Understanding Women's Cardiovascular Health Using MyStrengths+MyHealth: A Patient-Generated Data Visualization Study of Strengths, Challenges, and Needs Differences.

PURPOSE: The purpose of this data visualization study was to identify patterns in patient-generated health data (PGHD) of women with and without Circulation signs or symptoms. Specific aims were to (a) visualize and interpret relationships among strengths, challenges, and needs of women with and without Circulation signs or symptoms; (b) generate hypotheses based on these patterns; and (c) test hypotheses generated in Aim 2. DESIGN: The design of this visualization study was retrospective, observational, case controlled, and exploratory. METHODS: We used existing de-identified PGHD from a mobile health application, MyStrengths+MyHealth (N = 383). From the data, women identified with Circulation signs or symptoms (n = 80) were matched to an equal number of women without Circulation signs or symptoms. Data were analyzed using data visualization techniques and descriptive and inferential statistics. FINDINGS: Based on the patterns, we generated nine hypotheses, of which four were supported. Visualization and interpretation of relationships revealed that women without Circulation signs or symptoms compared to women with Circulation signs or symptoms had more strengths, challenges, and needs-specifically, strengths in connecting; challenges in emotions, vision, and health care; and needs related to info and guidance. CONCLUSIONS: This study suggests that visualization of whole-person health including strengths, challenges, and needs enabled detection and testing of new health patterns. Some findings were unexpected, and perspectives of the patient would not have been detected without PGHD, which should be valued and sought. Such data may support improved clinical interactions as well as policies for standardization of PGHD as sharable and comparable data across clinical and community settings. CLINICAL RELEVANCE: Standardization of patient-generated whole-person health data enabled clinically relevant research that included the patients' perspective.

Discovering Associations Among Older Adults' Characteristics and Planned Nursing Interventions Using Electronic Health Record Data.

BACKGROUND AND PURPOSE: Little is known about how nursing assessments of strengths and signs/symptoms inform intervention planning in assisted living communities. The purpose of this study was to discover associations among older adults' characteristics and their planned nursing interventions. METHODS: This study employed a data-driven method, latent class analysis, using existing electronic health record data from a senior living community in the Midwest. A convenience sample comprised de-identified data of well-being assessments and care plans for 243 residents. Latent class analysis, descriptive, and inferential statistics were used to group the sample, summarize strengths and problems attributes, nursing interventions, and Knowledge, Behavior, and Status scores, and detect differences. RESULTS: Three groups presented based on patterns of strengths and signs/symptoms combined with problem concepts: Living Well (n = 95) had more strengths and fewer signs/symptoms; Lower Strengths (n = 99) had fewer strengths and more signs/symptoms; and Resilient Survivors (n = 49) had more strengths and more signs/symptoms. Some associations were found among group characteristics and planned interventions. Living Well had the lowest average number of planned interventions per resident (Mean = 2.7; standard deviation [SD] = 1.7) followed by Lower Strengths (Mean = 3.8; SD = 2.6) and Resilient Survivors (Mean = 4.1; SD = 3.4). IMPLICATIONS FOR PRACTICE: This study offers new knowledge in the use of a strengths-based ontology to facilitate a nursing discourse that leverages use of older adults' strengths to address their problems and support their living a healthier life. It also offers the potential to complement the problem-based infrastructure in clinical practice and documentation.

A strengths-based data capture model: mining data-driven and person-centered health assets.

With health care policy directives advancing value-based care, risk assessments and management have permeated health care discourse. The conventional problem-based infrastructure defines what data are employed to build this discourse and how it unfolds. Such a health care model tends to bias data for risk assessment and risk management toward problems and does not capture data about health assets or strengths. The purpose of this article is to explore and illustrate the incorporation of a strengths-based data capture model into risk assessment and management by harnessing data-driven and person-centered health assets using the Omaha System. This strengths-based data capture model encourages and enables use of whole-person data including strengths at the individual level and, in aggregate, at the population level. When aggregated, such data may be used for the development of strengths-based population health metrics that will promote evaluation of data-driven and person-centered care, outcomes, and value.

Change in Balance Confidence and Its Associations With Increasing Disability in Older Community-Dwelling Women at Risk for Falling.

OBJECTIVES: To describe change in balance confidence, and to identify associated factors and disabling consequences. METHOD: Secondary analysis of 2 years of data collected from 272 older women enrolled in a randomized clinical trial of fall prevention. Balance confidence and disability measures were assessed at baseline, after the 12 week intervention, and at 1 and 2 years follow-up. Associated factors were measured at baseline. RESULTS: Balance confidence varied at baseline and decreased 5% over 2 years, but no variables predicted this decline. Baseline balance confidence was associated with poor physical function and mental health. Decreasing balance confidence was associated with increasing impairments in balance and hip flexion strength, increasing functional limitations in mobility and chair rises, reduced physical activity levels, increased activity restrictions, and decreasing social networks. DISCUSSION: Decreasing balance confidence plays an important role in disablement. More research is needed to identify predictors of decreasing balance confidence.

The PADQOL: development and validation of a PAD-specific quality of life questionnaire.

Understanding the impact of peripheral artery disease (PAD) requires broad evaluation of how functional limitations of PAD affect patients' perceptions of health-related quality of life (HRQL). The objective of this study was to describe the development, testing, and psychometric properties of the PAD Quality of Life Questionnaire (PADQOL). The PADQOL was developed in three steps: (1) interviews of symptomatic PAD patients provided content of the initial questionnaire; (2) co-administration with the SF-36 (a 36-item short-form health survey), Walking Impairment Questionnaire, and Profile of Mood States examined construct validity; and (3) a three-phased factor analysis identified factors and shortened the questionnaire. Data analyses from 297 symptomatic PAD patients resulted in a 38-item questionnaire of five factors: Social relationships and interactions, Self-concept and feelings, Symptoms and limitations in physical functioning, Fear and uncertainty, and Positive adaptation (α = 0.92-0.73) and items related to sexual function, intimate relationships and employment. Between-instrument correlations established construct validity. In conclusion, PADQOL is a validated measure to assess the disease-specific physical, psychosocial and emotional effects of PAD for research and practice.

Health-related quality of life and subjective neurocognitive function three months after coronary artery bypass graft surgery.

PURPOSE: We compared health-related quality of life (HRQL), including patient-perceived neurocognitive function at preoperative baseline and 3 months after coronary artery bypass (CABG) surgery. DESIGN: The design was prospective and comparative. SETTING: The study took place in the cardiovascular units at two large metropolitan Midwestern hospitals. SAMPLE: The study included a consecutive convenience sample of 64 patients who underwent CABG. METHODS: Preoperative baseline and mailed survey at 3 months post-CABG included the Short-Form 12 (subjective health-status), State Trait Anxiety Inventory (state anxiety), Center for Epidemiological Studies of Depression (depressive symptoms), and Cantril Ladder of Life Satisfaction (global life satisfaction). Investigator-developed questions assessed satisfaction in life domains, cardiac symptoms, and frequency of symptoms related to neurocognitive function. RESULTS: Significant improvements were demonstrated 3 months postoperatively, including the Physical Component Summary, Mental Component Summary, depression, anxiety, satisfaction with social and mental life domains, and patient-perceived neurocognitive function related to memory and concentration. CONCLUSIONS: Patients reported improvements in HRQL measures, including two of three subjective neurocognitive measures. Health care providers facilitate preparation for the CABG recovery trajectory by discussing expected post-hospital experience and potential postoperative variations in emotions and neurocognitive function.

Functional recovery and exercise behavior in men and women 5 to 6 years following coronary artery bypass graft (CABG) surgery.

Improvement following coronary artery bypass graft (CABG) surgery has been reported to be less in women than men. Relationships between exercise behavior and functional status of men and women 5 to 6 years after CABG have not been examined in a representative patient sample. This study compared the 5- to 6-year recovery in a cohort of 184 patients at the Minnesota site of the Post CABG Biobehavioral Study. Data were collected by telephone interview and self-administered questionnaires. Results showed that women had lower physical ( p