COVID-19 pandemic and nursing week: analysis from software Iramuteq

In recent years, the increase in textual data production has meant that researchers require faster text analysis techniques and software to reliably produce knowledge for the scientific-nursing community. Automatic Text Data Analysis opens the frontiers to a new research area combining the depth of analysis typical of qualitative research and the stability of measurements required for quantitative studies. Thanks to the statistical-computational approach, it proposes to study more or less extensive written texts produced in natural language to reveal lexical and linguistic worlds and extract useful and meaningful information for researchers. This article aims to provide an overview of this methodology, which has been rarely used in the nursing community to date.

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New frontiers for qualitative textual data analysis: a multimethod statistical approach

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Durante

et al. 2023

European Journal of Cardiovascular Nursing

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Agreement with COVID-19 disinformation among Portuguese-speaking older adults: an international study

Oliveira

Araújo

et al. 2023

Rev. Bras. Enferm.

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Objectives: to assess agreement with COVID-19 disinformation among Portuguese-speaking individuals aged 50 years or older. Methods: a descriptive and analytical study involving 1,214 older adults born in Portuguese-speaking countries. Data collection occurred through online information mining to recognize COVID-19 and disinformation content, and the application of a structured questionnaire. Results: agreement with disinformation content was 65.2%. Residing outside Brazil is a protective factor for agreement with disinformation content, and those who believe in the truthfulness of the information sources they receive were 31% more likely to agree with disinformation content. Conclusions: there is a high prevalence of disinformation among the older population in two Portuguese-speaking countries, which should raise the attention of healthcare professionals and guide coping strategies.

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Concordância com conteúdos de desinformação relacionados à COVID-19 em idosos falantes do português: estudo internacional

Oliveira

Araújo

et al. 2023

Rev. Bras. Enferm.

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RESUMO Objetivos: avaliar a concordância com conteúdos de desinformação relacionados à COVID-19 entre pessoas com 50 anos ou mais de idade, falantes do português. Métodos: estudo descritivo e analítico com 1.214 idosos nascidos em países de língua portuguesa. A coleta de dados ocorreu por meio da mineração de informações online para reconhecimento de conteúdos de desinformação e COVID-19, e aplicação de questionário estruturado. Resultados: a concordância com conteúdos de desinformação foi de 65,2%. Residir fora do Brasil é um fator de proteção para a concordância com conteúdos de desinformação, e aqueles que acreditam na veracidade das fontes de informação que recebem tiveram 31% mais probabilidade de concordar com conteúdos de desinformação. Conclusões: há alta prevalência de desinformação entre a população idosa em dois países de língua portuguesa, o que deve despertar a atenção dos profissionais da saúde e enfermagem, e orientar estratégias de enfrentamento.

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COVID-19 pandemic and nursing week: analysis from software Iramuteq

Cited by 3 publications

References 13 publications

New frontiers for qualitative textual data analysis: a multimethod statistical approach

New frontiers for qualitative textual data analysis: a multimethod statistical approach

Agreement with COVID-19 disinformation among Portuguese-speaking older adults: an international study

Concordância com conteúdos de desinformação relacionados à COVID-19 em idosos falantes do português: estudo internacional

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