Characterizing terminology applied by authors and database producers to informatics literature on consumer engagement with wearable devices.

OBJECTIVE: Identifying consumer health informatics (CHI) literature is challenging. To recommend strategies to improve discoverability, we aimed to characterize controlled vocabulary and author terminology applied to a subset of CHI literature on wearable technologies. MATERIALS AND METHODS: To retrieve articles from PubMed that addressed patient/consumer engagement with wearables, we developed a search strategy of textwords and Medical Subject Headings (MeSH). To refine our methodology, we used a random sample of 200 articles from 2016 to 2018. A descriptive analysis of articles (N = 2522) from 2019 identified 308 (12.2%) CHI-related articles, for which we characterized their assigned terminology. We visualized the 100 most frequent terms assigned to the articles from MeSH, author keywords, CINAHL, and Engineering Databases (Compendex and Inspec together). We assessed the overlap of CHI terms among sources and evaluated terms related to consumer engagement. RESULTS: The 308 articles were published in 181 journals, more in health journals (82%) than informatics (11%). Only 44% were indexed with the MeSH term "wearable electronic devices." Author keywords were common (91%) but rarely represented consumer engagement with device data, eg, self-monitoring (n = 12, 0.7%) or self-management (n = 9, 0.5%). Only 10 articles (3%) had terminology from all sources (authors, PubMed, CINAHL, Compendex, and Inspec). DISCUSSION: Our main finding was that consumer engagement was not well represented in health and engineering database thesauri. CONCLUSIONS: Authors of CHI studies should indicate consumer/patient engagement and the specific technology investigated in titles, abstracts, and author keywords to facilitate discovery by readers and expand vocabularies and indexing.

Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study.

BACKGROUND: A clinician's biased behavior toward patients can affect the quality of care. Recent literature reviews report on widespread implicit biases among clinicians. Although emerging studies in hospital settings show racial biases in the language used in clinical documentation within electronic health records, no studies have yet investigated the extent of judgment language in home health care. OBJECTIVE: We aimed to examine racial differences in judgment language use and the relationship between judgment language use and the amount of time clinicians spent on home visits as a reflection of care quality in home health care. METHODS: This study is a retrospective observational cohort study. Study data were extracted from a large urban home health care organization in the Northeastern United States. Study data set included patients (N=45,384) who received home health care services between January 1 and December 31, 2019. The study applied a natural language processing algorithm to automatically detect the language of judgment in clinical notes. RESULTS: The use of judgment language was observed in 38% (n=17,141) of the patients. The highest use of judgment language was found in Hispanic (7,167/66,282, 10.8% of all clinical notes), followed by Black (7,010/65,628, 10.7%), White (10,206/107,626, 9.5%), and Asian (1,756/22,548, 7.8%) patients. Black and Hispanic patients were 14% more likely to have notes with judgment language than White patients. The length of a home health care visit was reduced by 21 minutes when judgment language was used. CONCLUSIONS: Racial differences were identified in judgment language use. When judgment language is used, clinicians spend less time at patients' homes. Because the language clinicians use in documentation is associated with the time spent providing care, further research is needed to study the impact of using judgment language on quality of home health care. Policy, education, and clinical practice improvements are needed to address the biases behind judgment language.

A Qualitative Exploration of Desired mHealth App Mechanisms Related to Daily Life Influences for College Nursing Students.

Introduction: Mobile health (mHealth) apps are digital health tools that allow for the delivery and access to vital health information, support, and encouragement needed to foster positive behavior change. Designing and developing mHealth solutions based on daily life influences for nursing students is imperative to establishing healthier physical and mental health habits. Methods: Multiple focus groups (n=10) were conducted, and a questionnaire (n=11) was administered to undergraduate students in the professional nursing component. Themed analysis of focus-group data was conducted along with descriptive analysis of the questionnaire. Results: All participants stated it has been more difficult to maintain a healthy lifestyle since beginning the nursing program. This deterioration can be attributed to three key areas: mental health needs/support, rigor of nursing school, and decline in positive health choices. Participants stated they would use an mHealth app designed specifically for nursing students to combat deterioration of their health. Conclusions: The results of this study (100% positive response rate) reveal mHealth applications might be a powerful tool in helping nursing students transform their physical and mental health. It appears that if an mHealth application is created with the specific "must-haves" of nursing students then we might experience a positive shift in health behaviors for nursing students, which will hopefully transcend into their careers as nurses.

Effects of the Perceived Risk of Contracting COVID-19 on Nursing Students' Well-Being.

BACKGROUND: Although mental health symptoms increased during the coronavirus disease 2019 (COVID-19) pandemic, little is known about the associations between nursing students' perceived risk of contracting COVID-19 and their academic and psychological well-being. This study examined associations between perceived COVID-19 risk, likelihood of completing nursing education, and mental health factors of nursing students. METHOD: A total of 979 nursing students completed self-report measures of perceived COVID-19 risk, anticipated academic completion, anxiety and depressive symptoms, stress, coping self-efficacy, hope, and social support. RESULTS: Students with higher perceived COVID-19 risk reported increased anxiety and depression as well as decreased likelihood of graduating, coping self-efficacy, and levels of social support. CONCLUSION: Findings indicate the need for increased mental health support for nursing students for successful completion of their programs. Educators should increase support and proactively strengthen positive psychology factors to mitigate the effects of COVID-19 and other crises on nursing students' well-being. [J Nurs Educ. 2022;61(11):641-645.].

The Intersection of Persuasive System Design and Personalization in Mobile Health: Statistical Evaluation.

BACKGROUND: Persuasive technology is an umbrella term that encompasses software (eg, mobile apps) or hardware (eg, smartwatches) designed to influence users to perform preferable behavior once or on a long-term basis. Considering the ubiquitous nature of mobile devices across all socioeconomic groups, user behavior modification thrives under the personalized care that persuasive technology can offer. However, there is no guidance for developing personalized persuasive technologies based on the psychological characteristics of users. OBJECTIVE: This study examined the role that psychological characteristics play in interpreted mobile health (mHealth) screen perceived persuasiveness. In addition, this study aims to explore how users' psychological characteristics drive the perceived persuasiveness of digital health technologies in an effort to assist developers and researchers of digital health technologies by creating more engaging solutions. METHODS: An experiment was designed to evaluate how psychological characteristics (self-efficacy, health consciousness, health motivation, and the Big Five personality traits) affect the perceived persuasiveness of digital health technologies, using the persuasive system design framework. Participants (n=262) were recruited by Qualtrics International, Inc, using the web-based survey system of the XM Research Service. This experiment involved a survey-based design with a series of 25 mHealth app screens that featured the use of persuasive principles, with a focus on physical activity. Exploratory factor analysis and linear regression were used to evaluate the multifaceted needs of digital health users based on their psychological characteristics. RESULTS: The results imply that an individual user's psychological characteristics (self-efficacy, health consciousness, health motivation, and extraversion) affect interpreted mHealth screen perceived persuasiveness, and combinations of persuasive principles and psychological characteristics lead to greater perceived persuasiveness. The F test (ie, ANOVA) for model 1 was significant (F9,6540=191.806; P<.001), with an adjusted R2 of 0.208, indicating that the demographic variables explained 20.8% of the variance in perceived persuasiveness. Gender was a significant predictor, with women having higher perceived persuasiveness (P=.008) relative to men. Age was a significant predictor of perceived persuasiveness with individuals aged 40 to 59 years (P<.001) and ≥60 years (P<.001). Model 2 was significant (F13,6536=341.035; P<.001), with an adjusted R2 of 0.403, indicating that the demographic variables self-efficacy, health consciousness, health motivation, and extraversion together explained 40.3% of the variance in perceived persuasiveness. CONCLUSIONS: This study evaluates the role that psychological characteristics play in interpreted mHealth screen perceived persuasiveness. Findings indicate that self-efficacy, health consciousness, health motivation, extraversion, gender, age, and education significantly influence the perceived persuasiveness of digital health technologies. Moreover, this study showed that varying combinations of psychological characteristics and demographic variables affected the perceived persuasiveness of the primary persuasive technology category.

Undergraduate versus graduate nursing students: Differences in nutrition, physical activity, and self-reported body mass index.

ObjectiveThis study compared self-reported nutrition, physical activity, and body mass index (BMI) in undergraduate versus graduate nursing students.ParticipantsRespondents included 233 undergraduate and 230 graduate nursing students in a Southeastern public university.MethodsThe study was an exploratory, descriptive, cross-sectional comparison administered via online questionnaire including self-reported demographics, nutritional intake, physical activity, and BMI.ResultsUndergraduates reported exercising more than graduate students. Graduate students reported consuming significantly more vegetables than undergraduates; however, more graduate students self-reported BMIs in overweight and obese categories than undergraduates.ConclusionsFindings provide a foundational understanding that interventions or educational programs to improve self-care behaviors of nursing students should be tailored depending on the educational level of the students. Educators must establish self-care skills within nursing students at all levels to help them preserve their health in the fast-paced, strenuous, and stressful work of all echelons of nursing upon completion of the educational program.

Health Information Privacy Laws in the Digital Age: HIPAA Doesn't Apply.

The notion of health information privacy has evolved over time as the healthcare industry has embraced technology. Where once individuals were concerned about the privacy of their conversations and financial information, the digitization of health data has created new challenges for those responsible for ensuring that patient information remains secure and private. Coupled with the lack of updated, overarching legislation, a critical gap exists between advancements in technology, consumer informatics tools and privacy regulations. Almost twenty years after the HIPAA (Health Insurance Portability and Accountability Act) compliance date, the healthcare industry continues to seek solutions to privacy challenges absent formal contemporary law. Since HIPAA, a few attempts have been made to control specific aspects of health information including genetic information and use of technology however none were visionary enough to address issues seen in today's digital data focused healthcare environment. The proliferation of digital health data, trends in data use, increased use of telehealth applications due to COVID-19 pandemic and the consumer's participatory role in healthcare all create new challenges not covered by the existing legal framework. Modern efforts to address this dilemma have emerged in state and international law though the United States healthcare industry continues to operate under a law written two decades ago. As technology continues to advance at a rapid pace along with consumers playing a greater role in the management of their healthcare through digital health the privacy guidance provided by federal law must also shift to reflect the new reality.

A practical approach to obesity prevention: Healthy home habits.

ABSTRACT: Families have the potential to foster a healthy home environment aimed at reducing the risk of overweight and obesity. Establishing habits associated with reduced risk of obesity and overweight early in childhood can have lasting effects into adulthood. Nurse practitioners can encourage families to participate in healthy habits by addressing areas of growth for obesity prevention within the home. A review of the most recent literature, approximately over the past decade, was used to provide a consolidated source of reference for healthy home habits for the nurse practitioner. The search included terms such as "obesity," "overweight," "healthy habits," "physical activity," "obesogenic behaviors," "family meals," "screen time," "depression," "sugary beverages," and "portion sizes." The information was synthesized into three content areas: nutrition and consumption, patterns of activity, and stress within the home. Establishing healthy habits early in life can protect against the development of overweight and obesity. Nurse practitioners can serve a vital role in the prevention of pediatric, adolescent, and adult obesity. Equipped with the unique role of assisting those from a diverse patient base, nurse practitioners can inform patients how to improve healthy habits to decrease the likelihood of obesity or overweight. Encouraging behavior change related to the healthy habits associated with the prevention of overweight and obesity can have a long-term impact on the health of an entire family.

Characteristics of Negative and Positive Mental Health Among Nursing Students in the United States.

BACKGROUND: Researchers have documented significant psychological problems among nursing students, but findings have been inconclusive as to whether nursing students are "at-risk" for mental health problems compared with their non-nursing peers. AIMS: This study examined whether nursing students have unique mental health characteristics compared with students from other professions. METHOD: Undergraduates (N = 18,312; nursing n = 1,399) were selected from the 2016-2017 National Healthy Minds Study. Participants completed the Patient Health Questionnaire-9 (depression), the Generalized Anxiety Disorder-7 (anxiety), and the Flourishing Scale (positive psychology). RESULTS: Nursing students were equally likely to screen positive for depression and anxiety compared with their non-nursing peers. However, when controlling for gender, age, and year in school, multigroup structural equation modeling analyses revealed that female (but not male) nursing students reported significantly higher levels of specific anxiety symptoms and certain psychological strengths than female students from other professions. Nursing students are equally likely to screen positive for depression or anxiety as their non-nursing peers; however, anxiety disorders may reflect symptom profiles unique to nursing students. CONCLUSIONS: Findings suggest a need for tailored screening and interventions to reduce mental health problems and harness psychological strengths unique to nursing students.

Can caregivers trust information technology in the care of their patients? A systematic review.

The Health Insurance Portability and Accountability Act of 1996 (HIPAA) requires that healthcare providers allow patients to engage in their healthcare by allowing access to their health records. Often patients need informal caregivers including family members or others to help them with their care. This paper explores whether trust is a key factor for informal caregivers' decision to use health information technologies (HIT) including electronic health records (EHR), patient portals, mobile apps, or other devices to care for their patient. Six reviewers conducted a comprehensive search of four literature databases using terms that pertained to a caregiver and trust to investigate the role trust plays when caregivers use HIT. While trust is a key factor for the use of HIT, it the researchers only identified ten articles that met the research question thresholds. Four main topics of trust surfaced including perceived confidentiality, perceived security, technological malfunction, and trustworthiness of the information. Trust is a critical factor for informal caregivers when using HIT to assist in the care of their patient (child, loved one, parent, or acquaintance). Based on the findings, it is clear that more research on the use of HIT by caregivers is needed.

Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions.

In this extensive review of behavioral digital obesity interventions, we reviewed randomized control trials aimed at weight loss or maintaining weight loss and identifying persuasive categories and principles that drive these interventions. The following databases were searched for long-term obesity interventions: Medline, PsycINFO, Academic Search Complete, CINAHL and Scopus. The inclusion criteria included the following search terms: obesity, overweight, weight reduction, weight loss, obesity management, and diet control. Additional criteria included randomized control trial, ≥ 6 months intervention, ≥ 100 participants and must include persuasive technology. Forty-six publications were in the final review. Primary task support was the most frequently utilized persuasive system design (PSD) category and self-monitoring was the most utilized PSD principle. Behavioral obesity interventions that utilized PSD with a behavior change theory more frequently produced statistically significant weight loss findings. Persuasive technology and PSD in digital health play a significant role in the management and improvement of obesity especially when aligned with behavior change theories. Understanding which PSD categories and principles work best for behavioral obesity interventions is critical and future interventions might be more effective if they were based on these specific PSD categories and principles.

Food insecurity among nursing students: A mixed methods study.

BACKGROUND: College students are among 48.1 table million Americans who experience food insecurity, affecting aspects of daily living, health, and academic performance. This study sought to assess food security in nursing students to determine the prevalence and significance of this issue. METHODS: A mixed-methods descriptive design was utilized to collect and analyze data through an online survey of junior and senior undergraduate nursing students. Both qualitative and quantitative questions were related to personal experience with food insecurity. RESULTS: Approximately 40% of students responded that they were Sometimes/Often worried that food would run out before the next income arrived. In addition, 52% of the participants Sometimes/Often could not afford an adequate amount of food, and 35% reported having a shortage of food. CONCLUSION: University leadership, College of Nursing administrators, and nursing faculty should be aware of food insecurity among their students and identify strategies to assess and decrease this issue.

Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes.

BACKGROUND: Although there is a rise in the use of mobile health (mHealth) tools to support chronic disease management, evidence derived from theory-driven design is lacking. OBJECTIVE: The objective of this study was to determine the impact of an mHealth app that incorporated theory-driven trigger messages. These messages took different forms following the Fogg behavior model (FBM) and targeted self-efficacy, knowledge, and self-care. We assess the feasibility of our app in modifying these behaviors in a pilot study involving individuals with diabetes. METHODS: The pilot randomized unblinded study comprised two cohorts recruited as employees from within a health care system. In total, 20 patients with type 2 diabetes were recruited for the study and a within-subjects design was utilized. Each participant interacted with an app called capABILITY. capABILITY and its affiliated trigger (text) messages integrate components from social cognitive theory (SCT), FBM, and persuasive technology into the interactive health communications framework. In this within-subjects design, participants interacted with the capABILITY app and received (or did not receive) text messages in alternative blocks. The capABILITY app alone was the control condition along with trigger messages including spark and facilitator messages. A repeated-measures analysis of variance (ANOVA) was used to compare adherence with behavioral measures and engagement with the mobile app across conditions. A paired sample t test was utilized on each health outcome to determine changes related to capABILITY intervention, as well as participants' classified usage of capABILITY. RESULTS: Pre- and postintervention results indicated statistical significance on 3 of the 7 health survey measures (general diet: P=.03; exercise: P=.005; and blood glucose: P=.02). When only analyzing the high and midusers (n=14) of capABILITY, we found a statistically significant difference in both self-efficacy (P=.008) and exercise (P=.01). Although the ANOVA did not reveal any statistically significant differences across groups, there is a trend among spark conditions to respond more quickly (ie, shorter log-in lag) following the receipt of the message. CONCLUSIONS: Our theory-driven mHealth app appears to be a feasible means of improving self-efficacy and health-related behaviors. Although our sample size is too small to draw conclusions about the differential impact of specific forms of trigger messages, our findings suggest that spark triggers may have the ability to cue engagement in mobile tools. This was demonstrated with the increased use of capABILITY at the beginning and conclusion of the study depending on spark timing. Our results suggest that theory-driven personalization of mobile tools is a viable form of intervention. TRIAL REGISTRATION: ClinicalTrials.gov NCT04132089; http://clinicaltrials.gov/ct2/show/NCT004122089.

Characteristics of and Factors Influencing College Nursing Students' Willingness to Utilize mHealth for Health Promotion.

More than half of practicing nurses have suboptimal physical or mental health. Impaired health is associated with a 76% higher likelihood that nurses will make medical errors. Improving the health habits of nursing students is essential to shaping and sustaining health prior to joining the workforce. Technology such as mobile health applications holds great promise in facilitating behavioral change and encouraging healthy habits in nursing students. Identifying the predictors of willingness to use mobile health is essential to creating mobile health applications that will engage nursing students and promote sustainable usage. Evaluation of psychological, attitudinal, and health-related correlates of mobile health can highlight predictors of willingness to use mobile health, which can influence nursing students' utilization and long-term engagement with mobile health applications. Analysis of these correlates shows that psychological attributes, such as hope, play a role in the willingness to use and may facilitate engagement in the utilization of a mobile health application. Development of a mobile health application that increases hope and helps establish healthy habits may enable nursing students to remain healthy throughout their lives, creating a new generation of happier, healthier nurses and, ultimately, improving safety for patients under their care.