Factors associated with perceived unmet dental care needs of older adults

Chae, Songi; Lee, Yunhwan; Kim, Jinhee; Chun, Ki Hong; Lee, Jeong Keun

doi:10.1111/ggi.12997

Cited by 27 publications

(33 citation statements)

References 16 publications

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“…This confirms what has been shown by Edelstein et al that children living in poverty consistently suffer from more tooth decay and have more unmet dental care needs than do their more affluent peers [ 14 ]. Additionally, research conducted by Chae et al confirmed that the socioeconomically vulnerable elder population were more likely to experience high levels of unmet dental care needs [ 36 ]. Both the geriatric population and populations living in less affluent socioeconomic conditions are more likely to have public dental insurance such as Medicaid, which contributes to greater unmet dental care.…”

Section: Discussionmentioning

confidence: 99%

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

Hung

Hon

Ruiz‐Negrón

et al. 2020

IJERPH

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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.

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Section: Discussionmentioning

confidence: 99%

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

Hung

Hon

Ruiz‐Negrón

et al. 2020

IJERPH

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“…Responses on predictor variable of dental service utilization in the past and participants belief on regular dental visit were assessed using single questionnaire each. A questionnaire, adapted from Chae et al (12) and modi ed, was used to assess outcome variable of interest on perceived unmet dental care need by asking whether they were unable to seek dental treatment. Whereas, the responses for qualitative component were obtained, using structured questionnaire, from participants who responded to have been unable to seek dental treatment due to COVID-19 outbreak.…”

Section: Study Variablementioning

confidence: 99%

Impact of COVID-19 Outbreak in Dental Service Utilization Reported by Patients Visiting a Tertiary Care Centre: Mixed Quantitative-qualitative Study

Shrestha

Bhagat

Agrawal

et al. 2020

Preprint

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Background: COVID-19 poses a major public health calamity. Its wider impact on health service utilization is yet to be studied. The study aims to assess dental problems faced by patients during the COVID-19 outbreak and the possible reasons in failing to seek dental careMethods: A cross-sectional quantitative-qualitative design was employed to assess the outcomes among patients reporting to a tertiary care centre. Participants were selected by convenient sampling and interviewed using structured questionnaire. Responses were transcribed, translated and coded before analyzing for the themes by thematic analysis. Quantitative component of the study was analyzed by descriptive and inferential methods.Result: Mean age of the participants was 43.7 years (SD: 16.1). Most of them (63%) reported not having had an oral examination in the past year while 62% reported being unable to seek dental treatment during the pandemic. Pain, sequelae of pain and other self-perceived urgent causes were identified as the major problems faced by the participant. Similarly, the reasons for not being able to seek dental treatment were grouped as fear of transmission, lack of transportation and lockdown, unavailability of health services, misinformation, lack of communication from hospital regarding its services, and deferred treatment by the hospitals.Conclusion: Pain remains the ultimate trigger for care seeking behaviour. Dental service utilization was reported to be influenced by a number of factors during COVID-19. The pandemic seemed to add up to the already pre-existing dilemma in seeking dental care. A conceptual framework has been suggested to aid further researches in the future for looking into the impacts from such pandemics.

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“…Poor oral health habits have been associated with higher caries and periodontal diseases prevalence, which, in turn, increases the risk of tooth loss [ 12 ]. The frequency of dental care and the availability of dental services may affect the number of remaining teeth in the later stages of life [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

The burden of tooth loss in Italian elderly population living in nursing homes

et al. 2018

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BackgroundThis survey aims to evaluate the prevalence and severity of tooth loss in the Italian elderly population living in nursing homes and to associate the oral data with demographic, socioeconomic factors, the Mini-Mental State Examination (MMSE), the Body Mass Index (BMI) and the Mini Nutritional Assessment (MNA) scores.MethodsA cluster sample method was performed using each nursing home as a cluster. Twenty-three nursing homes located in the five areas of the Italy (North-West, North-East, Centre, South and Islands) were selected. An informed consent to participate was distributed by the personnel of the selected nursing homes and signed directly by subjects/caregivers; 2114 forms were distributed, 1998 forms signed and finally 1976 subjects were examined. Chewing ability was scored as good (≥10 functional units (FUs)), sufficient (7–10 FUs), and insufficient (< 7 FUs). The presence of prosthetic dental restorations was summarized as: absent of prosthesis, fixed prosthesis, removable prosthesis, combined prosthesis. Age, gender, socioeconomic status, MMSE, BMI and MNA were obtained from medical charts.ResultsAlmost three quarters of the subjects were ≥ 80 years old (74.37%) and women (74.04%). The prevalence of edentulism was 42.10% with a large variation among the five areas of Italy (from 34.43% in Centre to 53.46% in North-West). Insufficient presence of FUs was preeminent in each age group (prevalence 42.10%) and statistically associated to age and to female gender (p < 0.01). Overweight/obese (7.47%) subjects showed the highest FUs. Area of living, MMSE (both < 0.01), BMI (p = 0.01) were statistically significant associated to the type of prosthetic dental restorations in the oldest group. Subjects with no mental impairment showed the highest percentage of prosthetic dental restorations (32.36%).ConclusionsMore than half of the sample has an insufficient number of functional units for chewing and this is more pronounced in females. The presence and the type of prosthetic dental restorations are linked to cognitive impairment: the higher is the mental impairment the higher is the number of subjects with absence of prosthetic restorations. The findings of this national survey highlight the need for public health policy, aiming to increase awareness regarding oral health though health education.Electronic supplementary materialThe online version of this article (10.1186/s12877-018-0760-0) contains supplementary material, which is available to authorized users.

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Factors associated with perceived unmet dental care needs of older adults

Abstract: Unmet dental care needs are prevalent in older people who are socioeconomically disadvantaged and vulnerable in oral health. Geriatr Gerontol Int 2017; 17: 1936-1942.

Cited by 27 publications

References 16 publications

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

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

Impact of COVID-19 Outbreak in Dental Service Utilization Reported by Patients Visiting a Tertiary Care Centre: Mixed Quantitative-qualitative Study

The burden of tooth loss in Italian elderly population living in nursing homes

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