Evidence map›Paper›PMID 36334276›Full record

ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2023

Rising high-acuity emergency care services independently billed by advanced practice providers, 2013 to 2019.

Cameron J Gettel, Jeremiah D Schuur, Jay B Mullen, Arjun K Venkatesh

Open access · greenAbstract read
In one paragraph

Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Estimating the size and scope of the academic emergency physician workforce.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    Article
  7. Article
  8. Article
  9. Emergency medicine physician workforce attrition differences by age and gender.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Cameron J GettelDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-6249-1023
Jeremiah D SchuurDepartment of Emergency Medicine, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Jay B MullenBlueWater Emergency Partners, LLC, Brunswick, Maine, USA.
Arjun K VenkateshDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-8248-0567
Yale University · USBrown University · USBrunswick (United States) · US

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Yale University Clinical and Translational Science Award ProgramKL2TR000140 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$2.9M
Development and validation of the Patient-Reported Outcome Measure - Older adult care Transitions from the Emergency Department (PROM-OTED) toolR03AG073988 · NIA · YALE UNIVERSITY · PI GETTEL, CAMERON · 2021 to 2022
$335k
NCATS NIH HHS KL2 TR000140NIA NIH HHS P30 AG021342NIA NIH HHS R03 AG073988
6 · The paper itself

Abstract

backgroundAdvanced practice providers (APPs) comprise an increasing proportion of the emergency medicine (EM) workforce, particularly in rural geographies. With little known regarding potential expanding practice patterns, we sought to evaluate trends in independent emergency care services billed by APPs from 2013 to 2019.

methodsWe performed a repeated cross-sectional analysis of emergency clinicians independently reimbursed for at least 50 evaluation and management (E/M) services (99281-99285, 99291) from Medicare Part B, with high-acuity services including Codes 99285 and 99291. We describe the outcome proportion of E/M services by acuity level and report at (1) the encounter level and (2) at the clinician level. We stratified analyses by clinician type and geography.

resultsA total of 47,323 EM physicians, 10,555 non-EM physicians, and 26,599 APPs were included in analyses. APPs billed emergency care services independently for 5.1% (rural 7.3%, urban 4.8%) of all high-acuity encounters in 2013, increasing to 9.7% (rural 16.4%, urban 8.8%) by 2019. At the clinician level, in 2013, the average rural-practicing APP independently billed 22.8% of services as high acuity, 72.6% as moderate acuity, and 4.5% as low acuity. By 2019, the average rural-practicing APP independently billed 36.2% of services as high acuity, representing a +58.8% relative increase from 2013. Relative increases in high-acuity visits independently billed by APPs were substantially greater when compared to EM physicians across both rural and urban geographies.

conclusionsIn 2019, APPs billed independent services for approximately one in six high-acuity ED encounters in rural geographies and one in 11 high-acuity ED encounters in urban geographies, and well over one-third of the average APPs' encounters were for high-acuity E/M services. Given differences in training and reimbursement between clinician types, these estimates suggest further work is needed evaluating emergency care staffing decision making.

Indexed as

Emergency Medical ServicesEmergency Service, HospitalAgedCross-Sectional StudiesHumansMedicareUnited StatesWorkforceemergency medicinenurse practitionersphysician assistantsrural healthvisit acuity

Identifiers

PMID36334276
PMCPMC10973948
OpenAlexW4308255666

What OpenQuestion holds

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Registered trials

None linked

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.