Evidence map›Paper›PMID 28566990›Full record

ArticlePerspectives in health information managemen2017

Development of a Web-Based Registry to Support Diabetes Care in Free Medical Clinics.

Norman McFadden, Bryan Daniel, Robert Hoyt, Dallas Snider

Abstract read
In one paragraph

Article in Perspectives in health information managemen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Norman McFaddenOur Lady of the Angel St. Joseph Medical Clinic in Pensacola, FL.
Bryan DanielUniversity of West Florida in Pensacola, FL.
Robert HoytCollege of Health at the University of West Florida in Pensacola, FL.
Dallas SniderHal Marcus College of Science and Engineering at the University of West Florida in Pensacola, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The United States has more than 1,000 free medical clinics. Because these clinics do not bill Medicare or Medicaid, they are not eligible for federal reimbursement for electronic health record (EHR) adoption. As a result, most do not have EHRs or electronic disease registries. A web-based diabetes registry was created with all open-source components for use in an urban free clinic to manage patients with type 2 diabetes and comorbidities. The registry was modeled after the Chronic Disease Electronic Management System and recommendations of the American Diabetes Association. The software was enhanced to include multiple other features, such as progress notes, so that it can function as a simple EHR. The configuration permits other free clinics to join securely, and the software can be shared.

Indexed as

RegistriesAdultAgedComputer SecurityConfidentialityDiabetes Mellitus, Type 2Electronic Health RecordsFemaleHumansMaleMiddle AgedPrimary Health CareSafety-net ProvidersSoftware DesignUnited StatesUser-Computer Interfacechronic diseasediabetesdiabetes registryfree clinicsopen-source

Identifiers

PMID28566990
PMCPMC5430109

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.