TY - JOUR
T1 - Designing Health Recommender Systems to Promote Health Equity:A Socioecological Perspective
AU - Figueroa, Caroline A.
AU - Torkamaan, Helma
AU - Bhattacharjee, Ananya
AU - Hauptmann, Hanna
AU - Guan, Kathleen W.
AU - Sedrakyan, Gayane
N1 - Publisher Copyright:
© 2025 JMIR Publications Inc.. All rights reserved.
PY - 2025/1/30
Y1 - 2025/1/30
N2 - Health recommender systems (HRS) have the capability to improve human-centered care and prevention by personalizing content, such as health interventions or health information. HRS, an emerging and developing field, can play a unique role in the digital health field as they can offer relevant recommendations, not only based on what users themselves prefer and may be receptive to, but also using data about wider spheres of influence over human behavior, including peers, families, communities, and societies. We identify and discuss how HRS could play a unique role in decreasing health inequities. We use the socioecological model, which provides representations of how multiple, nested levels of influence (eg, community, institutional, and policy factors) interact to shape individual health. This perspective helps illustrate how HRS could address not just individual health factors but also the structural barriers-such as access to health care, social support, and access to healthy food-that shape health outcomes at various levels. Based on this analysis, we then discuss the challenges and future research priorities. We find that despite the potential for targeting more complex systemic challenges to obtaining good health, current HRS are still focused on individual health behaviors, often do not integrate the lived experiences of users in the design, and have had limited reach and effectiveness for individuals from low socioeconomic status and racial or ethnic minoritized backgrounds. In this viewpoint, we argue that a new design paradigm is necessary in which HRS focus on incorporating structural barriers to good health in addition to user preferences. HRS should be designed with an emphasis on health systems, which also includes incorporating decolonial perspectives of well-being that challenge prevailing medical models. Furthermore, potential lies in evaluating the health equity effects of HRS and leveraging collected data to influence policy. With changes in practices and with an intentional equity focus, HRS could play a crucial role in health promotion and decreasing health inequities.
AB - Health recommender systems (HRS) have the capability to improve human-centered care and prevention by personalizing content, such as health interventions or health information. HRS, an emerging and developing field, can play a unique role in the digital health field as they can offer relevant recommendations, not only based on what users themselves prefer and may be receptive to, but also using data about wider spheres of influence over human behavior, including peers, families, communities, and societies. We identify and discuss how HRS could play a unique role in decreasing health inequities. We use the socioecological model, which provides representations of how multiple, nested levels of influence (eg, community, institutional, and policy factors) interact to shape individual health. This perspective helps illustrate how HRS could address not just individual health factors but also the structural barriers-such as access to health care, social support, and access to healthy food-that shape health outcomes at various levels. Based on this analysis, we then discuss the challenges and future research priorities. We find that despite the potential for targeting more complex systemic challenges to obtaining good health, current HRS are still focused on individual health behaviors, often do not integrate the lived experiences of users in the design, and have had limited reach and effectiveness for individuals from low socioeconomic status and racial or ethnic minoritized backgrounds. In this viewpoint, we argue that a new design paradigm is necessary in which HRS focus on incorporating structural barriers to good health in addition to user preferences. HRS should be designed with an emphasis on health systems, which also includes incorporating decolonial perspectives of well-being that challenge prevailing medical models. Furthermore, potential lies in evaluating the health equity effects of HRS and leveraging collected data to influence policy. With changes in practices and with an intentional equity focus, HRS could play a crucial role in health promotion and decreasing health inequities.
KW - AI
KW - artificial intelligence
KW - digital devices
KW - digital health
KW - digital health intervention
KW - health behavior
KW - health behaviors
KW - health equity
KW - health inequities
KW - health promotion
KW - health recommender systems
KW - patient centric
KW - socioecological
UR - http://www.scopus.com/inward/record.url?scp=85216793780&partnerID=8YFLogxK
U2 - 10.2196/60138
DO - 10.2196/60138
M3 - Review article
C2 - 39883934
AN - SCOPUS:85216793780
SN - 1439-4456
VL - 27
JO - Journal of medical internet research
JF - Journal of medical internet research
M1 - e60138
ER -