Public health and valorization of genome-based technologies: a new model

<p>Abstract</p> <p>Background</p> <p>The success rate of timely translation of genome-based technologies to commercially feasible products/services with applicability in health care systems is significantly low. We identified both industry and scientists neglect health policy aspects when commercializing their technology, more specifically, Public Health Assessment Tools (PHAT) and early on involvement of decision makers through which market authorization and reimbursements are dependent. While Technology Transfer (TT) aims to facilitate translation of ideas into products, Health Technology Assessment, one component of PHAT, for example, facilitates translation of products/processes into healthcare services and eventually comes up with recommendations for decision makers. We aim to propose a new model of valorization to optimize integration of genome-based technologies into the healthcare system.</p> <p>Methods</p> <p>The method used to develop our model is an adapted version of the Fish Trap Model and the Basic Design Cycle.</p> <p>Results</p> <p>We found although different, similarities exist between TT and PHAT. Realizing the potential of being mutually beneficial justified our proposal of their relative parallel initiation. We observed that the Public Health Genomics Wheel should be included in this relative parallel activity to ensure all societal/policy aspects are dealt with preemptively by both stakeholders. On further analysis, we found out this whole process is dependent on the Value of Information. As a result, we present our LAL (Learning Adapting Leveling) model which proposes, based on market demand; TT and PHAT by consultation/bi-lateral communication should advocate for relevant technologies. This can be achieved by public-private partnerships (PPPs). These widely defined PPPs create the innovation network which is a developing, consultative/collaborative-networking platform between TT and PHAT. This network has iterations and requires learning, assimilating and using knowledge developed and is called absorption capacity. We hypothesize that the higher absorption capacity, higher success possibility. Our model however does not address the phasing out of technology although we believe the same model can be used to simultaneously phase out a technology.</p> <p>Conclusions</p> <p>This model proposes to facilitate optimization/decrease the timeframe of integration in healthcare. It also helps industry and researchers to come to a strategic decision at an early stage, about technology being developed thus, saving on resources, hence minimizing failures.</p

Searching for high quality evidence to prepare patient information

OBJECTIVES: To help those preparing patient information by developing a search protocol for finding evidence on treatments that would maximize rigour, relevance and completeness. To apply the search protocol in one example area, 'early breast cancer'. METHODS: Development--a multidisciplinary group listed evidence sources and assigned them to 'rigour of methods' bandings and also assessed their completeness. A search protocol was made by ranking evidence sources by rigour and then by completeness. Application-the protocol was used to search for information on treatments for early breast cancer. RESULTS: Eighteen evidence sources provided details of their methods. Thirteen sources were assigned to Band A ('key source') and two sources to Band B ('some doubt about rigour but nevertheless useful'). The 15 Band A and B sources were ordered into a search protocol and used to identify 24 pieces of evidence about early breast cancer. Ten reviews were excluded (as irrelevant), leaving 14 useful pieces of evidence-based information to help inform patient information. CONCLUSIONS: Those preparing patient information on treatments for early breast cancer would find 14 pieces of useful evidence. It remains to be seen how far these pieces of evidence would answer questions that patients might pose about treatments

Zafirlukast (Accolate&quot;T&quot;M) in asthma

SIGLEAvailable from British Library Document Supply Centre-DSC:3578.772(64) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Tacrolimus after kidney transplantation

SIGLEAvailable from British Library Document Supply Centre-DSC:3578.772(74) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Riluzole for motor neurone disease

SIGLEAvailable from British Library Document Supply Centre-DSC:3578.772(73) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Padrão de incorporação de fármacos antiretrovirais pelo sistema público de saúde no Brasil Patterns of antiretroviral therapy adoption by the Brazilian public health system

OBJETIVO: avaliar o padrão de incorporação de fármacos antiretrovirais pelo Sistema Público de Saúde no Brasil (SUS). MÉTODOS: baseando-se em trabalhos prévios publicados na literatura médica foram propostos três indicadores a serem utilizados na análise da incorporação de fármacos: intervalo conhecimento-incorporação, massa crítica de conhecimento e intervalo validação-incorporação. Utilizando-se as bases de dados do Departamento de Informática do SUS (Datasus) e do Sistema de Controle Logístico de Medicamentos (SICLOM) foram selecionados dois grupos de tecnologias farmacológicas (medicações antiretrovirais e medicações de dispensação em caráter excepcional). RESULTADOS: os medicamentos antiretrovirais analisados foram incorporados de maneira mais precoce que os medicamentos de dispensação em caráter excepcional, tanto no que se refere ao intervalo "conhecimento-incorporação" quanto ao intervalo "validação-incorporação", e apresentam uma menor "massa crítica de conhecimento" para a incorporação. CONCLUSÃO: Os medicamentos antiretrovirais têm sido incorporados de maneira mais rápida, e após a publicação de um menor número de artigos científicos, quando em comparação aos medicamentos de dispensação em caráter excepcional.<br>OBJECTIVE: The aim of the present scientific study is to evaluate the patterns of antiretroviral technology adoption by the Brazilian Public Health System (SUS). METHODS: Based on previous articles published in scientific medical literature, three indicators to assess antiretroviral technology adoption by SUS were proposed: knowledge-adoption interval; critical mass of knowledge; and validation-adoption interval. Using the databases from the SUS Department of Information Technology (DATASUS) and from the Brazilian Logistic Center for Medication Control (SICLOM), two pharmaceutical groups were selected (antiretroviral medications and a group of high cost medications). RESULTS: Antiretroviral medications were adopted faster than the high cost medication group when assessed on the basis of "knowledge-adoption" interval and "validation-adoption" interval. Yet, they require a lower "critical mass of knowledge" before adoption. CONCLUSION: Antiretroviral medications have been adopted faster and based on a lower number of scientific medical articles than a selected group of high cost medications