Falhas de mercado e redes em políticas públicas: desafios e possibilidades ao Sistema Único de Saúde

Os princípios e as diretrizes do Sistema Único de Saúde (SUS) impõem uma estrutura de assistência baseada em redes de políticas públicas que, combinada ao modelo de financiamento adotado, conduz a falhas de mercado. Isso impõe barreiras à gestão do sistema público de saúde e à concretização dos objetivos do SUS. As características institucionais e a heterogeneidade dos atores, aliadas à existência de diferentes redes de atenção à saúde, geram complexidade analítica no estudo da dinâmica global da rede do SUS. Há limitações ao emprego de métodos quantitativos baseados em análise estática com dados retrospectivos do sistema público de saúde. Assim, propõe-se a abordagem do SUS como sistema complexo, a partir da utilização de metodologia quantitativa inovadora baseada em simulação computacional. O presente artigo buscou analisar desafios e potencialidades na utilização de modelagem com autômatos celulares combinada com modelagem baseada em agentes para simulação da evolução da rede de serviços do SUS. Tal abordagem deve permitir melhor compreensão da organização, heterogeneidade e dinâmica estrutural da rede de serviços do SUS e possibilitar minimização dos efeitos das falhas de mercado no sistema de saúde brasileiro.

Rehabilitative management of swallowing and oral-motor movements in patients with tetanus of a public service in Brazil

When looking at developing countries, the prolonged intensive medical and nursing care required by many patients places extra demands on an already stretched healthcare budget. The purpose of this study was to verify the effectiveness of a systematic rehabilitative program for swallowing and oral-motor movements in intensive care unit patients with the diagnosis of tetanus. Forty-five patients who were clinically diagnosed with tetanus were included in the study. Participants were divided in two groups: Cl - consisted of 18 tetanus patients who were consecutively admitted to the infectious disease ICU from January 2002 to December 2005, prior to the existence of a systematic swallowing and oral-motor intervention: GII - consisted of 27 tetanus patients who were consecutively admitted to the infectious disease ICU from January 2006 to December 2009 and were submitted to a specific rehabilitative management of swallowing and of the oral-motor movements. Results indicate that the proposed rehabilitative program reduced by approximately 50% the time patients remained in the ICU. The significant improvement observed in patients with tetanus who were submitted to the rehabilitative program for swallowing and oral-motor movements occurred in conjunction with a reduction in the amount of time necessary to reintroduce oral feeding, to decannulate and to remove the feeding tubes. In conclusion, swallowing/muscle exercise, in patients with severe/very severe tetanus, seem to promote the remission of muscle tension and seem to maximize functional swallowing. (C) 2012 Elsevier B.V. All rights reserved.

Assessment of referrals to an OT consultation-liaison service: a retrospective and comparative study

The objective was to conduct a retrospective and comparative study of the requests for consultation-liaison (RCLs), during a period of six years, sent to the Occupational Therapy (OT) team that acts as the Consultation-liaison Service in Mental Health. During the studied period 709 RCLs were made and 633 patients received OT consultations. The comparison group was extended to 1 129 consecutive referrals to the psychiatric CL service, within the same period and that were also retrospectively reviewed. Regarding to RCLs to the OT team, most of the subjects were women with incomplete elementary schooling, with a mean age of 39.2 years, and were self-employed or retired. Internal Medicine was responsible for most of the RCLs. The mean length of hospitalization was 51 days and the mean rate of referral was 0.5%, with the most frequent reason for the request being related to the emotional aspects and the most frequent psychiatric diagnosis was mood disorder. It is concluded that there is a clear demand for the development of consultation-liaison in OT, particularly with regard to the promotion of mental health in general hospitals.

Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records

Surveillance Levels (SLs) are categories for medical patients (used in Brazil) that represent different types of medical recommendations. SLs are defined according to risk factors and the medical and developmental history of patients. Each SL is associated with specific educational and clinical measures. The objective of the present paper was to verify computer-aided, automatic assignment of SLs. The present paper proposes a computer-aided approach for automatic recommendation of SLs. The approach is based on the classification of information from patient electronic records. For this purpose, a software architecture composed of three layers was developed. The architecture is formed by a classification layer that includes a linguistic module and machine learning classification modules. The classification layer allows for the use of different classification methods, including the use of preprocessed, normalized language data drawn from the linguistic module. We report the verification and validation of the software architecture in a Brazilian pediatric healthcare institution. The results indicate that selection of attributes can have a great effect on the performance of the system. Nonetheless, our automatic recommendation of surveillance level can still benefit from improvements in processing procedures when the linguistic module is applied prior to classification. Results from our efforts can be applied to different types of medical systems. The results of systems supported by the framework presented in this paper may be used by healthcare and governmental institutions to improve healthcare services in terms of establishing preventive measures and alerting authorities about the possibility of an epidemic.