PMID- 35948296
OWN - NLM
STAT- MEDLINE
DCOM- 20220812
LR  - 20230928
IS  - 1549-8425 (Electronic)
IS  - 1549-8417 (Print)
IS  - 1549-8417 (Linking)
VI  - 18
IP  - 5
DP  - 2022 Aug 1
TI  - Building Consensus for a Shared Definition of Adverse Events: A Case Study in the 
      Profession of Dentistry.
PG  - 470-474
LID - 10.1097/PTS.0000000000000959 [doi]
AB  - BACKGROUND: To achieve high-quality health care, adverse events (AEs) must be 
      proactively recognized and mitigated. However, there is often ambiguity in 
      applying guidelines and definitions. We describe the iterative calibration 
      process needed to achieve a shared definition of AEs in dentistry. Our alignment 
      process includes both independent and consensus building approaches. OBJECTIVE: 
      We explore the process of defining dental AEs and the steps necessary to achieve 
      alignment across different care providers. METHODS: Teams from 4 dental 
      institutions across the United States iteratively reviewed patient records after 
      identification of charts using an automated trigger tool. Calibration across 
      teams was supported through negotiated definition of AEs and standardization of 
      evidence provided in review. Interrater reliability was assessed using 
      descriptive and kappa statistics. RESULTS: After 5 iterative cycles of calibration, 
      the teams (n = 8 raters) identified 118 cases. The average percent agreement for 
      AE determination was 82.2%. Furthermore, the average, pairwise prevalence and 
      bias-adjusted kappa (PABAK) was 57.5% (kappa = 0.575) for determining AE presence. The 
      average percent agreement for categorization of the AE type was 78.5%, whereas 
      the PABAK was 48.8%. Lastly, the average percent agreement for categorization of 
      AE severity was 82.2% and the corresponding PABAK was 71.7%. CONCLUSIONS: 
      Successful calibration across reviewers is possible after consensus building 
      procedures. Higher levels of agreement were found when categorizing severity (of 
      identified events) rather than the events themselves. Our results demonstrate the 
      need for collaborative procedures as well as training for the identification and 
      severity rating of AEs.
CI  - Copyright (c) 2022 Wolters Kluwer Health, Inc. All rights reserved.
FAU - Franklin, Amy
AU  - Franklin A
AD  - From the School of Biomedical Informatics, The University of Texas Health Science 
      Center at Houston, Houston, Texas.
FAU - Kalenderian, Elsbeth
AU  - Kalenderian E
AD  - Department of Preventive and Restorative Dental Sciences, School of Dentistry, 
      University of California San Francisco, San Francisco, California.
FAU - Hebballi, Nutan
AU  - Hebballi N
AD  - School of Dentistry, The University of Texas Health Science Center at Houston, 
      Houston, Texas.
FAU - Delattre, Veronique
AU  - Delattre V
AD  - School of Dentistry, The University of Texas Health Science Center at Houston, 
      Houston, Texas.
FAU - Etoule, Jini
AU  - Etoule J
AD  - Oral Health Policy and Epidemiology, School of Dental Medicine, Harvard 
      University, Boston, Massachusetts.
FAU - White, Joel
AU  - White J
AD  - Department of Preventive and Restorative Dental Sciences, School of Dentistry, 
      University of California San Francisco, San Francisco, California.
FAU - Vaderhobli, Ram
AU  - Vaderhobli R
AD  - Department of Preventive and Restorative Dental Sciences, School of Dentistry, 
      University of California San Francisco, San Francisco, California.
FAU - Stewart, Denice
AU  - Stewart D
AD  - Community Dentistry.
FAU - Kent, Karla
AU  - Kent K
AD  - Integrative Biosciences, School of Dentistry, Oregon Health and Science 
      University, Portland, Oregon.
FAU - Yansane, Alfa
AU  - Yansane A
AD  - Oral Health Policy and Epidemiology, School of Dental Medicine, Harvard 
      University, Boston, Massachusetts.
FAU - Walji, Muhammad
AU  - Walji M
AD  - School of Dentistry, The University of Texas Health Science Center at Houston, 
      Houston, Texas.
LA  - eng
GR  - R01 DE022628/DE/NIDCR NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PL  - United States
TA  - J Patient Saf
JT  - Journal of patient safety
JID - 101233393
SB  - IM
MH  - Consensus
MH  - *Dentistry
MH  - Humans
MH  - Reproducibility of Results
MH  - United States
PMC - PMC9377700
MID - NIHMS1755800
COIS- The authors disclose no conflict of interest.
EDAT- 2022/08/11 06:00
MHDA- 2022/08/13 06:00
PMCR- 2023/08/01
CRDT- 2022/08/10 19:53
PHST- 2022/08/10 19:53 [entrez]
PHST- 2022/08/11 06:00 [pubmed]
PHST- 2022/08/13 06:00 [medline]
PHST- 2023/08/01 00:00 [pmc-release]
AID - 01209203-202208000-00015 [pii]
AID - 10.1097/PTS.0000000000000959 [doi]
PST - ppublish
SO  - J Patient Saf. 2022 Aug 1;18(5):470-474. doi: 10.1097/PTS.0000000000000959.