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  1. Horn R, Heng C, Chea C, Sieng C, Louv C, Turton B, et al.
    Gerodontology, 2018 Mar;35(1):45-50.
    PMID: 29226455 DOI: 10.1111/ger.12315
    OBJECTIVE: Older adults (those above the age of 60) are an emerging demographic in Cambodia, and very little is understood about their oral health experiences, needs, perceptions and behaviours. The aim of this study was to explore the oral health experiences, practices and perceptions of a convenience sample of a small but diverse group of older adults in Cambodia.

    METHOD: A cross-sectional qualitative study in which focus group interviews were conducted by 5 trained senior Cambodian dental students. A convenience sample of 56 older adults and caregivers was recruited across urban, semi-urban and rural locations. Focus group conversations were recorded, transcribed and analysed thematically.

    RESULTS: The themes that emerged were around low expectations for both general health and oral health. A communal responsibility for health was expressed, and both money and transport were identified as key barriers to accessing care. Participants recognised that they had oral health problems, and acknowledged the impact of poor oral function on health and nutrition.

    CONCLUSION: This study is an important first step in better understanding the oral health experiences and perceptions of older people in Cambodia. Participants described the impacts of poor oral health as being important, even when compared with other general health conditions.

  2. Thomson WM, Foster Page LA, Robinson PG, Do LG, Traebert J, Mohamed AR, et al.
    Community Dent Oral Epidemiol, 2016 12;44(6):549-556.
    PMID: 27477903 DOI: 10.1111/cdoe.12248
    OBJECTIVE: To examine the factor structure and other psychometric characteristics of the most commonly used child oral-health-related quality-of-life (OHRQoL) measure (the 16-item short-form CPQ11-14 ) in a large number of children (N = 5804) from different settings and who had a range of caries experience and associated impacts.

    METHODS: Secondary data analyses used subnational epidemiological samples of 11- to 14-year-olds in Australia (N = 372), New Zealand (three samples: 352, 202, 429), Brunei (423), Cambodia (244), Hong Kong (542), Malaysia (439), Thailand (220, 325), England (88, 374), Germany (1055), Mexico (335) and Brazil (404). Confirmatory factor analysis (CFA) was used to examine the factor structure of the CPQ11-14 across the combined sample and within four regions (Australia/NZ, Asia, UK/Europe and Latin America). Item impact and internal reliability analysis were also conducted.

    RESULTS: Caries experience varied, with mean DMFT scores ranging from 0.5 in the Malaysian sample to 3.4 in one New Zealand sample. Even more variation was noted in the proportion reporting only fair or poor oral health; this was highest in the Cambodian and Mexican samples and lowest in the German sample and one New Zealand sample. One in 10 reported that their oral health had a marked impact on their life overall. The CFA across all samples revealed two factors with eigenvalues greater than 1. The first involved all items in the oral symptoms and functional limitations subscales; the second involved all emotional well-being and social well-being items. The first was designated the 'symptoms/function' subscale, and the second was designated the 'well-being' subscale. Cronbach's alpha scores were 0.72 and 0.84, respectively. The symptoms/function subscale contained more of the items with greater impact, with the item 'Food stuck in between your teeth' having greatest impact; in the well-being subscale, the 'Felt shy or embarrassed' item had the greatest impact. Repeating the analyses by world region gave similar findings.

    CONCLUSION: The CPQ11-14 performed well cross-sectionally in the largest analysis of the scale in the literature to date, with robust and mostly consistent psychometric characteristics, albeit with two underlying factors (rather than the originally hypothesized four-factor structure). It appears to be a sound, robust measure which should be useful for research, practice and policy.

  3. Baker SR, Foster Page L, Thomson WM, Broomhead T, Bekes K, Benson PE, et al.
    J Dent Res, 2018 09;97(10):1129-1136.
    PMID: 29608864 DOI: 10.1177/0022034518767401
    Much research on children's oral health has focused on proximal determinants at the expense of distal (upstream) factors. Yet, such upstream factors-the so-called structural determinants of health-play a crucial role. Children's lives, and in turn their health, are shaped by politics, economic forces, and social and public policies. The aim of this study was to examine the relationship between children's clinical (number of decayed, missing, and filled teeth) and self-reported oral health (oral health-related quality of life) and 4 key structural determinants (governance, macroeconomic policy, public policy, and social policy) as outlined in the World Health Organization's Commission for Social Determinants of Health framework. Secondary data analyses were carried out using subnational epidemiological samples of 8- to 15-y-olds in 11 countries ( N = 6,648): Australia (372), New Zealand (three samples; 352, 202, 429), Brunei (423), Cambodia (423), Hong Kong (542), Malaysia (439), Thailand (261, 506), United Kingdom (88, 374), Germany (1498), Mexico (335), and Brazil (404). The results indicated that the type of political regime, amount of governance (e.g., rule of law, accountability), gross domestic product per capita, employment ratio, income inequality, type of welfare regime, human development index, government expenditure on health, and out-of-pocket (private) health expenditure by citizens were all associated with children's oral health. The structural determinants accounted for between 5% and 21% of the variance in children's oral health quality-of-life scores. These findings bring attention to the upstream or structural determinants as an understudied area but one that could reap huge rewards for public health dentistry research and the oral health inequalities policy agenda.
  4. Stamm TA, Omara M, Bakerc SR, Foster Page L, Thomson WM, Benson PE, et al.
    J Dent, 2020 02;93:103267.
    PMID: 31866414 DOI: 10.1016/j.jdent.2019.103267
    OBJECTIVE: To be fit-for-purpose, oral health-related quality of life instruments must possess a range of psychometric properties which had not been fully examined in the 16-item Short Form Child Perceptions Questionnaire for children aged 11 to 14 years (CPQ11-14 ISF-16). We used advanced statistical approaches to determine the CPQ's measurement accuracy, precision, invariance and dimensionality and analyzed whether age range could be extended from 8 to 15 years.

    METHODS: Fit to the Rasch model was examined in 6648 8-to-15-year-olds from Australia, New Zealand, Brunei, Cambodia, Hong Kong, Malaysia, Thailand, Germany, United Kingdom, Brazil and Mexico.

    RESULTS: In all but two items, the initial five answer options were reduced to three or four, to increase precision of the children's selection. Items 10 (Shy/embarrassed) and 11 (Concerned what others think) showed an 'extra' dependency between item scores beyond the relationship related to the underlying latent construct represented by the instrument, and so were deleted. Without these two items, the CPQ was unidimensional. The three oral symptoms items (4 Food stuck in teeth, 3 Bad breath and 1 Pain) were required for a sufficient person-item coverage. In three out of 14 items (21 %), Europe and South America showed regional differences in the patterns of how the answer options were selected. No differential item functioning was detected for age.

    CONCLUSION: Except for a few modifications, the present analysis supports the combination of items, the cross-cultural validity of the CPQ with 14 items and the extension of the age range from 8 to 15 years.

    CLINICAL SIGNIFICANCE: The valid, reliable, shortened and age-extended version of the CPQ resulting from this study should be used in routine care and clinical research. Less items and a wider age range increase its usability. Symptoms items are needed to precisely differentiate between children with higher and lower quality of life.

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