Neonatal Outcomes in a Medicaid Population With Opioid Dependence

Abstract Confounding may account for the apparently improved infant outcomes after prenatal exposure to buprenorphine versus methadone. We used Massachusetts Medicaid Analytic eXtract (MAX) data to identify a cohort of opioid-dependent mother-infant pairs (2006–2011), supplemented with confounder da...

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Veröffentlicht in:American journal of epidemiology 2018-06, Vol.187 (6), p.1153-1161
Hauptverfasser: Brogly, Susan B, Hernández-Diaz, Sonia, Regan, Emily, Fadli, Ela, Hahn, Kristen A, Werler, Martha M
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container_end_page 1161
container_issue 6
container_start_page 1153
container_title American journal of epidemiology
container_volume 187
creator Brogly, Susan B
Hernández-Diaz, Sonia
Regan, Emily
Fadli, Ela
Hahn, Kristen A
Werler, Martha M
description Abstract Confounding may account for the apparently improved infant outcomes after prenatal exposure to buprenorphine versus methadone. We used Massachusetts Medicaid Analytic eXtract (MAX) data to identify a cohort of opioid-dependent mother-infant pairs (2006–2011), supplemented with confounder data from an external Boston, Massachusetts, cohort (2015–2016). Associations between prenatal buprenorphine exposure versus methadone exposure and infant outcomes in the MAX cohort were adjusted for measured MAX confounders and were additionally adjusted for unmeasured confounders with bias analysis using external cohort data. A total of 477 women in MAX were treated with methadone and 543 with buprenorphine. More buprenorphine users than methadone users were white and used psychotropic medications. After adjustment for MAX confounders, risk ratios among infants exposed to buprenorphine versus those exposed to methadone were 0.45 (95% confidence interval (CI): 0.34, 0.61) for preterm birth (birth at
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We used Massachusetts Medicaid Analytic eXtract (MAX) data to identify a cohort of opioid-dependent mother-infant pairs (2006–2011), supplemented with confounder data from an external Boston, Massachusetts, cohort (2015–2016). Associations between prenatal buprenorphine exposure versus methadone exposure and infant outcomes in the MAX cohort were adjusted for measured MAX confounders and were additionally adjusted for unmeasured confounders with bias analysis using external cohort data. A total of 477 women in MAX were treated with methadone and 543 with buprenorphine. More buprenorphine users than methadone users were white and used psychotropic medications. After adjustment for MAX confounders, risk ratios among infants exposed to buprenorphine versus those exposed to methadone were 0.45 (95% confidence interval (CI): 0.34, 0.61) for preterm birth (birth at &lt;37 weeks) and 0.75 (95% CI: 0.51, 1.11) for low birth weight for gestational age. The mean difference in infant hospitalization was −7.35 days (95% CI: −9.16, −5.55). After further adjustment with bias analysis, the risk ratios were 0.53 (95% CI: 0.39, 0.71) for preterm birth and 1.14 (95% CI: 0.77, 1.69) for low birth weight for gestational age, and the mean difference in infant hospitalization was −3.66 days (95% CI: −5.46, −1.87). External confounder data can be used to adjust for unmeasured confounding in studies of prenatal outcomes among women on opioid agonist therapy based on administrative databases.</description><identifier>ISSN: 0002-9262</identifier><identifier>EISSN: 1476-6256</identifier><identifier>DOI: 10.1093/aje/kwx341</identifier><identifier>PMID: 29155919</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Bias ; Birth weight ; Buprenorphine ; Confidence intervals ; Confounding (Statistics) ; Dependence ; Drug dependence ; Drug withdrawal ; Editor's Choice ; Exposure ; Gestational age ; Government programs ; Health risk assessment ; Infants ; Low birth weight ; Medicaid ; Methadone ; Narcotics ; Neonates ; Newborn babies ; Opioids ; Original Contributions ; Pregnancy ; Premature birth ; Prenatal experience ; Prenatal exposure ; Risk analysis ; Weight</subject><ispartof>American journal of epidemiology, 2018-06, Vol.187 (6), p.1153-1161</ispartof><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2018</rights><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. 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We used Massachusetts Medicaid Analytic eXtract (MAX) data to identify a cohort of opioid-dependent mother-infant pairs (2006–2011), supplemented with confounder data from an external Boston, Massachusetts, cohort (2015–2016). Associations between prenatal buprenorphine exposure versus methadone exposure and infant outcomes in the MAX cohort were adjusted for measured MAX confounders and were additionally adjusted for unmeasured confounders with bias analysis using external cohort data. A total of 477 women in MAX were treated with methadone and 543 with buprenorphine. More buprenorphine users than methadone users were white and used psychotropic medications. After adjustment for MAX confounders, risk ratios among infants exposed to buprenorphine versus those exposed to methadone were 0.45 (95% confidence interval (CI): 0.34, 0.61) for preterm birth (birth at &lt;37 weeks) and 0.75 (95% CI: 0.51, 1.11) for low birth weight for gestational age. The mean difference in infant hospitalization was −7.35 days (95% CI: −9.16, −5.55). After further adjustment with bias analysis, the risk ratios were 0.53 (95% CI: 0.39, 0.71) for preterm birth and 1.14 (95% CI: 0.77, 1.69) for low birth weight for gestational age, and the mean difference in infant hospitalization was −3.66 days (95% CI: −5.46, −1.87). External confounder data can be used to adjust for unmeasured confounding in studies of prenatal outcomes among women on opioid agonist therapy based on administrative databases.</description><subject>Bias</subject><subject>Birth weight</subject><subject>Buprenorphine</subject><subject>Confidence intervals</subject><subject>Confounding (Statistics)</subject><subject>Dependence</subject><subject>Drug dependence</subject><subject>Drug withdrawal</subject><subject>Editor's Choice</subject><subject>Exposure</subject><subject>Gestational age</subject><subject>Government programs</subject><subject>Health risk assessment</subject><subject>Infants</subject><subject>Low birth weight</subject><subject>Medicaid</subject><subject>Methadone</subject><subject>Narcotics</subject><subject>Neonates</subject><subject>Newborn babies</subject><subject>Opioids</subject><subject>Original Contributions</subject><subject>Pregnancy</subject><subject>Premature birth</subject><subject>Prenatal experience</subject><subject>Prenatal exposure</subject><subject>Risk analysis</subject><subject>Weight</subject><issn>0002-9262</issn><issn>1476-6256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kctKxTAQhoMoerxsfAApiCBCNUnbNNkI4h3U40JxGdJkojn2JLVpvby9laOiLlwNzHz8_MOH0DrBuwSLbE9NYO_x5TXLyRwakbxkKaMFm0cjjDFNBWV0CS3HOMGYEFHgRbREBSkKQcQIHVxB8KpTdTLuOx2mEBPnE5VcgnFaOZNch6avVeeCT-5c95CMGxeG9RE04A14Datowao6wtrnXEG3J8c3h2fpxfj0_PDgItU5o11qOM64LpWobMENLUtbcWErIQzTlgOz2FLLc8UsUE2r3FTC4NIoYYi1QqtsBe3Pcpu-moLR4LtW1bJp3VS1bzIoJ39fvHuQ9-FZFoLTkmdDwPZnQBueeoidnLqooa6Vh9BHSQRjguc5ywd08w86CX3rh_ckzTCjGS8ZG6idGaXbEGML9rsMwfLDjBzMyJmZAd74Wf8b_VIxAFszIPTNf0Hvon-YYA</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Brogly, Susan B</creator><creator>Hernández-Diaz, Sonia</creator><creator>Regan, Emily</creator><creator>Fadli, Ela</creator><creator>Hahn, Kristen A</creator><creator>Werler, Martha M</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7T2</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180601</creationdate><title>Neonatal Outcomes in a Medicaid Population With Opioid Dependence</title><author>Brogly, Susan B ; Hernández-Diaz, Sonia ; Regan, Emily ; Fadli, Ela ; Hahn, Kristen A ; Werler, Martha M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-d8038c7a9bf58d277fb89fb99d6cf8e6f0f2f84a6fe2c2b4db9d07da9d1ff9ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bias</topic><topic>Birth weight</topic><topic>Buprenorphine</topic><topic>Confidence intervals</topic><topic>Confounding (Statistics)</topic><topic>Dependence</topic><topic>Drug dependence</topic><topic>Drug withdrawal</topic><topic>Editor's Choice</topic><topic>Exposure</topic><topic>Gestational age</topic><topic>Government programs</topic><topic>Health risk assessment</topic><topic>Infants</topic><topic>Low birth weight</topic><topic>Medicaid</topic><topic>Methadone</topic><topic>Narcotics</topic><topic>Neonates</topic><topic>Newborn babies</topic><topic>Opioids</topic><topic>Original Contributions</topic><topic>Pregnancy</topic><topic>Premature birth</topic><topic>Prenatal experience</topic><topic>Prenatal exposure</topic><topic>Risk analysis</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brogly, Susan B</creatorcontrib><creatorcontrib>Hernández-Diaz, Sonia</creatorcontrib><creatorcontrib>Regan, Emily</creatorcontrib><creatorcontrib>Fadli, Ela</creatorcontrib><creatorcontrib>Hahn, Kristen A</creatorcontrib><creatorcontrib>Werler, Martha M</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium &amp; 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We used Massachusetts Medicaid Analytic eXtract (MAX) data to identify a cohort of opioid-dependent mother-infant pairs (2006–2011), supplemented with confounder data from an external Boston, Massachusetts, cohort (2015–2016). Associations between prenatal buprenorphine exposure versus methadone exposure and infant outcomes in the MAX cohort were adjusted for measured MAX confounders and were additionally adjusted for unmeasured confounders with bias analysis using external cohort data. A total of 477 women in MAX were treated with methadone and 543 with buprenorphine. More buprenorphine users than methadone users were white and used psychotropic medications. After adjustment for MAX confounders, risk ratios among infants exposed to buprenorphine versus those exposed to methadone were 0.45 (95% confidence interval (CI): 0.34, 0.61) for preterm birth (birth at &lt;37 weeks) and 0.75 (95% CI: 0.51, 1.11) for low birth weight for gestational age. The mean difference in infant hospitalization was −7.35 days (95% CI: −9.16, −5.55). After further adjustment with bias analysis, the risk ratios were 0.53 (95% CI: 0.39, 0.71) for preterm birth and 1.14 (95% CI: 0.77, 1.69) for low birth weight for gestational age, and the mean difference in infant hospitalization was −3.66 days (95% CI: −5.46, −1.87). External confounder data can be used to adjust for unmeasured confounding in studies of prenatal outcomes among women on opioid agonist therapy based on administrative databases.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>29155919</pmid><doi>10.1093/aje/kwx341</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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source Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Bias
Birth weight
Buprenorphine
Confidence intervals
Confounding (Statistics)
Dependence
Drug dependence
Drug withdrawal
Editor's Choice
Exposure
Gestational age
Government programs
Health risk assessment
Infants
Low birth weight
Medicaid
Methadone
Narcotics
Neonates
Newborn babies
Opioids
Original Contributions
Pregnancy
Premature birth
Prenatal experience
Prenatal exposure
Risk analysis
Weight
title Neonatal Outcomes in a Medicaid Population With Opioid Dependence
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