Evidence map›Paper›PMID 34870108›Full record

ArticleJAMIA open2021

Using a certified electronic health record technology platform to screen, test and refer patients with prediabetes.

Kate Kirley, Tamkeen Khan, Gina Aquino, Ameldia Brown, Scott Meier, Nadene Chambers, Christopher O'Connell

Abstract read
In one paragraph

Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Kate KirleyImproving Health Outcomes, American Medical Association, Chicago, Illinois, USA.
Tamkeen KhanImproving Health Outcomes, American Medical Association, Chicago, Illinois, USA.
Gina AquinoHenry Ford Health System, Detroit, Michigan, USA.
Ameldia BrownHenry Ford Health System, Detroit, Michigan, USA.
Scott MeierHenry Ford Health System, Detroit, Michigan, USA.
Nadene ChambersImproving Health Outcomes, American Medical Association, Chicago, Illinois, USA.
Christopher O'ConnellHenry Ford Health System, Detroit, Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to determine if certified electronic health record technology (CEHRT) can be used to identify and refer patients with prediabetes to lifestyle change programs (LCPs) recognized by the National Diabetes Prevention Program (DPP). This pilot utilized a prediabetes registry, patient portal, and clinical decision support to increase referrals. Data from 36 primary care providers showed 4930 patients were eligible for DPP LCP, 293 referrals were generated, compared to 20 referrals in the baseline period, and 116 patients enrolled. Referral to enrollment conversion rates were 41% in the study period and 69% in the post-study 1-year period. CEHRT functionalities can support systematic identification and management of prediabetes. The referral rate increased 7-fold compared to the baseline period, with high referral to enrollment conversion rates. CEHRT coupled with active provider engagement can serve as a tool to identify prediabetes patients and facilitate LCP referrals and enrollment.

Indexed as

electronic health recordshealth information technologyprediabetesprimary care

Identifiers

PMID34870108
PMCPMC8634514

What OpenQuestion holds

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Registered trials

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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.