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Methods Helping Dentists to Detect Dental Fear

OBJECTIVES: Dental fear is common and yet often remains unrecognised. COVID-19 has challenged health care since 2020. This study aimed to evaluate patients’ self-reported dental fear and detection of dental fear by the dentists. Another aim was to validate a colour code instrument for estimating den...

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Autores principales: Kankaala, Taina, Rajavaara, Päivi, Kestilä, Maria, Väisänen, Minna, Vähänikkilä, Hannu, Laitala, Marja-Liisa, Anttonen, Vuokko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023586/
https://www.ncbi.nlm.nih.gov/pubmed/35918206
http://dx.doi.org/10.1016/j.identj.2022.06.018
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author Kankaala, Taina
Rajavaara, Päivi
Kestilä, Maria
Väisänen, Minna
Vähänikkilä, Hannu
Laitala, Marja-Liisa
Anttonen, Vuokko
author_facet Kankaala, Taina
Rajavaara, Päivi
Kestilä, Maria
Väisänen, Minna
Vähänikkilä, Hannu
Laitala, Marja-Liisa
Anttonen, Vuokko
author_sort Kankaala, Taina
collection PubMed
description OBJECTIVES: Dental fear is common and yet often remains unrecognised. COVID-19 has challenged health care since 2020. This study aimed to evaluate patients’ self-reported dental fear and detection of dental fear by the dentists. Another aim was to validate a colour code instrument for estimating dental fear. The influence of COVID-19 on fear and attendance was assessed. METHODS: A cross-sectional survey was conducted in the primary urgent dental care of Oulu, Finland, in spring 2020 and 2021 after the first (T1) and third waves (T2) of the pandemic. Data were obtained for analyses using the Modified Dental Anxiety Scale (MDAS), Facial Image Scale (FIS), and a new “traffic light” colour code for dental fear (CCF). The influence of COVID-19 on dental fear and attendance was assessed with structured and open-ended questions. The questionnaires were completed by 273 anonymous participants. RESULTS: Of the participants, 167 (61.2%) visited dental care during T1 and 106 (38.8%) during T2. Their mean age was 45.1 years. An MDAS score of 19 or above, indicating severe fear, was reported by 10.6% of the participants. Of those with severe dental fear, 87% chose the red colour in the CCF “traffic light” system. The association between dentists’ and participants’ estimation of dental fear was weak (P < .001) and agreement with the red code was nonexistent (Cohen's kappa value = −0.035). MDAS scores of the younger participants were higher than those of the older ones after the first wave (T1) (P = .021). COVID-19 had the strongest influence on dental attendance and dental fear of those having the most severe self-reported dental fear as measured by the MDAS. CONCLUSIONS: Colour-coded traffic lights seem valid for screening severe dental fear and are easy and quick to use. They could be useful tools especially since recognising dental fear seems difficult for dentists. The COVID-19 pandemic has complicated dental care for the most fearful individuals.
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spelling pubmed-100235862023-03-19 Methods Helping Dentists to Detect Dental Fear Kankaala, Taina Rajavaara, Päivi Kestilä, Maria Väisänen, Minna Vähänikkilä, Hannu Laitala, Marja-Liisa Anttonen, Vuokko Int Dent J Scientific Research Report OBJECTIVES: Dental fear is common and yet often remains unrecognised. COVID-19 has challenged health care since 2020. This study aimed to evaluate patients’ self-reported dental fear and detection of dental fear by the dentists. Another aim was to validate a colour code instrument for estimating dental fear. The influence of COVID-19 on fear and attendance was assessed. METHODS: A cross-sectional survey was conducted in the primary urgent dental care of Oulu, Finland, in spring 2020 and 2021 after the first (T1) and third waves (T2) of the pandemic. Data were obtained for analyses using the Modified Dental Anxiety Scale (MDAS), Facial Image Scale (FIS), and a new “traffic light” colour code for dental fear (CCF). The influence of COVID-19 on dental fear and attendance was assessed with structured and open-ended questions. The questionnaires were completed by 273 anonymous participants. RESULTS: Of the participants, 167 (61.2%) visited dental care during T1 and 106 (38.8%) during T2. Their mean age was 45.1 years. An MDAS score of 19 or above, indicating severe fear, was reported by 10.6% of the participants. Of those with severe dental fear, 87% chose the red colour in the CCF “traffic light” system. The association between dentists’ and participants’ estimation of dental fear was weak (P < .001) and agreement with the red code was nonexistent (Cohen's kappa value = −0.035). MDAS scores of the younger participants were higher than those of the older ones after the first wave (T1) (P = .021). COVID-19 had the strongest influence on dental attendance and dental fear of those having the most severe self-reported dental fear as measured by the MDAS. CONCLUSIONS: Colour-coded traffic lights seem valid for screening severe dental fear and are easy and quick to use. They could be useful tools especially since recognising dental fear seems difficult for dentists. The COVID-19 pandemic has complicated dental care for the most fearful individuals. Elsevier 2022-07-30 /pmc/articles/PMC10023586/ /pubmed/35918206 http://dx.doi.org/10.1016/j.identj.2022.06.018 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Scientific Research Report
Kankaala, Taina
Rajavaara, Päivi
Kestilä, Maria
Väisänen, Minna
Vähänikkilä, Hannu
Laitala, Marja-Liisa
Anttonen, Vuokko
Methods Helping Dentists to Detect Dental Fear
title Methods Helping Dentists to Detect Dental Fear
title_full Methods Helping Dentists to Detect Dental Fear
title_fullStr Methods Helping Dentists to Detect Dental Fear
title_full_unstemmed Methods Helping Dentists to Detect Dental Fear
title_short Methods Helping Dentists to Detect Dental Fear
title_sort methods helping dentists to detect dental fear
topic Scientific Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023586/
https://www.ncbi.nlm.nih.gov/pubmed/35918206
http://dx.doi.org/10.1016/j.identj.2022.06.018
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