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Developing a coding taxonomy to analyze dental regulatory complaints

BACKGROUND: As part of their mandate to protect the public, dental regulatory authorities (DRA) in Canada are responsible for investigating complaints made by members of the public. To gain an understanding of the nature of and trends in complaints made to the Royal College of Dental Surgeons of Ont...

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Autores principales: Roerig, Monika, Farmer, Julie, Ghoneim, Abdulrahman, Gomaa, Noha, Dempster, Laura, Evans, Krystal, La, Wanda, Quiñonez, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691083/
https://www.ncbi.nlm.nih.gov/pubmed/33239029
http://dx.doi.org/10.1186/s12913-020-05943-7
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author Roerig, Monika
Farmer, Julie
Ghoneim, Abdulrahman
Gomaa, Noha
Dempster, Laura
Evans, Krystal
La, Wanda
Quiñonez, Carlos
author_facet Roerig, Monika
Farmer, Julie
Ghoneim, Abdulrahman
Gomaa, Noha
Dempster, Laura
Evans, Krystal
La, Wanda
Quiñonez, Carlos
author_sort Roerig, Monika
collection PubMed
description BACKGROUND: As part of their mandate to protect the public, dental regulatory authorities (DRA) in Canada are responsible for investigating complaints made by members of the public. To gain an understanding of the nature of and trends in complaints made to the Royal College of Dental Surgeons of Ontario (RCDSO), Canada’s largest DRA, a coding taxonomy was developed for systematic analysis of complaints. METHODS: The taxonomy was developed through a two-pronged approach. First, the research team searched for existing complaints frameworks and integrated data from a variety of sources to ensure applicability to the dental context in terms of the generated items/complaint codes in the taxonomy. Second, an anonymized sample of complaint letters made by the public to the RCDSO (n = 174) were used to refine the taxonomy. This sample was further used to assess the feasibility of use in a larger content analysis of complaints. Inter-coder reliability was also assessed using a separate sample of letters (n = 110). RESULTS: The resulting taxonomy comprised three domains (Clinical Care and Treatment, Management and Access, and Relationships and Conduct), with seven categories, 23 sub-categories, and over 100 complaint codes. Pilot testing for the feasibility and applicability of the taxonomy’s use for a systematic analysis of complaints proved successful. CONCLUSIONS: The resulting coding taxonomy allows for reliable documentation and interpretation of complaints made to a DRA in Canada and potentially other jurisdictions, such that the nature of and trends in complaints can be identified, monitored and used in quality assurance and improvement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-020-05943-7.
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spelling pubmed-76910832020-11-30 Developing a coding taxonomy to analyze dental regulatory complaints Roerig, Monika Farmer, Julie Ghoneim, Abdulrahman Gomaa, Noha Dempster, Laura Evans, Krystal La, Wanda Quiñonez, Carlos BMC Health Serv Res Research Article BACKGROUND: As part of their mandate to protect the public, dental regulatory authorities (DRA) in Canada are responsible for investigating complaints made by members of the public. To gain an understanding of the nature of and trends in complaints made to the Royal College of Dental Surgeons of Ontario (RCDSO), Canada’s largest DRA, a coding taxonomy was developed for systematic analysis of complaints. METHODS: The taxonomy was developed through a two-pronged approach. First, the research team searched for existing complaints frameworks and integrated data from a variety of sources to ensure applicability to the dental context in terms of the generated items/complaint codes in the taxonomy. Second, an anonymized sample of complaint letters made by the public to the RCDSO (n = 174) were used to refine the taxonomy. This sample was further used to assess the feasibility of use in a larger content analysis of complaints. Inter-coder reliability was also assessed using a separate sample of letters (n = 110). RESULTS: The resulting taxonomy comprised three domains (Clinical Care and Treatment, Management and Access, and Relationships and Conduct), with seven categories, 23 sub-categories, and over 100 complaint codes. Pilot testing for the feasibility and applicability of the taxonomy’s use for a systematic analysis of complaints proved successful. CONCLUSIONS: The resulting coding taxonomy allows for reliable documentation and interpretation of complaints made to a DRA in Canada and potentially other jurisdictions, such that the nature of and trends in complaints can be identified, monitored and used in quality assurance and improvement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-020-05943-7. BioMed Central 2020-11-25 /pmc/articles/PMC7691083/ /pubmed/33239029 http://dx.doi.org/10.1186/s12913-020-05943-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Roerig, Monika
Farmer, Julie
Ghoneim, Abdulrahman
Gomaa, Noha
Dempster, Laura
Evans, Krystal
La, Wanda
Quiñonez, Carlos
Developing a coding taxonomy to analyze dental regulatory complaints
title Developing a coding taxonomy to analyze dental regulatory complaints
title_full Developing a coding taxonomy to analyze dental regulatory complaints
title_fullStr Developing a coding taxonomy to analyze dental regulatory complaints
title_full_unstemmed Developing a coding taxonomy to analyze dental regulatory complaints
title_short Developing a coding taxonomy to analyze dental regulatory complaints
title_sort developing a coding taxonomy to analyze dental regulatory complaints
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691083/
https://www.ncbi.nlm.nih.gov/pubmed/33239029
http://dx.doi.org/10.1186/s12913-020-05943-7
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