Evidence map›Paper›PMID 26306251›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2015

Infobutton usage in Patient Portal MyHealth.

Jie Long, Nathan C Hulse, Cui Tao

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

3 authors.

Jie LongIntermountain Healthcare, Salt Lake City, UT.
Nathan C HulseIntermountain Healthcare, Salt Lake City, UT ; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Cui TaoUniversity of Texas School of Biomedical Informatics, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infobuttons have proven to be an important element in modern electronic health records (EHR), providing educational materials to both providers and patients. However, the usage of infobuttons in personalized health records (PHR) is only lightly documented in the literature. Patient-facing infobuttons pose a new challenge because patients have different questions and educational levels than professional users in EHRs. In this paper, we present usage data for patient-facing infobuttons that have recently been integrated in Intermountain Healthcare's patient portal MyHealth. We summarize use patterns by usage classified in modules, electronic resources (eResource), and infobutton sessions. Based on the analysis, we propose further enhancements to the current implementation of infobuttons in MyHealth.

Identifiers

PMID26306251
PMCPMC4525244

What OpenQuestion holds

Textmetadata
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.