Chronic Conditions Causing Activity Limitation. United States—July 1963-June 1965.

Background: Mobile applications related to health and wellness (mHealth apps) are widely used to self-manage chronic conditions. However, research on whether mHealth apps facilitate self-management behaviors of individuals with chronic conditions is sparse. We aimed to evaluate the association of mHealth apps with different types of self-management behaviors among patients with chronic diseases in the United States. Methods: This is a cross-sectional observational study. We used data from adult participants (unweighted n = 2340) of the Health Information National Trends Survey in 2018 and 2019. We identified three self-management behaviors: (1) resource utilization using electronic personal health records; (2) treatment discussions with healthcare providers; and (3) making healthcare decisions. We analyzed the association of mHealth apps to self-management behaviors with multivariable logistic and ordinal regressions. Results: Overall, 59.8% of adults (unweighted number = 1327) used mHealth apps. Adults using mHealth apps were more likely to use personal health records (AOR = 3.11, 95% CI 2.26–4.28), contact healthcare providers using technology (AOR = 2.70, 95% CI 1.93–3.78), and make decisions on chronic disease management (AOR = 2.59, 95% CI 1.93–3.49). The mHealth apps were associated with higher levels of self-management involvement (AOR = 3.53, 95% CI 2.63–4.72). Conclusion: Among individuals with chronic conditions, having mHealth apps was associated with positive self-management behaviors.

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Prevalence of Arthritis and Arthritis-Attributable Activity Limitation by Urban-Rural County Classification — United States, 2015

MMWR Morbidity and Mortality Weekly Report ◽

10.15585/mmwr.mm6620a2 ◽

2017 ◽

Vol 66 (20) ◽

pp. 527-532 ◽

Cited By ~ 17

Author(s):

Michael A. Boring ◽

Jennifer M. Hootman ◽

Yong Liu ◽

Kristina A. Theis ◽

Louise B. Murphy ◽

...

Keyword(s):

United States ◽

Activity Limitation ◽

Rural County ◽

Urban Rural

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Subjective cognitive decline and comorbid chronic conditions among United States veterans, 2015‐2018

Alzheimer s & Dementia ◽

10.1002/alz.036351 ◽

2020 ◽

Vol 16 (S10) ◽

Author(s):

Sangeeta Gupta

Keyword(s):

United States ◽

Cognitive Decline ◽

Chronic Conditions ◽

Subjective Cognitive Decline

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Identifying Predictive Characteristics of Opioid Medication Use among a Nationally Representative Sample of United States Older Adults with Pain and Comorbid Hypertension or Hypercholesterolemia

Healthcare ◽

10.3390/healthcare8030341 ◽

2020 ◽

Vol 8 (3) ◽

pp. 341

Author(s):

David R. Axon ◽

Shannon Vaffis ◽

Srujitha Marupuru

Keyword(s):

United States ◽

Older Adults ◽

Representative Sample ◽

Chronic Conditions ◽

Functional Limitation ◽

The United States ◽

Medical Expenditure ◽

Opioid Use ◽

Nationally Representative ◽

Opioid Users

The prevalence of older adults with pain and comorbid cardiovascular conditions is increasing in the United States (U.S.). This retrospective, cross-sectional database study used 2017 Medical Expenditure Panel Survey data and hierarchical logistic regression models to identify predictive characteristics of opioid use among a nationally representative sample of older U.S. adults (aged ≥50 years) with pain in the past four weeks and comorbid hypertension (pain–hypertension group) or hypercholesterolemia (pain–hypercholesterolemia group). The pain–hypertension group included 2733 subjects (n = 803 opioid users) and the pain–hypercholesterolemia group included 2796 subjects (n = 795 opioid users). In both groups, predictors of opioid use included: White race versus others, Hispanic versus non-Hispanic ethnicity, 1 versus ≥5 chronic conditions, little/moderate versus quite a bit/extreme pain, good versus fair/poor perceived mental health, functional limitation versus no functional limitation, smoker versus non-smoker, and Northeast versus West census region. In addition, Midwest versus West census region was a predictor in the pain–hypertension group, and 4 versus ≥5 chronic conditions was a predictor in the pain–hypercholesterolemia group. In conclusion, several characteristics of older U.S. adults with pain and comorbid hypertension or hypercholesterolemia were predictive of opioid use. These characteristics could be addressed to optimize individuals’ pain management and help address the opioid overdose epidemic.

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The Digital Health Revolution and People with Disabilities: Perspective from the United States

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17020381 ◽

2020 ◽

Vol 17 (2) ◽

pp. 381 ◽

Cited By ~ 4

Author(s):

Mike Jones ◽

Frank DeRuyter ◽

John Morris

Keyword(s):

United States ◽

Mobile Health ◽

Chronic Conditions ◽

Digital Health ◽

Wearable Sensors ◽

Healthcare Delivery ◽

People With Disabilities ◽

The United States ◽

Models Of Care ◽

Health Technologies

This article serves as the introduction to this special issue on Mobile Health and Mobile Rehabilitation for People with Disabilities. Social, technological and policy trends are reviewed. Needs, opportunities and challenges for the emerging fields of mobile health (mHealth, aka eHealth) and mobile rehabilitation (mRehab) are discussed. Healthcare in the United States (U.S.) is at a critical juncture characterized by: (1) a growing need for healthcare and rehabilitation services; (2) maturing technological capabilities to support more effective and efficient health services; (3) evolving public policies designed, by turns, to contain cost and support new models of care; and (4) a growing need to ensure acceptance and usability of new health technologies by people with disabilities and chronic conditions, clinicians and health delivery systems. Discussion of demographic and population health data, healthcare service delivery and a public policy primarily focuses on the U.S. However, trends identified (aging populations, growing prevalence of chronic conditions and disability, labor shortages in healthcare) apply to most countries with advanced economies and others. Furthermore, technologies that enable mRehab (wearable sensors, in-home environmental monitors, cloud computing, artificial intelligence) transcend national boundaries. Remote and mobile healthcare delivery is needed and inevitable. Proactive engagement is critical to ensure acceptance and effectiveness for all stakeholders.

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