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

[This corrects the article DOI: 10.2196/13300.].

Correction: Access to Electronic Personal Health Records Among Patients With Multiple Chronic Conditions: A Secondary Data Analysis.

[This corrects the article DOI: .].

Designing a Framework for Remote Cancer Care Through Community Co-design: Participatory Development Study.

BACKGROUND: Recent shifts to telemedicine and remote patient monitoring demonstrate the potential for new technology to transform health systems; yet, methods to design for inclusion and resilience are lacking. OBJECTIVE: The aim of this study is to design and implement a participatory framework to produce effective health care solutions through co-design with diverse stakeholders. METHODS: We developed a design framework to cocreate solutions to locally prioritized health and communication problems focused on cancer care. The framework is premised on the framing and discovery of problems through community engagement and lead-user innovation with the hypothesis that diversity and inclusion in the co-design process generate more innovative and resilient solutions. Discovery, design, and development were implemented through structured phases with design studios at various locations in urban and rural Kentucky, including Appalachia, each building from prior work. In the final design studio, working prototypes were developed and tested. Outputs were assessed using the System Usability Scale as well as semistructured user feedback. RESULTS: We co-designed, developed, and tested a mobile app (myPath) and service model for distress surveillance and cancer care coordination following the LAUNCH (Linking and Amplifying User-Centered Networks through Connected Health) framework. The problem of awareness, navigation, and communication through cancer care was selected by the community after framing areas for opportunity based on significant geographic disparities in cancer and health burden resource and broadband access. The codeveloped digital myPath app showed the highest perceived combined usability (mean 81.9, SD 15.2) compared with the current gold standard of distress management for patients with cancer, the paper-based National Comprehensive Cancer Network Distress Thermometer (mean 74.2, SD 15.8). Testing of the System Usability Scale subscales showed that the myPath app had significantly better usability than the paper Distress Thermometer (t63=2.611; P=.01), whereas learnability did not differ between the instruments (t63=-0.311; P=.76). Notable differences by patient and provider scoring and feedback were found. CONCLUSIONS: Participatory problem definition and community-based co-design, design-with methods, may produce more acceptable and effective solutions than traditional design-for approaches.

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

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.

Perceptions of cancer as a death sentence: Tracking trends in public perceptions from 2008 to 2017.

OBJECTIVE: There has been steady progress in reducing cancer mortality in the United States; however, this progress hasn't been evenly distributed across regions. This paper assesses trends in cancer mortality salience (CMS), that is, agreeing that getting cancer is a death sentence, over time in the United States and examines correlates of CMS. METHODS: Data from three administrations of the Health Information National Trends Survey (HINTS), gathered in 2008, 2013, and 2017, were merged, resulting in a total sample of 10,063 respondents. Trends in changes in CMS over time were examined as well as maps of the distribution of CMS in the United States. A logistic regression model was conducted, regressing CMS on a set of sociodemographic, psychological, health-related, and environmental predictors. RESULTS: The aggregated percentage of US adults who agreed with the CMS statement changed over time and was modified by age. Geographic distribution of agreement with CMS was inconsistent across the United States. In the adjusted logistic model, perceived health (worse health), cancer prevention, fatalism, and confusion, and cancer status (no cancer) were all significantly associated with CMS. There was also a significant interaction between survey year and age. CONCLUSION: Despite recent information that cancer mortality rates are decreasing, most US adults still see cancer as a death sentence and this is especially an issue in certain subgroups. These findings have ramifications for groups of people who may be at risk for developing cancer given their attitudes and beliefs that there isn't much they can do to prevent or control it.

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.

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.

Addressing Rural Geographic Disparities Through Health IT: Initial Findings From the Health Information National Trends Survey.

BACKGROUND: Rural communities experience disparate rates of chronic diseases and face distinct challenges in gaining access to health care. Increasing the reach of the US health information and communication technology infrastructure can support rural health by overcoming geographic and temporal health care barriers. OBJECTIVES: The goal of the study is to establish statistically valid point estimates for the use of health information technology within rural versus urban populations, and to understand the degree to which structural factors may account for the overall variance in the use of these technologies. METHODS: Data from the National Cancer Institute's 2017 Health Information National Trends Survey were used to estimate prevalence of Health IT engagement across rural and urban populations and model factors influencing use of online medical records. RESULTS: Rural residents reported similar rates of providers maintaining electronic health records and offering access to online medical records. However, rural residents with provider-maintained records were less likely to receive a provider recommendation to use online medical records and were subsequently less likely to actually access records. Observed differences in online medical record use were accounted for by variance in Internet access, access to a regular health care provider, and whether providers encouraged patients to use online records. CONCLUSIONS: Findings shed light on structural opportunities for overcoming geographic and temporal barriers to Health IT and extending the benefits of digital health information technologies to underserved 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.

Moving beyond static survivorship care plans: A systems engineering approach to population health management for cancer survivors.

The American cancer survivor population is ever-growing, with necessary follow-up primarily accomplished in a high-touch fashion-adding to unsustainability and fragmentation of care. Given the complexities of the health care system processes needed to support survivorship, engineering approaches may best address performance deficits and facilitate the provision of patient-centered care. Such collaboration between health care and engineering is recommended for redesigning health care delivery systems. By using Systems Engineering Initiative for Patient Safety (SEIPS), a systems engineering model widely used to improve health care quality and delivery, the authors examine the work system to identify the barriers and facilitators to necessary care in the presence of a survivorship care plan and visit. Recommendations for future improvement include ensuring that care-planning processes are dynamic, clearly assigned, resilient, and integrated with electronic health record systems.

Electronic Health Information Exchange Opportunities for Self-management of Care: Responses from Older Adults With and Without Cancer History in the United States.

PURPOSE OF STUDY: Of 15.5 million US cancer survivors, 80% are ≥ 55 years. Supporting older patients in care self-management through electronic health information (EHI) exchange may enhance recovery. We assessed: (1) perceived importance of EHI access to adults ≥ 55 years (incl survivors) and (2) age-related preferences for EHI exchange. RECENT FINDINGS: Older adults are one of the fastest-growing user groups for internet/technologies. Most older adults 55-64 years are active internet users, and use among adults ≥ 65 years is growing quickly as baby boomers mature. Understanding EHI patient-provider exchange preferences may provide opportunities for older patients but also begin to address the future needs of other patient populations, including cancer survivors. We observed a "digital divide" for perceived importance of EHI access and EHI exchange interests. Engaging older adults (i.e., ≥ 75 years) to improve comfort/experience with technologies may support EHI use in self-management. Survivors may have distinct EHI needs/preferences than older adults without cancer history.

Growth Dynamics of Patient-Provider Internet Communication: Trend Analysis Using the Health Information National Trends Survey (2003 to 2013).

BACKGROUND: Communication is key in chronic disease management, and the internet has altered the manner in which patients and providers can exchange information. Adoption of secure messaging differs among patients due to the digital divide that keeps some populations from having effective access to online resources. OBJECTIVE: This study aimed to examine the current state of online patient-provider communication, exploring trends over time in the use of online patient-provider communication tools. METHODS: A 3-part analytic process was used to study the following: (1) reanalysis, (2) close replication across years, and (3) trend analysis extension. During the reanalysis stage, the publicly available Health Information National Trends Survey (HINTS) 1 and 2 data were used with the goal of identifying the precise analytic methodology used in a prior study, published in 2007. The original analysis was extended to add 3 additional data years (ie, 2008, 2011, and 2013) using the original analytical approach with the purpose of identifying trends over time. Multivariate logistic regression was used to analyze pooled data across all years, with year as an added predictor, in addition to a model for each individual data year. RESULTS: The odds of internet users to communicate online with health care providers was significantly and increasingly higher year-over-year, starting in 2003 (2005: odds ratio [OR] 1.31, 95% CI 1.03-1.68; 2008: OR 2.14, 95% CI 1.76-2.59; 2011: OR 2.92, 95% CI 2.33-3.66; and 2013: OR 5.77; 95% CI 4.62-7.20). Statistically significant socio-economic factors found to be associated with internet users communicating online with providers included age, having health insurance, having a history of cancer, and living in an urban area of residence. CONCLUSIONS: The proportion of internet users communicating online with their health care providers has significantly increased since 2003. Although these trends are encouraging, access challenges still exist for some groups, potentially giving rise to a new set of health disparities related to communication.

A Research Agenda for Communication Scholars in the Precision Medicine Era.

The 2015 announcement of the Precision Medicine Initiative (PMI) galvanized and energized efforts to reconsider medical practice through tailoring of prevention and treatment recommendations based on genetics, environment, and lifestyle. Numerous disciplines contributed white papers identifying challenges associated with PMI and calling for discipline-specific research that might provide solutions to such challenges. Throughout these white papers, the prominence of communication in achieving the PMI's goals is obviously apparent. In this article, we highlight opportunities for communication scholars' contributions to the PMI based on challenges identified in white papers from other disciplines and work already conducted by research teams in the field of communication.

A Nonresponse Bias Analysis of the Health Information National Trends Survey (HINTS).

We conducted a nonresponse bias analysis of the Health Information National Trends Survey (HINTS) 4, Cycles 1 and 3, collected in 2011 and 2013, respectively, using three analysis methods: comparison of response rates for subgroups, comparison of estimates with weighting adjustments and external benchmarks, and level-of-effort analysis. Areas with higher concentrations of low socioeconomic status, higher concentrations of young households, and higher concentrations of minority and Hispanic populations had lower response rates. Estimates of health information seeking behavior were higher in HINTS compared to the National Health Interview Survey (NHIS). The HINTS estimate of doctors always explaining things in a way that the patient understands was not significantly different from the same estimate from the Medical Expenditure Panel Survey (MEPS); however, the HINTS estimate of health professionals always spending enough time with the patient was significantly lower than the same estimate from MEPS. A level-of-effort analysis found that those who respond later in the survey field period were less likely to have looked for information about health in the past 12 months, but found only small differences between early and late respondents for the majority of estimates examined. There is some evidence that estimates from HINTS could be biased toward finding higher levels of health information seeking.

Access to Electronic Personal Health Records Among Patients With Multiple Chronic Conditions: A Secondary Data Analysis.

BACKGROUND: In the United States, national incentives for offering access to electronic personal health records (ePHRs) through electronic means are geared toward creating a culture of patient engagement. One group of patients who stand to benefit from online access to ePHRs is the growing population with multiple chronic conditions (MCC). However, little is known about the current availability and use of ePHRs and patient portals among those managing MCC. OBJECTIVE: The aim was to determine the associations between number of chronic conditions and sociodemographic characteristics and usage of ePHRs, and to assess how the public's use of ePHRs varies across subpopulations, including those with MCC. METHODS: This study used data collected from the 2014 Health Information National Trends Survey (HINTS), and assessed differences in use of ePHRs between those with and without MCC (N=3497) using multiple logistic regression techniques. Variables associated with health care systems (insurance status, having a regular provider) and patient-reported self-efficacy were included in the statistical models. RESULTS: Those with MCC (n=1555) had significantly higher odds of accessing their records three or more times in the past year compared to those reporting no chronic conditions (n=1050; OR 2.46, 95% CI 1.37-4.45), but the overall percentage of those with MCC using ePHRs remained low (371 of 1529 item respondents, 25.63% weighted). No difference in odds of accessing their records was found between those reporting one chronic condition (n=892) and those reporting none (n=1050; OR 1.02, 95% CI 0.66-1.58). Significant differences in odds of accessing ePHRs were seen between income and age groups (P<.001 and P=.05, respectively), and by whether respondents had a regular provider (P=.03). CONCLUSIONS: We conclude that ePHRs provide a unique opportunity to enhance MCC patient self-management, but additional effort is needed to ensure that these patients are able to access their ePHRs. An increase in availability of patient access to their ePHRs may provide an opportunity to increase patient engagement and support self-management for all patients and especially those with MCC.

Rationale, Procedures, and Response Rates for the 2015 Administration of NCI's Health Information National Trends Survey: HINTS-FDA 2015.

The National Cancer Institute (NCI) developed the Health Information National Trends Survey (HINTS) to monitor population trends in cancer communication practices, information preferences, health risk behaviors, attitudes, and cancer knowledge. The U.S. Food and Drug Administration (FDA) recognized HINTS as a unique data resource for informing its health communication endeavors and partnered with NCI to field HINTS-FDA 2015. HINTS-FDA 2015 was a self-administered paper instrument sent by mail May 29 to September 8, 2015, using a random probability-based sample of U.S. postal addresses stratified by county-level smoking rates, with an oversampling of high and medium-high smoking strata to increase the yield of current smokers responding to the survey. The response rate for HINTS-FDA 2015 was 33% (N = 3,738). The yield of current smokers (n = 495) was lower than expected, but the sampling strategy achieved the goal of obtaining more former smokers (n = 1,132). Public-use HINTS-FDA 2015 data and supporting documentation have been available for download and secondary data analyses since June 2016 at http://hints.cancer.gov . NCI and FDA encourage the use of HINTS-FDA for health communication research and practice related to tobacco-related communications, public knowledge, and behaviors as well as beliefs and actions related to medical products and dietary supplements.

Personal Health Record Use in the United States: Forecasting Future Adoption Levels.

BACKGROUND: Personal health records (PHRs) offer a tremendous opportunity to generate consumer support in pursing the triple aim of reducing costs, increasing access, and improving care quality. Moreover, surveys in the United States indicate that consumers want Web-based access to their medical records. However, concerns that consumers' low health information literacy levels and physicians' resistance to sharing notes will limit PHRs' utility to a relatively small portion of the population have reduced both the product innovation and policy imperatives. OBJECTIVE: The purpose of our study was 3-fold: first, to report on US consumers' current level of PHR activity; second, to describe the roles of imitation and innovation influence factors in determining PHR adoption rates; and third, to forecast future PHR diffusion uptake among US consumers under 3 scenarios. METHODS: We used secondary data from the Health Information National Trends Survey (HINTS) of US citizens for the survey years 2008, 2011, and 2013. Applying technology diffusion theory and Bass modeling, we evaluated 3 future PHR adoption scenarios by varying the introduction dates. RESULTS: All models displayed the characteristic diffusion S-curve indicating that the PHR technology is likely to achieve significant market penetration ahead of meaningful use goals. The best-performing model indicates that PHR adoption will exceed 75% by 2020. Therefore, the meaningful use program targets for PHR adoption are below the rates likely to occur without an intervention. CONCLUSIONS: The promise of improved care quality and cost savings through better consumer engagement prompted the US Institute of Medicine to call for universal PHR adoption in 1999. The PHR products available as of 2014 are likely to meet and exceed meaningful use stage 3 targets before 2020 without any incentive. Therefore, more ambitious uptake and functionality availability should be incorporated into future goals.

Cancer-Related Information Seeking Among Cancer Survivors: Trends Over a Decade (2003-2013).

The demonstrated benefits of information seeking for cancer patients, coupled with increases in information availability, underscore the importance of monitoring patient information seeking experiences over time. We compared information seeking among cancer survivors to those with a family history of cancer and those with no history of cancer. We identified characteristics associated with greater information seeking among cancer survivors, key sources of cancer-related information, and changes in information source use over time. Data from five iterations of the Health Information National Trends Survey (HINTS) spanning 2003 to 2013 were merged and analyzed. Frequencies, cross-tabulations, multivariate logistic regression, and multinomial regression analyses were conducted. All data were weighted to provide representative estimates of the adult US population. Cancer information seeking was reported most frequently by cancer survivors (69.8 %). The percentage of cancer survivors who reported information seeking increased from 66.8 % in 2003 to 80.8 % in 2013. Cancer information seeking was independently associated with age, education, and income; seeking was less likely among older adults, those with less education, and those with lower incomes. Compared to respondents in 2003, those in 2005 (odds ratio (OR) = 0.40, 95 % confidence interval (CI) = 0.24-0.65) and 2008 (OR = .43, 95 % CI = 0.26-0.70) were about half as likely to use the Internet as the first source of cancer information compared to a healthcare provider. Despite overall increases in cancer information seeking and access to health information from a variety of sources, healthcare providers remain a key source of health information for cancer survivors.

The Relation Between Having a Usual Source of Care and Ratings of Care Quality: Does Patient-Centered Communication Play a Role?

Having a usual source of health care has been consistently associated with greater use of preventive services, decreased use of emergency services, and with patients' ratings of quality and satisfaction with care. Ongoing patient-provider relationships may be, in part, fostered by patient-centered communication. Growing evidence demonstrates that positive patient-centered communication improves adherence to treatment recommendations, management of chronic disease, quality of life, and disease-related outcomes. We aimed to determine how patient-centered communication between patients and physicians might mediate the relation between having a source of usual care and ratings of health care quality. We analyzed data from Cycle 1 of the fourth iteration of the Health Information National Trends Survey. Data were collected through mailed questionnaire in October 2011 through February 2012 (N = 3,959). Overall, individuals with a usual source of care reported more patient-centered communication experiences and had higher ratings of quality of care. Parameter estimates for each pathway in the mediation model were estimated through regression analysis. Results confirm the importance of patient-centered communication in shaping patients' perceptions of the quality of their care, accounting for a significant portion of the observed relation between having a usual source of care and ratings of quality.

From Big Data to Knowledge in the Social Sciences.

One of the challenges associated with high-volume, diverse datasets is whether synthesis of open data streams can translate into actionable knowledge. Recognizing that challenge and other issues related to these types of data, the National Institutes of Health developed the Big Data to Knowledge or BD2K initiative. The concept of translating "big data to knowledge" is important to the social and behavioral sciences in several respects. First, a general shift to data-intensive science will exert an influence on all scientific disciplines, but particularly on the behavioral and social sciences given the wealth of behavior and related constructs captured by big data sources. Second, science is itself a social enterprise; by applying principles from the social sciences to the conduct of research, it should be possible to ameliorate some of the systemic problems that plague the scientific enterprise in the age of big data. We explore the feasibility of recalibrating the basic mechanisms of the scientific enterprise so that they are more transparent and cumulative; more integrative and cohesive; and more rapid, relevant, and responsive.