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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 |
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creator | Stuart, Bruce 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. |
doi_str_mv | 10.1111/1475-6773.12170 |
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fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4239854</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A378555886</galeid><sourcerecordid>A378555886</sourcerecordid><originalsourceid>FETCH-LOGICAL-c8540-bfde98729bec62d34293b2bb4c2da7678498865617cdf2d12fc48153f305d9943</originalsourceid><addsrcrecordid>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</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1547751555</pqid></control><display><type>article</type><title>Incident User Cohorts for Assessing Medication Cost-Offsets</title><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>Wiley-Blackwell Read & Publish Collection</source><source>PubMed Central</source><creator>Stuart, Bruce ; Loh, F. 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 & Abstracts (ASSIA)</collection><collection>ProQuest Health & 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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