Published on 22.01.13 in Vol 2, No 1 (2013): Jan-Jun
Barriers and Facilitators of Online Patient Portals to Personal Health Records Among Persons Living With HIV: Formative Research
Background: Federal meaningful use standards are promoting adoption of online portals to personal health records (PHRs). However, relatively little is known regarding barriers and facilitators for vulnerable groups such as persons living with human immunodeficiency virus (PLWH).
Objective: The objective of this study was to assess barriers and facilitators to use of online PHRs among PLWH.
Methods: We conducted formative research using a written waiting room survey among 120 PLWH regarding barriers and facilitators of portal PHR use. We supplemented findings with data collected from a PLWH focus group, where some members had personal experience with use of a portal.
Results: The survey had 90 respondents. Eight PLWH participated in the focus group. Most patients (77/90, 86%) reported having at least some experience using the Internet and most expressed interest in features offered by the portal. Notably, 70% (63/90) expressed some interest in being taught how to use it to communicate with their provider. Focus group themes reinforced these findings, but also voiced concern regarding access to private computers.
Conclusions: Many PLWH in our sample have experience using computers and most are interested in PHR features. However, computer or broadband access and privacy are important barriers.
JMIR Res Protoc 2013;2(1):e8
Personal health records (PHRs), typically accessible through secure Web-based portals, represent a practical way for patients to access their health information anytime and anywhere . The federal meaningful use standards require providers to make PHRs accessible to patients [ ]. Some predict that patient portals will eventually become the primary means through which patients access their PHRs, request and cancel physician appointments, request medication refills, view test results, and exchange messages with their health care team [ ]. However, the emergence of online PHRs may worsen the disparity of health care access on the basis of the well-documented digital divide [ , ].
Mounting data point to the growing sociodemographic disparities in patients’ use of Web-based portals for PHRs [- ]. This disparity in access is particularly relevant for patients living with chronic conditions such as human immunodeficiency virus (HIV) who are a racial/ethnic minority and disproportionately poor [ ]. Data from early adopters of PHRs suggest that theses disparities in PHR use will emerge among persons living with HIV (PLWH) [ ].
Barriers to Web-enabled technology can be largely grouped into 3 categories, including cost, knowledge and attitude, and skills . Cost is the most obvious contributor. Low-income families often report they are not able to afford the cost of personal computers and monthly fees for broadband access [ ]. However, some have access to computers or the Web through friends, family, work, libraries, or handheld devices [ ]. The second contributor relates to attitude. Many nonusers report they see little value in computers and/or the Internet [ ]. This is particularly true of older persons who grew up in an era without this technology in social networks that reinforces these negative attitudes through social norms. Lastly, computer use and attitudes are shaped by self-efficacy and skill level related to computer and Internet use. Many persons with low education and older persons lack the necessary skills and confidence to access health information online [ , ]. Interestingly, neither mental health nor substance use disorders is correlated to portal use by PLWH [ ].
We conducted formative research to understand the barriers and facilitators on PLWH in using key features associated with PHRs. To obtain a more complete picture, we supplemented the survey with PLWH with input from a PLWH focus group, where members had varied experience with online PHR.
Over a 2 week period, 120 written surveys available in English and Spanish were distributed to patients 18 years and older by the front staff during their appointments at an HIV clinic that serves roughly 1000 HIV patients. Survey questions were adapted from the Health Information National Trends Survey (HINTS) and addressed barriers and facilitators of Web use and the level of interest to key PHR features, such as scheduling appointments, requesting refills, viewing test results, and exchanging electronic messages with one’s providers . The final survey contained 18 items, including patient demographic characteristics (age, sex, education, insurance, and marital status), computer access and comfort, level of interest in specific features available through patient portals, and desire for assistance. Over a 2-week period in November 2011, the survey was handed out to all patients 18 years of age or older that checked-in for an appointment.
An online PHR focus group was formed by 8 PLWH participants recruited by offices and organizations that provided care for PLWH. A trained research assistant conducted the group, which lasted for one hour. All participants provided verbal informed consent and were compensated for their time and travel. The research assistant began with a brief presentation of Web-enabled PHRs using slides that included screenshots of a PHR. (and ). The presentation was followed by a series of open-ended questions regarding barriers and facilitators of PHR use among PLWH. The research assistant concluded the group session by inviting participants to offer suggestions to improve access. Data were compiled based on an audio recording of the focus group and notes by the research assistant. The survey and focus groups were approved the University of Rochester Institutional Review board.
We examined univariate responses for each item and collapsed categories to create dichotomous categories. We compared responses across items using chi-square statistics. We examined independent associations among multiple factors using logistic regression.
Focus Group Analysis
The principal investigator KF and the research assistant analyzed the focus group using qualitative methods. We assigned participant responses to de novo categories and then developed codes for each category. These codes included specific barriers to use of PHR portals (lack of physical access, privacy concerns, computer literacy, and patient interest) and facilitators (pro-active engagement, easy-to-use technology, training, and privacy). The codes were then applied to the entire data for analysis .
Of the 90 patients (), most identified themselves as black (38/90, 43%) or 8% (7/90) Hispanic, male (54/90, 61%), 64% had a high school education or less and 38% indicated they had Medicaid as their primary insurance coverage, with 22% having private insurance and 20% relying on the AIDS Drug Assistance Program (ADAP). Thus, while we did not ask about income, based on educational levels and insurance, the sample is likely low-income.
Surprisingly, most respondents reported at least monthly Internet use despite only about half owning a computer (). Other means for accessing the Internet access included a smartphone, work, friend, family, or library computer. Barriers cited by respondents were cost (16/90, 18%), lack of interest (6/90, 22%) and do not know how to use (5/90, 19%).
Most respondents reported at least some interest in obtaining test results and scheduling appointments online (). In addition, most (77/90, 86%) reported they would use the computer if available on-site at the clinic and most (54/90, 70%) expressed an interest in being taught how to use a patient portal to communicate with their provider. In multivariate analysis, no single factor was statistically associated with interest in PHRs suggesting that interest was distributed across all groups fairly equally. However, participants who reported more interest in PHR features were significantly more likely to report interest in being taught how to communicate with their providers (P<.001).
Focus Group Findings
The focus group participants cited the lack of Internet access and not knowing how to use these online PHRs as barriers, but mentioned an additional barrier to use of online portals—privacy when accessing a portal outside of one’s home. Most of the participants reported they did not have home Web access. While the group acknowledged the availability of Web access through libraries and homes of friends and family, most were concerned about using a public computer or a computer in someone else’s home to access PHR. One participant commented, “You wouldn’t try to access your online bank account in public. Why would you access your personal health record there?” When asked about use of computers within clinics, participants preferred use of a small hand held device such as an iPad to that of a desktop computer because they felt it would be easier to preserve privacy by concealing personal information on the screen and also easier to learn to use. When the issue of computer literacy was raised, participants agreed that this represented a barrier but did not view it as insurmountable. Many felt that it would be feasible to train patients in 10-15 minutes to use a touch screen device such an iPad on-site at clinics.
PLWH in our sample reported notable interest in use of Web-enabled PHRs. This finding is consistent with findings from national surveys that document significant interest in PHRs [, ]. It bodes well for greater engagement of PLWH in their self-management and is a means for potentially improving medication adherence through greater self-monitoring of test results, efficient medication refills, and greater access to providers through electronic messaging. Yet, promoting adoption of PHRs will require addressing key barriers including knowledge, attitudes, access, cost, skills, and self-efficacy. These barriers identified in our survey are broadly similar to those from the national survey, which included lack of perceived need, costs, time required, and lack of interest in computers [ ]. In addition, patients in the national surveys cited concerns with privacy [ ]. This concern also emerged from the focus group in the context of using a public computer.
Ensuring that unequal adoption of Web-based PHRs does not worsen existing disparities requires practical strategies to address incentives and various barriers . The first barrier identified by our participants was physical access, which is driven in part by the cost of computers and monthly broadband access fees. This might be mitigated if public libraries and medical providers offered on-site access to Web-enabled devices. However, it means offering this access in ways that protect the privacy of those accessing their PHR while they are viewing their health information.
Second, the barriers of computer skills and self-efficacy need to be resolved . Most patients expressed interest in on-site guidance and instruction. Given relatively low rates of use of PHRs (when available) including by PLWH and emerging disparities [ - , - ], pro-active engagement of patients with limited computer literacy coupled to basic hands-on instruction may be needed to forestall these disparities [ ]. Personal demonstration and role modeling use of the technology may spark interest among those with limited knowledge about PHRs and among those who see limited benefit. Our findings suggest that patients will welcome on-site availability and instruction provided that their privacy is ensured.
These findings are limited by our methods. Our sample was based on recruitment from a waiting room. This precludes assessment of response bias. Thus, it is possible that patients with the lowest computer literacy might have been less likely to respond, perhaps viewing the survey as less relevant to them. Similarly, we recruited patients from a single practice. Although the demographic characteristics of the responders are similar to that of PLWH nationally we cannot be sure that the findings generalize to other settings. Last, we conducted only one focus group. It is possible that additional themes would emerge with additional groups.
In conclusion these findings provide cause for some cautious optimism. They suggest that PLWH are interested in features offered by PHR, but that significant barriers remain. Some of these barriers can potentially be overcome through on-site online PHR access coupled to training.
This study was supported by the Center to Reduce Cancer Health Disparities of NCI (3U01CA116924-05S1,S4), The University of Rochester Center for Community Health, the University of Rochester Developmental Center for AIDS Research Grant P30 AI078498 (NIH/NIAID), and the University of Rochester School of Medicine and Dentistry.
Conflicts of Interest
- Bates DW, Bitton A. The future of health information technology in the patient-centered medical home. Health Aff (Millwood) 2010 Apr;29(4):614-621. [CrossRef] [Medline]
- Blumenthal D, Tavenner M. The "meaningful use" regulation for electronic health records. N Engl J Med 2010 Aug 5;363(6):501-504. [CrossRef] [Medline]
- Viswanath K, Ackerson LK. Race, ethnicity, language, social class, and health communication inequalities: a nationally-representative cross-sectional study. PLoS One 2011;6(1):e14550 [FREE Full text] [CrossRef] [Medline]
- Gilmour JA. Reducing disparities in the access and use of Internet health information. a discussion paper. Int J Nurs Stud 2007 Sep;44(7):1270-1278. [CrossRef] [Medline]
- 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 Mar 28;171(6):568-574. [CrossRef] [Medline]
- Sarkar U, Karter AJ, Liu JY, Adler NE, Nguyen R, López 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 May 1;18(3):318-321 [FREE Full text] [CrossRef] [Medline]
- Byczkowski TL, Munafo JK, Britto MT. Variation in use of Internet-based patient portals by parents of children with chronic disease. Arch Pediatr Adolesc Med 2011 May;165(5):405-411. [CrossRef] [Medline]
- McInnes DK, Gifford AL, Kazis LE, Wagner TH. Disparities in health-related internet use by US veterans: results from a national survey. Inform Prim Care 2010;18(1):59-68. [Medline]
- Lansky A, Brooks JT, DiNenno E, Heffelfinger J, Hall HI, Mermin J. Epidemiology of HIV in the United States. J Acquir Immune Defic Syndr 2010 Dec;55 Suppl 2:S64-S68. [CrossRef] [Medline]
- Kahn JS, Hilton JF, Van Nunnery T, Leasure S, Bryant KM, Hare CB, et al. Personal health records in a public hospital: experience at the HIV/AIDS clinic at San Francisco General Hospital. J Am Med Inform Assoc 2010;17(2):224-228 [FREE Full text] [CrossRef] [Medline]
- Horrigan JB. Broadband AdoptionUse in America. OBI Working Paper Series No 1. Washington, D. C.: Federal Communications Division; 2011. URL: http://online.wsj.com/public/resources/documents/FCCSurvey.pdf [accessed 2013-01-12] [WebCite Cache]
- Kaiser Family Foundation. e-Healththe elderly: How seniors use the internet for health information. Washington, D. C.: Henry J Kaiser Family Foundation; 2005. URL: http://www.kff.org/entmedia/upload/e-Health-and-the-Elderly-How-Seniors-Use-the-internet-for-Health-Information-Key-Findings-From-a-National-Survey-of-Older-Americans-Survey-Report.pdf [accessed 2013-01-12] [WebCite Cache]
- Hilton JF, Barkoff L, Chang O, Halperin L, Ratanawongsa N, Sarkar U, et al. A cross-sectional study of barriers to personal health record use among patients attending a safety-net clinic. PLoS One 2012;7(2):e31888 [FREE Full text] [CrossRef] [Medline]
- National Cancer Institute. 2012. HINTS: Health Information National Trends Survey URL: http://hints.cancer.gov/reports.aspx [accessed 2012-11-16] [WebCite Cache]
- Crabtree BF, Miller WL. Doing qualitative research. Thousand Oaks, Calif: Sage Publications; 1999.
- Markle. 2011. The Public and Doctors Largely Agree Patients Should Be Able To View, Download and Share Their Health Info URL: http://www.markle.org/sites/default/files/4_ConsumerAccess.pdf [accessed 2013-01-21] [WebCite Cache]
- Wen KY, Kreps G, Zhu F, Miller S. Consumers' perceptions about and use of the internet for personal health records and health information exchange: analysis of the 2007 Health Information National Trends Survey. J Med Internet Res 2010;12(4):e73 [FREE Full text] [CrossRef] [Medline]
- California Health Foundation. California: . Oakland, CA. Health Foundation; 2010. ConsumersHealth Information Technology: A National Survey URL: http://www.chcf.org/publications/2010/04/consumers-and-health-information-technology-a-national-survey?view=print [accessed 2012-11-16] [WebCite Cache]
- Kieschnick T, Raymond B. Kaiser Permanente Institute for Health Policy. Oakland, CA; 2011 Mar. Can Health IT Promote Health Equityand Patient-Centered Care? URL: http://www.amia.org/sites/amia.org/files/Roundtable-Background-Paper-2011.pdf [accessed 2013-01-21] [WebCite Cache]
- Peterson NB, Dwyer KA, Mulvaney SA. Computer and internet use in a community health clinic population. Med Decis Making 2009;29(2):202-206. [CrossRef] [Medline]
- Roblin DW, Houston TK, Allison JJ, Joski PJ, Becker ER. Disparities in use of a personal health record in a managed care organization. J Am Med Inform Assoc 2009;16(5):683-689 [FREE Full text] [CrossRef] [Medline]
- 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 Oct;26(10):1112-1116 [FREE Full text] [CrossRef] [Medline]
- Ancker JS, Barrón Y, Rockoff ML, Hauser D, Pichardo M, Szerencsy A, et al. Use of an electronic patient portal among disadvantaged populations. J Gen Intern Med 2011 Oct;26(10):1117-1123 [FREE Full text] [CrossRef] [Medline]
- 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 [FREE Full text] [CrossRef] [Medline]
|ADAP: AIDS drug assistance program|
|HINTS: Health Information National Trends Survey|
|HIV: human immunodeficiency virus|
|PHR: personal health record|
|PLWH: person living with HIV|
Edited by G Eysenbach; submitted 08.08.12; peer-reviewed by J Gilmour, T Kieschnick; comments to author 16.10.12; revised version received 30.11.12; accepted 12.12.12; published 22.01.13
©Amneris E Luque, Adjuah van Keken, Paul Winters, Michael C Keefer, Mechelle Sanders, Kevin Fiscella. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 22.01.2013.
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