The study evaluated the completeness of the information in the records of the Hyperday of a Basic Unit of Health (BUH) in Pelotas, Rio Grande do Sul, Brazil. Transversal delineation was used through the collection of secondary data. Copies of 567 records filled out in BUH between 2002 and 2008 were analyzed. Data were classified as "filled out" and "no filled out" in a precodified questionnaire. Among data of obligatory completion, the largest percentages of incompleteness observed were in the identification field, particularly numbers of the national health card (95.6%), zip code (47,2%) and federal unit of birth (27.3%). Among the data of optional completion, the largest gaps were identified in the fields of no medicamental treatment (97.0%) and capillary glycemia (56.7%). In relation to the fields of clinical data, all of them had low incompleteness. The results demonstrate that the SisHyperday in study has a good completion in most part of the analyzed variables.
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http://dx.doi.org/10.1590/s1983-14472010000200006 | DOI Listing |
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