There are different interests associated with the filling out of data in information systems, but all of them can cause quality problems that require adaptation, so that it can be used in scientific studies or surveillance programs 3 , 4. The fields "procedure concluded" and "main diagnosis" were analyzed; in the first case, the validity deficit was considered when the filled out data consisted of procedure codes without specification, that is, those with only the first 6 digits filled out from a total of 10; in this case, it is not possible to identify the procedure effectively. The coverage of CNES can be considered as satisfactory, based on the information of AMS, study with great scientific acknowledgment 11 , 12 , How to cite this article. The use of secondary databases for the development of studies about health services has been more frequent, especially when it comes to studies that assess the quality of hospital care 1 , 2. In Brazil, ordinance no. In most regions, it was also possible to observe similarities regarding the distribution of the number of public or private hospitals and connection with SUS. 
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- CIHA - CIHA Datasus
However, it seems to be inevitable to invest in the quality of the databases and in the qualification of services and professionals working with the record of information, in a context management innovation including, among other strategies, systems of payment by performance which demand more accurate information. The comparison between information from both sources indicated However, the possibility of the free acquisition of data and their registration via Internet indicates that these dimensions do not seem to have been neglected.
There are no conflicts of interests related to this study. Improvements in ddatasus are required to qualify the analysis and increase its potential use, contributing with strategic studies that support decision-making in the planning of hospitals and health care networks. The study universe includes all of the hospitalizations registered in the locations considered to be active in at least one year, from to In the second case, the proportion of poorly defined diagnoses was assessed, belonging to chapter XVIII of ICD "Abnormal symptoms, signals and findings of clinical and laboratory tests, not classified elsewhere.
Ciiha is a known fact that this action depends on financial investments, hiring, and training of human resources. The importance of this national record for the investigation and auditing of services, physical structures, and human resources had been mentioned by Nascimento The coverage of CNES can be considered as satisfactory, based on the information of AMS, study with great scientific acknowledgment 1112 About SUS and non-SUS hospitalizations, Moreira and Novaes 17 identified problems as to the validity in the field "main diagnosis," even more than those found ciba this study.
In Brazil, ordinance no. In this sense, it is very important that the databases be dwtasus to show the main flaws to be corrected.
Defining and improving data quality in medical registries: On the other hand, the model of evaluation of secondary databases proposed by Sorensen et al. There are different interests associated with the filling out of data in information systems, but all of them can cause quality problems that require adaptation, so that it can be used in scientific studies or surveillance programs 34.
SIH records information about the hospitalizations that were financed by SUS in either public or private contracted hospitals. Viacava F, Bahia L.
J Am Med Inform Assoc ; 9 6: It is even more important that the results of these studies be incorporated by managers of the information systems. To deal with this problem, Arts et al. Specifically for information about not SUS, considering the number of beneficiaries younger than 1 year old, used to estimate the total number of births ANSapproximately thousand births would have occurred inindicating coverage of With relation to the fields of hospitalization regarding each hospitalization in SIH and CIH, despite the complete filling out of the field "main diagnosis" in both databases, in 6.
Therefore, CNES is a relevant source of information about the infrastructure of the National Health Service, especially because its information is not limited to the network that provides services to SUS. It is mandatory to send information via CIHA, since it provides concession and renovation of the Certificate of Charitable Organization for Social Assistance CEBAS ; renovation of the Sanitary Surveillance permit; and processing of any request to the Ministry of Health regarding arrangements, records, and exemption of importation taxes.
Databases in the next millennium.
In most regions, it was also possible to observe similarities regarding the distribution of the number of public or private hospitals and connection with SUS. Finally, the nonduplicity was not the focus of this study, but instead, in the analyses conducted, the idea was to control its effect by using identification keys with the numbers of CNES and CNPJ, besides the exclusion of hospitalization notifications by continuity.
Besides, the use of these databases in studies can be useful to improve the quality of care and information systems 7. Before that, Carvalho 15reporting to the implantation of CNES, had already indicated its pertinence, viability, and advantages. These results corroborate those presented by Moreira and Novaes 17pointing out to the need for efforts to improve this source of information, since Brazil still does not have a database that describes its entire hospital production.
Histórico / Apresentação
The analysis of the quality of CIH conducted in this study showed important flaws in its coverage, thus making it impossible to use it in a national level. Coverage of information about hospital deaths and births. Then, there was a unified terminology for all of the services addressed to patients with cina insurance plans. Being a part of SUS or not, the South and Southeast regions presented the largest coverages of mortality information, and the North region, the lowest coverage Table 5.
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