Evidence map›Paper›PMID 25243350›Full record

ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2014

Patterns of response to patient-centered decision support through a personal health record.

Rachel Hess, Gary S Fischer, Sarah M Sullivan, XinXin Dong, Melissa Weimer, Caroline Zeith, Sunday Clark, Mark S Roberts

Open access · greenAbstract read
In one paragraph

Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Tablet distribution to veterans: an opportunity to increase patient portal adoption and use.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  7. Article
  8. Review
  9. Shared decision-making using personal health record technology: a scoping review at the crossroads.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  10. Patients learning to read their doctors' notes: the importance of reminders.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  11. Review
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

8 authors at 2 institutions in 1 country.

Rachel Hess1 Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine , Pittsburgh, Pennsylvania.
Gary S Fischer
Sarah M Sullivan
XinXin Dong
Melissa Weimer
Caroline Zeith
Sunday Clark
Mark S Roberts
University of Pittsburgh · USCornell University · US

Funding

Self Management & Reminders with Technology: SMART Appraisal of an Integrated PHRR18HS018167 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROBERTS, MARK STENIUS · 2009 to 2011
$1.2M
AHRQ HHS R18-HS018167
6 · The paper itself

Abstract

backgroundOver 140 million people in the United States have at least one chronic medical condition, but they receive fewer than 60% of guideline-recommended services for these conditions. Increasing patients' involvement in their own care may improve the receipt of guideline-recommended services. We evaluated patients' patterns of responses to notifications regarding guideline-recommended services delivered through a personalized health record (PHR). MATERIALS AND

methodsWe enrolled 584 participants with high cardiovascular disease risk from 73 primary care practices into an active PHR in which they received patient-centered decision support-notifications delivered via a PHR regarding prevention gaps (i.e., unmet preventive healthcare or chronic disease monitoring). Participants with prevention gaps received up to three weekly messages regarding all services due within a 2-month time frame. These three-message cycles could repeat up to every 2 months for a new, or continuing, prevention gap.

resultsOf the 584 participants, 501 (86%) received at least one reminder. Approximately 61% of these participants accessed the PHR or received the care that triggered the message after the first message and 73% after the first two messages. In subsequent three-message cycles, we observed no change in the number of messages required prior to participants accessing the PHR or receiving recommended care (chi-squared = 12.4, p = 0.3). Of the 2,656 prevention gaps these participants had over 1 year, 1,539 (58%) were closed.

conclusionsIn this low-intensity intervention, participants accessed the PHR and received recommended care. Providing notification through the PHR allows patients to choose when they receive, and take action on, the message. Notifications can be provided to patients through a PHR without alert fatigue and may be an additional tool to help patients achieve better health.

Indexed as

Decision Support TechniquesHealth Records, PersonalPatient-Centered CarePatient Education as TopicReminder SystemsCardiovascular DiseasesDisease ManagementFemaleHumansMaleMiddle AgedPennsylvaniaPrimary Health CareSelf CareUnited Stateschronic diseasehealth information technologypatient activationpatient engagement

Identifiers

PMID25243350
PMCPMC4229691
OpenAlexW2323661579

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.