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Incident User Cohorts for Assessing Medication Cost-Offsets

Objective To develop and test incident drug user designs for assessing cost savings from statin use in diabetics. Data Source Random 5 percent sample of Medicare beneficiaries, 2006–2008. Study Design Seven‐step incident user design to assess impact of statin initiation on subsequent Medicare spendi...

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Published in:Health services research 2014-08, Vol.49 (4), p.1364-1386
Main Authors: Stuart, Bruce, Loh, F. Ellen, Roberto, Pamela, Miller, Laura
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Loh, F. Ellen
Roberto, Pamela
Miller, Laura
description Objective To develop and test incident drug user designs for assessing cost savings from statin use in diabetics. Data Source Random 5 percent sample of Medicare beneficiaries, 2006–2008. Study Design Seven‐step incident user design to assess impact of statin initiation on subsequent Medicare spending: (1) unadjusted pre/post initiation test; (2) unadjusted difference‐in‐difference (DID) with comparison series; (3) adjusted DID; (4) propensity score (PS)‐matched DID with static and dynamic baseline covariates; (5) PS‐matched DID by drug adherence strata; (6) PS‐matched DID for high adherers controlling for healthy adherer bias; and (7) replication for ACE‐inhibitor/ARB initiators. Data Collection/Extraction Methods Subjects with prevalent diabetes and no statin use (January–June 2006) and statin initiation (July 2006–January 2008) compared to nonusers with a random “potential‐initiation” month. Monthly Medicare spending tracked 24 months pre‐ and post‐initiation. Principal Findings Statistically significant savings in Medicare spending were observed beginning 7 months post‐initiation for statins and 13 months post‐initiation for ACEIs/ARBs. However, these savings were only observed for adherent patients in steps 5 and 6. Conclusions Drug initiator designs are more robust to confounding than prevalent user designs in assessing cost‐offsets from drug use but still require other adjustments and sensitivity analysis to ensure proper inference.
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Ellen ; Roberto, Pamela ; Miller, Laura</creator><creatorcontrib>Stuart, Bruce ; Loh, F. Ellen ; Roberto, Pamela ; Miller, Laura</creatorcontrib><description>Objective To develop and test incident drug user designs for assessing cost savings from statin use in diabetics. Data Source Random 5 percent sample of Medicare beneficiaries, 2006–2008. Study Design Seven‐step incident user design to assess impact of statin initiation on subsequent Medicare spending: (1) unadjusted pre/post initiation test; (2) unadjusted difference‐in‐difference (DID) with comparison series; (3) adjusted DID; (4) propensity score (PS)‐matched DID with static and dynamic baseline covariates; (5) PS‐matched DID by drug adherence strata; (6) PS‐matched DID for high adherers controlling for healthy adherer bias; and (7) replication for ACE‐inhibitor/ARB initiators. Data Collection/Extraction Methods Subjects with prevalent diabetes and no statin use (January–June 2006) and statin initiation (July 2006–January 2008) compared to nonusers with a random “potential‐initiation” month. Monthly Medicare spending tracked 24 months pre‐ and post‐initiation. Principal Findings Statistically significant savings in Medicare spending were observed beginning 7 months post‐initiation for statins and 13 months post‐initiation for ACEIs/ARBs. However, these savings were only observed for adherent patients in steps 5 and 6. Conclusions Drug initiator designs are more robust to confounding than prevalent user designs in assessing cost‐offsets from drug use but still require other adjustments and sensitivity analysis to ensure proper inference.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/1475-6773.12170</identifier><identifier>PMID: 24628528</identifier><identifier>CODEN: HESEA5</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Aged ; Aged, 80 and over ; Analysis ; Cohort Studies ; Comparative Effectiveness Research ; Cost control ; Cost Savings ; cost-offsets ; Databases, Factual ; Diabetes ; Diabetes Mellitus ; Drug initiator design ; Expenditure ; Female ; Humans ; Hydroxymethylglutaryl-CoA Reductase Inhibitors - economics ; Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use ; Initiation ; Male ; Medical economics ; Medicare ; Medicare Part A - economics ; Medicare Part B - economics ; Methods ; Middle Aged ; Outcome Assessment, Health Care ; Prescription drugs ; Propensity Score ; Research Design ; Savings ; Sensitivity analysis ; Statins ; Studies ; United States</subject><ispartof>Health services research, 2014-08, Vol.49 (4), p.1364-1386</ispartof><rights>Health Research and Educational Trust</rights><rights>Health Research and Educational Trust.</rights><rights>COPYRIGHT 2014 Health Research and Educational Trust</rights><rights>COPYRIGHT 2014 Health Research and Educational Trust</rights><rights>Copyright © 2014 Health Research and Educational Trust</rights><rights>Health Research and Educational Trust 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c8540-bfde98729bec62d34293b2bb4c2da7678498865617cdf2d12fc48153f305d9943</citedby><cites>FETCH-LOGICAL-c8540-bfde98729bec62d34293b2bb4c2da7678498865617cdf2d12fc48153f305d9943</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239854/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239854/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,30999,31000,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24628528$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stuart, Bruce</creatorcontrib><creatorcontrib>Loh, F. Ellen</creatorcontrib><creatorcontrib>Roberto, Pamela</creatorcontrib><creatorcontrib>Miller, Laura</creatorcontrib><title>Incident User Cohorts for Assessing Medication Cost-Offsets</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Objective To develop and test incident drug user designs for assessing cost savings from statin use in diabetics. Data Source Random 5 percent sample of Medicare beneficiaries, 2006–2008. Study Design Seven‐step incident user design to assess impact of statin initiation on subsequent Medicare spending: (1) unadjusted pre/post initiation test; (2) unadjusted difference‐in‐difference (DID) with comparison series; (3) adjusted DID; (4) propensity score (PS)‐matched DID with static and dynamic baseline covariates; (5) PS‐matched DID by drug adherence strata; (6) PS‐matched DID for high adherers controlling for healthy adherer bias; and (7) replication for ACE‐inhibitor/ARB initiators. Data Collection/Extraction Methods Subjects with prevalent diabetes and no statin use (January–June 2006) and statin initiation (July 2006–January 2008) compared to nonusers with a random “potential‐initiation” month. Monthly Medicare spending tracked 24 months pre‐ and post‐initiation. Principal Findings Statistically significant savings in Medicare spending were observed beginning 7 months post‐initiation for statins and 13 months post‐initiation for ACEIs/ARBs. However, these savings were only observed for adherent patients in steps 5 and 6. Conclusions Drug initiator designs are more robust to confounding than prevalent user designs in assessing cost‐offsets from drug use but still require other adjustments and sensitivity analysis to ensure proper inference.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Cohort Studies</subject><subject>Comparative Effectiveness Research</subject><subject>Cost control</subject><subject>Cost Savings</subject><subject>cost-offsets</subject><subject>Databases, Factual</subject><subject>Diabetes</subject><subject>Diabetes Mellitus</subject><subject>Drug initiator design</subject><subject>Expenditure</subject><subject>Female</subject><subject>Humans</subject><subject>Hydroxymethylglutaryl-CoA Reductase Inhibitors - economics</subject><subject>Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use</subject><subject>Initiation</subject><subject>Male</subject><subject>Medical economics</subject><subject>Medicare</subject><subject>Medicare Part A - economics</subject><subject>Medicare Part B - economics</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Outcome Assessment, Health Care</subject><subject>Prescription drugs</subject><subject>Propensity Score</subject><subject>Research Design</subject><subject>Savings</subject><subject>Sensitivity analysis</subject><subject>Statins</subject><subject>Studies</subject><subject>United States</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqNklFv0zAUhSMEYqXwzBuqhIRAIptjO7GjSUhVtXWTulUaHXu0EsdJPdJ45CbA_j03a1caVAHOgyXnu0fHx8fzXgfkMMB1FHAR-pEQ7DCggSBPvMH25Kk3ICQQfhxQfuC9ALglhEgm-XPvgPKIypDKgXd8XmmbmaoZXYOpRxO3dHUDo9zVozGAAbBVMbowmdVJY12FADT-PM_BNPDSe5YnJZhXm33oXZ-eLCZn_mw-PZ-MZ76WISd-mmcmloLGqdERzRinMUtpmnJNs0REQvJYyiiMAqGznGYBzTWXQchyRsIsjjkbep_WundtujKZRrd1Uqq72q6S-l65xKr-n8ouVeG-K05ZjBZQ4P1GoHbfWgONWlnQpiyTyrgWVBCGMo4JFf-DchkxRjDgoff2D_TWtXWFSXSUECHKhr-pIimNslXu0KLuRNWYCYkIXh4pfw9VmMrgfVxlcovHPf5wD49fZlZW7x340BtApjE_myJpAZSczv5mZsNqV5amMArfdjLv8-92-KVJymYJrmy7wkAf_LgDpi2W66FhYItlA2svPfxojevaAdQm3z55QFRXf9WVXXVlVw_1x4k3u03Z8o99RyBaAz8wn_t_6amzk89Xj8qbTCxgFtvBpP6KPMOpm8upOr1asC-XFwt1w34BlcMYLg</recordid><startdate>201408</startdate><enddate>201408</enddate><creator>Stuart, Bruce</creator><creator>Loh, F. Ellen</creator><creator>Roberto, Pamela</creator><creator>Miller, Laura</creator><general>Blackwell Publishing Ltd</general><general>Health Research and Educational Trust</general><general>Blackwell Science Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>8GL</scope><scope>7QJ</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201408</creationdate><title>Incident User Cohorts for Assessing Medication Cost-Offsets</title><author>Stuart, Bruce ; Loh, F. Ellen ; Roberto, Pamela ; Miller, Laura</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c8540-bfde98729bec62d34293b2bb4c2da7678498865617cdf2d12fc48153f305d9943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Cohort Studies</topic><topic>Comparative Effectiveness Research</topic><topic>Cost control</topic><topic>Cost Savings</topic><topic>cost-offsets</topic><topic>Databases, Factual</topic><topic>Diabetes</topic><topic>Diabetes Mellitus</topic><topic>Drug initiator design</topic><topic>Expenditure</topic><topic>Female</topic><topic>Humans</topic><topic>Hydroxymethylglutaryl-CoA Reductase Inhibitors - economics</topic><topic>Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use</topic><topic>Initiation</topic><topic>Male</topic><topic>Medical economics</topic><topic>Medicare</topic><topic>Medicare Part A - economics</topic><topic>Medicare Part B - economics</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Outcome Assessment, Health Care</topic><topic>Prescription drugs</topic><topic>Propensity Score</topic><topic>Research Design</topic><topic>Savings</topic><topic>Sensitivity analysis</topic><topic>Statins</topic><topic>Studies</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stuart, Bruce</creatorcontrib><creatorcontrib>Loh, F. Ellen</creatorcontrib><creatorcontrib>Roberto, Pamela</creatorcontrib><creatorcontrib>Miller, Laura</creatorcontrib><collection>Istex</collection><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>Stuart, Bruce</au><au>Loh, F. Ellen</au><au>Roberto, Pamela</au><au>Miller, Laura</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Incident User Cohorts for Assessing Medication Cost-Offsets</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2014-08</date><risdate>2014</risdate><volume>49</volume><issue>4</issue><spage>1364</spage><epage>1386</epage><pages>1364-1386</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><coden>HESEA5</coden><abstract>Objective To develop and test incident drug user designs for assessing cost savings from statin use in diabetics. Data Source Random 5 percent sample of Medicare beneficiaries, 2006–2008. Study Design Seven‐step incident user design to assess impact of statin initiation on subsequent Medicare spending: (1) unadjusted pre/post initiation test; (2) unadjusted difference‐in‐difference (DID) with comparison series; (3) adjusted DID; (4) propensity score (PS)‐matched DID with static and dynamic baseline covariates; (5) PS‐matched DID by drug adherence strata; (6) PS‐matched DID for high adherers controlling for healthy adherer bias; and (7) replication for ACE‐inhibitor/ARB initiators. Data Collection/Extraction Methods Subjects with prevalent diabetes and no statin use (January–June 2006) and statin initiation (July 2006–January 2008) compared to nonusers with a random “potential‐initiation” month. Monthly Medicare spending tracked 24 months pre‐ and post‐initiation. Principal Findings Statistically significant savings in Medicare spending were observed beginning 7 months post‐initiation for statins and 13 months post‐initiation for ACEIs/ARBs. However, these savings were only observed for adherent patients in steps 5 and 6. Conclusions Drug initiator designs are more robust to confounding than prevalent user designs in assessing cost‐offsets from drug use but still require other adjustments and sensitivity analysis to ensure proper inference.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>24628528</pmid><doi>10.1111/1475-6773.12170</doi><tpages>23</tpages><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 Aged
Aged, 80 and over
Analysis
Cohort Studies
Comparative Effectiveness Research
Cost control
Cost Savings
cost-offsets
Databases, Factual
Diabetes
Diabetes Mellitus
Drug initiator design
Expenditure
Female
Humans
Hydroxymethylglutaryl-CoA Reductase Inhibitors - economics
Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use
Initiation
Male
Medical economics
Medicare
Medicare Part A - economics
Medicare Part B - economics
Methods
Middle Aged
Outcome Assessment, Health Care
Prescription drugs
Propensity Score
Research Design
Savings
Sensitivity analysis
Statins
Studies
United States
title Incident User Cohorts for Assessing Medication Cost-Offsets
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