The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review.

BACKGROUND: The field of oncology is at the forefront of advances in artificial intelligence (AI) in health care, providing an opportunity to examine the early integration of these technologies in clinical research and patient care. Hope that AI will revolutionize health care delivery and improve clinical outcomes has been accompanied by concerns about the impact of these technologies on health equity. OBJECTIVE: We aimed to conduct a scoping review of the literature to address the question, "What are the current and potential impacts of AI technologies on health equity in oncology?" METHODS: Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines for scoping reviews, we systematically searched MEDLINE and Embase electronic databases from January 2000 to August 2021 for records engaging with key concepts of AI, health equity, and oncology. We included all English-language articles that engaged with the 3 key concepts. Articles were analyzed qualitatively for themes pertaining to the influence of AI on health equity in oncology. RESULTS: Of the 14,011 records, 133 (0.95%) identified from our review were included. We identified 3 general themes in the literature: the use of AI to reduce health care disparities (58/133, 43.6%), concerns surrounding AI technologies and bias (16/133, 12.1%), and the use of AI to examine biological and social determinants of health (55/133, 41.4%). A total of 3% (4/133) of articles focused on many of these themes. CONCLUSIONS: Our scoping review revealed 3 main themes on the impact of AI on health equity in oncology, which relate to AI's ability to help address health disparities, its potential to mitigate or exacerbate bias, and its capability to help elucidate determinants of health. Gaps in the literature included a lack of discussion of ethical challenges with the application of AI technologies in low- and middle-income countries, lack of discussion of problems of bias in AI algorithms, and a lack of justification for the use of AI technologies over traditional statistical methods to address specific research questions in oncology. Our review highlights a need to address these gaps to ensure a more equitable integration of AI in cancer research and clinical practice. The limitations of our study include its exploratory nature, its focus on oncology as opposed to all health care sectors, and its analysis of solely English-language articles.

Could we do better? Behavioural tracking on recommended consumer health websites.

OBJECTIVE: This study examines behavioural tracking practices on consumer health websites, contrasting tracking on sites recommended by information professionals with tracking on sites returned by Google. METHODS: Two lists of consumer health websites were constructed: sites recommended by information professionals and sites returned by Google searches. Sites were divided into three groups according to source (Recommended-Only, Google-Only or both) and type (Government, Not-for-Profit or Commercial). Behavioural tracking practices on each website were documented using a protocol that detected cookies, Web beacons and Flash cookies. The presence and the number of trackers that collect personal information were contrasted across source and type of site; a second set of analyses specifically examined Advertising trackers. RESULTS: Recommended-Only sites show lower levels of tracking - especially tracking by advertisers - than do Google-Only sites or sites found through both sources. Government and Not-for-Profit sites have fewer trackers, particularly from advertisers, than do Commercial sites. CONCLUSIONS: Recommended sites, especially those from Government or Not-for-Profit organisations, present a lower privacy threat than sites returned by Google searches. Nonetheless, most recommended websites include some trackers, and half include at least one Advertising tracker. IMPLICATIONS: To protect patron privacy, information professionals should examine the tracking practices of the websites they recommend.

Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review.

BACKGROUND: The COVID-19 pandemic has prompted the deployment of digital technologies for public health surveillance globally. The rapid development and use of these technologies have curtailed opportunities to fully consider their potential impacts (eg, for human rights, civil liberties, privacy, and marginalization of vulnerable groups). OBJECTIVE: We conducted a scoping review of peer-reviewed and gray literature to identify the types and applications of digital technologies used for surveillance during the COVID-19 pandemic and the predicted and witnessed consequences of digital surveillance. METHODS: Our methodology was informed by the 5-stage methodological framework to guide scoping reviews: identifying the research question; identifying relevant studies; study selection; charting the data; and collating, summarizing, and reporting the findings. We conducted a search of peer-reviewed and gray literature published between December 1, 2019, and December 31, 2020. We focused on the first year of the pandemic to provide a snapshot of the questions, concerns, findings, and discussions emerging from peer-reviewed and gray literature during this pivotal first year of the pandemic. Our review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) reporting guidelines. RESULTS: We reviewed a total of 147 peer-reviewed and 79 gray literature publications. Based on our analysis of these publications, we identified a total of 90 countries and regions where digital technologies were used for public health surveillance during the COVID-19 pandemic. Some of the most frequently used technologies included mobile phone apps, location-tracking technologies, drones, temperature-scanning technologies, and wearable devices. We also found that the literature raised concerns regarding the implications of digital surveillance in relation to data security and privacy, function creep and mission creep, private sector involvement in surveillance, human rights, civil liberties, and impacts on marginalized groups. Finally, we identified recommendations for ethical digital technology design and use, including proportionality, transparency, purpose limitation, protecting privacy and security, and accountability. CONCLUSIONS: A wide range of digital technologies was used worldwide to support public health surveillance during the COVID-19 pandemic. The findings of our analysis highlight the importance of considering short- and long-term consequences of digital surveillance not only during the COVID-19 pandemic but also for future public health crises. These findings also demonstrate the ways in which digital surveillance has rendered visible the shifting and blurred boundaries between public health surveillance and other forms of surveillance, particularly given the ubiquitous nature of digital surveillance. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-https://doi.org/10.1136/bmjopen-2021-053962.

Attitudes toward reciprocity systems for organ donation and allocation for transplantation.

Many of those who support organ donation do not register to become organ donors. The use of reciprocity systems, under which some degree of priority is offered to registered donors who require an organ transplant, is one suggestion for increasing registration rates. This article uses a combination of survey and focus group methodologies to explore the reaction of Canadians to a reciprocity proposal. Our results suggest that the response is mixed. Participants are more convinced of the efficacy than they are of the fairness of a reciprocity system. Those more positive about donation (decided donors and those leaning toward donation) rate the system more positively. Although there is general endorsement of the notion that those who wish to receive should be prepared to give (the Golden Rule), this does not translate into universal support for a reciprocity system. In discussions of efficacy, decided donors focus on the positive impact of reciprocity, whereas undecided donors also reflect on the limits of reciprocity for promoting registration. The results demonstrate divided support for reciprocity systems in the Canadian context, with perceptions of efficacy at the cost of fairness. Further studies are warranted prior to considering a reciprocity system in Canada.

An investigation of media reports of digital surveillance within the first year of the COVID-19 pandemic.

Introduction: The COVID-19 pandemic prompted a surge in digital public health surveillance worldwide, with limited opportunities to consider the effectiveness or impact of digital surveillance. The news media shape public understanding of topics of importance, contributing to our perception of priority issues. This study investigated news media reports published during the first year of the pandemic to understand how the use and consequences of digital surveillance technologies were reported on. Methods: A media content analysis of 34 high- to low-income countries was completed. The terms "COVID-19," "surveillance," "technologies," and "public health" were used to retrieve and inductively code media reports. Results: Of the 1,001 reports, most were web-based or newspaper sources on the development and deployment of technologies directed at contact tracing, enforcing quarantine, predicting disease spread, and allocating resources. Technology types included mobile apps, wearable devices, "smart" thermometers, GPS/Bluetooth, facial recognition, and security cameras. Repurposed data from social media, travel cards/passports, and consumer purchases also provided surveillance insight. Media reports focused on factors impacting surveillance success (public participation and data validity) and the emerging consequences of digital surveillance on human rights, function creep, data security, and trust. Discussion: Diverse digital technologies were developed and used for public health surveillance during the first year of the COVID-19 pandemic. The use of these technologies and witnessed or anticipated consequences were reported by a variety of media sources worldwide. The news media are an important public health information resource, as media outlets contribute to directing public understanding and shaping priority public health surveillance issues. Our findings raise important questions around how journalists decide which aspects of public health crises to report on and how these issues are discussed.

Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review.

Throughout the COVID-19 pandemic, a variety of digital technologies have been leveraged for public health surveillance worldwide. However, concerns remain around the rapid development and deployment of digital technologies, how these technologies have been used, and their efficacy in supporting public health goals. Following the five-stage scoping review framework, we conducted a scoping review of the peer-reviewed and grey literature to identify the types and nature of digital technologies used for surveillance during the COVID-19 pandemic and the success of these measures. We conducted a search of the peer-reviewed and grey literature published between 1 December 2019 and 31 December 2020 to provide a snapshot of questions, concerns, discussions, and findings emerging at this pivotal time. A total of 147 peer-reviewed and 79 grey literature publications reporting on digital technology use for surveillance across 90 countries and regions were retained for analysis. The most frequently used technologies included mobile phone devices and applications, location tracking technologies, drones, temperature scanning technologies, and wearable devices. The utility of digital technologies for public health surveillance was impacted by factors including uptake of digital technologies across targeted populations, technological capacity and errors, scope, validity and accuracy of data, guiding legal frameworks, and infrastructure to support technology use. Our findings raise important questions around the value of digital surveillance for public health and how to ensure successful use of technologies while mitigating potential harms not only in the context of the COVID-19 pandemic, but also during other infectious disease outbreaks, epidemics, and pandemics.

Priority in organ allocation to previously registered donors: public perceptions of the fairness and effectiveness of priority systems.

A priority system is one in which previously registered donors receive a preference in the allocation of organs for transplant ahead of those who have not registered. Supporters justify these systems on the basis that they are fair and will encourage donor registration. This article reviews existing studies of public reactions to priority systems, as well as studies of the extent to which the moral principle of reciprocity affects decision making in organ donation. The role of reciprocity in the public discourse surrounding the enactment of priority systems in Singapore and Israel is described. One factor that seems to have been relevant in these countries is the existence of a religious minority that is perceived as willing to take an organ but not to donate one. Although this perception may have fueled a resentment of perceived "free-riders," concerns were raised about the social divisiveness of priority systems. In sum, people appear to be sensitive to the principle of reciprocity in the context of organ donation, but this sensitivity does not always translate into support for priority systems. Further research into whether public messaging about organ donation could be modified to encourage registration by appeal to the golden rule would be worthwhile.

Digital technology and disease surveillance in the COVID-19 pandemic: a scoping review protocol.

INTRODUCTION: Infectious diseases pose a risk to public health, requiring efficient strategies for disease prevention. Digital health surveillance technologies provide new opportunities to enhance disease prevention, detection, tracking, reporting and analysis. However, in addition to concerns regarding the effectiveness of these technologies in meeting public health goals, there are also concerns regarding the ethics, legality, safety and sustainability of digital surveillance technologies. This scoping review examines the literature on digital surveillance for public health purposes during the COVID-19 pandemic to identify health-related applications of digital surveillance technologies, and to highlight discussions of the implications of these technologies. METHODS AND ANALYSIS: The scoping review will be guided by the framework proposed by Arksey and O'Malley and the guidelines outlined by Colquhoun et al and Levac et al. We will search Medline (Ovid), PsycInfo, PubMed, Scopus, CINAHL (EBSCOhost), ACM Digital Library, Google Scholar and IEEE Explore for relevant studies published between December 2019 and December 2020. The review will also include grey literature. Data will be managed and analysed through an extraction table and thematic analysis. ETHICS AND DISSEMINATION: Findings will be disseminated through traditional academic channels, as well as social media channels and research briefs and infographics. We will target our dissemination to provincial and federal public health organisations, as well as technology companies and community-based organisations managing the public response to the COVID-19 pandemic.

Rural Men's Health, Health Information Seeking, and Gender Identities: A Conceptual Theoretical Review of the Literature.

Beginning as early as 2009, recent shifts in Canadian health care delivery indicate that access to health information is essential to promote and maintain a healthy population. It is important to understand how and where various populations, such as underresourced rural populations, access health information so that public health agencies can develop and deliver appropriate information with, for, and in these contexts. There is a paucity of research that specifically examines how rural Canadian men seek health information; therefore, this review aimed to conceptualize this process based on three dynamic key constructs: health patterns of rural Canadians, health information-seeking behaviors, and rural gender identities. This conceptual theoretical literature review included 91 articles at the intersection of these three constructs. Discussion focuses on how residing in a rural region influences men's health and health care access. Health information-seeking behaviors are discussed in terms of social networks and framed with a rural context. Connell's theory of masculinity provides a useful approach to dissecting how rural men's gender identities influence their health attitudes, and how such attitudes are embedded in rural social and cultural norms. Each major construct-health in rural Canada, health information seeking, and rural gender identities-is discussed to highlight how specific embodiments of masculinity may promote and inhibit men's health information-seeking and positive health behaviors.

What accounts for the appeal of complementary/alternative medicine, and what makes complementary/ alternative medicine "alternative"?

The goal of this study was to elucidate the basis for the appeal of complementary/alternative medicine (CAM) and the basis upon which people distinguish between CAM and conventional medicine. Undergraduates (N = 173) rated 19 approaches to the treatment of chronic back pain on 16 rating scales. Data were analyzed via 3-mode factor analysis, which extracted conceptual dimensions common to both the scales and the treatments. A 5-factor solution was judged togive the best description of the raters'perceptions. One of these 5 factors clearly reflected the distinction between conventional versus CAM approaches, and a 2nd factor clearly referred to treatment appeal. The other 3 factors were invasiveness, health care professional versus patient effort, and "druglikeness." To the extent that treatment was seen as a CAM treatment (as opposed to a conventional treatment), it was seen to be more appealing, less invasive, and less druglike. Simple and partial correlations of the dimension weights indicated that both the appeal of CAM and the distinction between CAM and conventional medicine were largely driven by the view that CAM is less invasive than conventional medicine.

On the interaction of disability and aging: Accelerated degradation models and their influence on projections of future care needs and costs for personal injury litigation.

PURPOSE: Accelerated degradation models are emerging as ways to characterize the interaction between disability and the functional decline of aging and to provide insights about the processes of aging with disability. Typically the models employ sophisticated mathematical treatments that are beyond the scope of many clinicians, lawyers, and others who might benefit from the information they contain. The purpose of this report is to characterize some rudimentary features of the models, in more readily understandable language, and illustrate how understanding of the underlying constructs can influence decisions regarding resource allocation and other projections of future care needs. METHODS: A literature review of longitudinal aging and disability studies was completed and simplified mathematical modeling undertaken, with hypothetical data, to illustrate various outcomes of the interaction of disability with the functional decline of aging. A specific example, drawn from personal injury litigation, i.e. projection of future care costs, was used to illustrate the practical applicability of this conceptual model. CONCLUSION: Awareness of the accelerated functional decline brought about by the superimposition of age-related functional losses on pre-existing disability reveals a need to provide for aids and personnel supports at an earlier age than might be expected because of the multiplicative interaction and the inadequacy of functional reserves to compensate for the disability.

Information needs and information sources of individuals living with spinal cord injury.

AIMS AND OBJECTIVES: Access to health information is important for the well-being of people living in the community after spinal cord injury (SCI). In order to design appropriate information interventions, it is critical first to understand the information sources typically used. The goal of this study therefore is to identify the information-seeking practices of this group. SAMPLE AND METHODS: A sample of 207 individuals living in the community following traumatic spinal cord injury were surveyed regarding their ongoing information needs and practices for seeking information. RESULTS: The results reveal that respondents have unmet information needs, despite the fact that they typically access information through a variety of channels. SCI specialists are the most commonly used source, although they are viewed as relatively inaccessible. By contrast, the Internet (used by a relatively high proportion of respondents) is viewed as comparatively accessible, although there are some concerns about the quality of information found there. CONCLUSIONS: These survey results point to the need for an information source that is accessible and delivers high quality information. Although respondents use a variety of information sources, none meets this ideal profile. Information professionals should consider this gap in the design of information interventions.

"What does this mean?" How Web-based consumer health information fails to support information seeking in the pursuit of informed consent for screening test decisions.

PURPOSE: The authors analyzed online consumer health information related to screening tests to see how well this information meets known standards for supporting the understanding of test uncertainty. SETTING/SUBJECTS: MedlinePlus documents regarding maternal serum screening (6), prostate-specific antigen testing (6), and screening mammography (6) were analyzed. METHODOLOGY: The content of the documents was analyzed. RESULTS: This study showed that most sites conscientiously report that tests are less than 100% accurate, but few provide important details about the level of uncertainty associated with test results. In particular, few resources give information about the predictive value of screening tests and have little mention of the fact that predictive value is influenced by the a priori likelihood of having the condition. DISCUSSION/CONCLUSION: These results suggest that online consumer health information does not adequately support decisions about medical screening. We suggest a potential solution to the problem: metadata harvesting coupled with optimized presentation techniques to format personalized information about screening tests. Using these techniques, the empowerment of personal choice in matters of health decisions could become the de facto standard.

What are the chances? Evaluating risk and benefit information in consumer health materials.

Much consumer health information addresses issues of disease risk or treatment risks and benefits, addressing questions such as "How effective is this treatment?" or "What is the likelihood that this test will give a false positive result?" Insofar as it addresses outcome likelihood, this information is essentially quantitative in nature, which is of critical importance, because quantitative information tends to be difficult to understand and therefore inaccessible to consumers. Information professionals typically examine reading level to determine the accessibility of consumer health information, but this measure does not adequately reflect the difficulty of quantitative information, including materials addressing issues of risk and benefit. As a result, different methods must be used to evaluate this type of consumer health material. There are no standard guidelines or assessment tools for this task, but research in cognitive psychology provides insight into the best ways to present risk and benefit information to promote understanding and minimize interpretation bias. This paper offers an interdisciplinary bridge that brings these results to the attention of information professionals, who can then use them to evaluate consumer health materials addressing risks and benefits.