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PS-C08-4: TEC4HOMEBP: DEVELOPING A HOME BLOOD PRESSURE TELE-MONITORING PATHWAY TO SUPPORT PATIENTS DISCHARGED FROM THE EMERGENCY DEPARTMENT WITH ELEVATED BLOOD PRESSURE

2023· article· en· W4315706972 on OpenAlexaffabout
Karen C. Tran, Laura M. Kuyper, Jesse Bittman, Birinder Mangat, Chad Kim Sing, Heather Lindsay, Martin Dawes, Hubert Wong, Nadia Khan, Meagan Mak, Jennifer Corderio, Kendall ho

Bibliographic record

VenueJournal of Hypertension · 2023
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineBlood pressureEmergency departmentAsymptomaticEveningMorningObservational studyAmbulatory blood pressureEmergency medicineTelehealthInternal medicinePhysical therapyTelemedicineHealth careNursing

Abstract

fetched live from OpenAlex

Objectives: Elevated blood pressure (BP) in the emergency department (ED) is common, but clinical uncertainty exists on how best to manage asymptomatic hypertension. Telehealth for Emergency-Community Continuity of Care Connectivity via Home Blood Pressure Telemonitoring (TEC4Home BP) evaluates how home blood pressure telemonitoring (HBPTM) can support patients with elevated BP manage their health at home after visiting the ED. The aim of this study is to assess the effect of HBPTM on BP control among those discharged home from the ED with severely elevated BP. We also examined adherence to HBPTM, medical therapy and patient satisfaction. Methods: We conducted a prospective, single-centre, observational study and recruited 50 participants from Vancouver General Hospital (VGH), ED with hypertensive urgency, asymptomatic severely uncontrolled BP (> 160/100 mm Hg averaged over 3 readings) or referred to the VGH Hypertension Clinic from the ED for high BP. All participants received a validated home BP monitor (A&D UA-651BLE) and App (Sphygmo App, Calgary, AB) to automatically teletransmit 2 readings in the morning and evening daily for 3 months. Proportion of patients diagnosed with hypertension with controlled home BP defined as less than 135/85 mmHg, adherence to HBPTM, and medication therapy using the Hill Bone medication adherence scale, at 1and 3 months following discharge from the ED. Results: From May to December 2021, 50 participants (60 years old, 61% females, average baseline BP (SD) in ED 191 +/−26/ 99 +/−15 mm Hg) were recruited. Our recruitment and enrollment rate were 41% and 88%, respectively. At 1 and 3 months, average home BP (SD) was 136 +/−15/80 +/−11 and 128 +/−10 /77 +/−10 mm Hg. At 3 months, there was a 66% improvement in proportion of those who achieved target BP control. Adherence to HBPTM at 1 and 3 months was 84 and 54%, respectively. There were no differences in medication adherence at baseline and 3 months of study. Participants were highly satisfied with the HBPTM program and 79% would highly recommend the program. More detailed data analysis is currently underway and will be presented. Conclusions: HBPTM is a feasible, effective, and acceptable strategy to triage and monitor patients with significantly elevated BP when discharged from the ED. Future studies are need to advise the integration of HBPTM pathway a key clinical strategy to improve patient flow in the ED, reduce length of stay in the ED, and improve BP control in patients with hypertension.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.004

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.

Opus teacher head0.038
GPT teacher head0.260
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes2
Has abstractyes

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