Abstract
Objectives
Personal health records (PHR) use has improved individuals’ health outcomes. The adoption of PHR remains low with documented racial disparities. We aim to determine factors associated with reducing racial and ethnic disparities among Hispanic adults in PHR use.
Methods
Participants included non-Hispanic White (NHW) and Hispanic adults (age ≥ 18 years) enrolled in Health Information National Trends Survey in 2018 and 2019. We identified PHR use as online medical record access in the last 12 months. We considered three factors (1. accessing mHealth Apps on the phone, 2. having a usual source of care, and 3. electronically communicating (e-communication) with healthcare providers) as facilitating PHR use. Multivariable logistic regressions with replicate weights were analyzed to determine factors associated with racial/ethnic disparities in PHR use after controlling for general characteristics (i.e., sex, age, education, insurance status, and income).
Results
A lower percentage of Hispanics than NHWs used PHR (42.0% vs. 53.5%, P < .001). When adjusted for individual general characteristics, the adjusted odds ratio (AOR) of e-communication with healthcare providers associated with PHR use was 1.49 (1.19–1.86, P < .001), AOR was 2.06 (1.62–2.6, P < .001) on accessing to mHealth App, and 2.60 (1.86–3.63, P < .001) on having a usual source of care. However, the racial difference was not statistically significant after adjusting three factors promoting PHR use (AOR = 0.90, 95% CI = 0.66, 1.22, P = .48).
Conclusions
Ethnic disparities were reduced when PHR use was facilitated by having a usual source of care, active e-communication, and having access to mHealth apps. Interventions focusing on these three factors may potentially reduce racial/ethnic disparities.
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References
Hsiao CJ, Hing E, Socey TC, Cai B. Electronic health record systems and intent to apply for meaningful use incentives among office-based physician practices: United States, 2001–2011. NCHS Data Brief. 2011;79:1–8.
Hsiao CJ, Hing E, Ashman J. Trends in electronic health record system use among office-based physicians: United States, 2007–2012. Natl Health Stat Report. 2014;75:1–18.
Lester M, Boateng S, Studeny J, Coustasse A. Personal health records: beneficial or burdensome for patients and healthcare providers? Perspect Health Inf Manag. 2016;13:1h.
Irizarry T, DeVito DA, Curran CR. Patient portals and patient engagement: a state of the science review. J Med Internet Res. 2015;17(6):e148.
Zhao JY, Song B, Anand E, Schwartz D, Panesar M, Jackson GP, et al. Barriers, facilitators, and solutions to optimal patient portal and personal health record use: a systematic review of the literature. AMIA Annu Symp Proc. 2017;2017:1913–22.
Davis S, Roudsari A, Raworth R, Courtney KL, MacKay L. Shared decision-making using personal health record technology: a scoping review at the crossroads. J Am Med Inform Assoc. 2017;24(4):857–66.
The Office of the National Coordinator for Health Information Technology. Health IT Dash board. https://dashboardhealthitgov/quickstats/quickstats2019
Patel V, Johnson C. Individual's use of online medical records and technology for health needs. ONC Data Breif: Office of the National Coordinator for Health Information Technology: Washington DC 2018; 40.
Henry J, Pylepchuk Y, Searcy T, Patel V. Adoption of electronic health record systems among US non-federal acute care hospitals: 2008–2015. ONC Data Breif: Office of the National Coordinator for Health Information Technology: Washington DC 2016; 35.
Hong YA, Jiang S, Liu PL. Use of patient portals of electronic health records remains low from 2014 to 2018: results from a national survey and policy implications. Am J Health Promot. 2020;34(6):677–80.
Furukawa MF, King J, Patel V, Hsiao CJ, Adler-Milstein J, Jha AK. Despite substantial progress In EHR adoption, health information exchange and patient engagement remain low in office settings. Health Aff (Millwood ). 2014;33(9):1672–9.
Nazi KM, Hogan TP, McInnes DK, Woods SS, Graham G. Evaluating patient access to electronic health records: results from a survey of veterans. Med Care. 2013;51(3 Suppl 1):S52–6.
Goel MS, Brown TL, Williams A, Cooper AJ, Hasnain-Wynia R, Baker DW. Patient reported barriers to enrolling in a patient portal. J Am Med Inform Assoc. 2011;18(Suppl 1):i8-12.
Goel MS, Brown TL, Williams A, Hasnain-Wynia R, Thompson JA, Baker DW. Disparities in enrollment and use of an electronic patient portal. J Gen Intern Med. 2011;26(10):1112–6.
Jung SY, Lee K, Hwang H, Yoo S, Baek HY, Kim J. Support for sustainable use of personal health records: understanding the needs of users as a first step towards patient-driven mobile health. JMIR Mhealth Uhealth. 2017;5(2):e19.
Patel VN, Abramson E, Edwards AM, Cheung MA, Dhopeshwarkar RV, Kaushal R. Consumer attitudes toward personal health records in a beacon community. Am J Manag Care. 2011;17(4):e104–20.
Gordon NP, Hornbrook MC. Differences in access to and preferences for using patient portals and other ehealth technologies based on race, ethnicity, and age: a database and survey study of seniors in a large health plan. J Med Internet Res. 2016;18(3):e50.
Sarkar U, Karter AJ, Liu JY, Adler NE, Nguyen R, Lopez A, et al. Social disparities in internet patient portal use in diabetes: evidence that the digital divide extends beyond access. J Am Med Inform Assoc. 2011;18(3):318–21.
Ronda MC, Dijkhorst-Oei LT, Rutten GE. Reasons and barriers for using a patient portal: survey among patients with diabetes mellitus. J Med Internet Res. 2014;16(11):e263.
Kannry J, Beuria P, Wang E, Nissim J. Personal health records: meaningful use, but for whom? Mt Sinai J Med. 2012;79(5):593–602.
Ochoa C, Baron-Lee J, Popescu C, Busl KM. Electronic patient portal utilization by neurology patients and association with outcomes. Health Informatics J. 2020;26(4):2751–61.
Wallace LS, Angier H, Huguet N, Gaudino JA, Krist A, Dearing M, et al. Patterns of electronic portal use among vulnerable patients in a nationwide practice-based research network: from the OCHIN practice-based research network (PBRN). J Am Board Fam Med. 2016;29(5):592–603.
Fix GM, Hogan TP, Amante DJ, McInnes DK, Nazi KM, Simon SR. Encouraging patient portal use in the patient-centered medical home: three stakeholder perspectives. J Med Internet Res. 2016;18(11):e308.
Graetz I, Gordon N, Fung V, Hamity C, Reed ME. The digital divide and patient portals: internet access explained differences in patient portal use for secure messaging by age, race, and income. Med Care. 2016;54(8):772–9.
Yamin CK, Emani S, Williams DH, Lipsitz SR, Karson AS, Wald JS, et al. The digital divide in adoption and use of a personal health record. Arch Intern Med. 2011;171(6):568–74.
Ancker JS, Witteman HO, Hafeez B, Provencher T, Van de Graaf M, Wei E. “You Get reminded you’re a sick person”: personal data tracking and patients with multiple chronic conditions. J Med Internet Res. 2015;17(8):e202.
DesRoches CM, Leveille S, Bell SK, Dong ZJ, Elmore JG, Fernandez L, et al. The views and experiences of clinicians sharing medical record notes with patients. JAMA Netw Open. 2020;3(3):e201753.
Lye CT, Forman HP, Daniel JG, Krumholz HM. The 21st Century Cures Act and electronic health records one year later: will patients see the benefits? J Am Med Inform Assoc. 2018;25(9):1218–20.
DesRoches CM. Healthcare in the new age of transparency. Semin Dial. 2020;33(6):533–8.
Humphries RM, Ferraro MJ, Hindler JA. Impact of 21st Century Cures Act on breakpoints and commercial antimicrobial susceptibility test systems: progress and pitfalls. J Clin Microbiol 2018; 56(5).
von E E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. PLoS Med. 2007;4(10):e296.
Flanagin A, Frey T, Christiansen SL. Updated guidance on the reporting of race and ethnicity in medical and science journals. JAMA. 2021;326(7):621–7.
Vydra TP, Cuaresma E, Kretovics M, Bose-Brill S. Diffusion and use of tethered personal health records in primary care. Perspect Health Inf Manag. 2015;12:1c.
Baldwin JL, Singh H, Sittig DF, Giardina TD. Patient portals and health apps: pitfalls, promises, and what one might learn from the other. Healthc (Amst). 2017;5(3):81–5.
Zhong X, Park J, Liang M, Shi F, Budd PR, Sprague JL, et al. Characteristics of patients using different patient portal functions and the impact on primary care service utilization and appointment adherence: retrospective observational study. J Med Internet Res. 2020;22(2):e14410.
Finney Rutten LJ, Blake KD, Skolnick VG, Davis T, Moser RP, Hesse BW. Data resource profile: the national cancer institute’s health information national trends survey (HINTS). Int J Epidemiol. 2020;49(1):17–17j.
Bender MS, Choi J, Arai S, Paul SM, Gonzalez P, Fukuoka Y. Digital technology ownership, usage, and factors predicting downloading health apps among Caucasian, Filipino, Korean, and Latino Americans: the digital link to health survey. JMIR Mhealth Uhealth. 2014;2(4):e43.
Hong YA, Cho J. Has the digital health divide widened? Trends of health-related internet use among older adults from 2003 to 2011. J Gerontol B Psychol Sci Soc Sci. 2017;72(5):856–63.
Lorence DP, Park H, Fox S. Racial disparities in health information access: resilience of the digital divide. J Med Syst. 2006;30(4):241–9.
Kim EH, Stolyar A, Lober WB, Herbaugh AL, Shinstrom SE, Zierler BK, et al. Challenges to using an electronic personal health record by a low-income elderly population. J Med Internet Res. 2009;11(4):e44.
Garrido T, Kanter M, Meng D, Turley M, Wang J, Sue V, et al. Race/ethnicity, personal health record access, and quality of care. Am J Manag Care. 2015;21(2):e103–13.
Korpershoek YJG, Vervoort SCJM, Trappenburg JCA, Schuurmans MJ. Perceptions of patients with chronic obstructive pulmonary disease and their health care providers towards using mHealth for self-management of exacerbations: a qualitative study. BMC Health Serv Res. 2018;18(1):757.
Greenberg AJ, Falisi AL, Finney Rutten LJ, Chou WS, Patel V, Moser RP, et al. Access to electronic personal health records among patients with multiple chronic conditions: a secondary data analysis. J Med Internet Res. 2017;19(6):e188.
Dutta B, Peng MH, Sun SL. Modeling the adoption of personal health record (PHR) among individual: the effect of health-care technology self-efficacy and gender concern. Libyan J Med. 2018;13(1):1500349.
Alanazi A, Anazi YA. The challenges in personal health record adoption. J Healthc Manag. 2019;64(2):104–9.
Kooij L, Groen WG, van Harten WH. Barriers and facilitators affecting patient portal implementation from an organizational perspective: qualitative study. J Med Internet Res. 2018;20(5):e183.
Lyles CR, Tieu L, Sarkar U, Kiyoi S, Sadasivaiah S, Hoskote M, et al. A randomized trial to train vulnerable primary care patients to use a patient portal. J Am Board Fam Med. 2019;32(2):248–58.
Navaneethan SD, Jolly SE, Schold JD, Arrigain S, Nakhoul G, Konig V, et al. Pragmatic randomized, controlled trial of patient navigators and enhanced personal health records in CKD. Clin J Am Soc Nephrol. 2017;12(9):1418–27.
Greysen SR, Harrison JD, Rareshide C, Magan Y, Seghal N, Rosenthal J, et al. A randomized controlled trial to improve engagement of hospitalized patients with their patient portals. J Am Med Inform Assoc. 2018;25(12):1626–33.
Mafi JN, Mejilla R, Feldman H, Ngo L, Delbanco T, Darer J, et al. Patients learning to read their doctors’ notes: the importance of reminders. J Am Med Inform Assoc. 2016;23(5):951–5.
Stein JN, Klein JW, Payne TH, Jackson SL, Peacock S, Oster NV, et al. Communicating with vulnerable patient populations: a randomized intervention to teach inpatients to use the electronic patient portal. Appl Clin Inform. 2018;9(4):875–83.
Nijland N, van Gemert-Pijnen JE, Kelders SM, Brandenburg BJ, Seydel ER. Factors influencing the use of a Web-based application for supporting the self-care of patients with type 2 diabetes: a longitudinal study. J Med Internet Res. 2011;13(3):e71.
Zarcadoolas C, Vaughon WL, Czaja SJ, Levy J, Rockoff ML. Consumers’ perceptions of patient-accessible electronic medical records. J Med Internet Res. 2013;15(8):e168.
Shaw CL, Casterline GL, Taylor D, Fogle M, Granger B. Increasing health portal utilization in cardiac ambulatory patients: a pilot project. Comput Inform Nurs. 2017;35(10):512–9.
Weisner CM, Chi FW, Lu Y, Ross TB, Wood SB, Hinman A, et al. Examination of the effects of an intervention aiming to link patients receiving addiction treatment with health care: the LINKAGE clinical trial. JAMA Psychiat. 2016;73(8):804–14.
Mitchell B, Begoray DL. Electronic personal health recors that promote self-management in chronic illness. OJIN: The online journal of Issues in Nursing 2010; 15(3).
Archer N, Fevrier-Thomas U, Lokker C, McKibbon KA, Straus SE. Personal health records: a scoping review. J Am Med Inform Assoc. 2011;18(4):515–22.
Abd-Alrazaq AA, Bewick BM, Farragher T, Gardner P. Factors that affect the use of electronic personal health records among patients: a systematic review. Int J Med Inform. 2019;126:164–75.
Bates DW. Improving uptake and use of personal health records. In: 2012. https://digital.ahrq.gov/sites/default/files/docs/publication/r18hs018656-bates-final-report-2012.pdf
Park YR, Lee Y, Kim JY, Kim J, Kim HR, Kim YH, et al. Managing patient-generated health data through mobile personal health records: analysis of usage data. JMIR Mhealth Uhealth. 2018;6(4):e89.
Funding
This research was, in part, funded by the National Institutes of Health (NIH) Agreement No. 1OT2OD032581-01 (Usha Sambamoorthi) and the National Institute on Minority Health and Health Disparities through the Texas Center for Health Disparities (NIMHD), 5U54MD006882-10 (Hao Wang and Usha Sambamoorthi). The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the NIH.
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Hao Wang: conceptualization, methodology, validation, formal analysis, investigation, data curation, writing-original draft, writing—review and editing, project administration. Sydney E. Manning: conceptualization, investigation, writing—review and editing. Amy F. Ho: conceptualization, investigation, writing—review and editing. Usha Sambamoorthi: conceptualization, investigation, methodology, validation, formal analysis, data curation, writing—review and editing, supervision.
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This is an observational study. The University of North Texas Health Science Center Regional Institutional Review Board has confirmed that no ethical approval is required (IRB, No.1705528–1).
Competing Interests
Hao Wand and Usha Sambamoorthi received funding from the National Institutes of Health (NIH). Sydney Manning and Amy Ho declare they have no financial interests.
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Wang, H., Manning, S.E., Ho, A.F. et al. Factors Associated with Reducing Disparities in Electronic Personal Heath Records Use Among Non-Hispanic White and Hispanic Adults. J. Racial and Ethnic Health Disparities 10, 1201–1211 (2023). https://doi.org/10.1007/s40615-022-01307-5
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DOI: https://doi.org/10.1007/s40615-022-01307-5