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RESUMO - O Serviço Nacional de Saúde (SNS) tem como base os cuidados de saúde primários (CSP), cuja organização tem vindo a mudar gradualmente. Na última década, foram disponibilizados dados acerca da sua estrutura na plataforma “Bilhete de Identidade dos CSP” (BI-CSP). A colheita e análise destes dados possibilitará uma melhor compreensão da estrutura dos CSP e da sua evolução ao longo do tempo. Esta caracterização detalhada permitirá otimizar processos de gestão de recursos no futuro.
Com o objetivo de validar um mecanismo de criação de bases de dados dos CSP, por extração automatizada de dados abertos do BI-CSP, criou-se um instrumento de extração e organização dos dados de cada Unidade dos CSP. A validação foi feita por comparação com os dados disponíveis no portal da transparência do SNS/BI-CSP e incidiu sobre (i) número de unidades funcionais (UF), (ii) número e tipo de recursos humanos (RH) e (iii) número e tipo de utentes inscritos.
O mecanismo demonstrou validade nas três dimensões testadas. A taxa de erro foi de 2,48% (com correção) nas UF, 0,90% nos RH e negligenciável nos utentes inscritos. Foram identificadas possíveis fontes de discrepância. Posto isto, foi feita a caracterização das Unidades dos CSP e a caracterização dos principais RH por instituição. Foram ainda identificadas novas informações, tais como o cálculo do rácio de Unidades Ponderadas por inscrito em 1,34 e a identificação de que, pelo menos, 12% dos utentes sem Médico de Família estão inscritos numa Unidade de Saúde Familiar.
ABSTRACT - The National Health Service (SNS) is based on primary health care (CSP), the organization of which has been gradually changing. Over the last decade, data on its structure has been made available on the “PHC Identity Card” (BI-CSP) platform. The collection and analysis of this data will enable a better understanding of the structure of CSP and its evolution over time. This detailed characterization will enable the optimization of resource management processes in the future. With the aim of validating a mechanism for creating CSP databases through the automated extraction of open data from BI-CSP, a tool was created to extract and organize data from each CSP Unit. Validation was performed by comparison with the data available on the BI-CSP/SNS transparency portal and focused on (i) number of functional units (UF), (ii) number and type of human resources (RH), and (iii) number and type of registered users. The mechanism proved valid in the three dimensions tested. The error rate was 2.48% (with correction) in the UF, 0.90% in the RH, and negligible in registered users. Possible sources of discrepancy were identified. That said, the CSP Units were characterized, as were the main RH by institution. New information was also identified, such as the calculation of the Weighted Units ratio per registered user at 1.34 and the identification that at least 12% of users without a Family Doctor are registered at a Family Health Unit.
ABSTRACT - The National Health Service (SNS) is based on primary health care (CSP), the organization of which has been gradually changing. Over the last decade, data on its structure has been made available on the “PHC Identity Card” (BI-CSP) platform. The collection and analysis of this data will enable a better understanding of the structure of CSP and its evolution over time. This detailed characterization will enable the optimization of resource management processes in the future. With the aim of validating a mechanism for creating CSP databases through the automated extraction of open data from BI-CSP, a tool was created to extract and organize data from each CSP Unit. Validation was performed by comparison with the data available on the BI-CSP/SNS transparency portal and focused on (i) number of functional units (UF), (ii) number and type of human resources (RH), and (iii) number and type of registered users. The mechanism proved valid in the three dimensions tested. The error rate was 2.48% (with correction) in the UF, 0.90% in the RH, and negligible in registered users. Possible sources of discrepancy were identified. That said, the CSP Units were characterized, as were the main RH by institution. New information was also identified, such as the calculation of the Weighted Units ratio per registered user at 1.34 and the identification that at least 12% of users without a Family Doctor are registered at a Family Health Unit.
Descrição
Palavras-chave
Cuidados de Saúde Primários Dados Abertos Prova de Conceito Recursos Humanos Organização do Serviço Nacional de Saúde Primary Health Care Open Data Proof of Concept Human Resources National Health Service Organization
Contexto Educativo
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Universidade Nova de Lisboa, Escola Nacional de Saúde Pública