Evidence map›Paper›PMID 39411867›Full record

ArticleHypertension (Dallas, Tex. : 1979)2024

Pediatric High Blood Pressure Recognition Associated With Electronic Decision Support: A Cohort Analysis.

Justin P Zachariah, Tavleen Singh, Shannon Collinson, Justin Rahman, Alisa A Acosta, Jessica F Campbell, Mary Hoang, Katharine E Sigler, Elizabeth A Onugha, Shweta S Shah and 3 more

Abstract read
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Justin P ZachariahDivision of Pediatric Cardiology (J.P.Z., M.H., S.K.S.-T.), Texas Children's Hospital, Baylor College of Medicine, Houston.
Tavleen SinghResearch Data Network, Texas Children's Hospital (T.S., S.C.), Texas Children's Hospital, Baylor College of Medicine, Houston.ORCID 0000-0002-1721-4780
Shannon CollinsonResearch Data Network, Texas Children's Hospital (T.S., S.C.), Texas Children's Hospital, Baylor College of Medicine, Houston.
Justin RahmanUniversity of Texas Health Science Center Houston (J.R.).
Alisa A AcostaRenal Service (A.A.A., J.F.C., K.E.S., E.A.O., S.S.S.), Texas Children's Hospital, Baylor College of Medicine, Houston.ORCID 0000-0002-9680-8201
Jessica F CampbellRenal Service (A.A.A., J.F.C., K.E.S., E.A.O., S.S.S.), Texas Children's Hospital, Baylor College of Medicine, Houston.ORCID 0000-0002-0936-691X
Mary HoangDivision of Pediatric Cardiology (J.P.Z., M.H., S.K.S.-T.), Texas Children's Hospital, Baylor College of Medicine, Houston.
Katharine E SiglerRenal Service (A.A.A., J.F.C., K.E.S., E.A.O., S.S.S.), Texas Children's Hospital, Baylor College of Medicine, Houston.ORCID 0000-0001-6509-7091
Elizabeth A OnughaRenal Service (A.A.A., J.F.C., K.E.S., E.A.O., S.S.S.), Texas Children's Hospital, Baylor College of Medicine, Houston.ORCID 0000-0001-5763-9954
Shweta S ShahRenal Service (A.A.A., J.F.C., K.E.S., E.A.O., S.S.S.), Texas Children's Hospital, Baylor College of Medicine, Houston.ORCID 0000-0001-6746-3286
S Kristen Sexson-TejtelDivision of Pediatric Cardiology (J.P.Z., M.H., S.K.S.-T.), Texas Children's Hospital, Baylor College of Medicine, Houston.
Mark FarriorTexas Children's Pediatrics (M.F., S.W.), Texas Children's Hospital, Baylor College of Medicine, Houston.
Scott WatsonTexas Children's Pediatrics (M.F., S.W.), Texas Children's Hospital, Baylor College of Medicine, Houston.

Funding

Kids: Nocturnal Investigation into Glomerular Disease, Hypertension, and Transcriptomics (kNIGHT)R01HL162912 · NHLBI · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI Christine B Sethna · 2023 to 2026
$2.9M
Causal mechanisms in adolescent arterial stiffnessR01HL148217 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI ZACHARIAH, JUSTIN P.V. · 2019 to 2023
$2.0M
NHLBI NIH HHS R01 HL148217NHLBI NIH HHS R01 HL162912
6 · The paper itself

Abstract

backgroundPediatric high blood pressure (BP) predicts future cardiovascular disease events. High BP is improperly measured, underrecognized, and undermanaged especially in disadvantaged populations. In a large, diverse, academic pediatric practice, we detail the associations of a comprehensive initiative with high BP provider recognition.

methodsA comprehensive BP initiative was promulgated including (1) retraining providers and staff on BP management; (2) deploying equipment at 55+ sites; and (3) electronic decision support tool alerting staff and clinicians and suggesting management. During the 14-month preintervention and 14-month postintervention periods, data on BP and patient characteristics were collected. The outcome was incident BP recognition defined as any of the following: BP-specific

resultsFrom preintervention (children, n=105 674; adolescents, n=54 365) to postintervention (children, n=87 917; adolescents, n=56 470), the proportion measured with high BP declined in children and adolescents (30% versus 14% and 30% versus 15%, respectively, each

conclusionsA comprehensive BP initiative was associated with more appropriate high BP measurement and recognition including in disadvantaged populations. Future work may address the low overall and nonsustained recognition and consideration of electronic decision support for pediatric BP management and mitigating disparities.

Indexed as

HypertensionAdolescentAntihypertensive AgentsBlood PressureBlood Pressure DeterminationChildChild, PreschoolCohort StudiesDecision Support Systems, ClinicalFemaleHumansMaleAntihypertensive Agentsadolescentantihypertensive agentsblood pressureelectronic health recordsimplementation sciencepediatrics

Identifiers

PMID39411867
PMCPMC11578764

What OpenQuestion holds

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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.