The nurse COVID and historical epidemics literature repository: Development, description, and summary

Loresto, Figaro; Nunez, Lisa; Tarasenko, Lindsey; Pierre, Marie St; Oja, Kenneth; Mueller, Mallory; Switzer, Bailey; Marroquin, Katherine; Kleiner, Catherine

doi:10.1016/j.outlook.2020.12.017

Cited by 3 publications

(3 citation statements)

References 30 publications

(37 reference statements)

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“…É importante destacar que potenciais restrições de tempo e prioridades concorrentes são barreiras para a capacidade dos enfermeiros de fazer uma coleta robusta de literatura e avaliações de evidências para implementar em sua assistência (Loresto Jr et al 2021). Ao decorrer deste estudo não foi detectado um protocolo ou diretriz específica da categoria de enfermagem que orientem sua atuação em vigilância epidemiologia no enfrentamento da Covid-19.…”

Section: Resultsunclassified

Desafios da enfermagem em epidemiologia da Covid-19: um estudo bibliométrico

Assunção

Sá

Valois

et al. 2021

RSD

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Considerando a importância dos profissionais de enfermagem na organização e gestão do cuidado, objetivou-se com este estudo mapear a produção científica mundial em uma base de dados sobre estudos que relatam possíveis desafios da enfermagem atuante em epidemiologia no enfrentamento da Covid-19, tendo por base o protagonismo de autores brasileiros. Estudo descritivo, do tipo bibliométrico extraído da base Web of Science, com banco de dados organizado no Microsoft Excel 2019 e análise por meio do software VOSviewer® (versão 1.6.16). Foram encontrados 231 artigos (78, 5%) originais e 63 (21,5%) artigos de revisão com predomínio dos United State of América (27,8%). Os periódicos compõem o estrado A da Capes, em quase sua totalidade. A produção brasileira da temática em questão quando comparada às publicações de outros países mostrou-se insuficiente para o atendimento das demandas atuais das atividades de enfermagem em epidemiologia. Em síntese, um relevante volume de publicações que contemplam o aspecto epidemiológico centralizado nos processos assistenciais do enfermeiro e baixo volume sobre ações específicas de atuação da enfermagem em epidemiologia.

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Section: Resultsunclassified

Desafios da enfermagem em epidemiologia da Covid-19: um estudo bibliométrico

Assunção

Sá

Valois

et al. 2021

RSD

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“…This method minimizes the human biases that sometimes emerge in qualitative research due to its inherent subjectivity (Valdez et al., 2018). Such machine‐driven approaches have been validated in varied sectors, from the COVID‐19 research to healthcare trends, and have showcased their versatility with diverse text sources, from scholarly articles to social media content (Hong & Lee, 2021; Loresto et al., 2021; Xavier & Lambert, 2022). In light of these advantages and in alignment with our aim to extensively explore trends in child infectious disease prevention, this study has employed these advanced methodologies.…”

Section: Introductionmentioning

confidence: 99%

Understanding global research trends in the control and prevention of infectious diseases for children: Insights from text mining and topic modeling

Oh,

Lee,

Heo

et al. 2024

J of Nursing Scholarship

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IntroductionThe emergence of novel infectious diseases has amplified the urgent need for effective prevention strategies, especially ones targeting vulnerable populations such as children. Factors such as the high incidence of both emerging and existing infectious diseases, delays in vaccinations, and routine exposure in communal settings heighten children's susceptibility to infections. Despite this pressing need, a comprehensive exploration of research trends in this domain remains lacking. This study aims to address this gap by employing text mining and modeling techniques to conduct a comprehensive analysis of the existing literature, thereby identifying emerging research trends in infectious disease prevention among children.MethodsA cross‐sectional text mining approach was adopted, focusing on journal articles published between January 1, 2003, and August 31, 2022. These articles, related to infectious disease prevention in children, were sourced from databases such as PubMed, CINAHL, MEDLINE (Ovid), Scopus, and Korean RISS. The data underwent preprocessing using the Natural Language Toolkit (NLTK) in Python, with a semantic network analysis and topic modeling conducted using R software.ResultsThe final dataset comprised 509 journal articles extracted from multiple databases. The study began with a word frequency analysis to pinpoint relevant themes, subsequently visualized through a word cloud. Dominant terms encompassed “vaccination,” “adolescent,” “infant,” “parent,” “family,” “school,” “country,” “household,” “community,” “HIV,” “HPV,” “COVID‐19,” “influenza,” and “diarrhea.” The semantic analysis identified “age” as a key term across infection, control, and intervention discussions. Notably, the relationship between “hand” and “handwashing” was prominent, especially in educational contexts linked with “school” and “absence.” Latent Dirichlet Allocation (LDA) topic modeling further delineated seven topics related to infectious disease prevention for children, encompassing (1) educational programs, (2) vaccination efforts, (3) family‐level responses, (4) care for immunocompromised individuals, (5) country‐specific responses, (6) school‐based strategies, and (7) persistent threats from established infectious diseases.ConclusionThe study emphasizes the indispensable role of personalized interventions tailored for various child demographics, highlighting the pivotal contributions of both parental guidance and school participation.Clinical RelevanceThe study provides insights into the complex public health challenges associated with preventing and managing infectious diseases in children. The insights derived could inform the formulation of evidence‐based public health policies, steering practical interventions and fostering interdisciplinary synergy for holistic prevention strategies.

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“…There is qualitative evidence describing why nurses report to duty during a pandemic, the psychosocial impact of working during a pandemic and the implications of the hero narrative. Throughout the past year, several repositories of frontline healthcare worker stories have been created, but to the best of our knowledge, this is the first to report a systematic, qualitative synthesis of the stories submitted to an open‐ended prompt by nurses at any level or role in a U.S. national healthcare system (American Hospital Association, 2021 ; Bennett et al, 2020 ; Loresto Jr et al, 2021 ; National Institutes of Health, 2020 ; Xu et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Pandemic perspectives from the frontline—The nursing stories

Polinard

Ricks

Duke

et al. 2022

Journal of Advanced Nursing

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Aim: To describe the experiences of registered nurses working in a US healthcare system during the COVID-19 pandemic.Design: This qualitative thematic analysis study is a secondary analysis of stories submitted by nurses to a repository established by the parent study. Methods: Registered nurses working in various roles in a healthcare system submitted stories (N = 45) to open-ended prompts via an online repository between June 2020 and February 2021. A team of three nurse scientists coded the stories using Dedoose software. Initial codes were then reviewed by the team to synthesize initial coding into themes. The COREQ checklist was used to ensure research reporting guidelines were met. Results: Thematic analysis revealed three themes in a global theme of COVID-19 pandemic-related personal and professional evolution: (1) The art and science of pandemic nursing, (2) Persisting despite challenges; and (3) Learning as we went. Each of the three organizing themes were supported by basic themes.Conclusions: Identified themes affirm some of nursing's long-standing core values, such as the central role of human connectedness in restoring health, but findings also reflect new evolutionary processes of moral identity formation that occurred among nurses and the nursing profession during the COVID-19 pandemic.Impact: Findings from this study describe the processes by which nurses' moral identity evolved during a segment of the COVID-19 pandemic. Collectively, these evolutions represent important shifts in the nursing profession. Using findings from this study, nurse educators, nurse managers and healthcare administrators will be able to implement effective, sustainable policies and processes that meet the needs of both the community and the workforce.No Patient or Public Contribution: This study was designed to capture the experiences of nurses employed by one healthcare organization. However, it was not conducted using input or suggestions from the public or the patient population served by the organization.

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The nurse COVID and historical epidemics literature repository: Development, description, and summary

Cited by 3 publications

References 30 publications

Desafios da enfermagem em epidemiologia da Covid-19: um estudo bibliométrico

Desafios da enfermagem em epidemiologia da Covid-19: um estudo bibliométrico

Understanding global research trends in the control and prevention of infectious diseases for children: Insights from text mining and topic modeling

Pandemic perspectives from the frontline—The nursing stories

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