Evidence map›Paper›PMID 32200730›Full record

ArticleJournal of the American Heart Association2020

Leveraging the Electronic Health Records for Population Health: A Case Study of Patients With Markedly Elevated Blood Pressure.

Yuan Lu, Chenxi Huang, Shiwani Mahajan, Wade L Schulz, Khurram Nasir, Erica S Spatz, Harlan M Krumholz

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  17. Patient Portal Frequency of Use in Patients with Hypertension and Diabetes.Journal of the American Board of Family Medicine : JABFM
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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.

Yuan LuCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.
Chenxi HuangCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.
Shiwani MahajanCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.
Wade L SchulzCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.
Khurram NasirDivision of Cardiovascular Prevention & Wellness Houston Methodist DeBakey Heart & Vascular Center Center for Outcomes Research Houston Methodist Houston TX.
Erica S SpatzCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.
Harlan M KrumholzCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Scholars in Implementation Science (YSIS)K12HL138037 · NHLBI · YALE UNIVERSITY · PI SHARIFI, MAHNOOSH · 2017 to 2021
$3.0M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K12 HL138037
6 · The paper itself

Abstract

Background The digital transformation of medical data provides opportunities to perform digital population health surveillance and identify people inadequately managed in usual care. We leveraged the electronic health records of a large health system to identify patients with markedly elevated blood pressure and characterize their follow-up care pattern. Methods and Results We included 373 861 patients aged 18 to 85 years, who had at least 1 outpatient encounter in the Yale New Haven Health System between January 2013 and December 2017. We described the prevalence and follow-up pattern of patients with at least 1 systolic blood pressure (SBP) ≥160 mm Hg or diastolic blood pressure (DBP) ≥100 mm Hg and patients with at least 1 SBP ≥180 mm Hg or DBP ≥120 mm Hg. Of 373 861 patients included, 56 909 (15.2%) had at least 1 SBP ≥160 mm Hg or DBP ≥100 mm Hg, and 10 476 (2.8%) had at least 1 SBP ≥180 mm Hg or DBP ≥120 mm Hg. Among patients with SBP ≥160 mm Hg or DBP ≥100 mm Hg, only 28.3% had a follow visit within 1 month (time window of follow-up recommended by the guideline) and 19.9% subsequently achieved control targets (SBP <130 mm Hg and DBP <80 mm Hg) within 6 months. Follow-up rate at 1 month and control rate at 6 months for patients with SBP ≥180 mm Hg or DBP ≥120 mm Hg was 31.9% and 17.2%. Conclusions Digital population health surveillance with an electronic health record identified a large number of patients with markedly elevated blood pressure and inadequate follow-up. Many of these patients subsequently failed to achieve control targets.

Indexed as

Data MiningElectronic Health RecordsPopulation HealthAdolescentAdultAgedAged, 80 and overAntihypertensive AgentsBlood PressureConnecticutFemaleHumansHypertensionMaleMiddle AgedOffice VisitsAntihypertensive Agentselectronic health recordshigh blood pressurehypertensionquality of carerisk factorsurveillance

Identifiers

PMID32200730
PMCPMC7428633

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.