Analysis of ineffective breathing pattern and impaired spontaneous ventilation of adults with oxygen therapy

ABSTRACT Objective: to analyze the manifestation of the defining characteristics of the nursing diagnoses of ineffective breathing pattern and impaired spontaneous ventilation, of the NANDA International and the defining characteristics identified in the literature for the concept of “ventilation” in adult patients hospitalized in an intensive care unit with use of oxygen therapy. Method: clinical diagnostic validation study, conducted with 626 patients in intensive care using oxygen therapy, in three different modalities. Multiple correspondence analysis was used to verify the discriminative capacity of the defining characteristics and latent class analysis to determine the diagnostic accuracy of them, based on the severity level defined by the ventilatory mode used. Results: in the multiple correspondence analysis, it was demonstrated that the majority of the defining characteristics presented low discriminative capacity and low percentage of explained variance for the two dimensions (diagnoses). Latent class models, separately adjusted for the two diagnoses, presented a worse fit, with sharing of some defining characteristics. Models adjusted by level of severity (ventilation mode) presented better fit and structure of the component defining characteristics. Conclusion: clinical evidence obtained in the present study seems to demonstrate that the set of defining characteristics of the two nursing diagnoses studied fit better in a single construct.

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Effectiveness of mass treatment of Schistosoma mansoni infection in socially vulnerable areas of a state in northeastern Brazil, 2011–2014

Archives of Public Health ◽

10.1186/s13690-021-00549-9 ◽

2021 ◽

Vol 79 (1) ◽

Author(s):

Flávia Silvestre Outtes Wanderley ◽

Ulisses Montarroyos ◽

Cristine Bonfim ◽

Carolina Cunha-Correia

Keyword(s):

Schistosoma Mansoni ◽

Correspondence Analysis ◽

Social Vulnerability ◽

Multiple Correspondence Analysis ◽

Vulnerability Index ◽

Two Dimensions ◽

Northeastern Brazil ◽

Mass Treatment ◽

Social Vulnerability Index ◽

Treatment Information

Abstract Background To assess the effectiveness of mass treatment of Schistosoma mansoni infection in socially vulnerable endemic areas in northeastern Brazil. Method An ecological study was conducted, in which 118 localities in 30 municipalities in the state of Pernambuco were screened before 2011 and in 2014 (after mass treatment). Information on the endemic baseline index, mass treatment coverage, socio-environmental conditions and social vulnerability index were used in the multiple correspondence analysis. One hundred fourteen thousand nine hundred eighty-seven people in 118 locations were examined. Results The first two dimensions of the multiple correspondence analysis represented 55.3% of the variability between locations. The human capital component of the social vulnerability index showed an association with the baseline endemicity index. There was a significant reduction in positivity for schistosomes. For two rounds, for every extra 1% of initial endemicity index, the fixed effect of 13.62% increased by 0.0003%, achieving at most 15.94%. Conclusions The mass treatment intervention helped to reduce transmission of schistosomiasis in areas of high endemicity. Thus, it can be recommended that application of mass treatment should be accompanied by other control actions, such as basic sanitation, monitoring of intermediate vectors and case surveillance.

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Complication patterns in patients undergoing venoarterial extracorporeal membrane oxygenation in intensive care unit: Multiple correspondence analysis and hierarchical ascendant classification

PLoS ONE ◽

10.1371/journal.pone.0203643 ◽

2018 ◽

Vol 13 (9) ◽

pp. e0203643 ◽

Cited By ~ 1

Author(s):

Jérôme Allyn ◽

Cyril Ferdynus ◽

Hugo Lo Pinto ◽

Bruno Bouchet ◽

Romain Persichini ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Extracorporeal Membrane Oxygenation ◽

Correspondence Analysis ◽

Multiple Correspondence Analysis ◽

Membrane Oxygenation ◽

Venoarterial Extracorporeal Membrane Oxygenation

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Conceptual validation of the defining characteristics of respiratory nursing diagnoses in neonates

Acta Paulista de Enfermagem ◽

10.1590/1982-0194201400015 ◽

2014 ◽

Vol 27 (1) ◽

pp. 76-85 ◽

Cited By ~ 10

Author(s):

Marta José Avena ◽

Mavilde da Luz Gonçalves Pedreira ◽

Maria Gaby Rivero de Gutiérrez

Keyword(s):

Gas Exchange ◽

Breathing Pattern ◽

Spontaneous Ventilation ◽

Methodological Study ◽

Consensus Analysis ◽

Specialist Nurses ◽

High Level ◽

Nursing Professionals ◽

Nursing Diagnoses

OBJECTIVE: To develop and validate conceptual and operational definitions for the defining characteristics of the respiratory nursing diagnoses, ineffective breathing pattern, impaired gas exchange and impaired spontaneous ventilation, in newborns.METHODS: This was a methodological study of conceptual validation of the defining characteristics of three respiratory nursing diagnoses, by consensus analysis of a committee of five specialist nurses, and then a group of five non-nursing professionals, using the Delphi technique.RESULTS: After two rounds of evaluation, consensus was obtained that was equal to or greater than 80% on all of the definitions, which were then considered validated.CONCLUSION: The definitions developed for the defining characteristics of three nursing diagnoses were validated with a high level of consensus.

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Who Gets the Last Bed? A Discrete-Choice Experiment Examining General Population Preferences for Intensive Care Bed Prioritization in a Pandemic

Medical Decision Making ◽

10.1177/0272989x21996615 ◽

2021 ◽

pp. 0272989X2199661

Author(s):

Amelia E. Street ◽

Deborah J. Street ◽

Gordon M. Flynn

Keyword(s):

Decision Making ◽

Intensive Care ◽

General Population ◽

Discrete Choice Experiment ◽

Discrete Choice ◽

Choice Experiment ◽

Latent Class ◽

Latent Class Model ◽

Latent Class Models ◽

Bed Allocation

Objective To explore the key patient attributes important to members of the Australian general population when prioritizing patients for the final intensive care unit (ICU) bed in a pandemic over-capacity scenario. Methods A discrete-choice experiment administered online asked respondents ( N = 306) to imagine the COVID-19 caseload had surged and that they were lay members of a panel tasked to allocate the final ICU bed. They had to decide which patient was more deserving for each of 14 patient pairs. Patients were characterized by 5 attributes: age, occupation, caregiver status, health prior to being infected, and prognosis. Respondents were randomly allocated to one of 7 sets of 14 pairs. Multinomial, mixed logit, and latent class models were used to model the observed choice behavior. Results A latent class model with 3 classes was found to be the most informative. Two classes valued active decision making and were slightly more likely to choose patients with caregiving responsibilities over those without. One of these classes valued prognosis most strongly, with a decreasing probability of bed allocation for those 65 y and older. The other valued both prognosis and age highly, with decreasing probability of bed allocation for those 45 y and older and a slight preference in favor of frontline health care workers. The third class preferred more random decision-making strategies. Conclusions For two-thirds of those sampled, prognosis, age, and caregiving responsibilities were the important features when making allocation decisions, although the emphasis varies. The remainder appeared to choose randomly.

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Overview of attacks against civilian infrastructure during the Syrian civil war, 2012–2018

BMJ Global Health ◽

10.1136/bmjgh-2021-006384 ◽

2021 ◽

Vol 6 (10) ◽

pp. e006384

Author(s):

Evan Muzzall ◽

Brian Perlman ◽

Leonard S Rubenstein ◽

Rohini J Haar

Keyword(s):

Human Rights ◽

Civil War ◽

Correspondence Analysis ◽

Multiple Correspondence Analysis ◽

Two Dimensions ◽

Valuable Data ◽

Syrian Civil War ◽

Attack Data ◽

Syrian Conflict ◽

Cosine Distance

BackgroundHundreds of thousands of people have been killed during the Syrian civil war and millions more displaced along with an unconscionable amount of destroyed civilian infrastructure.MethodsWe aggregate attack data from Airwars, Physicians for Human Rights and the Safeguarding Health in Conflict Coalition/Insecurity Insight to provide a summary of attacks against civilian infrastructure during the years 2012–2018. Specifically, we explore relationships between date of attack, governorate, perpetrator and weapon for 2689 attacks against five civilian infrastructure classes: healthcare, private, public, school and unknown. Multiple correspondence analysis (MCA) via squared cosine distance, k-means clustering of the MCA row coordinates, binomial lasso classification and Cramer’s V coefficients are used to produce and investigate these correlations.ResultsFrequencies and proportions of attacks against the civilian infrastructure classes by year, governorate, perpetrator and weapon are presented. MCA results identify variation along the first two dimensions for the variables year, governorate, perpetrator and healthcare infrastructure in four topics of interest: (1) Syrian government attacks against healthcare infrastructure, (2) US-led Coalition offensives in Raqqa in 2017, (3) Russian violence in Aleppo in 2016 and (4) airstrikes on non-healthcare infrastructure. These topics of interest are supported by results of the k-means clustering, binomial lasso classification and Cramer’s V coefficients.DiscussionFindings suggest that violence against healthcare infrastructure correlates strongly with specific perpetrators. We hope that the results of this study provide researchers with valuable data and insights that can be used in future analyses to better understand the Syrian conflict.

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Psicodinamiche di convivenza nel gruppo di lavoro: un'indagine esplorativa

RISORSA UOMO ◽

10.3280/ru2009-004009 ◽

2009 ◽

pp. 459-474

Author(s):

Fabrizio Scrima ◽

Franco Di Maria

Keyword(s):

Organizational Commitment ◽

Professional Identity ◽

Correspondence Analysis ◽

Work Groups ◽

Multiple Correspondence Analysis ◽

Work Group ◽

Two Dimensions ◽

Group Efficacy ◽

Trust And Power ◽

Analysis Point

- This work is focused on the study of psychodynamics of cohabitation in work groups, organizations and institutions. The generic aim is to explore the relations between organizational feelings and work group efficacy. The research has been carried out with a group of 120 Sicilian workers. In the present study we considered organizational commitment, justice, trust and power feeling. The multiple correspondence analysis point out two dimensions called: Collusion/Collusion Failed and Adhesive Professional Identity/Repulsive Professional Identity. The results point out relations between middle scores of organizational commitment, trust and justice and the work group efficacy.

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Developmental Measurement of Mental Attention

International Journal of Behavioral Development ◽

10.1177/016502549401700110 ◽

1994 ◽

Vol 17 (1) ◽

pp. 161-200 ◽

Cited By ~ 66

Author(s):

Juan Pascual-Leone ◽

Raymond Baillargeon

Keyword(s):

Latent Class ◽

Latent Class Models ◽

Categorical Data Analysis ◽

Test Items ◽

Mental Demand ◽

Mental Attention ◽

Constructivist Model ◽

Discrete Manner ◽

Analysis System ◽

Data Analysis System

A dialectical constructivist model of mental attention ("effort") and of working memory is briefly presented, and used to explicate subjects' processing in misleading test items. We illustrate with task analyses of the Figural Intersections Test (FIT). We semantically derive a set of 10 Theoretical Structural Predictions (TSP) that stipulate relations between mental attentional resources (mental-power: Mp) and the systematically varied mental demand of items (mental-demand: Md), as they jointly codetermine probable performance (conditional probabilities of passing and failing). These predictions are evaluated on first approximation using a known family of ordered Latent Class models, all probabilistic versions of Guttman's unidimensional scale. Parameters of these models were estimated using the Categorical Data Analysis System of Eliason (1990). Main results are: (1) Data fit Lazarsfeld's latent-distance model, providing initial support for our 10 predictions; (2) The M-power of children (latent Mp-classes) when assessed behaviourally may increase with age in a discrete manner, and have the potential to generate interval scales of measurement; (3) In the light of our results what statisticians often consider "error of measurement" appears (in part) to be signal, not noise: The organismic signal of misleading (Y-) processes that in their dialectical (trade-off) interaction with success-producing (X-) processes generate performance.

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Multiple-correspondence analysis optical microscopy for determination of starch granules

Journal of Chemometrics ◽

10.1002/cem.1180060307 ◽

1992 ◽

Vol 6 (3) ◽

pp. 163-175 ◽

Cited By ~ 5

Author(s):

M. F. Devaux ◽

E. M. Qannari ◽

D. J. Gallant

Keyword(s):

Optical Microscopy ◽

Correspondence Analysis ◽

Multiple Correspondence Analysis ◽

Starch Granules

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Informed Geoheritage Conservation: Determinant Analysis Based on Bibliometric and Sustainability Indicators Using Ordination Techniques

Land ◽

10.3390/land10050539 ◽

2021 ◽

Vol 10 (5) ◽

pp. 539

Author(s):

Boglárka Németh ◽

Károly Németh ◽

Jon N. Procter

Keyword(s):

Correspondence Analysis ◽

Conservation Planning ◽

Earth Science ◽

Multiple Correspondence Analysis ◽

Contributing Factors ◽

Usual Model ◽

Development Indicators ◽

Individual Variables ◽

Business As Usual ◽

World Development

Ordination methods are used in ecological multivariate statistics in order to reduce the number of dimensions and arrange individual variables along environmental variables. Geoheritage designation is a new challenge for conservation planning. Quantification of geoheritage to date is used explicitly for site selection, however, it also carries significant potential to be one of the indicators of sustainable development that is delivered through geosystem services. In order to achieve such a dominant position, geoheritage needs to be included in the business as usual model of conservation planning. Questions about the quantification process that have typically been addressed in geoheritage studies can be answered more directly by their relationships to world development indicators. We aim to relate the major informative geoheritage practices to underlying trends of successful geoheritage implementation through statistical analysis of countries with the highest trackable geoheritage interest. Correspondence analysis (CA) was used to obtain information on how certain indicators bundle together. Multiple correspondence analysis (MCA) was used to detect sets of factors to determine positive geoheritage conservation outcomes. The analysis resulted in ordination diagrams that visualize correlations among determinant variables translated to links between socio-economic background and geoheritage conservation outcomes. Indicators derived from geoheritage-related academic activity and world development metrics show a shift from significant Earth science output toward disciplines of strong international agreement such as tourism, sustainability and biodiversity. Identifying contributing factors to conservation-related decisions helps experts to tailor their proposals for required evidence-based quantification reports and reinforce the scientific significance of geoheritage.

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