Thriving Through Pain: A Whole-Person and Resilience Comparative Study Using Mobile Health Application Technology for Individuals With Self-Reported Pain Challenges.

Background: Pain is a complex condition and affects one's life beyond physical symptoms. National pain management recommendations include a whole-person approach that includes strengths (or resilience).

Purpose: The purpose of this study was to examine de-identified data from the MyStrengths+MyHealth application to examine, Strengths, Challenges, and Needs for the population and a subset of the data for those with and without self-reported Challenges in the Pain concept.

Machine learning methods to discover hidden patterns in well-being and resilience for healthy aging.

Background: A whole person approach to healthy aging can provide insight into social factors that may be critical. Digital technologies, such as mobile health (mHealth) applications, hold promise to provide novel insights for healthy aging and the ability to collect data between clinical care visits. Machine learning/artificial intelligence methods have the potential to uncover insights into healthy aging.

Training in Public Health Informatics and Technology Leveraging a Multi-institutional Partnership Model and Emphasizing Experiential Learning.

Background And Objective:  Though public health is an information-intense profession, there is a paucity of workforce with Public Health Informatics and Technology (PHIT) skills, which was evident during the coronavirus disease 2019 (COVID-19) pandemic. This need is addressed through the PHIT workforce program (2021-2025) by the Office of the National Coordinator for training and to increase racial and ethnic diversity in the PHIT workforce. The objective is to share details on the Training in Informatics for Underrepresented Minorities in Public Health (TRIUMPH) consortium, funded by the PHIT workforce program.

Nurses' Roles in Artificial Intelligence Implementation: Results from a Mixed-Methods Study.

We aimed to understand nursing informaticists' perspectives on key challenges, questions, and opportunities for the nursing profession as it prepares for an era of healthcare delivery enriched by artificial intelligence (AI). We found that nursing practice is currently, and will continue to be, directly influenced by AI in healthcare. Educating and training nurses so that they may safely and effectively use AI in their clinical practice and engage in implementation planning and evaluation will help overcome predicted challenges.

Design of patient-facing immunization visualizations affects task performance: an experimental comparison of 4 electronic visualizations.

Objective: This study experimentally evaluated how well lay individuals could interpret and use 4 types of electronic health record (EHR) patient-facing immunization visualizations.

Materials And Methods: Participants (n = 69) completed the study using a secure online survey platform. Participants viewed the same immunization information in 1 of 4 EHR-based immunization visualizations: 2 different patient portals (Epic MyChart and eClinicWorks), a downloadable EHR record, and a clinic-generated electronic letter (eLetter).

Examining Resilient Pain Behaviors for Chronic Low Back Pain: A Scoping Review.

Objectives: The objective of this scoping review was to examine resilience and resilient pain behaviors for those with CLBP in relation to resilience definitions, operationalization (e.g. trait or behavior), and application of theoretical frameworks.

A Systematic Review of Nurses' Perceptions of Electronic Health Record Usability Based on the Human Factor Goals of Satisfaction, Performance, and Safety.

The poor usability of electronic health records contributes to increased nurses' workload, workarounds, and potential threats to patient safety. Understanding nurses' perceptions of electronic health record usability and incorporating human factors engineering principles are essential for improving electronic health records and aligning them with nursing workflows. This review aimed to synthesize studies focused on nurses' perceived electronic health record usability and categorize the findings in alignment with three human factor goals: satisfaction, performance, and safety.

Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition.

Objective: To construct an exhaustive Complementary and Integrative Health (CIH) Lexicon (CIHLex) to help better represent the often underrepresented physical and psychological CIH approaches in standard terminologies, and to also apply state-of-the-art natural language processing (NLP) techniques to help recognize them in the biomedical literature.

Materials And Methods: We constructed the CIHLex by integrating various resources, compiling and integrating data from biomedical literature and relevant sources of knowledge. The Lexicon encompasses 724 unique concepts with 885 corresponding unique terms.

Extracting Complementary and Integrative Health Approaches in Electronic Health Records.

Complementary and Integrative Health (CIH) has gained increasing popularity in the past decades. While the evidence bases to support them are growing, there is still a gap in understanding their effects and potential adverse events using real-world data. The overall goal of this study is to represent information pertinent to both psychological and physical CIH approaches (specifically, using examples of music therapy, chiropractic, and aquatic exercise in this study) in an electronic health record (EHR) system.

Critical consciousness of public health nurses: A descriptive, comparative survey.

Background: Public Health Nurses (PHN) caring for vulnerable populations amid systemic inequality must navigate complex situations, and consequently they may experience serious moral distress known to be detrimental to PHN wellbeing.

Objective: Given PHN awareness of social inequities, the study aimed to determine if PHNs were motivated to enact social change and engage in social and political action to address inequality.

Design And Sample: A survey of 173 PHNs was conducted in fall 2022.

Advantages and disadvantages of using theory-based versus data-driven models with social and behavioral determinants of health data.

Objective: Theory-based research of social and behavioral determinants of health (SBDH) found SBDH-related patterns in interventions and outcomes for pregnant/birthing people. The objectives of this study were to replicate the theory-based SBDH study with a new sample, and to compare these findings to a data-driven SBDH study.

Materials And Methods: Using deidentified public health nurse-generated Omaha System data, 2 SBDH indices were computed separately to create groups based on SBDH (0-5+ signs/symptoms).

Examining standardized consumer-generated social determinants of health and resilience data supported by Omaha System terminology.

Nursing terminologies like the Omaha System are foundational in realizing the vision of formal representation of social determinants of health (SDOH) data and whole-person health across biological, behavioral, social, and environmental domains. This study objective was to examine standardized consumer-generated SDOH data and resilience (strengths) using the MyStrengths+MyHealth (MSMH) app built using Omaha System. Overall, 19 SDOH concepts were analyzed including 19 Strengths, 175 Challenges, and 76 Needs with additional analysis around Income Challenges.

Using data visualization to characterize whole-person health of public health nurses.

Objective: To characterize patterns in whole-person health of public health nurses (PHNs).

Design And Sample: Survey of a convenience sample of PHNs (n = 132) in 2022. PHNs self-identified as female (96.

Synthesis of Long COVID Symptoms: An Evidence-Based Standardized Mapping Study With the Omaha System.

In COVID-19 survivors, symptom burden is a significant and multifaceted personal and societal challenge. The Omaha system is a standardized terminology used by researchers and clinicians for documentation and analysis of meaningful data for whole-person health. Given the urgent need for a standardized symptom checklist specific to the long COVID population, the purpose of the present study was to identify long COVID symptoms from the published literature (native symptoms) and map those to the Omaha system signs/symptoms terms.

Comparison of SIREN social needs screening tools and Simplified Omaha System Terms: informing an informatics approach to social determinants of health assessments.

Objective: Numerous studies indicate that the social determinants of health (SDOH), conditions in which people work, play, and learn, account for 30%-55% of health outcomes. Many healthcare and social service organizations seek ways to collect, integrate, and address the SDOH. Informatics solutions such as standardized nursing terminologies may facilitate such goals.

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).

Prioritizing nutrition interventions for low-income clients receiving public health nurses' home visiting services: a latent class analysis study of Omaha System data.

Objective: This study aimed to identify phenotypes of nutritional needs of home-visited clients with low income, and compare overall changes in knowledge, behavior, and status of nutritional needs before and after home visits by identified phenotypes.

Materials And Methods: Omaha System data collected by public health nurses from 2013 to 2018 were used in this secondary data analysis study. A total of 900 low-income clients were included in the analysis.