Kenny, K.P. orcid.org/0000-0001-9076-5856, Pavitt, S., Foy, R. et al. (1 more author) (2023) Improving data quality from routine clinical appointments - Development of a minimum dataset for traumatic dental injuries in children and adolescents. Dental Traumatology. ISSN 1600-4469
Abstract
Background/Aims It is currently difficult to evaluate the success or not of treatment for dental injuries due to poor recording of diagnostic and treatment codes in clinical dentistry. A minimum dataset comprises a standardised minimum set of outcomes along with a specified outcome measurement instrument, to allow aggregated use of data from routine clinical care appointments. This study aimed to determine which outcomes should be included in a minimum dataset for traumatic dental injuries (TDI).
Materials and Methods This is a three-stage sequential, mixed-methods study, using evidence-based best practice for dataset development. Normalisation process theory informed the development of the study protocols. In Stage 1, semi-structured interviews with patients and their parent or guardian were undertaken to identify outcomes of importance to patients. In Stage 2, an online Delphi survey was undertaken to identify outcomes of importance to clinicians. In Stage 3, a National Consensus Meeting was undertaken involving patient representatives, clinicians and other stakeholders, to agree which outcomes should be included in the minimum dataset.
Results Stage 1: Eleven participants were recruited, five children and six parents. Two key themes emerged from the analysis—communication and aesthetics. In Stage 2, 34 dentists were recruited, and 32 completed both rounds of the survey (97% retention). Most outcomes were deemed by participants to be of ‘critical importance’, with three outcomes deemed ‘important’ and none to be ‘of limited importance’. In Stage 3, 15 participants took part in the consensus meeting. Participants agreed that the dataset should comprise a list of clinician-important outcomes (pulp healing, periodontal healing, discolouration, tooth loss) and a list of patient-important outcomes (communication, aesthetics, pain, quality of life).
Conclusion A Minimum Dataset for TDI has been developed using a robust and transparent methodology.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Dental Traumatology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | classification; dental trauma; record |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Dentistry (Leeds) > Paediatric Dentistry (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Aug 2023 12:24 |
Last Modified: | 31 Aug 2023 12:24 |
Status: | Published online |
Publisher: | Wiley |
Identification Number: | 10.1111/edt.12876 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:202641 |