Evidence map›Paper›PMID 30042092›Full record

ArticleJMIR rehabilitation and assistive technologies2018

An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation.

Erh-Hsuan Wang, Leming Zhou, Szu-Han Kay Chen, Katya Hill, Bambang Parmanto

Abstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Erh-Hsuan WangSchool of Pharmacy, University of Pittsburgh, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0002-6988-4866
Leming ZhouDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0003-4398-0267
Szu-Han Kay ChenDepartment of Communication Disorders and Sciences, State University of New York at Fredonia, Fredonia, NY, United States.ORCID http://orcid.org/0000-0002-9575-5910
Katya HillDepartment of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0002-2399-1690
Bambang ParmantoDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0002-4907-8402

Funding

Harvard Prevention Research Center on Nutrition and Phy*U48DP000064 · DP · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GORTMAKER, STEVEN L · 2004 to 2009
$4.5M
NCCDPHP CDC HHS U48 DP000064
6 · The paper itself

Abstract

backgroundThe recent trend of increasing health care costs in the United States is likely not sustainable. To make health care more economically sustainable, attention must be directed toward improving the quality while simultaneously reducing the cost of health care. One of the recommended approaches to provide better care at a lower cost is to develop high-quality data collection and reporting systems, which support health care professionals in making optimal clinical decisions based on solid, extensive evidence.

objectiveThe objective of this project was to develop an integrated mobile health Augmentative and Alternative Communication (AAC) platform consisting of an AAC mobile app and a Web-based clinician portal for supporting evidence-based clinical service delivery.

methodsA questionnaire and interviews were used to collect clinicians' ideas regarding what constitutes their desired "clinically relevant" data. In response, a Web-based portal was designed by combining mobile and Web technologies with an AAC intervention to create an integrated platform for supporting data collection, integration, and reporting. Finally, a usability study was conducted with health care professionals.

resultsA Web-based portal was created and integrated with a tablet-based AAC mobile app and data analysis procedures. In the usability study, all participants agreed that the integrated platform provided the ability to collect comprehensive clinical evidence, automatically analyze collected data in real time, and generate clinically relevant performance measures through an easily accessible Web-based portal.

conclusionsThe integrated platform offers a better approach for clinical data reporting and analytics. Additionally, the platform streamlines the workflow of AAC clinical service delivery.

Indexed as

Augmentative and Alternative Communicationdata integrationservice deliveryWeb-based portal

Identifiers

PMID30042092
PMCPMC6081606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.