Abstract:Background
There is no recent information about dental service utilization (DSU) among elderly in Lithuania. We examined DSU and its associated factors in Lithuanian early elderly based on the Andersen’s behavioural model.
Methods
The cross-sectional study conducted in 2017–2019 included a nationally representative stratified sample of 370 Lithuanian early elderly aged 65–74 years (response rate of 54.5%). Information on predisposing factors (age, … Show more
“…The proportion of participants reporting the last dental visit within the last year increased in both age groups. A recent study indicated that the majority of 65-74-year-old Lithuanians needed dental treatment; however, only approximately two-thirds of them visited a dentist during the last year [Drachev et al, 2022]. The authors concluded the need for more studies to examine the barriers and facilitators to dental service utilization and to establish a national oral health program for the Lithuanian elderly emphasizing the value of regular preventive dental examinations.…”
Aim. To examine the 20-year trend in dental caries and associated determinants among adults in Lithuania after the country restored its independence. Material and methods. Data from two cross-sectional national surveys included samples of 35-44-year-olds (adults) and 65-74-year-olds (early elderly). The 1997/1998 survey (first survey) recruited a stratified random sample of 570 individuals from 10 selected areas in Lithuania (response rate 52%) and the 2017/2019 survey (second survey) recruited a stratified random sample of 723 individuals from 5 biggest Lithuanian cities and one randomly selected peri-urban/rural area from each of 10 Lithuanian counties (response rate 53%). The information about the social (sex, residence, education) and behavioral (tooth brushing frequency, use of fluoridated toothpaste and last dental visit) determinants was collected via self-reports using the World Health Organization (WHO) Oral Health Questionnaire for Adults questions. Information about the fluoride level in the drinking water was retrieved from the water suppliers. Dental caries was recorded at the surface level following the WHO criteria by two calibrated examiners, one at each of the national surveys. Bivariate and multivariate analyses were used. Results. According to multivariable negative binomial regression analysis, in adults, a 67% lower DS scores (IRR 0.33, 95%CI 0.26-0.42) and in early elderly a 47% lower DS scores (IRR 0.53, 95%CI 0.38-0.74) were observed in the second survey. Adults in the second survey (vs. first survey) had 62% lower MT scores (IRR 0.38, 95%CI 0.32-0.46), and the early elderly had 19% lower MT scores (IRR 0.81, 95%CI 0.72-0.92). Adults in the second survey had a 21% lower DMFT scores (IRR 0.79, 95%CI 0.73-0.85). The changes in behavioral determinants were observed over the 20-year period. Conclusion. An improvement in dental health during the 20-year period, mainly related to reduction in untreated caries and missing teeth, was observed in adults and early elderly. However, early elderly still had high numbers of missing teeth. The decrease in total caries experience during the 20 years was significant only in adults. Our findings support an urgent need to design and implement national oral health promotion and prevention programs with increased focus on oral self-care and fluoridated toothpaste use.
“…The proportion of participants reporting the last dental visit within the last year increased in both age groups. A recent study indicated that the majority of 65-74-year-old Lithuanians needed dental treatment; however, only approximately two-thirds of them visited a dentist during the last year [Drachev et al, 2022]. The authors concluded the need for more studies to examine the barriers and facilitators to dental service utilization and to establish a national oral health program for the Lithuanian elderly emphasizing the value of regular preventive dental examinations.…”
Aim. To examine the 20-year trend in dental caries and associated determinants among adults in Lithuania after the country restored its independence. Material and methods. Data from two cross-sectional national surveys included samples of 35-44-year-olds (adults) and 65-74-year-olds (early elderly). The 1997/1998 survey (first survey) recruited a stratified random sample of 570 individuals from 10 selected areas in Lithuania (response rate 52%) and the 2017/2019 survey (second survey) recruited a stratified random sample of 723 individuals from 5 biggest Lithuanian cities and one randomly selected peri-urban/rural area from each of 10 Lithuanian counties (response rate 53%). The information about the social (sex, residence, education) and behavioral (tooth brushing frequency, use of fluoridated toothpaste and last dental visit) determinants was collected via self-reports using the World Health Organization (WHO) Oral Health Questionnaire for Adults questions. Information about the fluoride level in the drinking water was retrieved from the water suppliers. Dental caries was recorded at the surface level following the WHO criteria by two calibrated examiners, one at each of the national surveys. Bivariate and multivariate analyses were used. Results. According to multivariable negative binomial regression analysis, in adults, a 67% lower DS scores (IRR 0.33, 95%CI 0.26-0.42) and in early elderly a 47% lower DS scores (IRR 0.53, 95%CI 0.38-0.74) were observed in the second survey. Adults in the second survey (vs. first survey) had 62% lower MT scores (IRR 0.38, 95%CI 0.32-0.46), and the early elderly had 19% lower MT scores (IRR 0.81, 95%CI 0.72-0.92). Adults in the second survey had a 21% lower DMFT scores (IRR 0.79, 95%CI 0.73-0.85). The changes in behavioral determinants were observed over the 20-year period. Conclusion. An improvement in dental health during the 20-year period, mainly related to reduction in untreated caries and missing teeth, was observed in adults and early elderly. However, early elderly still had high numbers of missing teeth. The decrease in total caries experience during the 20 years was significant only in adults. Our findings support an urgent need to design and implement national oral health promotion and prevention programs with increased focus on oral self-care and fluoridated toothpaste use.
“…For example, previous studies have reported the presence of teeth as an important factor in the utilization of dental services. [29][30][31] Thus, longitudinal studies are necessary to support the causative effects between the last dental visit and complete tooth loss.…”
Section: Discussionmentioning
confidence: 99%
“…Although we found the last dental visit and several other exploratory variables to be strongly associated with the outcome of complete edentulism in our analysis, we are unable to provide strong evidence for causation. For example, previous studies have reported the presence of teeth as an important factor in the utilization of dental services 29–31 . Thus, longitudinal studies are necessary to support the causative effects between the last dental visit and complete tooth loss.…”
AimsEdentulism is an incapacitating condition, and its prevalence is unequal among different population groups in the United States (US) despite its declining prevalence. This study aimed to investigate the current prevalence, apply Machine Learning (ML) Algorithms to investigate factors associated with complete tooth loss among older US adults, and compare the performance of the models.MethodsThe cross‐sectional 2020 Behavioral Risk Factor Surveillance System (BRFSS) data was used to evaluate the prevalence and factors associated with edentulism. ML models were developed to identify factors associated with edentulism utilizing seven ML algorithms. The performance of these models was compared using the area under the receiver operating characteristic curve (AUC).ResultsAn overall prevalence of 11.9% was reported. The AdaBoost algorithm (AUC = 84.9%) showed the best performance. Analysis showed that the last dental visit, educational attainment, smoking, difficulty walking, and general health status were among the top factors associated with complete edentulism.ConclusionFindings from our study support the declining prevalence of complete edentulism in older adults in the US and show that it is possible to develop a high‐performing ML model to investigate the most important factors associated with edentulism using nationally representative data.
“…Previous research that has used the Andersen model to assess socioeconomic disparities in the utilization of dental services has shown that enabling factors are key predictors [30]. Significant socioeconomic predictors included income [31][32][33][34][35][36][37], education [32,33,[35][36][37][38][39][40][41][42], wealth [32,41], dental health insurance coverage [32,35,40,43,44], and social support [28,34,43]. One study in Saudi Arabia used the Andersen model to investigate the utilization of dental services but only among children [45].…”
Section: Using the Andersen Healthcare Utilization Model As A Theoret...mentioning
Background
This study used the Anderson Behavioral Model to assess the socioeconomic inequalities in dental services utilization among adults in Saudi Arabia, along with other predictors of utilization, to inform future planning of dental care services.
Methods
This cross-sectional study was a secondary analysis using national data from the 2019 Kingdom of Saudi Arabia World Health Survey (KSAWHS). The survey consisted of two interviewer-administered questionnaires: one household and one individual interview. The questions covered predisposing factors (age, gender, marital status, nationality, education, employment), enabling factors (income, household wealth, area-based socioeconomic class, health insurance, eligibility for free governmental health care, transportation and region of residence) and self-reported need for dental treatment. The main outcome was dental utilization in the past year; predisposing, enabling and need factors were independent variables. Hierarchical logistic regression analyses identified significant predictors of dental utilization, applying survey weights to adjust for the complex survey design. Adjusted odds ratios with 95% confidence intervals and p values were reported in the final model.
Results
The final dataset included 8535 adults (response rate = 95.4%). Twenty percent of adults had visited the dentist at least once in the past year (95% CI 18–21%). There were socioeconomic inequalities in dental utilization. High household income (OR 1.43, p = 0.043), second and middle household wealth status (OR 1.51, p = 0.003 and OR 1.57, p = 0.006) and access to free governmental health care (OR 2.05, p = 0.004) were significant predictors in the final regression model along with perceived need for dental treatment (OR 52.09, p < 0.001).
Conclusion
Socioeconomic inequalities in the utilization of dental services exist in Saudi Arabia. The need for treatment was the strongest predictor suggesting predominantly symptomatic attendance. Increasing awareness about the importance of preventive dental visits rather than symptomatic attendance could be an important policy implication to improve oral health and optimize dental care expenditure. Further research should explore the drivers for adults to seek preventive care in the absence of any recognized dental problems.
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