Evaluation of an electronic clinical decision support tool for incident elevated BP in adolescents
Open accessAbstract
Objective To evaluate, among adolescents 10 to 17 years of age with an incident hypertensive blood pressure (BP; ≥95th percentile) at a primary care visit, whether TeenBP, a novel electronic health record-linked clinical decision support tool (CDS), improved recognition of elevated BP, and return for follow-up BP evaluation.Methods We conducted a pragmatic cluster randomized trial in 20 primary care clinics in a large Midwestern medical group. Ten clinics received the TeenBP CDS, including an alert to remeasure a hypertensive BP at that visit, an alert that a hypertensive BP should be repeated in 1 to 3 weeks, and patient-specific order sets. In the 10 usual care (UC) clinics, elevated BPs were displayed in red font in the electronic health record. For comparisons between CDS and UC we used generalized linear mixed models.Results The study population included 607 CDS patients and 607 UC patients with an incident hypertensive BP. In adjusted analyses, at the index visit, CDS patients were more likely to have their hypertensive BP on the basis of ≥2 BP measurements (47.1% vs 27.6%; P = .007) and to have elevated BP (International Classification of Diseases, Ninth Revision code 796.2) diagnosed (28.2% vs 4.2%; P < .001). In a multivariate model adjusted for age, sex, systolic BP percentile, and visit type, rates for repeat BP measurement within 30 days were 14.3% at TeenBP CDS clinics versus 10.6% at UC clinics (P = .07).Conclusions The TeenBP CDS intervention significantly increased repeat BP measurement at the index visit and recognition of a hypertensive BP. Rates for follow-up BP measurement at 30 days were low and did not differ between TeenBP and UC subjects.
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ECDS tools may be used to recognize clinical conditions or condition states, but this does not always translate to desired clinical effect.
“ECDS tools may be used to recognize clinical conditions or condition states, however this does not always translate to desired clinical effect.36”
From Impact of Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload (2019) · cites this paper as [36]
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- Authors
- Kharbanda, E. O., Asche, S. E., Sinaiko, A., Nordin, J. D., Ekstrom, H. L., Fontaine, P., Dehmer, S. P., Sherwood, N. E., & O'Connor, P. J.
- Affiliations
- HealthPartners (US)
- University of Minnesota (US)
- Corresponding author
- Kharbanda, Elyse Olshen
- ORCID
- Venue
- Academic Pediatrics
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 18
- Issue
- 1
- Pages
- 43-50
- ISSN
- 1876-2859 (ISSN-L)
- PMC
- PMC5756693
- OpenAlex
- W2735138580
- Cited by
- 24
- References
- 22
- Citations by year
- 2026: 2 · 2024: 3 · 2023: 5 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 4 · 2018: 2
- FWCI
- 3.00
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Academic Pediatrics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Health (R01 HL115082)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Keywords
- clinical decision support, adolescent hypertension, elevated blood pressure, electronic health records, primary care, follow-up care, hypertension diagnosis, order sets
- MeSH terms
- Adolescent, Aftercare, Blood Pressure, Blood Pressure Determination, Child, Female, Humans, Hypertension, Male, Primary Health Care, Multivariate Analysis, Linear Models, Decision Support Systems, Clinical, Electronic Health Records
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