The Digital Health Landscape in Addiction and Substance Use Research: Will Digital Health Exacerbate or Mitigate Health Inequities in Vulnerable Populations?

Hamideh, Dina; Nebeker, Camille

doi:10.1007/s40429-020-00325-9

Cited by 15 publications

(15 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most (37/41, 90%) papers reported the factors that influence health inequities brought about by digital health services. Of these 37 studies, 18 (49%) studies reported the important role of age in determining whether patients use or do not use digital health technologies, especially among the older adults [ 18 , 33 , 35 , 39 , 42 , 44 - 47 , 49 , 53 , 56 , 58 , 59 , 61 , 62 , 65 , 66 ]. Race and ethnicity have long been considered as one of the causes of the causes of health inequities [ 51 ]; the acknowledged health benefits of eHealth or mobile health initiatives have seen limited application among Black communities [ 1 , 24 , 42 , 45 , 51 , 55 , 61 , 65 , 66 ].…”

Section: Resultsmentioning

confidence: 99%

“…Of these 37 studies, 18 (49%) studies reported the important role of age in determining whether patients use or do not use digital health technologies, especially among the older adults [ 18 , 33 , 35 , 39 , 42 , 44 - 47 , 49 , 53 , 56 , 58 , 59 , 61 , 62 , 65 , 66 ]. Race and ethnicity have long been considered as one of the causes of the causes of health inequities [ 51 ]; the acknowledged health benefits of eHealth or mobile health initiatives have seen limited application among Black communities [ 1 , 24 , 42 , 45 , 51 , 55 , 61 , 65 , 66 ]. In addition, some studies (8/41, 20%) reported that citizens living in rural areas were affected by poor access to and availability of digital health technologies resulting from limited internet broadband coverage [ 24 , 42 , 45 , 46 , 56 , 57 , 62 , 66 ].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

Yao¹,

Wen-li²,

Evans³

et al. 2022

J Med Internet Res

129

View full text Add to dashboard Cite

Background Digital health technologies (ie, the integration of digital technology and health information) aim to increase the efficiency of health care delivery; they are rapidly adapting to health care contexts to provide improved medical services for citizens. However, contrary to expectations, their rapid adoption appears to have led to health inequities, with differences in health conditions or inequality in the distribution of health care resources among different populations. Objective This scoping review aims to identify and describe the inequities of health care services brought about by the adoption of digital health technologies. The factors influencing such inequities, as well as the corresponding countermeasures to ensure health equity among different groups of citizens, were also studied. Methods Primary studies and literature, including articles and reviews, published in English between 1990 and 2020 were retrieved using appropriate search strategies across the following three electronic databases: Clarivate Analytics’ Web of Science, PubMed, and Scopus. Data management was performed by two authors (RY and WZ) using Thomson Endnote (Clarivate Analytics, Inc), by systematically screening and identifying eligible articles for this study. Any conflicts of opinion were resolved through discussions with the corresponding author. A qualitative descriptive synthesis was performed to determine the outcomes of this scoping review. Results A total of 2325 studies were collected during the search process, of which 41 (1.76%) papers were identified for further analysis. The quantity of literature increased until 2016, with a peak in 2020. The United States, the United Kingdom, and Norway ranked among the top 3 countries for publication output. Health inequities caused by the adoption of digital health technologies in health care services can be reflected in the following two dimensions: the inability of citizens to obtain and adopt technology and the different disease outcomes found among citizens under technical intervention measures. The factors that influenced inequities included age, race, region, economy, and education level, together with health conditions and eHealth literacy. Finally, action can be taken to alleviate inequities in the future by government agencies and medical institutions (eg, establishing national health insurance), digital health technology providers (eg, designing high-quality tools), and health care service recipients (eg, developing skills to access digital technologies). Conclusions The application of digital health technologies in health care services has caused inequities to some extent. However, existing research has certain limitations. The findings provide a comprehensive starting point for future research, allowing for further investigation into how digital health technologies may influence the unequal distribution of health care services. The interaction between individual subjective factors as well as social support and influencing factors should be included in future studies. Specifically, access to and availability of digital health technologies for socially disadvantaged groups should be of paramount importance.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

Yao¹,

Wen-li²,

Evans³

et al. 2022

J Med Internet Res

129

View full text Add to dashboard Cite

show abstract

“…In the final step, 64 publications were included. Many papers focused on a specific kind of e-Health tool: health information websites [5,18,19] with or without an interactive component; health wearables [20][21][22][23][24] or apps for a particular health condition [22,[25][26][27][28][29][30][31][32][33][34][35][36][37][38]. Through snowballing, papers that described digital systems from a larger perspective were identified [11,39].…”

Section: Resultsmentioning

confidence: 99%

The Promise of Digital Self-Management: A Reflection about the Effects of Patient-Targeted e-Health Tools on Self-Management and Wellbeing

Olmen

2022

IJERPH

View full text Add to dashboard Cite

Increasingly, people have direct access to e-Health resources such as health information on the Internet, personal health portals, and wearable self-management applications, which have the potential to reinforce the simultaneously growing focus on self-management and wellbeing. To examine these relationships, we searched using keywords self-management, patient-targeting e-Health tools, and health as wellbeing. Direct access to the health information on the Internet or diagnostic apps on a smartphone can help people to self-manage health issues, but also leads to uncertainty, stress, and avoidance. Uncertainties relate to the quality of information and to use and misuse of information. Most self-management support programs focus on medical management. The relationship between self-management and wellbeing is not straightforward. While the influence of stress and negative social emotions on self-management is recognized as an important cause of the negative spiral, empirical research on this topic is limited to health literacy studies. Evidence on health apps showed positive effects on specific actions and symptoms and potential for increasing awareness and ownership by people. Effects on more complex behaviors such as participation cannot be established. This review discovers relatively unknown and understudied angles and perspectives about the relationship between e-Health, self-management, and wellbeing.

show abstract

“…A vital consideration is identifying potential for inadvertent creation or exacerbation of health inequities, particularly among vulnerable populations. Consideration of socio-cultural aspects during D-CCC platform design , and iteratively examining how these affect platform acceptability, feasibility and reliability will be critical to avoid further propagating health inequities 53 . To this end, D-CCC design needs to occur iteratively and in close collaboration with CHWs, CHW supervisors and clients.…”

Section: Discussionmentioning

confidence: 99%

Digital Health-Enabled Community-Centered Care (D-CCC): A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop AI

Kanduri

et al. 2021

Preprint

View full text Add to dashboard Cite

Digital Health-Enabled Community-Centered Care (D-CCC) represents a pioneering vision for the future of community-centered care. Utilizing an artificial intelligence-enabled closed-loop digital health platform designed for, and with, community health workers, D-CCC enables timely and individualized delivery of interventions by community health workers to the communities they serve. D-CCC has the potential to transform the current landscape of manual, episodic and restricted community health worker-delivered care and services into an expanded, digitally interconnected and collaborative community-centered health and social care ecosystem which centers around a digitally empowered community health workforce of the future.

show abstract

The Digital Health Landscape in Addiction and Substance Use Research: Will Digital Health Exacerbate or Mitigate Health Inequities in Vulnerable Populations?

Abstract: Your article will be published Online First approximately one week after receipt of your corrected proofs. This is the official first publication citable with the DOI. Further changes are, therefore, not possible.

Cited by 15 publications

References 56 publications

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

The Promise of Digital Self-Management: A Reflection about the Effects of Patient-Targeted e-Health Tools on Self-Management and Wellbeing

Digital Health-Enabled Community-Centered Care (D-CCC): A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop AI

Contact Info

Product

Resources

About