ArticleJournal of the American Medical Informatics Association : JAMIA2017
Embedding Nursing Interventions into the World Health Organization's International Classification of Health Interventions (ICHI).
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Managing the Complexity-Coherence Trade-Off in Clinical Reasoning: A Two-Stage Graph Ontology Based on WHO International Classifications.Journal of evaluation in clinical practice · 2026Article
- Application of the International Classification of Health Interventions for coding interventions in adults with sensorineural hearing loss.JAMIA open · 2025Article
- Interventions Addressing Symptoms in Older Adults with Multimorbidity: An Umbrella Review.Journal of multidisciplinary healthcare · 2024Review
- Mapping 3 procedure coding systems to the International Classification of Health Interventions (ICHI): coverage and challenges.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Evaluation of the International Classification of Health Interventions (ICHI) in the coding of common surgical procedures.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage.Journal of medical Internet research · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe International Classification of Health Interventions, currently being developed, seeks to span all sectors of the health system. Our objective was to test the draft classification's coverage of interventions commonly delivered by nurses, and propose changes to improve the utility and reliability of the classification for aggregating and analyzing data on nursing interventions. MATERIALS AND
methodsA 2-phase content mapping method was used: (1) three coders independently applied the classification to a dataset comprising 100 high-frequency nursing interventions; (2) the coders reached consensus for each intervention and identified reasons for initial discrepancies.
resultsA consensus code was found for 80 of the 100 source terms; for 34% of these, the code was semantically equivalent to the source term, and for 64% it was broader. Issues that contributed to discrepancies in Phase 1 coding results included concepts in source terms not captured by the classification, ambiguities in source terms, and uncertainty of semantic matching between "action" concepts in source terms and classification codes. DISCUSSION: While the classification generally provides good coverage of nursing interventions, there remain a number of content gaps and granularity issues. Further development of definitions and coding guidance is needed to ensure consistency of application.
conclusionThis study has produced a set of proposals concerning changes needed to improve the classification. The novel method described here will inform future health terminology and classification content coverage studies.
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