Evaluation of different oral care systems: Results for Germany and selected highly developed countries. An update of a former study

Saekel, Ruediger

doi:10.15761/docr.1000261

Cited by 10 publications

(21 citation statements)

References 16 publications

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“…In countries where oral health is integrated in the national health systems, hypothetically this may contribute to a greater value attributed to oral health, whereas in countries where oral health is based on insurance-based systems, the apprehend value may differ. Preventive and tooth-preserving strategies are the gold standard public measures [ 2 ], yet patients’ adherence to these strategies strongly depend on how they value such care [ 3 , 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Cross-Cultural Adaptation and Validation of the Oral Health Values Scale for the Portuguese Population

Machado¹,

Mendonça²,

Proença

et al. 2022

JPM

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Background: To adapt and validate cross-culturally the Oral Health Values (OHVS) questionnaire to Portuguese language. Methods: The OHVS questionnaire was culturally translated and adapted according to international guidelines. We enrolled 280 patients in a population-based epidemiological survey conducted at the Egas Moniz Dental Clinic (Almada, Portugal). The participants answered the Portuguese version of the OHVS (OHVS-PT), which is a 12-item scale with four-factor structure (Professional Dental Care, Appearance and Health, Flossing and Retaining Natural Teeth factor). Psychometric properties were tested using content validity, construct validity, internal consistency, and test–retest reliability. Results: The OHVS-PT presented adequate reliability (ICC = 0.93, 95% confidence interval (CI): 0.86; 0.97, p < 0.001) with values for the Cronbach’s alpha coefficient of the sub-constructs ranging from 0.92 to 0.98. In the Confirmatory Factor Analysis, the final models presented good fit, with the Comparative Fit Indices ranging from 0.882 to 0.891 and the root-mean-squared error of Approximation between 0.065 and 0.069. Conclusions: The OHVS-PT was shown to be a valid and reliable tool to assess oral health values in a Portuguese population. Further studies should evaluate the psychometric properties of the oral personal representation on dental specialties and its impact on dental appointments and procedures.

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Section: Introductionmentioning

confidence: 99%

Cross-Cultural Adaptation and Validation of the Oral Health Values Scale for the Portuguese Population

Machado¹,

Mendonça²,

Proença

et al. 2022

JPM

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“…It is highly relevant to patients. Tooth loss is thus an epidemiological key variable and is also used to assess the quality of a dental healthcare [5]. Tooth loss exceeding a certain number of teeth has a significant impact on chewing function, nutrition, speech, and esthetics.…”

Section: Introductionmentioning

confidence: 99%

Epidemiological trends, predictive factors, and projection of tooth loss in Germany 1997–2030: part I. missing teeth in adults and seniors

Jordan¹,

Stark

Nitschke

et al. 2020

Clin Oral Invest

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Objective This is the first part of a report on tooth loss in Germany 1997–2030. Here, we describe trends in the prevalence of tooth loss in adults and seniors 1997–2014, assess predictive factors for tooth loss and projected it into 2030. Material and methods Data of the cross-sectional, multi-center, nationally representative German Oral Health Studies of 1997, 2005, and 2014 were used. Age, sex, educational level, smoking status, and the cohort were used for ordinary least square regression to assess the association of predictors with tooth loss (missing teeth, MT). The yielded regression coefficients were used to predict tooth loss in 2030. Results Compared with 1997, the mean MT in adults (35–44 years old) in 2030 was predicted to decrease by two-thirds to 1.3. The prevalence of tooth loss (MT > 0) will decrease by 72% from 1997 to 2030. In 2030, half of the population of adults will not exhibit any tooth loss. Compared with 1997, the mean MT among seniors (65–74 years old) will decline to 5.6 teeth (i. e. two-thirds reduction) until 2030. Prevalence of tooth loss will be halved by 2030, and approximately one-third of this age group will not exhibit any tooth loss. Conclusions Based on the model used, the trend of a robust decline in tooth loss will become more dynamic by the year 2030. As a result, every second adult will have experienced no tooth loss at all in 2030, and seniors will possess more teeth than they have previously lost. Clinical relevance This study presents the trends of tooth loss in Germany for a period of three decades. It provides clinically relevant data for health care planning by 2030.

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“…dental care), high out-of-pocket expenses, and other cost participation plans, which eventually constitute major financial barriers in healthcare access and use by socioeconomically deprived groups, characterized by a low education, a low occupation, and a low income ( Bazin et al, 2006 , Petrelli et al, 2019 , Guessous, 2011 , Feral-Pierssens et al, 2020 , van Doorslaer et al, 2000 , Guessous et al, 2014 ). In particular, we observed that dental care was the most common type of care forgone, which is explained by the fact that dental care is not included in the mandatory health insurance plan in Switzerland, and may constitute a major financial burden for economically disadvantaged individuals ( Guessous et al, 2014 , Sandoval et al, 2021 , Saekel, 2016 ). Furthermore, previous research has also highlighted the role of psychosocial factors, such as personal beliefs, fear of stigma, or mistrust in the medical system, which are often driven by socioeconomic and cultural determinants (i.e.…”

Section: Discussionmentioning

confidence: 99%

Health-related biological and non-biological consequences of forgoing healthcare for economic reasons

Petrović

Marcus²,

Sandoval³

et al. 2021

Preventive Medicine Reports

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Forgoing healthcare for economic reasons has been previously associated with adverse health outcomes, including a higher risk of hospitalization, a lower quality of life, and worse self-reported health. However, the exact cause-to-effect relation between forgoing healthcare and health-related outcomes has been insufficiently described. Here, we investigate the prospective health consequences of forgoing healthcare for economic reasons using data from “ReBus” (N = 400), a prospective study examining the health consequences of forgoing healthcare (Baseline: 2008–2013, Follow-up: 2014–2016). Using regression models, we explored the baseline determinants of forgoing healthcare, including socioeconomic, demographic, and pre-existing health-risk factors, and examined the associations between forgoing healthcare at baseline and health deterioration at follow-up, using highly pertinent biomarkers (glucose, glycated hemoglobin, lipids, blood pressure) and SF-36 questionnaire data. Low income, low occupation, low education, and smoking were associated with higher odds of forgoing healthcare at baseline. Forgoing healthcare for economic reasons at baseline was subsequently related to detrimental changes in glucose, high-density lipoprotein cholesterol (HDL), and blood pressure (BP) at follow-up, independently of baseline socioeconomic factors (Glucose-β = 0.19, 95%CI[0.03;0.34], HDL-β = -0.07, 95%CI[-0.14;0.01], BP-β = 3.30, 95%CI[-0.01;6.60]). Moreover, we found strong associations between forgoing healthcare and adverse SF-36 health scores at follow-up, with individuals forgoing healthcare systematically displaying worse health scores (6%–11% lower scores). For the first time, we show that forgoing healthcare for economic reasons predicts adverse health-related consequences 2–8 years later. Our findings shall further encourage the implementation of public health measures aimed at identifying individuals who forgo healthcare and preventing the adverse health consequences of unmet medical needs.

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Evaluation of different oral care systems: Results for Germany and selected highly developed countries. An update of a former study

Abstract: Objective: Evaluation of different types of oral care systems by means of new analytical tools that facilitate the obtention of quantifiable results.

Cited by 10 publications

References 16 publications

Cross-Cultural Adaptation and Validation of the Oral Health Values Scale for the Portuguese Population

Cross-Cultural Adaptation and Validation of the Oral Health Values Scale for the Portuguese Population

Epidemiological trends, predictive factors, and projection of tooth loss in Germany 1997–2030: part I. missing teeth in adults and seniors

Health-related biological and non-biological consequences of forgoing healthcare for economic reasons

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