Translation and validation of the Omaha System into English language simplified Omaha System terms

Austin, Robin; Martin, Christie; Jones, Clarence R.; Lu, Sheng-Chieh; Jantraporn, Ratchada; Nestrašil, Igor; Martin, Karen S.; Monsen, Karen A.

doi:10.32725/kont.2022.007

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…The Omaha System has been used for holistic assessments and documentation of care since the 1990s (Austin, Mathiason, et al, 2021; Martin, 2005). The Simplified Omaha System Terms (SOST) has been validated at the 5th grade reading level (Austin, Martin, et al, 2022). Researchers and clinicians may obtain a free MSMH license through the University of Minnesota Office of Technology and Commercialization.…”

Section: Introductionmentioning

confidence: 99%

Using data visualization to detect patterns in whole‐person health data

Austin

Mathiason

Monsen

2022

Research in Nursing & Health

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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 wholeperson 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.

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Section: Introductionmentioning

confidence: 99%

Using data visualization to detect patterns in whole‐person health data

Austin

Mathiason

Monsen

2022

Research in Nursing & Health

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Comparison of SIREN social needs screening tools and Simplified Omaha System Terms: informing an informatics approach to social determinants of health assessments

Holt,

Austin,

Atadja

et al. 2023

Journal of the American Medical Informatics Association

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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.

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Examining standardized consumer-generated social determinants of health and resilience data supported by Omaha System terminology

Austin

Rajamani

Jantraporn

et al. 2023

Journal of the American Medical Informatics Association

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Nursing terminologies like the Omaha System are foundational in realizing the vision of formal representation of social determinants of health (SDOH) data and whole-person health across biological, behavioral, social, and environmental domains. This study objective was to examine standardized consumer-generated SDOH data and resilience (strengths) using the MyStrengths+MyHealth (MSMH) app built using Omaha System. Overall, 19 SDOH concepts were analyzed including 19 Strengths, 175 Challenges, and 76 Needs with additional analysis around Income Challenges. Data from 919 participants presented an average of 11(SD = 6.1) Strengths, 21(SD = 15.8) Challenges, and 15(SD = 14.9) Needs. Participants with at least one Income Challenge (n = 573) had significantly (P < .001) less Strengths [9.4(6.4)], more Challenges [27.4(15.5)], and more Needs [15.1(14.9)] compared to without an Income Challenge (n = 337) Strengths [13.4(4.5)], Challenges [10.5(8.9)], and Needs [5.1(10.0)]. This standards-based approach to examining consumer-generated SDOH and resilience data presents a great opportunity in understanding 360-degree whole-person health as a step towards addressing health inequities.

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Translation and validation of the Omaha System into English language simplified Omaha System terms

Cited by 3 publications

References 30 publications

Using data visualization to detect patterns in whole‐person health data

Using data visualization to detect patterns in whole‐person health data

Comparison of SIREN social needs screening tools and Simplified Omaha System Terms: informing an informatics approach to social determinants of health assessments

Examining standardized consumer-generated social determinants of health and resilience data supported by Omaha System terminology

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