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Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage

BACKGROUND: The World Health Organization is in the process of developing an international administrative classification for health called the International Classification of Health Interventions (ICHI). The purpose of ICHI is to provide a tool for supporting intervention reporting and analysis at a...

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Autores principales: Block, Lorraine J, Currie, Leanne M, Hardiker, Nicholas R, Strudwick, Gillian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617914/
https://www.ncbi.nlm.nih.gov/pubmed/31244480
http://dx.doi.org/10.2196/12847
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author Block, Lorraine J
Currie, Leanne M
Hardiker, Nicholas R
Strudwick, Gillian
author_facet Block, Lorraine J
Currie, Leanne M
Hardiker, Nicholas R
Strudwick, Gillian
author_sort Block, Lorraine J
collection PubMed
description BACKGROUND: The World Health Organization is in the process of developing an international administrative classification for health called the International Classification of Health Interventions (ICHI). The purpose of ICHI is to provide a tool for supporting intervention reporting and analysis at a global level for policy development and beyond. Nurses represent the largest resource carrying out clinical interventions in any health system. With the shift in nursing care from hospital to community settings in many countries, it is important to ensure that community nursing interventions are present in any international health information system. Thus, an investigation into the extent to which community nursing interventions were covered in ICHI was needed. OBJECTIVE: The objectives of this study were to examine the extent to which International Classification for Nursing Practice (ICNP) community nursing interventions were represented in the ICHI administrative classification system, to identify themes related to gaps in coverage, and to support continued advancements in understanding the complexities of knowledge representation in standardized clinical terminologies and classifications. METHODS: This descriptive study used a content mapping approach in 2 phases in 2018. A total of 187 nursing intervention codes were extracted from the ICNP Community Nursing Catalogue and mapped to ICHI. In phase 1, 2 coders completed independent mapping activities. In phase 2, the 2 coders compared each list and discussed concept matches until consensus on ICNP-ICHI match and on mapping relationship was reached. RESULTS: The initial percentage agreement between the 2 coders was 47% (n=88), but reached 100% with consensus processes. After consensus was reached, 151 (81%) of the community nursing interventions resulted in an ICHI match. A total of 36 (19%) of community nursing interventions had no match to ICHI content. A total of 100 (53%) community nursing interventions resulted in a broader ICHI code, 9 (5%) resulted in a narrower ICHI code, and 42 (23%) were considered equivalent. ICNP concepts that were not represented in ICHI were thematically grouped into the categories family and caregivers, death and dying, and case management. CONCLUSIONS: Overall, the content mapping yielded similar results to other content mapping studies in nursing. However, it also found areas of missing concept coverage, difficulties with interterminology mapping, and further need to develop mapping methods.
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spelling pubmed-66179142019-07-30 Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage Block, Lorraine J Currie, Leanne M Hardiker, Nicholas R Strudwick, Gillian J Med Internet Res Original Paper BACKGROUND: The World Health Organization is in the process of developing an international administrative classification for health called the International Classification of Health Interventions (ICHI). The purpose of ICHI is to provide a tool for supporting intervention reporting and analysis at a global level for policy development and beyond. Nurses represent the largest resource carrying out clinical interventions in any health system. With the shift in nursing care from hospital to community settings in many countries, it is important to ensure that community nursing interventions are present in any international health information system. Thus, an investigation into the extent to which community nursing interventions were covered in ICHI was needed. OBJECTIVE: The objectives of this study were to examine the extent to which International Classification for Nursing Practice (ICNP) community nursing interventions were represented in the ICHI administrative classification system, to identify themes related to gaps in coverage, and to support continued advancements in understanding the complexities of knowledge representation in standardized clinical terminologies and classifications. METHODS: This descriptive study used a content mapping approach in 2 phases in 2018. A total of 187 nursing intervention codes were extracted from the ICNP Community Nursing Catalogue and mapped to ICHI. In phase 1, 2 coders completed independent mapping activities. In phase 2, the 2 coders compared each list and discussed concept matches until consensus on ICNP-ICHI match and on mapping relationship was reached. RESULTS: The initial percentage agreement between the 2 coders was 47% (n=88), but reached 100% with consensus processes. After consensus was reached, 151 (81%) of the community nursing interventions resulted in an ICHI match. A total of 36 (19%) of community nursing interventions had no match to ICHI content. A total of 100 (53%) community nursing interventions resulted in a broader ICHI code, 9 (5%) resulted in a narrower ICHI code, and 42 (23%) were considered equivalent. ICNP concepts that were not represented in ICHI were thematically grouped into the categories family and caregivers, death and dying, and case management. CONCLUSIONS: Overall, the content mapping yielded similar results to other content mapping studies in nursing. However, it also found areas of missing concept coverage, difficulties with interterminology mapping, and further need to develop mapping methods. JMIR Publications 2019-06-26 /pmc/articles/PMC6617914/ /pubmed/31244480 http://dx.doi.org/10.2196/12847 Text en ©Lorraine J Block, Leanne M Currie, Nicholas R Hardiker, Gillian Strudwick. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 26.06.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Block, Lorraine J
Currie, Leanne M
Hardiker, Nicholas R
Strudwick, Gillian
Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage
title Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage
title_full Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage
title_fullStr Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage
title_full_unstemmed Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage
title_short Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage
title_sort visibility of community nursing within an administrative health classification system: evaluation of content coverage
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617914/
https://www.ncbi.nlm.nih.gov/pubmed/31244480
http://dx.doi.org/10.2196/12847
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