ArticleEGEMS (Washington, DC)2015
TeenBP: Development and Piloting of an EHR-Linked Clinical Decision Support System to Improve Recognition of Hypertension in Adolescents.
Article in EGEMS (Washington, DC), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03890588 (A Technology-Driven Intervention to Improve Identification and Management of Chronic Kidney Disease in Primary Care), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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.
A Technology-Driven Intervention to Improve Identification and Management of Chronic Kidney Disease in Primary Care
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The implementation challenge of computerised clinical decision support systems for the detection of disease in primary care: systematic review and recommendations.Implementation science : IS · 2025Pooled it
- Clinical Decision Support for Recognizing and Managing Hypertensive Blood Pressure in Youth: No Significant Impact on Medical Costs.Academic pediatrics · 2020Trial
- Clinical decision support directed to primary care patients and providers reduces cardiovascular risk: a randomized trial.Journal of the American Medical Informatics Association : JAMIA · 2018Trial
- Clinical Decision Support for Recognition and Management of Hypertension: A Randomized Trial.Pediatrics · 2018Trial
- Evaluation of an Electronic Clinical Decision Support Tool for Incident Elevated BP in Adolescents.Academic pediatricsTrial
- A Systematic Review of Factors Affecting Utilization of Decision Support Systems: The Interplay Between Technology, Users, and the Healthcare Environment.Health science reports · 2026Review
- Clinician Perceptions of Barriers and Strategies to Improve Pediatric Hypertension Detection.JAMA network open · 2026Article
- Adapting a clinical decision support system to improve identification of pediatric hypertension in a rural health system: Design of a pragmatic trial.Contemporary clinical trials · 2023Article
- Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review.Informatics (MDPI) · 2020Article
- Clinical Decision Support for the Diagnosis and Management of Adult and Pediatric Hypertension.Current hypertension reports · 2020Review
- Improving Hypertension Recognition in Adolescents, a Small but Important First Step in Cardiovascular Disease Prevention.Academic pediatrics · 2020Article
- Impact of updated pediatric hypertension guidelines on progression from elevated blood pressure to hypertension in a community-based primary care population.Journal of clinical hypertension (Greenwich, Conn.) · 2019Article
- The Use of Electronic Health Records to Identify Children with Elevated Blood Pressure and Hypertension.Current hypertension reports · 2017Review
- Predicting Hypertension Among Children With Incident Elevated Blood Pressure.Academic pediatrics · 2017Article
- CDS, UX, and System Redesign - Promising Techniques and Tools to Bridge the Evidence Gap.EGEMS (Washington, DC) · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
contextBlood pressure (BP) is routinely measured in children and adolescents during primary care visits. However, elevated BP or hypertension is frequently not diagnosed or evaluated further by primary care providers. Barriers to recognition include lack of clinician buy-in, competing priorities, and complexity of the standard BP tables. CASE DESCRIPTION: We have developed and piloted TeenBP- a web-based, electronic health record (EHR) linked system designed to improve recognition of prehypertension and hypertension in adolescents during primary care visits. MAJOR THEMES: Important steps in developing TeenBP included the following: review of national BP guidelines, consideration of clinic workflow, engagement of clinical leaders, and evaluation of the impact on clinical sites. Use of a web-based platform has facilitated updates to the TeenBP algorithm and to the message content. In addition, the web-based platform has allowed for development of a sophisticated display of patient-specific information at the point of care. In the TeenBP pilot, conducted at a single pediatric and family practice site with six clinicians, over a five-month period, more than half of BPs in the hypertensive range were clinically recognized. Furthermore, in this small pilot the TeenBP clinical decision support (CDS) was accepted by providers and clinical staff. Effectiveness of the TeenBP CDS will be determined in a two-year cluster-randomized clinical trial, currently underway at 20 primary care sites.
conclusionUse of technology to extract and display clinically relevant data stored within the EHR may be a useful tool for improving recognition of adolescent hypertension during busy primary care visits. In the future, the methods developed specifically for TeenBP are likely to be translatable to a wide range of acute and chronic issues affecting children and adolescents.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.