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1.
BMC Med ; 20(1): 75, 2022 03 03.
Artigo em Inglês | MEDLINE | ID: mdl-35236353

RESUMO

BACKGROUND: The shortage of available organs for life-saving transplants persists worldwide. While a majority support donating their organs or tissue when they die, many have not registered their wish to do so. When registered, next of kin are much more likely to follow-through with the decision to donate. In many countries, most people visit their family physician office each year and this setting is a promising, yet underused, site where more people could register for deceased organ donation. Our primary aim was to evaluate the effectiveness of an intervention to promote organ donation registration in family physician's offices. METHODS: We developed an intervention to address barriers and enablers to organ donation registration that involved physician office reception staff inviting patients to register on a tablet in the waiting room while they waited for their appointment. We conducted a cross-sectional stepped-wedge cluster randomized controlled registry trial to evaluate the intervention. We recruited six family physician offices in Canada. All offices began with usual care and then every two weeks, one office (randomly assigned) started the intervention until all offices delivered the intervention. The primary outcome was registration for deceased organ donation in the provincial organ registration registry, assessed within the 7 days of the physician visit. At the end of the trial, we also conducted interviews with clinic staff to assess any barriers and enablers to delivering the intervention. RESULTS: The trial involved 24,616 patient visits by 13,562 unique patients: 12,484 visits in the intervention period and 12,132 in the control period. There was no statistically significant difference in the percentage of patients registered for deceased organ donation in the intervention versus control period (48.0% vs 46.2%; absolute difference after accounting for the secular trend: 0.12%; 95% CI: - 2.30, 2.54; p=0.92). Interviews with clinic staff indicated location of the tablet within a waiting room, patient rapport, existing registration, confidence and motivation to deliver the intervention and competing priorities as barriers and enablers to delivery. CONCLUSIONS: Our intervention did not increase donor registration. Nonetheless, family physician offices may still remain a promising setting to develop and evaluate better interventions to increase organ donation registration. TRIAL REGISTRATION: NCT03213171.


Assuntos
Médicos de Família , Obtenção de Tecidos e Órgãos , Estudos Transversais , Humanos , Sistema de Registros , Salas de Espera
2.
Trials ; 18(1): 610, 2017 Dec 21.
Artigo em Inglês | MEDLINE | ID: mdl-29268758

RESUMO

BACKGROUND: There is a worldwide shortage of organs available for transplant, leading to preventable mortality associated with end-stage organ disease. While most citizens in many countries with an intent-to-donate "opt-in" system support organ donation, registration rates remain low. In Canada, most Canadians support organ donation but less than 25% in most provinces have registered their desire to donate their organs when they die. The family physician office is a promising yet underused setting in which to promote organ donor registration and address known barriers and enablers to registering for deceased organ and tissue donation. We developed a protocol to evaluate an intervention to promote registration for organ and tissue donation in family physician waiting rooms. METHODS/DESIGN: This protocol describes a planned, stepped-wedge, cluster randomized registry trial in six family physician offices in Ontario, Canada to evaluate the effectiveness of reception staff providing patients with a pamphlet that addresses barriers and enablers to registration including a description of how to register for organ donation. An Internet-enabled tablet will also be provided in waiting rooms so that interested patients can register while waiting for their appointments. Family physicians and reception staff will be provided with training and/or materials to support any conversations about organ donation with their patients. Following a 2-week control period, the six offices will cross sequentially into the intervention arm in randomized sequence at 2-week intervals until all offices deliver the intervention. The primary outcome will be the proportion of patients visiting the office who are registered organ donors 7 days following their office visit. We will evaluate this outcome using routinely collected registry data from provincial administrative databases. A post-trial qualitative evaluation process will assess the experiences of reception staff and family physicians with the intervention and the stepped-wedge trial design. DISCUSSION: Promoting registration for organ donation in family physician offices is a potentially useful strategy for increasing registration for organ donation. Increased registration may ultimately help to increase the number of organs available for transplant. The results of this trial will provide important preliminary data on the effectiveness of using family physician offices to promote registration for organ donation. TRIAL REGISTRATION: ClinicalTrials.gov, ID: NCT03213171 . Registered on 11 July 2017.


Assuntos
Ensaios Clínicos Pragmáticos como Assunto , Sistema de Registros , Obtenção de Tecidos e Órgãos/estatística & dados numéricos , Humanos , Médicos de Família , Projetos de Pesquisa , Tamanho da Amostra
3.
Syst Biol ; 56(2): 194-205, 2007 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-17464878

RESUMO

Traditionally, phylogenetic analyses over many genes combine data into a contiguous block. Under this concatenated model, all genes are assumed to evolve at the same rate. However, it is clear that genes evolve at very different rates and that accounting for this rate heterogeneity is important if we are to accurately infer phylogenies from heterogeneous multigene data sets. There remain open questions regarding how best to incorporate gene rate parameters into phylogenetic models and which properties of real data correlate with improved fit over the concatenated model. In this study, two methods of accounting for gene rate heterogeneity are compared: the n-parameter method, which allows for each of the n gene partitions to have a gene rate parameter, and the alpha-parameter method, which fits a distribution to the gene rates. Results demonstrate that the n-parameter method is both computationally faster and in general provides a better fit over the concatenated model than the alpha-parameter method. Furthermore, improved model fit over the concatenated model is highly correlated with the presence of a gene with a slow relative rate of evolution.


Assuntos
Heterogeneidade Genética , Modelos Genéticos , Filogenia , Simulação por Computador , Evolução Molecular , Genes
4.
Syst Biol ; 54(6): 900-15, 2005 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-16282169

RESUMO

In phylogenetic analyses with combined multigene or multiprotein data sets, accounting for differing evolutionary dynamics at different loci is essential for accurate tree prediction. Existing maximum likelihood (ML) and Bayesian approaches are computationally intensive. We present an alternative approach that is orders of magnitude faster. The method, Distance Rates (DistR), estimates rates based upon distances derived from gene/protein sequence data. Simulation studies indicate that this technique is accurate compared with other methods and robust to missing sequence data. The DistR method was applied to a fungal mitochondrial data set, and the rate estimates compared well to those obtained using existing ML and Bayesian approaches. Inclusion of the protein rates estimated from the DistR method into the ML calculation of trees as a branch length multiplier resulted in a significantly improved fit as measured by the Akaike Information Criterion (AIC). Furthermore, bootstrap support for the ML topology was significantly greater when protein rates were used, and some evident errors in the concatenated ML tree topology (i.e., without protein rates) were corrected. [Bayesian credible intervals; DistR method; multigene phylogeny; PHYML; rate heterogeneity.].


Assuntos
Simulação por Computador , Evolução Molecular , Modelos Estatísticos , Filogenia , Análise de Sequência de Proteína/métodos , Algoritmos , Classificação/métodos , Biologia Computacional/métodos , Proteínas Fúngicas/classificação , Funções Verossimilhança , Estatística como Assunto/métodos
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