METHODS: A total of 1210 participants 60 years and above, representing the three main ethnic groups were recruited from a larger cohort study. Weighted factors valued for comparison included socio demographics and health status. Knowledge of and attitude and behaviour towards personal oral health were also assessed. Dentition status, adapted from WHO oral health guidelines, was the dependent variable investigated. Data were analysed using descriptive chi square test and multivariate binary logistic regression.
RESULTS: Overall, 1187 respondents completed the study. The dentition status and oral health related knowledge, attitude and behaviour varied between the three ethnic groups. The Chinese were significantly less likely to have ≥13 missing teeth (OR = 0.698, 95% CI: 0.521-0.937) and ≥1 decayed teeth (0.653; 0.519-0.932) compared to the Malays, while the Indians were significantly less likely than the Malays to have ≥1 decayed teeth (0.695; 0.519-0.932) and ≥2 filled teeth (0.781; 0.540-1.128).
CONCLUSION: Ethnic differences in dentition outcome are related to oral health utilization highlighting the influence of cultural differences and the need for culturally sensitivity interventions.
OBJECTIVES: To evaluate the psychometric properties of the translated Indonesian version of the Nursing Home Survey on Patient Safety Culture (NHSOPSC-INA).
METHODS: This study was a cross-sectional survey conducted using NHSOPSC-INA. A total of 258 participants from 20 NH in Indonesia were engaged. Participants included NH managers, caregivers, administrative staff, nurses and support staff with at least junior high school education. The SPSS 23.0 was used for descriptive data analysis and internal consistency (Cronbach's alpha) estimation. The AMOS (version 22) was used to perform confirmatory factor analysis (CFA) on the questionnaire's dimensional structure.
RESULTS: The NHSOPSC CFA test originally had 12 dimensions with 42 items and was modified to eight dimensions with 26 items in the Indonesian version. The deleted dimensions were 'Staffing' (4 items), 'Compliance with procedure' (3 items), 'Training and skills' (3 items), 'non-punitive response to mistakes' (4 items) and 'Organisational learning' (2 items). The subsequent analysis revealed an accepted model with 26 NHSOPSC-INA items (root mean square error of approximation = 0.091, comparative fit index = 0.815, Tucker-Lewis index = 0.793, CMIN = 798.488, df = 291, CMIN/Df = 2.74, GFI = 0.782, AGFI = 0.737, p
METHODS: This study included all doctors working in the EDs of three teaching hospitals. A 17-item online survey instrument that collected information on sex, experience, perceived prevalence, perception, and practice of cognitive assessment was distributed through electronic mail and data messaging services.
RESULTS: Of the 210 participants, 72 were male. The estimated mean with standard deviation prevalence of cognitive impairment in older patients in the ED was 39.5%±19.7%. Among the participating ED doctors, 75.8% performed cognitive testing up to 10% of the time. Moreover, the participants ranked cognitive impairment the lowest compared to the other four chronic conditions in terms of its impact on hospitalization outcomes. Multiple linear regression revealed that the doctors' perceptions of the responsible personnel and the importance of cognitive testing, as well as their lack of expertise, were independently associated with the frequency of testing.
CONCLUSION: Lack of expertise, perception of the importance of cognitive testing, and lack of consensus on which discipline is responsible for performing cognitive testing in older patients in the ED were the limiting factors in performing cognitive testing in the ED. Improving perception and awareness of the importance of cognitive assessment as a screening tool could improve the detection and overall management of older patients.