Définir les troubles liés aux substances psychoactives à partir de données administratives Defining substance related disorders in administrative health databanks

Résumé

Les troubles liés aux substances psychoactives (TLS) sont associés à de nombreux problèmes sociosanitaires requérant divers services adaptés. Dans le but de déterminer la prévalence des TLS et leurs impacts sur l’utilisation des services dans le système de santé québécois, le Système intégré de surveillance des maladies chroniques du Québec développe actuellement des indicateurs permettant d’identifier les individus traités dans la province pour un TLS. Ces indicateurs serviront à étudier les caractéristiques des individus ayant un TLS, à évaluer l’excès de mortalité et les complications qui en résultent, à explorer l’impact des politiques ministérielles et à adapter l’offre de services en fonction de l’évolution temporelle des TLS. Or, la création de ces indicateurs se heurte à plusieurs défis. La Classification internationale des maladies est en décalage avec les connaissances et les réalités actuelles, ce qui ne permet pas de bien identifier les substances consommées par les individus en se basant sur les codes diagnostiques. Aussi, les TLS ne sont pas toujours explicitement nommés, mais implicitement évoqués par le biais d’autres diagnostics, notamment dans le cas de maladies physiques ou d’intoxications. De plus, la présence du bon code diagnostique dépend d’aspects administratifs. Cet article méthodologique présente les étapes et les réflexions qui ont mené au développement des indicateurs permettant d’identifier les individus ayant un TLS à partir de banques de données administratives.

Mots-clés :

• troubles liés aux substances psychoactives,
• drogues,
• alcool,
• toxicomanie,
• données administratives,
• surveillance,
• indicateurs,
• CIM

Abstract

Introduction Epidemiogical surveys in the general population can provide relevant information on substance use and substance-related disorders (SRD). However, because of time and resource constraints, this data is limited in its scope. Health administrative databanks consist of routinely collected data covering a large sample size, often representative of the general population. They allow for further longitudinal analyses of comorbidities patterns and health services utilization over decades in individuals with SRD. Developing algorithms to identify these individuals is crucial before being able to tap into these databanks.

Objective To present and to reflect on the methodological process leading to the creation of SRD case definitions in administrative health databanks.

Methods The Quebec Integrated Chronic Disease Surveillance System (QICDSS) contains five linked administrative health databanks that are updated annually and covers over 98% of the general population. Codes from the 9th and 10th revisions of the International Classification of Diseases (ICD-9 and ICD-10) were used to define individuals who have a SRD, according to diagnoses made by a physician. First, all ICD codes that could potentially define a SRD were identified through a literature review. Second, relevant codes were selected. Third, case definition algorithms were created by grouping codes that describe a similar concept. These three steps were performed by comparing our codes with previous propositions from other teams, and through group discussions with a committee of experts (one psychiatrist, two general practitioners, one emergency doctor, and two researchers).

Results Relevant ICD codes were found in specific chapters on SRD, but also in different sections concerning physical diseases that are induced by substance use or concerning poisoning and intoxication. In total, 89 ICD-9 codes and 197 ICD-10 codes were identified. From this list, codes that were almost never used in the QICDSS, codes that were almost never reported by other research teams, codes that were not specific to substance use, and codes related to tobacco use were all excluded. Codes were first categorized if they were related to alcohol or to another substance. No distinction could be made according to a specific substance, mainly because of imprecision surrounding ICD-9 coding. From this retained list, six case definitions were created: 1) alcohol use disorders (i.e. abuse or dependence); 2) drug use disorders; 3) alcohol induced disorders (i.e. withdrawal, induced psychotic disorders and other mental disorders, physical diseases 100% attributable to alcohol); 4) drug induced disorders; 5) alcohol intoxication; 6) drug intoxication.

Discussion and conclusion Although unanimous consensus by the expert committee had to be obtained during code selection and grouping to create these case definitions for SRD, further validation needs to be conducted to determine if these algorithms identify appropriately individuals with SRD. Once tested in other databanks using the ICD system, these case definitions can be used to perform analyses concerning prevalence and incidence, comorbidities patterns and health services utilization to obtain a more complete picture of SRD.

Keywords:

• substance-related disorders,
• drugs,
• alcohol,
• dependence,
• administrative data,
• surveillance,
• indicators,
• ICD