Leveraging Electronic Dental Record Data for Clinical Research in the National Dental PBRN Practices

Abstract Objectives  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 complete...

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Veröffentlicht in:Applied clinical informatics 2020-03, Vol.11 (2), p.305-314
Hauptverfasser: Thyvalikakath, Thankam Paul, Duncan, William D., Siddiqui, Zasim, LaPradd, Michelle, Eckert, George, Schleyer, Titus, Rindal, Donald Brad, Jurkovich, Mark, Shea, Tracy, Gilbert, Gregg H.
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container_end_page 314
container_issue 2
container_start_page 305
container_title Applied clinical informatics
container_volume 11
creator Thyvalikakath, Thankam Paul
Duncan, William D.
Siddiqui, Zasim
LaPradd, Michelle
Eckert, George
Schleyer, Titus
Rindal, Donald Brad
Jurkovich, Mark
Shea, Tracy
Gilbert, Gregg H.
description Abstract Objectives  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). Methods  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. Results  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. Conclusion  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.
doi_str_mv 10.1055/s-0040-1709506
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Methods  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. Results  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. Conclusion  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.</description><identifier>ISSN: 1869-0327</identifier><identifier>EISSN: 1869-0327</identifier><identifier>DOI: 10.1055/s-0040-1709506</identifier><identifier>PMID: 32349142</identifier><language>eng</language><publisher>Stuttgart · New York: Georg Thieme Verlag KG</publisher><subject>Research Article</subject><ispartof>Applied clinical informatics, 2020-03, Vol.11 (2), p.305-314</ispartof><rights>Georg Thieme Verlag KG Stuttgart · New York.</rights><rights>Thieme Medical Publishers</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-7dd471468c80b6b13bdff8873c61a6b19ae0c45005d394f8fe0ea430e0e456593</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190390/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190390/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32349142$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thyvalikakath, Thankam Paul</creatorcontrib><creatorcontrib>Duncan, William D.</creatorcontrib><creatorcontrib>Siddiqui, Zasim</creatorcontrib><creatorcontrib>LaPradd, Michelle</creatorcontrib><creatorcontrib>Eckert, George</creatorcontrib><creatorcontrib>Schleyer, Titus</creatorcontrib><creatorcontrib>Rindal, Donald Brad</creatorcontrib><creatorcontrib>Jurkovich, Mark</creatorcontrib><creatorcontrib>Shea, Tracy</creatorcontrib><creatorcontrib>Gilbert, Gregg H.</creatorcontrib><creatorcontrib>National Dental PBRN Collaborative Group</creatorcontrib><creatorcontrib>National Dental PBRN Collaborative Group</creatorcontrib><title>Leveraging Electronic Dental Record Data for Clinical Research in the National Dental PBRN Practices</title><title>Applied clinical informatics</title><addtitle>Appl Clin Inform</addtitle><description>Abstract Objectives  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). Methods  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. Results  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. Conclusion  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. 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Methods  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. Results  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. Conclusion  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.</abstract><cop>Stuttgart · New York</cop><pub>Georg Thieme Verlag KG</pub><pmid>32349142</pmid><doi>10.1055/s-0040-1709506</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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title Leveraging Electronic Dental Record Data for Clinical Research in the National Dental PBRN Practices
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