Evidence map›Paper›PMID 29042345›Full record

ArticleJournal of medical Internet research2017

The Association of Patient Factors, Digital Access, and Online Behavior on Sustained Patient Portal Use: A Prospective Cohort of Enrolled Users.

Susan S Woods, Christopher W Forsberg, Erin C Schwartz, Kim M Nazi, Judith H Hibbard, Thomas K Houston, Martha Gerrity

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  4. The Effect of Patient-Facing Applications on Positive Airway Pressure Therapy Adherence: A Systematic Review.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Susan S Woods *VA Maine Healthcare System, Augusta, ME, United States.ORCID 0000-0003-4257-6879
Christopher W Forsberg *VA Portland Health Care System, Center to Improve Veteran Involvement in Care, Portland, OR, United States.ORCID 0000-0002-2800-2687
Erin C Schwartz *VA Portland Health Care System, Center to Improve Veteran Involvement in Care, Portland, OR, United States.ORCID 0000-0002-4193-9247
Kim M NaziConnected Care Office, Veterans Health Administration, U.S. Department of Veterans Affairs, Washington, DC, United States.ORCID 0000-0002-0966-5602
Judith H HibbardHealth Policy Research Group, University of Oregon, Eugene, OR, United States.ORCID 0000-0002-8376-8343
Thomas K HoustonBedford VA Medical Center, Center for Healthcare Organization and Implementation Research, Bedford, MA, United States.ORCID 0000-0002-2909-4018
Martha Gerrity *VA Portland Health Care System, Center to Improve Veteran Involvement in Care, Portland, OR, United States.ORCID 0000-0002-8772-4591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs electronic health records and computerized workflows expand, there are unprecedented opportunities to digitally connect with patients using secure portals. To realize the value of patient portals, initial reach across populations will need to be demonstrated, as well as sustained usage over time.

objectiveThe study aim was to identify patient factors associated with short-term and long-term portal usage after patients registered to access all portal functions.

methodsWe prospectively followed a cohort of patients at a large Department of Veterans Affairs (VA) health care facility who recently completed identity proofing to use the VA patient portal. Information collected at baseline encompassed patient factors potentially associated with portal usage, including: demographics, Internet access and use, health literacy, patient activation, and self-reported health conditions. The primary outcome was the frequency of portal log-ins during 6-month and 18-month time intervals after study enrollment.

resultsA total of 270 study participants were followed prospectively. Almost all participants (260/268, 97.0%) reported going online, typically at home (248/268, 92.5%). At 6 months, 84.1% (227/270) of participants had visited the portal, with some variation in usage across demographic and health-related subgroups. There were no significant differences in portal log-ins by age, gender, education, marital status, race/ethnicity, distance to a VA facility, or patient activation measure. Significantly higher portal usage was seen among participants using high-speed broadband at home, greater self-reported ability using the Internet, and routinely going online. By 18 months, 91% participants had logged in to the portal, and no significant associations were found between usage and demographics, health status, or patient activation. When examining portal activity between 6 and 18 months, patients who were infrequent or high portal users remained in those categories, respectively.

conclusionsShort-term and long-term portal usage was associated with having broadband at home, high self-rated ability when using the Internet, and overall online behavior. Digital inclusion, or ready access to the Internet and digital skills, appears to be a social determinant in patient exposure to portal services.

Indexed as

Cohort StudiesEducation, DistanceElectronic Health RecordsFemaleHumansInternetMaleMiddle AgedPatient ParticipationPatient PortalsProspective Studiesbroadbanddigital inclusionInternetpatient portalpersonal health recordsocial determinants

Identifiers

PMID29042345
PMCPMC5663951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.