Análise e proposta de gestão para a qualidade de informação do registro hospitalar de câncer do Hospital Universitário de Santa Maria – RS

Abstract

Introduction: Cancer in Brazil has become an effective public health problem, with the increase in the number of new cases per year. The World Health Organization recommends that, in order to fight cancer, actions to promote and strengthen national cancer control plans are put into practice; building international networks and partnerships; interventions for organized and evidence-based early detection. In Brazil, the Hospital Cancer Registry (RHC) network is led by INCA and the member hospitals submit their data annually. Objectives: To establish methods to ensure the quality of information from the identification of tumor cases as well as completeness and consistency of the data collected and sent by the RHC of the University Hospital of Santa Maria (HUSM). Materials and methods: A retrospective, exploratory study with a qualitative and quantitative approach was carried out on mandatory data that were consolidated and registered in the RHC of the HUSM in 2017, 2018 and 2019. The data were tabulated in Microsoft Excel Software and the Simple and cross-frequency analyzes were performed using the Software Statistical Analysis System (SAS). Results and discussion: The databases of three consecutive years, 2017, 2018 and 2019 were analyzed, totaling 4731 patients. The completeness analysis of 35 variables from the tumor record showed five items with bad incompleteness and two with very bad that were accurately analyzed. They were similar in terms of sex and age, and 100% completeness. Education showed an excellent degree of completeness, while occupation showed an average incompleteness of 47.22% (poor). For TNM, incompleteness was of very poor quality for the years 2017 (74.97%) and 2018 (65.55%) and poor quality in 2019 (47.06%); the staging had bad incompleteness, 34.78%, 48.63% and 34.58%, in the years 2017, 2018 and 2019 respectively. Family history, alcohol consumption and tobacco consumption evidence poor mean incompleteness of 36.08%, 31.26% and 20.78%, respectively. The TNM and staging items that are necessary parameters for both the therapeutic decision and the financial reimbursement for the institution. Environmental factors, cultural environment (lifestyle, and customs of life) and occupational environment, as well as hereditary, family and ethnic characteristics, are important to define clinical and preventive behaviors and guide actions in health education. Thus, excellent completeness or incompleteness of data is paramount for the purposes proposed by the RHC. Conclusion: To improve the quality of information in the HUSM's RHC, standard operating procedures and an action plan were formulated, using the 5W1H tool, to make the routines more effective and reliable both in the description and in the collection of data for filling out the form of the RHC. Thus, all RHC data can be used in full, contributing to research and decisions on surveillance, prevention, and protection at the regional and national levels.