The feasibility and effectiveness of emergency department based hypertension screening: A systematic review
Bibliographic record
Abstract
PURPOSE: Hypertension is a highly prevalent risk factor for cardiovascular disease, and its early identification and management results in reductions in morbidity and mortality. Our objectives were to: (1) determine the extent to which the emergency department (ED) has been used to screen patients for undiagnosed hypertension; (2) estimate the incidence of undiagnosed hypertension in the ED population; (3) identify and describe the programs for ED hypertension screening; and (4) determine the feasibility of ED-based hypertension screening programs and the requirements for further study. DATA SOURCES: An online search of databases (i.e., OVID Search, CINAHL, Scopus, Web of Science), unpublished sources (i.e., ProQuest Dissertation & Theses and Papers First), and grey literature (i.e., OpenSIGLE and the New York Academy of Grey Literature) was conducted. A manual search of the reference lists of relevant studies was also completed. CONCLUSION: Hypertension screening in the ED is feasible. Individuals with elevated blood pressure (BP) in the ED should be referred for follow-up. Further study is needed to develop an ED screening tool that is predictive of persistently elevated BP in undiagnosed individuals. IMPLICATIONS FOR PRACTICE: Nurse practitioners in the ED should identify patients with elevated BP, provide hypertension education, and ensure appropriate intervention and referral.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".