Evidence map›Paper›PMID 29410386›Full record

ArticleJournal of medical Internet research2018

Patterns in Patient Access and Utilization of Online Medical Records: Analysis of MyChart.

Donald A Redelmeier, Nicole C Kraus

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Donald A Redelmeier *Department of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-4147-3544
Nicole C Kraus *Sunnybrook Hospital, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-3684-3128

Funding

CIHR
6 · The paper itself

Abstract

backgroundElectronic patient portals provide a new method for sharing personal medical information with individual patients.

objectiveOur aim was to review utilization patterns of the largest online patient portal in Canada's largest city.

methodsWe conducted a 4-year time-trend analysis of aggregated anonymous utilization data of the MyChart patient portal at Sunnybrook Health Sciences Centre in Ontario, Canada, from January 1, 2012, through December 31, 2015. Prespecified analyses examined trends related to day (weekend vs weekday), season (July vs January), year (2012 vs 2015), and an extreme adverse weather event (ice storm of December 20-26, 2013). Primary endpoints included three measures of patient portal activity: registrations, logins, and pageviews.

resultsWe identified 32,325 patients who registered for a MyChart account during the study interval. Time-trend analysis showed no sign of attenuating registrations over time. Logins were frequent, averaged 734 total per day, and showed an increasing trend over time. Pageviews mirrored logins, averaged about 3029 total per day, and equated to about 5 pageviews during the average login. The most popular pageviews were clinical notes, followed by laboratory results and medical imaging reports. All measures of patient activity were lower on weekends compared to weekdays (P<.001) yet showed no significant changes related to seasons or extreme weather. No major security breach, malware attack, or software failure occurred during the study.

conclusionsOnline patient portals can provide a popular and reliable system for distributing personal medical information to active patients and may merit consideration for hospitals.

Indexed as

Electronic Health RecordsFemaleHumansMalePatient ParticipationPatient Portalsdoctor patient relationshipelectronic health recordspatient portalspersonal health informationshared decision making

Identifiers

PMID29410386
PMCPMC5820458

What OpenQuestion holds

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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.