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Record W2804589314 · doi:10.1503/cmaj.170740

Evaluation of a community paramedicine health promotion and lifestyle risk assessment program for older adults who live in social housing: a cluster randomized trial

2018· article· en· W2804589314 on OpenAlexafffundvenueabout
Gina Agarwal, Ricardo Angeles, Melissa Pirrie, Brent McLeod, Francine Marzanek, Jenna Parascandalo, Lehana Thabane

Bibliographic record

VenueCanadian Medical Association Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare HamiltonImpact
FundersCanadian Institutes of Health Research
KeywordsMedicineRandomized controlled trialCluster randomised controlled trialIntervention (counseling)GerontologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Low-income older adults who live in subsidized housing have higher mortality and morbidity. We aimed to determine if a community paramedicine program — in which paramedics provide health care services outside of the traditional emergency response — reduced the number of ambulance calls to subsidized housing for older adults. METHODS: We conducted an open-label pragmatic cluster-randomized controlled trial (RCT) with parallel intervention and control groups in subsidized apartment buildings for older adults. We selected 6 buildings using predefined criteria, which we then randomly assigned to intervention (Community Paramedicine at Clinic [CP@clinic] for 1 yr) or control (usual health care) using computer-generated paired randomization. CP@clinic is a paramedic-led, community-based health promotion program to prevent diabetes, cardiovascular disease and falls for residents 55 years of age and older. The primary outcome was building-level mean monthly ambulance calls. Secondary outcomes were individual-level changes in blood pressure, health behaviours and risk of diabetes assessed using the Canadian Diabetes Risk Questionnaire. We analyzed the data using generalized estimating equations and hierarchical linear modelling. RESULTS: The 3 intervention and 3 control buildings had 455 and 637 residents, respectively. Mean monthly ambulance calls in the intervention buildings (3.11 [standard deviation (SD) 1.30] calls per 100 units/mo) was significantly lower (−0.88, 95% confidence interval [CI] −0.45 to −1.30) than in control buildings (3.99 [SD 1.17] calls per 100 units/mo), when adjusted for baseline calls and building pairs. Survey participation was 28.4% (n = 129) and 20.3% (n = 129) in the intervention and control buildings, respectively. Residents living in the intervention buildings showed significant improvement compared with those living in control buildings in quality-adjusted life years (QALYs) (mean difference 0.09, 95% CI 0.01 to 0.17) and ability to perform usual activities (odds ratio 2.6, 95% CI 1.2 to 5.8). Those who received the intervention had a significant decrease in systolic (mean change 5.0, 95% CI 1.0 to 9.0) and diastolic (mean change 4.8, 95% CI 1.9 to 7.6) blood pressure. INTERPRETATION: A paramedic-led, community-based health promotion program (CP@clinic) significantly lowered the number of ambulance calls, improved QALYs and ability to perform usual activities, and lowered systolic blood pressure among older adults living in subsidized housing. Trial registration: Clinicaltrials.gov, no. NCT02152891

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.043
GPT teacher head0.421
Teacher spread0.379 · 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 designRandomized trial
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".

Quick stats

Citations90
Published2018
Admission routes4
Has abstractyes

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