دورية أكاديمية
أعرض في EDS

Measuring and controlling medical record abstraction (MRA) error rates in an observational study.

التفاصيل البيبلوغرافية
العنوان: Measuring and controlling medical record abstraction (MRA) error rates in an observational study.
المؤلفون: Garza MY; Department of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St., #782, Little Rock, AR, 72205, USA. mygarza@uams.edu.; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA. mygarza@uams.edu., Williams T; Department of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St., #782, Little Rock, AR, 72205, USA., Myneni S; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA., Fenton SH; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA., Ounpraseuth S; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA., Hu Z; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA., Lee J; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA., Snowden J; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA., Zozus MN; University of Texas Health Science Center at San Antonio, Joe R. & Teresa Lozano Long School of Medicine, San Antonio, TX, USA., Walden AC; Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA., Simon AE; Environmental Influences On Child Health Outcomes (ECHO) Program, National Institutes of Health, Rockville, MD, USA., McClaskey B; Pittsburg State University, Pittsburg, KS, USA., Sanders SG; Department of Pediatrics, University of New Mexico Health Sciences Center, Albuquerque, NM, USA., Beauman SS; Department of Pediatrics, University of New Mexico Health Sciences Center, Albuquerque, NM, USA., Ford SR; Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA., Malloch L; University of Mississippi Medical Center, Jackson, MS, USA., Wilson A; Alaska Native Tribal Health Consortium, Anchorage, Alaska, USA., Devlin LA; Department of Pediatrics, University of Louisville, Louisville, KY, USA., Young LW; Department of Pediatrics, The Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
المصدر: BMC medical research methodology [BMC Med Res Methodol] 2022 Aug 15; Vol. 22 (1), pp. 227. Date of Electronic Publication: 2022 Aug 15.
نوع المنشور: Journal Article; Observational Study; Research Support, N.I.H., Extramural
اللغة: English
بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : BioMed Central, [2001-
مواضيع طبية MeSH: Data Accuracy* , Medical Records*, Data Collection ; Humans ; Infant, Newborn ; Research Design ; Retrospective Studies
مستخلص: Background: Studies have shown that data collection by medical record abstraction (MRA) is a significant source of error in clinical research studies relying on secondary use data. Yet, the quality of data collected using MRA is seldom assessed. We employed a novel, theory-based framework for data quality assurance and quality control of MRA. The objective of this work is to determine the potential impact of formalized MRA training and continuous quality control (QC) processes on data quality over time.
Methods: We conducted a retrospective analysis of QC data collected during a cross-sectional medical record review of mother-infant dyads with Neonatal Opioid Withdrawal Syndrome. A confidence interval approach was used to calculate crude (Wald's method) and adjusted (generalized estimating equation) error rates over time. We calculated error rates using the number of errors divided by total fields ("all-field" error rate) and populated fields ("populated-field" error rate) as the denominators, to provide both an optimistic and a conservative measurement, respectively.
Results: On average, the ACT NOW CE Study maintained an error rate between 1% (optimistic) and 3% (conservative). Additionally, we observed a decrease of 0.51 percentage points with each additional QC Event conducted.
Conclusions: Formalized MRA training and continuous QC resulted in lower error rates than have been found in previous literature and a decrease in error rates over time. This study newly demonstrates the importance of continuous process controls for MRA within the context of a multi-site clinical research study.
(© 2022. The Author(s).)
References: Stud Health Technol Inform. 2019;257:115-124. (PMID: 30741183)
Ther Innov Regul Sci. 2016 Nov;50(6):682-696. (PMID: 30231749)
AMIA Annu Symp Proc. 2021 Jan 25;2020:472-481. (PMID: 33936420)
PLoS One. 2015 Oct 20;10(10):e0138649. (PMID: 26484762)
J Clin Epidemiol. 2005 Mar;58(3):269-74. (PMID: 15718116)
Pediatrics. 2021 Jan;147(1):. (PMID: 33386337)
Stud Health Technol Inform. 2017;234:93-97. (PMID: 28186022)
Stud Health Technol Inform. 2019;257:526-539. (PMID: 30741251)
Science. 2008 Oct 10;322(5899):210-3. (PMID: 18845742)
Ther Innov Regul Sci. 2018 Jan;52(1):22-28. (PMID: 29714620)
JAMA. 2003 Mar 12;289(10):1278-87. (PMID: 12633190)
PLoS One. 2008 Aug 25;3(8):e3049. (PMID: 18725958)
Am Heart J. 2005 Mar;149(3):482-8. (PMID: 15864237)
J Am Med Inform Assoc. 2009 May-Jun;16(3):316-27. (PMID: 19261934)
Stat Med. 1993 Sep 15;12(17):1535-42. (PMID: 8235176)
Summit Transl Bioinform. 2010 Mar 01;2010:36-40. (PMID: 21347145)
معلومات مُعتمدة: UG1 OD030016 United States OD NIH HHS; UG1 OD024943 United States OD NIH HHS; UG1 OD024947 United States OD NIH HHS; UL1 TR003107 United States TR NCATS NIH HHS; UG1 OD024942 United States OD NIH HHS; UG1 OD024951 United States OD NIH HHS; UG1 OD024959 United States OD NIH HHS; UG1 OD024944 United States OD NIH HHS; UG1 OD024946 United States OD NIH HHS; UG1 OD024955 United States OD NIH HHS; U24 OD024957 United States OD NIH HHS; UG1 OD024954 United States OD NIH HHS
فهرسة مساهمة: Keywords: Clinical data management; Clinical research; Data collection; Data quality; Medical record abstraction
تواريخ الأحداث: Date Created: 20220815 Date Completed: 20220817 Latest Revision: 20240902
رمز التحديث: 20240902
مُعرف محوري في PubMed: PMC9380367
DOI: 10.1186/s12874-022-01705-7
PMID: 35971057
قاعدة البيانات: MEDLINE
الوصف
تدمد:1471-2288
DOI:10.1186/s12874-022-01705-7