The impact of digital inequities on gastrointestinal cancer disparities in the United States.

BACKGROUND: Modern-day internet access and technology usage substantially impacts aspects of surgical care but remain ill-defined for their associations with gastrointestinal-cancer (GIC) outcomes. We sought to develop the Digital Inequity Index (DII), a novel, a self-adapted tool to quantify access to digital resources, to assess the impact of "digital inequity" on GIC care and prognosis. METHODS: Adult (20+) patients with gastrointestinal malignancies between 2013 and 2017 were identified from the Surveillance, Epidemiology, and End Results Program database. DII was calculated based on 17 census-tract level variables derived from the American Community Survey and Federal Communications Commission. Variables were categorized as infrastructure-access (i.e., electronic device ownership, broadband type, internet provider availability, income-broadband subscription ratio) or sociodemographic (i.e., education, income, disability status), ranked relative across all US counties, and then averaged into a composite score. The association between DII and surgery receipt, staging, surveillance period, and survival time were assessed with multiple logistic and linear regressions. RESULTS: Among 287 228 patients, increasing DII was associated with increased odds of late-stage disease (highest odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.05-1.10 for hepatic) and decreased odds of receiving surgery (lowest OR: 0.94, 95% CI: 0.93-0.96 for hepatic). Higher DII was associated with shorter postoperative surveillance length (largest decrease -20.4% for hepatic) and overall survival length (largest decrease -16.0% for pancreatic). Sociodemographic and infrastructure-access factors contributed equivalently to surveillance time disparities, while infrastructure-access factors contributed more to survival disparities across GIC types. CONCLUSIONS: As technology dependence has increased, inequities in digital access should be targeted as a contributor to surgical oncologic disparities.

Sociodemographic disparities in the use of health information technology by a national sample of head and neck cancer patients.

BACKGROUND: Quantifying disparities in health information technology (HIT) use among head and neck cancer (HNC) patients may help clinicians reduce care gaps and improve outcomes. METHODS: Relationships between HIT usage and sociodemographic characteristics were studied for adults with HNC between 2011 and 2018 through a retrospective analysis of the US National Health Interview Survey. RESULTS: Multivariate logistic regression indicated HIT usage disparities based on race, age, educational attainment, and insurance status. Black (aOR 0.07, 95% CI 0.01-0.52, P = 0.010), uninsured (aOR 0.21, 95% CI 0.06-0.79, P = 0.022), and senior patients (aOR 2.72, 95% CI 1.55-4.80, P < 0.001) emailed providers less than non-Hispanic White, privately insured, and middle-aged (45-64) patients, respectively. Similar disparities were found among patients searching for health information, scheduling appointments, and filling prescriptions online. CONCLUSION: Black, older, less educated, and un/underinsured HNC patients use HIT less than their counterparts. Reducing these inequities may help improve their outcomes.

Centering Digital Health Equity During Technology Innovation: Protocol for a Comprehensive Scoping Review of Evidence-Based Tools and Approaches.

BACKGROUND: In the rush to develop health technologies for the COVID-19 pandemic, the unintended consequence of digital health inequity or the inability of priority communities to access, use, and receive equal benefits from digital health technologies was not well examined. OBJECTIVE: This scoping review will examine tools and approaches that can be used during digital technology innovation to improve equitable inclusion of priority communities in the development of digital health technologies. The results from this study will provide actionable insights for professionals in health care, health informatics, digital health, and technology development to proactively center equity during innovation. METHODS: Based on the Arksey and O'Malley framework, this scoping review will consider priority communities' equitable involvement in digital technology innovation. Bibliographic databases in health, medicine, computing, and information sciences will be searched. Retrieved citations will be double screened against the inclusion and exclusion criteria using Covidence (Veritas Health Innovation). Data will be charted using a tailored extraction tool and mapped to a digital health innovation pathway defined by the Centre for eHealth Research roadmap for eHealth technologies. An accompanying narrative synthesis will describe the outcomes in relation to the review's objectives. RESULTS: This scoping review is currently in progress. The search of databases and other sources returned a total of 4868 records. After the initial screening of titles and abstracts, 426 studies are undergoing dual full-text review. We are aiming to complete the full-text review stage by May 30, 2024, data extraction in October 2024, and subsequent synthesis in December 2024. Funding was received on October 1, 2023, from the Centre for Health Equity Incubator Grant Scheme, University of Melbourne, Australia. CONCLUSIONS: This paper will identify and recommend a series of validated tools and approaches that can be used by health care stakeholders and IT developers to produce equitable digital health technology across the Centre for eHealth Research roadmap. Identified evidence gaps, possible implications, and further research will be discussed. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53855.

Demographic Data Associated With Digital Inequity Reported in Patient-to-Provider Teledermatology Studies in the United States From 2011 to 2021: Scoping Review.

Background: Patient-to-provider teledermatology relies on a patient's access to technology to ensure a successful visit. However, access to broadband internet and technology varies across populations in the United States-leading to the digital divide. While teledermatology has been recognized as a model to improve access, little is known about how often demographic data associated with digital inequity are captured in studies. Objective: Given the expansion of teledermatology over the past decade, we sought to determine how often demographic data associated with digital inequity are reported in patient-to-provider teledermatology studies. Methods: A scoping literature review search was conducted using the search term teledermatology in the following databases: PubMed, Embase, and the Cochrane Database of Systematic Reviews. All studies published between December 31, 2011, and December 31, 2021, that evaluated patient-to-provider teledermatology were eligible. Results: In total, 1412 publications describing teledermatology were identified, of which 46 met the inclusion criteria. Race or ethnicity was the most frequently reported demographic characteristic (28/46, 61%). However, only 41% (19/46) of studies were representative of race or ethnicity, defined as including >20% nonwhite participants. Studies rarely reported the number of participants greater than 65 years of age (14/46, 30%), preferred language (9/46, 20%), income (6/46, 13%), highest level of education (5/46, 11%), or access to a device (4/46, 9%). Studies conducted after the onset of the COVID-19 pandemic were significantly more likely to report preferred language (9/25, 36% vs 0%; P=.002) and appeared more likely to report other demographic data associated with digital inequity, without reaching statistical significance (P>.05). Conclusions: Demographic data associated with digital inequity are rarely reported in patient-to-provider teledermatology studies to date. These studies frequently lack adequate representation of racial and ethnic minorities. With increased calls for equitable representation in dermatology studies, future teledermatology studies can improve the reporting of race and ethnicity and consider demographic data associated with digital inequity as an important criterion in research design.

A critical review of the role of technology and context in digital health research.

Digital health represents a research field dedicated to realising digital technologies' potential and developing knowledge about their feasibility and impacts. Yet, drawing on a critical review of the articles in the most prominent multidisciplinary digital health journals, this paper argues that the digital health field has not profoundly engaged with its core subject, namely technology. The features of digital technologies remain in the background, and research is disconnected from the complexities of healthcare settings, including multiple technologies, established practices and people. Instead, the overarching focus in the digital health literature is the processing capabilities of digital technologies and their posited impacts. This paper proposes a research direction in digital health where technology and the context of use take a more prominent role. It argues that realising the potential of digital health requires intensive investigation drawing on different disciplines, grounded on understanding healthcare processes, related informational needs and the concrete features of digital technologies.