{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T11:16:19Z","timestamp":1790248579112,"version":"4.1.0"},"reference-count":26,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T00:00:00Z","timestamp":1621296000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Services Research"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To quantify discrepancies between opioid prescribing and dispensing via the percentage of patients with Electronic Medical Record (EMR) prescriptions who subsequently filled the prescription within 90\u2009days, defined as congruence, and compared opioid congruence with related medications.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data sources<\/jats:title><jats:p>Deidentified data from the IBM MarketScan Explorys Claims\u2010EMR Dataset.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study design<\/jats:title><jats:p>In this retrospective, observational study, we examined congruence for commonly prescribed controlled substances\u2014opioids, stimulants, and benzodiazepines. Congruence was stratified by age group and sex.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data collection\/extraction methods<\/jats:title><jats:p>Continuously enrolled adults aged 18\u201064\u2009years with an EMR encounter (excluding inpatient settings) and\u2009\u2265\u20091 prescription for selected classes between 1\/1\/2016 and 10\/2\/2017.<\/jats:p><\/jats:sec><jats:sec><jats:title>Principal findings<\/jats:title><jats:p>During the study period, 1,353,478 adults had \u22651 EMR encounter. Patients with stimulants prescriptions had the highest congruence (83%) corresponding to 7151 claims for 8,635 EMR prescriptions, followed by opioids (66%; 62,766\/95,690) and benzodiazepines (64%; 30,181\/47,408). Chi\u2010square testing showed congruence differed by age group within opioids (<jats:italic>P<\/jats:italic>\u00a0&lt;\u2009.0001) and benzodiazepines (<jats:italic>P<\/jats:italic>\u00a0&lt;\u2009.0001) and was higher among females within benzodiazepines (<jats:italic>P<\/jats:italic>\u00a0&lt;\u2009.0001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>These findings demonstrate that relying on claims data alone for opioid prescribing measures might underestimate actual prescribing magnitude by as much as one\u2010third in these data. Combined EMR and claims data can help future research better understand characteristics associated with congruence or incongruence between prescribing and dispensing.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1475-6773.13673","type":"journal-article","created":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T02:03:16Z","timestamp":1621389796000},"page":"1245-1251","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Congruence of opioid prescriptions and dispensing using electronic records and claims data"],"prefix":"10.1111","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0547-7214","authenticated-orcid":false,"given":"Nisha","family":"Nataraj","sequence":"first","affiliation":[{"name":"Division of Overdose Prevention, National Center for Injury Prevention and Control Centers for Disease Control and Prevention  Atlanta Georgia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Division of Overdose Prevention, National Center for Injury Prevention and Control Centers for Disease Control and Prevention  Atlanta Georgia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea E.","family":"Strahan","sequence":"additional","affiliation":[{"name":"Division of Overdose Prevention, National Center for Injury Prevention and Control Centers for Disease Control and Prevention  Atlanta Georgia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr","given":"Gery P.","family":"Guy","sequence":"additional","affiliation":[{"name":"Division of Overdose Prevention, National Center for Injury Prevention and Control Centers for Disease Control and Prevention  Atlanta Georgia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,5,18]]},"reference":[{"key":"e_1_2_8_2_1","first-page":"1","article-title":"Drug overdose deaths in the United States, 1999\u20102018","author":"Hedegaard H","year":"2020","journal-title":"NCHS Data Brief"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm6626a4"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2018.6989"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-018-4532-5"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2013.12711"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm6911a4"},{"key":"e_1_2_8_8_1","volume-title":"Data Sources and Data\u2010Linking Strategies to Support Research to Address the Opioid Crisis","author":"Smart R","year":"2018"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.4234"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000013110"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-010-1253-9"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.18553\/jmcp.2008.14.6.553"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1185\/03007990903550586"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.j760"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.drugalcdep.2012.07.004"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.drugalcdep.2019.02.033"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/add.14878"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.15288\/jsad.2018.79.799"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000116"},{"key":"e_1_2_8_20_1","unstructured":"RxNav. 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