Mei Song1, Kaihong Liu, Rebecca Abromitis, Titus L Schleyer. 1. Center for Dental Informatics, Department of Dental Public Health, University of Pittsburgh School of Dental Medicine, Pittsburgh, PA 15261, United States. Electronic address: echoosu@yahoo.com.
Abstract
OBJECTIVES: The reuse of electronic patient data collected during clinical care has received increased attention as a way to increase our evidence base. The purpose of this paper was to review studies reusing electronic patient data for dental research. DATA SOURCES: 1527 citations obtained by searching MEDLINE and Embase databases, hand-searching seven dental and informatics journals, and snowball sampling. STUDY SELECTION: We included studies reusing electronic patient data for research on dental and craniofacial topics, alone or in combination with medical conditions, medications and outcomes. Studies using administrative or research databases and systematic reviews were excluded. Three reviewers extracted data independently and performed analysis jointly RESULTS: The 60 studies reviewed covered epidemiological (32 studies), outcomes (16), health services research (10) and other (2) topics; were primarily retrospective (58 studies); varied significantly in sample size (9-153,619 patients) and follow-up period (1-12 years); often drew on other data sources in addition to electronic ones (25); but rarely tapped electronic dental record (EDR) data in private practices (3). Type of research was not associated with data sources used, but research topics/questions were. The most commonly reported advantages of reusing electronic data were being able to study large samples and saving time, while data quality and the inability to capture study-specific data were identified as major limitations. CONCLUSIONS: Dental research reusing electronic patient data is nascent but accelerating. Future EDR design should focus on enhancing data quality, begin to integrate research data collection and implement interoperability with electronic medical records to facilitate oral-systemic investigations. CLINICAL SIGNIFICANCE: Measuring and improving the quality of dental care requires that we begin to reuse electronic patient data collected in practice for clinical research. Practice data can potentially serve as a useful complement to data collected in traditional research studies.
OBJECTIVES: The reuse of electronic patient data collected during clinical care has received increased attention as a way to increase our evidence base. The purpose of this paper was to review studies reusing electronic patient data for dental research. DATA SOURCES: 1527 citations obtained by searching MEDLINE and Embase databases, hand-searching seven dental and informatics journals, and snowball sampling. STUDY SELECTION: We included studies reusing electronic patient data for research on dental and craniofacial topics, alone or in combination with medical conditions, medications and outcomes. Studies using administrative or research databases and systematic reviews were excluded. Three reviewers extracted data independently and performed analysis jointly RESULTS: The 60 studies reviewed covered epidemiological (32 studies), outcomes (16), health services research (10) and other (2) topics; were primarily retrospective (58 studies); varied significantly in sample size (9-153,619 patients) and follow-up period (1-12 years); often drew on other data sources in addition to electronic ones (25); but rarely tapped electronic dental record (EDR) data in private practices (3). Type of research was not associated with data sources used, but research topics/questions were. The most commonly reported advantages of reusing electronic data were being able to study large samples and saving time, while data quality and the inability to capture study-specific data were identified as major limitations. CONCLUSIONS: Dental research reusing electronic patient data is nascent but accelerating. Future EDR design should focus on enhancing data quality, begin to integrate research data collection and implement interoperability with electronic medical records to facilitate oral-systemic investigations. CLINICAL SIGNIFICANCE: Measuring and improving the quality of dental care requires that we begin to reuse electronic patient data collected in practice for clinical research. Practice data can potentially serve as a useful complement to data collected in traditional research studies.
Keywords:
AO; CHD; Clinical research; DMF; Dental informatics; Dental records; EDR; EHR; EMR; Electronic health records; HMO; Medical records systems, computerized; NDPBRN; NIDCR; National Dental Practice-based Research Network; National Institute of Dental and Craniofacial Research; ONJ; OSA; PBRN; Review; VA; Veterans Affairs; atypical odontalgia; coronary heart disease; decayed missing and filled teeth; electronic dental records; electronic health records; electronic medical records; health maintenance organization; obstructive sleep apnea; osteonecrosis of the jaw; practice-based research network
Authors: Tina I Chang; Jeffrey M Tanner; Nancy D Harada; Neal R Garrett; Arthur H Friedlander Journal: Oral Surg Oral Med Oral Pathol Oral Radiol Date: 2012-02-03
Authors: Kudiyirickal Marina George; Yong-Geun Choi; Kevin L Rieck; James Van Ess; Romana Ivancakova; Alan B Carr Journal: Int J Prosthodont Date: 2011 May-Jun Impact factor: 1.681
Authors: B B Zaidan; Ahmed Haiqi; A A Zaidan; Mohamed Abdulnabi; M L Mat Kiah; Hussaen Muzamel Journal: J Med Syst Date: 2015-03-03 Impact factor: 4.460
Authors: Joseph Kannry; Patricia Sengstack; Thankam Paul Thyvalikakath; John Poikonen; Blackford Middleton; Thomas Payne; Christoph U Lehmann Journal: Appl Clin Inform Date: 2016-03-16 Impact factor: 2.342
Authors: Joel M White; Elizabeth A Mertz; Joanna M Mullins; Joshua B Even; Trey Guy; Elena Blaga; Aubri M Kottek; Shwetha V Kumar; Suhasini Bangar; Ram Vaderhobli; Ryan Brandon; William Santo; Larry Jenson; Stuart A Gansky Journal: Caries Res Date: 2019-06-05 Impact factor: 4.056
Authors: Muhammad F Walji; Elsbeth Kalenderian; Paul C Stark; Joel M White; Krishna K Kookal; Dat Phan; Duong Tran; Elmer V Bernstam; Rachel Ramoni Journal: J Am Med Inform Assoc Date: 2014-07-03 Impact factor: 4.497
Authors: William D Duncan; Thankam Thyvalikakath; Melissa Haendel; Carlo Torniai; Pedro Hernandez; Mei Song; Amit Acharya; Daniel J Caplan; Titus Schleyer; Alan Ruttenberg Journal: J Biomed Semantics Date: 2020-08-20