypertensive medications among Hispanic adults, who self-reported hypertension, controlling for potential covariates of adherence and/or health literacy. Methods:We conducted a cross-sectional survey of 1,355 Hispanic adults, primarily Dominicans, who self-reported hypertension. Antihypertensive medication adherence and health literacy were evaluated along with covariates including sociodemographic characteristics, depression, anxiety, and sleep disturbance. Linear regression models were created for health literacy, each covariate, and adherence. Factors found to be significantly associated with adherence in the individual regression models at a p-value of <0.20 were included in a hierarchical multiple linear regression model. Results:Overall, the majority of participants had low adherence levels to antihypertensive medications (88.4%; n=1,026) and inadequate health literacy (84.9%; n=1,151). When controlling for age, sex, birth country, education level, recruitment location, depression, anxiety, and sleep disturbance, having adequate as compared to inadequate health literacy was associated with a higher adherence score (b=0.378, p=0.043). The full model explained 13.6% of the variance in

Sisom is an interactive tool designed to help children communicate their cancer symptoms. Important design issues relevant to other cancer populations remain unexplored. This single-site, descriptive, qualitative study was conducted to linguistically validate Sisom with a group of French-speaking children with cancer, their parents, and health care professionals. The linguistic validation process included 6 steps: (1) forward translation, (2) backward translation, (3) patient testing, (4) production of a Sisom French version, (5) patient testing this version, and (6) production of the final Sisom French prototype. Five health care professionals and 10 children and their parents participated in the study. Health care professionals oversaw the translation process providing clinically meaningful suggestions. Two rounds of patient testing, which included parental participation, resulted in the following themes: (1) comprehension, (2) suggestions for improving the translations, (3) usability, (4) parental engagement, and (5) overall impression. Overall, Sisom was well received by participants who were forthcoming with input and suggestions for improving the French translations. Our proposed methodology may be replicated for the linguistic validation of other e-health tools.