Consumer-Generated Whole-Person Health Data: A Structured Approach

Austin, Robin; Rajamani, Sripriya; Monsen, Karen A.

doi:10.4324/9781003281016-3

Cited by 3 publications

(10 citation statements)

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“…The data visualization research exemplar revealed a pattern of heightened needs aligning with other data visualization pattern detection research. 19,23,27 Such patterns should be interpreted together with clinicians and older adults to determine their clinical significance. Our next steps are to investigate whether this pattern for older adults with many (but not all) strengths may indicate increased patient interest in their health; we hypothesize that this may be due to heightened awareness that some strengths are not present.…”

Section: Discussionmentioning

confidence: 99%

“…9,21,22 Toward better consumer-generated whole-person health data, the Omaha System was simplified to the fifth-grade reading level and embedded within the MyStrengths+MyHealth (MSMH) application. 9,23,24 In adapting a whole-person assessment for populations with health literacy challenges, we compare the language of data capture and reuse of usual health assessments and those of MSMH (Figure 1). A summary of whole-person health definitions and how whole-person health is operationalized in MSMH is provided in Table 1 and Figure 2.…”

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confidence: 99%

“…A whole-person assessment is supported by the Omaha System, a multi-disciplinary standardized terminology used for EHR documentation by nurses and other clinicians, which both aggregates and makes interoperable health assessments for reuse in clinical settings and research 9,21,22 . Toward better consumer-generated whole-person health data, the Omaha System was simplified to the fifth-grade reading level and embedded within the MyStrengths+MyHealth (MSMH) application 9,23,24 . In adapting a whole-person assessment for populations with health literacy challenges, we compare the language of data capture and reuse of usual health assessments and those of MSMH (Figure 1).…”

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confidence: 99%

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Incorporating a Whole-Person Perspective in Consumer-Generated Data

Monsen

Austin

Jones

et al. 2021

CIN: Computers, Informatics, Nursing

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Given the complex health and social needs of older adults, the rapid growth of the aging population, and the increasing use of information technology in healthcare, there is a critical need for informatics solutions that advance gerontological nursing care and knowledge discovery. This article illustrates the value of standardized data for healthcare quality improvement throughout the life cycle of data capture and reuse. One such informatics solution is the MyStrengths+MyHealth app, which incorporates a whole-person perspective through the Simplified Omaha System Terms assessment, including the social and behavioral determinants of health, as well as resilience. The data describe whole-person health of older adults from MyStrengths+MyHealth for use in clinical encounters and as raw data for research. There is potential to use such standardized data to improve gerontological nursing care at the bedside and for population health management and research.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

mentioning

confidence: 99%

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Incorporating a Whole-Person Perspective in Consumer-Generated Data

Monsen

Austin

Jones

et al. 2021

CIN: Computers, Informatics, Nursing

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“…MyStrengths+MyHealth (MSMH) is a consumer-facing mHealth application that employs the SOST to capture respondent strengths, challenges, and needs (R. R. . The use of the Omaha System (and SOST) with exploratory data visualization analysis methods have been beneficial in understanding whole-person health (R. Austin, 2018;R. R. Austin, Mathiason, Lu, et al, 2022;Monsen et al, 2017).…”

Section: The Omaha Systemmentioning

confidence: 99%

“…Data were examined using standard descriptive and inferential statistics and heat map visualization techniques (R. R. Austin, Mathiason, Lu, et al, 2022;). An iterative visu-alization method based on exploratory data analysis principles was employed to characterize whole-person health of PHNs (R. Austin, 2018;John Tukey, 1977). Human visual perception was validated by comparison of perceptions among the research team.…”

Section: Analytic Strategymentioning

confidence: 99%

Using data visualization to characterize whole‐person health of public health nurses

Pirsch

Austin

Martin

et al. 2023

Public Health Nursing

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ObjectiveTo characterize patterns in whole‐person health of public health nurses (PHNs).Design and SampleSurvey of a convenience sample of PHNs (n = 132) in 2022. PHNs self‐identified as female (96.2%), white (86.4%), between the ages 25–44 (54.5%) and 45–64 (40.2%), had bachelor's degrees (65.9%) and incomes of $50‐75,000 (30.3%) and $75‐100,000/year (29.5%).MeasurementsSimplified Omaha System Terms (SOST) within the MyStrengths+MyHealth assessment of whole‐person health (strengths, challenges, and needs) across Environmental, Psychosocial, Physiological, and Health‐related Behaviors domains.ResultsPHNs had more strengths than challenges; and more challenges than needs. Four patterns were discovered: (1) inverse relationship between strengths and challenges/needs; (2) Many strengths; (3) High needs in Income; (4) Fewest strengths in Sleeping, Emotions, Nutrition, and Exercise. PHNs with Income as a strength (n = 79) had more strengths (t = 5.570, p < .001); fewer challenges (t = ‐5.270, p < .001) and needs (t = ‐3.659, p < .001) compared to others (n = 53).ConclusionsPHNs had many strengths compared to previous research with other samples, despite concerning patterns of challenges and needs. Most PHN whole‐person health patterns aligned with previous literature. Further research is needed to validate and extend these findings toward improving PHN health.

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Toward Clinical Adoption of Standardized mHealth Solutions

Austin

Mathiason

et al. 2022

CIN: Computers, Informatics, Nursing

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Consumer-Generated Whole-Person Health Data: A Structured Approach

Cited by 3 publications

References 0 publications

Incorporating a Whole-Person Perspective in Consumer-Generated Data

Incorporating a Whole-Person Perspective in Consumer-Generated Data

Using data visualization to characterize whole‐person health of public health nurses

Toward Clinical Adoption of Standardized mHealth Solutions

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