Evidence map›Paper›PMID 28293604›Full record

ArticlemHealth2016

A feasibility pilot using a mobile personal health assistant (PHA) app to assist stroke patient and caregiver communication after hospital discharge.

Jason Siegel, Emily Edwards, Lesia Mooney, Christina Smith, J Brent Peel, Adam Dole, Paul Maler, W David Freeman

Abstract read
In one paragraph

Article in mHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. mHealth Intervention Applications for Adults Living With the Effects of Stroke: A Scoping Review.Archives of rehabilitation research and clinical translation · 2021
    Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jason SiegelDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Emily EdwardsDepartment of Computer Science, University College Cork, Cork, Ireland.
Lesia MooneySchool of Nursing, University College Cork, Cork, Ireland.
Christina SmithSchool of Medicine, University College Cork, Cork, Ireland.
J Brent PeelDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Adam DoleRemote Health Services, Palo Alto, CA, USA.
Paul MalerRemote Health Services, Palo Alto, CA, USA.
W David FreemanDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA;; School of Medicine, University College Cork, Cork, Ireland;; School of Pharmacy, University College Cork, Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advancements have lowered national acute stroke mortality, yet posthospital care and readmission rates remain challenges. A personal health assistant (PHA) may help manage the spectrum of posthospital care. We hypothesized that a PHA application (app) would be associated with high poststroke patient care satisfaction and might prevent hospital readmission.

methodsThis is a case series of acute stroke patients admitted to a single, tertiary care, comprehensive stroke center (Mayo Clinic, Jacksonville, Florida) who were offered a personal health assistance through a smart phone app. Patients were screened based on having a cerebrovascular event and the ability to use a necessary device. All patients received the standard poststroke discharge protocol, the PHA app, and the 30-day Likert scale survey.

resultsWe screened 21 patients and enrolled 3 (14%) before premature financial closure. Two of the 3 patients rated the app highly, and the third patient had not started using it. Of the ineligible patients, 4 had no device, 3 declined enrollment, and 2 were not able to use the device. One of the 2 patients who used the PHA app was readmitted for new stroke symptoms.

conclusionsBoth patients who used the app were very satisfied with the PHA and their posthospital care coordination. This study had an enrollment rate of about 14% due to various factors, including limited access or utilization of necessary technology. Though limited by final patient sample size and early termination from funding, this study provides useful information about developing future mobile health apps for acute stroke patients.

Indexed as

Applications (apps)mobile healthpersonal health assistant (PHA)stroke

Identifiers

PMID28293604
PMCPMC5344132

What OpenQuestion holds

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Registered trials

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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.