The Influence of Dental Insurance on Institutionalized Older Adults in Ranking Their Oral Health Status

Factors associated with regular dental attendance by aged adults: A systematic review

OBJECTIVES

To determine factors influencing regular dental attendance in aged adults 65 and over according to Andersen's Behavioural Model.

BACKGROUND

Regular attendance for dental visits is vital to improve and maintain oral health, quality of life and general well-being. Aged adults 65 years and older experience barriers to regular dental attendance, which in turn leads to an increased risk for oral diseases.

MATERIALS AND METHODS

An electronic search was undertaken in April 2021 in Cochrane, Embase, Medline, Cinahl, Dentistry & Oral Science Source via EBSCOhost and Embase for papers on factors influencing the frequency of attendance by older people. Risk of bias was assessed according to the Newcastle-Ottawa Scale for cohort and case-control studies, and with modified version of this tool for cross-sectional studies. Frequency effect size was calculated for factors described in Andersen's Behavioural Model (predisposing, enabling and needs-related).

RESULTS

Twenty-one studies were eligible for inclusion. Factors frequently investigated affecting regular dental attendance included: age, gender, education (predisposing); income, and social support (enabling); and remaining teeth, pain, perceived health (needs-related). Income was the only factors with a 100% positive association with regular dental attendance.

CONCLUSIONS

This systematic review confirms the complex interconnectedness of several factors and dental attendance in older adults. A number of factors were identified which warrant further investigation to improve access to dental care to socio-economically vulnerable older populations.

Exploring the Intersection between Social Determinants of Health and Unmet Dental Care Needs Using Deep Learning

The goals of this study were to develop a risk prediction model in unmet dental care needs and to explore the intersection between social determinants of health and unmet dental care needs in the United States. Data from the 2016 Medical Expenditure Panel Survey were used for this study. A chi-squared test was used to examine the difference in social determinants of health between those with and without unmet dental needs. Machine learning was used to determine top predictors of unmet dental care needs and to build a risk prediction model to identify those with unmet dental care needs. Age was the most important predictor of unmet dental care needs. Other important predictors included income, family size, educational level, unmet medical needs, and emergency room visit charges. The risk prediction model of unmet dental care needs attained an accuracy of 82.6%, sensitivity of 77.8%, specificity of 87.4%, precision of 82.9%, and area under the curve of 0.918. Social determinants of health have a strong relationship with unmet dental care needs. The application of deep learning in artificial intelligence represents a significant innovation in dentistry and enables a major advancement in our understanding of unmet dental care needs on an individual level that has never been done before. This study presents promising findings and the results are expected to be useful in risk assessment of unmet dental care needs and can guide targeted intervention in the general population of the United States.

Tooth loss and dental caries in community-dwelling older adults in northern Manhattan

OBJECTIVE

To examine tooth loss and dental caries by sociodemographic characteristics from community-based oral health examinations conducted by dentists in northern Manhattan.

BACKGROUND

The ElderSmile programme of the Columbia University College of Dental Medicine serves older adults with varying functional capacities across settings. This report is focused on relatively mobile, socially engaged participants who live in the impoverished communities of Harlem and Washington Heights/Inwood in northern Manhattan, New York City.

MATERIALS AND METHODS

Self-reported sociodemographic characteristics and health and health care information were provided by community-dwelling ElderSmile participants aged 65 years and older who took part in community-based oral health education and completed a screening questionnaire. Oral health examinations were conducted by trained dentists in partnering prevention centres among ElderSmile participants who agreed to be clinically screened (90.8%).

RESULTS

The dental caries experience of ElderSmile participants varied significantly by sociodemographic predictors and smoking history. After adjustment in a multivariable logistic regression model, older age, non-Hispanic Black and Hispanic race/ethnicity, and a history of current or former smoking were important predictors of edentulism.

CONCLUSION

Provision of oral health screenings in community-based settings may result in opportunities to intervene before oral disease is severe, leading to improved oral health for older adults.

A scoping review and research synthesis on financing and regulating oral care in long-term care facilities

BACKGROUND

Oral health care for frail elders is grossly inadequate almost everywhere, and our knowledge of regulating and financing oral care in this context is unclear.

OBJECTIVE

This scoping study examined and summarised the published literature available and the gaps in knowledge about regulating and financing oral care in long-term care (LTC) facilities.

METHODS

We limited the electronic search to reports on regulating and financing oral care, including reports, commentaries, reviews and policy statements on financing and regulating oral health-related services.

RESULTS

The broad electronic search identified 1168 citations, which produced 42 references, including 26 pieces of grey literature for a total of 68 papers. Specific information was found on public and private funding of care and on difficulties regulating care because of professional segregation, difficulties assessing need for care, uncertainty on appropriateness of treatments and issues around scope of professional practice. A wide range of information along with 19 implications and 18 specific gaps in knowledge emerged relevant to financing and regulating oral healthcare services in LTC facilities.

CONCLUSIONS

Effort has been given to enhancing oral care for frail elders, but there is little agreement on how the care should be regulated or financed within the LTC sector.

Residential rurality and oral health disparities: influences of contextual and individual factors

The purposes of the study were (a) to identify disparities between urban and rural adults in oral health and (b) to examine contextual (i.e., external environment and access to dental care) and individual (i.e., predisposing, enabling, and lifestyle behavioral) factors associated with oral health problems in a community population. Study data were derived from a two-stage, telephone-mailed survey conducted in 2006. The subjects were 2,591 adults aged 18 years and older. Cochran-Mantel-Haenszel statistics for categorical variables were applied to explore conditional independence between both health access and individual factors and oral health problems after controlling for the urban or rural residence. Logistic regression was used to investigate the simultaneous associations of contextual and individual factors in both rural and urban areas. Approximately one quarter (24.1%) of the study population reported oral health problems. Participants residing in rural areas reported more oral health disparities. Oral health problems were significantly associated with delaying dental care. These problems also were more common among those who were less educated, were African American, skipped breakfast every day, and currently smoked. The study findings suggest that oral health disparities persist for people in rural areas, and improving oral health status is strongly related to better access to oral health care and improved lifestyles in both rural and urban areas.

Inequalities in access to education and healthcare

The burden of disease is borne by those who suffer as patients but also by society at large, including health service providers. That burden is felt most severely in parts of the world where there is no infrastructure, or foreseeable prospects of any, to change the status quo without external support. Poverty, disease and inequality pervade all the activities of daily living in low-income regions and are inextricably linked. External interventions may not be the most appropriate way to impact on this positively in all circumstances, but targeted programmes to build social capital, within and by countries, are more likely to be sustainable. By these means, basic oral healthcare, underpinned by the primary healthcare approach, can be delivered to more equitably address needs and demands. Education is fundamental to building knowledge-based economies but is often lacking in such regions even at primary and secondary level. Provision of private education at tertiary level may also introduce its own inequities. Access to distance learning and community-based practice opens opportunities and is more likely to encourage graduates to work in similar areas. Recruitment of faculty from minority groups provides role models for students from similar backgrounds but all faculty staff must be involved in supporting and mentoring students from marginalized groups to ensure their retention. The developed world has to act responsibly in two crucial areas: first, not to exacerbate the shortage of skilled educators and healthcare workers in emerging economies by recruiting their staff; second, they must offer educational opportunities at an economic rate. Governments need to lead on developing initiatives to attract, support and retain a competent workforce.