2018
DOI: 10.1016/j.drugpo.2018.02.001
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Identifying injection drug use and estimating population size of people who inject drugs using healthcare administrative datasets

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Cited by 83 publications
(90 citation statements)
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“…The assessment of such risk factors as IDU and problematic alcohol use was based on diagnostic codes in administrative health-services databases. Our definitions were based on validations done previously;45 however, there could be some misclassification and underestimation of effect. Furthermore, some of the interactions could not be evaluated, because of smaller samples, eg, MSM and IDU.…”
Section: Discussionmentioning
confidence: 99%
“…The assessment of such risk factors as IDU and problematic alcohol use was based on diagnostic codes in administrative health-services databases. Our definitions were based on validations done previously;45 however, there could be some misclassification and underestimation of effect. Furthermore, some of the interactions could not be evaluated, because of smaller samples, eg, MSM and IDU.…”
Section: Discussionmentioning
confidence: 99%
“…We categorized HCV viral load into quartiles based on its distribution in the study population: Q1: <248 237 (IU/mL), Q2: 248 237‐962 052, Q3: 962 052‐2 589 909 and Q4: ≥2 589 909. Concurrent conditions including HIV or HBV co‐infections, diabetes, problematic alcohol use, injection drug use (IDU), major mental illness, cirrhosis, decompensated cirrhosis and the Elixhauser comorbidity index were also assessed . Assessment of these variables was based on algorithms derived from medical visits, hospitalization or prescription dispensation data using fee‐for‐service, procedure and/or diagnostic codes (Table ).…”
Section: Methodsmentioning
confidence: 99%
“…In BC, OST includes methadone and buprenorphine/naloxone and most OST dispensations are directly observed. IDU was defined according to a previously validated algorithm . Individuals with drug‐related diagnoses in the last three years prior to treatment were considered to be recent IDUs, and those with diagnoses more than three years prior were considered to be past IDUs.…”
Section: Methodsmentioning
confidence: 99%
“…Within on and off OAT groups, we further classified study participants as recent PWID, former PWID, and those not injecting drugs. PWID were identified based on an algorithm using fee‐for‐service, procedure, and/or diagnostic codes for medical visits, hospitalization, or prescription dispensation and validated in the BC‐HTC subset using interview‐based risk factor data . For this analysis, we used the IDU algorithm with optimal sensitivity (78%) and specificity (83%); this required two medical visits and one hospitalization .…”
Section: Participants and Methodsmentioning
confidence: 99%