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1.
Thorax ; 75(6): 459-467, 2020 06.
Artigo em Inglês | MEDLINE | ID: mdl-32217780

RESUMO

BACKGROUND: Obesity hypoventilation syndrome (OHS) is treated with either non-invasive ventilation (NIV) or CPAP, but there are no long-term cost-effectiveness studies comparing the two treatment modalities. OBJECTIVES: We performed a large, multicentre, randomised, open-label controlled study to determine the comparative long-term cost and effectiveness of NIV versus CPAP in patients with OHS with severe obstructive sleep apnoea (OSA) using hospitalisation days as the primary outcome measure. METHODS: Hospital resource utilisation and within trial costs were evaluated against the difference in effectiveness based on the primary outcome (hospitalisation days/year, transformed and non-transformed in monetary term). Costs and effectiveness were estimated from a log-normal distribution using a Bayesian approach. A secondary analysis by adherence subgroups was performed. RESULTS: In total, 363 patients were selected, 215 were randomised and 202 were available for the analysis. The median (IQR) follow-up was 3.01 (2.91-3.14) years for NIV group and 3.00 (2.92-3.17) years for CPAP. The mean (SD) Bayesian estimated hospital days was 2.13 (0.73) for CPAP and 1.89 (0.78) for NIV. The mean (SD) Bayesian estimated cost per patient/year in the NIV arm, excluding hospitalisation costs, was €2075.98 (91.6), which was higher than the cost in the CPAP arm of €1219.06 (52.3); mean difference €857.6 (105.5). CPAP was more cost-effective than NIV (99.5% probability) because longer hospital stay in the CPAP arm was compensated for by its lower costs. Similar findings were observed in the high and low adherence subgroups. CONCLUSION: CPAP is more cost-effective than NIV; therefore, CPAP should be the preferred treatment for patients with OHS with severe OSA. TRIAL REGISTRATION NUMBER: NCT01405976.


Assuntos
Pressão Positiva Contínua nas Vias Aéreas/economia , Análise Custo-Benefício , Síndrome de Hipoventilação por Obesidade/terapia , Idoso , Teorema de Bayes , Feminino , Humanos , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Ventilação não Invasiva , Síndrome de Hipoventilação por Obesidade/fisiopatologia , Polissonografia , Índice de Gravidade de Doença , Espanha , Espirometria
2.
Gac Sanit ; 38 Suppl 1: 102394, 2024.
Artigo em Espanhol | MEDLINE | ID: mdl-38719697

RESUMO

Healthcare professionals deserve good management, and Spain, stagnant in its productivity, needs it. Good management is possible, as evidenced during the states of alarm in 2020. None of the lessons learned have been consolidated. Dismissing the term "public management" as an oxymoron is extreme, as there has never been a greater need for a well-functioning state, along with a better market, for reasons beyond the consolidation of the welfare state. The opposite extreme of thinking that salvation lies only within the civil service is also unhelpful. Bureaucratic sclerosis, a sign of deterioration, focused on legality or its appearance, cannot continue to ignore the need for effectiveness. The quality of management, both in general and in the healthcare sector, can be measured, and there is knowledge on how to improve it. More flexible models of labor relations -for selection, recruitment, and retention based on improved criteria of "equality, merit, and capability"- require modifications in institutional architecture, as proposed in this article: competitor benchmarking among autonomous centers and responsible entities that share standardized rules. The healthcare system, the jewel of the country, thanks in large part to the quality of its human resources, not only deserves to have its potential unleashed but can also lead the necessary increase in its resolution capacity, ensuring its impact on social well-being. It can also document its research and innovative capabilities in intellectual property, thereby contributing to the gross domestic product.


Assuntos
Gestão de Recursos Humanos , Espanha , Humanos , Gestão de Recursos Humanos/métodos , Atenção à Saúde/organização & administração , Mão de Obra em Saúde
3.
Account Res ; 25(2): 94-108, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29390914

RESUMO

Peer review in the scientific publication is widely used as a method to identify valuable knowledge. Editors have the task of selecting appropriate reviewers. We assessed the reasons given by potential reviewers for declining a request to review, and the factors associated with acceptance, taking into account the difference in the sex of the reviewer. This is a descriptive study of the review requests from a public health journal (Gaceta Sanitaria) with an enforced gender policy. The dependent variables were requests, response to requests, reasons potential reviewers gave for declining requests and time to review. We carried out a descriptive analysis of these indicators and applied logistic regression to analyze factors (professional and research/review experience) associated with having done at least one review in 2014-2015. Results were stratified by sex. Journal editors sent 1,775 requests to 773 potential reviewers; 52.3% of whom reviewed at least one manuscript. Of the 396 declined requests (22.3%), the most common reasons were lack of time and of experience (88.1%). No differences were observed by sex. In the multivariate analysis, having reviewed for the journal in previous years showed the strongest association with acceptance. Specific analyses of data on requests reviewers may be useful for improving the acceptance rates to review. This study did not show gender differences in several indicators of the reviewing process.


Assuntos
Revisão da Pesquisa por Pares/normas , Publicações Periódicas como Assunto/estatística & dados numéricos , Publicações Periódicas como Assunto/normas , Saúde Pública , Políticas Editoriais , Humanos , Profissionalismo , Pesquisa Qualitativa , Fatores Sexuais , Sexismo/estatística & dados numéricos , Espanha , Fatores de Tempo
4.
Artigo em Inglês | MEDLINE | ID: mdl-16774289

RESUMO

Prospective observational studies, which provide information on the effectiveness of interventions in natural settings, may complement results from randomised clinical trials in the evaluation of health technologies. However, observational studies are subject to a number of potential methodological weaknesses, mainly selection and observer bias. This paper reviews and applies various methods to control for selection bias in the estimation of treatment effects and proposes novel ways to assess the presence of observer bias. We also address the issues of estimation and inference in a multilevel setting. We describe and compare the use of regression methods, propensity score matching, fixed-effects models incorporating investigator characteristics, and a multilevel, hierarchical model using Bayesian estimation techniques in the control of selection bias. We also propose to assess the existence of observer bias in observational studies by comparing patient- and investigator-reported outcomes. To illustrate these methods, we have used data from the SOHO (Schizophrenia Outpatient Health Outcomes) study, a large, prospective, observational study of health outcomes associated with the treatment of schizophrenia. The methods used to adjust for differences between treatment groups that could cause selection bias yielded comparable results, reinforcing the validity of the findings. Also, the assessment of observer bias did not show that it existed in the SOHO study. Observational studies, when properly conducted and when using adequate statistical methods, can provide valid information on the evaluation of health technologies.


Assuntos
Avaliação de Resultados em Cuidados de Saúde/métodos , Teorema de Bayes , Humanos , Estudos Prospectivos , Análise de Regressão , Esquizofrenia/terapia , Viés de Seleção , Espanha
11.
Expert Rev Pharmacoecon Outcomes Res ; 11(3): 277-9, 2011 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-21671696

RESUMO

Evaluation of: Oppe M, Al M, Rutten-van Mölken M. Comparing methods of data synthesis. Re-estimating parameters of an existing probabilistic cost-effectiveness model. Pharmacoeconomics 29(3), 239-250 (2011). In the paper by Oppe et al., a cost-effectiveness analysis of alternative treatments for chronic obstructive pulmonary disease (COPD), based on data from four different trials, is considered. The goal is to compare the usual (frequentist and Bayesian) fixed-effects (FE) and random-effects (RE) normal model for carrying out meta-analysis. Under RE and FE models, the meta-estimation of some quantities of interest for the disease are also carried out using three out of the four trials, and afterwards data from the fourth are incorporated into the meta-estimation. From these sequential estimators, some conclusions on the FE and RE procedures are drawn. Furthermore, as far as the cost-effectiveness is concerned, the main conclusion of the paper is that the Bayesian RE procedure overrides the Bayesian FE and frequentist methods for cost-effectiveness meta-analysis.

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