Kontakt 2022, 24(1):48-54 | DOI: 10.32725/kont.2022.007

Translation and validation of the Omaha System into English language simplified Omaha System termsNursing - Original article

Robin R. Austin1, *, Christie L. Martin1, Clarence R. Jones2, Sheng-Chieh Lu3, Ratchada Jantraporn1, Igor Nestrasil4, Karen S. Martin5, Karen A. Monsen1
1 University of Minnesota, School of Nursing, Minneapolis, Minnesota, USA
2 Hue-Man Partnership, Minneapolis, Minnesota
3 University of Texas, MD Anderson Cancer Center, Department of Symptom Research, Houston, Texas, USA
4 University of Minnesota, Medical School, Minneapolis, Minnesota, USA
5 Martin Associates, Omaha, Nebraska, USA

Purpose: COVID-19 has caused a shift toward consumer-facing technology such as mobile health (mHealth) applications. However, most mHealth apps do not use accessible language. Standardized terminologies have potential to solve this problem but have not been simplified for consumer use.

Methods: We used a standardized health terminology, the Omaha System, as the framework to develop the Simplified Omaha System Terms (SOST) for use within a mHealth application, MyStrengths + MyHealth. Plain language principles informed the SOST development in three phases, a community-validation focus group enabled feedback from diverse end-users, a readability assessment provide validation to the desired goal readability level.

Results: The community-validation members (n = 19) ages ranged from 22 to 74; 51% male, 84% people of color, and 21% college educated. The reading level of the final SOST averaged 3.86 on the Coleman-Liau Index (fourth grade). A case study showed meaningful whole-person health data were generated in a community-led study during COVID-19.

Conclusions: Community validation and readability assessment demonstrated accessible language for a clinical terminology. The SOST was deployed successfully in MyStrengths + My Health and in a community-led study. The Omaha System as a framework for the SOST may enable the data to be integrated with clinical datasets. Future research should focus on validation of SOST in additional languages and integration within electronic health platforms.

Keywords: Health literacy; Information science; Terminology
Conflicts of interest:

The authors have no conflict of interests to declare.

Received: August 6, 2021; Revised: February 2, 2022; Accepted: March 1, 2022; Prepublished online: March 9, 2022; Published: March 15, 2022  Show citation

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Austin RR, Martin CL, Jones CR, Lu S, Jantraporn R, Nestrasil I, et al.. Translation and validation of the Omaha System into English language simplified Omaha System terms. Kontakt. 2022;24(1):48-54. doi: 10.32725/kont.2022.007.
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    References

    1. AHRQ - Agency for Healthcare Research and Quality (2017). AHRQ Health Literacy Universal Precautions Toolkit. [online] [cit. 2021-01-16]. Available from: https://www.ahrq.gov/health-literacy/improve/precautions/index.html
    2. AHRQ - Agency for Healthcare Research and Quality (2020). Consumer-focused Digital Healthcare. [online] [cit. 2021-01-16]. Available from: https://digital.ahrq.gov/ahrq-funded-projects/current-priorities/consumer-focused-digital-healthcare?page=8%2C1
    3. Ancker JS, Witteman, HO, Hafeez B, Provencher T, Van de Graaf, M, Wei E (2015). The Invisible work of personal health information management among people with multiple chronic conditions: qualitative interview study among patients and providers. J Med Internet Res 17(6): e137. DOI: 10.2196/jmir.4381. Go to original source... Go to PubMed...
    4. Austin R (2018). Picturing patterns in whole-person health: leveraging visualization techniques with structured consumer-generated mHealth data. University of Minnesota, School of Nursing. [online] [cit. 2018-12-21]. Available from: https://conservancy.umn.edu/handle/11299/202216
    5. Banskota S, Healy M, Goldberg EM (2020). 15 smartphone apps for older adults to use while in isolation during the covid-19 pandemic. West J of Emerg Med 21(3): 514-525. DOI: 10.5811/westjem.2020.4.47372. Go to original source... Go to PubMed...
    6. Broderick J, Devine T, Langhans E, Lemerise AJ, Lier S, Harris L (2014). Designing Health Literate Mobile Apps. NAM Perspectives. Discussion Paper, National Academy of Medicine, Washington, DC. DOI: 10.31478/201401a. Go to original source...
    7. Chesser A, Burke A, Reyes J, Rohrberg T (2016). Navigating the digital divide: A systematic review of eHealth literacy inunderserved populations in the United States. Inform Health Social Care 41(1): 1-19. DOI: 10.3109/17538157.2014.948171. Go to original source... Go to PubMed...
    8. Cutilli CC, Simko LC, Colbert AM, Bennett IM (2018). Health literacy, health disparities, and sources of health information in U.S. older adults. Orthop Nurs 37(1): 54-65. DOI: 10.1097/NOR.0000000000000418. Go to original source... Go to PubMed...
    9. Eichner J, Dullabh P (2007). Accessible Health Information Technology (Health IT) for Populations With Limited Literacy: A Guide for Developers and Purchasers of Health IT. (Prepared by the National Opinion Research Center for the National Resource Center for Health IT). AHRQ Publication No. 08-0010-EF. Rockville, MD: Agency for Healthcare Research and Quality.
    10. Ernsting C, Dombrowski SU, Oedekoven M, O'Sullivan JL, Kanzler M, Kuhlmey A, et al. (2017). Using smartphones and health apps to change and manage health behaviors: A population-based survey. J Med Internet Res 19(4): 1-12. DOI: 10.2196/jmir.6838. Go to original source... Go to PubMed...
    11. Gandomi A, Haider M (2015). Beyond the hype: Big data concepts, methods, and analytics. Int J Inf Manage 35(2): 137-144. DOI: 10.1016/j.ijinfomgt.2014.10.007. Go to original source...
    12. Garner SL, Sudia T, Rachaprolu S (2018). Smart phone accessibility and mHealth use in a limited resource setting. Int J Nurs Pract 24(1): 1-5. DOI: 10.1111/ijn.12609. Go to original source... Go to PubMed...
    13. He Z, Chen Z, Oh S, Hou J, Bian J (2017). Enriching consumer health vocabulary through mining a social Q&A site: a similarity-based approach. J Biomed Inform 69(1): 75-85. DOI: 10.1016/j.jbi.2017.03.016. Go to original source... Go to PubMed...
    14. Hsueh P-Y, Cheung Y-K, Dey S, Kim KK, Martin-Sanchez FJ, Petersen SK, et al. (2017). Added value from secondary use of person generated health data in consumer health informatics. IMIA Yearbook 26(1): 160-171. DOI: 10.15265/IY-2017-009. Go to original source... Go to PubMed...
    15. Huh J, Koola J, Contreras A, Castillo AK, Ruiz M, Tedone KG, et al. (2018). Consumer health informatics adoption amongunderserved populations: thinking beyond the digital divide. Yearb Med Inform 27(1): 146-155. DOI: 10.1055/s-0038-1641217. Go to original source... Go to PubMed...
    16. Kao CK, Liebovitz DM (2017). Consumer mobile health apps: current state, barriers, and future directions. PMR 9(5S): S106-S115. DOI: 10.1016/j.pmrj.2017.02.018. Go to original source... Go to PubMed...
    17. Keesara S, Jonas A, Schulman K (2020). Covid-19 and health care's digital revolution. N Engl J Med 82(23):e82. DOI: 10.1056/NEJMp2005835. Go to original source... Go to PubMed...
    18. Language Scientific (2020). What is linguistic validation? [online] [cit. 2021-01-22]. Available from: https://www.languagescientific.com/what-is-linguistic-validation/
    19. Mackert M, Mabry-Flynn A, Champlin S, Donovan EE, Pounders K (2016). Health literacy and health information technology adoption: the potential for a new digital divide. J Med Internet Res 18(10): e264. DOI: 10.2196/jmir.6349. Go to original source... Go to PubMed...
    20. Mandel JC, Kreda DA, Mandl KD, Kohane IS, Ramoni RB (2016). SMART on FHIR: a standards-based, interoperable apps platform for electronic health records. J Am Med Inform Assoc 23(5): 899-908. DOI: 10.1093/jamia/ocv189. Go to original source... Go to PubMed...
    21. Martin KS (2005). The Omaha system: A key to practice. Documentation and information management (2nd ed.). Health Connections Press.
    22. Monsen KA, Austin RR, Gorjor B, Pirth A, Jones CR, Mathiason MA, et al. (2021a). Exploring large commnity- and clinical-generated health datasets to understand resilience before and during COVID-19 pandemic. J Nurs Scholarsh 53(3): 262-269. DOI: 10.1111/jnu.12634. Go to original source... Go to PubMed...
    23. Monsen KA, Austin RR, Jones RC, Brink D, Mathiason MA, Eder M (2021b). Incorporating a whole-person perspective in consumer-generated data. Comput Inform Nurs 39(8): 402-410. DOI: 10.1097/cin.0000000000000730. Go to original source... Go to PubMed...
    24. Monsen KA, Holland DE, Houger-Fung PW, Vanderboom CE (2014). Seeing the whole person: feasibility of using the Omaha System to describe strengths of older adults with chronic illness. Res Theory Nurs Pract 28(4): 299-315. DOI: 10.1891/1541-6577.28.4.299. Go to original source... Go to PubMed...
    25. Monsen KA, Peters J, Schlesner S, Vanderboom CE, Holland DR (2015). The gap in big data: getting to wellbeing, strengths, and a whole person perspective. Glob Adv Health Med 4(3): 31-39. DOI: 10.7453/gahmj.2015.040. Go to original source... Go to PubMed...
    26. Monsen KA, Westra BL, Paitich N, Ekstrom D, Mehle SC, Kaeding M, et al. (2012). Developing a shared personal health record for elders and providers: Technology and content. J Gerontol Nurs 38(7): 21-25. DOI: 10.3928/00989134-20120605-03. Go to original source... Go to PubMed...
    27. Norman C, Skinner H (2006). eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res 8(2): e9. DOI: 10.2196/jmir.8.2.e9. Go to original source... Go to PubMed...
    28. PCORI Institute (2019). The PCORI methodology report. [online] [cit. 2021-01-22]. Available from: https://www.pcori.org/research-results/about-our-research/research-methodology/pcori-methodology-report
    29. Plain Language.gov. (n.d.) (2015). Plain Language. [online] [cit. 2021-04-14]. Available from: https://www.plainlanguage.gov/
    30. Plow M, Golding M (2017). Using mHealth technology in a self-management intervention to promote physical activity among adults with chronic disabling conditions: randomized controlled trial. JMIR MHealth and UHealth 5(12): e185. DOI: 10.2196/mhealth.6394. Go to original source... Go to PubMed...
    31. Pruinelli L, Fu H, Monsen KA, Westra BL (2014). Comparison of consumer derived evidence with an Omaha System evidence-based practice guideline for community dwelling older adults. Stud Health Techn Inform 201: 18-24. DOI: 10.3233/978-1-61499-415-2-18. Go to original source...
    32. Readability.org. (2021). Coleman-Liau Readability Index. [online] [cit. 2021-08-16]. Available from: https://www.online-utility.org/english/readability_test_and_improve.jsp
    33. Regenstrief Institute, I. (2020). LOINC. [online] [cit. 2021-01-15]. Available from: https://loinc.org/
    34. Roundtable on Health Literacy; Board on Population Health and Public Health Practice; Institute of Medicine; National Academies of Sciences, Engineering, and Medicine (2015). Health Literacy and Consumer-facing Technology. DOI: 10.17226/21781. Go to original source... Go to PubMed...
    35. SNOMED International (2018). SNOMED CT. [online] [cit. 2021-10-15]. Available from: http://www.snomed.org/
    36. Stec MA, Arbour MW, Hines HF (2019). Client-centered mobile health care applications: using the mobile application rating scale instrument for evidence-based evaluation. J Midwifery Womens Health 64(3): 324-329. DOI: 10.1111/jmwh.12941. Go to original source... Go to PubMed...
    37. The National Academies Press (2015). Health Literacy and Consumer-Facing Technology. Health Literacy and Consumer-Facing Technology. DOI: 10.17226/21781. Go to original source... Go to PubMed...
    38. Omaha System (2021). The Omaha System: Solving the Clinical Data-Information Puzzle. [online] [cit. 2021-08-16]. Available from: https://www.omahasystem.org/
    39. The Office of National Coordinator (2020). Interoperability Standards Advisory - ONC's resource for industry to reference standards and implementation specifications. [online] [cit. 2021-01-22]. Available from: https://www.healthit.gov/isa/
    40. Turvey C, Klein D, Fix G, Hogan TP, Woods S, Simon SR, et al. (2014). Blue Button use by patients to access and share health record information using the Department of Veterans Affairs' online patient portal. J Am Med Inform Assoc 21(4): 657-663. DOI: 10.1136/amiajnl-2014-002723. Go to original source... Go to PubMed...
    41. U.S. Department of Health and Human Services Office of Disease Prevention and Health Promotion (2020). Health literacy in Healthy People. Healthy People 2030. [online] [cit. 2021-01-25]. Available from: https://health.gov/our-work/healthy-people-2030/about-healthy-people-2030/health-literacy-healthy-people
    42. USAID (2021). Blueprint for Global Health Resilience (Issue January). [online] [cit. 2021-01-21]. Available from: https://www.usaid.gov/global-health/health-systems-innovation/health-systems/resources/blueprint-resilience
    43. Webster P (2020). Virtual health care in the era of COVID-19. Lancet 395(10231): 1180-1181. DOI: 10.1016/S0140-6736(20)30818-7. Go to original source... Go to PubMed...
    44. Whitney RL, Ward DH, Marois MT, Schmid CH, Sim I, Kravitz RL (2018). Patient perceptions of their own data in mhealth technology-enabled N-of-1 trials for chronic pain: Qualitative study. JMIR MHealth and UHealth 6(10): e10291. DOI: 10.2196/10291. Go to original source... Go to PubMed...
    45. WHO (2017). Strengthening resilience: A priority shared by Health 2020 and the Sustainable Development Goals. [online] [cit. 2021-08-16]. Available from: https://www.euro.who.int/en/countries/monaco/publications/strengthening-resilience-a-priority-shared-by-health-2020-and-the-sustainable-development-goals-2017
    46. Wild D, Grove A, Martin M, Eremenco S, McElroy S, Verjee-Lorenz A, et al. (2005). Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: report of the ISPOR task force for translation and cultural adaptation. Value in Health 8(2): 94-104. DOI: 10.1111/j.1524-4733.2005.04054.x. Go to original source... Go to PubMed...
    47. Zeng QT, Tse T (2006). Exploring and developing consumer health vocabularies. J Am Med Inform Assoc 13(1): 24-29. DOI: 10.1197/jamia.M1761. Go to original source... Go to PubMed...

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