Evidence map›Paper›PMID 29382680›Full record

Observational studyBMJ open2018

Are trends in billing for high-intensity emergency care explained by changes in services provided in the emergency department? An observational study among US Medicare beneficiaries.

Laura G Burke, Robert C Wild, E John Orav, Renee Y Hsia

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  7. Rising high-acuity emergency care services independently billed by advanced practice providers, 2013 to 2019.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023
    Article
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  11. UPCODING MEDICARE: IS HEALTHCARE FRAUD AND ABUSE INCREASING?Perspectives in health information managemen · 2021
    Review
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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

4 authors at 3 institutions in 1 country.

Laura G BurkeDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Robert C WildDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
E John OravDepartment of Biostatistics, Harvard T H Chan School of Public Health, Cambridge, Massachusetts, USA.
Renee Y HsiaDepartment of Emergency Medicine, University of California San Francisco, San Francisco, California, USA.
Harvard University · USBeth Israel Deaconess Medical Center · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere has been concern that an increase in billing for high-intensity emergency care is due to changes in coding practices facilitated by electronic health records. We sought to characterise the trends in billing for high-intensity emergency care among Medicare beneficiaries and to examine the degree to which trends in high-intensity billing are explained by changes in patient characteristics and services provided in the emergency department (ED). DESIGN, SETTING AND

participantsObservational study using traditional Medicare claims to identify ED visits at non-federal acute care hospitals for elderly beneficiaries in 2006, 2009 and 2012. OUTCOMES MEASURES: Billing intensity was defined by emergency physician evaluation and management (E&M) codes. We tested for overall trends in high-intensity billing (E&M codes 99285, 99291 and 99292) and in services provided over time using linear regression models, adjusting for patient characteristics. Additionally, we tested for time trends in rates of admission to the hospital and to the intensive care unit (ICU). Next, we classified outpatient visits into 39 diagnosis categories and analysed the change in proportion of high-intensity visits versus the change in number of services. Finally, we quantified the extent to which trends in high-intensity billing are explained by changes in patient demographics and services provided in the ED using multivariable modelling.

resultsHigh-intensity visits grew from 45.8% of 671 103 visits in 2006 to 57.8% of 629 010 visits in 2012 (2.0% absolute increase per year; 95% CI 1.97% to 2.03%) as did the mean number of services provided for admitted (1.28 to 1.41; +0.02 increase in procedures per year; 95% CI 0.018 to 0.021) and discharged ED patients (7.1 to 8.6; +0.25 increase in services per year; 95% CI 0.245 to 0.255). There was a reduction in hospital admission rate from 40.1% to 35.9% (-0.68% per year; 95% CI -0.71% to -0.65%; P<0.001), while the ICU rate of admission rose from 11.7% to 12.3% (+0.11% per year; 95% CI 0.09% to 0.12%; P<0.001). When we stratified by diagnosis category, there was a moderate correlation between change in visits billed as high intensity and the change in mean number of services provided per visit (r=0.38; 95% CI 0.07 to 0.63). Trends in patient characteristics and services provided accounted moderately for the trend in practice intensity for outpatient visits (pseudo R

conclusionsIncreases in services provided in the ED moderately account for the trends in billing for high-intensity emergency care for outpatient visits.

Indexed as

AgedAged, 80 and overClinical CodingEmergency Service, HospitalFees, MedicalFemaleHospital ChargesHospitalizationHumansIntensive Care UnitsLinear ModelsLogistic ModelsMaleMedicareMultivariate AnalysisSensitivity and Specificityhealth policyquality in health care

Identifiers

PMID29382680
PMCPMC5829666
OpenAlexW2790567685

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.