ABSTRACT OBJECTIVE This study aims to propose a comprehensive alternative to the Bland-Altman plot method, addressing its limitations and providing a statistical framework for evaluating the equivalences of measurement techniques. This involves introducing an innovative three-step approach for assessing accuracy, precision, and agreement between techniques, which enhances objectivity in equivalence assessment. Additionally, the development of an R package that is easy to use enables researchers to efficiently analyze and interpret technique equivalences. METHODS Inferential statistics support for equivalence between measurement techniques was proposed in three nested tests. These were based on structural regressions with the goal to assess the equivalence of structural means (accuracy), the equivalence of structural variances (precision), and concordance with the structural bisector line (agreement in measurements obtained from the same subject), using analytical methods and robust approach by bootstrapping. To promote better understanding, graphical outputs following Bland and Altman’s principles were also implemented. RESULTS The performance of this method was shown and confronted by five data sets from previously published articles that used Bland and Altman’s method. One case demonstrated strict equivalence, three cases showed partial equivalence, and one showed poor equivalence. The developed R package containing open codes and data are available for free and with installation instructions at Harvard Dataverse at https://doi.org/10.7910/DVN/AGJPZH. CONCLUSION Although easy to communicate, the widely cited and applied Bland and Altman plot method is often misinterpreted, since it lacks suitable inferential statistical support. Common alternatives, such as Pearson’s correlation or ordinal least-square linear regression, also fail to locate the weakness of each measurement technique. It may be possible to test whether two techniques have full equivalence by preserving graphical communication, in accordance with Bland and Altman’s principles, but also adding robust and suitable inferential statistics. Decomposing equivalence into three features (accuracy, precision, and agreement) helps to locate the sources of the problem when fixing a new technique.

ABSTRACT OBJECTIVE This study aims to propose a comprehensive alternative to the Bland-Altman plot method, addressing its limitations and providing a statistical framework for evaluating the equivalences of measurement techniques. This involves introducing an innovative three-step approach for assessing accuracy, precision, and agreement between techniques, which enhances objectivity in equivalence assessment. Additionally, the development of an R package that is easy to use enables researchers to efficiently analyze and interpret technique equivalences. METHODS Inferential statistics support for equivalence between measurement techniques was proposed in three nested tests. These were based on structural regressions with the goal to assess the equivalence of structural means (accuracy), the equivalence of structural variances (precision), and concordance with the structural bisector line (agreement in measurements obtained from the same subject), using analytical methods and robust approach by bootstrapping. To promote better understanding, graphical outputs following Bland and Altman’s principles were also implemented. RESULTS The performance of this method was shown and confronted by five data sets from previously published articles that used Bland and Altman’s method. One case demonstrated strict equivalence, three cases showed partial equivalence, and one showed poor equivalence. The developed R package containing open codes and data are available for free and with installation instructions at Harvard Dataverse at https://doi.org/10.7910/DVN/AGJPZH. CONCLUSION Although easy to communicate, the widely cited and applied Bland and Altman plot method is often misinterpreted, since it lacks suitable inferential statistical support. Common alternatives, such as Pearson’s correlation or ordinal least-square linear regression, also fail to locate the weakness of each measurement technique. It may be possible to test whether two techniques have full equivalence by preserving graphical communication, in accordance with Bland and Altman’s principles, but also adding robust and suitable inferential statistics. Decomposing equivalence into three features (accuracy, precision, and agreement) helps to locate the sources of the problem when fixing a new technique. BlandAltman threestep step accuracy precision assessment Additionally tests , (accuracy) (precision) subject, subject subject) bootstrapping understanding Altmans s implemented https//doi.org/10.7910/DVN/AGJPZH. httpsdoiorg107910DVNAGJPZH httpsdoiorgDVNAGJPZH https //doi.org/10.7910/DVN/AGJPZH. doi org 10 7910 DVN AGJPZH https://doi.org/10.7910/DVN/AGJPZH communicate misinterpreted alternatives Pearsons Pearson leastsquare least square regression communication (accuracy (precision https//doi.org/10.7910/DVN/AGJPZH httpsdoiorg DVNAGJPZH doiorg107910DVNAGJPZH doiorgDVNAGJPZH //doi.org/10.7910/DVN/AGJPZH 1 791 doiorg 79 7

Abstract Objective: Cognitive dysfunction may occur postoperatively. Fast and efficient assessment of Postoperative Cognitive Dysfunction (POCD) can minimize loss of quality of life, and therefore, a study comparing a digital game with standard neuropsychological tests to assess executive, mnemonic, and attention functions to evaluate POCD seems to be relevant both for research and clinical practice. Methods: A battery of standardized tests and a digital game (MentalPlus®) were administered to 60 patients at the Central Institute of Hospital das Clínicas in São Paulo (36 women and 24 men), with ages between 29 and 82 years, preand post-surgery performed under anesthesia. Correlation and linear regression model were used to compare the scores obtained from the standardized tests to the scores of the six executive and cognitive functions evaluated by the game (shortand long-term memory, selective and alternating attention, inhibitory control, and visual perception). Results: After correlation analysis, a statistically significant result was found mainly for the correlation between the scores from the phase of the digital game assessing the visuoperception function and the scores from the A and B cards of the Stroop Test (p < 0.001, r = 0.99 and r = 0.64, respectively), and the scores from TMTA (p = 0.0046, r = 0.51). We also found a moderate correlation between the phase of the game assessing short-memory function and VVLT (p < 0.001, r = 0.41). No statistically significant correlations were found for the other functions assessed. Conclusion: The digital game provided scores in agreement with standardized tests for evaluating visual perception and possibly short-term memory cognitive functions. Further studies are necessary to verify the correlation of other phases of the digital game with standardized tests assessing cognitive functions.

Abstract Objective: Postoperative cognitive dysfunction may result from worsening in a condition of previous impairment. It causes greater difficulty in recovery, longer hospital stays, and consequent delay in returning to work activities. Digital games have a potential neuromodulatory and rehabilitation effect. In this study, a digital game was used as a neuropsychological test to assess postoperative cognitive dysfunction, with preoperative patient performance as control. Methods: It was a non-controlled study, with patients selected among candidates for elective non-cardiac surgery, evaluated in the preand postoperative periods. The digital game used has six phases developed to evaluate selective attention, alternating attention, visuoperception, inhibitory control, short-term memory, and long-term memory. The digital game takes about 25 minutes. Scores are the sum of correct answers in each cognitive domain. Statistical analysis compared these cognitive functions preand post-surgery using a generalized linear mixed model (ANCOVA). Results: Sixty patients were evaluated, 40% male and 60% female, with a mean age of 52.7 ± 13.5 years. Except for visuoperception, a reduction in post-surgery scores was found in all phases of the digital game. Conclusion: The digital game was able to detect decline in several cognitive functions postoperatively. As its completion is faster than in conventional tests on paper, this digital game may be a potentially recommended tool for assessing patients, especially the elderly and in the early postoperative period.

This article describes the development and evaluation of software that verifies the accuracy of diagnoses made by nursing students. The software was based on a model that uses fuzzy logic concepts, including PERL, the MySQL database for Internet accessibility, and the NANDA-I 2007-2008 classification system. The software was evaluated in terms of its technical quality and usability through specific instruments. The activity proposed in the software involves four stages in which students establish the relationship values between nursing diagnoses, defining characteristics/risk factors and clinical cases. The relationship values determined by students are compared to those of specialists, generating performance scores for the students. In the evaluation, the software demonstrated satisfactory outcomes regarding the technical quality and, according to the students, helped in their learning and may become an educational tool to teach the process of nursing diagnosis.

Este artículo describe el desarrollo y evaluación de un software que verifica la exactitud diagnóstica de alumnos de enfermería. El software se basó en un modelo que utiliza conceptos de lógica fuzzy, en PERL, banco de datos MySQL para acceso por Internet y la clasificación NANDA-I 2007-2008. Se evaluó calidad técnica y usabilidad del software utilizando instrumentos específicos. La actividad propuesta en el software consiste en cuatro etapas, en las que el alumno establece valores de relación entre diagnósticos de enfermería, características de definición/factores de riesgo y casos clínicos. Los valores de relación determinados por el alumno son comparados con los de especialistas, generando puntajes de desempeño del alumno. En la evaluación, el software atendió satisfactoriamente las necesidades de calidad técnica y mostró que, en la percepción de los alumnos, trajo beneficios de aprendizaje, pudiendo transformarse en una herramienta educativa en la enseñanza del diagnóstico de enfermería.

Este artigo descreve o desenvolvimento e avaliação de um software que verifica a acurácia diagnóstica de alunos de enfermagem. O software foi baseado num modelo que utiliza conceitos da lógica fuzzy, em PERL, banco de dados MySQL para acesso pela internet e a classificação NANDA-I 2007-2008. Avaliou-se a qualidade técnica e a usabilidade do software utilizando instrumentos específicos. A atividade proposta no software possui quatro etapas nas quais o aluno estabelece valores de relação entre diagnósticos de enfermagem, características definidoras/fatores de risco e casos clínicos. Os valores de relação determinados pelo aluno são comparados aos de especialistas, gerando escores de desempenho para o aluno. Na avaliação, o software atendeu satisfatoriamente as necessidades de qualidade técnica e, segundo os alunos, trouxe benefícios ao aprendizado, podendo transformar-se em uma ferramenta educacional no ensino do diagnóstico de enfermagem.

Este artigo descreve o desenvolvimento e avaliação de um software que verifica a acurácia diagnóstica de alunos de enfermagem. O software foi baseado num modelo que utiliza conceitos da lógica fuzzy, em PERL, banco de dados MySQL para acesso pela internet e a classificação NANDA-I 2007-2008. Avaliou-se a qualidade técnica e a usabilidade do software utilizando instrumentos específicos. A atividade proposta no software possui quatro etapas nas quais o aluno estabelece valores de relação entre diagnósticos de enfermagem, características definidoras/fatores de risco e casos clínicos. Os valores de relação determinados pelo aluno são comparados aos de especialistas, gerando escores de desempenho para o aluno. Na avaliação, o software atendeu satisfatoriamente as necessidades de qualidade técnica e, segundo os alunos, trouxe benefícios ao aprendizado, podendo transformar-se em uma ferramenta educacional no ensino do diagnóstico de enfermagem.

This article describes the development and evaluation of software that verifies the accuracy of diagnoses made by nursing students. The software was based on a model that uses fuzzy logic concepts, including PERL, the MySQL database for Internet accessibility, and the NANDA-I 2007-2008 classification system. The software was evaluated in terms of its technical quality and usability through specific instruments. The activity proposed in the software involves four stages in which students establish the relationship values between nursing diagnoses, defining characteristics/risk factors and clinical cases. The relationship values determined by students are compared to those of specialists, generating performance scores for the students. In the evaluation, the software demonstrated satisfactory outcomes regarding the technical quality and, according to the students, helped in their learning and may become an educational tool to teach the process of nursing diagnosis.

Este artículo describe el desarrollo y evaluación de un software que verifica la exactitud diagnóstica de alumnos de enfermería. El software se basó en un modelo que utiliza conceptos de lógica fuzzy, en PERL, banco de datos MySQL para acceso por Internet y la clasificación NANDA-I 2007-2008. Se evaluó calidad técnica y usabilidad del software utilizando instrumentos específicos. La actividad propuesta en el software consiste en cuatro etapas, en las que el alumno establece valores de relación entre diagnósticos de enfermería, características de definición/factores de riesgo y casos clínicos. Los valores de relación determinados por el alumno son comparados con los de especialistas, generando puntajes de desempeño del alumno. En la evaluación, el software atendió satisfactoriamente las necesidades de calidad técnica y mostró que, en la percepción de los alumnos, trajo beneficios de aprendizaje, pudiendo transformarse en una herramienta educativa en la enseñanza del diagnóstico de enfermería.

INTRODUCTION: The discussion regarding the evolution of aging is almost as old as Darwinian Evolution Theory, but to date, it has remained one of biology's unresolved problems. One issue is how to reconcile natural selection, which is understood as a process that purges deleterious characteristics, with senescence, which seems to offer no advantages to the individual. METHOD: A computer simulation that illustrates an evolutionary mechanism for the development of senescence in populations is presented. DISCUSSION: In this article, we debate that two popular explanations for the existence of senescence, namely, (1) the removal of elders for the benefit of the species and (2) the progressive deterioration of the organic machine due to continuous use, are not correct. While human populations continue to age, it is important that the physician understands that senescence, here defined as the progressive impairment of an organism, does not necessarily accompany aging, which we here define as the mere passage of time. As such, we argue that certain processes that were originally assumed to be part of aging should have their status changed because they are actually diseases. Physicians often encounter situations that depend on a better understanding of what limitations senescence imposes on most living species. The concepts of aging (the unavoidable passage of time), senescence (progressive physiologic impairment), and senility (the pathological development of diseases), are discussed.