How Hypertension Guidelines Address Social Determinants of Health
Bibliographic record
Abstract
BACKGROUND: Patient-level and community-level social and economic conditions impact hypertension risk and control. We examined adult hypertension management guidelines to explore whether and how existing guidelines refer to social care activities. OBJECTIVE: The objective of this study was to explore how hypertension guidelines reference social care activities. RESEARCH DESIGN: A systematic scoping review of clinical guidelines for adult hypertension management. We employed a PubMed search strategy to identify all hypertension guidelines published in the United States between 1977 and 2019. We reviewed all titles to identify the most updated versions focused on nonpregnant adults with hypertension. We extracted instances where guidelines referred to social determinants of health (SDH) or social care activities. The primary outcome was how guidelines covered social care activities, defined using a framework adapted from the National Academies of Sciences, Engineering, and Medicine (NASEM). RESULTS: Search terms yielded 126 guidelines. Thirty-six guidelines met the inclusion criteria. Of those, 72% (26/36) recommended social care activities as part of hypertension management; 58% recommended clinicians change clinical practice based on social risk information. These recommendations often lacked specific guidance around how to directly address social risk factors or reduce the impact of these risks on hypertension management. When guidelines referred to specific social factors, patient financial security was the most common. Over time, hypertension guidelines have included more references to SDH. CONCLUSION: Information about SDH is included in many hypertension guidelines, but few guidelines provide clear guidance for clinicians or health systems on how to identify and address social risk factors in the context of care delivery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".