Literature DB >> 18711939

An evaluation of the Sinan health information system as used by the Hansen's disease control programme, Pernambuco State, Brazil.

Paulo Roberto Silva Galvão1, Andréa Torres Ferreira, Maria Das Graças Galvão Maciel, Rejane Pereira De Almeida, Duane Hinders, Pieter A M Schreuder, Lígia Regina S Kerr-Pontes.   

Abstract

BACKGROUND: Since the introduction of the national notifiable diseases information system (SINAN) in Pernambuco State, Brazil, in 1994, many problems have been encountered. The aim of this study was to evaluate the SINAN software, quality of data input, the transfer of the computerised data from the municipality to state levels, human resources and other factors associated with the health information system infrastructure (HIS).
METHODS: A cross-sectional study was carried out in Pernambuco state, North-eastern Brazil, in 2005. A sample of health regions and municipalities was chosen. SINAN forms from those municipalities were analysed and the flow of notifications followed from municipal level to the regional and finally to the state. Professionals from health units, district, municipal and regional Hansen's Disease Control Programme (HDCP) and Epidemiological Surveillance System (ESS) coordinators, health secretaries and managers of the municipalities and health regions selected were interviewed.
RESULTS: SINAN software is functioning up to expectation. However, at all levels of the health system, serious weaknesses not related to the SINAN software were found, varying from lack of human resources (limited number of staff and staff development), lack of infrastructure (office space, computers, supplies, etc.) to an absence of effective coordination, management and supervision of the HIS.
CONCLUSIONS: Lack of reliable, complete and timely information, and especially the lack of widespread analysis and use of available information in planning and management of health services were the main weaknesses found. Many areas need urgent attention: the quality of patient examination, recording and reporting, the timely processing of quality data, the coordination and management of disease control programmes, and the use of HIS reports by the health services and health managers. Regular feedback, supportive supervision visits and annual reviews are essential to monitor the system and make sure that essential information is decentralised and used by the primary health services and HDCP coordination. Assessing the quality of services from a client perspective would give additional information for the identification of strengths and weaknesses of the Hansen's disease (leprosy) services.

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Year:  2008        PMID: 18711939

Source DB:  PubMed          Journal:  Lepr Rev        ISSN: 0305-7518            Impact factor:   0.537


  7 in total

1.  Geographic information systems and applied spatial statistics are efficient tools to study Hansen's disease (leprosy) and to determine areas of greater risk of disease.

Authors:  José Wilton Queiroz; Gutemberg H Dias; Maurício Lisboa Nobre; Márcia C De Sousa Dias; Sérgio F Araújo; James D Barbosa; Pedro Bezerra da Trindade-Neto; Jenefer M Blackwell; Selma M B Jeronimo
Journal:  Am J Trop Med Hyg       Date:  2010-02       Impact factor: 2.345

2.  Interruption and defaulting of multidrug therapy against leprosy: population-based study in Brazil's Savannah Region.

Authors:  Jorg Heukelbach; Olga André Chichava; Alexcian Rodrigues de Oliveira; Kathrin Häfner; Friederike Walther; Carlos Henrique Morais de Alencar; Alberto Novaes Ramos; Adriana Cavalcante Ferreira; Liana Ariza
Journal:  PLoS Negl Trop Dis       Date:  2011-05-03

3.  Multibacillary leprosy by population groups in Brazil: Lessons from an observational study.

Authors:  Mauricio Lisboa Nobre; Ximena Illarramendi; Kathryn Margaret Dupnik; Mariana de Andrea Hacker; José Augusto da Costa Nery; Selma Maria Bezerra Jerônimo; Euzenir Nunes Sarno
Journal:  PLoS Negl Trop Dis       Date:  2017-02-13

4.  Socioeconomic determinants of leprosy new case detection in the 100 Million Brazilian Cohort: a population-based linkage study.

Authors:  Joilda Silva Nery; Anna Ramond; Julia Moreira Pescarini; André Alves; Agostino Strina; Maria Yury Ichihara; Maria Lucia Fernandes Penna; Liam Smeeth; Laura C Rodrigues; Mauricio L Barreto; Elizabeth B Brickley; Gerson Oliveira Penna
Journal:  Lancet Glob Health       Date:  2019-07-19       Impact factor: 26.763

5.  Spatial analysis of epidemiological and quality indicators of health services for leprosy in hyperendemic areas in Northeastern Brazil.

Authors:  Celivane Cavalcanti Barbosa; Cristine Vieira do Bonfim; Cintia Michele Gondim de Brito; Wayner Vieira de Souza; Marcella Fernandes de Oliveira Melo; Zulma Maria de Medeiros
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2020-11-27       Impact factor: 1.846

6.  Estimating underreporting of leprosy in Brazil using a Bayesian approach.

Authors:  Guilherme L de Oliveira; Juliane F Oliveira; Júlia M Pescarini; Roberto F S Andrade; Joilda S Nery; Maria Y Ichihara; Liam Smeeth; Elizabeth B Brickley; Maurício L Barreto; Gerson O Penna; Maria L F Penna; Mauro N Sanchez
Journal:  PLoS Negl Trop Dis       Date:  2021-08-25

7.  Evaluation of emerging infectious disease and the importance of SINAN for epidemiological surveillance of Venezuelans immigrants in Brazil.

Authors:  Mário Maciel de Lima Junior; Gabbrielle Almeida Rodrigues; Maysa Ruiz de Lima
Journal:  Braz J Infect Dis       Date:  2019-08-28       Impact factor: 3.257

  7 in total

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