Evidence map›Paper›PMID 28269850›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016

Integrating the patient portal into the health management work ecosystem: user acceptance of a novel prototype.

Jordan Eschler, Perry Lin Meas, Paula Lozano, Jennifer B McClure, James D Ralston, Wanda Pratt

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Barriers and facilitators of electronic patient portal uptake for asthma management.The Journal of asthma : official journal of the Association for the Care of Asthma · 2023
    Article
  5. Article
  6. Article
  7. 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

6 authors.

Jordan EschlerUniversity of Washington, Seattle, WA.
Perry Lin MeasUniversity of Washington, Seattle, WA.
Paula LozanoGroup Health Research Institute, Seattle, WA.
Jennifer B McClureGroup Health Research Institute, Seattle, WA.
James D RalstonGroup Health Research Institute, Seattle, WA.
Wanda PrattUniversity of Washington, Seattle, WA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People with a chronic illness must manage a myriad of tasks to support their health. Online patient portals can provide vital information and support in managing health tasks through notification and reminder features. However, little is known about the efficacy of these features in managing health tasks via the portal. To elicit feedback about reminder and notification features in patient portals, we employed a patient-centered approach to design new features for managing health tasks within an existing portal tool. We tested three iteratively designed prototypes with 19 patients and caregivers. Our findings provide insights into users' attitudes, behavior, and motivations in portal use. Design implications based on these insights include: (1) building on positive aspects of clinician relationships to enhance engagement with the portal; (2) using face-to-face visits to promote clinician collaboration in portal use; and (3) allowing customization of portal modules to support tasks based on user roles.

Indexed as

Attitude to ComputersAttitude to HealthPatient PortalsAdultAsthmaCaregiversChildChronic DiseaseDiabetes MellitusFemaleHumansMaleMiddle AgedMothersProfessional-Patient RelationsWashington

Identifiers

PMID28269850
PMCPMC5333335

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.