Evidence map›Paper›PMID 34612048›Full record

ArticleJournal of the American Heart Association2021

Tracking Blood Pressure Control Performance and Process Metrics in 25 US Health Systems: The PCORnet Blood Pressure Control Laboratory.

Rhonda M Cooper-DeHoff, Valy Fontil, Thomas Carton, Alanna M Chamberlain, Jonathan Todd, Emily C O'Brien, Kathryn M Shaw, Myra Smith, Sujung Choi, Ester K Nilles and 13 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2021. 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.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. US public health surveillance, reimagined.Learning health systems · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Medication Adherence-Still the Holy Grail.Journal of the American Heart Association · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. 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

23 authors.

Rhonda M Cooper-DeHoffUniversity of Florida Gainesville FL.ORCID 0000-0002-5198-130X
Valy FontilUniversity of California San Francisco San Francisco CA.
Thomas CartonLouisiana Public Health InstituteTulane University New Orleans LA.
Alanna M ChamberlainMayo Clinic Rochester MN.ORCID 0000-0003-1888-9584
Jonathan ToddOCHIN Portland OR.
Emily C O'BrienDuke University Durham NC.
Kathryn M ShawUniversity of Florida Gainesville FL.
Myra SmithUniversity of Florida Gainesville FL.
Sujung ChoiDuke University Durham NC.
Ester K NillesDuke University Durham NC.
Daniel FordJohns Hopkins Baltimore MD.
Kristen M TecsonBaylor Scott & White Research Institute Dallas TX.ORCID 0000-0002-6732-8698
Princess E DennarTulane University New Orleans LA.
Faraz AhmadNorthwestern University Chicago IL.ORCID 0000-0002-2613-2541
Shenghui WuUT Health San Antonio TX.
James C McClayUniversity of Nebraska Omaha NE.ORCID 0000-0002-3404-0671
Kristen AzarSutter Health San Francisco CA.ORCID 0000-0003-2801-3156
Rajbir SinghMeharry Medical College Nashville TN.
Madelaine Faulkner ModrowUniversity of California San Francisco San Francisco CA.
Christina M ShayGenesis Research Dallas TX.
Michael RakotzAmerican Medical Association Chicago IL.ORCID 0000-0003-4386-4864
Gregory WozniakAmerican Medical Association Chicago IL.
Mark J PletcherUniversity of California San Francisco San Francisco CA.ORCID 0000-0002-6966-1312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The National Patient-Centered Clinical Research Network Blood Pressure Control Laboratory Surveillance System was established to identify opportunities for blood pressure (BP) control improvement and to provide a mechanism for tracking improvement longitudinally. Methods and Results We conducted a serial cross-sectional study with queries against standardized electronic health record data in the National Patient-Centered Clinical Research Network (PCORnet) common data model returned by 25 participating US health systems. Queries produced BP control metrics for adults with well-documented hypertension and a recent encounter at the health system for a series of 1-year measurement periods for each quarter of available data from January 2017 to March 2020. Aggregate weighted results are presented overall and by race and ethnicity. The most recent measurement period includes data from 1 737 995 patients, and 11 956 509 patient-years were included in the trend analysis. Overall, 15% were Black, 52% women, and 28% had diabetes. BP control (<140/90 mm Hg) was observed in 62% (range, 44%-74%) but varied by race and ethnicity, with the lowest BP control among Black patients at 57% (odds ratio, 0.79; 95% CI, 0.66-0.94). A new class of antihypertensive medication (medication intensification) was prescribed in just 12% (range, 0.6%-25%) of patient visits where BP was uncontrolled. However, when medication intensification occurred, there was a large decrease in systolic BP (≈15 mm Hg; range, 5-18 mm Hg). Conclusions Major opportunities exist for improving BP control and reducing disparities, especially through consistent medication intensification when BP is uncontrolled. These data demonstrate substantial room for improvement and opportunities to close health equity gaps.

Indexed as

BenchmarkingHypertensionAdultAntihypertensive AgentsBlood PressureCross-Sectional StudiesFemaleHumansLaboratoriesMaleAntihypertensive Agentshealth equityhigh blood pressurehypertensionquality and outcomesrace and ethnicity

Identifiers

PMID34612048
PMCPMC8751828

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.