Changes in screening colonoscopy following Medicare reimbursement and cost‐sharing changes
Objectives To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare began reimbursement in 2001 and when the Affordable Care Act (ACA) eliminated cost‐sharing. Data Sources Twenty percent random sam...
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          | Published in | Health services research Vol. 54; no. 4; pp. 839 - 850 | 
|---|---|
| Main Authors | , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        United States
          Health Research and Educational Trust
    
        01.08.2019
     Blackwell Publishing Ltd John Wiley and Sons Inc  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0017-9124 1475-6773 1475-6773  | 
| DOI | 10.1111/1475-6773.13150 | 
Cover
| Abstract | Objectives
To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare began reimbursement in 2001 and when the Affordable Care Act (ACA) eliminated cost‐sharing.
Data Sources
Twenty percent random sample of fee‐for‐service (FFS) Medicare claims, 2000‐2012.
Study Design
Using recent administrative codes as tarnished gold standards, we examined the sensitivity and specificity of five published algorithms for classifying colonoscopies and calculated annual screening colonoscopy rates. We estimated the change in rates after Medicare began reimbursement and used difference‐in‐differences analysis to estimate the effects of eliminating cost‐sharing by comparing states with and without a mandate to cover screening colonoscopy prior to the ACA.
Findings
Model‐based algorithms have higher sensitivity (0.53‐0.99) than expert‐based algorithms (0.35‐0.39), but lower specificity (0.43‐0.65 vs 0.79‐0.88). All algorithms detected increases in screening from both Medicare's reimbursement change (range: 24‐93/10 000) and the 2011 cost‐sharing change (range: 1.1‐34/10 000). Difference‐in‐difference estimates of the ACA's effect varied from 51 to 155 tests per 10 000 depending on the algorithm.
Conclusions
Screening colonoscopy rates increased after eliminating cost‐sharing in 2011, but the increase's size varied depending on the algorithm used to classify the indication. Improvements are needed in Medicare coding for screening. | 
    
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| AbstractList | Objectives: To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare began reimbursement in 2001 and when the Affordable Care Act (ACA) eliminated cost-sharing. Data Sources: Twenty percent random sample of fee-for-service (FFS) Medicare claims, 2000-2012. Study Design: Using recent administrative codes as tarnished gold standards, we examined the sensitivity and specificity of five published algorithms for classifying colonoscopies and calculated annual screening colonoscopy rates. We estimated the change in rates after Medicare began reimbursement and used difference-indifferences analysis to estimate the effects of eliminating cost-sharing by comparing states with and without a mandate to cover screening colonoscopy prior to the ACA. Findings: Model-based algorithms have higher sensitivity (0.53-0.99) than expert-based algorithms (0.35-0.39), but lower specificity (0.43-0.65 vs 0.79-0.88). All algorithms detected increases in screening from both Medicare's reimbursement change (range: 24-93/10 000) and the 2011 cost-sharing change (range: 1.1-34/10 000). Difference-in-difference estimates of the ACA's effect varied from 51 to 155 tests per 10 000 depending on the algorithm. Conclusions: Screening colonoscopy rates increased after eliminating cost-sharing in 2011, but the increase's size varied depending on the algorithm used to classify the indication. Improvements are needed in Medicare coding for screening. KEYWORDS Affordable Care Act, algorithm, claims data, cost-sharing, screening colonoscopy Objectives To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare began reimbursement in 2001 and when the Affordable Care Act (ACA) eliminated cost‐sharing. Data Sources Twenty percent random sample of fee‐for‐service (FFS) Medicare claims, 2000‐2012. Study Design Using recent administrative codes as tarnished gold standards, we examined the sensitivity and specificity of five published algorithms for classifying colonoscopies and calculated annual screening colonoscopy rates. We estimated the change in rates after Medicare began reimbursement and used difference‐in‐differences analysis to estimate the effects of eliminating cost‐sharing by comparing states with and without a mandate to cover screening colonoscopy prior to the ACA. Findings Model‐based algorithms have higher sensitivity (0.53‐0.99) than expert‐based algorithms (0.35‐0.39), but lower specificity (0.43‐0.65 vs 0.79‐0.88). All algorithms detected increases in screening from both Medicare's reimbursement change (range: 24‐93/10 000) and the 2011 cost‐sharing change (range: 1.1‐34/10 000). Difference‐in‐difference estimates of the ACA's effect varied from 51 to 155 tests per 10 000 depending on the algorithm. Conclusions Screening colonoscopy rates increased after eliminating cost‐sharing in 2011, but the increase's size varied depending on the algorithm used to classify the indication. Improvements are needed in Medicare coding for screening. ObjectivesTo compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare began reimbursement in 2001 and when the Affordable Care Act (ACA) eliminated cost‐sharing.Data SourcesTwenty percent random sample of fee‐for‐service (FFS) Medicare claims, 2000‐2012.Study DesignUsing recent administrative codes as tarnished gold standards, we examined the sensitivity and specificity of five published algorithms for classifying colonoscopies and calculated annual screening colonoscopy rates. We estimated the change in rates after Medicare began reimbursement and used difference‐in‐differences analysis to estimate the effects of eliminating cost‐sharing by comparing states with and without a mandate to cover screening colonoscopy prior to the ACA.FindingsModel‐based algorithms have higher sensitivity (0.53‐0.99) than expert‐based algorithms (0.35‐0.39), but lower specificity (0.43‐0.65 vs 0.79‐0.88). All algorithms detected increases in screening from both Medicare's reimbursement change (range: 24‐93/10 000) and the 2011 cost‐sharing change (range: 1.1‐34/10 000). Difference‐in‐difference estimates of the ACA's effect varied from 51 to 155 tests per 10 000 depending on the algorithm.ConclusionsScreening colonoscopy rates increased after eliminating cost‐sharing in 2011, but the increase's size varied depending on the algorithm used to classify the indication. Improvements are needed in Medicare coding for screening. To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare began reimbursement in 2001 and when the Affordable Care Act (ACA) eliminated cost-sharing. Twenty percent random sample of fee-for-service (FFS) Medicare claims, 2000-2012. Using recent administrative codes as tarnished gold standards, we examined the sensitivity and specificity of five published algorithms for classifying colonoscopies and calculated annual screening colonoscopy rates. We estimated the change in rates after Medicare began reimbursement and used difference-in-differences analysis to estimate the effects of eliminating cost-sharing by comparing states with and without a mandate to cover screening colonoscopy prior to the ACA. Model-based algorithms have higher sensitivity (0.53-0.99) than expert-based algorithms (0.35-0.39), but lower specificity (0.43-0.65 vs 0.79-0.88). All algorithms detected increases in screening from both Medicare's reimbursement change (range: 24-93/10 000) and the 2011 cost-sharing change (range: 1.1-34/10 000). Difference-in-difference estimates of the ACA's effect varied from 51 to 155 tests per 10 000 depending on the algorithm. Screening colonoscopy rates increased after eliminating cost-sharing in 2011, but the increase's size varied depending on the algorithm used to classify the indication. Improvements are needed in Medicare coding for screening. To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare began reimbursement in 2001 and when the Affordable Care Act (ACA) eliminated cost-sharing.OBJECTIVESTo compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare began reimbursement in 2001 and when the Affordable Care Act (ACA) eliminated cost-sharing.Twenty percent random sample of fee-for-service (FFS) Medicare claims, 2000-2012.DATA SOURCESTwenty percent random sample of fee-for-service (FFS) Medicare claims, 2000-2012.Using recent administrative codes as tarnished gold standards, we examined the sensitivity and specificity of five published algorithms for classifying colonoscopies and calculated annual screening colonoscopy rates. We estimated the change in rates after Medicare began reimbursement and used difference-in-differences analysis to estimate the effects of eliminating cost-sharing by comparing states with and without a mandate to cover screening colonoscopy prior to the ACA.STUDY DESIGNUsing recent administrative codes as tarnished gold standards, we examined the sensitivity and specificity of five published algorithms for classifying colonoscopies and calculated annual screening colonoscopy rates. We estimated the change in rates after Medicare began reimbursement and used difference-in-differences analysis to estimate the effects of eliminating cost-sharing by comparing states with and without a mandate to cover screening colonoscopy prior to the ACA.Model-based algorithms have higher sensitivity (0.53-0.99) than expert-based algorithms (0.35-0.39), but lower specificity (0.43-0.65 vs 0.79-0.88). All algorithms detected increases in screening from both Medicare's reimbursement change (range: 24-93/10 000) and the 2011 cost-sharing change (range: 1.1-34/10 000). Difference-in-difference estimates of the ACA's effect varied from 51 to 155 tests per 10 000 depending on the algorithm.FINDINGSModel-based algorithms have higher sensitivity (0.53-0.99) than expert-based algorithms (0.35-0.39), but lower specificity (0.43-0.65 vs 0.79-0.88). All algorithms detected increases in screening from both Medicare's reimbursement change (range: 24-93/10 000) and the 2011 cost-sharing change (range: 1.1-34/10 000). Difference-in-difference estimates of the ACA's effect varied from 51 to 155 tests per 10 000 depending on the algorithm.Screening colonoscopy rates increased after eliminating cost-sharing in 2011, but the increase's size varied depending on the algorithm used to classify the indication. Improvements are needed in Medicare coding for screening.CONCLUSIONSScreening colonoscopy rates increased after eliminating cost-sharing in 2011, but the increase's size varied depending on the algorithm used to classify the indication. Improvements are needed in Medicare coding for screening.  | 
    
| Audience | Trade | 
    
| Author | Newhouse, Joseph P. Hsu, John Song, Lina D. Garcia‐De‐Albeniz, Xabier  | 
    
| AuthorAffiliation | 3 Department of Health Care Policy Harvard Medical School Boston Massachusetts 6 Faculty of Arts and Sciences Harvard University Cambridge Massachusetts 1 PhD Program in Health Policy The Graduate School of Arts and Sciences Harvard University Cambridge Massachusetts 4 Department of Health Policy and Management Harvard T.H. Chan School of Public Health Boston Massachusetts 7 Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts 2 Health Policy Research Center Mongan Institute, Massachusetts General Hospital Boston Massachusetts 5 The John F. Kennedy School of Government Harvard University Cambridge Massachusetts  | 
    
| AuthorAffiliation_xml | – name: 1 PhD Program in Health Policy The Graduate School of Arts and Sciences Harvard University Cambridge Massachusetts – name: 7 Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts – name: 2 Health Policy Research Center Mongan Institute, Massachusetts General Hospital Boston Massachusetts – name: 4 Department of Health Policy and Management Harvard T.H. Chan School of Public Health Boston Massachusetts – name: 6 Faculty of Arts and Sciences Harvard University Cambridge Massachusetts – name: 3 Department of Health Care Policy Harvard Medical School Boston Massachusetts – name: 5 The John F. Kennedy School of Government Harvard University Cambridge Massachusetts  | 
    
| Author_xml | – sequence: 1 givenname: Lina D. orcidid: 0000-0003-0971-8054 surname: Song fullname: Song, Lina D. email: dsong@fas.harvard.edu organization: Mongan Institute, Massachusetts General Hospital – sequence: 2 givenname: Joseph P. surname: Newhouse fullname: Newhouse, Joseph P. organization: Harvard University – sequence: 3 givenname: Xabier surname: Garcia‐De‐Albeniz fullname: Garcia‐De‐Albeniz, Xabier organization: Harvard T.H. Chan School of Public Health – sequence: 4 givenname: John surname: Hsu fullname: Hsu, John organization: Harvard Medical School  | 
    
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30941767$$D View this record in MEDLINE/PubMed | 
    
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| Snippet | Objectives
To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates... To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when Medicare... Objectives: To compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates... ObjectivesTo compare existing algorithms for classifying screening vs diagnostic colonoscopies and to quantify the increase in screening colonoscopy rates when...  | 
    
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| SubjectTerms | Affordable Care Act Aged algorithm Algorithms Changes claims data Classification Colon Colonoscopy Colonoscopy - economics Colonoscopy - statistics & numerical data Colorectal Neoplasms - diagnosis Cost analysis Cost sharing Cost Sharing - economics Cost Sharing - statistics & numerical data Diagnostic systems Early Detection of Cancer - economics Early Detection of Cancer - statistics & numerical data Economic aspects False Positive Reactions Female Government programs Government regulation Health Policy and Organizational Behavior Humans Insurance, Health, Reimbursement Interpretation and construction Laws, regulations and rules Legal fees Male Medical economics Medical law Medical screening Medicare Patient Protection and Affordable Care Act - legislation & jurisprudence Reimbursement screening colonoscopy Sensitivity United States  | 
    
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| Title | Changes in screening colonoscopy following Medicare reimbursement and cost‐sharing changes | 
    
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