JDR Clinical & Translational Research

Preference experiments are used to understand how patients and stakeholders value aspects of health care. These methods are gaining popularity in dentistry, but quality and breadth of use have not been evaluated.

To describe multiattribute stated preference experiment use in dentistry through illustration and critique of existing studies.

Systematic literature search of PubMed, Econlit and Ovid for Medline, Embase, PsychINFO, PsychARTICLES, and All EBM Reviews, as well as gray literature.

Multiattribute stated preference experiments eliciting preferences for dental service delivery, treatments, and oral health states from the perspective of patients, the public, and dental professionals. Outcomes of interest were preference weights and marginal rates of substitution. Study selection was independently performed by 2 reviewers.

Ten-point checklist published by the International Society of Pharmacoeconomics and Outcomes Research was used for quality assessment.

Descriptive analysis.

Searches identified 12 records published between 1999 and 2015, mostly in nondental academic journals. Studies were undertaken in high-income countries in Europe and the United States. The studies aimed to elicit preference for service delivery, treatment, or oral health states from the perspective of the patients, dentists, or the public via discrete choice experiment methods. The quality scores for the studies ranged from 53% to 100%.

A detailed description and critique of stated preference methods are provided, but it was not possible to provide synthesized preference data.

Multiattribute stated preference experiments are increasingly popular, but understanding the methods and outputs is essential for designing and interpreting preference studies to improve patient care. Patient preferences highlight important considerations for decision making during treatment planning. Valuation of health states and estimation of willingness-to-pay are important for resource planning and allocation and economic evaluation. Preference estimates and relative value of attributes for interventions and service delivery inform development and selection of treatments and services (PROSPERO 21.3.17: CRD42017059859).

Understanding patient, professional, and public preferences is fundamental for evidence-based decision making and treatment delivery. Preference elicitation methods can be used to estimate the value given to health states, service delivery, individual treatments, and health outcomes. By describing and appraising the methodology and application of multiattribute stated preference experiments in dentistry, this review provides an essential first step to wider use of well-designed, high-quality preference elicitation methods.

Two common methods of treating pediatric dental patients with severe early childhood caries (S-ECC) are general anesthesia (GA) and conscious sedation (CS). We sought to first evaluate the cost-effectiveness of treating S-ECC with GA versus CS and then compare the cost-effectiveness at 2 time points: 2011 and 2015.

We used a decision tree model to produce 2-y estimates of costs and outcomes from the Medicaid perspective. The model cohort consisted of healthy 3-y-olds with S-ECC in need of a theoretical set of dental treatments to be performed under either a single GA visit or 3 CS visits. Outcomes were measured in caries-free months. Costs were evaluated in 2015 US dollars. Costs, probabilities, and outcomes were estimated from published data, expert opinion, and Medicaid billing at an academic health center. One-way and probabilistic sensitivity analyses were performed.

As compared with CS, GA resulted in 4 additional caries-free months per child. The cost of a caries-free month for GA versus CS rose from $596 in 2011 to $881 in 2015. These findings were sensitive to loss to follow-up for subsequent CS visits and total cost of GA.

Comprehensive S-ECC treatment had better outcomes when performed under GA versus CS. However, GA was not cost saving when compared with CS. While the cost of dental treatment increased for both GA and CS from 2011 to 2015, the cost rose faster for GA. These results have important implications due to the increasing cost to Medicaid insurance and the rising number of young children being treated for S-ECC under GA.

Medicaid policy makers can use the results of this study to evaluate the cost-effectiveness of dental treatment for young children with S-ECC at 2 time points: 2011 and 2015. Compared with CS, GA resulted in a longer amount of time during which children were free from dental caries but at a higher cost. The cost difference rose from 2011 to 2015.

Health is generally regarded as a very high good, and oral health may substantially affect the quality of life of patients. Oral health–related quality of life has usually been investigated by means of disease-specific descriptive instruments, such as the Oral Health Impact Profile and the General Oral Health Assessment Index. These instruments, however, do not enable a comparison of oral health–related quality of life with other medical diseases. Economic methods, such as the time trade-off technique, enable a comparison of the impact of oral health with other medical diseases and thus provide a means to build a bridge in quality-of-life assessments between medicine and dentistry.

We included in our study a total of 58 patients who received a complete denture in our clinic in the last 10 y (between January 2001 and May 2012) and who were ≥65 y old. Patient preferences for the edentulous and poorest imaginable oral health state were assessed via the time trade-off method.

Edentulous patients rated their current oral health state as 0.73 (SD, 0.25) and the poorest oral health state as 0.43 (SD, 0.33) on a scale between 0 (death) and 1 (best possible health state). These results are comparable to patient preferences for other serious diseases, such as breast cancer (0.75), asymptomatic HIV infection (0.69), depression (0.44), and osteoarthritis of the hip (0.44).

In conclusion, our results suggest that oral health may substantially affect quality of life no less than other medical diseases.

Health is generally considered the highest good of humankind. In the present article, we show that oral health substantially affects quality of life. In particular, we show that loss of teeth (i.e., being edentulous) reduces quality of life no less than other systemic diseases. Treatment modalities for the edentulous patient may therefore substantially improve the patient’s well-being and should be a research priority.

Caries experience among preschool-age children has remained relatively unchanged for the past 2 decades, despite recently documented decreases in untreated decay.

In a community-based cluster-randomized controlled trial, a motivational interviewing (MI) intervention administered to primary caregivers was hypothesized to reduce caries increment over 2 y as compared with controls, among children aged 0 to 5 y at baseline living in public housing.

Public housing residents, who served as interventionists, were trained in MI with a focus on early childhood caries prevention. All 26 eligible public housing developments were randomized to either control (quarterly clinical examinations, fluoride varnish applications, toothbrush/toothpaste, and educational brochures) or intervention (same procedures as control plus MI counseling). Quarterly MI sessions were delivered in English or Spanish over 2 y, audio recorded, and assessed for treatment fidelity. The primary outcome was the increment in dmfs (decayed, missing, and filled tooth surfaces) as assessed by clinical examination at baseline, 12 mo, and 24 mo. Secondary outcomes included caregiver oral health knowledge and child oral health behaviors (child toothbrushing and sugar-sweetened beverage intake). Baseline characteristics were compared between groups and adjusted for housing-site clusters. Longitudinal outcomes were analyzed with mixed models.

A total of 1,065 children (49% female, 55% non-White, 61% Hispanic, 89% below poverty level, n = 686 control) and their caregivers were enrolled. During 2 y of follow-up, the mean dmfs increment increased in both groups; however, there were no statistically significant group differences at 24 mo or group × time interactions. The mean increase in intervention caregivers’ knowledge was significantly greater than that of control, F(2, 1,593) = 3.48, P = 0.0310, but there were no significant intervention effects on caregiver-reported child sugar-sweetened beverage intake or child toothbrushing.

MI counseling plus intensive caries prevention activities resulted in knowledge increases but did not improve oral health behaviors or caries increment (ClinicalTrials.gov NCT01205971).

When viewed in light of the findings from the companion Pine Ridge study and other recent MI studies, the results of this study suggest that when the complex disease of early childhood caries is addressed in high-risk populations, MI is not effective, and alternative approaches are warranted.

In a randomized controlled trial, the effectiveness of motivational interviewing (MI) combined with enhanced community services (MI + ECS) was compared with ECS alone for reducing dental caries in American Indian children on the Pine Ridge Reservation. The intervention was developed and delivered with extensive tribal collaboration.

A total 579 mother-newborn dyads were enrolled and randomized to the MI + ECS and ECS groups. They were followed for 36 mo. Four MI sessions were provided, the first shortly after childbirth and then 6, 12, and 18 mo later. Both groups were exposed to ECS, which included public service announcements through billboards and tribal radio, as well as broad distribution of brochures on behavioral risk factors for early childhood caries (ECC), toothbrushes, and toothpaste. MI impact was measured as decayed, missing, and filled tooth surfaces (dmfs). Secondary outcomes included decayed surfaces, caries prevalence, and maternal oral health knowledge and behaviors. Modified intention-to-treat analyses were conducted. Eighty-eight percent of mothers completed at least 3 of 4 MI sessions offered.

After 3 y, dmfs was not significantly different for the 2 groups (MI + ECS = 10, ECS = 10.38, P = 0.68). In both groups, prevalence of caries experience was 7% to 9% after 1 y, 35% to 36% at 2 y, and 55% to 56% at 3 y. Mean knowledge scores increased by 5.0, 5.3, and 5.9 percentage points at years 1, 2, and 3 in the MI + ECS group and by 1.9, 3.3, and 5.0 percentage points in the ECS group (P = 0.03), respectively. Mean maternal oral health behavior scores were not statistically significantly different between the treatment arms.

In summary, the MI intervention appeared to improve maternal knowledge but had no effect on oral health behaviors or on the progression of ECC (ClinicalTrials.gov NCT01116726).

The findings of this study suggest that motivational interviewing focusing on parental behaviors may not be as effective as previously hoped for slowing the development of childhood caries in some high-risk groups. Furthermore, social factors may be even more salient determinants of oral health than what we previously supposed, perhaps interfering with the capacity to benefit from behavioral strategies that have been useful elsewhere. The improvement of children’s oral health in high-risk populations characterized by poverty and multiple related life stresses may require more holistic approaches that address these formidable barriers.

The effect of misclassification of a cluster-level dichotomous outcome (disease) due to partial-cluster sampling on its association with a dichotomous exposure is investigated.

Disease (e.g., chronic periodontitis) is deemed to exist in a cluster (e.g., full mouth) when a condition of interest (e.g., pocket depth or clinical attachment loss exceeding an established threshold) is present in number and pattern across observations (e.g., tooth sites) in the cluster according to a specific criterion. When a subset of observations within each cluster is selected (i.e., partial-mouth sampling), specificity of disease is 100% (in the absence of site-level measurement error), whereas sensitivity is imperfect and generally unknown. Using conditional probability arguments, we investigate disease misclassification under partial-cluster sampling and its impact on the estimated disease-exposure association when the exposure is cluster level and measured without error.

When the probability of disease varies by exposure status, outcome misclassification at the cluster level is differential under partial-cluster sampling and depends on 1) the partial recording protocol, including the number of observations sampled and the particular sites selected in a cluster; 2) the joint probability structure of the condition within clusters; and 3) the criterion for disease. A numeric example demonstrates that disease-exposure odds ratios under partial-cluster random sampling can be biased in either direction (toward or away from the null) relative to gold-standard odds ratios under full-cluster sampling.

In general, misclassification of disease is differential under partial-cluster sampling. In particular, sensitivity and negative predictive values depend on exposure status, which leads to biased inference.

Partial-mouth sampling causes disease misclassification probabilities, including sensitivity, to vary by exposure groups when disease prevalence differs between groups. As a result, disease-exposure associations may be under- or overestimated by standard analysis procedures for periodontal data relative to full-mouth estimates. Procedures that address bias are needed for partial-recording protocols.

Maternal health during pregnancy plays a part in child health, and several conditions have been associated with adverse child outcomes.

To determine the socioeconomic determinants and maternal health factors associated with dental caries in young children.

This cross-sectional study is part of a register-based cohort study including all children who were born from 2000 to 2003 and were residing in Stockholm County, Sweden, at age 3 y (n = 73,658). The study followed the cohort until individuals were 7 y old. The final study cohort comprised all children examined at 3 and 7 y (n = 65,259). Data on socioeconomic conditions, maternal health, and maternal health behavior were extracted from Swedish national registries. The multivariate analyses used 2 outcomes: caries experience at age 3 and 7 y (deft > 0 [decayed, extracted, and filled teeth]).

The results of this study show that socioeconomic and maternal health behaviors during pregnancy are important determinants of oral health in their preschool offspring. When all significant risk factors were present, the cumulative probability of being diagnosed with dental caries at age 7 y was 75%.

This study also showed that maternal obesity and smoking during pregnancy were predictors of dental caries in preschool children. Strategies must be developed for increasing maternal motivation and self-efficacy and providing mothers with knowledge and caries-preventive tools.

The results of this study inform clinicians about the importance of including a more detailed history regarding maternal health and maternal health behaviors during pregnancy to assess caries risk in preschool children. Education, income, and other socioeconomic factors are difficult to modify in the short term. Therefore, strategies must be developed to increase parental motivation and self-efficacy to give parents the determination, knowledge, and tools for prevention.

Although previous studies have identified various factors related to masticatory performance, which factors affect longitudinal changes in masticatory performance have not been clarified.

We aimed to clarify factors involved in changes to masticatory performance and construct models from factors related to masticatory performance in a longitudinal study of a general urban population in Japan.

A total of 1,005 Japanese subjects (411 men, 594 women; mean age at baseline, 65.7 ± 7.7 years; mean follow-up period, 5.0 ± 0.9 years) were included in the Suita study. These subjects participated in dental checkups both at baseline (June 2008–December 2011) and at follow-up (June 2013–January 2017). The number of functional teeth and occlusal support areas was recorded and the latter assessed using the Eichner index. Subjects’ periodontal status was evaluated based on the Community Periodontal Index. Masticatory performance was determined using test gummy jelly. Factors affecting masticatory performance at follow-up and the degree of their effect were investigated by multiple linear regression analysis.

In multiple linear regression analysis with masticatory performance at follow-up as the dependent variable, baseline age, masticatory performance, number of functional teeth, and maximum bite force were significant independent variables. The results of multiple linear regression analyses by occlusal support at baseline identified only maximum bite force at baseline in subjects who were Eichner A and baseline age, masticatory performance, and number of functional teeth in subjects who were Eichner B as significant independent variables concerning masticatory performance at follow-up.

Our study showed a relationship between longitudinal changes in masticatory performance and age, number of functional teeth, and maximum bite force and furthermore showed that the effects of these factors vary according to the residual number of occlusal support areas.

Patients and clinicians should recognize the importance of objective and quantitative assessment for chewing efficiency and understand that various factors are related to longitudinal changes in masticatory performance. The results of this study can provide basic data for preventing or improving the decline in masticatory performance for elderly people with varying numbers of occlusal support areas.