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In this study the novel hydrogel loaded with gold nanoparticle (AuNP) enhanced the berberine (BS) release when compared with other formulations of hydrogel. Hydrogels are hydrophilic polymer networks having the capacity to absorb water, ranging from about twenty to thousand times their dry weight. BS is a natural product, a quaternary ammonium salt from the group of isoquinoline alkaloids found in medicinal plants as Berberis Vulgaris. BS has some activity against dysentery, hypertension, inflammation, and liver disease in China and Japan. In this work, BS was used as a model drug to study its association with different types of hydrogel composites of polyvinyl alcohol (BS-PVA 10%); gellan gum (BS-GG 2%), gellan gum-PVA crosslinked with cysteine (cys) (BSGG2%PVA2%cys) and gellan gum-PVA cosslinked with cysteine associated with gold nanoparticles (AuNP-BSGG2%PVA2%cys). Several parameters such as fraction of retained water (Wf), hydration percentage (%H), Swelling (DSw) and time course profile (t = 100%) (TC) were evaluated for all preparations. The results showed that the AuNP-BS-GG2%PVA2%cys was able to retain more water and swelling than the other preparations. The time course of release of the BS to the medium was greater for AuNP-BS-GG2%PVA2%cys making it a candidate to drug delivery studies in biological assays. Also Scanning Electron Microscopy (SEM) images of the surface of these hydrogel were performed. Furthermore, crosslink of the resulting hydrogels were investigated by Fourier Transform Infrared Spectroscopy (FTIR) and differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA). Thus, briefly, the aim of this work was to study three composition of hydrogel loaded with BS and its composition in relation to addition to AuNP and evaluate its profile for further drug delivery application using the Surface Plasmonic Resonance (SPR) as a tool improving the drug release in the new hydrogel. * Corresponding authors. C. Rufino Souza et al.54

RESUMOO debate sobre a necessidade de melhoria da utilização de recursos em saúde fez aumentar o interesse em evidências do mundo real (EMR) nos últimos anos. No sétimo congresso Latino-Americano da Sociedade Internacional de Farmacoeconomia e Pesquisa de Desfechos, diferentes palestrantes exploraram como o manejo desses dados pode auxiliar no processo de tomada de decisão. Quatro membros representando diferentes segmentos do Sistema de Saúde Suplementar (SSS) brasileiro foram convidados a participar de um painel de especialistas, a fim de entender suas percepções sobre o assunto. O nível de confiança na informação atualmente disponível variou entre 70% e 90% e os dados são utilizados na rotina de tomada de decisão. Considerando a utilização de evidências para prever decisões, os especialistas relatam não existir uma matriz institucional, mas que as informações existentes são utilizadas na construção de modelos preditivos por meio da criação de pacotes de serviços. A priorização da tomada de decisão é hoje essencialmente baseada em estimativas de custos. Apesar disso, são observadas diferentes situações em que dados de mundo real podem balizar esse processo. Existiu consenso de que uma mudança de paradigmas está ocorrendo e que esses processos representam um futuro plausível. O uso de EMR é de grande importância no processo de tomada de decisão na perspectiva do SSS e, acima de tudo, no suporte de modelos de saúde baseados em valor, sendo recomendado pela Agência Nacional de Saúde Suplementar como um pilar estratégico para a sustentabilidade do sistema. ABSTRACTThe debate about the needs for healthcare resource utilization improvement has been soaring during the last years. As a result, discussions on enhancements of the decision-making process through the leverage of real-world evidence (RWE) has also been fostered. In the 7th Latin American congress of the International Society for Pharmacoeconomics and Outcomes Research, different speakers explored how the management of these data support real-life healthcare decisions. Four members representing different segments from the Brazilian Supplementary Healthcare System (SHS) were invited to participate on an expert panel in order to understand their perceptions on this subject. The confidence level on available data ranges from 70% to 90% and information is used on decision-making routine. When the use of real-world evidence to predict decision was considered, panelists reported the absence of an institutional decision matrix, but that existing information is used to build predictive models through the creation of service packages. The prioritization of decision-making today is essentially based on the estimation of costs. However, different situations in which real-world data can Recebido em: 19/11/2019 Aprovado para publicação em: 09/12/2019 1. IQVIA INC, USA 2. Sistema de Assistência à Saúde dos Servidores Públicos Estaduais (Planserv), Salvador, BA, Brasil 3. Unimed Curitiba, Curitiba, PR, Brasil 4. São Francisco, SP, Brasil 5. GEAP Saúde, Brasília, Brasil 6. J...

Hydrogels are hydrophilic polymer networks having the capacity to absorb water, ranging from about twenty to thousand times their dry weight. Berberine (BS) is a natural product, a quaternary ammonium salt from the group of isoquinoline alkaloids found in medicinal plants as Berberis Vulgaris. It has been reported that BS has some activity against and has already been used to treat dysentery, hypertension, inflammation, and liver disease in China and Japan. In this work, berberine was used as a model drug to study the its association with different types of hydrogel of Polyvinyl alcohol (PVA 10%); gellan gum (GG 2%) and gellan gum‐PVA crosslinked with cysteine (cys) (GG2%PVA2%2%cys) preparations. Parameters such as fraction of retained water (Wf); hydration percentage (%H); Swelling (DSw) and time course profile (t=100%) (TC) were evaluated.The results showed that the GG2%PVA2%cis was able to retain more water and swelling than the other preparations. The time course of release of the BS to the medium was greater for GG2%PVA2%cys making it a candidate to drug delivery studies in biological assays. Supported by FAPDF, CAPES, CNPq, FINATEC and DPP‐UnB.