Picking up the pace: changes in method and frame for the health information national trends survey (2011-2014)

Disparities in the Care Disruption During COVID-19 and in its Impacts on the Mental and Physical Well-Being of Cancer Survivors

PURPOSE

Our study explores cancer care disruption among different demographic subgroups. It also investigates these disruptions' impacts on cancer survivors' mental and physical well-being.

DESIGN

Pooled cross-sectional survey data.

SETTING

Health Information Trends Survey for Surveillance Epidemiology and End Results, HINTS-SEER.

PARTICIPATION

n = 1234 cancer survivors participated in the study and completed the survey.

MEASURES

Outcome variables were treatment disruption in cancer care, mental health and physical health perceptions, age, race, education, income, and sexual orientation.

ANALYSIS

Multiple imputations were used to address missing data. Descriptive statistics were conducted to understand the perceptions of care disruption. Partial least squares structural equation models were employed for data analysis, adjusted for socio-demographics.

RESULTS

COVID-19 impacted cancer treatment and follow-up appointments (69.45%), routine cancer screening (60.70%), and treatment plans (73.58%), especially among elderly patients. It changed the interactions with health care providers (HCP) for 28.03% of the participants. Older adults were 2.33 times more likely to experience treatment appointment disruptions. People who thought their contact with their doctors changed during COVID-19 were more likely to be older adults (65 or more) (OR = 3.85, P = .011), white (OR >1, P = .002), and with higher income (OR = 1.81, P = .002). The changes to cancer treatment and follow-up medical appointments negatively impacted the well-being of the patients (mental: β = -.006, P = .043; physical: β = -.001, P = .006), routine screening and preventative care visits (mental: β = -.029, P = .031; physical: β = -.003, P = .008), and cancer treatment plans (mental: β = -.044, P = .024; physical: β = -.021, P = .040).

CONCLUSIONS

Our findings underscore the crucial requirement for implementing focused interventions aimed at alleviating the discrepancies in the accessibility of cancer care across diverse demographic groups, particularly during times of emergency, in order to mitigate any potential disruptions in care.

Factors impacting breast cancer survivors' performance of annual follow-up mammograms: A nationally representative study

OBJECTIVE

Guided by the PRECEDE-PROCEDE model, this study explores the factors associated with completing an annual screening mammogram among breast cancer survivors (BCS).

METHODS

We used multiple cycles of survey data from the Health Information National Trends Survey (HINTS) (2017-2020). Logistic regression analyses were conducted to examine the correlates of past year mammograms among breast cancer survivors.

RESULTS

We included a sample of 909 breast cancer survivors in the study. Seventy percent of the sample reported at least one mammography screening in the prior 12 months. The more time since diagnosis, the fewer participants performed screening. Consistent with the PRECEDE-PROCEDE Model, annual screening was associated with enabling factors (having health insurance), reinforcing factors (trust in doctors, patient-centered communication), and predisposing factors (cancer-related worry and quality of care).

CONCLUSIONS

Findings suggest that thirty percent of BCS may experience barriers to receipt of follow-up mammograms. Additional research is needed to identify strategies that address demographic, enabling, reinforcing, and predisposing factors with the ultimate goal of improving access to follow-up mammography and ensuring the well-being of breast cancer survivors. Practice Implications Cancer surveillance among BCS is vital to improving health outcomes. Provider and practice-based interventions can potentially increase access and engagement with annual screening recommendations.

Disparities and Determinants of Online Medical Record Access among Cancer Survivors

Access to online medical records (OMRs) can help enhance cancer patient engagement and improve their health outcomes. This study investigates disparities in OMR access among cancer survivors and examines the association between OMR access and health perceptions. We conducted a cross-sectional analysis using data from the National Cancer Institute's Health Information National Trends Survey (HINTS) from 2017 to 2022. The sample included 4713 cancer survivors. We employed regression analysis to assess the associations between the different factors. Overall, 18.78% of participants accessed their OMRs once or twice, while 36.69% accessed them three times or more. Gender minority groups (β = -0.0038, p = 0.01), older adults (β = -0.1126, p < 0.001), and racial minority groups (β = -0.059, p < 0.001) were less likely to access their OMRs. Additionally, higher education levels (β = 0.274, p < 0.001), insurance coverage (β = 0.365, p < 0.001), and higher incomes (β = 0.115, p < 0.001) were associated with increased OMR access. Positive health perceptions were significantly associated with OMR usage, including perceived good health (β = 0.148, p < 0.001), quality of care (β = 0.15, p = 0.026), and self-efficacy (β = 0.178, p = 0.002). Disparities in OMR access among cancer survivors are influenced by socio-economic factors and health perceptions. Interventions targeting vulnerable groups, enhancing digital health literacy, and improving health perceptions could promote equitable OMR usage.

Exploring Health Information-Seeking Behavior and Information Source Preferences Among a Diverse Sample of Cancer Survivors: Implications for Patient Education

This study examined health information-seeking behavior among cancer survivors, including informational sources used and the factors correlated with information-seeking across different racial/ethnic groups. We used data from the Health Information National Trends Survey (2017-2022). Adjusted logistic regression was conducted to identify the predictors of information-seeking by race/ethnicity. Predicting variables were organized into demographic (age, education, race, income, and comorbidity), enabling (having health insurance, having a regular provider, and frequency of care visits), predisposing (quality of care, self-efficacy, and confidence in one's ability to get information), and reinforcing (patient-centered communication, ease of getting information, and confusing information available) factors based on the PRECEDE-PROCEED Model. We included 4723 cancer survivors, of which 15.41% have breast cancer, 17.50% have skin cancer, and 11.11% have prostate cancer. A majority (75.08%) had sought health information. Healthcare providers were the most preferred sources of information across demographic groups, followed by the Internet. Health insurance, a regular provider, and frequent visits were enabling factors that positively influenced information-seeking behavior. Confidence in getting information when needed and self-efficacy were predisposing factors positively associated with the information-seeking behavior. Finally, reinforcing factors (ease of getting information and non-confusion of the information available) were also positively associated with information-seeking. Study findings suggest that one-fourth of cancer survivors had not sought cancer-related information. The results have implications for identifying patients at increased risk for unmet information needs. They also contribute to our understanding of critical racial differences and similarities. Further, findings can help guide interventions to assist in information seeking based on patient preferences.

Rationale, Procedures, and Response Rates for a Pilot Study to Sample Cancer Survivors for NCI's Health Information National Trends Survey: HINTS-SEER 2021

The National Cancer Institute's (NCI) Health Information National Trends Survey (HINTS) is a nationally representative survey of U.S. adults in which 12-17% of respondents report a cancer history. To increase representation from adult cancer survivors, in 2021, NCI sampled survivors from three Surveillance, Epidemiology, and End Results (SEER) program cancer registries: Iowa, New Mexico, and the Greater Bay Area. Sampling frames were stratified by time since diagnosis and race/ethnicity, with nonmalignant tumors and non-melanoma skin cancers excluded. Participants completed a self-administered postal questionnaire. The overall response rate for HINTS-SEER (N = 1,234) was 12.6%; a non-response bias analysis indicated few demographic differences between respondents and the pool of sampled patients in each registry. Most of the sample was 10+ years since diagnosis (n = 722; 60.2%); 392 respondents were 5 to < 10 years since diagnosis (29.6%); and 120 were < 5 years since diagnosis (10.2%). Common cancers included male reproductive (n = 304; 24.6%), female breast (n = 284; 23.0%), melanoma (n = 119; 9.6%), and gastrointestinal (n = 106; 8.6%). Tumors were mostly localized (67.8%; n = 833), with 22.4% (n = 282) regional, 6.2% (n = 72) distant, and 3.7% (n = 47) unknown. HINTS-SEER data are available by request and may be used for secondary analyses to examine a range of social, behavioral, and healthcare outcomes among cancer survivors.

Association of the affordable care act with perceived health care quality of cancer survivors

BACKGROUND

The association between the Patient Protection and Affordable Care Act (ACA) and perceptions of health care quality of cancer survivors is not well established. The purpose of this study was to examine changes in perceived health care quality concurrent with the implementation of the ACA among cancer survivors relative to a non-cancer comparison group.

METHODS

We used cross-sectional data from the Health Information National Trends Survey (N = 30,542). Participants were considered cancer survivors if they had a diagnosis greater than five years before the interview. The pre-ACA period included the years 2008 through 2014. The post-ACA period included 2017 through 2020. Using difference-in-differences methods, we estimated the association of ACA implementation with perceived health care quality (measured from excellent to fair/poor) using propensity score-matched cancer survivors (n = 2298) and a non-cancer comparison group (n = 6669) with weighted logistic models.

RESULTS

There were similar distributions of perceptions of excellent, very good, good, and fair/poor health care quality regardless of cancer status or time-period. The pre-post ACA implementation difference of reporting excellent, very good and good health care quality (odds ratio [OR]: 1.0, 95% confidence interval [CI]: 0.83-1.19; OR: 0.98, 95% CI 0.83-1.19; and OR: 1.05, 95% CI: 0.87-1.28 respectively) compared to fair/poor was similar in cancer survivors relative to the non-cancer comparison group.

CONCLUSIONS

The initial implementation of the ACA appeared to have no effect on perceived overall health care quality reported by cancer survivors when compared to individuals without a history of cancer. Health care policies and domains which continue to support better patient-perceived care quality should be assessed in the cancer survivor population.

Social Disparities in Online Health-Related Activities and Social Support: Findings from Health Information National Trends Survey

It is important to examine gaps in online health-related activities (OHAs) between socially advantaged and disadvantaged groups, considering that emerging information and communication technologies may bring about social disparities in their adoption and possibly expand preexisting health disparities. We thus examined whether digital divide occurs in the area of OHAs, including engagement with a very recent technology. To be more specific, we explored the effects of education, income, and race/ethnicity on OHAs, such as online health information seeking, social media use for health, and health information technologies (HITs) utilization. Moreover, given the importance of socio-contextual factors in digital divide, we examined how social support interacts with education, income, and race/ethnicity, and jointly influences OHAs. Using data from the 2017 Health Information National Trends Survey, we found the effects of education on several OHAs. Income only affected HITs utilization that had just started to diffuse across the U.S. society. We also identified reinforcing effects of social support and education on HITs utilization, and reinforcing effects of social support and income on online health information seeking. The implications of these findings for health communication and public health research were discussed.

Attitudes towards and sociodemographic determinants of genetic test usage in the USA; data from the Health Information National Trend Survey, 2020

The purpose of this study was to examine the trends in who obtains genetic tests, and opinions about how genes affect health. Cross-sectional survey data from Health Information National Trends Survey (HINTS) 5, Cycle 4 was used. This data was collected from adults 18 years of age or older who completed mailed surveys sent by the National Cancer Institute between January and April 2020. The sample consisted of 2,947 respondents who answered the question 'Have you ever had a genetic test'? 727 had a test and 2,220 did not have a test. The measures used included survey questions that asked whether respondents obtained certain kinds of genetic tests, who they shared test results with, whether they believed genes affect health status, and their demographic and cancer status information. Multivariate logistic regression models were developed to assess which demographic variables were associated with having different kinds of genetic tests, and whether those who had genetic tests had different opinions about genetic testing and the influence of genes on health. We found that female respondents [OR: 1.9; CI: (1.2-3.1)] had higher odds of having any genetic tests while Hispanic [OR: 0.5; CI: (0.2-1.0)] respondents had lower odds. Our findings indicate that there are demographic disparities in who received genetic tests, and that cancer risk alone does not explain the differences in prevalence of genetic testing.

Trends and differences in perceptions of patient-centered communication among adults in the US

OBJECTIVE

Patient-centered communication (PCC) is a key indicator of healthcare quality and is critical to patient-centered care. The purpose of this study is to examine the trends in PCC over the past decade and determine if differences in PCC by subpopulation remain METHODS: We used nationally representative survey data from the Health Information National Trends Study (HINTS) to examine PCC. We conducted trend and multivariate regression analyses to understand the changes of PCC scores and differences in PCC by key sociodemographic groups.

RESULTS

PCC reported among adults minimally increased with the largest increases in participants involved in making decisions regarding their healthcare. Participants who were non-Hispanic Black, older, had less than a high school education, or rural residents reported more positive perceptions of PCC CONCLUSION: Our findings indicate improvements to PCC over time. These findings also indicate that differences in patients' perceptions of PCC continue to persist and it's possible that personal expectations may influence a person's perception of the quality of PCC experienced PRACTICE IMPLICATIONS: This study highlights the continued need for provider education in patient emotional support and providing patients with the skills and resources to engage in high quality PCC.

Clinical Cancer and Direct-to-Consumer Genetic Test Result-Sharing Behavior: Findings from HINTS 2020

INTRODUCTION

Sharing genetic test results with different stakeholders such as family members, healthcare providers and genetic counselors (HCP/GCs), spouses/partners, and friends is a health behavior of clinical importance in genomic medicine.

METHODS

Using nationally representative population-based data collected from the Health Information National Trends Survey (HINTS 5, cycle 4), we identified the prevalence and factors associated with genetic test result-sharing behavior for high-risk cancer tests, genetic health risk tests, and ancestry tests within four groups: HCP/GCs, first-degree relatives (FDRs), spouse/partner, and friend/other.

RESULTS

Overall, 68.4% of those who underwent high-risk cancer genetic testing shared their results with FDRs, whereas 89.9% shared with HCP/GCs. In adjusted multivariable analyses, women were nine times more likely than men to share (p = 0.006), and those with a personal history of cancer were less likely to share with HCP/GCs (OR = 0.025, p ≤ 0.001). Of those tested for genetic health risk, 66.5% shared with HCP/GCs, 38.7% with FDRs, 66.6% with a spouse/partner, 12.8% with a friend, and 14.1% did not share results with anyone. Of those who underwent ancestry testing, very few shared results with HCP/GCs (2.6%), whereas modest sharing was reported with FDRs, spouses/partners, and friends.

DISCUSSION

These data add empirical evidence about the population prevalence of genetic information sharing and serve as a metric for public engagement with genetic testing.

Wearable Activity Tracker Use and Physical Activity Among Informal Caregivers in the United States: Quantitative Study

BACKGROUND

With an increase in aging population and chronic medical conditions in the United States, the role of informal caregivers has become paramount as they engage in the care of their loved ones. Mounting evidence suggests that such responsibilities place substantial burden on informal caregivers and can negatively impact their health. New wearable health and activity trackers (wearables) are increasingly being used to facilitate and monitor healthy behaviors and to improve health outcomes. Although prior studies have examined the efficacy of wearables in improving health and well-being in the general population, little is known about their benefits among informal caregivers.

OBJECTIVE

This study aimed to examine the association between use of wearables and levels of physical activity (PA) among informal caregivers in the United States.

METHODS

We used data from the National Cancer Institute's Health Information National Trends Survey 5 (cycle 3, 2019 and cycle 4, 2020) for a nationally representative sample of 1273 community-dwelling informal caregivers-aged ≥18 years, 60% (757/1273) female, 75.7% (990/1273) had some college or more in education, and 67.3% (885/1273) had ≥1 chronic medical condition-in the United States. Using jackknife replicate weights, a multivariable logistic regression was fit to assess an independent association between the use of wearables and a binary outcome: meeting or not meeting the current World Health Organization's recommendation of PA for adults (≥150 minutes of at least moderate-intensity PA per week).

RESULTS

More than one-third (466/1273, 37.8%) of the informal caregivers met the recommendations for adult PA. However, those who reported using wearables (390/1273, 31.7%) had slightly higher odds of meeting PA recommendations (adjusted odds ratios 1.1, 95% CI 1.04-1.77; P=.04) compared with those who did not use wearables.

CONCLUSIONS

The results demonstrated a positive association between the use of wearables and levels of PA among informal caregivers in the United States. Therefore, efforts to incorporate wearable technology into the development of health-promoting programs or interventions for informal caregivers could potentially improve their health and well-being. However, any such effort should address the disparities in access to innovative digital technologies, including wearables, to promote health equity. Future longitudinal studies are required to further support the current findings of this study.

Are beliefs about the importance of genetics for cancer prevention and early detection associated with high risk cancer genetic testing in the U.S. Population?

Public attitudes towards germline genetic testing for inherited cancers have been found to be generally positive. Past research demonstrated that diverse causal beliefs and contextual factors are associated with uptake of genetic testing. However, it is unclear how beliefs about genetically informed cancer prevention and early detection ultimately shape testing behaviors. We used data from the National Health Information National Trends Survey (HINTS 5 Cycle 4) to evaluate these beliefs and the relationship between beliefs related to cancer genetics and participation in cancer genetic testing. Overall, 5.24% of the total weighted sample underwent cancer genetic testing, of whom 70.5% (n = 141) had no personal history of cancer, whereas others had a personal diagnosis of breast, ovarian, or colorectal cancer (23.0%), or other cancers (6.5%). In adjusted multivariable analysis, testing was positively associated with personal history of breast, ovarian, or colorectal cancer (OR = 28.37, 95% CI: 10.19–79.04), female sex (OR = 2.97, 95% CI: 1.41–6.26), having high cancer worry (OR = 4.78, 95%: 2.19–10.45), and negatively associated with being Hispanic (OR = 0.37, 95%: 0.16–0.86) or non-Hispanic Asian (OR = 0.12, 95% CI: 0.04–0.33). Belief in the importance of genetics for early detection of cancer was associated with testing (OR = 18.03, 95% CI: 4.07–79.79), whereas belief in the importance of genetics for cancer prevention was not. The association between testing and belief about the importance of genetics for early detection of cancer, but not cancer prevention, is a surprising finding that warrants further research. Better understanding of these beliefs and their potential impact on test uptake may inform population genetic testing efforts.

Factors Influencing Public Awareness of and Attitudes Toward Palliative Care: A Cross-Sectional Analysis of the 2018 HINTS Data

Background

The global burden of serious health-related suffering requiring palliative care has been projected to grow significantly by 2060, which indicates the imminent need for integrating palliative care into health systems globally. Moreover, research evidence has been accumulating in support of the earlier adoption of palliative care into the treatment course of serious life-threatening illnesses. However, barriers to earlier access to palliative care still remain, which might be attributable to the global lack of awareness of palliative care and the prevalence of negative perceptions and attitudes. To address this, further investigation of the influencing factors of public perceptions of palliative care is imperative to help inform and develop effective targeted public health campaigns and education messages aimed at improving views of palliative care and thereby early access.

Methods

We used data from the Health Information National Trends Survey (HINTS), a nationally representative cross-sectional survey routinely administrated by the National Cancer Institute from the United States. Specifically, we analyzed the latest palliative care data from HINTS 5 Cycle 2 data set. Sociodemographic characteristics, individual factors such as self-perceived health status, and interpersonal factors such as relationship quality were examined as predictors of public awareness of and attitudes toward palliative care. Survey data were analyzed using SPSS 26 with multiple hierarchical regression tests.

Results

Results showed that people's quality of interpersonal relationships was a significant influencing factor of their awareness of and attitudes toward palliative care. Moreover, cancer diagnosis history and perceived healthcare quality were found to jointly affect their awareness of palliative care; perceived health status and patient centeredness interacted to influence their awareness of and attitudes toward palliative care. Finally, female, non-white, and poorer people were more aware of palliative care, while female and more educated people had more favorable attitudes.

Conclusions

The quality of social relationships emerges as a significant predictor of people's awareness of and attitude toward palliative care, as treatment options and decisions of serious life-threatening illnesses often involve the patients' family. The results hold strong implications for public health campaigns and education messages aiming at changing people's views of palliative care, which ultimately improve end-of-life outcomes.

Heterogeneity in Trust of Cancer Information among Hispanic Adults in the United States: An Analysis of the Health Information National Trends Survey

BACKGROUND

Hispanics are differentially burdened by inequities in cancer outcomes. Increasing knowledge about cancer and cancer services among Hispanics may aid in reducing inequities, but little is known about what information sources are considered most effective or most trusted by this diverse population. The goal of this study was to examine heterogeneity in trust of cancer information from various media sources among U.S. Hispanic adults.

METHODS

Using data from the Health Information National Trends Survey (HINTS) 4, Cycles 2 and 4 and HINTS 5, Cycle 2, we examined nine trust questions, divided into four domains of health communication sources [doctor, government health/charitable organizations, media (including Internet), and family/friends and religious organizations]. Independent variables examined were gender, Hispanic ethnic categories (Mexican American, Cuban/Puerto Rican, and other Hispanics), age, education, income, language, and nativity. We used multivariable logistic regression with survey weights to identify independent predictors of cancer information source use and trust.

RESULTS

Of the 1,512 respondents, trust in sources ranged from 27% for radio to 91% for doctors. In multivariable models, Cubans/Puerto Ricans were twice as likely to trust cancer information from print media compared with Mexican Americans. Hispanics 75 years and older were nearly three times as likely to trust cancer information from religious organizations compared with those ages 18 to 34. Hispanic women were 59% more likely to trust cancer information from the Internet compared with men.

CONCLUSIONS

Subgroup variability in source use and trust may be masked by broad racial and ethnic categories.

IMPACT

Among Hispanics, there is significant variation by ethnicity and other sociodemographics in trust of sources of cancer information across multiple constructs, with notable implications for disseminating cancer information.

Pattern of Use of Electronic Health Record (EHR) among the Chronically Ill: A Health Information National Trend Survey (HINTS) Analysis

Effective patient–provider communication is a cornerstone of patient-centered care. Patient portals provide an effective method for secure communication between patients or their proxies and their health care providers. With greater acceptability of patient portals in private practices, patients have a unique opportunity to manage their health care needs. However, studies have shown that less than 50% of patients reported accessing the electronic health record (EHR) in a 12-month period. We used HINTS 5 cycle 1 and cycle 2 to assess disparities among US residents 18 and older with any chronic condition regarding the use of EHR for secure direct messaging with providers, to request refills, to make clinical decisions, or to share medical records with another provider. The results indicate that respondents with multimorbidity are more likely to share their medical records with other providers. However, respondents who are 75 and older are less likely to share their medical records with another provider. Additionally, respondents who are 65 and older are less likely to use the EHR for secure direct messaging with their provider. Additional health care strategies and provider communication should be developed to encourage older patients with chronic conditions to leverage the use of patient portals for effective disease management.

Perceived involvement in health care decisions among US adults: Sociodemographic and medical condition correlates

OBJECTIVE

To explore factors associated with how often US adults perceived that they were "always" involved in decisions about health care to the degree that they desired.

METHODS

We examined cross-sectional, nationally representative data from the 2018 Health Information National Trends Survey. There were 3504 responses in the full HINTS dataset; 2499 remained after eliminating respondents with missing data for any factor of interest. Sociodemographic factors included age, gender, race/ethnicity, and education. Medical conditions included diabetes, hypertension, heart disease, lung disease, arthritis, cancer, and depression. Participants were asked to think about communication with health professionals during the last 12 months and how often health professionals involved them in decisions about health care.

RESULTS

In univariate analyses, Asian and Hispanic race were associated with lower odds of always being involved in decisions about health care; whereas higher education and a history of cancer were associated with higher odds of "always" being involved in decisions about health care, p < 0.05. In multivariate analyses, race and education both remained significant; however, history of cancer did not.

CONCLUSION

Differences by race/ethnicity and educational attainment exist regarding perceived involvement in decisions about health care.

PRACTICE IMPLICATIONS

Findings may inform future shared decision making interventions.

Human papillomavirus awareness among foreign- and US-born Hispanics, United States, 2017-2018

INTRODUCTION

Human papillomavirus (HPV) and HPV vaccine knowledge and awareness are known to be lower among Hispanics compared to non-Hispanic whites. However, Hispanics in the US are a non-homogenous population, with significant differences by nativity, particularly between the US-and foreign-born individuals. We examined HPV and HPV vaccine awareness among foreign-born Hispanics, US-born Hispanics, and US-born non-Hispanic whites.

METHODS

We analyzed data from the Health Information National Trends Survey (HINTS) 5, cycles 1 (2017) and 2 (2018), the most recent HINTS datasets including nativity information. We used descriptive statistics and multivariable regression to compare awareness of HPV and the HPV vaccine among ethnicity/nativity subgroups.

RESULTS

Over 50% of foreign-born Hispanics had not heard of HPV, compared to 32% of US-born Hispanics (P < 0.01) and 33% of non-Hispanic whites (p < 0.01). Lack of HPV vaccine awareness among foreign-born Hispanics was not significantly different from US-born Hispanics (52% vs. 44%, p = 0.12), but was significantly lower compared to non-Hispanic whites (52% vs. 32%, p < 0.01). In multivariable analyses, non-Hispanic whites had over twice the odds of having heard of HPV than foreign-born Hispanics (p < 0.05), while US-born Hispanics had 75% higher odds (p < 0.05). Regarding HPV awareness, non-Hispanic whites had 95% higher odds of having heard of the HPV vaccine than foreign-born Hispanics (p < 0.05), while differences between US and foreign-born Hispanics were not significant.

CONCLUSION

There are significant nativity-related differences in HPV and HPV vaccine awareness and knowledge among US-born Hispanics. Over 50% of foreign-born Hispanic adults are unaware of HPV and the HPV vaccine.

Palliative care knowledge, information sources, and beliefs: Results of a national survey of adults in the USA

OBJECTIVE

Despite its established benefits, palliative care (PC) is not well known among patients and family/caregivers. From a nationally representative survey, we sought to assess the following associated with PC: knowledge, knowledge sources, and beliefs.

METHODS

Data were drawn from the Health Information National Trends Study (HINTS 5 Cycle 2), a cross-sectional, survey of non-institutionalized adults aged 18+ years in the USA. Data were weighted and assessed by proportional comparison and multivariable logistic regression.

RESULTS

A total of 3504 respondents were identified, and approximately 29% knew about PC. In the adjusted model, less PC knowledge was associated with: lower age (those aged <50), male gender, lower education (<high school graduation or high school graduate), and non-internet users. A little over half (55%) of respondents accessed healthcare providers first for PC information, and 80% considered providers the most trusted source of PC information. Most of the participants strongly/somewhat agreed that the goal of PC is to help friends and family cope with a patient's illness (90.6%), offer social and emotional support (93.4%), and manage pain and other physical symptoms (95.1%). Similarly, a majority (83.3%) strongly/somewhat agreed that it is a doctor's obligation to inform all patients with cancer about the option of PC.

SIGNIFICANCE OF RESULTS

PC knowledge was generally low (1-in-3 respondents knew of PC), with significant differences according to age, gender, education, and internet use. These data provide a baseline from which PC education policies and interventions may be measured.

Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey

BACKGROUND

Online medical records are being used to organize processes in clinical and outpatient settings and to forge doctor-patient communication techniques that build mutual understanding and trust.

OBJECTIVE

We aimed to understand the reasons why patients tend to avoid using online medical records and to compare the perceptions that patients have of online medical records based on demographics and cancer diagnosis.

METHODS

We used data from the Health Information National Trends Survey Cycle 3, a nationally representative survey, and assessed outcomes using descriptive statistics and chi-square tests. The patients (N=4328) included in the analysis had experienced an outpatient visit within the previous 12 months and had answered the online behavior question regarding their use of online medical records.

RESULTS

Patients who were nonusers of online medical records consisted of 58.36% of the sample (2526/4328). The highest nonuser rates were for patients who were Hispanic (460/683, 67.35%), patients who were non-Hispanic Black (434/653, 66.46%), and patients who were older than 65 years (968/1520, 63.6%). Patients older than 65 years were less likely to use online medical records (odds ratio [OR] 1.51, 95% CI 1.24-1.84, P<.001). Patients who were White were more likely to use online medical records than patients who were Black (OR 1.71, 95% CI 1.43-2.05, P<.001) or Hispanic (OR 1.65, 95% CI 1.37-1.98, P<.001). Patients who were diagnosed with cancer were more likely to use online medical records compared to patients with no cancer (OR 1.31, 95% CI 1.11-1.55, 95% CI 1.11-1.55, P=.001). Among nonusers, older patients (≥65 years old) preferred speaking directly to their health care providers (OR 1.76, 95% CI 1.35-2.31, P<.001), were more concerned about privacy issues caused by online medical records (OR 1.79, 95% CI 1.22-2.66, P<.001), and felt uncomfortable using the online medical record systems (OR 10.55, 95% CI 6.06-19.89, P<.001) compared to those aged 18-34 years. Patients who were Black or Hispanic were more concerned about privacy issues (OR 1.42, 1.09-1.84, P=.007).

CONCLUSIONS

Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics.

Persistent digital divide in health-related internet use among cancer survivors: findings from the Health Information National Trends Survey, 2003-2018

PURPOSE

Prior research on the use of the internet among cancer survivors indicates a digital divide. The online landscape and patterns of information consumption, however, have notably changed over the past decade necessitating an updated examination of health-related internet use (HRIU) among cancer survivors.

METHODS

Using survey data from 2003, 2005, 2007, 2011, 2013, 2017, and 2018 Health Information National Trends Survey (HINTS) iterations, the objectives of this study were to report prevalence, trends, and user profiles in HRIU in terms of emailing doctors, buying medicine online, and support group participation. Descriptive analyses and weighted multivariate logistic regression analyses were performed.

RESULTS

Cancer survivors who reported not using the internet were more likely to be older, belong to ethnic minorities, be less educated, and reside in rural areas as compared with those who reported using the internet. Except for participation in online support groups, all other types of HRIU increased in prevalence across the years.

CONCLUSIONS

Consistent with the increased penetration of the internet and the altered online health communication landscape, we found increased prevalence of HRIU among cancer survivors. However, the digital divide persists in terms of internet access. These findings can inform initiatives to bridge the gap among survivors of varying profiles in using the internet for their health needs.

IMPLICATIONS FOR CANCER SURVIVORS

There is increased reliance on online platforms to obtain and communicate health-related information. The risk with this approach is potential oversight of ensuring equity in terms of internet access and technology literacy among survivors.

Riding the Wave of Digital Transformation in Behavioral Medicine

BACKGROUND

Digital technologies provide a platform for accelerating science and broadening impact in behavioral medicine.

PURPOSE

The objective of this invited keynote presentation or paper is to offer a blueprint for navigating the rapidly changing waters of digital health.

METHODS

A strategic literature review on digital health technologies in behavioral medicine was combined with a review of relevant policy initiatives to yield insights on: (a) knowledge building, (b) collaboration, and (c) public health stewardship.

RESULTS

Digital platforms offer unprecedented leverage for accelerating science, facilitating collaboration, and advancing public health. Early successes in behavioral medicine demonstrated how digital platforms could extend the reach of theory-based behavioral therapeutics through increases in efficiency and scale. As medical investments in health information technology increased, the field of behavioral informatics emerged as the collaborative glue binding behavioral theory into a new generation of patient-facing applications, clinical decision support tools, evidence-based communication programs, and population health management strategies. As a leader within the interstitial space between medicine, psychology, and engineering, the Society of Behavioral Medicine is in a distinct position to exert influence on the ways in which our science is utilized to eliminate health disparities; improve support for patients, caregivers, and communities; to promote general health and well-being; and to offer relief when confronted with psychological pain or addiction.

CONCLUSION

Riding the wave of digital transformation has less to do with mastering the complexities of the latest technologies and more to do with adhering closely to established principles for navigating a rapidly changing information environment.

The Influence of Patient-Provider Communication on Cancer Screening

Few studies have examined how different qualities and modes (face-to-face vs electronic) of patient-provider communication (PPC) influence cancer screening uptake. Our objective was to determine whether receiving a breast, cervical, and colorectal cancer screening is influenced by (1) qualities of face-to-face and (2) the use of e-mail PPC. We analyzed Health Information National Trends Survey 4, cycles 1 to 4 data. To assess qualities of face-to-face PPC, adults reported how often physicians spent enough time with them, explained so they understood, gave them a chance to ask questions, addressed feelings and emotions, involved them in decisions, confirmed understanding, and helped them with uncertainty. Adults reported whether they used e-mail PPC. We used multivariable logistic regression to evaluate the odds of receiving cancer screenings based on face-to-face and e-mail PPC. Adults whose health-care providers involved them in decision-making had highest odds of receiving breast (odds ratio [OR] = 1.38; 95% confidence interval [CI] = 1.11-1.71), cervical (OR = 1.30; 95% CI = 1.06-1.60), and colorectal (OR = 1.25; 95% CI = 1.03-1.51) cancer screenings. No significant associations were observed between e-mail PPC and cancer screenings. More research is needed to explore this association.

Integrating remote monitoring into heart failure patients' care regimen: A pilot study

Background

Around 50% of hospital readmissions due to heart failure are preventable, with lack of adherence to prescribed self-care as a driving factor. Remote tracking and reminders issued by mobile health devices could help to promote self-care, which could potentially reduce these readmissions.

Objective

We sought to investigate two factors: (1) feasibility of enrolling heart failure patients in a remote monitoring regimen that uses wireless sensors and patient-reported outcome measures; and (2) their adherence to using the study devices and completing patient-reported outcome measures.

Methods

Twenty heart failure patients participated in piloting a remote monitoring regimen. Data collection included: (1) physical activity using wrist-worn activity trackers; (2) body weight using bathroom scales; (3) medication adherence using smart pill bottles; and (4) patient -reported outcomes using patient-reported outcome measures.

Results

We evaluated 150 hospitalized heart failure patients and enrolled 20 individuals. Two factors contributed to 50% (65/130) being excluded from the study: smartphone ownership and patient discharge. Over the course of the study, 60.0% of the subjects wore the activity tracker for at least 70% of the hours, and 45.0% used the scale for more than 70% of the days. The pill bottle was used less than 10% of the days by 55.0% of the subjects.

Conclusions

Our method of recruiting heart failure patients prior to hospital discharge may not be feasible as the enrollment rate was low. Once enrolled, the majority of subjects maintained a high adherence to wearing the activity tracker but low adherence to using the pill bottle and completing the follow-up surveys. Scale usage was fair, but it received positive reviews from most subjects. Given the observed usage and feedback, we suggest mobile health-driven interventions consider including an activity tracker and bathroom scale. We also recommend administering a shorter survey more regularly and through an easier interface.

Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey

National surveys of U.S. adults have observed significant increases in health-related internet use (HRIU), but there are documented disparities. The study aims to identify social and demographic patterns of health-related internet use among U.S. adults. Using data from the Health Information National Trends Survey (HINTS) 4 cycle 3 and HINTS 5 cycle 1, we examined HRIU across healthcare, health information seeking, and participation on social media. Primary predictors were gender, race/ethnicity, age, education, income, and nativity with adjustments for smoking and survey year. We used multivariable logistic regression with survey weights to identify independent predictors of HRIU. Of the 4817 respondents, 43% had used the internet to find a doctor; 80% had looked online for health information. Only 20% had used social media for a health issue; 7% participated in an online health support group. In multivariable models, older and low SES participants were significantly less likely to use the internet to look for a provider, use the internet to look for health information for themselves or someone else, and less likely to use social media for health issues. Use of the internet for health-related purposes is vast but varies significantly by demographics and intended use.

Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study

BACKGROUND

Tablet and smartphone ownership have increased among US adults over the past decade. However, the degree to which people use mobile devices to help them make medical decisions remains unclear.

OBJECTIVE

The objective of this study is to explore factors associated with self-reported use of tablets or smartphones to support medical decision making in a nationally representative sample of US adults.

METHODS

Cross-sectional data from participants in the 2018 Health Information National Trends Survey (HINTS 5, Cycle 2) were evaluated. There were 3504 responses in the full HINTS 5 Cycle 2 data set; 2321 remained after eliminating respondents who did not have complete data for all the variables of interest. The primary outcome was use of a tablet or smartphone to help make a decision about how to treat an illness or condition. Sociodemographic factors including gender, race/ethnicity, and education were evaluated. Additionally, mobile health (mHealth)- and electronic health (eHealth)-related factors were evaluated including (1) the presence of health and wellness apps on a tablet or smartphone, (2) use of electronic devices other than tablets and smartphones to monitor health (eg, Fitbit, blood glucose monitor, and blood pressure monitor), and (3) whether people shared health information from an electronic monitoring device or smartphone with a health professional within the last 12 months. Descriptive and inferential statistics were conducted using SAS version 9.4. Weighted population estimates and standard errors, univariate odds ratios, and 95% CIs were calculated, comparing respondents who used tablets or smartphones to help make medical decisions (n=944) with those who did not (n=1377), separately for each factor. Factors of interest with a P value of <.10 were included in a subsequent multivariable logistic regression model.

RESULTS

Compared with women, men had lower odds of reporting that a tablet or smartphone helped them make a medical decision. Respondents aged 75 and older also had lower odds of using a tablet or smartphone compared with younger respondents aged 18-34. By contrast, those who had health and wellness apps on tablets or smartphones, used other electronic devices to monitor health, and shared information from devices or smartphones with health care professionals had higher odds of reporting that tablets or smartphones helped them make a medical decision, compared with those who did not.

CONCLUSIONS

A limitation of this research is that information was not available regarding the specific health condition for which a tablet or smartphone helped people make a decision or the type of decision made (eg, surgery, medication changes). In US adults, mHealth and eHealth use, and also certain sociodemographic factors are associated with using tablets or smartphones to support medical decision making. Findings from this study may inform future mHealth and other digital health interventions designed to support medical decision making.

Information Seeking Behavior About Cancer and Associated Factors Among University Students, Ethiopia: A Cross-Sectional Study

Introduction

Cancer is among the leading cause of death in sub-Saharan Africa over the last few years, putting a tremendous physical, emotional, and financial strain on individuals, families, and health systems. Many health systems in sub-Saharan Africa are least prepared to manage this burden, and a large number of individuals do not have access to quality cancer-related information to prevent and manage cancer. Understanding the information seeking behavior of individuals, especially university students who are more likely to seek health information than other people, can be seen as an opportunity to provide resources to improve lifestyle or prevent possible health-threatening behaviors of individuals.

Objective

This study aimed to assess cancer information seeking behavior (CISB) and its associated factors among students in Debre Tabor University, Ethiopia.

Methods

An institution-based cross-sectional study design was conducted among students at Debre Tabor University from March 01 to March 30, 2019. A total of 844 students were selected using a multistage stratified sampling technique. Data were collected using a structured and pre-tested questionnaire by trained data collectors. Data entry and analyses were performed using Epi info version 7.2 and SPSS version 20, respectively. Descriptive and inferential statistics were used to explore the socio-demographic information and cancer information seeking behavior. Binary logistic regression was used to identify factors associated with cancer information seeking.

Results

The proportion of cancer information seeking by students in the past 12 months was 30.1%. Their preferred source of information about cancer was health-care providers (48%) followed by the Internet (27.6%). Year of study, Internet access (AOR=6.07, 95% CI= 4.05, 9.10), health literacy level (AOR=1.8, 95% CI=1.21, 2.68), self-reported health condition (AOR=1.85, 95% CI=1.25, 2.73), perceived susceptibility to cancer (AOR=2.48, 95% CI=1.47, 4.2), and perceived severity of cancer (AOR=3.33, 95% CI=1.85, 6.0) were the factors associated with cancer information seeking.

Conclusion

The proportion of cancer information seeking among university students was low. Being 3rd- and 4th-year student, internet access, being healthy, adequate health literacy level, concerning about cancer, and higher perceived severity of cancer were significantly associated with cancer information seeking. Increase health literacy and awareness creation about cancer for students will help to seek cancer information.

Patient Reports of Involvement in Health Care Decisions: Falling Short of Healthy People 2020 Objectives

The Healthy People 2020 (HP 2020) initiative delineates objectives for improving population health in the United States. The National Cancer Institute's Health Information National Trends Survey (HINTS) has served as an important data source for tracking several HP 2020 Health Communication and Health Information Technology objectives, including patient perceptions of involvement in health-care decisions. We analyzed data from six cross-sectional administrations of HINTS (2008 to 2017; N = 25,410) to assess progress toward the HP 2020 objective of increasing the proportion of persons reporting that their health-care providers always involved them in decisions about their health care. In each survey year, just over half the population (range = 51.6 to 54.6) reported that their health-care providers always involved them in health-care decisions; the observed percentages over a 10-year period remained below the HP 2020 goal of 56.8% and did not show significant improvement. Results show a lack of progress toward this HP 2020 goal despite increased attention to patient engagement in health care over the last several decades.

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

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.

L'infirmière pivot associée à une expérience de soins oncologiques positive et à une satisfaction accrue des patients

Contexte et objectifs

Un nombre croissant de résultats probants indique que l'infirmière pivot en oncologie (IPO) joue un rôle de premier plan dans l'optimisation des processus et des résultats de soins. Il faudra toutefois mener des études d'envergure pour comparer les perceptions de l'expérience de soins liés au cancer des patients traités par des infirmières pivots et de ceux qui n'ont pas bénéficié de ce type de suivi.

Méthodologie

Des participants (N = 2 858) traités au cours des six derniers mois dans un centre de traitement du cancer situé à Montréal, au Québec, et affilié à une université ont répondu au sondage sur la satisfaction des patients en traitement anticancéreux ambulatoire, c'est-à-dire le Ambulatory Oncology Patient Satisfaction Survey (AOPSS).

Résultats

L'expérience des soins oncologiques était significativement plus positives et la satisfaction plus élevée dans le groupe suivi par une infirmière pivot (n = 2 003) pour les six domaines de soins (différences moyennes de 3,32 à 8,95) et les quatre fonctions infirmières (différences moyennes de 5,64 à 10,39), comparativement au groupe sans IPO (n = 855).

Discussion

L'infirmière pivot joue un rôle important dans l'amélioration de l'expérience de soins et la satisfaction des patients. Les recherches futures devront explorer les potentielles relations de cause à effet entre les infirmières pivots, les processus de soins et les résultats des patients.

The nurse pivot-navigator associated with more positive cancer care experiences and higher patient satisfaction

Background and objectives

Growing evidence indicates that the nurse navigator-pivot (NN), is key to optimizing care processes and outcomes. However, large scale studies are needed to examine how patients exposed to NNs (as opposed to non-NN) differentially perceived their cancer care experiences.

Method

Participants (N = 2,858) treated for cancer in the last six months at university-affiliated cancer centres in Montréal, Québec, completed the Ambulatory Oncology Patient Satisfaction Survey (AOPSS).

Results

Cancer care experiences and satisfaction were significantly higher in the NN group (n = 2,003) for all six care domains (Ds from 3.32 to 8.95) and all four nursing functions (Ds from 5.64 to 10.39) when compared to the non-NN group (n = 855).

Discussion

The NN role is significantly related to enhanced cancer care experiences and higher patient satisfaction. Future research should explore potential causal effects between NNs and care processes, as well as patient outcomes.

Public Knowledge of Human Papillomavirus and Receipt of Vaccination Recommendations

This cross-sectional survey study assesses knowledge of human papillomavirus by age and sex.

Assessment of Heart Failure Patients' Interest in Mobile Health Apps for Self-Care: Survey Study

BACKGROUND

Heart failure is a serious public health concern that afflicts millions of individuals in the United States. Development of behaviors that promote heart failure self-care may be imperative to reduce complications and avoid hospital re-admissions. Mobile health solutions, such as activity trackers and smartphone apps, could potentially help to promote self-care through remote tracking and issuing reminders.

OBJECTIVE

The objective of this study was to ascertain heart failure patients' interest in a smartphone app to assist them in managing their treatment and symptoms and to determine factors that influence their interest in such an app.

METHODS

In the clinic waiting room on the day of their outpatient clinic appointments, 50 heart failure patients participated in a self-administered survey. The survey comprised 139 questions from previously published, institutional review board-approved questionnaires. The survey measured patients' interest in and experience using technology as well as their function, heart failure symptoms, and heart failure self-care behaviors. The Minnesota Living with Heart Failure Questionnaire (MLHFQ) was among the 11 questionnaires and was used to measure the heart failure patients' health-related quality of life through patient-reported outcomes.

RESULTS

Participants were aged 64.5 years on average, 32% (16/50) of the participants were women, and 91% (41/45) of the participants were determined to be New York Heart Association Class II or higher. More than 60% (30/50) of the survey participants expressed interest in several potential features of a smartphone app designed for heart failure patients. Participant age correlated negatively with interest in tracking, tips, and reminders in multivariate regression analysis (P<.05). In contrast, MLHFQ scores (worse health status) produced positive correlations with these interests (P<.05).

CONCLUSIONS

The majority of heart failure patients showed interest in activity tracking, heart failure symptom management tips, and reminder features of a smartphone app. Desirable features and an understanding of factors that influence patient interest in a smartphone app for heart failure self-care may allow researchers to address common concerns and to develop apps that demonstrate the potential benefits of mobile technology.

Health Literacy among Individuals with Disabilities: A Health Information National Trends Survey Analysis

INTRODUCTION

Limited health literacy has been shown to be detrimental on health outcomes and the health care system, such as high rates of mortality and health care costs. A disability has been diagnosed in more than 19% of the US population, but the health literacy status of these individuals has yet to be adequately assessed.

OBJECTIVE

To examine the health literacy concerns of a nationally representative sample of individuals with disabilities.

METHODS

Data analysis using the Health Information National Trends Survey, a nationally representative survey sponsored by the National Cancer Institute. Descriptive analyses and χ² tests were conducted to examine the association between sociodemographics, disability status, and health literacy concerns. A weighted logistic regression model was performed to explore associations between disability status and each health literacy concern, controlling for sociodemographics.

RESULTS

Results show 2 areas of concern for individuals with disabilities compared with those who did not report a disability: The effort to find needed information and being frustrated during the search for information. There was no difference detected between individuals with and without disabilities regarding being concerned about the quality of information found and believing that the information found was hard to understand.

DISCUSSION

These findings do not support the notion that individuals with disabilities are more likely to experience health literacy difficulties than individuals without disabilities. However, accurately assessing and improving health literacy for the diverse group of individuals with disabilities requires tailored approaches and further attention.

CONCLUSION

Precise assessment of health literacy and disabilities is necessary to identify and address the unique concerns of this population.

Food Label Literacy and Use among US Adults Diagnosed with Cancer: Results from a National Representative Study

For those diagnosed with cancer, lifestyle factors including diet can be more important than ever. However, lack of nutrition-related knowledge can pose a significant barrier to healthy eating. Food labels guide consumers in selecting appropriate portion sizes-that is, caloric content-and ensuring adequate intake of nutrients. Data from the 2013-2014 HINTS were used to examine (a) differences in food label use and food label literacy between respondents ever had a cancer diagnosis and those never had a diagnosis; (b) sociodemographic correlates and health-related correlates of food label use and literacy, in a context of cancer diagnosis; and (c) potential association between food label use/literacy and each of two dietary choices, eating vegetables and fruits and limiting intake of sugary drinks, again, in a context of cancer diagnosis. Data was analyzed via SPSS version 24.0, and cross tabulations using Pearson's Chi-square test and logistic regressions. Income, gender and non-participation in support groups were associated with food label literacy (p<.05). Confidence to take care of self was associated with food label use (p<.05). Relationships were observed between using food labels and curtailing soda intake (b = -.368, p<.05), eating relatively more fruits (b = .558, p<.05), and eating relatively more vegetables (b = .558, p<.05). The overall models predicting consumption of soda [x2 (2) = 13.70, p = .001, Nagelkerke R-square = .059], of fruits [x2 (2) = 33.87, p < .001, Nagelkerke R-square = .136], and of vegetables [x2 (2) = 36.08, p < .001, Nagelkerke R-square = .144] was statistically significant. Implications for research and practice can be found in results linking food label use to better quality diets. They include the usefulness of nutrition education interventions targeting lower-income men with cancer diagnoses; one lesson should be the use of food labels.

Online Health Information Seeking Among US Adults: Measuring Progress Toward a Healthy People 2020 Objective

OBJECTIVE

During the past decade, the availability of health information online has increased dramatically. We assessed progress toward the Healthy People 2020 (HP2020) health communication and health information technology objective of increasing the proportion of health information seekers who easily access health information online.

METHODS

We used data from 4 administrations of the Health Information National Trends Survey (HINTS 2008-2017) (N = 18 103). We conducted multivariable logistic regression analysis to evaluate trends over time in experiences with accessing health information and to examine differences by sociodemographic variables (sex, age, race/ethnicity, education, income, metropolitan status) separately for those who used the internet (vs other information sources) during their most recent search for health information.

RESULTS

Among US adults who looked for health information and used the internet for their most recent search, the percentage who reported accessing health information without frustration was stable during the study period (from 37.2% in 2008 to 38.5% in 2017). Accessing information online without frustration was significantly and independently associated with age 35-49 (vs age 18-34) (odds ratio [OR] = 1.34; 95% confidence interval [CI], 1.03 -1.73), non-Hispanic black (vs non-Hispanic white) race/ethnicity (OR = 2.15; 95% CI, 1.55-2.97), and annual household income <$20 000 (vs >$75 000) (OR = 0.66; 95% CI, 0.47-0.93). The percentage of adults who used an information source other than the internet and reported accessing health information online without frustration ranged from 31.3% in 2008 to 42.7% in 2017. Survey year 2017 (vs 2008) (OR = 1.61; 95% CI, 1.09-2.35) and high school graduate education (vs college graduate) (OR = 0.69; 95% CI, 0.49-0.97) were significantly and independently associated with accessing health information without frustration from sources other than the internet.

CONCLUSIONS

The percentage of online health information seekers reporting easily accessing health information did not meet the HP2020 objective. Continued efforts are needed to enable easy access to online health information among diverse populations.

Tracking Healthy People 2020 Internet, Broadband, and Mobile Device Access Goals: An Update Using Data From the Health Information National Trends Survey

Background

As the year 2020 approaches, there is a need to evaluate progress toward the United States government’s Healthy People 2020 (HP2020) health information technology and communication objectives to establish baselines upon which Healthy People 2030 objectives can be based.

Objective

The aim of this study was to use the National Cancer Institute’s (NCI) Health Information National Trends Survey (HINTS) to benchmark progress toward HP2020 goals related to increasing internet access using broadband, and to assess the state of the digital divide for various sociodemographic groups.

Methods

We merged and analyzed data from 8 administrations of HINTS (2003-2017). Descriptive statistics were generated, and predicted marginals were calculated using interaction terms between survey year and selected sociodemographic variables of interest, including age, sex, race and ethnicity, income, education, and geography (rural versus urban), to test for differential change over time.

Results

The number of users having access to the internet increased between 2003 and 2014 (63.15% [3982/6358] to 83.41% [2802/3629]); it remained relatively steady from 2014 to 2017 (81.15% [2533/3283]). Broadband access increased between 2003 and 2011 (from 32.83% [1031/3352] to 77.87% [3375/4405]), but has been declining since (55.93% [1364/2487] in 2017). Access via cellular network increased between 2008 and 2017 (from 6.86% [240/4405] to 65.43% [1436/2489]). Statistically significant disparities in overall internet access were noted in the predicted marginals for age, sex, race and ethnicity, income, and education; for age, sex, income, and geography for broadband access; and for age and sex for cellular network.

Conclusions

The targets set forth in HP2020 were met for overall internet access and for internet access via cellular network; however, the target was not met for internet access via broadband. Furthermore, although the digital divide persisted by sociodemographic characteristics, the magnitude of many disparities in access decreased over time.

Perceived Patient-Provider Communication Quality and Sociodemographic Factors Associated With Watching Health-Related Videos on YouTube: A Cross-Sectional Analysis

BACKGROUND

Approximately 73% of US adults use YouTube, making it the most popular social media platform. Misinformation on social media is a growing concern; recent studies show a high proportion of misinformative health-related videos. Several studies on patient-provider communication and general health information seeking have been conducted. However, few studies to date have examined the potential association between patient-provider communication and health information seeking on specific social media platforms such as YouTube. A better understanding of this relationship may inform future health communication interventions.

OBJECTIVE

The aim was to use nationally representative cross-sectional data to describe the association between perceived patient-provider communication quality and sociodemographic factors on watching YouTube health-related videos.

METHODS

Data from the 2018 Health Information National Trends Survey were analyzed (N=3504). The primary outcome was whether participants watched a health-related video on YouTube over the past 12 months. A patient-provider communication composite score was created by summing responses about how often providers did the following: (1) gave you the chance to ask all the health-related questions you had, (2) gave attention to your feelings, (3) involved you in health care decisions as much as you wanted, (4) made sure that you understood the things you needed to do to take care of your health, (5) explained things in a way that you could understand, (6) spent enough time with you, and (7) helped you deal with feelings of uncertainty. Sociodemographic factors included age, gender, race/ethnicity, and education. Descriptive statistics and multivariable logistic regression were conducted.

RESULTS

Approximately 1067 (35% weighted prevalence) participants reported watching a health-related video on YouTube. Higher perceived quality of patient-provider communication on the composite score was significantly associated with lower odds of watching health-related videos on YouTube. Regarding sociodemographic factors, increasing age and being a high school graduate (compared with college graduate) were associated with lower odds of watching health-related videos on YouTube; whereas, Hispanic and non-Hispanic Asians were more likely to have watched a health-related video on YouTube. For individual aspects of patient-physician communication, two of seven patient-provider communication variables were significant. Those who reported that providers "sometimes" spent enough time with them had higher odds of watching a health-related video on YouTube, compared with those who said providers "always" spent enough time with them. Participants reporting that they "never" have a chance to ask all their health-related questions also had higher odds of watching health-related videos on YouTube compared with those who reported "always."

CONCLUSIONS

Higher perceived quality of patient-provider communication is associated with lower odds of watching health-related videos on YouTube. When providers do not spend enough time or give an opportunity to ask questions, patients are more likely to pursue health information on social media.

Patient-provider communication quality for persons with disabilities: A cross-sectional analysis of the Health Information National Trends Survey

BACKGROUND

It is unclear how perceived patient-provider communication quality (PPPCQ) varies according to disability status. Lack of adequate patient-provider communication may prevent providers from considering healthcare issues that are relevant and important to persons with disabilities (PWD), potentially contributing to poorer health outcomes.

OBJECTIVE/HYPOTHESIS

To examine PPPCQ by disability status using current U.S. Department of Health and Human Services standards for surveillance of functional disabilities.

METHODS

This cross-sectional study used nationally-representative data from the 2012-2013 Health Information National Trends Survey (HINTS). Participants were categorized as having any disability (hearing, vision, mobility, cognitive, self-care, and/or independent living limitations). PPPCQ was assessed using seven HINTS questions about communication with healthcare professionals. Linear regression was used to estimate mean differences in composite PPPCQ scores, and logistic regression was used to estimate odds ratios (OR) for a provider "always or usually" performing PPPCQ.

RESULTS

The study population comprised 5301 participants, representing 180,442,731 U.S. adults. Overall, 22.1% (weighted) reported any disability. Adjusted mean PPPCQ scores were significantly lower for PWD (72.8, 95% CI: 68.2-77.4) than persons without disability (78.3, 95% CI: 76.5-80.2), p = 0.021. More specifically, PWD were significantly less likely to be given attention needed to address feelings and emotions (OR = 0.6, 95% CI: 0.4, 0.9, p = 0.017), to have next steps understood (OR = 0.4, 95% CI: 0.2, 0.8, p = 0.019), and to receive a clear explanation (OR = 0.3, 95% CI: 0.1, 0.8, p = 0.018).

CONCLUSIONS

PWD are less likely to report key elements of effective patient-provider communication. Implementing patient-centered care may improve patient-provider communication for this vulnerable population.

Changing Perceptions of Harm of e-Cigarette vs Cigarette Use Among Adults in 2 US National Surveys From 2012 to 2017

IMPORTANCE

Debate is ongoing about whether the scientific evidence of the health risks of electronic cigarettes (e-cigarettes) compared with combustible cigarettes (hereinafter referred to as cigarettes) has been accurately communicated to the public. Large representative surveys are needed to examine how the public perceives the health risk of e-cigarettes and how their perceptions change over time.

OBJECTIVE

To examine how US adults perceived the harm of e-cigarettes relative to cigarettes and how their perception has changed from 2012 to 2017.

DESIGN, SETTING, AND PARTICIPANTS

Survey study using data from 2 multiyear cross-sectional nationally representative surveys-the Tobacco Products and Risk Perceptions Surveys (TPRPS) and the Health Information National Trends Surveys (HINTS)-to assess perceived harm of e-cigarettes relative to cigarettes among US adults in 2012, 2014, 2015, 2016, and 2017. Respondents were selected via address-based sampling or random-digit dialing and consisted of adults 18 years or older. Analyses were conducted from February through April 2018.

MAIN OUTCOMES AND MEASURES

Self-reported perceived harm of e-cigarettes relative to cigarettes.

RESULTS

The analytical samples of TPRPS consisted of 2800 adults in 2012 (cumulative response rate, 7.3%), 5668 in 2014 (cumulative response rate, 6.6%), 5372 in 2015 (cumulative response rate, 6.8%), 5245 in 2016 (cumulative response rate, 6.4%), and 5357 in 2017 (cumulative response rate, 5.8%). The analytical samples of HINTS consisted of 2609 adults in 2012 (response rate, 39.9%), 3301 in 2014 (response rate, 34.4%), 2224 in 2015 (response rate, 33.0%), and 2683 in 2017 (response rate, 32.4%). The proportion of adults who perceived e-cigarettes as less harmful than cigarettes decreased from 39.4% (95% CI, 36.9%-41.9%) in 2012 to 33.9% (95% CI, 32.7%-35.2%) in 2017 in TPRPS and decreased from 50.7% (95% CI, 48.8%-52.7%) in 2012 to 34.5% (95% CI, 32.7%-36.3%) in 2017 in HINTS. During the same period, the proportion of adults who perceived e-cigarettes to be as harmful as cigarettes increased from 11.5% (95% CI, 10.0%-13.2%) in 2012 to 36.4% (95% CI, 35.1%-37.7%) in 2017 (TPRPS) and from 46.4% (95% CI, 44.5%-48.3%) in 2012 to 55.6% (95% CI, 53.7%-57.5%) in 2017 (HINTS). Those who perceived e-cigarettes to be more harmful than cigarettes increased from 1.3% (95% CI, 0.8%-2.2%) in 2012 to 4.3% (95% CI, 3.8%-4.9%) in 2017 (TPRPS) and from 2.8% (95% CI, 2.2%-3.5%) in 2012 to 9.9% (95% CI, 8.8%-11.1%) in 2017 (HINTS).

CONCLUSIONS AND RELEVANCE

In this study, the proportion of US adults who perceived e-cigarettes to be as harmful as or more harmful than cigarettes increased substantially from 2012 to 2017. The findings of this study underscore the urgent need to accurately communicate the risks of e-cigarettes to the public, which should clearly differentiate the absolute from the relative harms of e-cigarettes.

Population Health Assessment in NCI-Designated Cancer Center Catchment Areas

In May 2016, the NCI announced supplemental funding for NCI-Designated Cancer Centers to conduct research to better characterize populations within cancer center catchment areas. The initiative was intended to support primary data collection efforts to better define and describe cancer center catchment areas using a multilevel population health framework. The long-term goal was to facilitate collaborations in which researchers, providers, public health practitioners, and nonprofit organizations could utilize the data to develop or expand applied cancer control research, planning, and implementation, with an emphasis on local health disparities and communication inequalities. This CEBP Focus issue on "Population Health Assessment in Cancer Center Catchment Areas" highlights the results from those catchment area data collection efforts. Articles highlight research from surveys conducted to define and describe cancer center catchment areas using both probability and nonprobability designs and a variety of sampling techniques, survey modes, and data linkages. Some articles report pooled analyses of data collected by multiple cancer centers to highlight local versus national comparisons based on standardized behavioral and demographic measures. Others examine rural-urban differences in measures relevant to cancer prevention and control. The studies published in this Focus will provide the field with a myriad of methodologic approaches for defining and describing cancer center catchment areas.

Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study

Background

Mobile phone and tablet ownership have increased in the United States over the last decade, contributing to the growing use of mobile health (mHealth) interventions to help patients manage chronic health conditions like diabetes. However, few studies have characterized mobile device ownership and the presence of health-related apps on mobile devices in people with a self-reported history of hypertension.

Objective

This study aimed to describe the prevalence of smartphone, tablet, and basic mobile phone ownership and the presence of health apps by sociodemographic factors and self-reported hypertension status (ie, history) in a nationally representative sample of US adults, and to describe whether mobile devices are associated with health goal achievement, medical decision making, and patient-provider communication.

Methods

Data from 3285 respondents from the 2017 Health Information National Trends Survey were analyzed. Participants were asked if they owned a smartphone, tablet, or basic mobile phone and if they had health apps on a smartphone or tablet. Participants were also asked if their smartphones or tablets helped them achieve a health-related goal like losing weight, make a decision about how to treat an illness, or talk with their health care providers. Chi-square analyses were conducted to test for differences in mobile device ownership, health app presence, and app helpfulness by patient characteristics.

Results

Approximately 1460 (37.6% weighted prevalence) participants reported a history of hypertension. Tablet and smartphone ownership were lower in participants with a history of hypertension than in those without a history of hypertension (55% vs 66%, P=.001, and 86% vs 68%, P<.001, respectively). Participants with a history of hypertension were more likely to own a basic mobile phone only as compared to those without a history of hypertension (16% vs 9%, P<.001). Among those with a history of hypertension exclusively, basic mobile phone, smartphone, and tablet ownership were associated with age and education, but not race or sex. Older adults were more likely to report having a basic mobile phone only, whereas those with higher education were more likely to report owning a tablet or smartphone. Compared to those without a history of hypertension, participants with a history of hypertension were less likely to have health-related apps on their smartphones or tablets (45% vs 30%, P<.001) and report that mobile devices helped them achieve a health-related goal (72% vs 63%, P=.01).

Conclusions

Despite the increasing use of smartphones, tablets, and health-related apps, these tools are used less among people with a self-reported history of hypertension. To reach the widest cross-section of patients, a mix of novel mHealth interventions and traditional health communication strategies (eg, print, web based, and in person) are needed to support the diverse needs of people with a history of hypertension.

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey

BACKGROUND

Emerging health technologies are increasingly being used in health care for communication, data collection, patient monitoring, education, and facilitating adherence to chronic disease management. However, there is a lack of studies on differences in the preference for using information exchange technologies between patients with chronic and nonchronic diseases and factors affecting these differences.

OBJECTIVE

The purpose of this paper is to understand the preferences and use of information technology for information exchange among a nationally representative sample of adults with and without 3 chronic disease conditions (ie, cardiovascular disease [CVD], diabetes, and hypertension) and to assess whether these preferences differ according to varying demographic variables.

METHODS

We utilized data from the 2012 and 2014 iteration of the Health Information National Trends Survey (N=7307). We used multiple logistic regressions, adjusting for relevant demographic covariates, to identify the independent factors associated with lower odds of using health information technology (HIT), thus, identifying targets for awareness. Analyses were weighted for the US population and adjusted for the sociodemographic variables of age, gender, race, and US census region.

RESULTS

Of 7307 participants, 3529 reported CVD, diabetes, or hypertension. In the unadjusted models, individuals with diabetes, CVD, or hypertension were more likely to report using email to exchange medical information with their provider and less likely to not use any of the technology in health information exchange, as well as more likely to say it was not important for them to access personal medical information electronically. In the unadjusted model, additional significant odds ratio (OR) values were observed. However, after adjustment, most relationships regarding the use and interest in exchanging information with the provider were no longer significant. In the adjusted model, individuals with CVD, diabetes, or hypertension were more likely to access Web-based personal health information through a website or app. Furthermore, we assessed adjusted ORs for demographic variables. Those aged >65 years and Hispanic people were more likely to report no use of email to exchange medical information with their provider. Minorities (Hispanic, non-Hispanic black, and Asian people) were less likely to indicate they had no interest in exchanging general health tips with a provider electronically.

CONCLUSIONS

The analysis did not show any significant association among those with comorbidities and their proclivity toward health information, possibly implying that HIT-related interventions, particularly design of information technologies, should focus more on demographic factors, including race, age, and region, than on comorbidities or chronic disease status to increase the likelihood of use. Future research is needed to understand and explore more patient-friendly use and design of information technologies, which can be utilized by diverse age, race, and education or health literacy groups efficiently to further bridge the patient-provider communication gap.

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

BACKGROUND/AIMS

Public understanding of the role of genetics in disease risk is key to appropriate disease prevention and detection. This study assessed the current extent of awareness and use of genetic testing in the US population. Additionally, the study identified characteristics of subgroups more likely to be at risk for low genetic literacy.

METHODS

The study used data from the National Cancer Institute's 2017 Health Information National Trends Survey, including measures of genetic testing awareness, genetic testing applications and genetic testing usage. Multivariable logistic regression models estimated associations between sociodemographics, genetic testing awareness, and genetic testing use.

RESULTS

Fifty-seven percent of respondents were aware of genetic tests. Testing awareness differed by age, household income, and race/ethnicity. Most participants had heard of using tests to determine personal disease risk (82.58%) or inherited disease risk in children (81.41%), but less were familiar with determining treatment (38.29%) or drug efficacy (40.76%). Among those with genetic testing awareness, actual testing uptake was low.

CONCLUSIONS

A large portion of the general public lacks genetic testing awareness and may benefit from educational campaigns. As precision medicine expands, increasing public awareness about genetic testing applications for disease prevention and treatment will be important to support population health.

Beliefs About Behavioral Determinants of Obesity in Appalachia, 2011-2014

The populations of many Appalachian communities have high rates of unhealthy body weight. This study aimed to identify differences in beliefs about obesity between Appalachians and non-Appalachians. Our analyses explored health beliefs and behaviors among US adults aged ≥18 (n = 14 451) who responded to the Health Information National Trends Survey (2011-2014), of whom 1015 (8%) resided within the 420 counties recognized as Appalachian by the Appalachian Regional Commission. Using weighted regression analyses and controlling for sociodemographic characteristics and general health, we determined that self-reported body mass index was higher among Appalachians than among non-Appalachians ( B = 0.75, P = .03, 95% confidence interval, 0.08-1.47) and that Appalachians were less likely than non-Appalachians to believe that lifestyle factors were related to obesity ( B = -0.37, P = .03, 95% confidence interval, -0.04 to -0.71). Results suggest that Appalachians may regard behavioral prevention differently from non-Appalachians, perhaps with less confidence in the effectiveness of certain behaviors to reduce obesity risk. Future research may determine whether such beliefs could complicate efforts to encourage healthy lifestyles throughout the region.