Next generation nurse scientists: A systems approach to engaging undergraduate students in research.

BACKGROUND: Nursing Doctor of Philosophy program enrollment has declined. Undergraduate nursing student (UGS) research engagement is associated with future graduate education, an essential element for building the nursing faculty pipeline. PURPOSE: (a) To describe the infrastructure and culture-enhancing resources and strategies associated with building UGS research engagement and (b) to evaluate UGS research engagement. METHODS: Guided by a socioecological systems model university and college documents, databases, and college of nursing survey results were used to identify approaches to, and outcomes of, engaging UGS in research. Descriptive statistics were calculated to illustrate 5-year UGS research engagement trends. FINDINGS: Resources and strategies included grant funding, research assistant funding, student research showcases, and faculty mentorship. UGS research 5-year engagement trends included (a) a 75% increase in the number of students mentored, (b) a 30% rise in funded research proposals, and (c) a 54% increase in paid research assistantships. DISCUSSION: Purposefully using existing resources, growing the college of nursing infrastructure, and cultivating a culture recognizing faculty contributions were approaches associated with increased UGS research engagement.

Unintended consequences of the electronic health record and cognitive load in emergency department nurses.

AIM: The study aimed to explore the relationship between the unintended consequences of the electronic health record and cognitive load in emergency department nurses. METHODS: The study utilized a correlational quantitative design with a survey method approach. This study had a 30.4 % response rate for a total of 304 ED nurse participants who were members of a national ED nursing organization. Data analysis included descriptive and correlational measurements of two instruments. RESULTS: In this study, there was a statistically significant, weak negative relationship between CL and UC-EHR in ED nurses, rs (264) = -0.154, p 0.002. Although a significant weak relationship was identified in this study, the study variables, subscales, and demographic data groupings presented moderate-to-strong positive, statistically significant correlations. Descriptive frequency data unveiled EHR stimulated patient safety threats occurring once a week to monthly. CONCLUSIONS: The novelty of this research study provided profound implications for the future of nursing practice, policy, and nursing science. EHR optimization to minimize patient safety risks is recommended with the inclusion of end-users from this study's identified subgroups. The researchers propose a reduction of EHR burden in nursing practice.

Exploring digital interventions to facilitate coping and discomfort for nurses experiencing the menopause in the workplace: An international qualitative study.

INTRODUCTION: The global nursing workforce is predominantly female, with a large proportion working in the 45-55 age group. Menopause is a transition for all women, and; therefore needs recognition as it can impact work performance and consequently staff turnover. BACKGROUND: Women will go through the menopause, but not all women are affected. The menopause transition presents a range of signs and symptoms both physical and psychological which can impact the quality of life and individuals' work/life balance. The nursing workforce is predominantly women that will work through the menopause transition. OBJECTIVES: The study explored perspectives on digital health interventions as strategies to support menopausal women and to understand the requirements for designing health interventions for support in the workplace. DESIGN: A qualitative explorative design. SETTINGS: Nurses working in a range of clinical settings in England, Finland, Denmark, New Zealand, Australia and USA. METHODS: Nurses (n = 48) participated in focus groups from six different countries from February 2020-June 2022 during the pandemic from a range of acute, primary care and education settings. Nurses were invited to participate to share their experiences. Thematic analysis was used. RESULTS: All participants were able to describe the physical symptoms of menopause, with some cultural and possible hemisphere differences; more noticeable was the psychological burden of menopause and fatigue that is not always recognized. Four themes were identified: Managing symptoms in the workplace; Recognition in the workplace; Menopause interventions; and Expectation versus the invisible reality. These themes revealed information that can be translated for implementation into digital health interventions. CONCLUSIONS: Managers of nursing female staff in the menopausal age range need greater awareness, and menopause education should involve everyone. Finally, our results demonstrate design attributes suitable for inclusion in digital health strategies that are aligned with likely alleviation of some of the discomforts of menopause. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Perceptions of COVID-19 and the Use of Health Information Technology Among People Who Are Uninsured: Multimethod Survey Study.

BACKGROUND: As of May 2023, the novel SARS-CoV-2 has claimed nearly 7 million lives globally and >1.1 million lives in the United States. Low-income populations are often disproportionately affected by risk factors such as lifestyle, employment, and limited health literacy. These populations may lack the knowledge of appropriate infection precautions or have reduced access to care during illness, particularly in countries without universal health care. OBJECTIVE: We aimed to explore the perceptions and experiences of COVID-19, including symptoms and risk factors among uninsured individuals seeking care at a free medical clinic, and to obtain respondents' perceptions of and suggestions for adapting a mobile health (mHealth) app to an uninsured population known to have low health literacy. METHODS: We conducted a prospective multimethod survey study with a convenience sample of uninsured adults seeking care at 3 free clinics in the United States. Respondents were questioned about their risk for and awareness of COVID-19 symptoms, COVID-19 testing, current technology use, and the use of technology to facilitate their health regarding COVID-19. Data were analyzed using descriptive statistics (eg, frequencies and mean differences). In addition, a small subset of respondents from one of the clinics (n=10) participated in interviews to provide feedback about the design of a COVID-19 web-based smartphone (mHealth) app. RESULTS: The survey respondents (N=240) were 53.8% (n=129) female, were primarily White (n=113, 47.1%), and had a mean age of 50.0 (SD 11.67; range 19-72) years. Most respondents (162/222, 73%) did not think that they were at risk for COVID-19. Although respondents reported only moderate confidence in their knowledge of the short- and long-term symptoms of COVID-19, their knowledge of the symptoms aligned well with reports published by the Centers for Disease Control and Prevention of the most common acute (590/610, 96.7%) and long-term (217/271, 80.1%) symptoms. Most respondents (159/224, 71%) reported an interest in using the mHealth app to gain additional information regarding COVID-19 and available community resources. Respondents who were interviewed provided suggestions to improve the mHealth app but had overall positive perceptions about the potential usefulness and usability of the app. CONCLUSIONS: It was encouraging that the knowledge of COVID-19 symptoms aligned well with the reports published by the Centers for Disease Control and Prevention and that respondents were enthusiastic about using an mHealth app to monitor symptoms. However, it was concerning that most respondents did not think they were at a risk of contracting COVID-19.

Pathogenesis of Necrotizing Enterocolitis in Preterm Infants: An Adaptation of Neuman's Systems Theory.

Preterm infants have increased morbidity and mortality due to immature physiology and neonatal complications. Necrotizing enterocolitis (NEC) is a devastating gastrointestinal complication that affects morbidity and mortality in preterm infants. The authors present an adaptation of Neuman's systems model called the NEC systems model to explore intrinsic and extrinsic factors leading to NEC in preterm infants. The literature was searched for theoretical models to guide exploration of neonatal disease influenced by the environment. Neuman's Systems Model provides a holistic approach to care of the system, offering a foundation to develop frameworks to examine preterm infants in their environment with associated stressors.

Perceptions of Endocrine Therapy in African-American Breast Cancer Survivors: Mixed Methods Study.

BACKGROUND: Although the incidence of breast cancer is lower in African-American women than in White women, African-American women have a decreased survival rate. The difference in survival rate may stem from poor endocrine therapy adherence, which increases breast cancer recurrence. Therefore, accessible and culturally sensitive interventions to increase endocrine therapy adherence are necessary. OBJECTIVE: The purpose of this concurrent convergent mixed methods study was to provide further data to guide the development of the proposed culturally sensitive mHealth app, STORY+ for African-American women with breast cancer. METHODS: We recruited 20 African-American women diagnosed with estrogen-positive breast cancer and currently prescribed endocrine therapy. We used a concurrent convergent data collection method to (1) assess the use of smartphones and computers related to health care and (2) identify foundational aspects to support endocrine therapy adherence for incorporation in a mobile health app. RESULTS: Overwhelmingly, the participants preferred using smartphones to using computers for health care. Communicating with health care providers and pharmacies was the most frequent health care use of smartphones, followed by exercise tracking, and accessing the patient portal. We identified 4 aspects of adherence to endocrine therapy and smartphone use for incorporation in app development. The factors that emerged from the integrated qualitative and quantitative data were (1) willingness to use, (2) side effects, (3) social connection, and (4) beliefs about endocrine therapy. CONCLUSIONS: Further research is needed to develop a culturally sensitive app for African-American women with breast cancer to improve adherence to endocrine therapy. Our work strongly suggests that this population would use the app to connect with other African-American breast cancer survivors and manage endocrine therapy.

Pattern of antibiotic use for acute respiratory infections among out-patients in South Asian Region: Protocol for a systematic review.

BACKGROUND: South Asian region has been experiencing the increasing burden of antimicrobial resistance (AMR) primarily due to over and irrational prescribing of antibiotics. Acute respiratory infections (ARIs) are the leading cause of out-patients' visits in the region. Despite commonly known viral aetiology, ARI is the single largest reason for antibiotic prescriptions contributing the exponential growth of AMR in the region. Collated data on antibiotic consumption for ARI at outpatients and resistance pattern of respiratory pathogen are lacking in the region. METHODS: MEDLINE, Cochrane, CINAHL Plus (EBSCO), and Web of Science will be searched for eligible papers. Titles and abstracts, and full texts of the relevant studies will be screened by 2 independent reviewers against the inclusion criteria. Data extraction and quality of the studies will be assessed by 2 reviewers independently using the JBI Critical Appraisal Tools. A third reviewer will resolve any disagreement at any point between 2 reviewers. RESULTS: The review will assess proportions of ARI patients receiving antibiotic therapy and types of antibiotics prescribed among outpatients of all ages in South Asia. This review will also assess the pattern of antimicrobial resistance among respiratory pathogens causing ARI in the region. CONCLUSIONS: This systematic review will evaluate published literature, summarize the existing data on the antibiotic prescribing patterns for outpatients with ARI in South Asia. The holistic finding of the proportion of patients receiving antibiotic therapy for ARI, proportion of different types of antibiotic received, and resistance against respiratory pathogen might guide future research. This underscores a need for formulating regional and national policy for AMR mitigation strategy, and revising clinical practice guidelines for the clinician to ensure rational use of antibiotics for ARI. PROSPERO: registration no: CRD42018116658.

Improved readability and functions needed for mHealth apps targeting patients with heart failure: An app store review.

To maintain their quality of life and avoid hospitalization and early mortality, patients with heart failure must recognize and respond to symptoms of exacerbation. A promising method for engaging patients in their self-care is through mobile health applications (mHealth apps). However, for mHealth to have its greatest chance for improving patient outcomes, the app content must be readable, provide useful functions and be based in evidence. The study aimed to determine: (1) readability, (2) types of functions, and (3) linkage to authoritative sources of evidence for self-care focused mHealth apps targeting heart failure patients that are available in the Apple and Google Play Stores. We systematically searched for mHealth apps targeting patients with heart failure in the Apple and Google Play Stores and applied selection criteria. Readability of randomly selected informational paragraphs were determined using Flesch-Kincaid grade level test tool in Microsoft Word. Ten mHealth apps met our criteria. Only one had a reading grade level at or below the recommended 6th grade reading level (average 9.35). The most common functions were tracking, clinical data feedback, and non-data-based reminders and alerts. Only three had statements that clearly linked the mHealth app content to trustworthy, evidence-based sources. Only two had interoperability with the electronic health record and only one had a communication feature with clinicians. Future mHealth designs that are tailored to patients' literacy level and have advanced functions may hold greater potential for improving patient outcomes.

Pivoting Nursing Research and Scholarship During the COVID-19 Pandemic.

BACKGROUND: The global COVID-19 pandemic has brought numerous challenges for conducting the human subjects research needed to advance science and improve health. OBJECTIVES: The purpose of this article is to discuss how a college of nursing at a large public university in the southeast United States has responded to the challenges of conducting research during the novel COVID-19 pandemic. METHODS: Seven faculty researchers at the University of South Carolina College of Nursing share their experiences in overcoming the unique challenges of conducting research because of the COVID-19 pandemic. Strategies to overcome the challenges posed by COVID-19 are presented within the context of the research process, career implications, communication, and maintaining morale. RESULTS: Fears of COVID-19 and social distancing measures have hindered participant recruitment, enrollment, and involvement in ongoing studies. Increasing virtual technology use and enhancing safety precautions have assisted researchers to overcome barriers. Scholarly writing has increased for some faculty members whose studies have been stalled by the pandemic, yet others have seen a decline because of additional personal responsibilities. The careers of faculty members across all ranks have been uniquely affected by the pandemic. With most faculty working remotely, enhanced communication strategies at the university and college have supported the research enterprise. Morale has been adversely affected, but a variety of personal and collegial efforts have helped faculty cope and preserve a sense of normalcy during this devastating pandemic. DISCUSSION: Faculty and their ability to conduct the research needed to inform clinical and public health practice have been adversely affected by the COVID-19 pandemic. Despite the challenges of conducting research during this unprecedented crisis, faculty and institutions are taking novel steps to ensure the continuity of scientific progress for improving the health and well-being of patients and populations.

A Smartphone App for Self-Management of Heart Failure in Older African Americans: Feasibility and Usability Study.

BACKGROUND: Mobile health (mHealth) apps are dramatically changing how patients and providers manage and monitor chronic health conditions, especially in the area of self-monitoring. African Americans have higher mortality rates from heart failure than other racial groups in the United States. Therefore, self-management of heart failure may improve health outcomes for African American patients. OBJECTIVE: The aim of the present study was to determine the feasibility of using an mHealth app, and explore the outcomes of quality of life, including self-care maintenance, management, and confidence, among African American patients managing their condition after discharge with a diagnosis of heart failure. METHODS: Prior to development of the app, we conducted qualitative interviews with 7 African American patients diagnosed with heart failure, 3 African American patients diagnosed with cardiovascular disease, and 6 health care providers (cardiologists, nurse practitioners, and a geriatrician) who worked with heart failure patients. In addition, we asked 6 hospital chaplains to provide positive spiritual messages for the patients, since spirituality is an important coping method for many African Americans. These formative data were then used for creating a prototype of the app, named Healthy Heart. Specifically, the Healthy Heart app incorporated the following evidence-based features to promote self-management: one-way messages, journaling (ie, weight and symptoms), graphical display of data, and customized feedback (ie, clinical decision support) based on daily or weekly weight. The educational messages about heart failure self-management were derived from the teaching materials provided to the patients diagnosed with heart failure, and included information on diet, sleep, stress, and medication adherence. The information was condensed and simplified to be appropriate for text messages and to meet health literacy standards. Other messages were derived from interviews conducted during the formative stage of app development, including interviews with African American chaplains. Usability testing was conducted over a series of meetings between nurses, social workers, and computer engineers. A pilot one-group pretest-posttest design was employed with participants using the mHealth app for 4 weeks. Descriptive statistics were computed for each of the demographic variables, overall and subscales for Health Related Quality of Life Scale 14 (HQOL14) and subscales for the Self-Care of Heart Failure Index (SCHFI) Version 6 using frequencies for categorical measures and means with standard deviations for continuous measures. Baseline and postintervention comparisons were computed using the Fisher exact test for overall health and paired t tests for HQOL14 and SCHFI questionnaire subscales. RESULTS: A total of 12 African American participants (7 men, 5 women; aged 51-69 years) diagnosed with heart failure were recruited for the study. There was no significant increase in quality of life (P=.15), but clinically relevant changes in self-care maintenance, management, and confidence were observed. CONCLUSIONS: An mHealth app to assist with the self-management of heart failure is feasible in patients with low literacy, low health literacy, and limited smartphone experience. Based on the clinically relevant changes observed in this feasibility study of the Healthy Heart app, further research should explore effectiveness in this vulnerable population.

What makes a good health 'app'? Identifying the strengths and limitations of existing mobile application evaluation tools.

Research using mHealth apps has the potential to positively impact health care management and outcomes. However, choosing an appropriate mHealth app may be challenging for the health researcher. The author team used existing evaluation tools, checklists, and guidelines to assess selected mHealth apps to identify strengths, challenges, and potential gaps within existing evaluation tools. They identified specific evaluation tool components, questions, and items most effective in examining app content, usability, and features, including literacy demand and cultural appropriateness; technical information; practical aspects of app functionality; and evolving capabilities of mobile medical apps. Challenges included the subjective nature of the results, time required to complete the evaluation, lack of emphasis on evidence-based content, and inadequate tool flexibility. Health researchers considering the integration of mobile apps into research will benefit from evaluation tools that assess both evidence-based content and the ability of the mobile app to securely integrate with other digital technologies involved in patient care. Next steps will include the involvement of health care providers and professionals, including nurses a wide range of expertise, to develop an mHealth evaluation tool that focuses on identifying quality, evidence-based mobile apps into patient outcomes research.

Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.

OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available population of victims or identical exposure setting. The purpose of this article is to describe the process of designing, planning, and executing a functional exercise to accomplish the research objective of validating an informatics tool specifically designed to identify and triage victims of irritant gas syndrome agents. MATERIALS AND METHODS: During a 3-year time frame, the research team and partners developed the Emergency Department Informatics Computational Tool and planned a functional exercise to test it using medical records data from 298 patients seen in 1 emergency department following a chlorine gas exposure in 2005. RESULTS: The research team learned valuable lessons throughout the planning process that will assist future researchers with developing a functional exercise to test informatics tools. Key considerations for a functional exercise include contributors, venue, and information technology needs (ie, hardware, software, and data collection methods). DISCUSSION: Due to the nature of mass casualty incidents, testing informatics tools and technology for these incidents is challenging. Previous studies have shown a functional exercise as a viable option to test informatics tools developed for use during mass casualty incidents. CONCLUSION: Utilizing a functional exercise to test new mass casualty management technology and informatics tools involves a painstaking and complex planning process; however, it does allow researchers to address issues inherent in studying informatics tools for mas casualty incidents.

Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature.

Objectives: Limited data are available on the correlation of mHealth features and statistically significant outcomes. We sought to identify and analyze: types and categories of features; frequency and number of features; and relationship of statistically significant outcomes by type, frequency, and number of features. Materials and Methods: This search included primary articles focused on app-based interventions in managing chronic respiratory diseases, diabetes, and hypertension. The initial search yielded 3622 studies with 70 studies meeting the inclusion criteria. We used thematic analysis to identify 9 features within the studies. Results: Employing existing terminology, we classified the 9 features as passive or interactive. Passive features included: 1) one-way communication; 2) mobile diary; 3) Bluetooth technology; and 4) reminders. Interactive features included: 1) interactive prompts; 2) upload of biometric measurements; 3) action treatment plan/personalized health goals; 4) 2-way communication; and 5) clinical decision support system. Discussion: Each feature was included in only one-third of the studies with a mean of 2.6 mHealth features per study. Studies with statistically significant outcomes used a higher combination of passive and interactive features (69%). In contrast, studies without statistically significant outcomes exclusively used a higher frequency of passive features (46%). Inclusion of behavior change features (ie, plan/goals and mobile diary) were correlated with a higher incident of statistically significant outcomes (100%, 77%). Conclusion: This exploration is the first step in identifying how types and categories of features impact outcomes. While the findings are inconclusive due to lack of homogeneity, this provides a foundation for future feature analysis.

Validation of a novel irritant gas syndrome triage algorithm.

OBJECTIVE: Our objective was to validate a novel irritant gas syndrome agent (IGSA) triage algorithm for use in an emergency department (ED). We assessed efficiency, accuracy, and precision of our IGSA triage algorithm based on signs/symptoms of actual patients. DESIGN: After characterizing the signs/symptoms of an actual IGSA exposure event, we developed and validated the IGSA triage algorithm using a simulated computer exercise to compare the IGSA triage algorithm to the preferred hospital triage algorithm, the Emergency Severity Index (ESI). SETTING: This study was a simulated computer exercise using surveys developed in Research Electronic Data Capture software. Nurse volunteers simulated triaging 298 patients. PARTICIPANTS: Patient data included 146 patients treated during the disaster as well as 152 unexposed patients. Twenty-six nurse volunteers were assigned to triage the patients using one of the algorithms in the simulated computer exercise. MAIN OUTCOME MEASURE(S): The precision of the IGSA triage algorithm was 0.82 (confidence interval [CI] 0.78-0.85) and ESI 0.73 (CI 0.69-0.77). Weighted κ for ESI and IGSA accuracy for exposed patients was 0.32 (95% CI 0.26-0.37) and 0.81 (95% CI 0.77-0.85), respectively. RESULTS: The IGSA triage algorithm was more accurate and precise than the ESI algorithm for triaging patients exposed to an irritant gas. CONCLUSIONS: This study validates the IGSA triage algorithm as the basis for the development of a prototype software application to quickly identify victims of a chemical disaster and triage patients efficiently and accurately with the potential to dramatically improve the processing of patients in EDs.

Data Capture and Analysis of Signs and Symptoms in a Chemically Exposed Population.

This manuscript provides a practical case study to demonstrate data collection from paper-based medical records so that the occurrence of specific signs/symptoms indicative of a chemical exposure can be studied.

Utilization of Mobile Applications in Collaborative Patient-Provider Monitoring of Chronic Health Conditions: An Examination of Three Theoretical Frameworks to Guide Practice.

Mobile health (mHealth) applications may improve chronic disease management through enhanced patient-provider communication and collaboration. The aim of this review was to compare and critique the application of three theoretical frameworks to guide mHealth research and practice in patient-provider interactions.

Validating Signs and Symptoms From An Actual Mass Casualty Incident to Characterize An Irritant Gas Syndrome Agent (IGSA) Exposure: A First Step in The Development of a Novel IGSA Triage Algorithm.

CONTRIBUTION TO EMERGENCY NURSING PRACTICE: • Chemical exposures daily pose a significant threat to life. Rapid assessment by first responders/emergency nurses is required to reduce death and disability. Currently, no informatics tools for Irritant Gas Syndrome Agents (IGSA) exposures exist to process victims efficiently, continuously monitor for latent signs/symptoms, or make triage recommendations. • This study uses actual patient data from a chemical incident to characterize and validate signs/symptoms of an IGSA Syndrome. Validating signs/symptoms is the first step in developing new emergency department informatics tools with the potential to revolutionize the process by which emergency nurses manage triage victims of chemical incidents. ABSTRACTINTRODUCTION: Chemical exposures can pose a significant threat to life. Rapid assessment by first responders/emergency nurses is required to reduce death and disability. Currently, no informatics tools for irritant gas syndrome agents (IGSA) exposures exist to process victims efficiently, continuously monitor for latent signs/symptoms, or make triage recommendations. This study describes the first step in developing ED informatics tools for chemical incidents: validation of signs/symptoms that characterize an IGSA syndrome. METHODS: Data abstracted from 146 patients treated for chlorine exposure in one emergency department during a 2005 train derailment and 152 patients not exposed to chlorine (a comparison group) were mapped to 93 possible signs/symptoms within 2 tools (WISER and CHEMM-IST) designed to assist emergency responders/emergency nurses with managing hazardous material exposures. Inferential statistics (χ2/Fisher's exact test) and diagnostics tests were used to examine mapped signs/symptoms of persons who were and were not exposed to chlorine. RESULTS: Three clusters of signs/symptoms are statistically associated with an IGSA syndrome (P < .01): respiratory (shortness of breath, wheezing, coughing, and choking); chest discomfort (tightness, pain, and burning), and eye, nose and/or throat (pain, irritation, and burning). The syndrome requires the presence of signs/symptoms from at least 2 of these clusters. The latency period must also be considered for exposed/potentially exposed persons. DISCUSSION: This study uses actual patient data from a chemical incident to characterize and validate signs/symptoms of an IGSA syndrome. Validating signs/symptoms is the first step in developing new ED informatics tools with the potential to revolutionize the process by which emergency nurses manage triage victims of chemical incidents.