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1.
Transplant Proc ; 36(3): 433-4, 2004 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-15110546

RESUMO

Expert-opinion elicitation (EOE) is a heuristic process for gathering evidence and data or answering questions on issues/problems of concern. The Delphi method (DM) is the most frequent technique used to obtain structured elicitation of expert opinions. It has been increasingly applied in medicine to produce guidelines and to evaluate the appropriateness of diagnostic procedures. In this study, a DM has been used as structured EOE process to assess the appropriateness and clinical priority of a data set-based informative system in the context of the Liguria-Trento Transplant Network (LTTN) Project, funded by Italian Ministry of Health. The original data set was obtained by using an interdisciplinary pool of regional experts (n = 60). This data set held 1506 items stratified in 21 categories at various surgical phases (preoperative, intraoperative, and postoperative) and transplantation types (liver, kidney, and kidney/pancreas) in adult and pediatric recipients. Some categories included cadaveric donor management, organ allocation, and acute liver failure. In the second DM round, the data set was subjected to a panel of extraregional, independent experts (n = 9) to assess scores ranging from 1 to 9 on each item, based on increasing appropriateness/priority, according to RAND/UCLA Appropriateness Method. The overall agreement between experts was 95.88%, whereas disagreement and uncertainty were 0.13% and 3.98%, respectively. A major uncertainty occurred for the data set concerning the multiorgan cadaveric donor, for liver transplantation, and for kidney transplantation in adult recipients. The use of a structured EOE process may represent an effective strategy to define the appropriateness and prioritization criteria of a large data set in the field of solid organ transplantation.


Assuntos
Pesquisa sobre Serviços de Saúde/métodos , Doadores de Tecidos , Obtenção de Tecidos e Órgãos/organização & administração , Transplante , Humanos , Itália
2.
Transplant Proc ; 36(3): 442-3, 2004 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-15110550

RESUMO

In Italy, health-care telematic is funded and supported at the level of national government or regional institutions. In 1999, the Italian Ministry of Health started to fund the Liguria-Trento Transplant Network (LTTN) project, a health research project with the aim to build an informative system for donor management and transplantation activity in a macroregional area. At the time of LTTN project proposal, no published Transplant Network Informative System fulfilled Italian rules on telematic management of electronic documentation concerning transplantation activity. Partnership of LTTN project were two Regional Transplant Coordinating Centres, Nord Italia Transplant Interregional Coordinating Centre and the Italian Institute of Health/National Transplant Coordinating Centre. Project Total Quality Management methods were adopted. Technological and case analysis followed ANSI-HL7, CEN-TC251, and Object-Oriented Software Engineering standards. A low-tech prototype powered by a web access relational database is running on a transplant network including web-based clients located in 17 intensive care units, in Nord Italia Transplant Interregional Coordinating Centre, and at the Italian Institute of Health/National Transplant Coordinating Centre. LTTN registry includes pretransplant, surgical, and posttransplant phases regarding liver, kidney, pancreas, and kidney-pancreas transplantation in adult and pediatric recipients. Clinical specifications were prioritized in agreement with the RAND/UCLA appropriateness method. Further implementation will include formal rules for data access and output release, fault tolerance, and a continuous registry evolution plan.


Assuntos
Regionalização da Saúde/organização & administração , Sistema de Registros , Obtenção de Tecidos e Órgãos/organização & administração , Transplante/estatística & dados numéricos , Humanos , Itália , Regionalização da Saúde/estatística & dados numéricos , Estudos Retrospectivos , Obtenção de Tecidos e Órgãos/estatística & dados numéricos
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