The study evaluated the completeness of the information contained in the records of Hyperday of a Basic Unit of Health (UBS) in Pelotas, Rio Grande do Sul, Brazil. Transversal delineation was used through the collection of secondary data. The copies of 567 records filled out in UBS from 2002 to 2008 were analyzed. The data were registered as "filled out" and "no filled out" in a precodified questionnaire. Among the data of obligatory completion, the largest incompleteness percentages were in the identification fields, detaching the number of the national card of health (95,6%), the zip code (47,2%) and the federal unit of birth (27,3%). Among the data of optional completion, 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 possesses a good completion in most of the analyzed variables.
Information systems; Primary health care; Diabetes Mellitus; Hypertension
