Prevalence of Hypertension among Patients Attending Mobile Medical Clinics in the Philippines after Typhoon Haiyan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: On November 8, 2013, Super Typhoon Haiyan struck the Philippines, causing a humanitarian emergency. According to the World Health Organization, non-communicable diseases (NCDs), also known as chronic diseases, are the leading cause of death and disability around the world. NCDs kill 38 million people each year. Sixteen million NCD deaths occur before the age of 70; 82% of which occurred in low- and middle-income countries. NCDs are further exacerbated during a crisis, and addressing them should be a concern of any medical disaster response. METHODS: We conducted a retrospective observational study to determine the prevalence of hypertension among patients seeking medical care at mobile medical clinics after Typhoon Haiyan in the Philippines. RESULTS: A total of 3,730 adults were evaluated at the mobile medical clinics. Analysis of the medical records revealed that the overall prevalence of hypertension among adult patients was 47%. Approximately 24% of adult females and 27% of adult males were classified with stage 2 Hypertension. CONCLUSIONS: Evidence-based guidelines on the management of hypertension and other NCDs (diabetes mellitus, cardiovascular disease, chronic lung disease and mental health) during humanitarian emergencies are limited. Clinical care of victims of humanitarian emergencies suffering with NCDs should be a critical part of disaster relief and recovery efforts. We therefore recommend the development of best practices and evidence based management guidelines of hypertension and other NCDs in post-disaster settings.
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.
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 | 0.001 |
| 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) | 0.001 | 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 it