Evidence map›Paper›PMID 32308912›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

Improving the Odds of Success for Precision Medicine Using the Social Ecological Model.

Scott P McGrath

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Desiderata for High Quality AMIA Presentation Files.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Review
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

1 author.

Scott P McGrathUniversity of Nebraska at Omaha, Omaha, NE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of precision medicine aims to provide additional context to patient data for healthcare providers A decade after the HITECH act of 2009, the state of EHRs can be considered a mixed bag. Increased levels of physician burnout have been attributed to the impact EHRs have had on traditional patient and provider interactions. In order for precision medicine to be allowed to establish a foothold, it must demonstrate the ability to improve clinical outcomes. One path to achieving this is by improving health behavior, which is a difficult task. In this paper, the case is presented for using the social ecological model to help shift health behaviors with precision medicine.

Indexed as

Health BehaviorPrecision MedicineSocial MedicineElectronic Health RecordsHumansModels, Psychological

Identifiers

PMID32308912
PMCPMC7153092

What OpenQuestion holds

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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.