Effectiveness of a protocol-based strategy for achieving better blood pressure control in general practice
Bibliographic record
Abstract
BACKGROUND: There continues be a problem with the proportion of treated hypertension patients who are actually at recommended blood pressure targets. OBJECTIVE: Is an intensive protocol-based strategy for achieving blood pressure control effective in family practice and will family physicians and their hypertensive patients adhere to such a protocol. METHODS: Design of the study is a cluster randomized controlled trial at the Centre for Studies in Primary Care, Queen's University, Kingston, Ontario. Participants were 19 family physicians and 156 (98 intervention group and 58 control group) of their patients in and around the Kingston area. Patients were eligible if they had a diagnosis of hypertension and had not yet achieved their target blood pressure. Patients in the intervention group were managed according to a protocol that involved seeing their family doctor every 2 weeks over a 16-week period and having their antihypertensive medication regimen adjusted at each visit if target was not achieved. This was compared to usual care. Main outcomes were primary effectiveness outcome measured at 12 months was the differences in blood pressure between baseline and 12 months in the two groups. Secondary effectiveness outcomes included rates of achieving BP target and compliance with protocol by physicians and patients. Adherence outcomes were assessed by determining the number of visits made during the 16-week intervention period and the increase in the number of drugs being used. RESULTS: Of the patients enrolled, 72 (74%) from the intervention group and 41 (71%) in the control group were available for analysis. Improvement between baseline and 12-month follow-up was significantly better for the intervention group than the control for diastolic mean daytime BP on 24 hours ambulatory blood pressure monitoring (4.5 mmHg reduction versus 0.5 mmHg reduction) and for both systolic (14.7 mmHg reduction versus 2.7 mmHg reduction) and diastolic (7.4 mmHg reduction versus 0.6 mmHg increase) blood pressure on BpTRU. Of the 98 patients in the intervention, 80% attended four or more of the eight visits and 25% attended all eight visits; physicians increased the number or dosage of drugs the patient was taking in 52% of the visits. Conclusions. An intensive, protocol-based, management approach to achieving blood pressure control in hypertensive patients in family practice is effective and works even when there is flexibility built into the algorithm to allow family physicians to use their judgement in individual patients.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".