Enrollment in early head start and oral health-related quality of life

Policy interventions to improve the accessibility and affordability of Dutch dental care. A scoping review of effective interventions

Caries and periodontitis remain prevalent in the Netherlands. Given the assumption that increasing the accessibility and affordability of dental care can improve oral health outcomes, policy interventions aimed at improving these aspects may contribute to better oral health. To identify possible solutions, this scoping review firstly identifies policy interventions from around the world that have effectively improved the accessibility or affordability of dental care. Secondly, this review discusses the potential of the policy interventions identified that are applicable to the Dutch healthcare sector specifically. A literature search was performed in four databases. Two reviewers independently screened all potentially relevant titles and abstracts before doing the same for the full texts. Only studies that had quantitatively evaluated the effectiveness of policy interventions aimed at improving the accessibility or affordability of dental care were included. 61 of the 1288 retrieved studies were included. Interventions were grouped into four categories. Capacity interventions (n = 5) mainly focused on task delegation. Coverage interventions (n = 25) involved the expansion of covered dental treatments or the group eligible for coverage. Managed care interventions (n = 20) were frequently implemented in school or community settings. Payment model interventions (n = 11) focused on dental reimbursement rates or capitation. 199 indicators were identified throughout the 61 included studies. Indicators were grouped into three categories: accessibility (n = 137), affordability (n = 21), and oral health status (n = 41). Based on the included studies, increasing managed care interventions for children and adding dental coverage to the basic health insurance plan for adults could improve access to dental care in the Netherlands. Due to possible spillover effects, it is advisable to investigate a combination of these policy interventions. Further research will be necessary for the development of effective policy interventions in practice.

The Impact of Dental Care Programs on Individuals and Their Families: A Scoping Review

BACKGROUND

Despite significant global improvements in oral health, inequities persist. Targeted dental care programs are perceived as a viable approach to both improving oral health and to address inequities. However, the impacts of dental care programs on individual and family oral health outcomes remain unclear.

OBJECTIVES

The purpose of this scoping review is to map the evidence on impacts of existing dental programs, specifically on individual and family level outcomes.

METHODS

We systematically searched four scientific databases, MEDLINE, EMBASE, CINAHL, and Sociological Abstracts for studies published in the English language between December 1999 and November 2021. Search terms were kept broad to capture a range of programs. Four reviewers (AG, VD, AE, and KKP) independently screened the abstracts and reviewed full-text articles and extracted the data. Cohen's kappa inter-rater reliability score was 0.875, indicating excellent agreement between the reviewers. Data were summarized according to the PRISMA statement.

RESULTS

The search yielded 65,887 studies, of which 76 were included in the data synthesis. All but one study assessed various individual-level outcomes (n = 75) and only five investigated family outcomes. The most common program interventions are diagnostic and preventive (n = 35, 46%) care, targeted children (n = 42, 55%), and delivered in school-based settings (n = 28, 37%). The majority of studies (n = 43, 57%) reported a significant improvement in one or more of their reported outcomes; the most assessed outcome was change in dental decay (n = 35).

CONCLUSIONS

Dental care programs demonstrated effectiveness in addressing individual oral health outcomes. However, evidence to show the impact on family-related outcomes remains limited and requires attention in future research.

Fitting marginalized two-part models to semicontinuous survey data arising from complex samples

OBJECTIVE

To accurately model semicontinuous data from complex surveys, we extend marginalized two-part models to a design-based inferential framework and provide guidance on incorporating complex sample designs.

DATA SOURCES

2014 Medical Expenditure Panel Survey (MEPS).

STUDY DESIGN

We describe the use of pseudo-Maximum Likelihood Estimation and Jackknife Repeated Replication for estimating model parameters and sampling variance, respectively. We illustrate our approach using MEPS, modeling total healthcare expenditures in 2014 as a function of respondents' age and family income. We provide SAS and R code for implementing the extension, assessing model-fit indices, and evaluating the need to incorporate complex sampling features.

DATA EXTRACTION METHODS

Data obtained from www.meps.ahrq.gov.

PRINCIPLE FINDINGS

A 100 percentage-point increase in family income as a percent of the federal poverty level was associated with a 5%-6% increase in healthcare spending. People over 65 had an increase of 4-5 times compared to those younger. Accounting for complex sampling in the models led to different parameter estimates and wider confidence intervals than the unweighted models. Ignoring complex sampling could lead to inaccurate finite population inference.

CONCLUSION

Researchers should account for complex sampling features when analyzing semicontinuous data from surveys.

Children's oral health-related behaviours and early childhood caries: A latent class analysis

OBJECTIVE

In this cross-sectional study in a large community-based sample of preschool-age children, we sought to identify distinct clusters of modifiable early childhood oral health-related behaviours (OHBs) and quantify their association with clinical and parent-reported measures of early childhood oral health.

METHODS

We relied upon a questionnaire (n = 8033; 11% in Spanish) and clinical oral health data (n = 6404; early childhood caries [ECC] prevalence = 54%] collected in the context of an epidemiologic study of early childhood oral health among 3- to 5-year-old children in North Carolina. Latent class analysis was used to identify clusters of modifiable OHBs based on parents' responses to 6 questionnaire items pertaining to their children's oral hygiene, diet and dental home. The optimal number of clusters was determined based on measures of model fit and interpretability. We examined associations of OHB clusters with clinical and parent-reported child oral health status (ie, ECC prevalence, severity and proportion with untreated disease) using bivariate association tests and multivariable regression modelling with marginal effects estimation accounting for clustered data. We used Mplus v.8.6 (Muthén & Muthén, Los Angeles, CA, USA) and Stata v.16.1 (StataCorp, College Station, TX, USA) for data analyses.

RESULTS

We identified 2 OHB clusters, a favourable (74%) and an unfavourable (26%) one. Children in the favourable OHB cluster had better oral hygiene practices (ie, tooth brushing frequency and fluoridated toothpaste use), lower consumption frequency of sugar-containing snacks and beverages, less frequent reports of night-time bottle-feeding history and a higher likelihood of a dental home. Children in the unfavourable cluster had significantly higher ECC prevalence (57% vs 53%), caries burden (mean dmfs = 9.3 vs 7.6), untreated disease (43% vs 33%) and worse parent-reported oral health status than the favourable cluster.

CONCLUSIONS

Our findings demonstrate the importance and utility of clustering common, modifiable ECC risk factors in population studies - health promotion efforts may centre on groups of people rather than individual behavioural risk factors.

Application of Ferrans et al.'s conceptual model of health-related quality of life: A systematic review

Ferrans, Zerwic, Wilbur, and Larson proposed the conceptual model of health-related quality of life (HRQOL) in 2005 to explicate the constructs associated with HRQOL and to describe the associations among those constructs. In this systematic review, the authors aimed to describe empirical studies that used Ferrans et al.'s model and to examine the evidence related to the hypothesized model concepts. This review followed Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Relevant articles were identified using Crossref, CINAHL, and PubMed. To be included, studies had to employ the model as a theoretical framework and be published in English between 2005 and 2020. Type of theory use was coded using four designations: informed by theory, applied theory, testing theory, and building theory. Thirty-one studies were included. Most studies involved adult patients with chronic illnesses (n = 20) and were conducted in Western countries (n = 22). The most common type of theory use was testing theory (74.19%). Among the seven concepts in Ferrans et al.'s model, all 20 hypothesized associations were tested and 19 were supported by study results. The three associations most frequently supported were between symptoms and functional status (n = 13), environmental characteristics and quality of life (n = 10), and individual characteristics and functional status (n = 8). No studies found an association between environmental characteristics and biological function. Our review found that Ferrans et al.'s model has been used extensively to guide HRQOL research. An emerging body of research provides preliminary support for the associations hypothesized in the model. Additional research is needed to confirm the hypothesized associations among model concepts.

Modeling Semicontinuous Longitudinal Expenditures: A Practical Guide

OBJECTIVE

To compare different strategies for analyzing longitudinal expenditure data that have a point mass at $0. We provide guidance on parameter interpretation, research questions, and model selection.

DATA SOURCES, STUDY DESIGN, AND DATA COLLECTION

One-part models, uncorrelated two-part models, correlated conditional two-part (CTP) models, and correlated marginalized two-part (MTP) models have been proposed for longitudinal expenditures that often exhibit a large proportion of zeros and a distribution of continuous, highly right-skewed positive values. Guidance on implementing and interpreting each of these model is illustrated with an example of longitudinal (2000-2003) specialty care expenditures of veterans with hypertension, drawn from Veterans Administration data.

PRINCIPAL FINDINGS

The four strategies answer different research questions, are appropriate for different structures of data, and provide different results. If there is a point mass at $0, then the MTP model may be most useful if the primary interest is in mean expenditures of the entire population. A CTP model may be most useful if the primary interest is in the level of expenditures conditional on them being incurred.

CONCLUSIONS

Researchers should consider which modeling strategy for longitudinal expenditure outcomes is both consistent with research aims and appropriate for the data at hand.

Early Head Start, Pediatric Dental Use, and Oral Health-Related Quality of Life

The objective of the study was to examine the mediating effect of child dental use on the effectiveness of North Carolina Early Head Start (EHS) in improving oral health-related quality of life (OHRQoL). In total, 479 parents of children enrolled in EHS and 699 parents of Medicaid-matched children were interviewed at baseline when children were approximately 10 mo old and 24 mo later. In this quasi-experimental study, mediation analysis was performed using the counterfactual framework analysis, which employed 2 logit models with random effects: 1) for the mediator as a function of the treatment and covariates and 2) for the outcome as a function of the treatment, mediator, and covariates. The covariates were baseline dental OHRQoL, dental need, survey language, and a propensity score. We used in-person computer-assisted, structured interviews to collect information on demographic characteristics and dental use and to administer the Early Childhood Oral Health Impact Scale, a measure of OHRQoL. Dental use had a mediation effect in the undesired direction with a 2-percentage point increase in the probability of any negative impact to OHRQoL (95% confidence interval [CI], 0.3%-3.9%). Even with higher dental use by EHS participants, the probability of any negative impact to OHRQoL was approximately 8 percentage points lower if an individual were moved from the non-EHS group to the EHS group (95% CI, -13.9% to -1.2%). EHS increases child dental use, which worsens family OHRQoL. However, EHS is associated with improved OHRQoL overall. Knowledge Transfer Statement: Study results can inform policy makers that comprehensive early childhood education programs improve oral health-related quality of life (OHRQoL) for disadvantaged families with young children in pathways outside of clinical dental care. This awareness and its promotion can lead to greater resource investments in early childhood education programs. Information about the negative impacts of dental use on OHRQoL should lead to the development and testing of strategies in dentistry and Early Head Start to improve dental care experiences.