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Validation of administrative health data for the pediatric population: a scoping review
BACKGROUND: The purpose of this research was to perform a scoping review of published literature on the validity of administrative health data for ascertaining health conditions in the pediatric population (≤20 years). METHODS: A comprehensive search of OVID Medline (1946 - present), CINAHL (1937 -...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057929/ https://www.ncbi.nlm.nih.gov/pubmed/24885035 http://dx.doi.org/10.1186/1472-6963-14-236 |
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author | Shiff, Natalie J Jama, Sadia Boden, Catherine Lix, Lisa M |
author_facet | Shiff, Natalie J Jama, Sadia Boden, Catherine Lix, Lisa M |
author_sort | Shiff, Natalie J |
collection | PubMed |
description | BACKGROUND: The purpose of this research was to perform a scoping review of published literature on the validity of administrative health data for ascertaining health conditions in the pediatric population (≤20 years). METHODS: A comprehensive search of OVID Medline (1946 - present), CINAHL (1937 - present) and EMBASE (1947 - present) was conducted. Characteristics of validation studies that were abstracted included the study population, health condition, topic of the validation (e.g., single diagnosis code versus case-finding algorithm), administrative and validation data sources. Inter-rater agreement was measured using Cohen’s κ. Extracted data were analyzed using descriptive statistics. RESULTS: A total of 37 articles met the study inclusion criteria. Cohen’s κ for study inclusion/exclusion and data abstraction was 0.88 and 0.97, respectively. Most studies validated administrative data from the USA (43.2%) and Canada (24.3%), and focused on inpatient records (67.6%). Case-finding algorithms (56.7%) were more frequently validated than diagnoses codes alone (37.8%). Five conditions were validated in more than one study: diabetes mellitus, inflammatory bowel disease, asthma, rotavirus infection, and tuberculosis. CONCLUSIONS: This scoping review identified a number of gaps in the validation of administrative health data for pediatric populations, including limited investigation of outpatient populations and older pediatric age groups. |
format | Online Article Text |
id | pubmed-4057929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40579292014-06-15 Validation of administrative health data for the pediatric population: a scoping review Shiff, Natalie J Jama, Sadia Boden, Catherine Lix, Lisa M BMC Health Serv Res Research Article BACKGROUND: The purpose of this research was to perform a scoping review of published literature on the validity of administrative health data for ascertaining health conditions in the pediatric population (≤20 years). METHODS: A comprehensive search of OVID Medline (1946 - present), CINAHL (1937 - present) and EMBASE (1947 - present) was conducted. Characteristics of validation studies that were abstracted included the study population, health condition, topic of the validation (e.g., single diagnosis code versus case-finding algorithm), administrative and validation data sources. Inter-rater agreement was measured using Cohen’s κ. Extracted data were analyzed using descriptive statistics. RESULTS: A total of 37 articles met the study inclusion criteria. Cohen’s κ for study inclusion/exclusion and data abstraction was 0.88 and 0.97, respectively. Most studies validated administrative data from the USA (43.2%) and Canada (24.3%), and focused on inpatient records (67.6%). Case-finding algorithms (56.7%) were more frequently validated than diagnoses codes alone (37.8%). Five conditions were validated in more than one study: diabetes mellitus, inflammatory bowel disease, asthma, rotavirus infection, and tuberculosis. CONCLUSIONS: This scoping review identified a number of gaps in the validation of administrative health data for pediatric populations, including limited investigation of outpatient populations and older pediatric age groups. BioMed Central 2014-05-22 /pmc/articles/PMC4057929/ /pubmed/24885035 http://dx.doi.org/10.1186/1472-6963-14-236 Text en Copyright © 2014 Shiff et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Research Article Shiff, Natalie J Jama, Sadia Boden, Catherine Lix, Lisa M Validation of administrative health data for the pediatric population: a scoping review |
title | Validation of administrative health data for the pediatric population: a scoping review |
title_full | Validation of administrative health data for the pediatric population: a scoping review |
title_fullStr | Validation of administrative health data for the pediatric population: a scoping review |
title_full_unstemmed | Validation of administrative health data for the pediatric population: a scoping review |
title_short | Validation of administrative health data for the pediatric population: a scoping review |
title_sort | validation of administrative health data for the pediatric population: a scoping review |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057929/ https://www.ncbi.nlm.nih.gov/pubmed/24885035 http://dx.doi.org/10.1186/1472-6963-14-236 |
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