Are we ready for Telemedicine? Trends in Health Information Technology (HIT) use among the U.S population 2012-2018 (Preprint)

2021 ◽  
Author(s):  
Nikhila Gandrakota ◽  
Mohammed K Ali ◽  
Megha K Shah

BACKGROUND The pandemic forced clinicians to pivot to offering services via telehealth, but it is unclear whether and which patients (users of care) were equipped to use digital health. This is especially pertinent for those adults managing chronic diseases, such as obesity, hypertension, and diabetes, which require regular follow medication management, and self-monitoring. OBJECTIVE To measure the trends and assess factors affecting Health Information Technology Use among US population with and without cardiovascular risk factors. METHODS We used serial cross-sectional National Health Interview Survey (NHIS) data from the years 2012 and 2018 was used to assess trends in health information technology (HIT) use among adults, stratified by age and cardiovascular risk factor status. A linear trend analysis was performed to observe the annual percentage change (APC) in HIT use from the years 2012 to 2018 by age, education, and cardiovascular risk status. We developed multivariate logistic regression models adjusted for age, sex, race, insurance status, marital status, geographic region, and perceived health status to assess the likelihood of HIT use among patients with and without cardiovascular disease risk factors. RESULTS 14,304 (44.6%) and 14,644 (58.7%) participants reported using HIT in 2012 and 2018, respectively. When comparing the rates of HIT use for the years 2012 and 2018 respectively, among participants without cardiovascular risk factors, the HIT use proportion increased from 51.1% to 65.8%, with one risk factor increased from 43.9% to 59%, and with more than one risk factor increased from 41.3% to 54.7%. Increasing trends in HIT use were highest among adults aged >65 years (APC: 8.3%), who had more than one CVD risk factors (APC: 5%), and among those who did not have high school graduation (APC: 8.8%). Likelihood of HIT use was significantly higher in younger, female, non-Hispanic white, higher education and income, married, and individuals reporting very good or excellent health status. In 2018, college graduates were 7.18 (95% CI: 5.86,8.79), 6.25 (5.02,7.78), 7.80 (5.87,10.36) times more likely to use HIT compared to adults without high school education among people with multiple, one, or no cardiovascular risk factors, respectively. CONCLUSIONS Over 2012-2018, HIT use increased nationally, with greater use noted among younger and higher educated U.S. adults. Targeted strategies are needed to engage a wider age-, race-, education-, and socioeconomic groups through lowering barriers to HIT access and utilization.

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Michelle C Odden ◽  
Andreea Rawlings ◽  
Alice Arnold ◽  
Mary Cushman ◽  
Mary Lou Biggs ◽  
...  

Introduction: Cardiovascular disease is the leading cause of mortality in old age, yet there is limited research on the patterns of cardiovascular risk factors that predict survival to 90 years. Hypothesis: The patterns of cardiovascular risk factors that portend longevity will differ from those that confer low cardiovascular risk. Methods: We examined repeated measures of blood pressure, LDL-cholesterol, and BMI from age 67 and survival to 90 years in the Cardiovascular Health Study (CHS). CHS is a prospective study of 5,888 black and white adults in two waves (1989-90 and 1992-93) from Medicare eligibility lists in four counties in the U.S. We restricted to participants aged 67 to 75 years at baseline to control for birth cohort effects and examined repeated measures of cardiovascular risk factors throughout the late-life course. We fit logistic regression models to predict survival to age 90 using generalized estimating equations, and modeled the risk factors as linear, a linear spline, and clinically relevant categories. Models were adjusted for demographics and medication use, and we also examined whether the association of each risk factor with longevity varied by the age of risk factor measurement. Best fit models are presented. Results: Among 3,645 participants in the birth cohort, 1,160 (31.8%) survived to 90 by June 16 th , 2015. Higher systolic blood pressure in early old age was associated with reduced odds for longevity, but there was an interaction with age such that the association crossed the null at 80 years. (Table) Among those with LDL-cholesterol <130 mg/dL, higher LDL-cholesterol was associated with greater longevity; at levels above 130 mg/dL there was no association between LDL-cholesterol and longevity. BMI had a u-shaped association with longevity. Conclusions: In summary, the patterns of risk factors that predict longevity differ from that considered to predict low cardiovascular risk. The risk of high systolic blood pressure appears to depend on the age of blood pressure measurement.


2013 ◽  
Vol 24 (1A) ◽  
pp. 15-19 ◽  
Author(s):  
Meagan A. Brown ◽  
Lauren Bloodworth ◽  
Leigh Ann Ross ◽  
Leonard Jack ◽  
Kathleen Kennedy

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
C Morbach ◽  
G Gelbrich ◽  
T Tiffe ◽  
F Eichner ◽  
M Breunig ◽  
...  

Abstract Background and aim Prevention of heart failure (HF) relies on early identification and elimination of cardiovascular risk factors. ACC/AHA guidelines define consecutive asymptomatic precursor stages of HF, i.e. stage A (with risk factors for HF), and stage B (asymptomatic cardiac dysfunction). We aimed to identify frequency and characteristics of individuals at risk for HF, i.e. stage A and B, in the general population. Methods The prospective Characteristics and Course of Heart Failure Stages A-B and Determinants of Progression (STAAB) cohort study phenotyped a representative sample of 5000 residents (aged 30–79 y) of a medium sized German town, reporting no previous HF diagnosis. Echocardiography was highly quality-controlled. We applied these definitions: HF stage A: ≥1 risk factor for HF (hypertension, arteriosclerotic disease, diabetes mellitus, obesity, metabolic syndrome), but no structural heart disease (SHD); HF stage B: asymptomatic but SHD [reduced left ventricular (LV) ejection fraction, LV hypertrophy, LV dilation, stenosis or grade 2/3 regurgitation of aortic/mitral valve, grade 2/3 diastolic dysfunction], or prior myocardial infarction; Normal (N): no risk factor and no SHD. We focused on subjects in stage B without apparent cardiovascular risk factors qualifying for A (B-not-A) compared to those with risk factors (BA) and N. The first half of the sample (n=2473) served as derivation set (D), the second half (n=2434) as validation set (V). Results We found 42% (D)/45% (V) of subjects in stage A, and 18% (D)/17% (V) in stage B. Among stage B subjects, 31% (D)/29% (V) were B-not-A. Compared to BA, B-not-A subjects were younger [47 vs. 63 y (D)/50 vs 63 years (V); both p<0.001] and more often female [78% vs 56% (D)/79% vs 62% (V); both p<0.001], had higher LV ejection fraction [59% vs 56% (D)/53% vs 48% (V); both p<0.05], lower E/e' [6.7 vs 9.9 (D)/6.9 vs. 9.3 (V); both p<0.001], higher LV volume [64 vs 59 mL/m2 (D)/54 vs 48 mL/m2 (V); both p≤0.01], lower hemoglobin [13.3 vs 13.9 g/dL (D, p=0.02)/13.4 vs 13.8 g/dL (V, p=0.08); both adjusted for sex], and lower QTc interval [423 vs 433 ms (D)/427 vs 438 ms (V); both p≤0.001). Compared to N, subjects in B-not-A were more often female [78% vs 56% (D)/79% vs 61% (V); both p<0.001], had larger QTc interval [423 vs 418 ms (D)/427 vs 420 ms (V); both p<0.05], and more often anemia [11% vs 5% (D, p=0.02)/9% vs 5% (V, p=0.12)]. Conclusions We confirmed, by extensive internal validation, the presence of a hitherto undescribed group of individuals with relevant myocardial alterations, but lacking respective risk factors. Since algorithms in primary prevention do not include echocardiography, this subgroup might be missed. Further investigations should 1) externally validate our finding, 2) study the prognostic course of subjects in group B-not-A, and 3) elaborate the material differences between B-not-A and N to identify potential further novel risk factors for HF. Acknowledgement/Funding German Ministry of Research and Education within the Comprehensive Heart Failure Centre Würzburg (BMBF 01EO1004 and 01EO1504)


1991 ◽  
Vol 12 (2) ◽  
pp. 166
Author(s):  
Martha R Arden ◽  
Joseph Feldman ◽  
Lauren Budow ◽  
Janet Siegel ◽  
Michael P Nussbaurn ◽  
...  

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