ArticleGlobal advances in health and medicine2015
The Gap in Big Data: Getting to Wellbeing, Strengths, and a Whole-person Perspective.
Article in Global advances in health and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Measuring Whole Person Health: A Scoping Review.Journal of integrative and complementary medicine · 2025Article
- Using data visualization to detect patterns in whole-person health data.Research in nursing & 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
- Exploring Large Community- and Clinically-Generated Datasets to Understand Resilience Before and During the COVID-19 Pandemic.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2021Observational
- Discovering Associations Among Older Adults' Characteristics and Planned Nursing Interventions Using Electronic Health Record Data.Research and theory for nursing practice · 2019Article
- Disseminating Strengths-Oriented Best Practices in Diabetes Care Utilizing a Standardized Language within a Global Community.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- A strengths-based data capture model: mining data-driven and person-centered health assets.JAMIA open · 2018Article
- Exploring Older Adults' Strengths, Problems, and Wellbeing Using De-identified Electronic Health Record Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectronic health records (EHRs) provide a clinical view of patient health. EHR data are becoming available in large data sets and enabling research that will transform the landscape of healthcare research. Methods are needed to incorporate wellbeing dimensions and strengths in large data sets. The purpose of this study was to examine the potential alignment of the Wellbeing Model with a clinical interface terminology standard, the Omaha System, for documenting wellbeing assessments.
objectiveTo map the Omaha System and Wellbeing Model for use in a clinical EHR wellbeing assessment and to evaluate the feasibility of describing strengths and needs of seniors generated through this assessment.
methodsThe Wellbeing Model and Omaha System were mapped using concept mapping techniques. Based on this mapping, a wellbeing assessment was developed and implemented within a clinical EHR. Strengths indicators and signs/symptoms data for 5 seniors living in a residential community were abstracted from wellbeing assessments and analyzed using standard descriptive statistics and pattern visualization techniques.
resultsInitial mapping agreement was 93.5%, with differences resolved by consensus. Wellbeing data analysis showed seniors had an average of 34.8 (range=22-49) strengths indicators for 22.8 concepts. They had an average of 6.4 (range=4-8) signs/symptoms for an average of 3.2 (range=2-5) concepts. The ratio of strengths indicators to signs/symptoms was 6:1 (range 2.8-9.6). Problem concepts with more signs/symptoms had fewer strengths.
conclusionTogether, the Wellbeing Model and the Omaha System have potential to enable a whole-person perspective and enhance the potential for a wellbeing perspective in big data research in healthcare.
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Registered trials
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