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Methods for estimating the cost of treat‐and‐release emergency department visits

Objective To evaluate and compare approaches to estimating the service delivery cost of emergency department (ED) visits from total charge data only. Data Sources The 2013–2017 Healthcare Cost and Utilization Project's (HCUP) State Emergency Department Databases (SEDD) and the Centers for Medic...

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Published in:Health services research 2021-10, Vol.56 (5), p.953-961
Main Authors: Pickens, Gary T., Moore, Brian, Smith, Mark W., McDermott, Kimberly W., Mummert, Amanda, Karaca, Zeynal
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creator Pickens, Gary T.
Moore, Brian
Smith, Mark W.
McDermott, Kimberly W.
Mummert, Amanda
Karaca, Zeynal
description Objective To evaluate and compare approaches to estimating the service delivery cost of emergency department (ED) visits from total charge data only. Data Sources The 2013–2017 Healthcare Cost and Utilization Project's (HCUP) State Emergency Department Databases (SEDD) and the Centers for Medicare and Medicaid Services Healthcare Cost Report Information System (HCRIS) public use files. Study Design Compare a baseline approach (requiring cost‐center‐level charge detail) and four alternative methods (relying on total charges only) for estimating ED visit costs. Estimation errors are calculated after applying each method to a sample of ED visits, treating estimates from the baseline approach as the “true” cost. Performance metrics are calculated at the visit and hospital levels. Data Collection/Extraction Methods The charges, revenue center codes, and patient/hospital characteristics were extracted from the SEDD. Detailed costs and charges were extracted from HCRIS public use files. Principal Findings Baseline (“true”) ED visit costs increased from $383 to $420 per visit between 2013 and 2017. Three methods performed comparatively well estimating mean cost per visit. The method using an overall cost‐to‐charge ratio (CCR) for all ancillary cost centers without regression adjustment (ANC‐CCR) performed the worst, overestimating “true” costs by $63–$113 per visit. The other three methods, which used CCRs computed from selected cost centers, exhibited much smaller bias, with two of the methods yielding estimates within $2 of the “true” cost in 2017. Compared with ANC‐CCR, the other three methods had more compact estimation error distributions. The estimated mean visit costs from all four methods have relatively small statistical variance, with 95% confidence intervals for mean cost in a hospital with 25,000 ED visits ranging between $4 and $7. Conclusions When cost‐center‐level charge detail for ED visits is unavailable, alternative methods relying on total ED charges can estimate ED service costs for patient and hospital segments.
doi_str_mv 10.1111/1475-6773.13709
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Data Sources The 2013–2017 Healthcare Cost and Utilization Project's (HCUP) State Emergency Department Databases (SEDD) and the Centers for Medicare and Medicaid Services Healthcare Cost Report Information System (HCRIS) public use files. Study Design Compare a baseline approach (requiring cost‐center‐level charge detail) and four alternative methods (relying on total charges only) for estimating ED visit costs. Estimation errors are calculated after applying each method to a sample of ED visits, treating estimates from the baseline approach as the “true” cost. Performance metrics are calculated at the visit and hospital levels. Data Collection/Extraction Methods The charges, revenue center codes, and patient/hospital characteristics were extracted from the SEDD. Detailed costs and charges were extracted from HCRIS public use files. Principal Findings Baseline (“true”) ED visit costs increased from $383 to $420 per visit between 2013 and 2017. Three methods performed comparatively well estimating mean cost per visit. The method using an overall cost‐to‐charge ratio (CCR) for all ancillary cost centers without regression adjustment (ANC‐CCR) performed the worst, overestimating “true” costs by $63–$113 per visit. The other three methods, which used CCRs computed from selected cost centers, exhibited much smaller bias, with two of the methods yielding estimates within $2 of the “true” cost in 2017. Compared with ANC‐CCR, the other three methods had more compact estimation error distributions. The estimated mean visit costs from all four methods have relatively small statistical variance, with 95% confidence intervals for mean cost in a hospital with 25,000 ED visits ranging between $4 and $7. Conclusions When cost‐center‐level charge detail for ED visits is unavailable, alternative methods relying on total ED charges can estimate ED service costs for patient and hospital segments.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/1475-6773.13709</identifier><identifier>PMID: 34350589</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Centers for Medicare and Medicaid Services, U.S ; Confidence intervals ; Costs ; costs and cost analysis ; Data collection ; direct service costs ; Emergency medical care ; Emergency medical services ; Emergency service ; Emergency Service, Hospital - economics ; Emergency services ; Estimates ; Estimation ; Evaluation ; Extraction ; fees and charges ; Government programs ; Health care ; Health care costs ; Health care expenditures ; Health services utilization ; hospital charges ; Hospital Charges - statistics &amp; numerical data ; hospital costs ; Hospital Costs - statistics &amp; numerical data ; Hospital emergency services ; Hospitalization ; Hospitals ; Humans ; Mathematical analysis ; Mean ; Medicaid ; Medical care, Cost of ; Medicare ; Methods ; Methods Corner ; Models, Economic ; Patients ; Performance measurement ; Public use ; Research Design ; Statistical analysis ; Statistical methods ; United States ; Visits</subject><ispartof>Health services research, 2021-10, Vol.56 (5), p.953-961</ispartof><rights>2021 Health Research and Educational Trust. 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Data Sources The 2013–2017 Healthcare Cost and Utilization Project's (HCUP) State Emergency Department Databases (SEDD) and the Centers for Medicare and Medicaid Services Healthcare Cost Report Information System (HCRIS) public use files. Study Design Compare a baseline approach (requiring cost‐center‐level charge detail) and four alternative methods (relying on total charges only) for estimating ED visit costs. Estimation errors are calculated after applying each method to a sample of ED visits, treating estimates from the baseline approach as the “true” cost. Performance metrics are calculated at the visit and hospital levels. Data Collection/Extraction Methods The charges, revenue center codes, and patient/hospital characteristics were extracted from the SEDD. Detailed costs and charges were extracted from HCRIS public use files. Principal Findings Baseline (“true”) ED visit costs increased from $383 to $420 per visit between 2013 and 2017. Three methods performed comparatively well estimating mean cost per visit. The method using an overall cost‐to‐charge ratio (CCR) for all ancillary cost centers without regression adjustment (ANC‐CCR) performed the worst, overestimating “true” costs by $63–$113 per visit. The other three methods, which used CCRs computed from selected cost centers, exhibited much smaller bias, with two of the methods yielding estimates within $2 of the “true” cost in 2017. Compared with ANC‐CCR, the other three methods had more compact estimation error distributions. The estimated mean visit costs from all four methods have relatively small statistical variance, with 95% confidence intervals for mean cost in a hospital with 25,000 ED visits ranging between $4 and $7. 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Moore, Brian ; Smith, Mark W. ; McDermott, Kimberly W. ; Mummert, Amanda ; Karaca, Zeynal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c7139-4af7896794f5e82cfbbe0c4d9c3dffab4c850f733e4481f9dc3bcf6833c6cb9c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Centers for Medicare and Medicaid Services, U.S</topic><topic>Confidence intervals</topic><topic>Costs</topic><topic>costs and cost analysis</topic><topic>Data collection</topic><topic>direct service costs</topic><topic>Emergency medical care</topic><topic>Emergency medical services</topic><topic>Emergency service</topic><topic>Emergency Service, Hospital - economics</topic><topic>Emergency services</topic><topic>Estimates</topic><topic>Estimation</topic><topic>Evaluation</topic><topic>Extraction</topic><topic>fees and charges</topic><topic>Government programs</topic><topic>Health care</topic><topic>Health care costs</topic><topic>Health care expenditures</topic><topic>Health services utilization</topic><topic>hospital charges</topic><topic>Hospital Charges - statistics &amp; numerical data</topic><topic>hospital costs</topic><topic>Hospital Costs - statistics &amp; numerical data</topic><topic>Hospital emergency services</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Mathematical analysis</topic><topic>Mean</topic><topic>Medicaid</topic><topic>Medical care, Cost of</topic><topic>Medicare</topic><topic>Methods</topic><topic>Methods Corner</topic><topic>Models, Economic</topic><topic>Patients</topic><topic>Performance measurement</topic><topic>Public use</topic><topic>Research Design</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>United States</topic><topic>Visits</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pickens, Gary T.</creatorcontrib><creatorcontrib>Moore, Brian</creatorcontrib><creatorcontrib>Smith, Mark W.</creatorcontrib><creatorcontrib>McDermott, Kimberly W.</creatorcontrib><creatorcontrib>Mummert, Amanda</creatorcontrib><creatorcontrib>Karaca, Zeynal</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale In Context: High School</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pickens, Gary T.</au><au>Moore, Brian</au><au>Smith, Mark W.</au><au>McDermott, Kimberly W.</au><au>Mummert, Amanda</au><au>Karaca, Zeynal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methods for estimating the cost of treat‐and‐release emergency department visits</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2021-10</date><risdate>2021</risdate><volume>56</volume><issue>5</issue><spage>953</spage><epage>961</epage><pages>953-961</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><abstract>Objective To evaluate and compare approaches to estimating the service delivery cost of emergency department (ED) visits from total charge data only. Data Sources The 2013–2017 Healthcare Cost and Utilization Project's (HCUP) State Emergency Department Databases (SEDD) and the Centers for Medicare and Medicaid Services Healthcare Cost Report Information System (HCRIS) public use files. Study Design Compare a baseline approach (requiring cost‐center‐level charge detail) and four alternative methods (relying on total charges only) for estimating ED visit costs. Estimation errors are calculated after applying each method to a sample of ED visits, treating estimates from the baseline approach as the “true” cost. Performance metrics are calculated at the visit and hospital levels. Data Collection/Extraction Methods The charges, revenue center codes, and patient/hospital characteristics were extracted from the SEDD. Detailed costs and charges were extracted from HCRIS public use files. Principal Findings Baseline (“true”) ED visit costs increased from $383 to $420 per visit between 2013 and 2017. Three methods performed comparatively well estimating mean cost per visit. The method using an overall cost‐to‐charge ratio (CCR) for all ancillary cost centers without regression adjustment (ANC‐CCR) performed the worst, overestimating “true” costs by $63–$113 per visit. The other three methods, which used CCRs computed from selected cost centers, exhibited much smaller bias, with two of the methods yielding estimates within $2 of the “true” cost in 2017. Compared with ANC‐CCR, the other three methods had more compact estimation error distributions. The estimated mean visit costs from all four methods have relatively small statistical variance, with 95% confidence intervals for mean cost in a hospital with 25,000 ED visits ranging between $4 and $7. Conclusions When cost‐center‐level charge detail for ED visits is unavailable, alternative methods relying on total ED charges can estimate ED service costs for patient and hospital segments.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>34350589</pmid><doi>10.1111/1475-6773.13709</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-4689-185X</orcidid><orcidid>https://orcid.org/0000-0001-7744-4476</orcidid><oa>free_for_read</oa></addata></record>
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source Applied Social Sciences Index & Abstracts (ASSIA); Wiley-Blackwell Read & Publish Collection; PubMed Central
subjects Centers for Medicare and Medicaid Services, U.S
Confidence intervals
Costs
costs and cost analysis
Data collection
direct service costs
Emergency medical care
Emergency medical services
Emergency service
Emergency Service, Hospital - economics
Emergency services
Estimates
Estimation
Evaluation
Extraction
fees and charges
Government programs
Health care
Health care costs
Health care expenditures
Health services utilization
hospital charges
Hospital Charges - statistics & numerical data
hospital costs
Hospital Costs - statistics & numerical data
Hospital emergency services
Hospitalization
Hospitals
Humans
Mathematical analysis
Mean
Medicaid
Medical care, Cost of
Medicare
Methods
Methods Corner
Models, Economic
Patients
Performance measurement
Public use
Research Design
Statistical analysis
Statistical methods
United States
Visits
title Methods for estimating the cost of treat‐and‐release emergency department visits
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