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  1. NUNN JF
    Lancet, 1954 Feb 13;266(6807):361-3.
    PMID: 13131861
  2. Faulks D, Dougall A, Ting G, Ari T, Nunn J, Friedman C, et al.
    Eur J Dent Educ, 2018 May;22(2):e278-e290.
    PMID: 28940883 DOI: 10.1111/eje.12292
    INTRODUCTION: Recommended curricula in Special Care Dentistry (SCD) outline learning objectives that include the domain of attitudes and behaviours, but these are notoriously difficult to measure. The aims of this study were (i) to develop a test battery comprising adapted and new scales to evaluate values, attitudes and intentions of dental students towards people with disability and people in marginalised groups and (ii) to determine reliability (interitem consistency) and validity of the scales within the test battery.

    MATERIALS AND METHODS: A literature search identified pre-existing measures and models for the assessment of attitudes in healthcare students. Adaptation of three pre-existing scales was undertaken, and a new scale was developed based upon the Theory of Planned Behaviour (TPB) using an elicitation survey. These scales underwent a process of content validation. The three adapted scales and the TPB scale were piloted by 130 students at 5 different professional stages, from 4 different countries.

    RESULTS: The scales were adjusted to ensure good internal reliability, variance, distribution, and face and content validity. In addition, the different scales showed good divergent validity.

    DISCUSSION: These results are positive, and the scales now need to be validated in the field.

    CONCLUSIONS: It is hoped that these tools will be useful to educators in SCD to evaluate the impact of teaching and clinical exposure on their students.

  3. Mac Giolla Phadraig C, Kammer PV, Asimakopoulou K, Healy O, Fleischmann I, Buchanan H, et al.
    Community Dent Oral Epidemiol, 2023 Dec;51(6):1065-1077.
    PMID: 37368479 DOI: 10.1111/cdoe.12890
    INTRODUCTION: There is no agreed taxonomy of the techniques used to support patients to receive professional oral healthcare. This lack of specification leads to imprecision in describing, understanding, teaching and implementing behaviour support techniques in dentistry (DBS).

    METHODS: This review aims to identify the labels and associated descriptors used by practitioners to describe DBS techniques, as a first step in developing a shared terminology for DBS techniques. Following registration of a protocol, a scoping review limited to Clinical Practice Guidelines only was undertaken to identify the labels and descriptors used to refer to DBS techniques.

    RESULTS: From 5317 screened records, 30 were included, generating a list of 51 distinct DBS techniques. General anaesthesia was the most commonly reported DBS (n = 21). This review also explores what term is given to DBS techniques as a group (Behaviour management was most commonly used (n = 8)) and how these techniques were categorized (mainly distinguishing between pharmacological and non-pharmacological).

    CONCLUSIONS: This is the first attempt to generate a list of techniques that can be selected for patients and marks an initial step in future efforts at agreeing and categorizing these techniques into an accepted taxonomy, with all the benefits this brings to research, education, practice and patients.

  4. Mac Giolla Phadraig C, Healy O, Fisal AA, Yarascavitch C, van Harten M, Nunn J, et al.
    PMID: 38516782 DOI: 10.1111/cdoe.12953
    OBJECTIVES: Dental behaviour support (DBS) describes all specific techniques practiced to support patients in their experience of professional oral healthcare. DBS is roughly synonymous with behaviour management, which is an outdated concept. There is no agreed terminology to specify the techniques used to support patients who receive dental care. This lack of specificity may lead to imprecision in describing, understanding, teaching, evaluating and implementing behaviour support techniques in dentistry. Therefore, this e-Delphi study aimed to develop a list of agreed labels and descriptions of DBS techniques used in dentistry and sort them according to underlying principles of behaviour.

    METHODS: Following a registered protocol, a modified e-Delphi study was applied over two rounds with a final consensus meeting. The threshold of consensus was set a priori at 75%. Agreed techniques were then categorized by four coders, according to behavioural learning theory, to sort techniques according to their mechanism of action.

    RESULTS: The panel (n = 35) agreed on 42 DBS techniques from a total of 63 candidate labels and descriptions. Complete agreement was achieved regarding all labels and descriptions, while agreement was not achieved regarding distinctiveness for 17 techniques. In exploring underlying principles of learning, it became clear that multiple and differing principles may apply depending on the specific context and procedure in which the technique may be applied.

    DISCUSSION: Experts agreed on what each DBS technique is, what label to use, and their description, but were less likely to agree on what distinguishes one technique from another. All techniques were describable but not comprehensively categorizable according to principles of learning. While objective consistency was not attained, greater clarity and consistency now exists. The resulting list of agreed terminology marks a significant foundation for future efforts towards understanding DBS techniques in research, education and clinical care.

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