Evidence map›Paper›PMID 29503295›Full record

ArticleJournal of health care for the poor and underserved2018

A Practical Risk Stratification Approach for Implementing a Primary Care Chronic Disease Management Program in an Underserved Community.

Junjun Xu, Arletha Williams-Livingston, Anne Gaglioti, Calvin McAllister, George Rust

Abstract read
In one paragraph

Article in Journal of health care for the poor and underserved, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Interventions to Reduce Ethnic and Racial Disparities in Dyslipidemia Management.Current treatment options in cardiovascular medicine · 2019
    Review
  7. 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.

Junjun Xu
Arletha Williams-Livingston
Anne Gaglioti
Calvin McAllister
George Rust

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Renewal Application for Clinical Research Education and Career Development (CRECDR25MD007589 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI PRISCILLA E PEMU, Alexander Quarshie · 2012 to 2026
$5.4M
NCATS NIH HHS UL1 TR002378NIMHD NIH HHS R25 MD007589
6 · The paper itself

Abstract

The use of value metrics is often dependent on payer-initiated health care management incentives. There is a need for practices to define and manage their own patient panels regardless of payer to participate effectively in population health management. A key step is to define a panel of primary care patients with high comorbidity profiles. Our sample included all patients seen in an urban academic family medicine clinic over a two-year period. The simplified risk stratification was built using internal electronic health record and billing system data based on ICD-9 codes. There were 347 patients classified as high-risk out of the 5,364 patient panel. Average age was 59 years (SD 15). Hypertension (90%), hyperlipidemia (62%), and depression (55%) were the most common conditions among high-risk patients. Simplified risk stratification provides a feasible option for our team to understand and respond to the nuances of population health in our underserved community.

Indexed as

Medically Underserved AreaProgram DevelopmentAdultAgedAlgorithmsChronic DiseaseCohort StudiesFeasibility StudiesFemaleHumansMaleMiddle AgedPrimary Health CareRisk AssessmentUnited States

Identifiers

PMID29503295
PMCPMC6360936

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.