Feasibility of recruiting publicly insured children with special health care needs for a population-based clinical study

Saliva sampling method influences oral microbiome composition and taxa distribution associated with oral diseases

Saliva is a readily accessible and inexpensive biological specimen that enables investigation of the oral microbiome, which can serve as a biomarker of oral and systemic health. There are two routine approaches to collect saliva, stimulated and unstimulated; however, there is no consensus on how sampling method influences oral microbiome metrics. In this study, we analyzed paired saliva samples (unstimulated and stimulated) from 88 individuals, aged 7-18 years. Using 16S rRNA gene sequencing, we investigated the differences in bacterial microbiome composition between sample types and determined how sampling method affects the distribution of taxa associated with untreated dental caries and gingivitis. Our analyses indicated significant differences in microbiome composition between the sample types. Both sampling methods were able to detect significant differences in microbiome composition between healthy subjects and subjects with untreated caries. However, only stimulated saliva revealed a significant association between microbiome diversity and composition in individuals with diagnosed gingivitis. Furthermore, taxa previously associated with dental caries and gingivitis were preferentially enriched in individuals with each respective disease only in stimulated saliva. Our study suggests that stimulated saliva provides a more nuanced readout of microbiome composition and taxa distribution associated with untreated dental caries and gingivitis compared to unstimulated saliva.

Oral health behaviours and dental caries in low-income children with special healthcare needs: A prospective observational study

BACKGROUND

Dental caries is a significant public health problem for low-income children with special healthcare needs (CSHCN).

AIM

We evaluated associations between oral health behaviours (eg diet, fluoride, dental care) and dental caries for CSHCN enrolled in Medicaid, a health insurance programme for low-income populations that provides comprehensive dental coverage for children.

DESIGN

We recruited 116 CSHCN ages 7-20 years from Medicaid enrolment files in Washington state, USA. Caregivers completed a 166-item questionnaire, and children received a dental screening. The outcome was dental caries, defined as total pre-cavitated, decayed, missing or filled tooth (PDMF) surfaces. We ran log-linear regression models and generated prevalence rate ratios (PRR).

RESULTS

The mean age of study participants was 12.4 ± 3.1 years, 41.4% were female, and 38.8% were white. The mean PDMF surfaces were 6.4 ± 9.4 (range: 0-49). Only sugar-sweetened beverage intake was significantly associated with dental caries. CSHCN who consumed >4 sugar-sweetened beverages per week were significantly more likely to have dental caries than those who consumed no sugar-sweetened beverages (PRR: 2.58; 95% CI: 1.37, 4.85; P < .01).

CONCLUSION

Sugar-sweetened beverages are an important target for future behavioural interventions aimed at preventing dental caries in low-income CSHCN.

Recruiting Adolescents from Medicaid Enrollment Files into a Neighborhood Oral Health Study

INTRODUCTION

Strategies are needed to improve recruitment of low-income adolescents into oral health studies.

OBJECTIVES

In this study, we assessed the feasibility of recruiting Medicaid-enrolled adolescents into a neighborhood-level oral health study using Medicaid enrollment files and to evaluate the degree of bias in the final recruited study population.

METHODS

We obtained Medicaid enrollment files from the Oregon Health Authority for 15,440 Medicaid enrollees aged 12 to 17 y from Multnomah, Hood River, and Tillamook counties. We attempted to contact the primary caregiver of each adolescent by telephone, and we tracked contact, recruitment, enrollment, and study completion rates. We further assessed if these rates were different across county-level rurality, neighborhood-level income, and caregiver-level language preference (Spanish vs. English). The Pearson chi-square test was used to compare rates (α = 0.05). We contacted 6,202 caregivers (40.2%), recruited 738 adolescents (11.9%), enrolled 335 (45.4%), and had complete data for 284 (84.8%). The overall enrollment yield from contacted caregivers was 5.4%. Contact rates did not differ significantly by rurality (P = 0.897), but they were significantly lower in the lowest-income neighborhoods (P = 0.023). Recruitment rates were significantly higher for adolescents from rural counties (P = 0.001), but they did not differ by income or language preference. Enrollment rates were significantly higher among adolescents from rural counties (P < 0.001) and were significantly associated with income (P = 0.041), but they were not different by language preference (P = 0.083). Among participants with complete data, there were no differences by rurality or income, but a significantly larger proportion of adolescents with complete data had caregivers with a language preference for Spanish (P = 0.043).

RESULTS AND CONCLUSIONS

It is feasible to recruit Medicaid-enrolled adolescents into a neighborhood oral health study through the use of Medicaid files. County-, neighborhood-, and caregiver-level factors may influence characteristics of the final study population. Additional research is needed to improve recruitment of Medicaid enrollees into neighborhood oral health studies.

KNOWLEDGE TRANSFER STATEMENT

Researchers can use the results of this study to plan neighborhood-level oral health studies involving recruitment of low-income adolescents. Findings further underscore the importance of assessing factors related to recruitment to evaluate participant bias and the generalizability of study findings.