Banca de DEFESA: DENISE GUERRA WINGERTER

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : DENISE GUERRA WINGERTER
DATA : 28/08/2019
HORA: 09:00
LOCAL: DEPARTAMENTO DE ODONTOLOGIA
TÍTULO:

 

ACURACY OF THE PROBABILISTIC RELATIONSHIP OF RECORDS IN THE IDENTIFICATION OF OBJECTS BY FALLS OF ELDERLY PERSONS IN THE STATE OF RIO GRANDE DO NORTE


PALAVRAS-CHAVES:

  Elderly, falls, information systems, mortality, hospitalization.


PÁGINAS: 136
GRANDE ÁREA: Ciências da Saúde
ÁREA: Saúde Coletiva
SUBÁREA: Epidemiologia
RESUMO:

The underreporting of deaths due to falls in the elderly has been commonly observed. In this regard, the probabilistic relationship of records has been increasingly used in the identification of subregistrations and for the improvement of information quality. The objective of this study was to evaluate the accuracy of the probabilistic relationship in the identification of deaths by falls individuals aged 60 and over in the State of Rio Grande do Norte, in the years 2010 and 2015. This is a Diagnostic study based on in the probabilistic relationship (linkage) of death records by falls reported to the Mortality Information System (SIM) and hospitalizations with falls information in the Hospital Intervention System (SIH) using RecLink software. In 2010 and 2015, a total of 23631 deaths were reported to the elderly, and 106 (0.45%) of them were caused by falls. In the same period, the SIH reported 3107 hospitalization procedures for the elderly with primary or secondary diagnosis of falls, of which, 163 died, a difference of 57 deaths. The method presented sensitivity of 99.9% in 2010, specificity of 74.7%, positive predictive value of 65.4%, negative predictive value of 99.9% and accuracy of 82.8%, in 2015 these values were, respectively, 99.8%, 83.8%, 62.6%, 99.9% and 87.2%. After linkage the specific mortality coefficient for fall was adjusted in 2010 from 15.9 to 65.2 / 1000.000hab, and in 2015 from 14.7 to 64.3, an increase of 308% and 333% respectively. These results suggest that the probabilistic relationship of registers is a valuable tool in the identification of under-registration in the systems. It is observed the need to qualify the morbidity and mortality data by falling in the elderly in the NB, so that the epidemiological picture can be closer to reality and that this data can serve as a basis for the design of strategies for health promotion and prevention of this aggravation.


MEMBROS DA BANCA:
Presidente - 2305247 - ISABELLE RIBEIRO BARBOSA MIRABAL
Interna - 2495705 - GRASIELA PIUVEZAM
Interno - 277398 - KENIO COSTA DE LIMA
Externo à Instituição - MARTA ROVERY DE SOUZA - UFG
Externo à Instituição - NEIR ANTUNES PAES - UFPB
Notícia cadastrada em: 10/07/2019 08:29
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