Evidence map›Paper›PMID 36805692›Full record

ArticleTrials2023

Community paramedic hospital reduction and mitigation program: study protocol for a randomized pragmatic clinical trial.

Jennifer L Ridgeway, Erin O Wissler Gerdes, Andrew Dodge, Chad P Liedl, Michael B Juntunen, Wendy J S Sundt, Amy Glasgow, Michelle A Lampman, Angela L Fink, Sara B Severson and 10 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05232799 (Community Paramedic Hospitalization Reduction and Mitigation Program), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT05232799 nacompletednot on this map

Community Paramedic Hospitalization Reduction and Mitigation Program: Pragmatic Clinical Trial

TypeinterventionalSponsorMayo ClinicRan2022 to 2023Enrolled250ConditionsAcute IllnessArmsCare Anywhere with Community Paramedics program
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. The role of community paramedicine in fall prevention: A SWOT analysis.Journal of the American Geriatrics Society · 2024
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Jennifer L RidgewayDivision of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Erin O Wissler GerdesRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Andrew DodgeRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Chad P LiedlMayo Clinic Ambulance, Rochester, MN, USA.
Michael B JuntunenMayo Clinic Ambulance, Rochester, MN, USA.
Wendy J S SundtResearch Services - Clinical Trials Office, Mayo Clinic, Rochester, MN, USA.
Amy GlasgowRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Michelle A LampmanRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Angela L FinkDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Sara B SeversonDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Grace LinDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Richard R SampsonDepartment of Family Medicine, Mayo Clinic Health System - Northland, Barron, WI, USA.
Robert P PetersonDivision of Hospital Internal Medicine, Mayo Clinic Health System - Northland, Barron, WI, USA.
Brian M MurleyMayo Clinic Ambulance, Rochester, MN, USA.
Aaron B KlassenDepartment of Emergency Medicine, Mayo Clinic Ambulance, Rochester, MN, USA.
Anuradha LukeDepartment of Emergency Medicine, Mayo Clinic Ambulance, Rochester, MN, USA.
Paul A FriedmanDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Tamara E BuechlerDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.
James S NewmanDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Rozalina G McCoyDivision of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA. McCoy.Rozalina@mayo.edu.ORCID http://orcid.org/0000-0002-2289-3183

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
NCATS NIH HHS Grant Number UL1 TR002377NCATS NIH HHS UL1 TR002377
6 · The paper itself

Abstract

backgroundNew patient-centered models of care are needed to individualize care and reduce high-cost care, including emergency department (ED) visits and hospitalizations for low- and intermediate-acuity conditions that could be managed outside the hospital setting. Community paramedics (CPs) have advanced training in low- and high-acuity care and are equipped to manage a wide range of health conditions, deliver patient education, and address social determinants of health in the home setting. The objective of this trial is to evaluate the effectiveness and implementation of the Care Anywhere with Community Paramedics (CACP) program with respect to shortening and preventing acute care utilization.

methodsThis is a pragmatic, hybrid type 1, two-group, parallel-arm, 1:1 randomized clinical trial of CACP versus usual care that includes formative evaluation methods and assessment of implementation outcomes. It is being conducted in two sites in the US Midwest, which include small metropolitan areas and rural areas. Eligible patients are ≥ 18 years old; referred from an outpatient, ED, or hospital setting; clinically appropriate for ambulatory care with CP support; and residing within CP service areas of the referral sites. Aim 1 uses formative data collection with key clinical stakeholders and rapid qualitative analysis to identify potential facilitators/barriers to implementation and refine workflows in the 3-month period before trial enrollment commences (i.e., pre-implementation). Aim 2 uses mixed methods to evaluate CACP effectiveness, compared to usual care, by the number of days spent alive outside of the ED or hospital during the first 30 days following randomization (primary outcome), as well as self-reported quality of life and treatment burden, emergency medical services use, ED visits, hospitalizations, skilled nursing facility utilization, and adverse events (secondary outcomes). Implementation outcomes will be measured using the RE-AIM framework and include an assessment of perceived sustainability and metrics on equity in implementation. Aim 3 uses qualitative methods to understand patient, CP, and health care team perceptions of the intervention and recommendations for further refinement. In an effort to conduct a rigorous evaluation but also speed translation to practice, the planned duration of the trial is 15 months from the study launch to the end of enrollment. DISCUSSION: This study will provide robust and timely evidence for the effectiveness of the CACP program, which may pave the way for large-scale implementation. Implementation outcomes will inform any needed refinements and best practices for scale-up and sustainability.

trial registrationClinicalTrials.gov NCT05232799. Registered on 10 February 2022.

Indexed as

Emergency Medical TechniciansParamedicsAdolescentHospitalsHumansPatient-Centered CarePragmatic Clinical Trials as TopicQuality of LifeRandomized Controlled Trials as TopicYoung AdultCommunity health servicesCommunity paramedicineEmergency medical servicesHealth care deliveryHome healthImplementation scienceMobile integrated healthPatient-centered carePragmatic clinical trialReadmissionRural

Identifiers

PMID36805692
PMCPMC9940335

What OpenQuestion holds

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LicenceCC BY
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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.