Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes
ABSTRACT Purpose Research on medication safety in pregnancy often utilizes health plan and birth certificate records. This study discusses methods used to link mothers with infants, a crucial step in such research. Methods We describe how eight sites participating in the Medication Exposure in Pregn...
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| Veröffentlicht in: | Pharmacoepidemiology and drug safety 2013-07, Vol.22 (7), p.776-782 |
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| creator | Johnson, Karin E. Beaton, Sarah J. Andrade, Susan E. Cheetham, T. Craig Scott, Pamela E. Hammad, Tarek A. Dashevsky, Inna Cooper, William O. Davis, Robert L. Pawloski, Pamala A. Raebel, Marsha A. Smith, David H. Toh, Sengwee Li, De-Kun Haffenreffer, Katherine Dublin, Sascha |
| description | ABSTRACT
Purpose
Research on medication safety in pregnancy often utilizes health plan and birth certificate records. This study discusses methods used to link mothers with infants, a crucial step in such research.
Methods
We describe how eight sites participating in the Medication Exposure in Pregnancy Risk Evaluation Program created linkages between deliveries, infants and birth certificates for the 2001–2007 birth cohorts. We describe linkage rates across sites, and for two sites, we compare the characteristics of populations linked using different methods.
Results
Of 299 260 deliveries, 256 563 (86%; range by site, 74–99%) could be linked to infants using a deterministic algorithm. At two sites, using birth certificate data to augment mother–infant linkage increased the representation of mothers who were Hispanic or non‐White, younger, Medicaid recipients, or had low educational level. A total of 236 460 (92%; range by site, 82–100%) deliveries could be linked to a birth certificate.
Conclusions
Tailored approaches enabled linking most deliveries to infants and to birth certificates, even when data systems differed. The methods used may affect the composition of the population identified. Linkages established with such methods can support sound pharmacoepidemiology studies of maternal drug exposure outside the context of a formal registry. Copyright © 2013 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/pds.3443 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3707923</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3054821591</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5063-5923a8c5a42d2c3289bd9d79eb8453f02fe454be2d4b8d42114d15fe21a2c9713</originalsourceid><addsrcrecordid>eNp1kV-L1DAUxYMo7roKfgIJiOBL1_xtmhdBVl3FHRVUhH0JaZNMs9tJapKq8-3t7NRRH3xK4Pw45957AHiI0SlGiDwbTT6ljNFb4BgjKSvMubi9-3NaNbyWR-BezlcIzZpkd8ERoVzWSPJjoFa29NFkGB0cfLj2YQ03sfQ2ZaiDgT44HUqGU94pvdVD6eE46ACNLhq6mGAuk_H2xmFMdh106LYwTqWLG5vvgztOD9k-WN4T8OX1q89nb6qLD-dvz15cVB1HNa24JFQ3HdeMGNJR0sjWSCOkbRvGqUPEWcZZa4lhbWMYwZgZzJ0lWJNOCkxPwPO97zi1G2s6G0rSgxqT3-i0VVF79a8SfK_W8buiAok5fDZ4vBik-G2yuairOKUwz6wwI6IRhMpmpp7uqS7FnJN1hwSM1K4KNVehdlXM6KO_JzqAv28_A08WQOdODy7Nh_P5Dyd4LcjNatWe--EHu_1voPr48tMSvPA-F_vzwOt0rWpBBVdf35-rdzW5lPXqUq3oL4Tcr_E</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1427872398</pqid></control><display><type>article</type><title>Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Johnson, Karin E. ; Beaton, Sarah J. ; Andrade, Susan E. ; Cheetham, T. Craig ; Scott, Pamela E. ; Hammad, Tarek A. ; Dashevsky, Inna ; Cooper, William O. ; Davis, Robert L. ; Pawloski, Pamala A. ; Raebel, Marsha A. ; Smith, David H. ; Toh, Sengwee ; Li, De-Kun ; Haffenreffer, Katherine ; Dublin, Sascha</creator><creatorcontrib>Johnson, Karin E. ; Beaton, Sarah J. ; Andrade, Susan E. ; Cheetham, T. Craig ; Scott, Pamela E. ; Hammad, Tarek A. ; Dashevsky, Inna ; Cooper, William O. ; Davis, Robert L. ; Pawloski, Pamala A. ; Raebel, Marsha A. ; Smith, David H. ; Toh, Sengwee ; Li, De-Kun ; Haffenreffer, Katherine ; Dublin, Sascha</creatorcontrib><description>ABSTRACT
Purpose
Research on medication safety in pregnancy often utilizes health plan and birth certificate records. This study discusses methods used to link mothers with infants, a crucial step in such research.
Methods
We describe how eight sites participating in the Medication Exposure in Pregnancy Risk Evaluation Program created linkages between deliveries, infants and birth certificates for the 2001–2007 birth cohorts. We describe linkage rates across sites, and for two sites, we compare the characteristics of populations linked using different methods.
Results
Of 299 260 deliveries, 256 563 (86%; range by site, 74–99%) could be linked to infants using a deterministic algorithm. At two sites, using birth certificate data to augment mother–infant linkage increased the representation of mothers who were Hispanic or non‐White, younger, Medicaid recipients, or had low educational level. A total of 236 460 (92%; range by site, 82–100%) deliveries could be linked to a birth certificate.
Conclusions
Tailored approaches enabled linking most deliveries to infants and to birth certificates, even when data systems differed. The methods used may affect the composition of the population identified. Linkages established with such methods can support sound pharmacoepidemiology studies of maternal drug exposure outside the context of a formal registry. Copyright © 2013 John Wiley & Sons, Ltd.</description><identifier>ISSN: 1053-8569</identifier><identifier>EISSN: 1099-1557</identifier><identifier>DOI: 10.1002/pds.3443</identifier><identifier>PMID: 23596095</identifier><identifier>CODEN: PDSAEA</identifier><language>eng</language><publisher>Chichester: Blackwell Publishing Ltd</publisher><subject>Adolescent ; Adult ; Adverse Drug Reaction Reporting Systems ; Algorithms ; Biological and medical sciences ; Birth Certificates ; Chi-Square Distribution ; Clinical trial. Drug monitoring ; Continental Population Groups ; Data Mining ; Databases, Factual - statistics & numerical data ; Drug Prescriptions ; Drug Utilization Review ; Ethnic Groups ; Female ; General pharmacology ; Health Services Research ; Humans ; Infant, Newborn ; Medicaid ; Medical Record Linkage ; Medical Records Systems, Computerized - statistics & numerical data ; Medical sciences ; Perinatal Care - economics ; Perinatal Care - statistics & numerical data ; pharmacoepidemiology ; Pharmacology. Drug treatments ; Pregnancy ; Pregnancy Outcome - economics ; Pregnancy Outcome - ethnology ; pregnancy outcome/epidemiology ; Socioeconomic Factors ; United States - epidemiology ; Young Adult</subject><ispartof>Pharmacoepidemiology and drug safety, 2013-07, Vol.22 (7), p.776-782</ispartof><rights>Copyright © 2013 John Wiley & Sons, Ltd.</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5063-5923a8c5a42d2c3289bd9d79eb8453f02fe454be2d4b8d42114d15fe21a2c9713</citedby><cites>FETCH-LOGICAL-c5063-5923a8c5a42d2c3289bd9d79eb8453f02fe454be2d4b8d42114d15fe21a2c9713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fpds.3443$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fpds.3443$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27567271$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23596095$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Johnson, Karin E.</creatorcontrib><creatorcontrib>Beaton, Sarah J.</creatorcontrib><creatorcontrib>Andrade, Susan E.</creatorcontrib><creatorcontrib>Cheetham, T. Craig</creatorcontrib><creatorcontrib>Scott, Pamela E.</creatorcontrib><creatorcontrib>Hammad, Tarek A.</creatorcontrib><creatorcontrib>Dashevsky, Inna</creatorcontrib><creatorcontrib>Cooper, William O.</creatorcontrib><creatorcontrib>Davis, Robert L.</creatorcontrib><creatorcontrib>Pawloski, Pamala A.</creatorcontrib><creatorcontrib>Raebel, Marsha A.</creatorcontrib><creatorcontrib>Smith, David H.</creatorcontrib><creatorcontrib>Toh, Sengwee</creatorcontrib><creatorcontrib>Li, De-Kun</creatorcontrib><creatorcontrib>Haffenreffer, Katherine</creatorcontrib><creatorcontrib>Dublin, Sascha</creatorcontrib><title>Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes</title><title>Pharmacoepidemiology and drug safety</title><addtitle>Pharmacoepidemiol Drug Saf</addtitle><description>ABSTRACT
Purpose
Research on medication safety in pregnancy often utilizes health plan and birth certificate records. This study discusses methods used to link mothers with infants, a crucial step in such research.
Methods
We describe how eight sites participating in the Medication Exposure in Pregnancy Risk Evaluation Program created linkages between deliveries, infants and birth certificates for the 2001–2007 birth cohorts. We describe linkage rates across sites, and for two sites, we compare the characteristics of populations linked using different methods.
Results
Of 299 260 deliveries, 256 563 (86%; range by site, 74–99%) could be linked to infants using a deterministic algorithm. At two sites, using birth certificate data to augment mother–infant linkage increased the representation of mothers who were Hispanic or non‐White, younger, Medicaid recipients, or had low educational level. A total of 236 460 (92%; range by site, 82–100%) deliveries could be linked to a birth certificate.
Conclusions
Tailored approaches enabled linking most deliveries to infants and to birth certificates, even when data systems differed. The methods used may affect the composition of the population identified. Linkages established with such methods can support sound pharmacoepidemiology studies of maternal drug exposure outside the context of a formal registry. Copyright © 2013 John Wiley & Sons, Ltd.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adverse Drug Reaction Reporting Systems</subject><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Birth Certificates</subject><subject>Chi-Square Distribution</subject><subject>Clinical trial. Drug monitoring</subject><subject>Continental Population Groups</subject><subject>Data Mining</subject><subject>Databases, Factual - statistics & numerical data</subject><subject>Drug Prescriptions</subject><subject>Drug Utilization Review</subject><subject>Ethnic Groups</subject><subject>Female</subject><subject>General pharmacology</subject><subject>Health Services Research</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Medicaid</subject><subject>Medical Record Linkage</subject><subject>Medical Records Systems, Computerized - statistics & numerical data</subject><subject>Medical sciences</subject><subject>Perinatal Care - economics</subject><subject>Perinatal Care - statistics & numerical data</subject><subject>pharmacoepidemiology</subject><subject>Pharmacology. Drug treatments</subject><subject>Pregnancy</subject><subject>Pregnancy Outcome - economics</subject><subject>Pregnancy Outcome - ethnology</subject><subject>pregnancy outcome/epidemiology</subject><subject>Socioeconomic Factors</subject><subject>United States - epidemiology</subject><subject>Young Adult</subject><issn>1053-8569</issn><issn>1099-1557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kV-L1DAUxYMo7roKfgIJiOBL1_xtmhdBVl3FHRVUhH0JaZNMs9tJapKq8-3t7NRRH3xK4Pw45957AHiI0SlGiDwbTT6ljNFb4BgjKSvMubi9-3NaNbyWR-BezlcIzZpkd8ERoVzWSPJjoFa29NFkGB0cfLj2YQ03sfQ2ZaiDgT44HUqGU94pvdVD6eE46ACNLhq6mGAuk_H2xmFMdh106LYwTqWLG5vvgztOD9k-WN4T8OX1q89nb6qLD-dvz15cVB1HNa24JFQ3HdeMGNJR0sjWSCOkbRvGqUPEWcZZa4lhbWMYwZgZzJ0lWJNOCkxPwPO97zi1G2s6G0rSgxqT3-i0VVF79a8SfK_W8buiAok5fDZ4vBik-G2yuairOKUwz6wwI6IRhMpmpp7uqS7FnJN1hwSM1K4KNVehdlXM6KO_JzqAv28_A08WQOdODy7Nh_P5Dyd4LcjNatWe--EHu_1voPr48tMSvPA-F_vzwOt0rWpBBVdf35-rdzW5lPXqUq3oL4Tcr_E</recordid><startdate>201307</startdate><enddate>201307</enddate><creator>Johnson, Karin E.</creator><creator>Beaton, Sarah J.</creator><creator>Andrade, Susan E.</creator><creator>Cheetham, T. Craig</creator><creator>Scott, Pamela E.</creator><creator>Hammad, Tarek A.</creator><creator>Dashevsky, Inna</creator><creator>Cooper, William O.</creator><creator>Davis, Robert L.</creator><creator>Pawloski, Pamala A.</creator><creator>Raebel, Marsha A.</creator><creator>Smith, David H.</creator><creator>Toh, Sengwee</creator><creator>Li, De-Kun</creator><creator>Haffenreffer, Katherine</creator><creator>Dublin, Sascha</creator><general>Blackwell Publishing Ltd</general><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</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>7TK</scope><scope>K9.</scope><scope>5PM</scope></search><sort><creationdate>201307</creationdate><title>Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes</title><author>Johnson, Karin E. ; Beaton, Sarah J. ; Andrade, Susan E. ; Cheetham, T. Craig ; Scott, Pamela E. ; Hammad, Tarek A. ; Dashevsky, Inna ; Cooper, William O. ; Davis, Robert L. ; Pawloski, Pamala A. ; Raebel, Marsha A. ; Smith, David H. ; Toh, Sengwee ; Li, De-Kun ; Haffenreffer, Katherine ; Dublin, Sascha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5063-5923a8c5a42d2c3289bd9d79eb8453f02fe454be2d4b8d42114d15fe21a2c9713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adverse Drug Reaction Reporting Systems</topic><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Birth Certificates</topic><topic>Chi-Square Distribution</topic><topic>Clinical trial. Drug monitoring</topic><topic>Continental Population Groups</topic><topic>Data Mining</topic><topic>Databases, Factual - statistics & numerical data</topic><topic>Drug Prescriptions</topic><topic>Drug Utilization Review</topic><topic>Ethnic Groups</topic><topic>Female</topic><topic>General pharmacology</topic><topic>Health Services Research</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Medicaid</topic><topic>Medical Record Linkage</topic><topic>Medical Records Systems, Computerized - statistics & numerical data</topic><topic>Medical sciences</topic><topic>Perinatal Care - economics</topic><topic>Perinatal Care - statistics & numerical data</topic><topic>pharmacoepidemiology</topic><topic>Pharmacology. Drug treatments</topic><topic>Pregnancy</topic><topic>Pregnancy Outcome - economics</topic><topic>Pregnancy Outcome - ethnology</topic><topic>pregnancy outcome/epidemiology</topic><topic>Socioeconomic Factors</topic><topic>United States - epidemiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Johnson, Karin E.</creatorcontrib><creatorcontrib>Beaton, Sarah J.</creatorcontrib><creatorcontrib>Andrade, Susan E.</creatorcontrib><creatorcontrib>Cheetham, T. Craig</creatorcontrib><creatorcontrib>Scott, Pamela E.</creatorcontrib><creatorcontrib>Hammad, Tarek A.</creatorcontrib><creatorcontrib>Dashevsky, Inna</creatorcontrib><creatorcontrib>Cooper, William O.</creatorcontrib><creatorcontrib>Davis, Robert L.</creatorcontrib><creatorcontrib>Pawloski, Pamala A.</creatorcontrib><creatorcontrib>Raebel, Marsha A.</creatorcontrib><creatorcontrib>Smith, David H.</creatorcontrib><creatorcontrib>Toh, Sengwee</creatorcontrib><creatorcontrib>Li, De-Kun</creatorcontrib><creatorcontrib>Haffenreffer, Katherine</creatorcontrib><creatorcontrib>Dublin, Sascha</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Pharmacoepidemiology and drug safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Johnson, Karin E.</au><au>Beaton, Sarah J.</au><au>Andrade, Susan E.</au><au>Cheetham, T. Craig</au><au>Scott, Pamela E.</au><au>Hammad, Tarek A.</au><au>Dashevsky, Inna</au><au>Cooper, William O.</au><au>Davis, Robert L.</au><au>Pawloski, Pamala A.</au><au>Raebel, Marsha A.</au><au>Smith, David H.</au><au>Toh, Sengwee</au><au>Li, De-Kun</au><au>Haffenreffer, Katherine</au><au>Dublin, Sascha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes</atitle><jtitle>Pharmacoepidemiology and drug safety</jtitle><addtitle>Pharmacoepidemiol Drug Saf</addtitle><date>2013-07</date><risdate>2013</risdate><volume>22</volume><issue>7</issue><spage>776</spage><epage>782</epage><pages>776-782</pages><issn>1053-8569</issn><eissn>1099-1557</eissn><coden>PDSAEA</coden><abstract>ABSTRACT
Purpose
Research on medication safety in pregnancy often utilizes health plan and birth certificate records. This study discusses methods used to link mothers with infants, a crucial step in such research.
Methods
We describe how eight sites participating in the Medication Exposure in Pregnancy Risk Evaluation Program created linkages between deliveries, infants and birth certificates for the 2001–2007 birth cohorts. We describe linkage rates across sites, and for two sites, we compare the characteristics of populations linked using different methods.
Results
Of 299 260 deliveries, 256 563 (86%; range by site, 74–99%) could be linked to infants using a deterministic algorithm. At two sites, using birth certificate data to augment mother–infant linkage increased the representation of mothers who were Hispanic or non‐White, younger, Medicaid recipients, or had low educational level. A total of 236 460 (92%; range by site, 82–100%) deliveries could be linked to a birth certificate.
Conclusions
Tailored approaches enabled linking most deliveries to infants and to birth certificates, even when data systems differed. The methods used may affect the composition of the population identified. Linkages established with such methods can support sound pharmacoepidemiology studies of maternal drug exposure outside the context of a formal registry. Copyright © 2013 John Wiley & Sons, Ltd.</abstract><cop>Chichester</cop><pub>Blackwell Publishing Ltd</pub><pmid>23596095</pmid><doi>10.1002/pds.3443</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Adolescent Adult Adverse Drug Reaction Reporting Systems Algorithms Biological and medical sciences Birth Certificates Chi-Square Distribution Clinical trial. Drug monitoring Continental Population Groups Data Mining Databases, Factual - statistics & numerical data Drug Prescriptions Drug Utilization Review Ethnic Groups Female General pharmacology Health Services Research Humans Infant, Newborn Medicaid Medical Record Linkage Medical Records Systems, Computerized - statistics & numerical data Medical sciences Perinatal Care - economics Perinatal Care - statistics & numerical data pharmacoepidemiology Pharmacology. Drug treatments Pregnancy Pregnancy Outcome - economics Pregnancy Outcome - ethnology pregnancy outcome/epidemiology Socioeconomic Factors United States - epidemiology Young Adult |
| title | Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes |
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