Patients and Methods: A randomized crossover trial was conducted. Sixty participants were randomized to either i) Arm A: completed CTSA then PBA of OHIP-14, or ii) Arm B: PBA and then CTSA of OHIP-14 within the same day. User preference and time taken to complete the assessments were recorded. Agreement between CTSA and PBA was determined using directional difference (DD), absolute difference (AD), and intraclass correlation coefficient (ICC).
Results: There was no significant difference in CTSA and PBA OHIP-14 scores (P>0.05). The magnitude of the DD in scores between assessment methods was small for overall scores and all domains (<0.3). The AD in OHIP-14 scores was small (~6% for overall score, between 8-16% for domains). Agreement between CTSA and PBA was high (ICC=0.9; 95% CI=0.8-0.9) for overall OHIP-14 scores, but ICC values varied across domains. Most (78%) preferred CTSA. There was no significant difference in time taken to complete assessments (P=0.09). Regression analyses did not identify any significant socio-demographic factor associated with absolute difference between CTSA and PBA scores.
Conclusion: There is equivalence of measurements in OHRQoL assessments from CTSA and PBA, and the time taken to complete assessment by either means is similar. There is a greater preference for CTSA. This has implications to support the use of CTSA in OHRQoL assessments.
BACKGROUND: Oral hygiene care following stroke is important as the mouth can act as a reservoir for opportunistic infections that can lead to aspirational pneumonia.
DESIGN: A national cross-sectional survey was conducted in Malaysia among public hospitals where specialist stroke rehabilitation care is provided.
METHODS: All (16) hospitals were invited to participate, and site visits were conducted. A standardised questionnaire was employed to determine nurses' oral health knowledge for stroke care and existing clinical practices for oral hygiene care. Variations in oral health knowledge and clinical practices for oral hygiene care were examined.
RESULTS: Questionnaires were completed by 806 nurses across 13 hospitals. Oral health knowledge scores varied among the nurses; their mean score was 3.7 (SD 1.1) out of a possible 5.0. Approximately two-thirds (63.6%, n = 513) reported that some form of "mouth cleaning" was performed for stroke patients routinely. However, only a third (38.3%, n = 309) reported to perform or assist with the clinical practice of oral hygiene care daily. Their oral health knowledge of stroke care was associated with clinical practices for oral hygiene care (p
OBJECTIVES: The purpose of this study was to systematically review published evidence on the effectiveness of CAL in disseminating oral health care information to patients and caregivers.
MATERIALS AND METHODS: A structured comprehensive search was undertaken among 7 electronic databases (PUBMED, CINAHL Plus, EMBASE, SCOPUS, WEB of SCIENCE, the Cochrane Library, and PsycINFO) to identify relevant studies. Randomized controlled trials (RCTs) and observational studies were included in this review. Papers were screened by 2 independent reviewers, and studies that met the inclusion criteria were selected for further assessment.
RESULTS: A total of 2915 papers were screened, and full texts of 53 potentially relevant papers (κ = 0.885) were retrieved. A total of 5 studies that met the inclusion criteria (1 RCT, 1 quasi-experimental study, and 3 post-intervention studies) were identified. Outcome measures included knowledge, attitude, behavior, and oral health. Significant improvements in clinical oral health parameters (P
MATERIALS AND METHODS: A large scale survey of 13 centers in Malaysia was conducted involving 806 nurses in relation to oral hygiene care intentions and practices. In addition, information on personal and environmental factors was collected.
RESULTS: The response rate was 95.6% (778/806). The domains of the Theory of Planned Behavior were significantly associated with general intention to perform oral hygiene care: attitudes (β = 0.21, p
METHODS: A multicenter randomized clinical trial was conducted on hospitalized stroke survivors. Those in the control group were given standard care of oral hygiene (a manual toothbrush and toothpaste), whereas those in the test group were given intense care of oral hygiene (a powered toothbrush and 1% chlorhexidine oral gel). Oral clinical assessments were carried out, and microbiological samples were collected, using concentrated oral rinse samples at 3 time points: baseline, 3 months, and 6 months.
RESULTS: The prevalence of oral yeast was significantly reduced in the test group at 6 months (P < .05), but no significant difference was observed over time. A significant reduction was observed in the prevalence of Staphylococcus aureus (P < .01) and aerobic and facultative gram-negative bacilli over time (P < .05), but there were no significant differences noted between groups at 6 months. Candida albicans and Klebsiella pneumoniae were the prominent pathogens determined throughout the trial. Kluyvera strains have also been isolated from this cohort.
CONCLUSION: Oral hygiene intervention using a powered tooth brush and 1% chlorhexidine oral gel was effective in reducing the prevalence of oral opportunistic pathogens.
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.
METHODS: Frontal view intraoral photographs fulfilling selection criteria were collected. Along the gingival margin, the gingival conditions of individual sites were labelled as healthy, diseased, or questionable. Photographs were randomly assigned as training or validation datasets. Training datasets were input into a novel artificial intelligence system and its accuracy in detection of gingivitis including sensitivity, specificity, and mean intersection-over-union were analysed using validation dataset. The accuracy was reported according to STARD-2015 statement.
RESULTS: A total of 567 intraoral photographs were collected and labelled, of which 80% were used for training and 20% for validation. Regarding training datasets, there were total 113,745,208 pixels with 9,270,413; 5,711,027; and 4,596,612 pixels were labelled as healthy, diseased, and questionable respectively. Regarding validation datasets, there were 28,319,607 pixels with 1,732,031; 1,866,104; and 1,116,493 pixels were labelled as healthy, diseased, and questionable, respectively. AI correctly predicted 1,114,623 healthy and 1,183,718 diseased pixels with sensitivity of 0.92 and specificity of 0.94. The mean intersection-over-union of the system was 0.60 and above the commonly accepted threshold of 0.50.
CONCLUSIONS: Artificial intelligence could identify specific sites with and without gingival inflammation, with high sensitivity and high specificity that are on par with visual examination by human dentist. This system may be used for monitoring of the effectiveness of patients' plaque control.
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.