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  1. Article ; Online: Trust, Translation, and Transparency in Public Health Nurse Family Home Visiting.

    Monsen, Karen A

    American journal of public health

    2022  Volume 112, Issue S3, Page(s) S220–S221

    MeSH term(s) Female ; Home Care Services ; House Calls ; Humans ; Nurses, Public Health ; Postnatal Care ; Pregnancy ; Trust
    Language English
    Publishing date 2022-06-09
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 121100-6
    ISSN 1541-0048 ; 0090-0036 ; 0002-9572
    ISSN (online) 1541-0048
    ISSN 0090-0036 ; 0002-9572
    DOI 10.2105/AJPH.2022.306850
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  2. Article ; Online: Rapid Development and Deployment of an International Omaha System Evidence-Based Guideline to Support the COVID-19 Response.

    Monsen, Karen A

    Computers, informatics, nursing : CIN

    2020  Volume 38, Issue 5, Page(s) 224–226

    MeSH term(s) COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Evidence-Based Medicine ; Global Health ; Humans ; Pandemics/prevention & control ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Practice Guidelines as Topic
    Keywords covid19
    Language English
    Publishing date 2020-05-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2078463-6
    ISSN 1538-9774 ; 1538-2931
    ISSN (online) 1538-9774
    ISSN 1538-2931
    DOI 10.1097/CIN.0000000000000648
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  3. Article ; Online: FHIR-up! Advancing knowledge from clinical data through application of standardized nursing terminologies within HL7® FHIR®.

    Monsen, Karen A / Heermann, Laura / Dunn-Lopez, Karen

    Journal of the American Medical Informatics Association : JAMIA

    2023  Volume 30, Issue 11, Page(s) 1858–1864

    Abstract: 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 ... ...

    Abstract 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.
    MeSH term(s) Delivery of Health Care ; Electronic Health Records ; Health Level Seven ; Standardized Nursing Terminology
    Language English
    Publishing date 2023-07-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocad131
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  4. Article ; Online: Nurse Information Security Policy Compliance, Information Competence, and Information Security Attitudes Predict Information Security Behavior.

    Kang, Purum / Kang, Jiwon / Monsen, Karen A

    Computers, informatics, nursing : CIN

    2023  Volume 41, Issue 8, Page(s) 595–602

    Abstract: 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 ... ...

    Abstract 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.
    MeSH term(s) Humans ; Attitude of Health Personnel ; Guideline Adherence ; Nursing Staff, Hospital ; Cross-Sectional Studies ; Clinical Competence ; Surveys and Questionnaires ; Health Knowledge, Attitudes, Practice
    Language English
    Publishing date 2023-08-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2078463-6
    ISSN 1538-9774 ; 1538-2931
    ISSN (online) 1538-9774
    ISSN 1538-2931
    DOI 10.1097/CIN.0000000000000981
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  6. Article ; Online: Rapid Development and Deployment of an International Omaha System Evidence-Based Guideline to Support the COVID-19 Response ;

    Monsen, Karen A.

    CIN: Computers, Informatics, Nursing

    2020  Volume 38, Issue 5, Page(s) 224–226

    Keywords Health Informatics ; Nursing (miscellaneous) ; covid19
    Language English
    Publisher Ovid Technologies (Wolters Kluwer Health)
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2078463-6
    ISSN 1538-9774 ; 1538-2931
    ISSN (online) 1538-9774
    ISSN 1538-2931
    DOI 10.1097/cin.0000000000000648
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  7. Article ; Online: Clinical Judgment and Informatics: Encoding Simulations Using the Omaha System.

    Muehlbauer, Marshall / Bradley, Cynthia / Marquard, Jenna / Monsen, Karen A

    The Journal of nursing education

    2023  Volume 62, Issue 4, Page(s) 237–239

    Abstract: 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 ... ...

    Abstract 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 (
    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.
    MeSH term(s) Humans ; Education, Nursing, Baccalaureate ; Nursing Education Research ; Judgment ; Patient Simulation ; Informatics ; Students, Nursing ; Clinical Competence
    Language English
    Publishing date 2023-04-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 410686-6
    ISSN 1938-2421 ; 0148-4834
    ISSN (online) 1938-2421
    ISSN 0148-4834
    DOI 10.3928/01484834-20230208-07
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  8. Article ; Online: Public health nursing workforce and learning needs: A national sample survey analysis.

    Castner, Jessica / Stanislo, Kimberly / Castner, Martin / Monsen, Karen A

    Public health nursing (Boston, Mass.)

    2023  Volume 40, Issue 3, Page(s) 339–352

    Abstract: 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 ... ...

    Abstract 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.
    MeSH term(s) Humans ; United States ; Public Health Nursing/education ; Surveys and Questionnaires ; Nurses, Public Health ; Educational Status ; Workforce
    Language English
    Publishing date 2023-01-22
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 632563-4
    ISSN 1525-1446 ; 0737-1209
    ISSN (online) 1525-1446
    ISSN 0737-1209
    DOI 10.1111/phn.13171
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  9. Article ; Online: Prioritizing nutrition interventions for low-income clients receiving public health nurses' home visiting services: a latent class analysis study of Omaha System data.

    Lee, Jiwoo / Austin, Robin R / Mathiason, Michelle A / Monsen, Karen A

    Journal of the American Medical Informatics Association : JAMIA

    2023  Volume 30, Issue 11, Page(s) 1794–1800

    Abstract: 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.!## ...

    Abstract 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.
    MeSH term(s) Humans ; Nurses, Public Health ; House Calls ; Thinness ; Latent Class Analysis ; Hyperglycemia
    Language English
    Publishing date 2023-05-12
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocad079
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  10. Article ; Online: Using data visualization to detect patterns in whole-person health data.

    Austin, Robin R / Mathiason, Michelle A / Monsen, Karen A

    Research in nursing & health

    2022  Volume 45, Issue 4, Page(s) 466–476

    Abstract: 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- ... ...

    Abstract 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.
    MeSH term(s) Adult ; Data Visualization ; Humans
    Language English
    Publishing date 2022-06-19
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 424453-9
    ISSN 1098-240X ; 0160-6891
    ISSN (online) 1098-240X
    ISSN 0160-6891
    DOI 10.1002/nur.22248
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