Evidence map›Paper›PMID 26770663›Full record

ArticleIIE transactions on healthcare systems engineering

MODELING CHRONIC DISEASE PATIENT FLOWS DIVERTED FROM EMERGENCY DEPARTMENTS TO PATIENT-CENTERED MEDICAL HOMES.

Rafael Diaz, Joshua Behr, Sameer Kumar, Bruce Britton

Abstract read
In one paragraph

Article in IIE transactions on healthcare systems engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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.

Rafael DiazOld Dominion University, Virginia Modeling, Analysis, and Simulation Center, Norfolk, United States.
Joshua BehrOld Dominion University, Virginia Modeling, Analysis, and Simulation Center, Suffolk, 23435 United States.
Sameer KumarUniversity of St. Thomas, Minneapolis, United States.
Bruce BrittonEastern Virginia Medical School, Norfolk, United States.

Funding

Policy Resistance Within a Region's Healthcare System: A System Dynamics ApR21HL109973 · NHLBI · OLD DOMINION UNIVERSITY · PI BEHR, JOSHUA G. · 2012 to 2013
$408k
NHLBI NIH HHS R21 HL109973
6 · The paper itself

Abstract

Chronic Disease is defined as a long lasting health condition, which can develop and/or worsen over an extended time, but which can also be controlled. The monetary and budgetary toll due to its persistent nature has become unsustainable and requires pressing actions to limit their incidence and burden. This paper demonstrates the utility of the System Dynamics approach to simulate the behavior of key factors involved in the implementation of chronic disease management. We model the patient flow diversion from emergency departments (ED) to patient-centered medical homes (PCMH), with emphasis on the visit rates, as well as the effect of insurance coverage, in an effort to assure continuity of quality care for Asthma patients at lower costs. The model is used as an evaluative method to identify conditions of a maintained health status through adequate policy planning, in terms of resources and capacity. This approach gives decision makers the ability to track the level of implementation of the intervention and generate knowledge about dynamics between population demands and the intervention effectiveness. The functionality of the model is demonstrated through the consideration of hypothetical scenarios executed using sensitivity analysis.

Indexed as

Ambulatory CareChronic disease managementDecision analysisIntervention effectivenessPatient Centered Medical HomeSystem dynamics modeling

Identifiers

PMID26770663
PMCPMC4709841

What OpenQuestion holds

Textmetadata
LicenceTDM
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.