Leveraging Electronic Dental Record Data for Clinical Research in the National Dental PBRN Practices.
Journal
Applied clinical informatics
ISSN: 1869-0327
Titre abrégé: Appl Clin Inform
Pays: Germany
ID NLM: 101537732
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
entrez:
30
4
2020
pubmed:
30
4
2020
medline:
1
6
2021
Statut:
ppublish
Résumé
The aim of this study is to determine the feasibility of conducting clinical research using electronic dental record (EDR) data from U.S. solo and small-group general dental practices in the National Dental Practice-Based Research Network (network) and evaluate the data completeness and correctness before performing survival analyses of root canal treatment (RCT) and posterior composite restorations (PCR). Ninety-nine network general dentistry practices that used Dentrix or EagleSoft EDR shared de-identified data of patients who received PCR and/or RCT on permanent teeth through October 31, 2015. We evaluated the data completeness and correctness, summarized practice, and patient characteristics and summarized the two treatments by tooth type and arch location. Eighty-two percent of practitioners were male, with a mean age of 49 and 22.4 years of clinical experience. The final dataset comprised 217,887 patients and 11,289,594 observations, with the observation period ranging from 0 to 37 years. Most patients (73%) were 18 to 64 years old; 56% were female. The data were nearly 100% complete. Eight percent of observations had incorrect data, such as incorrect tooth number or surface, primary teeth, supernumerary teeth, and tooth ranges, indicating multitooth procedures instead of PCR or RCT. Seventy-three percent of patients had dental insurance information; 27% lacked any insurance information. While gender was documented for all patients, race/ethnicity was missing in the dataset. This study established the feasibility of using EDR data integrated from multiple distinct solo and small-group network practices for longitudinal studies to assess treatment outcomes. The results laid the groundwork for a learning health system that enables practitioners to learn about their patients' outcomes by using data from their own practice.
Identifiants
pubmed: 32349142
doi: 10.1055/s-0040-1709506
pmc: PMC7190390
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
305-314Subventions
Organisme : NIDCR NIH HHS
ID : U19 DE022516
Pays : United States
Organisme : NIDCR NIH HHS
ID : U19 DE028717
Pays : United States
Organisme : U19-DE-22516
ID : National Institutes of Health
Pays : International
Organisme : U19-DE-28717
ID : National Institutes of Health
Pays : International
Informations de copyright
Georg Thieme Verlag KG Stuttgart · New York.
Déclaration de conflit d'intérêts
None declared.
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