scholarly journals Use of Wearable Device among Adults in the US with Self-reported Diabetes Mellitus: An Analysis of the 2019 Health Information National Trends Survey

2020 ◽  
Vol 5 (2) ◽  
pp. 72-78
Author(s):  
Victor Kekere ◽  
Henry Onyeaka ◽  
Olubunmi Fatoki ◽  
Kudirat Olatunde ◽  
Somto Enemuo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Health Information ◽  
Wearable Device ◽  
The Us ◽  
National Trends

Digital Health Engagement in the US Population: Insights From the 2018 Health Information National Trends Survey

2021 ◽  
pp. e1-e4
Author(s):  
Chelsea L. Ratcliff ◽  
Melinda Krakow ◽  
Alexandra Greenberg-Worisek ◽  
Bradford W. Hesse
Keyword(s):  
Public Health ◽  
Health Information ◽  
Health Care Providers ◽  
Digital Health ◽  
Smart Device ◽  
P Value ◽  
Care Providers ◽  
Cross Sectional ◽  
The Us ◽  
National Trends

Objectives. To examine prevalence and predictors of digital health engagement among the US population. Methods. We analyzed nationally representative cross-sectional data on 7 digital health engagement behaviors, as well as demographic and socioeconomic predictors, from the Health Information National Trends Survey (HINTS 5, cycle 2, collected in 2018; n = 2698–3504). We fitted multivariable logistic regression models using weighted survey responses to generate population estimates. Results. Digitally seeking health information (70.14%) was relatively common, whereas using health apps (39.53%) and using a digital device to track health metrics (35.37%) or health goal progress (38.99%) were less common. Digitally communicating with one’s health care providers (35.58%) was moderate, whereas sharing health data with providers (17.20%) and sharing health information on social media (14.02%) were uncommon. Being female, younger than 65 years, a college graduate, and a smart device owner positively predicted several digital health engagement behaviors (odds ratio range = 0.09–4.21; P value range < .001–.03). Conclusions. Many public health goals depend on a digitally engaged populace. These data highlight potential barriers to 7 key digital engagement behaviors that could be targeted for intervention. (Am J Public Health. Published online ahead of print May 20, 2021: e1–e4. https://doi.org/10.2105/AJPH.2021.306282 )

scholarly journals 3095 Perceived Knowledge of Palliative Care among Immigrants: A Secondary Data Analysis from the Health Information National Trends Survey

2019 ◽  
Vol 3 (s1) ◽  
pp. 136-137
Author(s):  
Amelia Barwise ◽  
Andrea Cheville ◽  
Mark Wieland ◽  
Ognjen Gajic ◽  
Alexandra Greenberg-Worisek
Keyword(s):  
Health Care ◽  
Palliative Care ◽  
Health Information ◽  
Secondary Outcome ◽  
Sociodemographic Characteristics ◽  
Care Providers ◽  
Perceived Knowledge ◽  
The Us ◽  
National Trends ◽  
Source Of Information

OBJECTIVES/SPECIFIC AIMS: Immigrants to North America receive more interventions at end of life.The reasons for this are not entirely clear but may potentially be due to knowledge gaps. The primary objective of this study was to measure and describe levels of perceived knowledge about palliative care among immigrants to the US compared to those born in the US. Our secondary objective was to identify trusted sources for seeking information about palliative care among immigrants and compare these trusted sources with those born in the US. We hypothesized that immigrants would have less knowledge of palliative care than those born in US and would trust different sources for information about palliative care. METHODS/STUDY POPULATION: We analyzed data from the nationally representative 2018 Health Information National Trends Survey (HINTS 5, cycle 2). Questionnaires were administered via mail between January and May 2018 to a population-based sample of adults. The primary outcome of interest was assessed using the item “How would you describe your level of knowledge about palliative care?” The secondary outcome of interest was determined using the item “Imagine you had a strong need to get information about palliative care, which of the following would you most trust as a source of information about palliative care?” All analyses were complete case analyses and conducted with survey commands using SAS 9.3 (SAS Institute Inc, Cary, NC, USA). Descriptive statistics were calculated, and bivariate analyses run between the outcomes of interest and sociodemographic characteristics (age, sex, education, race/ethnicity, nativity, English language proficiency). Multivariable logistic regressions were conducted to assess the role of nativity, controlling for statistically significant and relevant sociodemographic variables. Jackknife weighting was used to generate population-level estimates. RESULTS/ANTICIPATED RESULTS: The response rate was 33% (n=3384) and included 2846 (85.3% weighted) born in the US and 492 (14.7% weighted) not born in the USA. About 70% of those born in the US and 77% of immigrants (weighted) responded that they had “never heard of palliative care.” Trusted sources of palliative care were very similar between the groups (all p > 0.05). Both groups’ preferred trusted source of palliative care knowledge was “health care provider,” with over 80% of respondents in each group selecting this option. Printed materials and social media were the least popular trusted sources among both groups. After adjusting for relevant sociodemographic characteristics, we found no association between poor knowledge of palliative care and nativity (p=0.22). Female respondents had 2.5-fold increased odds of reporting low levels of perceived knowledge of palliative care (OR = 2.58, 95% CI = 1.76-3.78; p<0.001). Education was an important predictor of perceived knowledge of palliative care; as education level increased, so did perceived knowledge of palliative care (p < 0.001). DISCUSSION/SIGNIFICANCE OF IMPACT: Perceived knowledge of palliative care is poor generally, regardless of birthplace. Trusted sources for palliative care are similar between immigrants and those born in the US. Education is important and is a strong predictor of perceived knowledge of palliative care. Women perceive they have lower levels of knowledge of PC than men. Differences in end of life care between immigrants and non-immigrants cannot be explained by knowledge differences. Further research is needed to examine the potential factors including suboptimal communication between providers and immigrant patients to understand why these differences are noted. Future strategies for improving knowledge of palliative care should target health care providers as the key trusted source of information to help address deficits noted in this study.

scholarly journals Widespread Belief That Organic and Additive-Free Tobacco Products are Less Harmful Than Regular Tobacco Products: Results From the 2017 US Health Information National Trends Survey

2019 ◽  
Vol 21 (7) ◽  
pp. 970-973 ◽  
Author(s):  
Jennifer L Pearson ◽  
Meghan Moran ◽  
Cristine D Delnevo ◽  
Andrea C Villanti ◽  
M Jane Lewis
Keyword(s):  
Health Information ◽  
Smoking Status ◽  
Tobacco Product ◽  
Tobacco Products ◽  
Logistic Regression Models ◽  
The Us ◽  
Widespread Belief ◽  
Nationally Representative ◽  
Never Smokers ◽  
National Trends

Abstract Significance US smokers of Natural American Spirit, a brand marketed as “organic” and “additive-free,” are more likely than other cigarette smokers to believe that their brand might be less harmful than other brands. This article (1) describes the prevalence of belief that “organic” and “additive-free” tobacco is less harmful than regular tobacco products in the US population and (2) describes the sociodemographic characteristics of adults who believe tobacco products with these descriptors are less harmful. Methods Data were drawn from the 2017 Health Information National Trends Survey (HINTS), a nationally representative survey of US adults. Logistic regression models were used to examine correlates of the belief that “organic” or “additive-free” tobacco products are less harmful than regular tobacco products. Results Overall, 26.7% of US adults and 45.3% of adult smokers believe that “organic” tobacco products are less harmful than regular tobacco products. Similarly, 35.2% of US adults and 47.1% of smokers believe that “additive-free” tobacco products are less harmful. When examining gender, age, education, race/ethnicity, sexual orientation, and smoking status, only age (adjusted odds ratio [aOR] ~0.98, 95% confidence interval [CI]: 0.97, 0.99 for both outcomes) and smoking status (current vs. never smokers, aOR ~1.78, 95% CI 1.03, 3.07 for both outcomes) were correlates of believing that “organic” or “additive-free” tobacco is less harmful than regular tobacco products. Conclusions Belief that “organic” and “additive-free” tobacco products are less harmful than other products is widespread. Younger adults and current smokers are most likely to be misinformed by “organic” or “additive-free” tobacco product descriptors. Implications Belief that “organic” and “additive-free” tobacco products are less harmful than other products is widespread among US adults and most prevalent among smokers. Removal of terms that incorrectly imply reduced harm may correct current and future consumers’ misperceptions about the brand.

scholarly journals Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data (Preprint)

2019 ◽  
Author(s):  
Camella J Rising ◽  
Roxanne E Jensen ◽  
Richard P Moser ◽  
April Oh
Keyword(s):  
Health Behaviors ◽  
Health Information ◽  
Mobile Health ◽  
Technology Use ◽  
Older Age ◽  
Health Apps ◽  
Behavioral Tracking ◽  
The Us ◽  
Health Related ◽  
National Trends

BACKGROUND Multiple types of mobile health (mHealth) technologies are available, such as smartphone health apps, fitness trackers, and digital medical devices. However, despite their availability, some individuals do not own, do not realize they own, or own but do not use these technologies. Others may use mHealth devices, but their use varies in tracking health, behaviors, and goals. Examining patterns of mHealth use at the population level can advance our understanding of technology use for health and behavioral tracking. Moreover, investigating sociodemographic and health-related correlates of these patterns can provide direction to researchers about how to target mHealth interventions for diverse audiences. OBJECTIVE The aim of this study was to identify patterns of mHealth use for health and behavioral tracking in the US adult population and to characterize the population according to those patterns. METHODS We combined data from the 2017 and 2018 National Cancer Institute Health Information National Trends Survey (N=6789) to characterize respondents according to 5 mutually exclusive reported patterns of mHealth use for health and behavioral tracking: (1) mHealth nonowners and nonusers report not owning or using devices to track health, behaviors, or goals; (2) supertrackers track health or behaviors and goals using a smartphone or tablet plus other devices (eg, Fitbit); (3) app trackers use only a smartphone or tablet; (4) device trackers use only nonsmartphone or nontablet devices and do not track goals; and (5) nontrackers report having smartphone or tablet health apps but do not track health, behaviors, or goals. RESULTS Being in the mHealth nonowners and nonusers category (vs all mHealth owners and users) is associated with males, older age, lower income, and not being a health information seeker. Among mHealth owners and users, characteristics of device trackers and supertrackers were most distinctive. Compared with supertrackers, device trackers have higher odds of being male (odds ratio [OR] 2.22, 95% CI 1.55-3.19), older age (vs 18-34 years; 50-64 years: OR 2.83, 95% CI 1.52-5.30; 65+ years: OR 6.28, 95% CI 3.35-11.79), have an annual household income of US $20,000 to US $49,999 (vs US $75,000+: OR 2.31, 95% CI 1.36-3.91), and have a chronic condition (OR 1.69, 95% CI 1.14-2.49). Device trackers also have higher odds of not being health information seekers than supertrackers (OR 2.98, 95% CI 1.66-5.33). CONCLUSIONS Findings revealed distinctive sociodemographic and health-related characteristics of the population by pattern of mHealth use, with notable contrasts between those who do and do not use devices to track goals. Several characteristics of individuals who track health or behaviors but not goals (device trackers) are similar to those of mHealth nonowners and nonusers. Our results suggest patterns of mHealth use may inform how to target mHealth interventions to enhance reach and facilitate healthy behaviors.

scholarly journals Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data

10.2196/16299 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e16299 ◽  
Author(s):  
Camella J Rising ◽  
Roxanne E Jensen ◽  
Richard P Moser ◽  
April Oh
Keyword(s):  
Health Behaviors ◽  
Health Information ◽  
Mobile Health ◽  
Technology Use ◽  
Older Age ◽  
Health Apps ◽  
Behavioral Tracking ◽  
The Us ◽  
Health Related ◽  
National Trends

Background Multiple types of mobile health (mHealth) technologies are available, such as smartphone health apps, fitness trackers, and digital medical devices. However, despite their availability, some individuals do not own, do not realize they own, or own but do not use these technologies. Others may use mHealth devices, but their use varies in tracking health, behaviors, and goals. Examining patterns of mHealth use at the population level can advance our understanding of technology use for health and behavioral tracking. Moreover, investigating sociodemographic and health-related correlates of these patterns can provide direction to researchers about how to target mHealth interventions for diverse audiences. Objective The aim of this study was to identify patterns of mHealth use for health and behavioral tracking in the US adult population and to characterize the population according to those patterns. Methods We combined data from the 2017 and 2018 National Cancer Institute Health Information National Trends Survey (N=6789) to characterize respondents according to 5 mutually exclusive reported patterns of mHealth use for health and behavioral tracking: (1) mHealth nonowners and nonusers report not owning or using devices to track health, behaviors, or goals; (2) supertrackers track health or behaviors and goals using a smartphone or tablet plus other devices (eg, Fitbit); (3) app trackers use only a smartphone or tablet; (4) device trackers use only nonsmartphone or nontablet devices and do not track goals; and (5) nontrackers report having smartphone or tablet health apps but do not track health, behaviors, or goals. Results Being in the mHealth nonowners and nonusers category (vs all mHealth owners and users) is associated with males, older age, lower income, and not being a health information seeker. Among mHealth owners and users, characteristics of device trackers and supertrackers were most distinctive. Compared with supertrackers, device trackers have higher odds of being male (odds ratio [OR] 2.22, 95% CI 1.55-3.19), older age (vs 18-34 years; 50-64 years: OR 2.83, 95% CI 1.52-5.30; 65+ years: OR 6.28, 95% CI 3.35-11.79), have an annual household income of US $20,000 to US $49,999 (vs US $75,000+: OR 2.31, 95% CI 1.36-3.91), and have a chronic condition (OR 1.69, 95% CI 1.14-2.49). Device trackers also have higher odds of not being health information seekers than supertrackers (OR 2.98, 95% CI 1.66-5.33). Conclusions Findings revealed distinctive sociodemographic and health-related characteristics of the population by pattern of mHealth use, with notable contrasts between those who do and do not use devices to track goals. Several characteristics of individuals who track health or behaviors but not goals (device trackers) are similar to those of mHealth nonowners and nonusers. Our results suggest patterns of mHealth use may inform how to target mHealth interventions to enhance reach and facilitate healthy behaviors.

scholarly journals Progress on Broadband Access to the Internet and Use of Mobile Devices in the United States

2016 ◽  
Vol 132 (1) ◽  
pp. 27-31 ◽  
Author(s):  
Katrina J. Serrano ◽  
Chan L. Thai ◽  
Alexandra J. Greenberg ◽  
Kelly D. Blake ◽  
Richard P. Moser ◽  
...  
Keyword(s):  
Health Information ◽  
Mobile Devices ◽  
Cellular Network ◽  
The United States ◽  
The Internet ◽  
Broadband Access ◽  
Improve Population Health ◽  
The Us ◽  
Healthy People 2020 ◽  
National Trends

Healthy People 2020 (HP2020) aims to improve population health outcomes through several objectives, including health communication and health information technology. We used 7 administrations of the Health Information National Trends Survey to examine HP2020 goals toward access to the Internet through broadband and mobile devices (N = 34 080). We conducted descriptive analyses and obtained predicted marginals, also known as model-adjusted risks, to estimate the association between demographic characteristics and use of mobile devices. The HP2020 target (7.7% of the US population) for accessing the Internet through a cellular network was surpassed in 2014 (59.7%), but the HP2020 target (83.2%) for broadband access fell short (63.8%). Sex and age were associated with accessing the Internet through a cellular network throughout the years (Wald F test, P <.05). The increase in the percentage of people accessing the Internet through mobile devices presents an opportunity for technology-based health interventions that should be explored.

scholarly journals Assessing Genetic Literacy Awareness and Knowledge Gaps in the US Population: Results from the Health Information National Trends Survey

2017 ◽  
Vol 20 (6) ◽  
pp. 343-348 ◽  
Author(s):  
Melinda Krakow ◽  
Chelsea L. Ratcliff ◽  
Bradford W. Hesse ◽  
Alexandra J. Greenberg-Worisek
Keyword(s):  
Health Information ◽  
Knowledge Gaps ◽  
Genetic Literacy ◽  
The Us ◽  
National Trends

The role of sexual identity in tobacco information–seeking behaviours and perceptions

2018 ◽  
Vol 78 (2) ◽  
pp. 203-213 ◽  
Author(s):  
Christopher W Wheldon ◽  
Leah Hoffman ◽  
Erin Keely O’Brien ◽  
Janine Delahanty ◽  
Xiaoquan Zhao ◽  
...  
Keyword(s):  
Health Information ◽  
Tobacco Use ◽  
Sexual Minority ◽  
Information Seeking ◽  
Cross Sectional ◽  
Information Campaigns ◽  
The Us ◽  
Nationally Representative ◽  
National Trends

Objective: To explore differences in tobacco information–seeking behaviours and perceptions between sexual minority and heterosexual (or ‘straight’) adults and to determine if these differences are mediated by tobacco use. Design: Cross-sectional national survey. Setting: Nationally representative probability-based surveys of adults 18 years of age or older in the US civilian non-institutionalised population. Methods: Data from respondents identifying as gay, lesbian, bisexual (LGB; n = 156) or straight ( n = 4,964) in the US National Cancer Institute’s Health Information National Trends Survey Food and Drug Administration cycles 1 and 2 (HINTS-FDA 2015, 2017) were analysed. We compared the responses of sexual minority and straight respondents aged 18 years and older concerning tobacco information-seeking behaviours and perceptions. Results: Sexual minority respondents were more likely than their straight counterparts to seek out tobacco health information, to look for information about e-cigarettes and to use the Internet for health information searches. Some of these differences were mediated by tobacco use. Sexual minority respondents were similar to their straight counterparts regarding perceptions of trust and confidence in tobacco health information, as well as perceptions of the hazards of tobacco use. Conclusion: Because sexual minority adults have higher rates of tobacco use and higher rates of tobacco information seeking than others, tobacco health information campaigns should consider carefully tailoring the messages directed towards sexual minority populations.

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