Evaluation of completeness and timeliness of data in the National Information System for Notifiable Diseases for spotted fever in the state of São Paulo, Brazil, 2007-2017

Abstract

Objective: To evaluate the completeness and timeliness of notifications of cases of spotted fever (SF) held on the Notifiable Health Conditions Information System (SINAN) in Sao Paulo State, Brazil, from 2007 to 2017. Methods: This was a descriptive and ecological study of confirmed human cases of SF regarding completeness and timeliness of ten fields of the notification form (good if ≥ 90% for most variables); time series analysis was performed using the Prais-Winsten technique. Results: We analyzed 736 records; among essential fields, only “Discharge date” showed poor completeness (68.5%). Timeliness was good for the “Investigation” and “Closure” fields; other time lapses were not adequate. Conclusion: In Sao Paulo state, data completeness was good for most variables, whereas timeliness was not adequate (except for “Closure” and “Investigation”), pointing to the need for health education and communication actions about SF.