ArticleCJEM2021
Paramedics assessing patients with complex comorbidities in community settings: results from the CARPE study.
Article in CJEM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Paramedics: A Missing Workforce in Australia's Mental Health System.The Australian journal of rural health · 2026Article
- Developing the Community Paramedicine Needs Assessment Tool.Nursing reports (Pavia, Italy) · 2025Article
- Identifying Features of a System of Practice to Inform a Contemporary Competency Framework for Paramedics in Canada.Healthcare (Basel, Switzerland) · 2024Article
- Observational
- Defining a threshold above which an adult can be considered to frequently use ambulance services: a retrospective cross-sectional study of emergency calls to an ambulance service in England.British paramedic journal · 2023Article
- The development of community paramedicine; a restricted review.Health & social care in the community · 2022Review
- Palliative care models for patients living with advanced cancer: a narrative review for the emergency department clinician.Emergency cancer care · 2022Review
- Relevance of assessment items in community paramedicine home visit programmes: results of a modified Delphi study.BMJ open · 2021Article
- Article
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
Abstract
objectivesThe aim for this study was to provide information about how community paramedicine home visit programs best "navigate" their role delivering preventative care to frequent 9-1-1 users by describing demographic and clinical characteristics of their patients and comparing them to existing community care populations.
methodsOur study used secondary data from standardized assessment instruments used in the delivery of home care, community support services, and community paramedicine home visit programs in Ontario. Identical assessment items from each instrument enabled comparisons of demographic, clinical, and social characteristics of community-dwelling older adults using descriptive statistics and z-tests.
resultsData were analyzed for 29,938 home care clients, 13,782 community support services clients, and 136 community paramedicine patients. Differences were observed in proportions of individuals living alone between community paramedicine patients versus home care clients and community support clients (47.8%, 33.8%, and 59.9% respectively). We found higher proportions of community paramedicine patients with multiple chronic disease (87%, compared to 63% and 42%) and mental health-related conditions (43.4%, compared to 26.2% and 18.8% for depression, as an example).
conclusionWhen using existing community care populations as a reference group, it appears that patients seen in community paramedicine home visit programs are a distinct sub-group of the community-dwelling older adult population with more complex comorbidities, possibly exacerbated by mental illness and social isolation from living alone. Community paramedicine programs may serve as a sentinel support opportunity for patients whose health conditions are not being addressed through timely access to other existing care providers. PROTOCOL REGISTRATION: ISRCTN 58273216.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.