Limited data to support improved outcomes after community paramedicine intervention: A systematic review

Peter Pang, Megan Litzau, Mark Liao, Jennifer Herron, Elizabeth Weinstein, Christopher Weaver, Dan Daniel, Charles Miramonti

Research output: Contribution to journalReview article

Abstract

Background: Community paramedicine (CP) leverages trained emergency medical services personnel outside of emergency response as an innovative model of health care delivery. Often used to bridge local gaps in healthcare delivery, the CP model has existed for decades. Recently, the number of programs has increased. However, the level of robust data to support this model is less well known. Objective: To describe the evidence supporting community paramedicine practice. Data sources: OVID, PubMed, SCOPUS, EMBASE, Google Scholar-WorldCat, OpenGrey. Study appraisal and synthesis methods: Three people independently reviewed each abstract and subsequently eligible manuscript using prespecified criteria. A narrative synthesis of the findings from the included studies, structured around the type of intervention, target population characteristics, type of outcome and intervention content is presented. Results: A total of 1098 titles/abstracts were identified. Of these 21 manuscripts met our eligibility criteria for full manuscript review. After full manuscript review, only 6 ultimately met all eligibility criteria. Given the heterogeneity of study design and outcomes, we report a description of each study. Overall, this review suggests CP is effective at reducing acute care utilization. Limitations: The small number of available manuscripts, combined with the lack of robust study designs (only one randomized controlled trial) limits our findings. Conclusions: Initial studies suggest benefits of the CP model; however, notable evidence gaps remain.

Original languageEnglish (US)
JournalAmerican Journal of Emergency Medicine
DOIs
StatePublished - Jan 1 2019

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Manuscripts
Delivery of Health Care
Health Services Needs and Demand
Information Storage and Retrieval
Emergency Medical Services
Population Characteristics
PubMed
Emergencies
Randomized Controlled Trials
Outcome Assessment (Health Care)

ASJC Scopus subject areas

  • Emergency Medicine

Cite this

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title = "Limited data to support improved outcomes after community paramedicine intervention: A systematic review",
abstract = "Background: Community paramedicine (CP) leverages trained emergency medical services personnel outside of emergency response as an innovative model of health care delivery. Often used to bridge local gaps in healthcare delivery, the CP model has existed for decades. Recently, the number of programs has increased. However, the level of robust data to support this model is less well known. Objective: To describe the evidence supporting community paramedicine practice. Data sources: OVID, PubMed, SCOPUS, EMBASE, Google Scholar-WorldCat, OpenGrey. Study appraisal and synthesis methods: Three people independently reviewed each abstract and subsequently eligible manuscript using prespecified criteria. A narrative synthesis of the findings from the included studies, structured around the type of intervention, target population characteristics, type of outcome and intervention content is presented. Results: A total of 1098 titles/abstracts were identified. Of these 21 manuscripts met our eligibility criteria for full manuscript review. After full manuscript review, only 6 ultimately met all eligibility criteria. Given the heterogeneity of study design and outcomes, we report a description of each study. Overall, this review suggests CP is effective at reducing acute care utilization. Limitations: The small number of available manuscripts, combined with the lack of robust study designs (only one randomized controlled trial) limits our findings. Conclusions: Initial studies suggest benefits of the CP model; however, notable evidence gaps remain.",
author = "Peter Pang and Megan Litzau and Mark Liao and Jennifer Herron and Elizabeth Weinstein and Christopher Weaver and Dan Daniel and Charles Miramonti",
year = "2019",
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AU - Liao, Mark

AU - Herron, Jennifer

AU - Weinstein, Elizabeth

AU - Weaver, Christopher

AU - Daniel, Dan

AU - Miramonti, Charles

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