Long-term survivor mixture model with random effects: application to a multi-centre clinical trial of carcinoma

A mixture model incorporating long-term survivors has been adopted in the field of biostatistics where some individuals may never experience the failure event under study. The surviving fractions may be considered as cured. In most applications, the survival times are assumed to be independent. However, when the survival data are obtained from a multi-centre clinical trial, it is conceived that the environ mental conditions and facilities shared within clinic affects the proportion cured as well as the failure risk for the uncured individuals. It necessitates a long-term survivor mixture model with random effects. In this paper, the long-term survivor mixture model is extended for the analysis of multivariate failure time data using the generalized linear mixed model (GLMM) approach. The proposed model is applied to analyse a numerical data set from a multi-centre clinical trial of carcinoma as an illustration. Some simulation experiments are performed to assess the applicability of the model based on the average biases of the estimates formed. Copyright (C) 2001 John Wiley & Sons, Ltd.

An evaluation approach for a new paradigm - health care integration

This paper explores an approach to the implementation and evaluation of integrated health service delivery. It identifies the key issues involved in integration evaluation, provides a framework for assessment and identifies areas for the development of new tools and measures. A proactive role for evaluators in responding to health service reform is advocated.

Preprocessing and time-frequency analysis of newborn EEG seizures

Neurological disease or dysfunction in newborn infants is often first manifested by seizures. Prolonged seizures can result in impaired neurodevelopment or even death. In adults, the clinical signs of seizures are well defined and easily recognized. In newborns, however, the clinical signs are subtle and may be absent or easily missed without constant close observation. This article describes the use of adaptive signal processing techniques for removing artifacts from newborn electroencephalogram (EEG) signals. Three adaptive algorithms have been designed in the context of EEG signals. This preprocessing is necessary before attempting a fine time-frequency analysis of EEG rhythmical activities, such as electrical seizures, corrupted by high amplitude signals. After an overview of newborn EEG signals, the authors describe the data acquisition set-up. They then introduce the basic physiological concepts related to normal and abnormal newborn EEGs and discuss the three adaptive algorithms for artifact removal. They also present time-frequency representations (TFRs) of seizure signals and discuss the estimation and modeling of the instantaneous frequency related to the main ridge of the TFR.

An EM-based Semi-Parametric Mixture Model Approach to the Regression Analysis of Competing-Risks Data

We consider a mixture model approach to the regression analysis of competing-risks data. Attention is focused on inference concerning the effects of factors on both the probability of occurrence and the hazard rate conditional on each of the failure types. These two quantities are specified in the mixture model using the logistic model and the proportional hazards model, respectively. We propose a semi-parametric mixture method to estimate the logistic and regression coefficients jointly, whereby the component-baseline hazard functions are completely unspecified. Estimation is based on maximum likelihood on the basis of the full likelihood, implemented via an expectation-conditional maximization (ECM) algorithm. Simulation studies are performed to compare the performance of the proposed semi-parametric method with a fully parametric mixture approach. The results show that when the component-baseline hazard is monotonic increasing, the semi-parametric and fully parametric mixture approaches are comparable for mildly and moderately censored samples. When the component-baseline hazard is not monotonic increasing, the semi-parametric method consistently provides less biased estimates than a fully parametric approach and is comparable in efficiency in the estimation of the parameters for all levels of censoring. The methods are illustrated using a real data set of prostate cancer patients treated with different dosages of the drug diethylstilbestrol. Copyright (C) 2003 John Wiley Sons, Ltd.

Benchmarking therapeutic drug monitoring software: A review of available computer tools

Therapeutic drug monitoring (TDM) aims to optimize treatments by individualizing dosage regimens based on the measurement of blood concentrations. Dosage individualization to maintain concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculations currently represent the gold standard TDM approach but require computation assistance. In recent decades computer programs have been developed to assist clinicians in this assignment. The aim of this survey was to assess and compare computer tools designed to support TDM clinical activities. The literature and the Internet were searched to identify software. All programs were tested on personal computers. Each program was scored against a standardized grid covering pharmacokinetic relevance, user friendliness, computing aspects, interfacing and storage. A weighting factor was applied to each criterion of the grid to account for its relative importance. To assess the robustness of the software, six representative clinical vignettes were processed through each of them. Altogether, 12 software tools were identified, tested and ranked, representing a comprehensive review of the available software. Numbers of drugs handled by the software vary widely (from two to 180), and eight programs offer users the possibility of adding new drug models based on population pharmacokinetic analyses. Bayesian computation to predict dosage adaptation from blood concentration (a posteriori adjustment) is performed by ten tools, while nine are also able to propose a priori dosage regimens, based only on individual patient covariates such as age, sex and bodyweight. Among those applying Bayesian calculation, MM-USC*PACK© uses the non-parametric approach. The top two programs emerging from this benchmark were MwPharm© and TCIWorks. Most other programs evaluated had good potential while being less sophisticated or less user friendly. Programs vary in complexity and might not fit all healthcare settings. Each software tool must therefore be regarded with respect to the individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Computer-assisted TDM is gaining growing interest and should further improve, especially in terms of information system interfacing, user friendliness, data storage capability and report generation.

Use of the internet as a source of health information by Spanish adolescents

The Internet is a fundamental part of the daily life of adolescents, they consider it as a safe and confidential source of information on health matters. The aims is to describe the experience of Spanish adolescents searching for health information on the Internet. Methods A cross-sectional study of 811 school-age adolescents in Granada was carried out. An adapted and piloted questionnaire was used which was controlled by trained personnel. Sociodemographic and health variables were included together with those concerning the conditions governing access to and use of information and communication technologies (ICT). Results 811 adolescents were surveyed (99.38% response rate), mean age was 17 years old. Of these, 88% used the Internet; 57.5% used it on a daily or weekly basis and 38.7% used it occasionally. Nearly half the sample group (55.7%) stated that they used the Internet to search for health-related information. The main problems reported in the search for e-health were the ignorance of good web pages (54.8%) and the lack of confidence or search skills (23.2%). Conclusions In conclusion, it seems plausible to claim that websites designed and managed by health services should have a predominant position among interventions specifically addressed to young people.

Atlas interactivo de mortalidad de Andalucía (AIMA)

Until now, mortality atlases have been static. Most of them describe the geographical distribution of mortality using count data aggregated over time and standardized mortality rates. However, this methodology has several limitations. Count data aggregated over time produce a bias in the estimation of death rates. Moreover, this practice difficult the study of temporal changes in geographical distribution of mortality. On the other hand, using standardized mortality hamper to check differences in mortality among groups. The Interactive Mortality Atlas in Andalusia (AIMA) is an alternative to conventional static atlases. It is a dynamic Geographical Information System that allows visualizing in web-site more than 12.000 maps and 338.00 graphics related to the spatio-temporal distribution of the main death causes in Andalusia by age and sex groups from 1981. The objective of this paper is to describe the methods used for AIMA development, to show technical specifications and to present their interactivity. The system is available from the link products in www.demap.es. AIMA is the first interactive GIS that have been developed in Spain with these characteristics. Spatio-temporal Hierarchical Bayesian Models were used for statistical data analysis. The results were integrated into web-site using a PHP environment and a dynamic cartography in Flash. Thematic maps in AIMA demonstrate that the geographical distribution of mortality is dynamic, with differences among year, age and sex groups. The information nowadays provided by AIMA and the future updating will contribute to reflect on the past, the present and the future of population health in Andalusia.

El nuevo sistema de información y gestión de salud ambiental (SIGSA) se pone en marcha en Andalucía con vocación integradora

Boletín semanal para profesionales sanitarios de la Secretaría General de Salud Pública y Participación Social de la Consejería de Salud

The sustainability of a Spanish Regional Virtual Library

Objectives: The Andalusian Health e-Library (BV-SSPA) is the National Health Library in the region of Andalusia (Spain). It is a corporate hospital library created in 2006. The year 2012 is a turning point for the Spanish economy, and the BV-SSPA has to demonstrate that it is cost-effective and sustainable. Methods: Andalusia is a wide Spanish region with more than 8 million inhabitants, more than 100,000 health professionals for 41 hospitals, 1,500 primary health care centers, and 28 centers for nonmedical attention purposes, and the BV-SSPA was created to cover all these health services. It was appointed the only intermediary for contracting electronic resources destined to the Andalusian Health System. Hospitals are not allowed to subscribe any resources, and the same services are offered for the whole system. Results: In 2011, the BV-SSPA reached the biggest electronic health sciences resource collection in Spain: a total amount of 2,431 subscribed titles, besides 8 databases and other scientific information resources. The following goals were also achieved: • Cost-effectiveness: In 2011, the BV-SSPA represented a saving percentage of 25.42% compared to the individual hospital subscription costs if they would have continued their contracting. • Efficiency: Central purchasing has meant for the Andalusian health professionals, the democracy of research resource access. Some services were also created: • integrated and safe remote access to all the library resources independent of the user’s location • citizenship website, where the resources for citizenship are grouped • Centralized Document Supply Service, focusing all the article orders from and for the Andalusian Health System • institutional repository, which contains the whole intellectual, scientific production generated by the Andalusian health professionals • computer application to study the Andalusian health system scientific production • Social media as instrument for communicating with users • science web, a defined space for researchers. Conclusions: Although Andalusia is facing a dreadful economic situation, the BV-SSPA has demonstrated its sustainability: • For 2012 renewals, it carried out a statistics study allowing obtaining enough data for deciding which titles were not being discharged by users. • Titles with no discharges or without impact factor were rejected after strong negotiation with suppliers, as the BV-SSPA after 6 years on, is considered a strong dealer by them. • This meant savings of 14% from the original budget for 2012, which allowed the continuity of the BV-SSPA without decreasing the quality offered to their users.

La gestión del conocimiento en Ciencias de la Salud en Andalucía: una estrategia viable

The Andalusian Health e-Library was set-up in 2006 as a government initiative of the region. After these seven years, its achievements have placed it as the knowledge manager of Health Sciences in Andalusia. It centralizes the subscription of information resources and the acquisition of applied technologies, but it also implements the necessary services for the research community in order to provide a better management of the information which is used and generated. Nowadays, in these economic turbulence days, the Digital Library optimizes the management and the economic resources in order to suit the Andalusian Government commitment in terms of assistance and research activities.

La gestión del conocimiento en Ciencias de la Salud en Andalucía: una estrategia viable

The Andalusian Health e-Library was set-up in 2006 as a government initiative of the region. After these seven years, its achievements have placed it as the knowledge manager of Health Sciences in Andalusia. It centralizes the subscription of information resources and the acquisition of applied technologies, but it also implements the necessary services for the research community in order to provide a better management of the information which is used and generated. Nowadays, in these economic turbulence days, the Digital Library optimizes the management and the economic resources in order to suit the Andalusian Government commitment in terms of assistance and research activities.

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).

How to manage a virtual library?

Introduction. The Andalusian Public Health System Virtual Library (Biblioteca Virtual del Sistema Sanitario Público de Andalucía, BV-SSPA) was created in June 2006, after being determined by the II Quality Plan in the key process Guarantee the Knowledge Exchange into the Health System which was established by the Strategy IV, Knowledge Management, 2005-2008. It is a government strategy with its own budget and management with the aim of rationalizing the subscriptions into the Andalusian Health System and democratizing the health professional access to qualify scientific information, regardless of the professional workplace. Andalusia is a wide region with more than 8 million inhabitants, more than 90,000 health professionals for 41 hospitals, 1,500 primary healthcare centres, and 12 centres for non-medical attention purposes, and the Virtual Library was created to cover all this Health Services. Before the creation of the BV-SSPA every centre had its own budget and management decisions concerning scientific resources, with the creation of the BV-SSPA both management and budget were centralized. Objectives. With this work we pretend to analyze if the results after these five years have reached the expectations from an economic point of view and determine if really we can offer a benefit to the Andalusian Professional and Society in general. We will demonstrate the following: - The BV-SSPA supposed a cost reduction. It meant cost-effectiveness. - It resulted in Economics of Scale, as we have every year more resources and services investing a minor proportional amount of money. - In terms of Efficiency it implemented more services than the System had before its creation, we a lower budget. Methods. The BV-SSPA was appointed the only intermediary for contracting electronic resources destined to the Andalusian Health System. This had some consequences which should be analyzed: - Hospitals were not allowed to subscribe any resources. - Services offered for the whole System. - A remote access system was created. - Tools to give more visibility to the Public Health System were developed. - Negotiations techniques changed as the BV-SSPA is stronger than individual hospitals. Results. - The amount of 2,431 electronic reviews, 8 data bases and other scientific information resources at the disposal of the Andalusian Health System Professionals and available worldwide requiring only an internet connection. Before the BV-SSPA, 5,267 titles were subscribed by hospital and 2,967 of them were subscribed repeatedly (by two or more hospitals), this represented more than 55%. The rationalization of the subscription investment has been reached. - The establishment of several important scientific services for the whole territory of Andalusia, not only big hospitals. - The use of appropriate tools through a Web 2.0 and Social Media to be acknowledged by most National Health Professionals. Conclusions. It has been demonstrated that the BV-SSPA has become the Central Unit for purchasing, offering librarian services and a reference for users in terms of knowledge management, but from the point of view of business it has also obtained the following results: - Cost-Effectiveness: Its budget for subscriptions is lower than the hospital former one in a 30% and now more electronic resources are available. - Economics of Scale: Near 95,000 health professionals can access this Virtual Library in 2010. Before its creation Professionals for small hospital and Primary Care centres were not able to access to scientific information subscribed by big hospitals. - Efficiency Besides the central electronic purchasing, services were created for the System, without increasing the expenses: - Remote access to all the library resources independent of the user’s location. The BV-SSPA usage increased in a 147% in 2008, when it was installed. - The Document Supply Service implemented in 2009. - The Institutional Repository which contains the whole intellectual, scientific production generated by the Andalusian Public Health Professionals as a result of their healthcare, research or managing activity. - The creation of an application developed by the BV-SSPA to study the Andalusian Health System Scientific Production. - The visibility of the Andalusian Health System reached thanks to the BV-SSPA, through the numerous events in which it participates and organizes such as the 2nd. European National Digital Libraries of Health Conferences and the National Conference of Health Science Information and Documentation held in Cadiz in 2010; and its profile in social media where it can be contacted by citizens and health professionals all over the world. - Negotiation with electronic resource suppliers is much more advantageous as the BV-SSPA is stronger to deal with them thanks to its consolidated budget, its managing independence and its visibility.

Integración de la Biblioteca Virtual del Sistema Sanitario Público de Andalucía en la política científica de la Consejería de Salud y Bienestar Social

Capítulo incluido en parte III del Congreso: Indicadores cuantitativos y cualitativos para el análisis de la colaboración científica