Observational studyJournal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing2021
Exploring Large Community- and Clinically-Generated Datasets to Understand Resilience Before and During the COVID-19 Pandemic.
Observational study in Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities-A Case Study of Nanjing, China.International journal of environmental research and public health · 2022Pooled it
- Developing an Omaha System-based health application to improve knowledge, attitude, and behaviors regarding infectious disease prevention in the community: a study protocol for a randomized controlled trial.BMC public health · 2025Article
- Measuring Whole Person Health: A Scoping Review.Journal of integrative and complementary medicine · 2025Article
- FHIR-up! Advancing knowledge from clinical data through application of standardized nursing terminologies within HL7® FHIR®.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Future advancement of health care through standardized nursing terminologies: reflections from a Friends of the National Library of Medicine workshop honoring Virginia K. Saba.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Using data visualization to detect patterns in whole-person health data.Research in nursing & health · 2022Article
- A Community-Based Participatory Intervention in the United States Using Data to Shift the Community Narrative From Deficits to Strengths.American journal of public health · 2022Article
- Understanding Whole-Person Health and Resilience During the COVID-19 Pandemic and Beyond: A Cross-sectional and Descriptive Correlation Study.JMIR nursing · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeTo 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.
designA 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.
methodsWe 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.
findingsIt 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.
conclusionsWhen 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.
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