Willingness to Pay for Preventive Dental Care Amongst Older Adults.

OBJECTIVE: The aims of this study were (1) to investigate willingness to pay (WTP) for preventive and curative dental care procedures and (2) to determine the factors that influence older adults' WTP for dental care. METHODOLOGY: Older, independently living adults from Singapore aged 60 years and older and eligible for government-subsidised dental care were nonrandomly recruited for this study. Data were collected using questionnaires and a clinical examination which recorded details of caries experience, number and distribution of posterior occluding contacts, prosthodontic status, and periodontal status. Using a contingent valuation method, participants were asked to rate WTP in Singapore dollars [SGD$] for 4 aspects of care: dental fillings, dental scaling, dental extraction, and disease prevention advice. Negative binomial regression was used to assess the relationship between the predictor variables associated with WTP for dental fillings, scaling, extraction, and preventive advice. RESULTS: The mean value of WTP for a dental filling was SGD$30.23 (SGD$31.05), for scaling was SGD$30.28 (SGD$29.46), for dental extraction was SGD$35.08 (SGD$58.54). In a multivariate model, factors associated with higher WTPfees were as follows: (1) dental filling: age (younger), level of education (higher), and frequency of dental visits (regular); (2) scaling: level of education (higher), agree that dental problems affect overall health, and frequency of dental visits (regular); (3) dental extractions: age (younger), level of education (higher), frequency of dental visits (regular), and prosthodontic status (not wearing); (4) preventive advice: age (younger), gender (male), ethnicity (Chinese), level of education (higher), marital status (married), self-perceived oral health (good), and dental visits (regular). CONCLUSIONS: The findings of our study suggest that older adults are willing to pay most for extraction and least for preventive advice.

Identifying COVID-19 cases in primary care settings

Case identification is an ongoing issue for the COVID-19 epidemic, in particular for outpatient care where physicians must decide which patients to prioritise for further testing. This paper reports tools to classify patients based on symptom profiles based on 236 SARS-CoV-2 positive cases and 564 controls, accounting for the time course of illness at point of assessment. Clinical differentiators of cases and controls were used to derive model-based risk scores. Significant symptoms included abdominal pain, cough, diarrhea, fever, headache, muscle ache, runny nose, sore throat, temperature between 37.5{degrees}C and 37.9{degrees}C, and temperature above 38{degrees}C, but their importance varied by day of illness at assessment. With a high percentile threshold for specificity at 0.95, the baseline model had reasonable sensitivity at 0.67. To further evaluate accuracy of model predictions, we firstly used leave-one-out cross-validation, which confirmed high classification accuracy with an area under the receiver operating characteristic curve of 0.92. For the baseline model, sensitivity decreased to 0.56. Secondly, in a separate ongoing prospective study of 237 COVID-19 and 346 primary care patients presenting with symptoms of acute respiratory infection, the baseline model had a sensitivity of 0.57 and specificity of 0.89, and in retrospective notes review of 100 COVID-19 cases diagnosed in primary care, sensitivity was 0.56. A web-app based tool has been developed for easy implementation as an adjunct to laboratory testing to differentiate COVID-19 positive cases among patients presenting in outpatient settings.

Academy of Medicine-Ministry of Health clinical practice guidelines: attention deficit hyperactivity disorder

The Academy of Medicine (AMS) and the Ministry of Health (MOH) have developed the clinical practice guidelines on Attention Deficit Hyperactivity Disorder (ADHD) to provide doctors and patients in Singapore with evidence-based treatment for ADHD. This article reproduces the introduction and executive summary (with recommendations from the guidelines) from the MOH clinical practice guidelines on ADHD, for the information of SMJ readers. Chapters and page numbers mentioned in the reproduced extract refer to the full text of the guidelines, which are available from the Ministry of Health website: http://www.moh.gov.sg/content/moh_web/healthprofessionalsportal/doctors/guidelines/cpg_medical.html.The recommendations should be used with reference to the full text of the guidelines. Following this article are multiple choice questions based on the full text of the guidelines.