Evidence map›Paper›PMID 30370072›Full record

ArticleJournal of clinical and translational science2018

Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data.

Russell E Glasgow, Bethany M Kwan, Daniel D Matlock

Registry-linked trialAbstract read
In one paragraph

Article in Journal of clinical and translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05301114 (Scaling Social Determinants of Health Screening, Social Support, and Anti-Racism Training to Reduce Inequities in Minority Cancer Survivor Health and Well-Being in Washington, D.C.), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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.

NCT05301114 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

Scaling Social Determinants of Health Screening, Social Support, and Anti-Racism Training to Reduce Inequities in Minority Cancer Survivor Health and Well-Being in Washington, D.C.

TypeinterventionalSponsorMedstar Health Research InstituteRan2022 to 2026Enrolled1,116ConditionsSocial Determinants of Health, Breast Cancer, Prostate Cancer, Health EquityArmsCommunity Health Worker support
3 · Its place in the literature

Who cites it

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

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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

3 authors.

Russell E GlasgowDepartment of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Bethany M KwanDepartment of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Daniel D MatlockDissemination and Implementation Science Program of ACCORDS (Adult and Child Consortium for Health Outcomes Research and Delivery Science, Aurora, CO, USA.

Funding

IMPlementation to Achieve Clinical Transformation (IMPACT): The Colorado Training ProgramK12HL137862 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI GLASGOW, RUSSELL E, HAVRANEK, EDWARD PAUL · 2017 to 2021
$2.9M
NHLBI NIH HHS K12 HL137862
6 · The paper itself

Abstract

Precision health and big data approaches have great potential, yet such benefits will be realized only when social and behavioral determinants of health and patient preferences are combined with genomic information. Literature review and co-author experiences informed this commentary. Validated health behavior, mental health, and patient preference measures were collected and summarized in real time. Integration of such data into existing data sets will advance precision health, patient-centered care, research, and policy.

Indexed as

electronic health recordslearning health care systempatient-centered carePrecision medicinesocial and behavioral data

Identifiers

PMID30370072
PMCPMC6202010

What OpenQuestion holds

Textmetadata
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Registered trials

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.