Published on 13.07.17 in Vol 2, No 2 (2017): Jul-Dec
Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use
Type 2 diabetes (T2D) is one of the nation’s leading drivers of disability and health care utilization, with elevated prevalence among individuals with lower education, income, and racial/ethnic minorities. Health information technology (HIT) holds vast potential for helping patients, providers, and payers to address T2D and the skyrocketing rates of chronic illness and associated health care costs. Patient portals to electronic health records (EHRs) serve as a gateway to consumer use of HIT. We found that disparities in portal use portend growing T2D disparities. Little progress has been made in addressing identified barriers to technology adoption, especially among populations with elevated risk of T2D. Patients often lack digital literacy skills and continuous connectivity and fear loss of the relationship with providers. Providers may experience structural disincentives to promoting patient use of HIT and apply hidden biases that inhibit portal use. Health care systems often provide inadequate training to patients and providers in use of HIT, and lack resources devoted to obtaining and optimizing use of data generated by HIT. Lastly, technology-related barriers include inadequate consideration of user perspectives, lack of evidence for patient-focused apps, and lack of features to enable providers and health care systems to readily obtain aggregate data to improve care and facilitate research. After discussing these barriers in detail, we propose possible solutions and areas where further research is needed to ensure that individuals and health care systems obtain the full benefit of the nation’s planned $38 billion HIT investment. A digital inclusion framework sheds new light on barriers posed for patients with social health inequalities. We have determined that partnerships with community organizations focused on digital inclusion could help health systems explore and study new approaches, such as universal screening and referral of patients for digital skills, health literacy, and Internet connectivity.
JMIR Diabetes 2017;2(2):e16
The Promise of Health Information Technology for Type 2 Diabetes Management
More than 29 million adults have type 2 diabetes (T2D), with prevalence elevated among Hispanics (12.8%), blacks (13.2%), and individuals with less than a high school education (13.6%) versus some college (7.8%) and whites (7.6%) . Medication, diet, and physical activity can limit the health consequences of T2D [ , ], but recommended targets for blood sugar, lipids, and blood pressure control are met by only about one-half of those affected [ ].
Responding to federal financial incentives [, ], physicians rapidly adopted electronic health records (EHRs) between 2009 and 2015, making portals available for 65% of patients to view their records [ ]. Serving as persuasive technology [ ], portals offer significant potential for improving medical management of chronic diseases. Portals also open the door to telehealth and to remote monitoring of data from connected devices such as glucose monitors [ ]. Remote glucose monitoring saves California Medicaid $939 yearly per diabetic patient. Nearly every state Medicaid program now covers some telehealth and about one-half reimburse for remote monitoring [ ]. Barriers to technology adoption among populations facing social health inequalities (SHIs) [ ], however, are not being addressed and research is not keeping pace.
Digital Inclusion Perspective on Health Information Technology
MetroHealth System in Cleveland, Ohio, was the nation’s first public hospital to adopt EHRs (1999-2002) . In 2015, MetroHealth received a national award for improving care while returning nearly $8 million on its health information technology (HIT) investment [ ]. Nevertheless, similar to adoption rates reported elsewhere [ - ], only 29.1% (70,835/243,248) of MetroHealth adult patients have logged in to their portal accounts. Use lags for blacks (23.4%) and Hispanics (23.8%) and for those without commercial insurance (39.3%) [ ]. Many patient barriers to portal adoption [ ] are also associated with the digital divide.
Based on engagement with the digital inclusion movement, we offer this Viewpoint to illuminate HIT adoption barriers faced by those with reduced digital skills and health literacy and those who lack always-on smartphones and ample data plans. Digital inclusion refers to “the activities necessary to ensure that all individuals and communities, including the most disadvantaged, have access to and use of information and communication technologies” . We suggest new approaches to addressing HIT-related disparities in hopes of defying the inverse care law [ ].
Patient-Related Barriers to Health Information Technology Adoption
Some leading barriers to adoption among patients include inadequate Internet access, digital skills, and eHealth literacy and concerns about diminution of the relationship with the provider. General technology adoption among SHI populations is a prerequisite for HIT adoption. Differences in residential access to broadband explained 68% of portal use variation among MetroHealth patients . Lack of computer skills and Internet access have been identified by others as barriers to portal use [ - ].
Nationally, census data show that home broadband Internet subscriptions are considerably less prevalent among seniors (67.0%), blacks (69.7%), Hispanics (74.5%), and those with annual income less than $20,000 (48.8%) compared with all households (80.8%) . Smartphone adoption is growing rapidly but gaps remain for those over 65 years (47.1%), with less than high school (50.9%) and high school (62.8%) education, with a disability (51.4%), and living in poverty (60.2%) compared with 74.8% ownership for all individuals age 15 years and older. Ownership among Hispanics (75.8%) slightly exceeds that for whites (74.6%); blacks lag only slightly (70.3%) [ ].
Smartphone access to portals is new and not widespread [, ], but apps are sometimes easier to use than Web-based services. However, mobile Internet is generally slower and more expensive than fixed broadband. Dependency on smartphones for Internet is now seen among 13.9% to 18.5% of SHI groups versus 7.9% of all adults [ ]. About half of smartphone-dependent individuals report needing to disconnect service at times [ ]. Among low-income mobile broadband subscribers, 30% exceed their data caps every month, resulting in service interruption (21%), slowed speeds (24%), or costly fees (27%) [ ]. Data disruptions are especially problematic for enabling patients to address underlying social determinants of health in light of Internet-based job applications, government benefits management, coursework requirements, and the like. Computers offer large screens and keyboards that are easier for typing and searching. Fixed broadband connections are typically fast, secure, and include ample data. However, 59% of nonusers cite cost as the leading barrier to adoption [ ]. Having both mobile and fixed connectivity optimizes convenience and productivity but is an unaffordable luxury to many.
Cellular phones (smart or not) are replacing landlines, especially among adults living in poverty, those younger than 44 years, and Hispanics. Cost-related cellular service interruptions are particularly disruptive to mobile-only households. Portals provide a vital connection with health care providers for those in a state of “dependable instability” of mobile communications .
Some evidence shows benefits from home monitoring of glucose, blood pressure, and weight . However, only 20% of invited participants agreed to join a study in England of telehealth with regular transmission of physiologic information; concerns about operating the technology were an important barrier [ ].
A systematic review of adherence-focused mobile apps found improvements in diabetes-specific clinical outcomes in 11 of 26 randomized trials . Use of health-related smartphone apps is prevalent although user characteristics are inconsistent across surveys [ , ]. Portal adoption is strongly predicted by eHealth literacy [ , , ], the ability to obtain and use health information from digital devices [ , ]. More common among those age 65 years and older, blacks and Hispanics, and individuals with low income and education [ ], lower health literacy is associated with requiring more assistance and time to perform standard portal tasks [ ].
MetroHealth patients had small differences by race or type of insurance in viewing lab results but larger differences using functions that required composition such as requesting advice and responding to messages. Patients were less likely to send messages if black, Hispanic, not commercially insured, less educated, or with less access to broadband . SHI disparities in messaging frequency have also been reported [ , ].
Diabetic patients  and black and Latino portal nonusers [ ] revealed in surveys and focus groups fears that portals would undermine relationships with providers or reduce valued human contact. Others reported fears about portal use invoking government surveillance and deportation [ ].
Provider- and Health Care System–Related Barriers to Health Information Technology Adoption
Providers may encounter structural disincentives or act on biases that inhibit patient use of HIT. Provider endorsement is important for portal adoption among diabetic  and other patients [ ]. However, providers may withhold portal promotion fearing income loss from reduced clinical visits [ , ] or lacking time [ ] or compensation [ ] for responding to messages.
About 40% of adult MetroHealth patients had established portal accounts by 2015 , but only 29.1% (70,835/243,248) had ever logged in [ ]. This gap has been reported elsewhere [ , , ], perhaps reflecting an observation from a safety net facility study: “The assumption built into the [Meaningful Use] metric is that providing patients with instructions is sufficient to convert them into active portal users. Therefore, outreach strategies often emphasized enrolling as many patients as possible” [ ].
Provider bias in recommending portals has received little attention. According to results of a national survey, the odds of a provider offering portal access were only 0.59 for blacks (CI 0.42-0.84) versus whites and 0.47 for Hispanics (CI 0.32-0.68) versus non-Hispanics . Similar findings were reported among federally qualified health center patients [ ].
Portal recommendations may reflect provider assumptions about whether patients have digital skills or value connectivity. Reminiscent of historic discriminatory lending practices , Callahan and the National Digital Inclusion Alliance recently documented “digital redlining” by the predominant Internet Service Provider in Cleveland, who “withheld fiber-enhanced broadband improvements” from areas with high concentrations of black and low-income residents [ ]. This pattern was also reported for the entire state of California [ ]. Thus, patients facing SHIs may lack the option of home broadband at any price.
Among nearly 50,000 patients with T2D seen at health systems participating in the Better Health Partnership regional health quality improvement collaborative (for which Bolen serves as the Director of Cardiovascular Disease Programs), careful analysis of aggregate EHR data led to improvements and reduced disparities in care and outcomes . Yet health care systems may lack resources that enable optimal use of the EHR for such purposes or for direct patient engagement. Expanded portal use could generate data that would add value to EHR data, especially when typologies of portal usage patterns are applied [ ].
HIT developers have been long criticized for lack of user-friendly design [, ]. Usability issues were the main reason for nonuse of HIT among low-income racial and ethnic minorities [ ]. Little has been written about how health systems support patient use of portals, suggesting that little help is being offered. Portal research study publications usually note that instruction was provided by clinicians or research assistants; such individuals are unlikely to have expertise in digital skills training. Password management and recovery is challenging for those with lower digital literacy [ ] and “even for extremely experienced users with a high degree of savvy regarding new technologies” [ ]. Safety net patients who were regular Internet users had difficulty registering for the Diabetes Prevention Program mobile app because they “rarely checked email and some participants did not have email accounts, requiring help to set up new ones.” Patients with fewer computer skills had fundamental difficulties navigating an online form, such as knowing how to enter a Web address or skip a question [ ]. Patients reliant on public Wi-Fi or shared phones are especially concerned about account security [ , ].
Much consumer-focused HIT, including patient portals, has been introduced with limited evidence of effectiveness. Regarding diabetes-specific outcomes, a 2014 review found consistent improvements in hemoglobin A1c levels but not in other biomarkers . In another study, individuals randomized to use wearable activity trackers and a Web interface to monitor diet lost less weight than those in the control arm [ ]. Nonetheless, some evidence shows that with heavy utilization portals can have an impact on SHI populations [ , ].
Low-cost smartphones, Internet access programs, and free digital skills training are now widely available , offering an unprecedented opportunity to address key portal use barriers. Four actions to reduce SHIs through eHealth have been suggested: promote universal access to eHealth technology, consider patient literacy level, consider cultural factors, and engage populations at risk of SHIs with eHealth design [ ]. We offer additional suggestions for expanding HIT adoption.
The MetroHealth Patient Centered Media Lab team is testing having physicians issue prescriptions for portal adoption and offering training for the portal smartphone app. Elsewhere, a portal opt-out approach enabled community health centers to reduce racial disparities in repeat portal use . To go even further, we suggest screening all patients for digital skills (with a checklist, hands-on demo, or free online tools) [ , ]; health literacy (with a single question) [ , ]; and connectivity (using standard survey questions) [ , , ]. Or patients could simply be asked about their interest in low-cost desktop, tablet, and mobile equipment and broadband or mobile data and referred to local partners for assistance. The Centers for Medicare and Medicaid Services funded the United Way of Greater Cleveland and several other communities to screen patients for certain barriers to health such as lack of funds for transportation and utilities and refer them to community organizations for support [ , ]. Screening for Internet access and then referring clients to community partners for skills training and connectivity would be a valuable augmentation to this new initiative.
As part of a national program [, ], Callahan engaged community organizations in several cities (from 2010 to 2012) to equip, train, and connect 21,000 low-income residents who lacked computers or home Internet. Training and connectivity support were transformative for many [ , ], and we are now referring patients to that initiative’s Cleveland-area partners for skills training and connectivity support. Patients may be eligible for free or reduced-cost equipment and service through federal, state (including Medicaid), and commercial programs [ , , ]. (Plans with unlimited data are especially valuable versus ones with low data caps [ ]). Similar partnerships are underway in just a few other cities [ - ]. However, integration of clinical and community systems is now seen as essential for treating obesity and related chronic diseases [ ]. Community Reinvestment Act funds invested by local banks in communities to redress the legacy of discriminatory lending from the 1930s to the 1970s could be leveraged to expand broadband access and skills training [ ].
Consumer-focused software should not require instruction. However, between digital skill and health literacy gaps and technology shortcomings, portal training is essential for increased adoption, reduced disparities, and increased impact on health. Instruction time will vary from 15 minutes among eHealth literate individuals [, , ] to many hours for patients with such conditions as serious mental illness [ ]. Portal training could be tailored based on digital skill and health literacy assessments; options include on-line, tutor-facilitated, individual, and group classes [ ]. Portal training should use evidence- or theory-based techniques geared to the pivotal moments in the learning progression, from fear to mastery [ ].
Tieu  identifies 5 key portal functions on which patients should be trained: logging in, viewing visit summaries, viewing prescribed health education information, viewing test results, and looking up information in a connected online library. Those with low numeracy may need assistance interpreting laboratory results [ ]. Dictation and autocomplete [ ] plus template messages could help with tasks requiring composition. Portal training should address concerns around authentication and password management, data security, loss of the personal relationship with the provider, and fear of deportation [ ] as expressed by persons with SHIs.
In preparation for expanding referrals of patients to the portal, we are training community health workers to perform digital skills assessments and some portal training; others are using technology navigators for similar purposes . Clinical and digital skills training content should be provided by individuals with the relevant expertise. Family caregivers represent a largely untapped resource to help patients bridge digital skill and connectivity gaps, albeit raising privacy concerns [ ].
Further Research and Development
To accelerate health improvement and reduced disparities through HIT, better technology and intervention studies are needed. Extracting the full value from rich EHR and portal data requires dedicated, trained staff . Their jobs could be made much easier if software makers included tools for such purposes.
Mobile access could increase portal use, but there has been little uptake at our own or other institutions [, ]. Portal instructions and health information should be presented at patients’ reading level, with ready access to more detailed or simplified information. Movies, illustrations, and graphs are especially useful for those with lower literacy or language barriers [ ]. Portal adoption interventions must be developed and tested. The Network of Digital Evidence in Health (NODE Health) is applying evidence-based medicine rigor to address the current void in much digital health technology [ ]. As a NODE Health consortium member, Sheon seeks to ensure [ ] that overlooked SHI perspectives [ ] are considered in assessment of digital health efficacy [ ].
Patient input to technology development benefits both underserved and advantaged patients . Inclusion of technology novices is especially important for usability testing [ ]. One project paid “citizen scientists” for helping to create a diabetes mobile app [ ]; SHI patients may need such funds to participate. For patient convenience, treatment recommendations that are shared among comorbidities, such as physical activity for T2D and depression, could be addressed in a single app or portal feature [ ]. In the Patient Centered Media Lab, Perzynski [ ] engages patients in designing and deploying HIT apps such as an augmented reality exercise game to prevent T2D. Perzynski and Shick [ ] have created a single-click app that displays social and environmental determinants of health specific to a patient’s residential address plus links to community support to address these issues.
Finally, mobile phone ownership is almost universal in the United States with disparities nearly closed . Short message service (text) messaging improves insulin titration [ ] and medication adherence for chronic diseases [ ]. Text messages require only a cellular phone and do not require a data plan and should thus be considered for interventions.
A digital inclusion lens reveals digital skill and connectivity barriers that must be addressed to avoid widening T2D disparities. Health care systems should partner with local digital inclusion advocates to screen and help patients obtain low-cost Internet service, equipment, and basic digital skills training. These are essential for portal training to be efficient and effective. Portal training should be informed by those with expertise in digital skills and health literacy acquisition. Paraprofessionals such as community health workers could be trained accordingly to assume some of these responsibilities at a relatively low cost. Research on the cost effectiveness and impact of these novel approaches should lead to support for broad dissemination, if not insurance reimbursement.
Shari Bolen wrote the first draft of the manuscript with other authors contributing equally. Amy Sheon led a major revision and took over as the lead author. The other authors contributed equally to the revision.
Conflicts of Interest
Dr Sheon is the founder and CEO of Public Health Innovations, LLC, advising clients on using innovation to improve public or population health. Mr Callahan is an employee or paid consultant for organizations which advocate, facilitate, or provide digital skills training, training in use of patient portals, and support for low-income households to attain Internet connectivity. Philanthropic support for these activities may be affected by matters discussed in the manuscript. Dr Perzynski is cofounder of Global Health Metrics, LLC, a company that produces health risk assessment software, and created HealthStead.org. Callahan, Sheon, and Perzynski volunteer as President, Secretary, and Member of the Board of Connect Your Community Institute, a nonprofit organization promoting digital inclusion in northeast Ohio.
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|eHealth: electronic health|
|EHR: electronic health record|
|HIT: health information technology|
|NODE Health: Network for Digital Evidence in Health|
|SHI: social health inequalities|
|T2D: type 2 diabetes|
Edited by G Eysenbach; submitted 07.10.16; peer-reviewed by C Lyles PhD, I de la Torre, M López-Coronado, A Paglialonga, A Martinez-Millana; comments to author 06.01.17; revised version received 26.05.17; accepted 16.06.17; published 13.07.17
©Amy R Sheon, Shari D Bolen, Bill Callahan, Sarah Shick, Adam T Perzynski. Originally published in JMIR Diabetes (http://diabetes.jmir.org), 13.07.2017.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Diabetes, is properly cited. The complete bibliographic information, a link to the original publication on http://diabetes.jmir.org/, as well as this copyright and license information must be included.