Confiabilidade de diagnósticos nos formulários de autorização de internação hospitalar

Mathias, Thaís Aidar de Freitas; Soboll, Maria Lúcia de M. S.

doi:10.1590/s0034-89101998000600005

Cited by 50 publications

(53 citation statements)

References 3 publications

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“…7,10 Limitations of the SIH with respect to information on the date and cause of death has been overcome using data from the Sistema de Informações de Mortalidade (SIM -Death Information System) through the identifi cation of deaths after hospital discharge and in longer follow-up periods or due to the improvement on the underlying cause-of-death data. 11 Due to the lack of a unique identifi er fi eld capable of uniting the records of the SIH and the SIM in a deterministic way, we cannot take advantage of the complementarity of the two systems.…”

Section: Introductionmentioning

confidence: 99%

Acurácia do relacionamento probabilístico na avaliação da alta complexidade em cardiologia

et al. 2011

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OBJECTIVE:To evaluate the viability of a probabilistic record linkage strategy to identify deaths of patients who underwent complex cardiology procedures among the total deceased population. METHODS:The processing cost was estimated based on 1,672 records of patients undergoing coronary artery bypass grafting that were compared with all death records in Brazil in 2005. The accuracy of the relationship was based on the probabilistic linkage of 99 hospital admissions records of patients, with known vital status, who underwent cardiac surgery at a single cardiology institute, with the death records of the state of Rio de Janeiro, Southeastern Brazil, in 2005. Linkage was conducted in four stages: standardizing the databases, blocking, matching, and rating peers. Blocking in fi ve steps was used, with blocking keys formed by a combination of variables such as soundex codes for the fi rst and last names, sex, and year of birth. The variables used for pairing were "full name" with the use of Levenshtein distance and "birth date". RESULTS:The second and fi fth blocking steps resulted in the largest number of formed pairs and the largest processing times for the matching. The fourth step required a lower processing cost. In the accuracy study, after fi ve blocking steps, the sensitivity of the linkage was 90.6%, and the specifi city was 100%. CONCLUSIONS:The probabilistic strategy used has high accuracy and can be used in studies of the effectiveness of high-complexity, high-cost cardiology procedures.

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Section: Introductionmentioning

confidence: 99%

Acurácia do relacionamento probabilístico na avaliação da alta complexidade em cardiologia

et al. 2011

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“…Tais informações são utilizadas na formulação e na avaliação de ações, planos e políticas de saúde, subsidiando o processo de tomada de decisões que podem contribuir e aprimorar a situação de saúde individual e coletiva 15 . Muitos estudos com metodologias distintas foram desenvolvidos no Brasil com o objetivo de qualificar e mensurar a confiabilidade das informações de mortalidade, bem como de outras bases de dados do Sistema Único de Saúde (SUS) 16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34 . 13 .…”

Section: Discussionunclassified

Confiabilidade da causa basica de obito por cancer entre Sistema de Informacoes sobre Mortalidade do Brasil e Registro de Cancer de Base Populacional de Goiania, Goias, Brasil

et al. 2014

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O presente estudo avaliou a confiabilidade das causas básicas de óbito por câncer por meio do relacionamento probabilístico entre Sistema de Informações sobre Mortalidade (SIM) e Registro de Câncer de Base Populacional (RCBP) de Goiânia, Goiás, Brasil, entre 2000 e 2005. Foi utilizado o RecLink III para o relacionamento e a confiabilidade foi avaliada pela utilização do coeficiente Kappa de Cohen e o ajustado por prevalência e viés discórdia marginal (prevalence- adjusted and bias-ajusted kappa – PABAK). Foram identificados 2.874 indivíduos no relacionamento para análise da confiabilidade. O kappa bruto variou de 0,336 a 0,846 e o ajustado por prevalência de 0,810 a 0,990 para os 14 grupos de neoplasias. Para os 35 principais cânceres, 12 (34,3%) deles apresentaram valores de kappa bruto abaixo de 0,600 e PABAK de 0,981. Entre as principais neoplasias comuns entre os sexos, a concordância bruta variou em 0,672 e 0,790; a ajustada entre 0,894 e 0,961. Foram reclassificadas 67% de câncer de localização mal definida no SIM com as informações do RCBP. Este estudo mostrou-se útil para a qualificação das estimativas de mortalidade por câncer em áreas cobertas por RCBP.

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“…A study conducted in Maringá in 1992 11 showed 202 hospitalizations due to injuries and poisoning in the hospital medical fi les, while the AIHs showed 173 (85.6%). In that investigation, there was also no concordance analysis regarding the circumstances of the event that caused the lesion or poisoning (external cause).…”

Section: Discussionmentioning

confidence: 99%

“…In the present study, it was not sought to analyze the specifi city of codes assigned (for example, the type of accident or the type of victim in transport accidents, or furthermore, the way in which a fall occurred), although the importance of these factors for surveillance of these events is recognized. 7 Concern regarding improvements to the quality of information on external causes of hospitalizations in Brazil is not recent, 9,11 and this fi eld of study is not limited to Brazilian researchers. 1,7,12,13 The Ministry of Health's decision to make it mandatory to insert a code for the external cause in the HIS-SUS database, for all hospitalizations due to injuries, poisoning or other consequences of accidents or violent events, is in keeping with the proposals from the Centers for Disease Control and Prevention (CDC) for improving the quality of information on these causes, in relation to hospitalizations in the United States.…”

Section: Discussionmentioning

confidence: 99%

Qualidade da informação sobre causas externas no Sistema de Informações Hospitalares

Tomimatsu¹,

Andrade²,

Soares³

et al. 2009

Rev. Saúde Pública

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OBJECTIVE:To analyze the coverage and quality of the data on hospitalizations due to external causes in the Hospital Information System of the Brazilian National Health System. METHODS:Hospitalizations recorded in the Hospital Information System of 11 hospitals in two municipalities (Londrina and Maringá, Southern Brazil), in 2004, were compared with hospitalizations identifi ed as consequences of external causes through investigating medical records, complemented with mortality and pre-hospital data. The crude agreement rate, sensitivity and positive predictive value were calculated. The profi le of groups of hospitalization causes recorded in the System was compared with that obtained from investigations. RESULTS:In Londrina, 3,002 hospitalizations due to external causes were recorded in the System and, in Maringá, 1,403. The investigations found 4,018 and 2,370, respectively. The System presented high positive predictive values for hospitalizations due to external causes in both municipalities: 97.7% in Londrina and 98.6% in Maringá. However, the sensitivity was low: 57.3% in Maringá and 73% in Londrina, thus denoting underrecording of these causes. Comparison between the profi les of the types of causes revealed that there was underestimation of some causes in the System, especially regarding accidents due to exposure to inanimate mechanical forces, assaults and intentional self-harm. CONCLUSIONS:Underrecording of hospitalizations due to external causes and some distortions regarding the types of causes occurred in the Hospital Information System in both municipalities. Detection of these defi ciencies may contribute towards the process of improving the quality of the information in this System.

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Confiabilidade de diagnósticos nos formulários de autorização de internação hospitalar

Cited by 50 publications

References 3 publications

Acurácia do relacionamento probabilístico na avaliação da alta complexidade em cardiologia

Acurácia do relacionamento probabilístico na avaliação da alta complexidade em cardiologia

Confiabilidade da causa basica de obito por cancer entre Sistema de Informacoes sobre Mortalidade do Brasil e Registro de Cancer de Base Populacional de Goiania, Goias, Brasil

Qualidade da informação sobre causas externas no Sistema de Informações Hospitalares

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