991 resultados para Icd-10


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A representative sample (n = 10 641) of Australian adults completed a structured diagnostic interview assessing the prevalence of mental and substance use disorders in the last year. The prevalence of DSM-IV (1.5%) and ICD-10 (1.7%) cannabis dependence was similar. DSM-IV and ICD-10 dependence criteria comprised unidimensional syndromes. The most common symptoms among dependent and non-dependent users were difficulties with controlling use and withdrawal, although there were marked differences in symptom prevalence. Dependent users reported a median of four symptoms. There was good to excellent diagnostic concordance (kappas = 0.7-0.9) between systems for dependence but not for abuse/harmful use (Y = 0.4). These findings provide some support for the validity of cannabis dependence. (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.

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BACKGROUND: Pharmacy-based case mix measures are an alternative source of information to the relatively scarce outpatient diagnoses data. But most published tools use national drug nomenclatures and offer no head-to-head comparisons between drugs-related and diagnoses-based categories. The objective of the study was to test the accuracy of drugs-based morbidity groups derived from the World Health Organization Anatomical Therapeutic Chemical Classification of drugs by checking them against diagnoses-based groups. METHODS: We compared drugs-based categories with their diagnoses-based analogues using anonymous data on 108,915 individuals insured with one of four companies. They were followed throughout 2005 and 2006 and hospitalized at least once during this period. The agreement between the two approaches was measured by weighted kappa coefficients. The reproducibility of the drugs-based morbidity measure over the 2 years was assessed for all enrollees. RESULTS: Eighty percent used a drug associated with at least one of the 60 morbidity categories derived from drugs dispensation. After accounting for inpatient under-coding, fifteen conditions agreed sufficiently with their diagnoses-based counterparts to be considered alternative strategies to diagnoses. In addition, they exhibited good reproducibility and allowed prevalence estimates in accordance with national estimates. For 22 conditions, drugs-based information identified accurately a subset of the population defined by diagnoses. CONCLUSIONS: Most categories provide insurers with health status information that could be exploited for healthcare expenditure prediction or ambulatory cost control, especially when ambulatory diagnoses are not available. However, due to insufficient concordance with their diagnoses-based analogues, their use for morbidity indicators is limited.

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Objective: The Agency for Healthcare Research and Quality (AHRQ) developed Patient Safety Indicators (PSIs) for use with ICD-9-CM data. Many countries have adopted ICD-10 for coding hospital diagnoses. We conducted this study to develop an internationally harmonized ICD-10 coding algorithm for the AHRQ PSIs. Methods: The AHRQ PSI Version 2.1 has been translated into ICD-10-AM (Australian Modification), and PSI Version 3.0a has been independently translated into ICD-10-GM (German Modification). We converted these two country-specific coding algorithms into ICD-10-WHO (World Health Organization version) and combined them to form one master list. Members of an international expert panel-including physicians, professional medical coders, disease classification specialists, health services researchers, epidemiologists, and users of the PSI-independently evaluated this master list and rated each code as either "include," "exclude," or "uncertain," following the AHRQ PSI definitions. After summarizing the independent rating results, we held a face-to-face meeting to discuss codes for which there was no unanimous consensus and newly proposed codes. A modified Delphi method was employed to generate a final ICD-10 WHO coding list. Results: Of 20 PSIs, 15 that were based mainly on diagnosis codes were selected for translation. At the meeting, panelists discussed 794 codes for which consensus had not been achieved and 2,541 additional codes that were proposed by individual panelists for consideration prior to the meeting. Three documents were generated: a PSI ICD-10-WHO version-coding list, a list of issues for consideration on certain AHRQ PSIs and ICD-9-CM codes, and a recommendation to WHO to improve specification of some disease classifications. Conclusion: An ICD-10-WHO PSI coding list has been developed and structured in a manner similar to the AHRQ manual. Although face validity of the list has been ensured through a rigorous expert panel assessment, its true validity and applicability should be assessed internationally.

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BACKGROUND: In the United States, the Agency for Healthcare Research and Quality (AHRQ) has developed 20 Patient Safety Indicators (PSIs) to measure the occurrence of hospital adverse events from medico-administrative data coded according to the ninth revision of the international classification of disease (ICD-9-CM). The adaptation of these PSIs to the WHO version of ICD-10 was carried out by an international consortium. METHODS: Two independent teams transcoded ICD-9-CM diagnosis codes proposed by the AHRQ into ICD-10-WHO. Using a Delphi process, experts from six countries evaluated each code independently, stating whether it was "included", "excluded" or "uncertain". During a two-day meeting, the experts then discussed the codes that had not obtained a consensus, and the additional codes proposed. RESULTS: Fifteen PSIs were adapted. Among the 2569 proposed diagnosis codes, 1775 were unanimously adopted straightaway. The 794 remaining codes and 2541 additional codes were discussed. Three documents were prepared: (1) a list of ICD-10-WHO codes for the 15 adapted PSIs; (2) recommendations to the AHRQ for the improvement of the nosological frame and the coding of PSI with ICD-9-CM; (3) recommendations to the WHO to improve ICD-10. CONCLUSIONS: This work allows international comparisons of PSIs among the countries using ICD-10. Nevertheless, these PSIs must still be evaluated further before being broadly used.

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BACKGROUND: Co-morbidity information derived from administrative data needs to be validated to allow its regular use. We assessed evolution in the accuracy of coding for Charlson and Elixhauser co-morbidities at three time points over a 5-year period, following the introduction of the International Classification of Diseases, 10th Revision (ICD-10), coding of hospital discharges.METHODS: Cross-sectional time trend evaluation study of coding accuracy using hospital chart data of 3'499 randomly selected patients who were discharged in 1999, 2001 and 2003, from two teaching and one non-teaching hospital in Switzerland. We measured sensitivity, positive predictive and Kappa values for agreement between administrative data coded with ICD-10 and chart data as the 'reference standard' for recording 36 co-morbidities.RESULTS: For the 17 the Charlson co-morbidities, the sensitivity - median (min-max) - was 36.5% (17.4-64.1) in 1999, 42.5% (22.2-64.6) in 2001 and 42.8% (8.4-75.6) in 2003. For the 29 Elixhauser co-morbidities, the sensitivity was 34.2% (1.9-64.1) in 1999, 38.6% (10.5-66.5) in 2001 and 41.6% (5.1-76.5) in 2003. Between 1999 and 2003, sensitivity estimates increased for 30 co-morbidities and decreased for 6 co-morbidities. The increase in sensitivities was statistically significant for six conditions and the decrease significant for one. Kappa values were increased for 29 co-morbidities and decreased for seven.CONCLUSIONS: Accuracy of administrative data in recording clinical conditions improved slightly between 1999 and 2003. These findings are of relevance to all jurisdictions introducing new coding systems, because they demonstrate a phenomenon of improved administrative data accuracy that may relate to a coding 'learning curve' with the new coding system.

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Disability, employment, and employment restrictions among persons with ICD-10 anxiety disorders were investigated at a population level in comparison to persons without disability or long-term health conditions. Data were provided by the Australian Bureau of Statistics (ABS) collected in a 1998 national survey. Multistage sampling obtained a probability sample of 37,580 individuals in the household component of the survey. Trained lay interviewers using ICD-10 computer-assisted interviews identified household residents with anxiety disorders. Details of employment restrictions are reported and discussed. The four most commonly reported restrictions were: restricted in the type of job (24.0%); need for a support person (23.3%); difficulty changing jobs (18.6%); and restricted in the number of hours (15.4%). The nature and extent of employment restrictions characterizing persons with anxiety disorders indicates a need for strengthened disability and health condition screening at application for Government income support and at gateways to public funded vocational assistance. (c) 2004 Elsevier Inc. All rights reserved.

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Focal points: ICD-10 codings and spontaneous yellow card reports for warfarin toxicity were compared retrospectively over a one-year period Eighteen cases of ICD-10 coded warfarin toxicity were identified from a total of 55,811 coded episodes More than three times as many ADRs to warfarin were found by screening ICD-10 codes as were reported spontaneously using the yellow card scheme Valuable information is being lost to regulatory authorities and as recognised reporters to the yellow card scheme, pharmacists are well placed to report these ADRs, enhancing their role in the safe and appropriate prescribing of warfarin

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This paper outlines the approach that the WHO's Family of International Classifications (WHO-FIC) network is undertaking to create ICD-11. We also outline the more focused work of the Quality and Safety Topic Advisory Group, whose activities include the following: (i) cataloguing existing ICD-9 and ICD-10 quality and safety indicators; (ii) reviewing ICD morbidity coding rules for main condition, diagnosis timing, numbers of diagnosis fields and diagnosis clustering; (iii) substantial restructuring of the health-care related injury concepts coded in the ICD-10 chapters 19/20, (iv) mapping of ICD-11 quality and safety concepts to the information model of the WHO's International Classification for Patient Safety and the AHRQ Common Formats; (v) the review of vertical chapter content in all chapters of the ICD-11 beta version and (vi) downstream field testing of ICD-11 prior to its official 2015 release. The transition from ICD-10 to ICD-11 promises to produce an enhanced classification that will have better potential to capture important concepts relevant to measuring health system safety and quality-an important use case for the classification.

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OBJETIVO: Comparar o uso das codificações da classificação de doenças e agravos em solicitações de afastamento do trabalho por motivo odontológico. MÉTODOS: Foram analisadas 240 solicitações emitidas em um serviço público federal entre janeiro de 2008 e dezembro de 2009. O uso da Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde - Décima Revisão (CID-10) foi comparado ao sistema de Classificação Internacional de Doenças em Odontologia e Estomatologia (CID-OE). Foi determinada a especificidade da codificação nas solicitações de afastamento, bem como da codificação atribuída por peritos oficiais em inspeções indiretas, perícias e juntas odontológicas. RESULTADOS: Do total de atestados, 22,9% não apresentaram a CID, 7,1% apresentaram a CID-9, 3,3% a CID-OE e 66,7% a CID-10. A maioria das codificações foi concordante (55,1%), com maior especificidade nas codificações atribuídas após avaliação dos cirurgiões-dentistas peritos oficiais. CONCLUSÕES: É necessário aperfeiçoar a utilização da CID-10 entre os profissionais de Odontologia e perícia odontológica no trabalho. Sugere-se a incorporação do uso da CID-OE e da Classificação Internacional de Funcionamento, Incapacidade e Saúde para a análise dos afastamentos do trabalho, fornecendo dados relevantes para o monitoramento do absenteísmo por motivo odontológico.

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O objetivo do estudo foi mensurar os gastos diretos do Sistema Único de Saúde (SUS) com internações por causas externas em São José dos Campos, São Paulo, Brasil. Foram estudadas as internações por lesões decorrentes de causas externas, respectivamente capítulos XIX e XX da CID-10, no primeiro semestre de 2003, no Hospital Municipal Dr. José de Carvalho Florence. Foram analisados os valores pagos através do SUS, após a verificação da qualidade dos dados nos prontuários de 976 internações. Os maiores gastos totais foram por internações decorrentes de acidentes de transporte e quedas. O maior gasto médio de internação foi por acidentes de transporte (R$ 614,63), seguido das agressões (R$ 594,90). As lesões que representaram maior gasto médio foram as fraturas de pescoço (R$ 1.191,42) e traumatismo intracraniano (R$ 1.000,44). As internações com maior custo-dia foram fraturas do crânio e dos ossos da face (R$ 166,72) e traumatismo intra-abdominal (R$ 148,26). Os resultados encontrados demonstraram que os acidentes de transporte, as quedas e as agressões são importantes fontes de gastos com internações por causas externas no município.