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This article and its predecessor offer suggestions to nurses in all service settings by describing how a local public health department planned and implemented its outcomes management program. Included are the steps used to select and analyze reliable and valid quantitative outcomes data, and examples of graphs that depict and interpret those data. The outcomes management program was designed to provide needed information for program planning and evaluation, and for communication with administrators and local government officials. [ABSTRACT FROM AUTHOR]

A local public health department planned and implemented a comprehensive outcomes management program over a 5-year period. Critical components included commitment of leadership and staff, collaborative decision-making related to clinical record software selection, extensive staff training and support in documentation and automation, and ongoing evaluation. This successful program now provides reliable and valid quantitative outcomes data for the department. [ABSTRACT FROM AUTHOR]

Background:  Multitasking, defined as performing two or more interventions simultaneously, increases the cognitive burden of clinicians. This may, in turn, lead to higher risk of medication and procedural errors. Time motion study (TMS) data for nurses in nursing homes revealed an extensive amount of multitasking while managing medications. Further investigation of multitasked nursing interventions will provide a foundation for optimizing medication management workflows., Objectives:  Using a continuous observational TMS method, this study aimed to describe pairs of multitasked nursing interventions associated with medication management interventions, including preparing and administering medications, assessing medication effects, instructing on medications, and documenting medication administration., Methods:  An external nurse observer used 57 predefined Omaha System nursing interventions embedded within TimeCaT (version 3.9), TMS data recording software to collect observation data in a single nursing home. A total of 120 hours of time-stamped observation data from nine nurses were downloaded from TimeCaT and analyzed using descriptive and inferential statistics., Results:  The majority (74%) of medication management interventions were multitasked, resulting in 2,003 pairs of multitasked interventions. Of the 57 Omaha System nursing interventions, 35 were involved in these multitasking pairs. When nurses multitasked, the average duration of medication preparation was longer (non-multitasked: 81 seconds; multitasked: 162 seconds, p  < 0.05), while the average duration of medication administration record documentation was shorter (non-multitasked: 93 seconds; multitasked: 66 seconds, p  < 0.05)., Conclusion:  The findings reveal the complexity of medication management in nursing homes with numerous and diverse multitasking pairs. Findings provide a platform for in-depth study of medication management multitasking in the clinical context, and inform future efforts to create clinical and informatics solutions to optimize medication management workflow. This method may be also applied to examine medication management and multitasking in other clinical settings., Competing Interests: None declared., (Thieme. All rights reserved.)

Background: The complex work of public health nurses (PHNs) specifically related to mental health assessment, intervention, and outcomes makes it difficult to quantify and evaluate the improvement in client outcomes attributable to their interventions., Objectives: We examined heterogeneity across parents of infants served by PHNs receiving different interventions, compared the ability of traditional propensity scoring methods versus energy-balancing weight (EBW) techniques to adjust for the complex and stark differences in baseline characteristics among those receiving different interventions, and evaluated the causal effects of the quantity and variety of PHN interventions on client health and social outcomes., Methods: This retrospective study of 4,109 clients used existing Omaha System data generated during the routine documentation of PHN home visit data. We estimated the effects of intervention by computing and comparing weighted averages of the outcomes within the different treatment groups using two weighting methods: (a) inverse probability of treatment (propensity score) weighting and (b) EBWs., Results: Clients served by PHNs differed in baseline characteristics with clients with more signs/symptoms. Both weighting methods reduced heterogeneity in the sample. EBWs were more effective than inverse probability of treatment weighting in adjusting for multifaceted confounding and resulted in close balance of 105 baseline characteristics. Weighting the sample changed outcome patterns, especially when using EBWs. Clients who received more PHN interventions and a wider variety of them had improved knowledge, behavior, and status outcomes with no plateau over time, whereas the unweighted sample showed plateaus in outcomes over the course of home-visiting services., Discussion: Causal analysis of PHN-generated data demonstrated PHN intervention effectiveness for clients with mental health signs/symptoms. EBWs are a promising tool for evaluating the true causal effect of PHN home-visiting interventions., Competing Interests: The authors have no conflicts of interest to report., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

This poster presentation describes innovative use of the Omaha System, a standardized terminology, into public health nurses' (PHNs) workflow and electronic records within a local health department's Childhood Lead Poisoning Prevention Program. The Omaha System facilitated the tracking of evidence-based interventions and client outcomes, showing a significant improvement in record completeness (from 33% pre-implementation to 84% post-implementation) and client outcomes in health care supervision, growth and development, and nutrition. Outcome data analysis revealed improvement across all post-implementation records from initial assessments to interim assessments for Health care supervision (p<.001), Growth and development (p<.001), and Nutrition (p = .025). This achievement has given program leaders and employees the ability to clearly present their services and results to policymakers, facilitating better assessment of the program's effectiveness. The successful implementation illustrates its potential applicability to other public health projects and areas.

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. The convenience sample was mainly female (96.5%), White (85%), had associate/bachelor's degrees (71.7%), and worked in governmental public health settings (70.7%)., Measure: The study employed the Short Critical Consciousness Scales' subscales: Critical Reflection, Critical Motivation, and Critical Action., Results: PHNs were highly motivated to address inequities (Critical Motivation = 20.83; SD = 3.16), with similarly high awareness (Critical Reflection = 17.89; SD = 5.18). However, social and political action scores were much lower (Critical Action = 7.13; SD = 2.63). A subgroup of PHNs with strong agreement regarding the impact of poverty were more likely to be younger (p = .039) and work in a community setting (p = .003); with higher scores across subscales (p < .001)., Conclusions: High critical reflection and motivation among PHNs aligned with literature. Lower Critical Action scores warrant investigation into validity for PHNs, and possible role constraints., (© 2023 The Authors. Public Health Nursing published by Wiley Periodicals LLC.)

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). The data-driven SBDH index used multiple linear regression with backward elimination to identify SBDH factors. Changes in Knowledge, Behavior, and Status (KBS) outcomes, numbers of interventions, and adjusted R-squared statistics were computed for both models., Results: There were 4109 clients ages 13-40 years. Outcome patterns aligned with the original research: KBS increased from admission to discharge with Knowledge improving the most; discharge KBS decreased as SBDH increased; and interventions increased as SBDH increased. Slopes of the data-driven model were steeper, showing clearer KBS trends for data-driven SBDH groups. The theory-based model adjusted R-squared was 0.54 (SE = 0.38) versus 0.61 (SE = 0.35) for the data-driven model with an entirely different set of SBDH factors., Conclusions: The theory-based approach provided a framework to identity patterns and relationships and may be applied consistently across studies and populations. In contrast, the data-driven approach can provide insights based on novel patterns for a given dataset and reveal insights and relationships not predicted by existing theories. Data-driven methods may be an advantage if there is sufficiently comprehensive SBDH data upon which to create the data-driven models., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Improved health among older women remains elusive and may be linked to limited knowledge of and interventions targeted to population subgroups. Use of structured community nurse home visit data exploring relationships between client outcomes, phenotypes, and targeted intervention approaches may reveal new understandings of practice effectiveness., Materials and Methods: Omaha System data of 2363 women 65 years and older with circulation problems receiving at least 2 community nurse home visits were accessed. Previously identified phenotypes (Poor circulation; Irregular heart rate; and Limited symptoms), 7 intervention approaches (High-Surveillance; High-Teaching/Guidance/Counseling; Balanced-All; Balanced-Surveillance-Teaching/Guidance/Counseling; Low-Teaching/Guidance/Counseling-Balanced Other; Low-Surveillance-Mostly-Teaching/Guidance/Couseling-TreatmentProcedure-CaseManagement; and Mostly-TreatementProcedure+CaseManagement), and client knowledge, behavior, and status outcomes were used. Client-linked intervention approach counts, proportional use per phenotypes, and associations with client outcome scores were descriptively analyzed. Associations between intervention approach proportional use by phenotype and outcome scores were analyzed using parallel coordinate graph methodology for intervention approach effectiveness., Results: Percent use of intervention approach differed significantly by phenotype. The 2 most widely employed intervention approaches were characterized by either a high use of surveillance interventions or a balanced use of all intervention categories (surveillance, teaching/guidance/counseling, treatment-procedure, case-management). Mean outcome discharge and change scores significantly differed by intervention approach. Proportionally deployed intervention approach patterns by phenotype were associated with outcome small effects improvement., Discussions and Conclusions: The Omaha System taxonomy supported the management and exploration of large multidimensional community nursing data of older women with circulation problems. This study offers a new way to examine intervention effectiveness using phenotype- and targeted intervention approach-informed structured data., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Health Level 7®'s (HL7) Fast Healthcare Interoperability Resources® (FHIR®) is leading new efforts to make data available to healthcare clinicians, administrators, and leaders. Standardized nursing terminologies were developed to enable nursing's voice and perspective to be visible within the healthcare data ecosystem. The use of these SNTs has been shown to improve care quality and outcomes, and to provide data for knowledge discovery. The role of SNTs in describing assessments and interventions and measuring outcomes is unique in health care, and synergistic with the purpose and goals of FHIR. FHIR acknowledges nursing as a discipline of interest and yet the use of SNTs within the FHIR ecosystem is rare. The purpose of this article is to describe FHIR, SNTs, and the potential for synergy in the use of SNTs with FHIR. Toward improving understanding how FHIR works to transport and store knowledge and how SNTs work to convey meaning, we provide a framework and examples of SNTs and their coding for use within FHIR solutions. Finally, we offer recommendations for the next steps to advance FHIR-SNT collaboration. Such collaboration will advance both nursing specifically and health care in general, and most importantly, improve population health., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: To honor the legacy of nursing informatics pioneer and visionary, Dr. Virginia Saba, the Friends of the National Library of Medicine convened a group of international experts to reflect on Dr. Saba's contributions to nursing standardized nursing terminologies., Process: Experts led a day-and-a-half virtual update on nursing's sustained and rigorous efforts to develop and use valid, reliable, and computable standardized nursing terminologies over the past 5 decades. Over the course of the workshop, policymakers, industry leaders, and scholars discussed the successful use of standardized nursing terminologies, the potential for expanded use of these vetted tools to advance healthcare, and future needs and opportunities. In this article, we elaborate on this vision and key recommendations for continued and expanded adoption and use of standardized nursing terminologies across settings and systems with the goal of generating new knowledge that improves health., Conclusion: Much of the promise that the original creators of standardized nursing terminologies envisioned has been achieved. Secondary analysis of clinical data using these terminologies has repeatedly demonstrated the value of nursing and nursing's data. With increased and widespread adoption, these achievements can be replicated across settings and systems., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Meaningful data to determine safe and efficient nursing workload are needed. Reasoning a nurse can accomplish a finite number of interventions and location changes per hour, examination of time pressure using time motion study (TMS) methods will provide a comparable indication of safe and efficient workload for an individual nurse., Methods: An observer shadowed 11 nurses at a 250-bed nursing home in the Southeastern United States and recorded 160 h of observations using TimeCaT, web-based TMS data recording software. Predefined Omaha System nursing interventions (N = 57) and locations (N = 8) were embedded within TimeCaT. The time-stamped data were downloaded from TimeCaT and analyzed using descriptive and inferential statistics. Five time pressure metrics were derived from previous TMS findings in acute care settings., Results: Overall, nurses spent 66 s for each intervention, performed 65 interventions per hour, stayed 130 s at each location, changed locations 28 times per hour, and multitasked for 29% of working time. Computed hourly time pressure metrics enabled visualization of variability in time pressure metrics over time, with differences in multitasking by licensure, unit/role, and observation session time., Conclusions: Nursing home nurses consistently experienced a high degree of time pressure, especially multitasking for one-third of their working time. To inform staffing decision making and improve the quality of care, resident outcomes, and nurse satisfaction, it is critical to identify ways to mitigate time pressure. Additional research is needed to refine and extend the use of the time pressure metrics., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

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. Latent class analysis (LCA) was used to identify phenotypes of nutrition symptoms or signs. Score changes in knowledge, behavior, and status were compared by phenotype., Results: The five subgroups included Unbalanced Diet, Overweight, Underweight, Hyperglycemia with Adherence, and Hyperglycemia without Adherence. Only the Unbalanced Diet and Underweight groups showed an increase in knowledge. No other changes in behavior and status were observed in any of the phenotypes., Discussion and Conclusions: This LCA using standardized Omaha System Public Health Nursing data allowed us to identify phenotypes of nutritional needs among home-visited clients with low income and prioritize nutrition areas that public health nurses may focus on as part of public health nursing interventions. The sub-optimal changes in knowledge, behavior, and status suggest a need to re-examine the intervention details by phenotype and develop strategies to tailor public health nursing interventions to effectively meet the diverse nutritional needs of home-visited clients., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

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. In this study, we compared one standardized nursing terminology, the Omaha System, in its consumer-facing form, Simplified Omaha System Terms (SOST), to social needs screening tools identified by the Social Interventions Research and Evaluation Network (SIREN)., Materials and Methods: Using standard mapping techniques, we mapped 286 items from 15 SDOH screening tools to 335 SOST challenges. The SOST assessment includes 42 concepts across 4 domains. We analyzed the mapping using descriptive statistics and data visualization techniques., Results: Of the 286 social needs screening tools items, 282 (98.7%) mapped 429 times to 102 (30.7%) of the 335 SOST challenges from 26 concepts in all domains, most frequently from Income, Home, and Abuse. No single SIREN tool assessed all SDOH items. The 4 items not mapped were related to financial abuse and perceived quality of life., Discussion: SOST taxonomically and comprehensively collects SDOH data compared to SIREN tools. This demonstrates the importance of implementing standardized terminologies to reduce ambiguity and ensure the shared meaning of data., Conclusions: SOST could be used in clinical informatics solutions for interoperability and health information exchange, including SDOH. Further research is needed to examine consumer perspectives regarding SOST assessment compared to other social needs screening tools., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: Bone marrow suppression is the most common side effect of chemotherapy that may lead to discontinuation for treatment pertaining to patients during the therapy course. Acupuncture may relieve bone marrow suppression with regulation hematopoietic function during chemotherapy. The purpose of this study is to evaluate the effectiveness of acupuncture in relieving chemotherapy-induced bone marrow suppression and determine the effects of acupuncture on bone marrow function. Design: PubMed, Embase, Cochrane Library, Medline OVID, CINAHL Plus, Web of Science, and Chinese articles in the Airiti Library and China National Knowledge Infrastructure databases were searched up to February 2023. Publications in both English and Chinese were eligible for inclusion without any limitations on the publication date. Only randomized controlled trials investigating the impact of acupuncture on chemotherapy-induced bone marrow suppression were considered. In addition, a trial sequential analysis was performed to assess the adequacy of the current sample size. Results: A total of 25 studies met the inclusion criteria. Acupuncture was found to increase the levels of hematopoietic cytokine granulocyte colony-stimulating factor (G-CSF) (Hedges' g  = 0.79, p  < 0.001), as well as stimulate the production of white blood cells (Hedges' g  = 0.69, p  < 0.001), red blood cells (Hedges' g  = 0.37, p  = 0.01), neutrophils (Hedges' g  = 0.66, p  < 0.001), absolute neutrophil count (Hedges' g  = 0.89, p  = 0.01), hemoglobin (Hb) (Hedges' g  = 0.37, p  = 0.02), platelets (Hedges' g  = 0.50, p  < 0.001), and natural killer (NK) cells (Hedges' g  = 1.30, p  = 0.02). Further, the levels of platelets and NK cells were observed to increase cumulatively over time. Conclusions: Acupuncture may improve chemotherapy-induced bone marrow suppression due to increasing levels of the hematopoietic cytokine, G-CSF and further relieving chemotherapy-induced bone marrow suppression. PROSPERO Registration: This review was registered with PROSPERO (International Prospective Register of Systematic Reviews: CRD42020185813).

Background: Indigenous nurses are underrepresented in the nursing workforce. Important strategies have been developed to increase the diversity of the future nursing workforce; however, unique cultural needs of Indigenous students must be addressed to provide holistic support while maintaining and strengthening cultural identity., Method: The Niganawenimaanaanig (We Take Care of Them) Indigenous Nursing Education Model was developed based on the Medicine Wheel and previous diverse nursing education models. This model supports the cultural, social, academic, and financial needs of Indigenous nursing students throughout recruitment, enrollment, retention, graduation, and licensure and specifies eight essential resources necessary for success., Results: Lessons learned from implementing the Niganawenimaanaanig Model are shared., Conclusion: The Niganawenimaanaanig Model may be employed in nursing schools to guide educators and universities in promoting the success of Indigenous nursing students. [ J Nurs Educ . 2023;62(9):523-527.] .

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 (96.2%), white (86.4%), between the ages 25-44 (54.5%) and 45-64 (40.2%), had bachelor's degrees (65.9%) and incomes of $50-75,000 (30.3%) and $75-100,000/year (29.5%)., Measurements: Simplified Omaha System Terms (SOST) within the MyStrengths+MyHealth assessment of whole-person health (strengths, challenges, and needs) across Environmental, Psychosocial, Physiological, and Health-related Behaviors domains., Results: PHNs had more strengths than challenges; and more challenges than needs. Four patterns were discovered: (1) inverse relationship between strengths and challenges/needs; (2) Many strengths; (3) High needs in Income; (4) Fewest strengths in Sleeping, Emotions, Nutrition, and Exercise. PHNs with Income as a strength (n = 79) had more strengths (t = 5.570, p < .001); fewer challenges (t = -5.270, p < .001) and needs (t = -3.659, p < .001) compared to others (n = 53)., Conclusions: PHNs had many strengths compared to previous research with other samples, despite concerning patterns of challenges and needs. Most PHN whole-person health patterns aligned with previous literature. Further research is needed to validate and extend these findings toward improving PHN health., (© 2023 The Authors. Public Health Nursing published by Wiley Periodicals LLC.)

Nurses' attitudes toward information security can influence the hospital's information resources management and development. This study investigated the relationships between nurses' information security policy compliance, information competence, and information security attitudes, which are factors that influence information security behavior. Data were collected during September 2020. The participants were 200 clinical nurses from a general hospital in Korea. The self-reported questionnaire included questions on nurses' general characteristics, information security policy compliance, information competence, and information security attitudes. Information security policy compliance ( r = 0.554, P < .001) and information competence ( r = 0.614, P < .001) were positively associated with information security attitudes. Predictors of nurses' information security attitudes were information competence ( β = .439), information security policy compliance ( β = .343), prior information security-related education ( β = .113), and job position (nurse manager; β = .101). Implications for practice include the need for strategies to develop information security policy compliance and information competence to improve information security behavior, including different approaches tailored to nurses' job positions and previous information security education., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: In this study we aimed to describe and compare groups formed by a rules-based algorithm to prospectively identify clients at risk of poor outcomes in order to guide tailored public health nursing (PHN) intervention approaches., Design: Data-driven methods using standardized Omaha System PHN documentation., Sample: Clients ages 13-40 who received PHN home visiting services for both the Caretaking/parenting and Mental health problems (N = 4109)., Measurement: We applied a theory-based algorithm consisting of six rules using existing Omaha System data. We examined the groups formed by the algorithm using standard descriptive, inferential statistics, and Latent Class Analysis., Results: Clients (N = 4109) were 25.1 (SD = 5.9) years old and had an average of 7.3 (SD = 3.2) problems, 250 (SD = 319) total interventions, and 32 (SD = 44) Mental health interventions. Overall outcomes improved after PHN interventions (p < .001 for all) and having more Mental health signs/symptoms was negatively associated with outcome scores (p < .001 for all)., Conclusions: This algorithm may be helpful in identifying high-risk clients during a baseline assessment who may benefit from more intensive mental health interventions. Findings show there is value using the Omaha System for PHN documentation and algorithm clinical decision support development. Future research should focus on algorithm implementation in PHN clinical practice., (© 2023 The Authors. Public Health Nursing published by Wiley Periodicals LLC.)

Objectives: Generate national estimates of the public health nursing workforce's (1) demographic and work characteristics and (2) continuing education learning needs in the United States., Design: Secondary data analysis of the 2018 National Sample Survey of Registered Nurses., Sample: Total 7352 of the 50,273 survey respondents were categorized as public health nurses (PHNs), representing an estimated 467,271 national workforce., Measurements: Survey items for demographics, practice setting, training topics, and language(s) spoken fluently were analyzed., Results: Workforce demographic characteristics are included. Mental health training was the most frequently endorsed topic by PHNs, followed by patient-centered care and evidence-based care. Training topic needs vary by practice setting., Conclusions: Results here can be used as a needs assessment for national public health nursing professional development and education initiatives. Further research is needed to refine and survey a nationally representative sample in a manner meaningful to public health nursing practice., (© 2023 Wiley Periodicals LLC.)

Background: Clinical judgment is a critical nursing competency. Unfolding case study is a pedagogy used to develop clinical judgment. The Omaha System is an accepted taxonomy for standardizing nursing documentation., Method: An unfolding case study was developed from a simulation scenario by encoding 33 nursing interventions with the Omaha System, then developed multiple true-false response items which were sent electronically in survey format to prelicensure baccalaureate nursing students. Differences between identified essential and distractor interventions were evaluated., Results: Participants ( n = 101) identified correct interventions ( M = 74.6%, standard deviation [SD] = 12%). A paired t-test indicated the percentage of correctly identified essential interventions ( M = 78%, SD = 18.7%) was significantly higher than distractor interventions ( M = 67%, SD = 18%)., Discussion: Nursing students can identify appropriate interventions using the Omaha System, demonstrating potential to extend highly effective and low-cost learning experiences using unfolding case study and multiple true-false response items. [ J Nurs Educ . 2023;62(4):237-239.] .

Background and Purpose: Demands on long-term services and supports for older adults are growing, although geriatric workforce shortages have persisted for decades. Methods to define and quantify practice of licensed nurses in nursing homes are needed for work optimization within limited nurse resources available in nursing homes. This study aimed to refine and validate observable nursing interventions for nursing homes, using the Omaha System. Methods: Based on the existing corpus of Omaha System interventions for acute care nursing, this multi-phase, multi-method study included a mapping procedure of interviews from licensed nurses in nursing homes, the evaluation of content validity and coding of the interventions using a survey, and inter-observer reliability assessment using TimeCaT. Results: This study validated 57 observable interventions for nursing homes. Of the previously identified acute care nursing interventions, eight interventions were deemed out of scope. One additional intervention was identified. Refined intervention definitions were related to procedures common in acute care settings such as tracheal intubations/extubations and nasogastric tube insertion that were not performed in nursing homes. Expert agreement for content validity and coding of the interventions was high (S-CVI = 0.97), and inter-observer reliability levels (Cohen's κ value >0.4; proportion agreement >60%) were acceptable for all case studies. Implications for Practice: The validated observable Omaha System nursing interventions for nursing home practice have potential for use in future studies of nursing home practice to understand evidence-based practice, and gaps in care provided. The methodology may be extended to define observable interventions for other roles and settings., (© Copyright 2022 Springer Publishing Company, LLC.)

Aim: The purpose of this retrospective, correlational pilot study was to explore the relationship between historical weekly weather data including temperature, dew point, humidity, barometric pressure, visibility, and cloud cover compared to weekly influenza-like illness reports over a four year period., Background: Climate and weather-related conditions may affect the viral activity and transmission of influenza, although this relationship has not been widely studied in nursing. Some research suggests that there are causal links between cold temperatures, low indoor humidity, minimal sun exposure, and influenza outbreaks. Additionally, rapid weather variability in a warming climate can increase influenza epidemic risk., Methods: Data from a local public health district were extracted and used to correlate with weekly weather averages for the area., Results: Findings showed that current influenza reports are significantly associated with temperature and visibility, both lagged two weeks., Conclusions: Though more research is needed, nurses must understand, recognize, and act upon weather and climate factors that affect the health of populations. With a greater understanding of the relationship between weather and influenza-like illness, nurses and other healthcare providers can potentially work to respond to and mitigate the consequences of weather-related illness as well as anticipate and prepare for increased flu burden. Furthermore, nurses can remain engaged in climate protective initiatives and policy development at their local community and/or organizational levels to underscore and advocate for the needs of populations and groups they serve., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021. Published by Elsevier Inc.)

The purpose of this study was to examine nurse coach scope of practice in relation to existing evidence-based guideline interventions using the Omaha System. The majority of interventions were within scope for nurse coach practice, and problem, category, and target terms showed differential nurse coach practice applicability across interventions. The Omaha System terminology was aligned with nurse coach practice in that both represent and employ comprehensive and holistic perspectives. This study provides a platform for multiple initiatives in nurse coach quality and documentation and provides a methodology for examining the Omaha System guidelines and interventions for other interprofessional roles.

Data visualization techniques are useful for examining large multidimensional data sets. In this exploratory data analysis (EDA) study, we applied a visualization pattern detection and testing process to deidentified data to discover patterns in whole-person health for adults 65 and older. Whole-person health examines a person's environmental, psychosocial, and physical health, as well as their health-related behaviors; and assesses their strengths, challenges, and needs. Strengths are defined as assets and capabilities in the face of short-or long-term stressors. We collected data using a mobile application that delivers a comprehensive whole-person assessment using a simplified version of a standardized instrument, the Omaha System. The visualization pattern detection process is iterative, includes various techniques, and requires visualization literacy. The data visualization techniques applied in this analysis included bubble charts, parallel coordinates line graphs, box plots, and alluvial flow diagrams. We discovered six patterns within the visualizations. We formulated and tested six hypotheses based on these six patterns, and all six hypotheses were supported. Adults 65 and older had more strengths than challenges and more challenges than needs (p < 0.001). Strengths and challenges were negatively correlated (p < 0.001). Unexpectedly, a subset of adults 65 and older who had many, but not all, strengths had significantly more needs (p = 0.04). The use of standardized terminology with its inherent data interrelationships was key to discovering patterns in whole-person health. This methodology may be used in future EDA research using new data sets., (© 2022 Wiley Periodicals LLC.)

International organizations have called for the development of programs to strengthen global health resilience. This poster describes the development of an international research collaborative to examine whole-person health and resilience using the web-based application MyStrengths+MyHealth (MSMH). MSMH enables individuals to self-report strengths (resilience), challenges, and needs using simplified terms that have been community validated and at the fourth grade US reading level.

Objectives. To examine public health nurse (PHN) intervention tailoring through the Colorado Nurse Support Program (NSP). Our 2 specific aims were to describe the NSP program and its outcomes and to determine the effects of modifying interventions on short- and long-term outcomes among NSP clients. Methods. In our retrospective causal investigation of 150 families in Colorado in 2018-2019, intervention effects were modeled via longitudinal modified treatment policy analyses. Results. Families served by PHNs improved in terms of knowledge, behavior, and status outcomes after receiving multidimensional, tailored home visiting interventions. Case management interventions provided in the first month of PHN home visits had lasting effects on behavior outcomes, and 2 additional case management interventions in the first month were estimated to have even more of an impact. Conclusions. Modern causal inference methods and real-world PHN data revealed a nuanced, fine-grained understanding of the real impact of tailored PHN interventions. Public Health Implications PHN programs such as the NSP and use of the Omaha System should be supported and extended to advance evaluations of intervention effectiveness and knowledge discovery and improve population health. ( Am J Public Health . 2022;112(S3):S306-S313. https://doi.org/10.2105/AJPH.2022.306792).

Nursing home experts and informatics nurses collaborated to develop guidelines for nursing homes that revealed partnership principles in action during the COVID-19 pandemic. This article describes efforts to define interprofessional nursing home staff roles within the partnership-based COVID-19 Response Guideline, and to examine changes in nursing practice compared to the pre-pandemic practice of nurses. The qualitative process of identification of nursing home staff roles revealed the extensive scope of interprofessional partnership needed to respond to the pandemic. Using the Omaha System structure, we compared these collective COVID-19 response interventions of Nursing Service roles with nursing interventions of RNs and LPN/LVNs defined in previous nursing home studies. This comparison showed the necessary transformation and collaboration among nurses needed for the pandemic response in nursing homes. The Omaha System Pandemic Guideline is available online and in the Omaha System Guidelines app for immediate use as COVID-19 response practice guidelines and references for interprofessional roles in nursing homes, as well as for multidisciplinary roles across diverse care settings. The guideline is an exemplar of how informatics can facilitate interprofessional and multidisciplinary partnership for nursing homes and other care settings. Future use of the guidelines for decision making and documentation related to infection prevention and control in nursing homes may improve care quality and health outcomes of residents and population.

Background: The COVID-19 pandemic has prompted an interest in whole-person health and emotional well-being. Informatics solutions through user-friendly tools such as mobile health apps offer immense value. Prior research developed a consumer-facing app MyStrengths + MyHealth using Simplified Omaha System Terms (SOST) to assess whole-person health. The MyStrengths + MyHealth app assesses strengths, challenges, and needs (SCN) for 42 concepts across four domains (My Living, My Mind and Networks, My Body, My Self-care; eg, Income, Emotions, Pain, and Nutrition, respectively). Given that emotional well-being was a predominant concern during the COVID-19 pandemic, we sought to understand whole-person health for participants with/without Emotions challenges., Objective: This study aims to use visualization techniques and data from attendees at a Midwest state fair to examine SCN overall and by groups with/without Emotions challenges, and to explore the resilience of participants., Methods: This cross-sectional and descriptive correlational study surveyed adult attendees at a 2021 Midwest state fair. Data were visualized using Excel and analyzed using descriptive and inferential statistics using SPSS., Results: The study participants (N=182) were primarily female (n=123, 67.6%), aged ≥45 years (n=112, 61.5%), White (n=154, 84.6%), and non-Hispanic (n=177, 97.3%). Compared to those without Emotions challenges, those with Emotions challenges were aged 18-44 (P<.001) years, more often female (P=.02), and not married (P=.01). Overall, participants had more strengths (mean 28.6, SD 10.5) than challenges (mean 12, SD 7.5) and needs (mean 4.2, SD 7.5). The most frequent needs were in Emotions, Nutrition, Income, Sleeping, and Exercising. Compared to those without Emotions challenges, those with Emotions challenges had fewer strengths (P<.001), more challenges (P<.001), and more needs (P<.001), along with fewer strengths for Emotions (P<.001) and for the cluster of health-related behaviors domain concepts, Sleeping (P=.002), Nutrition (P<.001), and Exercising (P<.001). Resilience was operationalized as correlations among strengths for SOST concepts and visualized for participants with/without an Emotions challenge. Those without Emotions challenges had more positive strengths correlations across multiple concepts/domains., Conclusions: This survey study explored a large community-generated data set to understand whole-person health and showed between-group differences in SCN and resilience for participants with/without Emotions challenges. It contributes to the literature regarding an app-aided and data-driven approach to whole-person health and resilience. This research demonstrates the power of health informatics and provides researchers with a data-driven methodology for additional studies to build evidence on whole-person health and resilience., (©Sripriya Rajamani, Robin Austin, Elena Geiger-Simpson, Ratchada Jantraporn, Suhyun Park, Karen A Monsen. Originally published in JMIR Nursing (https://nursing.jmir.org), 16.05.2022.)

Existing frailty and social and behavioral determinants of health (SBDH) algorithms were refined and used to examine SBDH and frailty groups, revealing patterns in interventions and outcomes of older adults in a large community-based care data-set. The dataset was randomly split into training ( n = 2,881) and testing ( n = 1,441) sets. The training set was used to visually identify patterns in associations among SBDH, frailty, intervention doses, and outcomes, and the testing set was used to validate the patterns. Seven valid patterns were identified, showing increases in SBDH and frailty were associated with poorer health outcomes and more interventions (all p < 0.01). Findings suggest that the refined SBDH and frailty algorithms facilitate the identification of older adults with SBDH and frailty for intervention tailoring. [ Journal of Gerontological Nursing, 48 (4), 41-48.].

Background: Gout arthritis is an autoinflammatory arthritis that generates chronic long-term pain. Pain impacts physical activities, joint mobility, stress, anxiety, depression, and quality of life. Cold-water immersion therapy reduces inflammation and pain associated with gout arthritis. However, cold-water immersion therapy has not been conducted among people worldwide with gout arthritis. Objective: To investigate the cold-water immersion intervention on pain, joint mobility, physical activity, stress, anxiety, depression, and quality of life among acute gout patients. Methods: A community-based randomized control trial design with two parallel-intervention groups: a cold-water immersion group (20-30°C 20 minutes/day for 4 weeks) and a control group. In total, 76 eligible participants in Tomohon City, Indonesia, were recruited using a multi-stage sampling method and were randomly assigned using block randomization. A generalized estimating equation model was used to analyze the results (coef. β) and produce 95% confidence intervals (CIs). A path analysis was used to analyze mediating effects. Results: Significant pain alleviation ( β = -2.06; -2.42), improved joint mobility ( β = 1.20, 1.44), physical activity ( β = 2.05, .59), stress ( β = -1.25; -1.35), anxiety ( β = -.62; -1.37), and quality of life ( β = 5.34; 9.93) were detected after cold-water immersion at the second-week, and were maintained to the fourth-week time point, compared to pre-intervention and the control group. Depression ( β = -1.80) had decreased by the fourth week compared to the pre-test and control group. Cold-water immersion directly mediated alleviation of pain ( β = -.46, p ≤ .001) and to promote the quality of life ( β = .16, p = .01). Conclusions: Cold-water immersion decreased pain, stress, anxiety, and depression, and increased joint mobility, physical activity, and quality of life. It mediated alleviation of pain to increase the quality of life.

As a new era of healthcare advocates a more valuable and intelligent approach to care management and delivery based on values and outcomes, shifts toward risk management to boost performance should be considered that encompass the capitalization of health assets or health strengths. To make full use of individuals' or populations' health assets, data capture and representation are needed. This paper uses a strengths-oriented case study mapped to an inter-disciplinary standardized terminology, the Omaha System, to illustrate and compare the conventional problem-based approach to care management with the strengths-oriented approach to care that demonstrates whole-person data capture of an individual's health and health assets leveraged to promote health values and performance. The Omaha system provides a standardized framework to organize the concepts of all of health from a whole-person perspective for documentation to enable data analysis, interoperability, and health information exchange.

Purpose: The purpose of this data visualization study was to identify patterns in patient-generated health data (PGHD) of women with and without Circulation signs or symptoms. Specific aims were to (a) visualize and interpret relationships among strengths, challenges, and needs of women with and without Circulation signs or symptoms; (b) generate hypotheses based on these patterns; and (c) test hypotheses generated in Aim 2., Design: The design of this visualization study was retrospective, observational, case controlled, and exploratory., Methods: We used existing de-identified PGHD from a mobile health application, MyStrengths+MyHealth (N = 383). From the data, women identified with Circulation signs or symptoms (n = 80) were matched to an equal number of women without Circulation signs or symptoms. Data were analyzed using data visualization techniques and descriptive and inferential statistics., Findings: Based on the patterns, we generated nine hypotheses, of which four were supported. Visualization and interpretation of relationships revealed that women without Circulation signs or symptoms compared to women with Circulation signs or symptoms had more strengths, challenges, and needs-specifically, strengths in connecting; challenges in emotions, vision, and health care; and needs related to info and guidance., Conclusions: This study suggests that visualization of whole-person health including strengths, challenges, and needs enabled detection and testing of new health patterns. Some findings were unexpected, and perspectives of the patient would not have been detected without PGHD, which should be valued and sought. Such data may support improved clinical interactions as well as policies for standardization of PGHD as sharable and comparable data across clinical and community settings., Clinical Relevance: Standardization of patient-generated whole-person health data enabled clinically relevant research that included the patients' perspective., (© 2021 Sigma Theta Tau International.)

The use of complementary and integrative health therapy strategies for a wide variety of health conditions is increasing and is rapidly becoming mainstream. However, little is known about how or if complementary and integrative health therapies are represented in the EHR. Standardized terminologies provide an organizing structure for health information that enable EHR representation and support shareable and comparable data; which may contribute to increased understanding of which therapies are being used for whom and for what purposes. Use of standardized terminologies is recommended for interoperable clinical data to support sharable, comparable data to enable the use of complementary and integrative health therapies and to enable research on outcomes. In this study, complementary and integrative health therapy terms were extracted from multiple sources and organized using the National Center for Complementary and Integrative Health and former National Center for Complementary and Alternative Medicine classification structures. A total of 1209 complementary and integrative health therapy terms were extracted. After removing duplicates, the final term list was generated via expert consensus. The final list included 578 terms, and these terms were mapped to Systemized Nomenclature of Medicine Clinical Terms. Of the 578, approximately half (48.1%) were found within Systemized Nomenclature of Medicine Clinical Terms. Levels of specificity of terms differed between National Center for Complementary and Integrative Health and National Center for Complementary and Alternative Medicine classification structures and Systemized Nomenclature of Medicine Clinical Terms. Future studies should focus on the terms not mapped to Systemized Nomenclature of Medicine Clinical Terms (51.9%), to formally submit terms for inclusion in Systemized Nomenclature of Medicine Clinical Terms, toward leveraging the data generated by use of these terms to determine associations among treatments and outcomes., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

During a pandemic, basic public health precautions must be taken across settings and populations. However, confinement conditions change what can be done in correctional settings. Correctional nursing (CN) care, like all nursing care, needs to be named and encoded to be recognized and used to generate data that will advance the discipline and maintain standards of care. The Omaha System is a standardized interprofessional terminology that has been used since 1992 to guide and document care. In 2019, a collaboration between the newly formed American Correctional Nurses Association and the Omaha System Community of Practice began a joint effort with other stakeholders aimed at encoding evidence-based pandemic response interventions used in CN. The resulting guidelines are included and illustrated with examples from CN practice.

Purpose: To explore resilience in the context of whole-person health and the social determinants of health at the individual and community levels using large, standardized nursing datasets., Design: A retrospective, observational, correlational study of existing deidentified Health Insurance Portability and Accountability Act (HIPAA)-compliant data using the Omaha System and its equivalent, Simplified Omaha System Terms., Methods: We used three samples to explore for patterns of resilience: pre-COVID-19 community-generated data (N = 383), pre-COVID-19 clinical documentation data (N = 50,509), and during-COVID-19 community-generated data (N = 102). Community participants used the My Strengths + My Health (MSMH) app to generate the two community datasets. The clinical data were obtained from the Omaha System Data Collaborative. We operationalized resilience as Omaha System Status scores of 4 (minimal signs or symptoms) or 5 (no signs or symptoms) as a discrete strengths measure for each of 42 Omaha System problem concepts. We used visualization techniques and standard descriptive and inferential statistics for analysis., Findings: It was feasible to examine resilience, operationalized as strengths by problem concept, within existing Omaha System or Simplified Omaha System Terms (MSMH) data. We identified several patterns indicating strengths and resilience that were consistent with literature related to community connectedness for community participants, and sleep for individuals in the clinical data., Conclusions: When used consistently, the Omaha System within MSMH enabled robust data collection for a comprehensive, holistic assessment, resulting in better whole-person data including strengths, and enabled us to discover a potentially useful approach for defining resilience in new ways using standardized nursing data., Clinical Relevance: The notion that how we assess individuals and communities (i.e., the completeness of our assessments in relation to whole-person health) determines what we can know about resilience is seemingly in opposition to the critical need to decrease documentation burden, despite the potential to shift from a problem deficit-based assessment to one of strengths and resilience. However, a patient-facing comprehensive assessment that includes resilience and the social determinants of health can provide a transformative, whole-person platform for strengths-based care and population management., (© 2021 Sigma Theta Tau International.)

Given the complex health and social needs of older adults, the rapid growth of the aging population, and the increasing use of information technology in healthcare, there is a critical need for informatics solutions that advance gerontological nursing care and knowledge discovery. This article illustrates the value of standardized data for healthcare quality improvement throughout the life cycle of data capture and reuse. One such informatics solution is the MyStrengths+MyHealth app, which incorporates a whole-person perspective through the Simplified Omaha System Terms assessment, including the social and behavioral determinants of health, as well as resilience. The data describe whole-person health of older adults from MyStrengths+MyHealth for use in clinical encounters and as raw data for research. There is potential to use such standardized data to improve gerontological nursing care at the bedside and for population health management and research., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: To describe the education, experience, skills, and knowledge required for health informatics jobs in the United States., Methods: Health informatics job postings ( n  = 206) from Indeed.com on April 14, 2020 were analyzed in an empirical analysis, with the abstraction of attributes relating to requirements for average years and types of experience, minimum and desired education, licensure, certification, and informatics skills., Results: A large percentage (76.2%) of posts were for clinical informaticians, with 62.1% of posts requiring a minimum of a bachelor's education. Registered nurse (RN) licensure was required for 40.8% of posts, and only 7.3% required formal education in health informatics. The average experience overall was 1.6 years (standard deviation = 2.2), with bachelor's and master's education levels increasing mean experience to 3.5 and 5.8 years, respectively. Electronic health record support, training, and other clinical systems were the most sought-after skills., Conclusion: This cross-sectional study revealed the importance of a clinical background as an entree into health informatics positions, with RN licensure and clinical experience as common requirements. The finding that informatics-specific graduate education was rarely required may indicate that there is a lack of alignment between academia and industry, with practical experience preferred over specific curricular components. Clarity and shared understanding of terms across academia and industry are needed for defining and advancing the preparation for and practice of health informatics., Competing Interests: None declared., (Thieme. All rights reserved.)