1932

Abstract

Current digital health approaches have not engaged diverse end users or reduced health or health care inequities, despite their promise to deliver more tailored and personalized support to individuals at the right time and the right place. To achieve digital health equity, we must refocus our attention on the current state of digital health uptake and use across the policy, system, community, individual, and intervention levels. We focus here on () outlining a multilevel framework underlying digital health equity; () summarizingfive types of interventions/programs (with example studies) that hold promise for advancing digital health equity; and () recommending future steps for improving policy, practice, and research in this space.

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2023-04-03
2024-10-08
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Literature Cited

  1. 1.
    Adepoju OE, Chae M, Ojinnaka CO, Shetty S, Angelocci T 2022. Utilization gaps during the COVID-19 pandemic: racial and ethnic disparities in telemedicine uptake in federally qualified health center clinics. J. Gen. Intern. Med. 37:51191–97
    [Google Scholar]
  2. 2.
    Adler-Milstein J. 2021. From digitization to digital transformation: policy priorities for closing the gap. JAMA 325:8717–18
    [Google Scholar]
  3. 3.
    Anthony C. 2021. Black tech founders want to change the culture of healthcare, one click at a time. Fierce Healthcare Nov. 29. https://www.fiercehealthcare.com/tech/black-tech-founders-want-to-change-culture-health-care-one-click-at-a-time
    [Google Scholar]
  4. 4.
    Antoninis M, Montoya S. 2018. A global framework to measure digital literacy. UNESCO Institute for Statistics Blog March 19. https://uis.unesco.org/en/blog/global-framework-measure-digital-literacy
    [Google Scholar]
  5. 5.
    Aulakh V, Maguire L. 2021. Investing in teaching safety-net providers to innovate can address health inequities. Health Aff. Forefront Oct. 11. https://www.healthaffairs.org/do/10.1377/forefront.20211006.352390
    [Google Scholar]
  6. 6.
    Avila-Garcia P, Hernandez-Ramos R, Nouri SS, Cemballi A, Sarkar U et al. 2019. Engaging users in the design of an mHealth, text message-based intervention to increase physical activity at a safety-net health care system. JAMIA Open 2:4489–97
    [Google Scholar]
  7. 7.
    Azzopardi-Muscat N, Sørensen K 2019. Towards an equitable digital public health era: promoting equity through a health literacy perspective. Eur. J. Public Health 29:Suppl. 313–17
    [Google Scholar]
  8. 8.
    Bandura A. 2004. Health promotion by social cognitive means. Health Educ. Behav. 31:2143–64
    [Google Scholar]
  9. 9.
    Barnett ML, Yee HF Jr, Mehrotra A, Giboney P 2017. Los Angeles safety-net program eConsult system was rapidly adopted and decreased wait times to see specialists. Health Aff 36:3492–99
    [Google Scholar]
  10. 10.
    Beaunoyer E, Dupéré S, Guitton MJ. 2020. COVID-19 and digital inequalities: reciprocal impacts and mitigation strategies. Comput. Hum. Behav. 111:106424
    [Google Scholar]
  11. 11.
    Bobian M, Kandinov A, El-Kashlan N, Svider PF, Folbe AJ et al. 2017. Mobile applications and patient education: Are currently available GERD mobile apps sufficient?. Laryngoscope 127:81775–79
    [Google Scholar]
  12. 12.
    Brewer LC, Fortuna KL, Jones C, Walker R, Hayes SN et al. 2020. Back to the future: achieving health equity through health informatics and digital health. JMIR mHealth uHealth 8:1e14512
    [Google Scholar]
  13. 13.
    Budd J, Miller BS, Manning EM, Lampos V, Zhuang M et al. 2020. Digital technologies in the public-health response to COVID-19. Nat. Med. 26:81183–92
    [Google Scholar]
  14. 14.
    Buman MP, Winter SJ, Sheats JL, Hekler EB, Otten JJ et al. 2013. The Stanford Healthy Neighborhood Discovery Tool: a computerized tool to assess active living environments. Am. J. Prev. Med. 44:4e41–47
    [Google Scholar]
  15. 15.
    Carey TS, Bekemeier B, Campos-Outcalt D, Koch-Weser S, Millon-Underwood S, Teutsch S 2020. National Institutes of Health Pathways to Prevention Workshop: achieving health equity in preventive services. Ann. Intern. Med. 172:4272–78
    [Google Scholar]
  16. 16.
    Cerise FP, Moran B, Huang PP, Bhavan KP. 2021. The imperative for integrating public health and health care delivery systems. NEJM Catal 2:4 https://doi.org/10.1056/CAT.20.0580
    [Google Scholar]
  17. 17.
    CHCF (Calif. Health Care Found.) 2022. CHCF innovation fund Brief, CHCF Oakland, CA: https://www.chcf.org/wp-content/uploads/2022/02/InnovationFund.pdf
    [Google Scholar]
  18. 18.
    Chih M-Y, McCowan A, Whittaker S, Krakow M, Ahern D et al. 2020. The landscape of connected cancer symptom management in rural America: a narrative review of opportunities for launching connected health interventions. J. Appalach. Health 2:464–81
    [Google Scholar]
  19. 19.
    Clark D, Roberson B, Ramiah K. 2021. Essential data: results of America's essential hospitals 2019 annual member characteristics survey Rep., Am. Essent. Hosp Washington, DC: https://essentialhospitals.org/wp-content/uploads/2021/05/EssentialData2021_Web.pdf
    [Google Scholar]
  20. 20.
    Courtois C, Verdegem P 2016. With a little help from my friends: an analysis of the role of social support in digital inequalities. New Media Soc 18:81508–27
    [Google Scholar]
  21. 21.
    Davis FD. 1985. A technology acceptance model for empirically testing new end-user information systems: theory and results PhD Thesis, Mass. Inst. Technol., Cambridge https://dspace.mit.edu/handle/1721.1/15192
    [Google Scholar]
  22. 22.
    Davis T, Shore P, Lu M. 2016. Peer technical consultant: veteran-centric technical support model for VA home-based telehealth programs. Fed. Pract. 33:331–36
    [Google Scholar]
  23. 23.
    Desveaux L, Soobiah C, Bhatia RS, Shaw J. 2019. Identifying and overcoming policy-level barriers to the implementation of digital health innovation: qualitative study. J. Med. Internet. Res. 21:12e14994
    [Google Scholar]
  24. 24.
    Diviani N, van den Putte B, Giani S, van Weert JC. 2015. Low health literacy and evaluation of online health information: a systematic review of the literature. J. Med. Internet. Res. 17:5e112
    [Google Scholar]
  25. 25.
    Duncan MJ, Kolt GS. 2019. Learning from community-led and co-designed m-health interventions. Lancet Digit. Health 1:6e248–49
    [Google Scholar]
  26. 26.
    El Benny M, Kabakian-Khasholian T, El-Jardali F, Bardus M 2021. Application of the eHealth Literacy Model in Digital Health Interventions: scoping review. J. Med. Internet Res. 23:6e23473
    [Google Scholar]
  27. 27.
    Ellison PM, Vanderpool RC. 2020. Preface: experiencing cancer in Appalachian Kentucky. J. Appalach. Health 2:369–73
    [Google Scholar]
  28. 28.
    Emani S, Yamin CK, Peters E, Karson AS, Lipsitz SR et al. 2012. Patient perceptions of a personal health record: a test of the diffusion of innovation model. J. Med. Internet Res. 14:6e150
    [Google Scholar]
  29. 29.
    Farberman RK, McKillop M, Lieberman DA, Delgado D, Thomas C et al. 2020. The impact of chronic underfunding on America's public health system: trends, risks, and recommendations, 2020 Issue Rep., Trust for America's Health Washington, DC: https://www.tfah.org/wp-content/uploads/2020/04/TFAH2020PublicHealthFunding.pdf
    [Google Scholar]
  30. 30.
    Fields J, Cemballi AG, Michalec C, Uchida D, Griffiths K et al. 2021. In-home technology training among socially isolated older adults: findings from the Tech Allies Program. J. Appl. Gerontol. 40:5489–99
    [Google Scholar]
  31. 31.
    Fisher EB, Ayala GX, Ibarra L, Cherrington AL, Elder JP et al. 2015. Contributions of peer support to health, health care, and prevention: papers from Peers for Progress. Ann. Fam. Med. 13:Suppl. 1S2–8
    [Google Scholar]
  32. 32.
    Friis-Healy EA, Nagy GA, Kollins SH. 2021. It is time to REACT: opportunities for digital mental health apps to reduce mental health disparities in racially and ethnically minoritized groups. JMIR Ment. Health 8:1e25456
    [Google Scholar]
  33. 33.
    Gujral K, Van Campen J, Jacobs J, Kimerling R, Blonigen D, Zulman DM. 2022. Mental health service use, suicide behavior, and emergency department visits among rural US veterans who received video-enabled tablets during the COVID-19 pandemic. JAMA Netw. Open 5:4e226250
    [Google Scholar]
  34. 34.
    Handley MA, Landeros J, Wu C, Najmabadi A, Vargas D, Athavale P. 2021. What matters when exploring fidelity when using health IT to reduce disparities?. BMC Med. Inform. Decis. Mak. 21:1119
    [Google Scholar]
  35. 35.
    Harrington C, Erete S, Piper AM. 2019. Deconstructing community-based collaborative design: towards more equitable participatory design engagements. Proceedings of the ACM on Human-Computer Interaction 3CSCW216 New York: ACM
    [Google Scholar]
  36. 36.
    Heisler M, Choi H, Mase R, Long JA, Reeves PJ. 2019. Effectiveness of technologically enhanced peer support in improving glycemic management among predominantly African American, low-income adults with diabetes. Diabetes Educ 45:3260–71
    [Google Scholar]
  37. 37.
    Helsper EJ, van Deursen AJAM. 2017. Do the rich get digitally richer? Quantity and quality of support for digital engagement. Inform. Commun. Soc. 20:5700–14
    [Google Scholar]
  38. 38.
    Hoffman L, Wisniewski H, Hays R, Henson P, Vaidyam A et al. 2020. Digital Opportunities for Outcomes in Recovery Services (DOORS): a pragmatic hands-on group approach toward increasing digital health and smartphone competencies, autonomy, relatedness, and alliance for those with serious mental illness. J. Psychiatr. Pract. 26:280–88
    [Google Scholar]
  39. 39.
    Holt CL, Tagai EK, Santos SLZ, Scheirer MA, Bowie J et al. 2019. Web-based versus in-person methods for training lay community health advisors to implement health promotion workshops: participant outcomes from a cluster-randomized trial. Transl. Behav. Med. 9:4573–82
    [Google Scholar]
  40. 40.
    Inst. Med 2000. America's Health Care Safety Net: Intact but Endangered Washington, DC: Natl. Acad. Press
    [Google Scholar]
  41. 41.
    Jackson DN, Sehgal N, Baur C. 2022. Benefits of mHealth co-design for African American and Hispanic adults: multi-method participatory research for a health information app. JMIR Form. Res. 6:3e26764
    [Google Scholar]
  42. 42.
    Jacobs JC, Blonigen DM, Kimerling R, Slightam C, Gregory AJ et al. 2019. Increasing mental health care access, continuity, and efficiency for veterans through telehealth with video tablets. Psychiatr. Serv. 70:11976–82
    [Google Scholar]
  43. 43.
    James CV, Lyons B, Saynisch PA, Scholle SH. 2021. Modernizing race and ethnicity data in our federal health programs. Commonwealth Fund Blog Oct. 26. https://www.commonwealthfund.org/blog/2021/modernizing-race-and-ethnicity-data-our-federal-health-programs
    [Google Scholar]
  44. 44.
    Kazevman G, Mercado M, Hulme J, Somers A. 2021. Prescribing phones to address health equity needs in the COVID-19 era: the PHONE-CONNECT program. J. Med. Internet Res. 23:4e23914
    [Google Scholar]
  45. 45.
    Kolovson S, Pratap A, Duffy J, Allred R, Munson SA, Areán PA. 2020. Understanding participant needs for engagement and attitudes towards passive sensing in remote digital health studies. Int. Conf. Pervasive Comput. Technol. Healthc. 2020:347–62
    [Google Scholar]
  46. 46.
    Korin MR, Araya F, Idris MY, Brown H, Claudio L 2022. Community-based organizations as effective partners in the battle against misinformation. Front. Public Health 10:853736
    [Google Scholar]
  47. 47.
    Krist AH, Phillips R, Leykum L, Olmedo B. 2021. Digital health needs for implementing high-quality primary care: recommendations from the National Academies of Sciences, Engineering, and Medicine. J. Am. Med. Informat. Assoc. 28:122738–42
    [Google Scholar]
  48. 48.
    Lancet 2021. 50 years of the inverse care law. Lancet 397:10276767
    [Google Scholar]
  49. 49.
    Lee K, Hoti K, Hughes JD, Emmerton LM. 2014. Interventions to assist health consumers to find reliable online health information: a comprehensive review. PLOS ONE 9:4e94186
    [Google Scholar]
  50. 50.
    Levy J, Álvarez D, Rosenberg AA, Alexandrovich A, del Campo F, Behar JA. 2021. Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use. npj Digit. Med. 4:1
    [Google Scholar]
  51. 51.
    Lin Q, Paykin S, Halpern D, Martinez-Cardoso A, Kolak M. 2022. Assessment of structural barriers and racial group disparities of COVID-19 mortality with spatial analysis. JAMA Netw. Open 5:3e220984
    [Google Scholar]
  52. 52.
    Lopez KD, Chae S, Michele G, Fraczkowski D, Habibi P et al. 2021. Improved readability and functions needed for mHealth apps targeting patients with heart failure: an app store review. Res. Nurs. Health 44:171–80
    [Google Scholar]
  53. 53.
    Lyles CR, Aguilera A, Nguyen O, Sarkar U. 2022. Bridging the digital health divide: how designers can create more inclusive digital health tools Issue Brief, Calif. Health Care Found Oakland:
    [Google Scholar]
  54. 54.
    Lyles CR, Aulakh V, Jameson W, Schillinger D, Yee H, Sarkar U 2014. Innovation and transformation in California's safety-net healthcare settings: an inside perspective. Am. J. Med. Qual. 29:6538–45
    [Google Scholar]
  55. 55.
    Lyles CR, Handley MA, Ackerman SL, Schillinger D, Williams P et al. 2019. Innovative implementation studies conducted in US safety net health care settings: a systematic review. Am. J. Med. Qual. 34:3293–306
    [Google Scholar]
  56. 56.
    Lyles CR, Sarkar U, Ralston JD, Adler N, Schillinger D et al. 2013. Patient-provider communication and trust in relation to use of an online patient portal among diabetes patients: the Diabetes and Aging Study. J. Am. Med. Inform. Assoc. 20:61128–31
    [Google Scholar]
  57. 57.
    Lyles CR, Tieu L, Sarkar U, Kiyoi S, Sadasivaiah S et al. 2019. A randomized trial to train vulnerable primary care patients to use a patient portal. J. Am. Board Fam. Med. 32:2248–58
    [Google Scholar]
  58. 58.
    Lyles CR, Wachter RM, Sarkar U. 2021. Focusing on digital health equity. JAMA 326:181795–96
    [Google Scholar]
  59. 59.
    Manganello J, Gerstner G, Pergolino K, Graham Y, Falisi A, Strogatz D. 2017. The relationship of health literacy with use of digital technology for health information: implications for public health practice. J. Public Health Manag. Pract. 23:4380–87
    [Google Scholar]
  60. 60.
    McClain C, Vogels EA, Perrin A, Sechopoulos S, Rainie L. 2021. The Internet and the pandemic Rep., Pew Res. Cent Washington, DC:
    [Google Scholar]
  61. 61.
    McLeroy KR, Bibeau D, Steckler A, Glanz K. 1988. An ecological perspective on health promotion programs. Health Educ. Q. 15:4351–77
    [Google Scholar]
  62. 62.
    Meyerhoff J, Haldar S, Mohr DC. 2021. The Supportive Accountability Inventory: psychometric properties of a measure of supportive accountability in coached digital interventions. Internet Interv 25:100399
    [Google Scholar]
  63. 63.
    Moczygemba LR, Thurman W, Tormey K, Hudzik A, Welton-Arndt L, Kim E 2021. GPS mobile health intervention among people experiencing homelessness: pre-post study. JMIR mHealth uHealth 9:11e25553
    [Google Scholar]
  64. 64.
    Morgan Stanley 2019. Beyond the VC funding gap Rep., Morgan Stanley New York: https://www.morganstanley.com/content/dam/msdotcom/mcil/Morgan_Stanley_Beyond_the_VC_Funding_Gap_2019_Report.pdf
    [Google Scholar]
  65. 65.
    Muñoz AO, Camacho E, Torous J. 2021. Marketplace and literature review of Spanish language mental health apps. Front. Digit. Health 3:615366
    [Google Scholar]
  66. 66.
    Muñoz RF, Chavira DA, Himle JA, Koerner K, Muroff J et al. 2018. Digital apothecaries: a vision for making health care interventions accessible worldwide. mHealth 4:18
    [Google Scholar]
  67. 67.
    Natl. Acad. Sci. Eng. Med 2020. Community-based organizations are important partners for health care systems Brief, Natl. Acad. Sci. Eng. Med Washington, DC: https://nap.nationalacademies.org/resource/25467/Social_Care_CBOs_FINAL_05192020.pdf
    [Google Scholar]
  68. 68.
    Natl. Digit. Incl. Alliance 2022. The words behind our work: the source for definitions of digital inclusion terms. Definitions https://www.digitalinclusion.org/definitions/
    [Google Scholar]
  69. 69.
    Nguyen KH, Fields JD, Cemballi AG, Desai R, Gopalan A et al. 2021. The role of community-based organizations in improving chronic care for safety-net populations. J. Am. Board Fam. Med. 34:4698–708
    [Google Scholar]
  70. 70.
    NORC (Natl. Opin. Res. Cent.) 2010. Assessment of health IT and data exchange in safety net providers Rep., Natl. Opin. Res. Cent. (NORC), Univ. Chicago Bethesda, MD: https://aspe.hhs.gov/sites/default/files/migrated_legacy_files//43476/report.pdf
    [Google Scholar]
  71. 71.
    Nouri S, Khoong EC, Lyles CR, Karliner L. 2020. Addressing equity in telemedicine for chronic disease management during the Covid-19 pandemic. NEJM Catal May 4. https://catalyst.nejm.org/doi/full/10.1056/CAT.20.0123
    [Google Scholar]
  72. 72.
    O'Connor S, Hanlon P, O'Donnell CA, Garcia S, Glanville J, Mair FS 2016. Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies. BMC Med. Inform. Decis. Mak. 16:120
    [Google Scholar]
  73. 73.
    Papoutsi C, Wherton J, Shaw S, Morrison C, Greenhalgh T. 2021. Putting the social back into sociotechnical: case studies of co-design in digital health. J. Am. Med. Inform. Assoc. 28:2284–93
    [Google Scholar]
  74. 74.
    Peretz PJ, Islam N, Matiz LA. 2020. Community health workers and Covid-19—addressing social determinants of health in times of crisis and beyond. N. Engl. J. Med. 383:19e108
    [Google Scholar]
  75. 75.
    Perrin A. 2021. Mobile technology and home broadband 2021 Rep., Pew Res. Cent Washington, DC: https://www.pewresearch.org/internet/2021/06/03/mobile-technology-and-home-broadband-2021/
    [Google Scholar]
  76. 76.
    Pratap A, Neto EC, Snyder P, Stepnowsky C, Elhadad N et al. 2020. Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants. npj Digit. Med. 3:121
    [Google Scholar]
  77. 77.
    Roddy MK, Nelson LA, Greevy RA, Mayberry LS. 2022. Changes in family involvement occasioned by FAMS mobile health intervention mediate changes in glycemic control over 12 months. J. Behav. Med. 45:128–37
    [Google Scholar]
  78. 78.
    Rodriguez JA, Clark CR, Bates DW. 2020. Digital health equity as a necessity in the 21st Century Cures Act era. JAMA 323:232381–82
    [Google Scholar]
  79. 79.
    Rodriguez JA, Singh K. 2018. The Spanish availability and readability of diabetes apps. J. Diabetes Sci. Technol. 12:3719–24
    [Google Scholar]
  80. 80.
    Romm T. 2021. Lacking a lifeline: how a federal effort to help low-income Americans pay their phone bills failed amid the pandemic. Washington Post Feb. 9. https://www.washingtonpost.com/technology/2021/02/09/lifeline-broadband-internet-fcc-coronavirus/
    [Google Scholar]
  81. 81.
    Rudolph L, Caplan J, Ben-Moshe K, Dillon L 2013. Health in all policies: a guide for state and local governments Rep., Am. Public Health Assoc./Public Health Inst Washington, DC/Oakland, CA: https://www.apha.org/∼/media/files/pdf/factsheets/health_inall_policies_guide_169pages.ashx
    [Google Scholar]
  82. 82.
    Safavi K, Mathews SC, Bates DW, Dorsey ER, Cohen AB. 2019. Top-funded digital health companies and their impact on high-burden, high-cost conditions. Health Aff 38:1115–23
    [Google Scholar]
  83. 83.
    Sarkar U, Gourley GI, Lyles CR, Tieu L, Clarity C et al. 2016. Usability of commercially available mobile applications for diverse patients. J. Gen. Intern. Med. 31:121417–26
    [Google Scholar]
  84. 84.
    Schueller SM, Glover AC, Rufa AK, Dowdle CL, Gross GD et al. 2019. A mobile phone-based intervention to improve mental health among homeless young adults: pilot feasibility trial. JMIR mHealth uHealth 7:7e12347
    [Google Scholar]
  85. 85.
    Scutchfield F, Patrick K. 2020. Introducing the L.A.U.N.C.H. collaborative. J. Appalach. Health 2:13
    [Google Scholar]
  86. 86.
    Shaffer KM, Tigershtrom A, Badr H, Benvengo S, Hernandez M, Ritterband LM. 2020. Dyadic psychosocial ehealth interventions: systematic scoping review. J. Med. Internet Res. 22:3e15509
    [Google Scholar]
  87. 87.
    Shaw J, Agarwal P, Desveaux L, Palma DC, Stamenova V et al. 2018. Beyond “implementation”: digital health innovation and service design. npjDigit. Med 1:148
    [Google Scholar]
  88. 88.
    Sieck CJ, Sheon A, Ancker JS, Castek J, Callahan B, Siefer A. 2021. Digital inclusion as a social determinant of health. npj Digit. Med. 4:52
    [Google Scholar]
  89. 89.
    Slightam C, Gregory AJ, Hu J, Jacobs J, Gurmessa T et al. 2020. Patient perceptions of video visits using Veterans Affairs telehealth tablets: survey study. J. Med. Internet Res. 22:4e15682
    [Google Scholar]
  90. 90.
    Snowdon A. 2020. HIMSS defines digital health for the global healthcare industry. HIMSS March 2. https://www.himss.org/news/himss-defines-digital-health-global-healthcare-industry
    [Google Scholar]
  91. 91.
    Stein JN, Klein JW, Payne TH, Jackson SL, Peacock S et al. 2018. Communicating with vulnerable patient populations: a randomized intervention to teach inpatients to use the electronic patient portal. Appl. Clin. Inform. 9:4875–83
    [Google Scholar]
  92. 92.
    Stone E, Nuckley P, Shapiro R. 2020. Digital inclusion in health and care: lessons learned from the NHS Widening Digital Participation programme Rep., Good Things Found Sheffield, UK: https://www.goodthingsfoundation.org/insights/digital-participation-lessons-learned/
    [Google Scholar]
  93. 93.
    Svendsen MJ, Wood KW, Kyle J, Cooper K, Rasmussen CDN et al. 2020. Barriers and facilitators to patient uptake and utilisation of digital interventions for the self-management of low back pain: a systematic review of qualitative studies. BMJ Open 10:12e038800
    [Google Scholar]
  94. 94.
    Tao D, Shao F, Wang H, Yan M, Qu X 2020. Integrating usability and social cognitive theories with the technology acceptance model to understand young users’ acceptance of a health information portal. Health Inform. J. 26:21347–62
    [Google Scholar]
  95. 95.
    Thielke A, King V. 2020. Electronic consultations (econsults): promising evidence and policy considerations for implementation Rep., Milbank Mem. Fund New York: https://www.milbank.org/wp-content/uploads/2020/06/eConsults_Milbank_Report_v3.pdf
    [Google Scholar]
  96. 96.
    Thurman W, Semwal M, Moczygemba LR, Hilbelink M. 2021. Smartphone technology to empower people experiencing homelessness: secondary analysis. J. Med. Internet. Res. 23:9e27787
    [Google Scholar]
  97. 97.
    Turi JB. 2022. VC funding to early-stage Latine-founded startups in the US has stalled. Here's why that matters. Crunchbase News Jan. 26. https://news.crunchbase.com/startups/latinx-startup-founders-vc-funding-something-ventured/
    [Google Scholar]
  98. 98.
    Unertl KM, Schaefbauer CL, Campbell TR, Senteio C, Siek KA et al. 2016. Integrating community-based participatory research and informatics approaches to improve the engagement and health of underserved populations. J. Am. Med. Inform. Assoc. 23:160–73
    [Google Scholar]
  99. 99.
    Uscher-Pines L, Sousa J, Jones M, Whaley C, Perrone C et al. 2021. Telehealth use among safety-net organizations in California during the COVID-19 pandemic. JAMA 325:111106–7
    [Google Scholar]
  100. 100.
    van Romburgh M, Teare G. 2021. Funding to Black startup founders quadrupled in past year, but remains elusive. Crunchbase News July 13. https://news.crunchbase.com/venture/something-ventured-funding-to-black-startup-founders-quadrupled-in-past-year-but-remains-elusive
    [Google Scholar]
  101. 101.
    Velázquez PP, Gupta G, Gupte G, Carson NJ, Venter J. 2020. Rapid implementation of telepsychiatry in a safety-net health system during Covid-19 using lean. NEJM Catalyst July 17. https://catalyst.nejm.org/doi/full/10.1056/CAT.20.0319
    [Google Scholar]
  102. 102.
    Wallerstein N, Duran B. 2010. Community-based participatory research contributions to intervention research: the intersection of science and practice to improve health equity. Am. J. Public Health 100:Suppl. 1S40–46
    [Google Scholar]
  103. 103.
    Watkins I, Xie B. 2014. eHealth literacy interventions for older adults: a systematic review of the literature. J. Med. Internet Res. 16:11e225
    [Google Scholar]
  104. 104.
    Watkinson F, Dharmayat KI, Mastellos N. 2021. A mixed-method service evaluation of health information exchange in England: technology acceptance and barriers and facilitators to adoption. BMC Health Serv. Res. 21:737
    [Google Scholar]
  105. 105.
    Whealin JM, King L, Shore P, Spira J. 2017. Diverse veterans’ pre- and post-intervention perceptions of home telemental health for posttraumatic stress disorder delivered via tablet. Int. J. Psychiatry Med. 52:13–20
    [Google Scholar]
  106. 106.
    WHO (World Health Organ.) 2020. Youth-centred digital health interventions: a framework for planning, developing and implementing solutions with and for young people Rep., WHO Geneva: https://www.who.int/publications/i/item/9789240011717
    [Google Scholar]
  107. 107.
    Willett W, Aoki P, Kumar N, Subramanian S, Woodruff A. 2010. Common sense community: scaffolding mobile sensing and analysis for novice users. Int. Conf. Pervasive Comput 6030:301–18
    [Google Scholar]
  108. 108.
    Wong JIS, Steitz BD, Rosenbloom ST. 2019. Characterizing the impact of health literacy, computer ability, patient demographics, and portal usage on patient satisfaction with a patient portal. JAMIA Open 2:4456–64
    [Google Scholar]
  109. 109.
    Yardley L, Spring BJ, Riper H, Morrison LG, Crane DH et al. 2016. Understanding and promoting effective engagement with digital behavior change interventions. Am. J. Prev. Med. 51:5833–42
    [Google Scholar]
  110. 110.
    Zulman DM, Wong EP, Slightam C, Gregory A, Jacobs JC et al. 2019. Making connections: nationwide implementation of video telehealth tablets to address access barriers in veterans. JAMIA Open 2:3323–29
    [Google Scholar]
/content/journals/10.1146/annurev-publhealth-071521-023913
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