ArticleJournal of the American Medical Informatics Association : JAMIA2013
Meaningful measurement: developing a measurement system to improve blood pressure control in patients with chronic kidney disease.
Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Natural Language Processing in Nephrology.Advances in chronic kidney disease · 2022Review
- Big Data Research in Chronic Kidney Disease.Chinese medical journal · 2018Article
- Electronic Health Record Patient Portals in CKD and Hypertension Management: Meaningfully Used?Clinical journal of the American Society of Nephrology : CJASN · 2015Article
- Making audit actionable: an example algorithm for blood pressure management in chronic kidney disease.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- Assisted annotation of medical free text using RapTAT.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectivesTo develop an electronic registry of patients with chronic kidney disease (CKD) treated in a nephrology practice in order to provide clinically meaningful measurement and population management to improve rates of blood pressure (BP) control.
methodsWe combined data from multiple electronic sources: the billing system, structured fields in the electronic health record (EHR), and free text physician notes using natural language processing (NLP). We also used point-of-care worksheets to capture clinical rationale.
resultsNephrologist billing accurately identified patients with CKD. Using an algorithm that incorporated multiple BP readings increased the measured rate of control (130/80 mm Hg) from 37.1% to 42.3%. With the addition of NLP to capture BP readings from free text notes, the rate was 52.6%. Data from point-of-care worksheets indicated that in 52% of visits in which patients were identified as not having controlled BP, patients were actually at goal based on BP readings taken at home or on that day in the office.
conclusionsBuilding a method for clinically meaningful continuous performance measurement of BP control is possible, but will require data from multiple sources. Electronic measurement systems need to grow to be able to capture and process performance data from patients as well as in real-time from physicians.
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Registered trials
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