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Padrão da dor de pacientes com úlceras de perna

2017· article· pt· W2600451134 on OpenAlexaboutno aff
Isabelle Andrade Silveira, Beatriz Guitton Renaud Baptista de Oliveira, Aretha Pereira de Oliveira, Nelson Carvalho Andrade

Bibliographic record

VenueRevista de Enfermagem UFPE on line · 2017
Typearticle
Languagept
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsPerna pernaMedicineGeology

Abstract

fetched live from OpenAlex

ABSTRACT Objective : to evaluate the pain pattern of patients with leg ulcers. Method : it is an exploratory, descriptive, cross-sectional study with a quantitative approach performed in a university hospital with a sample of 40 patients. Data collection was performed by an instrument composed of patient identification, wound characteristics and pain evaluation (McGill questionnaire and Numerical Pain Scale). The data were organized by spreadsheets in the Microsoft Excel application, analyzed by descriptive statistics, organized in tables. Results : the pain was characterized as pinched, pricked, throbbing, needled, nauseous and burning, with a moderate to strong intensity pattern. It appears at dusk, worsens in orthostatic position, requiring medication and elevation of limbs for control. Conclusion : the chosen words demonstrated that the pain has nociceptive and neuropathic character. It is important to evaluate the pain multidimensionally to guide the nursing interventions aiming at the effective control of pain. Descriptors : Leg Ulcer; Pain; Nursing. RESUMO Objetivo : avaliar o padrao da dor de pacientes com ulceras de perna. Metodo : estudo exploratorio, descritivo, transversal, de abordagem quantitativa, realizado em um hospital universitario com amostra de 40 pacientes. A coleta de dados foi realizada por um instrumento composto pela identificacao do paciente, caracteristicas da ferida e avaliacao da dor (questionario de McGill e Escala Numerica da Dor). Os dados foram organizados por meio de digitacao em planilha eletronica do aplicativo Microsoft Excel, analisados pela estatistica descritiva e dispostos em tabelas. Resultados : a dor foi caracterizada como fisgada, pontada, latejante, agulhada, enjoada e queimacao, com padrao de intensidade moderada a forte. Aparece ao anoitecer, piora em posicao ortostatica, necessita de medicacao e elevacao dos membros para controle. Conclusao : as palavras escolhidas demonstraram que a dor tem carater nociceptivo e neuropatico. Ressalta-se a importância de avaliar a dor multidimensionalmente a fim de orientar as intervencoes de enfermagem visando ao controle efetivo da dor. Descritores : Ulcera da Perna; Dor; Enfermagem. RESUMEN Objetivo : evaluar el estandar del dolor en pacientes con ulceras de pierna . Metodo : estudio exploratorio , descriptivo, transversal, de enfoque cuantitativo, realizado en un hospital universitario con muestra de 40 pacientes. La recoleccion de datos fue realizada por un instrumento compuesto por la identificacion del paciente, caracteristicas de la herida y evaluacion del dolor (cuestionario de McGill y Escala Numerica del Dolor). Los datos fueron organizados por medio de digitacion en planilla electronica del aplicativo Microsoft Excel, analizados por la estadistica descriptiva, dispuestas en tablas. Resultados : el dolor se caracterizo como punzada, punzada, palpitante, pinchazo, nauseas y ardor con un patron de fuerte a moderada intensidad. Aparece al anochecer, empeora en posicion ortostatica, necesita de medicacion y elevacion de los miembros para control. Conclusion : las palabras escogidas demostraron que el dolor tiene caracter nociceptivo y neuropatico. Se resalta la importancia de evaluar el dolor multi-dimensionalmente para orientar las intervenciones de enfermeria visando el control efectivo del dolor. Descriptores : Ulcera de la Pierna; Dolor; Enfermeria. Normal 0 21 false false false PT-BR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Tabela normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri,sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Times New Roman; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Times New Roman; mso-bidi-theme-font:minor-bidi;}

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.077
GPT teacher head0.379
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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