Evidence map›Paper›PMID 32577152›Full record

ArticleOnline journal of public health informatics2020

The Population Health OutcomEs aNd Information EXchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease.

Steven J Korzeniewski, Carla Bezold, Jason T Carbone, Shooshan Danagoulian, Bethany Foster, Dawn Misra, Maher M El-Masri, Dongxiao Zhu, Robert Welch, Lauren Meloche and 2 more

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Increased Density of Mobile Health Unit Encounters Among Primary Care Health Professional Shortage Areas.International journal of environmental research and public health · 2026
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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

12 authors.

Steven J Korzeniewski1Wayne State University, 2Detroit Health Department.
Carla Bezold1Wayne State University, 2Detroit Health Department.
Jason T Carbone1Wayne State University, 2Detroit Health Department.
Shooshan Danagoulian1Wayne State University, 2Detroit Health Department.
Bethany Foster1Wayne State University, 2Detroit Health Department.
Dawn Misra1Wayne State University, 2Detroit Health Department.
Maher M El-Masri1Wayne State University, 2Detroit Health Department.
Dongxiao Zhu1Wayne State University, 2Detroit Health Department.
Robert Welch1Wayne State University, 2Detroit Health Department.
Lauren Meloche1Wayne State University, 2Detroit Health Department.
Alex B Hill1Wayne State University, 2Detroit Health Department.
Phillip Levy1Wayne State University, 2Detroit Health Department.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This concept article introduces a transformative vision to reduce the population burden of chronic disease by focusing on data integration, analytics, implementation and community engagement. Known as PHOENIX (The Population Health OutcomEs aNd Information EXchange), the approach leverages a state level health information exchange and multiple other resources to facilitate the integration of clinical and social determinants of health data with a goal of achieving true population health monitoring and management. After reviewing historical context, we describe how multilevel and multimodal data can be used to facilitate core public health services, before discussing the controversies and challenges that lie ahead.

Indexed as

data integrationelectronic health recordepidemiologyHealth information exchangesocial determinants of healthtranslational science

Identifiers

PMID32577152
PMCPMC7295585

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.