Is it time for an advanced rural dentist?

Contextual and individual factors associated with self-reported tooth loss among adults and elderly residents in rural riverside areas: A cross-sectional household-based survey

BACKGROUND

Tooth loss is an oral health condition with high prevalence and negative impact on quality of life. It is the result of the history of oral diseases and their treatment as well as provision of dental care and access to dental services. Socioeconomic characteristics are determinants of tooth loss and living in rural areas is also a risk factor for its incidence.

OBJECTIVE

To identify contextual and individual factors associated with self-reported tooth loss among adults and elderly people living in rural riverside areas.

METHODS

A cross-sectional household-based survey was conducted in 2019 with rural riverside communities on the left bank of the Rio Negro River, Manaus, Amazonas. These communities are covered by a fluvial health team and two riverside health teams. Interviews were conducted in a representative random sample of dwellers aged ≥ 18 years, using electronic forms to obtain information on oral health conditions, demographic and socioeconomic characteristics, and use of and access to health services. The outcome was self-reported tooth loss. After the descriptive analysis of the data, a multilevel Poisson regression analysis was performed to estimate the prevalence ratio for the outcome. Variables with p-value ≤0.20 in the bivariate analyses were included in the multiple analysis considering the hierarchy between individual and contextual variables in the multilevel model. Variables with p-value ≤0.10 were kept in the final model and the significance level adopted was 0.05.

RESULTS

603 individuals from 357 households were assessed (mean age 44.1 years). The average number of missing teeth was 11.2 (±11.6); 27.4% of individuals had lost more than 20 teeth (non-functional dentition) and 12.1% were completely edentulous. Contextual characteristic of primary healthcare offered was associated with the outcome. The tooth loss was lower in territories covered by riverside health teams. At individual level, tooth loss was greater in older individuals who had experienced dental pain over the past six months and whose sugar consumption was high. Black or brown individuals, individuals whose household income was higher, those who were on the Bolsa Família cash transfer program, those who consulted a dentist over the past year, and those who reported satisfaction with their teeth/oral health reported less tooth loss.

CONCLUSION

Tooth loss was associated with contextual territorial factors related to the healthcare service and individual demographic, behavioral, socioeconomic, and service-related characteristics as well as self-perceived oral health conditions. The findings suggest that actions focused on the oral health of these populations involve not only changes in the healthcare service organization, but also intersectoral policies that contribute to reducing social inequalities.

Comparison of the Oral Microbiota Structure among People from the Same Ethnic Group Living in Different Environments

The characteristics of the oral microbiota may depend on oral health, age, diet, and geography, but the influence of the geographic setting on the oral microbiota has received limited attention. The characteristics of oral microbiota have been reported to differ between urban and rural environments. In order to minimize the influence of genetic background, we recruited 54 volunteers from the same ethnic group, living in urban and rural areas of Gansu Province, China. We collected dental plaque samples and divided them into four groups according to the participant's area of residence and dental caries status. We sequenced the 16S rRNA of these samples using the Pacific Biosciences sequencing platform and analyzed the correlation between the geographic area and the characteristics of the oral microbiota. Analysis of the alpha and beta diversity revealed that there were significant differences in diversity and composition of dental plaque microflora among the four groups. Cluster analysis revealed that geographic area played an important role in determining the oral microbiota. Network analysis of oral microorganisms showed that geographic differences had major influence on the composition characteristics and internal structure of oral microorganisms. We found that some dominant strains which may play a key role in maintaining oral health, such as Streptococcus oralis, Capnocytophaga sputigena, Porphyromonas catoniae, Corynebacterium matruchotii, Haemophilus parainfluenzae, and Prevotella loescheii, were less affected by the geographic setting. These results provide a deeper understanding of factors influencing the composition of the oral microbiota and could contribute to early diagnosis and effective prevention of dental caries in different settings.

Gingival inflammation influences oral health-related quality of life in individuals living in a rural area of southern Brazil

AIM

The aim of the present cross-sectional study was to evaluate whether the extent levels of gingival inflammation (GI) in whole mouth or restricted to the anterior region are independently associated with oral health-related quality of life (OHRQoL) in individuals living in a rural area of southern Brazil.

MATERIALS AND METHODS

A probability sample of 688 individuals was submitted to a full-mouth periodontal examination at six sites on each tooth. Extent levels of GI in whole mouth and restricted to anterior region were dichotomously considered when bleeding on probing (BoP) occurred at 20% or more of whole-mouth sites and at 10% or more of anterior region sites, respectively, in individuals with probing depths ≤3 mm, totalling 121 individuals analysed, aged 15-82 years. OHRQoL was assessed using the simplified version of the Oral Health Impact Profile (OHIP₁₄ ) questionnaire. Adjusted multilevel Poisson regression analysis was used with a conceptual hierarchical approach to calculate the rate ratio (RR) of OHIP₁₄ scores.

RESULTS

In the adjusted model, higher extent levels of full-mouth GI (RR = 1.23; 95% confidence interval [CI]: 1.06-1.44; p = .004) and GI restricted to the anterior region (RR = 1.29; 95% CI: 1.11-1.51; p ≤ .001) were significantly associated with poorer OHRQoL.

CONCLUSIONS

The extent of GI in whole mouth (≥20% of sites with BoP) and in the anterior region (≥10% of sites with BoP) was independently associated with OHRQoL in individuals living in a rural area.

Rural-urban disparity in oral health-related quality of life

OBJECTIVES

The objective of this population-based cross-sectional study was to estimate rural-urban disparity in the oral health-related quality of life (OHRQoL) of the Quebec adult population.

METHODS

A 2-stage sampling design was used to collect data from the 1788 parents/caregivers of schoolchildren living in the 8 regions of the province of Quebec in Canada. Andersen's behavioural model for health services utilization was used as a conceptual framework. Place of residency was defined according to the Statistics Canada Census Metropolitan Area and Census Agglomeration Influenced Zone classification. The outcome of interest was OHRQoL measured using the Oral Health Impact Profile (OHIP)-14 validated questionnaire. Data weighting was applied, and the prevalence, extent and severity of negative oral health impacts were calculated. Statistical analyses included descriptive statistics, bivariate analyses and binary logistic regression.

RESULTS

The prevalence of poor oral health-related quality life (OHRQoL) was statistically higher in rural areas than in urban zones (P = .02). Rural residents reported a significantly higher prevalence of negative daily-life impacts in pain, psychological discomfort and social disability OHIP domains (P < .05). Additionally, the rural population showed a greater number of negative oral health impacts (P = .03). There was no significant rural-urban difference in the severity of poor oral health. Logistic regression indicated that the prevalence of poor OHRQoL was significantly related to place of residency (OR = 1.6; 95% CI = 1.1-2.5; P = .022), perceived oral health (OR = 9.4; 95% CI = 5.7-15.5; P < .001), dental treatment needs factors (perceived need for dental treatment, pain, dental care seeking) (OR = 8.7; 95% CI = 4.8-15.6; P < .001) and education (OR = 2.7; 95% CI = 1.8-3.9; P < .001).

CONCLUSION

The results of this study suggest a potential difference in OHRQoL of Quebec rural and urban populations, and a need to develop strategies to promote oral health outcomes, specifically for rural residents. Further studies are needed to confirm these results.

Relationships between dental personnel and non-dental primary health care providers in rural and remote Queensland, Australia: dental perspectives

BACKGROUND

Collaboration between dental practitioners and non-dental primary care providers has the potential to improve oral health care for people in rural and remote communities, where access to oral health services is limited. However, there is limited research on collaboration between these professional disciplines. The purpose of this paper was to explore the relationships between dental practitioners and non-dental primary care providers from rural and remote areas of Queensland and to identify strategies that could improve collaboration between these disciplines from the perspective of dental participants.

METHODS

Semi-structured interviews were conducted between 2013 and 2015 with visiting, local and regional dental practitioners (n = 12) who had provided dental services to patients from eight rural and remote Queensland communities that did not have a resident dentist. Participants were purposely recruited through a snow ball sampling technique. Interview data were analysed using thematic analysis with the assistance of QSR Nvivo v.10.

RESULTS

Four major themes emerged from the data: (1) Communication between dental practitioners and rural primary care providers; (2) Relationships between dental and primary care providers; (3) Maintenance of professional dualism; (4) Strategies to improve interprofessional relationships (with subthemes: face to face meetings; utilisation of technology; oral health training for primary care providers; and having a community based oral health contact person). Participants observed that there was a lack of communication between the dental providers who saw patients from these rural communities and the primary care providers who worked in each community. This was attributed to poor communication, the high turnover of staff and the siloed behaviours of some practitioners. Visiting dental practitioners were likely to have stronger professional relationships with hospital nursing, administrative and allied health care staff who were often long term residents of the community.

CONCLUSIONS

The findings suggest that there was little relationship between the dental personnel and primary care providers. Interprofessional collaboration between dental care providers and non-dental rural primary care providers in the rural and remote communities sampled could be improved by having regular face to face meetings between practitioners from across the health disciplines, providing oral health education to primary care providers, establishing and maintaining effective communication and referral pathways, and exploring a greater role for tele-dentistry.