Cross‐mapping medical records to NANDA‐I to identify nursing diagnoses in a vulnerable population
ABSTRACT Purpose To assess the association between vulnerable populations and nursing care needs, using NANDA‐I diagnostics, in the population of the Canary Islands, Spain. Methods Nursing social epidemiology study. Cross Mapping of Medical Records to NANDA‐I to Identify Nursing Diagnoses in a Popul...
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| Veröffentlicht in: | International journal of nursing knowledge 2023-01, Vol.34 (1), p.42-54 |
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| creator | Fernández‐Gutiérrez, Domingo Ángel Brito‐Brito, Pedro Ruymán Darias‐Curvo, Sara Cabrera‐de‐León, Antonio Martínez‐Alberto, Carlos Enrique Aguirre‐Jaime, Armando |
| description | ABSTRACT
Purpose
To assess the association between vulnerable populations and nursing care needs, using NANDA‐I diagnostics, in the population of the Canary Islands, Spain.
Methods
Nursing social epidemiology study. Cross Mapping of Medical Records to NANDA‐I to Identify Nursing Diagnoses in a Population usinga medical, epidemiological follow‐up study of a cohort of 7,190 people. The level of vulnerability of the participants was assigned, among those who were also assigned nursing diagnoses, using the “ICE index” to calculate the expected associations.
Findings
The most prevalent nursing diagnosis in our sample was Sedentary lifestyle (60.5%), followed by Ineffective health self‐management (33.8%) and Risk‐prone health behaviour (28.7%). Significant differences were found by sex, age group and social class, with the nursing diagnoses included in the study being more prevalent among the most socio‐economically disadvantaged social class.
Conclusions
: The cross‐mapping method is useful to generate diagnostic information in terms of care needs, using the NANDA‐I classification. The expected associations between high social vulnerability and care needs have been verified in a comprehensive and representative sample of the Canarian population (Spain).
Implications for nursing practice
From an epidemiological perspective, identifying nursing diagnoses at the population level allows us to find the most prevalent needs in the different community groups and to focus appropriate nursing interventions for their implementation and impact assessment.
Resumen
Objetivo
Evaluar la asociación entre las poblaciones vulnerables y las necesidades de cuidados de enfermería, utilizando la clasificación diagnóstica NANDA‐I, en la población de las Islas Canarias, España.
Métodos
Estudio de epidemiología social enfermera. Mapeo cruzado de registros médicos con la clasificación NANDA‐I para identificar los diagnósticos de enfermería en una población mediante un estudio de seguimiento médico y epidemiológico de una cohorte de 7.190 personas. Se asignó el nivel de vulnerabilidad de los participantes, entre los que también se asignaron diagnósticos de enfermería, utilizando el “índice REI” para calcular las asociaciones esperadas.
Resultados
El diagnóstico de enfermería más prevalente en nuestra muestra fue Estilo de vida sedentario (60,5%), seguido de Autogestión ineficaz de la salud (33,8%) y Tendencia a adoptar conductas de riesgo para la salud (28,7%). Se encontraron diferencias |
| doi_str_mv | 10.1111/2047-3095.12371 |
| format | Article |
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Purpose
To assess the association between vulnerable populations and nursing care needs, using NANDA‐I diagnostics, in the population of the Canary Islands, Spain.
Methods
Nursing social epidemiology study. Cross Mapping of Medical Records to NANDA‐I to Identify Nursing Diagnoses in a Population usinga medical, epidemiological follow‐up study of a cohort of 7,190 people. The level of vulnerability of the participants was assigned, among those who were also assigned nursing diagnoses, using the “ICE index” to calculate the expected associations.
Findings
The most prevalent nursing diagnosis in our sample was Sedentary lifestyle (60.5%), followed by Ineffective health self‐management (33.8%) and Risk‐prone health behaviour (28.7%). Significant differences were found by sex, age group and social class, with the nursing diagnoses included in the study being more prevalent among the most socio‐economically disadvantaged social class.
Conclusions
: The cross‐mapping method is useful to generate diagnostic information in terms of care needs, using the NANDA‐I classification. The expected associations between high social vulnerability and care needs have been verified in a comprehensive and representative sample of the Canarian population (Spain).
Implications for nursing practice
From an epidemiological perspective, identifying nursing diagnoses at the population level allows us to find the most prevalent needs in the different community groups and to focus appropriate nursing interventions for their implementation and impact assessment.
Resumen
Objetivo
Evaluar la asociación entre las poblaciones vulnerables y las necesidades de cuidados de enfermería, utilizando la clasificación diagnóstica NANDA‐I, en la población de las Islas Canarias, España.
Métodos
Estudio de epidemiología social enfermera. Mapeo cruzado de registros médicos con la clasificación NANDA‐I para identificar los diagnósticos de enfermería en una población mediante un estudio de seguimiento médico y epidemiológico de una cohorte de 7.190 personas. Se asignó el nivel de vulnerabilidad de los participantes, entre los que también se asignaron diagnósticos de enfermería, utilizando el “índice REI” para calcular las asociaciones esperadas.
Resultados
El diagnóstico de enfermería más prevalente en nuestra muestra fue Estilo de vida sedentario (60,5%), seguido de Autogestión ineficaz de la salud (33,8%) y Tendencia a adoptar conductas de riesgo para la salud (28,7%). Se encontraron diferencias significativas por sexo, grupo de edad y clase social, siendo los diagnósticos de enfermería incluidos en el estudio más prevalentes entre la clase social más desfavorecida socioeconómicamente.
Conclusiones
El método de mapeo cruzado es útil para generar información diagnóstica en términos de necesidades de cuidados, utilizando la clasificación NANDA‐I. Se han verificado las asociaciones esperadas entre alta vulnerabilidad social y necesidades de cuidados en una muestra amplia y representativa de la población canaria (España).
Implicaciones para la práctica enfermera
Desde una perspectiva epidemiológica, la identificación de los diagnósticos de enfermería a nivel poblacional permite encontrar las necesidades más prevalentes en los diferentes grupos de la comunidad y focalizar las intervenciones enfermeras adecuadas para su implementación y evaluación de impacto.</description><identifier>ISSN: 2047-3087</identifier><identifier>EISSN: 2047-3095</identifier><identifier>DOI: 10.1111/2047-3095.12371</identifier><identifier>PMID: 35451572</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Community organizations ; Cross‐mapping ; Epidemiology ; Follow-Up Studies ; Health behavior ; Humans ; Islands ; Mapping ; Medical diagnosis ; Medical Records ; Nursing ; Nursing care ; Nursing Diagnosis ; nursing epidemiology ; Original ; Professional practice ; Sedentary ; Social classes ; social determinants of health ; Social epidemiology ; Standardized Nursing Terminology ; Vulnerability ; Vulnerable Populations</subject><ispartof>International journal of nursing knowledge, 2023-01, Vol.34 (1), p.42-54</ispartof><rights>2022 The Authors. published by Wiley Periodicals LLC on behalf of NANDA International.</rights><rights>2022 The Authors. International Journal of Nursing Knowledge published by Wiley Periodicals LLC on behalf of NANDA International.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4281-979a5e62654cd3d1c8c35235eb602a6aa5ecb7f63f5640c4b12504fdf0dc2e8f3</citedby><cites>FETCH-LOGICAL-c4281-979a5e62654cd3d1c8c35235eb602a6aa5ecb7f63f5640c4b12504fdf0dc2e8f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F2047-3095.12371$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F2047-3095.12371$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,1411,27903,27904,30978,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35451572$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fernández‐Gutiérrez, Domingo Ángel</creatorcontrib><creatorcontrib>Brito‐Brito, Pedro Ruymán</creatorcontrib><creatorcontrib>Darias‐Curvo, Sara</creatorcontrib><creatorcontrib>Cabrera‐de‐León, Antonio</creatorcontrib><creatorcontrib>Martínez‐Alberto, Carlos Enrique</creatorcontrib><creatorcontrib>Aguirre‐Jaime, Armando</creatorcontrib><title>Cross‐mapping medical records to NANDA‐I to identify nursing diagnoses in a vulnerable population</title><title>International journal of nursing knowledge</title><addtitle>Int J Nurs Knowl</addtitle><description>ABSTRACT
Purpose
To assess the association between vulnerable populations and nursing care needs, using NANDA‐I diagnostics, in the population of the Canary Islands, Spain.
Methods
Nursing social epidemiology study. Cross Mapping of Medical Records to NANDA‐I to Identify Nursing Diagnoses in a Population usinga medical, epidemiological follow‐up study of a cohort of 7,190 people. The level of vulnerability of the participants was assigned, among those who were also assigned nursing diagnoses, using the “ICE index” to calculate the expected associations.
Findings
The most prevalent nursing diagnosis in our sample was Sedentary lifestyle (60.5%), followed by Ineffective health self‐management (33.8%) and Risk‐prone health behaviour (28.7%). Significant differences were found by sex, age group and social class, with the nursing diagnoses included in the study being more prevalent among the most socio‐economically disadvantaged social class.
Conclusions
: The cross‐mapping method is useful to generate diagnostic information in terms of care needs, using the NANDA‐I classification. The expected associations between high social vulnerability and care needs have been verified in a comprehensive and representative sample of the Canarian population (Spain).
Implications for nursing practice
From an epidemiological perspective, identifying nursing diagnoses at the population level allows us to find the most prevalent needs in the different community groups and to focus appropriate nursing interventions for their implementation and impact assessment.
Resumen
Objetivo
Evaluar la asociación entre las poblaciones vulnerables y las necesidades de cuidados de enfermería, utilizando la clasificación diagnóstica NANDA‐I, en la población de las Islas Canarias, España.
Métodos
Estudio de epidemiología social enfermera. Mapeo cruzado de registros médicos con la clasificación NANDA‐I para identificar los diagnósticos de enfermería en una población mediante un estudio de seguimiento médico y epidemiológico de una cohorte de 7.190 personas. Se asignó el nivel de vulnerabilidad de los participantes, entre los que también se asignaron diagnósticos de enfermería, utilizando el “índice REI” para calcular las asociaciones esperadas.
Resultados
El diagnóstico de enfermería más prevalente en nuestra muestra fue Estilo de vida sedentario (60,5%), seguido de Autogestión ineficaz de la salud (33,8%) y Tendencia a adoptar conductas de riesgo para la salud (28,7%). Se encontraron diferencias significativas por sexo, grupo de edad y clase social, siendo los diagnósticos de enfermería incluidos en el estudio más prevalentes entre la clase social más desfavorecida socioeconómicamente.
Conclusiones
El método de mapeo cruzado es útil para generar información diagnóstica en términos de necesidades de cuidados, utilizando la clasificación NANDA‐I. Se han verificado las asociaciones esperadas entre alta vulnerabilidad social y necesidades de cuidados en una muestra amplia y representativa de la población canaria (España).
Implicaciones para la práctica enfermera
Desde una perspectiva epidemiológica, la identificación de los diagnósticos de enfermería a nivel poblacional permite encontrar las necesidades más prevalentes en los diferentes grupos de la comunidad y focalizar las intervenciones enfermeras adecuadas para su implementación y evaluación de impacto.</description><subject>Community organizations</subject><subject>Cross‐mapping</subject><subject>Epidemiology</subject><subject>Follow-Up Studies</subject><subject>Health behavior</subject><subject>Humans</subject><subject>Islands</subject><subject>Mapping</subject><subject>Medical diagnosis</subject><subject>Medical Records</subject><subject>Nursing</subject><subject>Nursing care</subject><subject>Nursing Diagnosis</subject><subject>nursing epidemiology</subject><subject>Original</subject><subject>Professional practice</subject><subject>Sedentary</subject><subject>Social classes</subject><subject>social determinants of health</subject><subject>Social epidemiology</subject><subject>Standardized Nursing Terminology</subject><subject>Vulnerability</subject><subject>Vulnerable Populations</subject><issn>2047-3087</issn><issn>2047-3095</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkc9OGzEQxq2qVUGUc2_IEpdeAv7v3VMVhQJBKL3Qs-X1eoORYy92liq3PkKfkSfBS2hEuTAXezy_-TTjD4CvGJ3gEqcEMTmhqOYnmFCJP4D93cvH3b2Se-Aw5ztUQiIqq_oz2KOcccwl2Qd2lmLOj3_-rnTfu7CEK9s6oz1M1sTUZriOcDFdnE0LMh8T19qwdt0GhiHlsaF1ehlithm6ADV8GHywSTfewj72g9drF8MX8KnTPtvDl_MA_Dr_cTO7nFz_vJjPptcTw0iFJ7WsNbeCCM5MS1tsKkM5odw2AhEtdCmaRnaCdlwwZFiDCUesazvUGmKrjh6A71vdfmjKIqaMmrRXfXIrnTYqaqf-rwR3q5bxQWGEKkaruih8e1FI8X6wea1WLhvrvQ42DlmNsxFZMS4KevwGvYtDCmU_RaTAuK5FTQp1uqXM-NHJdrtpMFKjjWo0So2mqWcbS8fR6yV2_D_TCiC2wG_n7eY9PTW_WtxslZ8AFL-p7A</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Fernández‐Gutiérrez, Domingo Ángel</creator><creator>Brito‐Brito, Pedro Ruymán</creator><creator>Darias‐Curvo, Sara</creator><creator>Cabrera‐de‐León, Antonio</creator><creator>Martínez‐Alberto, Carlos Enrique</creator><creator>Aguirre‐Jaime, Armando</creator><general>Blackwell Publishing Ltd</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>4T-</scope><scope>7QJ</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202301</creationdate><title>Cross‐mapping medical records to NANDA‐I to identify nursing diagnoses in a vulnerable population</title><author>Fernández‐Gutiérrez, Domingo Ángel ; Brito‐Brito, Pedro Ruymán ; Darias‐Curvo, Sara ; Cabrera‐de‐León, Antonio ; Martínez‐Alberto, Carlos Enrique ; Aguirre‐Jaime, Armando</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4281-979a5e62654cd3d1c8c35235eb602a6aa5ecb7f63f5640c4b12504fdf0dc2e8f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Community organizations</topic><topic>Cross‐mapping</topic><topic>Epidemiology</topic><topic>Follow-Up Studies</topic><topic>Health behavior</topic><topic>Humans</topic><topic>Islands</topic><topic>Mapping</topic><topic>Medical diagnosis</topic><topic>Medical Records</topic><topic>Nursing</topic><topic>Nursing care</topic><topic>Nursing Diagnosis</topic><topic>nursing epidemiology</topic><topic>Original</topic><topic>Professional practice</topic><topic>Sedentary</topic><topic>Social classes</topic><topic>social determinants of health</topic><topic>Social epidemiology</topic><topic>Standardized Nursing Terminology</topic><topic>Vulnerability</topic><topic>Vulnerable Populations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fernández‐Gutiérrez, Domingo Ángel</creatorcontrib><creatorcontrib>Brito‐Brito, Pedro Ruymán</creatorcontrib><creatorcontrib>Darias‐Curvo, Sara</creatorcontrib><creatorcontrib>Cabrera‐de‐León, Antonio</creatorcontrib><creatorcontrib>Martínez‐Alberto, Carlos Enrique</creatorcontrib><creatorcontrib>Aguirre‐Jaime, Armando</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of nursing knowledge</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fernández‐Gutiérrez, Domingo Ángel</au><au>Brito‐Brito, Pedro Ruymán</au><au>Darias‐Curvo, Sara</au><au>Cabrera‐de‐León, Antonio</au><au>Martínez‐Alberto, Carlos Enrique</au><au>Aguirre‐Jaime, Armando</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cross‐mapping medical records to NANDA‐I to identify nursing diagnoses in a vulnerable population</atitle><jtitle>International journal of nursing knowledge</jtitle><addtitle>Int J Nurs Knowl</addtitle><date>2023-01</date><risdate>2023</risdate><volume>34</volume><issue>1</issue><spage>42</spage><epage>54</epage><pages>42-54</pages><issn>2047-3087</issn><eissn>2047-3095</eissn><abstract>ABSTRACT
Purpose
To assess the association between vulnerable populations and nursing care needs, using NANDA‐I diagnostics, in the population of the Canary Islands, Spain.
Methods
Nursing social epidemiology study. Cross Mapping of Medical Records to NANDA‐I to Identify Nursing Diagnoses in a Population usinga medical, epidemiological follow‐up study of a cohort of 7,190 people. The level of vulnerability of the participants was assigned, among those who were also assigned nursing diagnoses, using the “ICE index” to calculate the expected associations.
Findings
The most prevalent nursing diagnosis in our sample was Sedentary lifestyle (60.5%), followed by Ineffective health self‐management (33.8%) and Risk‐prone health behaviour (28.7%). Significant differences were found by sex, age group and social class, with the nursing diagnoses included in the study being more prevalent among the most socio‐economically disadvantaged social class.
Conclusions
: The cross‐mapping method is useful to generate diagnostic information in terms of care needs, using the NANDA‐I classification. The expected associations between high social vulnerability and care needs have been verified in a comprehensive and representative sample of the Canarian population (Spain).
Implications for nursing practice
From an epidemiological perspective, identifying nursing diagnoses at the population level allows us to find the most prevalent needs in the different community groups and to focus appropriate nursing interventions for their implementation and impact assessment.
Resumen
Objetivo
Evaluar la asociación entre las poblaciones vulnerables y las necesidades de cuidados de enfermería, utilizando la clasificación diagnóstica NANDA‐I, en la población de las Islas Canarias, España.
Métodos
Estudio de epidemiología social enfermera. Mapeo cruzado de registros médicos con la clasificación NANDA‐I para identificar los diagnósticos de enfermería en una población mediante un estudio de seguimiento médico y epidemiológico de una cohorte de 7.190 personas. Se asignó el nivel de vulnerabilidad de los participantes, entre los que también se asignaron diagnósticos de enfermería, utilizando el “índice REI” para calcular las asociaciones esperadas.
Resultados
El diagnóstico de enfermería más prevalente en nuestra muestra fue Estilo de vida sedentario (60,5%), seguido de Autogestión ineficaz de la salud (33,8%) y Tendencia a adoptar conductas de riesgo para la salud (28,7%). Se encontraron diferencias significativas por sexo, grupo de edad y clase social, siendo los diagnósticos de enfermería incluidos en el estudio más prevalentes entre la clase social más desfavorecida socioeconómicamente.
Conclusiones
El método de mapeo cruzado es útil para generar información diagnóstica en términos de necesidades de cuidados, utilizando la clasificación NANDA‐I. Se han verificado las asociaciones esperadas entre alta vulnerabilidad social y necesidades de cuidados en una muestra amplia y representativa de la población canaria (España).
Implicaciones para la práctica enfermera
Desde una perspectiva epidemiológica, la identificación de los diagnósticos de enfermería a nivel poblacional permite encontrar las necesidades más prevalentes en los diferentes grupos de la comunidad y focalizar las intervenciones enfermeras adecuadas para su implementación y evaluación de impacto.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>35451572</pmid><doi>10.1111/2047-3095.12371</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | International journal of nursing knowledge, 2023-01, Vol.34 (1), p.42-54 |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Community organizations Cross‐mapping Epidemiology Follow-Up Studies Health behavior Humans Islands Mapping Medical diagnosis Medical Records Nursing Nursing care Nursing Diagnosis nursing epidemiology Original Professional practice Sedentary Social classes social determinants of health Social epidemiology Standardized Nursing Terminology Vulnerability Vulnerable Populations |
| title | Cross‐mapping medical records to NANDA‐I to identify nursing diagnoses in a vulnerable population |
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