25. Multiple Imputation for Nonresponse in Surveys. By D. B. Rubin. ISBN 0 471 08705 X. Wiley, Chichester, 1987. 258 pp. £30.25.

Multiple Imputation for Nonresponse in Surveys

The propensity score is defined as a subject's probability of treatment selection, conditional on observed baseline covariates. Weighting subjects by the inverse probability of treatment received creates a synthetic sample in which treatment assignment is independent of measured baseline covariates. Inverse probability of treatment weighting (IPTW) using the propensity score allows one to obtain unbiased estimates of average treatment effects. However, these estimates are only valid if there are no residual systematic differences in observed baseline characteristics between treated and control subjects in the sample weighted by the estimated inverse probability of treatment. We report on a systematic literature review, in which we found that the use of IPTW has increased rapidly in recent years, but that in the most recent year, a majority of studies did not formally examine whether weighting balanced measured covariates between treatment groups. We then proceed to describe a suite of quantitative and qualitative methods that allow one to assess whether measured baseline covariates are balanced between treatment groups in the weighted sample. The quantitative methods use the weighted standardized difference to compare means, prevalences, higher-order moments, and interactions. The qualitative methods employ graphical methods to compare the distribution of continuous baseline covariates between treated and control subjects in the weighted sample. Finally, we illustrate the application of these methods in an empirical case study. We propose a formal set of balance diagnostics that contribute towards an evolving concept of 'best practice' when using IPTW to estimate causal treatment effects using observational data.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.6607

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

Background. The Surveillance, Epidemiology and End Results (SEER)-Medicare–linked database combines clinical information from population-based cancer registries with claims information from the Medicare program. The use of this database to study cancer screening, treatment, outcomes, and costs has g

Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population.

Microbial etiological agents of destructive periodontal diseases

This study aimed to review the literature describing and quantifying time lags in the health research translation process. Papers were included in the review if they quantified time lags in the development of health interventions. The study identified 23 papers. Few were comparable as different studies use different measures, of different things, at different time points. We concluded that the current state of knowledge of time lags is of limited use to those responsible for R&D and knowledge transfer who face difficulties in knowing what they should or can do to reduce time lags. This effectively ‘blindfolds’ investment decisions and risks wasting effort. The study concludes that understanding lags first requires agreeing models, definitions and measures, which can be applied in practice. A second task would be to develop a process by which to gather these data.

The Answer Is 17 Years, What Is the Question

Dental disease and treatment experience can negatively affect the oral health related quality of life (OHRQL) of preschool aged children and their caregivers. Currently no valid and reliable instrument is available to measure these negative influences in very young children. The objective of this research was to develop the Early Childhood Oral Health Impact Scale (ECOHIS) to measure the OHRQL of preschool children and their families. Twenty-two health professionals evaluated a pool of 45 items that assess the impact of oral health problems on 6-14-year-old children and their families. The health professionals identified 36 items as relevant to preschool children. Thirty parents rated the importance of these 36 items to preschool children; 13 (9 child and 4 family) items were considered important. The 13-item ECOHIS was administered to 295 parents of 5-year-old children to assess construct validity and internal consistency reliability (using Cronbach's alpha). Test-retest reliability was evaluated among another sample of parents (N = 46) using the intraclass correlation coefficient (ICC). ECOHIS scores on the child and parent sections indicating worse quality of life were significantly associated with fair or poor parental ratings of their child's general and oral health, and the presence of dental disease in the child. Cronbach's alphas for the child and family sections were 0.91 and 0.95 respectively, and the ICC for test-retest reliability was 0.84. The ECOHIS performed well in assessing OHRQL among children and their families. Studies in other populations are needed to further establish the instrument's technical properties.

/pdf/parental-perceptions-of-children-s-oral-health-the-early-4kzh75ml7l.pdf

Parental perceptions of children's oral health: The Early Childhood Oral Health Impact Scale (ECOHIS)

The extent and severity of periodontal attachment loss are described for a random sample of 690 dentate community-dwelling adults, aged 65 or over, residing in five counties in North Carolina. In addition, risk indicators for serious levels of loss of attachment and pocket depth in this population are presented. Pocket depths and recession were measured on all teeth by trained examines during household visits. Blacks had an average of 78% of their sites with attachment loss and the average level of loss in those sites was approximately 4 mm, as compared to 65% and 3.1 min for whites. Because the extent and severity scores in this population were much higher than in younger groups, a serious condition in this group was defined as having 4+ sites of loss of attachment of 5+ mm with one or more of those sites having a pocket of 4+ mm. Bivariate analyses identified a large number of explanatory variables that were associated with increased likelihood of having the more serious periodontal condition. The logistic regression model for blacks includes the following important explanatory variables and associated odds ratios: use to tobacco (2.9), colony counts of B. gingivalis greater than 2% (2.4) and B. intermedius greater than 2% (1.9), last visit to the dentist greater than 3 years (2.3), and gums bleeding in the last 2 weeks (3.9). The model for whites indicated that tobacco use (6.2), presence of B. gingivalis (2.4) and the combined variable of having not been to the dentist in the last 3 years and having a high BANA score (16.8) were important explanatory variables.(ABSTRACT TRUNCATED AT 250 WORDS)

Prevalence and risk indicators for periodontal attachment loss in a population of older community-dwelling blacks and whites.

Objective. Several health care organizations recommend that physicians provide preventive dentistry services, including dental screening and referral. This study is the first to investigate characteristics of medical providers that influence their referral to a dentist of children who are at risk for dental disease.

Methods. A cross-sectional survey was undertaken of primary care clinicians in 69 pediatric practices and 49 family medicine practices who were enrolled in a study to evaluate a pediatric preventive dentistry program targeted toward Medicaid-eligible children in North Carolina. A 100-item, self-administered questionnaire with 23 items on some aspect of dental referral elicited providers' knowledge and opinions toward oral health, their provision of dental services, and their confidence in providing these services. We hypothesized that providers' dental knowledge, opinions about the importance of oral health, and confidence in providing oral health services would be associated with their propensity to refer children who are younger than 3 years and are suspected of having risk factors for future dental disease or a few teeth in the beginning stages of decay. We also hypothesized that providers' perceived referral difficulty would affect their referral activities. Patient characteristics (tooth decay status, insurance status, immigrant status, English speaking), practice characteristics (setting, number of providers, patient volume, busyness), practice environment (perceived and actual availability of dentists), and other provider characteristics (gender, type, practice experience, board certification, training in oral health during or after professional education, hours worked, teaching of residents, preventive behaviors) were assessed and used as control variables. Preliminary bivariate analysis (analysis of variance, χ2) identified characteristics associated with referral activity. Multivariable logistic regression analysis using backward stepwise logistic regression tested the posed hypotheses, with provider, practice, and patient characteristics included as potential control variables.

Results. Nearly 78% of 169 primary care clinicians who participated in the survey reported that they were likely to refer children who had signs of early decay or high risk for future disease. Approximately half (54%) call a dental office sometimes or more frequently to make an appointment for a child whom they refer, but the most common method is to give the caregiver the name of a dentist without additional assistance (96%). Bivariate analysis revealed that providers who had high confidence in their ability to perform screenings and reported low overall referral difficulty were more likely to refer children. Bivariate analyses also found that providers who were not in group practices, were board certified, graduated 20 years ago or more, saw 80 or more patients per week, had >60% of their total patients who were infants and toddlers, and saw >3.5 patients per hour were significantly less likely to refer at-risk children for dental care. No patient characteristics were associated with referral. The regression model revealed that an increase in odds of referral was significantly associated with confidence in screening abilities (odds ratio [OR]: 5.0; 95% confidence interval [CI]: 1.7-15.1), low referral difficulty (OR: 6.0; 95% CI: 1.0-34.5), and group practice (OR: 4.2; 95% CI: 1.4-12.1). Having a patient population of >60% infants or toddlers was significantly associated with a decrease in odds of referral (OR: 0.2; 95% CI: 0.1-0.7). Oral health knowledge and opinions did not help to explain referral practices.

Conclusions. Tooth decay remains a substantial problem in young children and is made worse by existing barriers that prevent them from obtaining dental care. Because most children are exposed to medical care but not dental care at an early age, primary care medical providers have the opportunity to play an important role in helping children and their families gain access to dental care. This study has identified several factors that need consideration in the further exploration and development of primary care physicians' role in providing for the oral health of their young patients. First, instructional efforts to increase providers' dental knowledge or opinions of the importance of oral diseases are unlikely to be effective in increasing dental referral unless they include methods to increase confidence in providers' ability to identify and appropriately refer children with disease. Medical education in oral health may need to be designed to include components that address self-efficacy in providing risk assessment, early detection, and referral services. Traditional, didactic instruction does not fulfill these requirements, but because the effectiveness of instructional methods for teaching medical providers oral health care, particularly confidence-building aspects, is untested, controlled evaluations are necessary. A second conclusion from this study is that the referral environment is more important than provider knowledge, experience, opinions, or patient characteristics in determining whether medical practitioners refer at-risk children for dental care. Most providers in this study held positive opinions about providing dental services in their practices, had relatively high levels of knowledge, screened for dental disease, accessed risk factors in their patients, and referred; they can be instrumental in helping young children get dental care, yet most providers face difficulties in making dental referrals, and changes in the availability of dental care will be necessary to decrease these barriers before referral can be most effective. The longer-term approach of increasing the number of dental graduates can be complemented in the shorter term by other approaches to increase dentists' participation in Medicaid, such as increases in reimbursement rates; training general dentists to treat young children; and community organization activities to link families, physicians, dentists, and public programs such as Early Head Start. Finally, pediatric primary health care providers can provide oral health promotion and disease prevention activities, thereby eliminating or delaying dental disease and the need for treatment at a very young age. However, effective and appropriate involvement of pediatric primary care clinicians can be expected only after they receive the appropriate training and encouragement and problems with the dental referral environment are addressed.

https://pediatrics.aappublications.org/content/pediatrics/114/5/e642.full.pdf

Dental screening and referral of young children by pediatric primary care providers

Objective: This study aims to develop and pilot test a dental word recognition instrument.

Methods: The development of our instrument was based on the Rapid Estimate of Adult Literacy in Medicine (REALM), an efficient word recognition instrument used to assess health literacy in the medical arena. Our instrument, Rapid Estimate of Adult Literacy in Dentistry (REALD-30), consisted of 30 common dental words with various degrees of difficulty. It was administered to 202 English-speaking adults recruited from outpatient medical clinics. We examined the instrument’s internal reliability using Cronbach’s alpha and its validity by correlating the REALD-30 score to two dental outcomes (perceived dental health status and oral health-related quality of life) and medical health literacy.

Results: REALD-30 scores were significantly correlated with REALM scores. REALD-30 was significantly related to perceived dental health status in the bivariate analysis. It also was significantly related to oral health-related quality of life in a multivariate analysis. In contrast, medical health literacy was not related to either of the dental outcome measures.

Conclusions: The new REALD-30 instrument displays good reliability but only partial validity. Results suggest that dental health literacy may be distinct from medical health literacy and may have an independent effect on dental health outcomes.

Development of a word recognition instrument to test health literacy in dentistry: the REALD-30--a brief communication.

Objectives. This study aimed to gain insight into the experiences, attitudes, and perceptions of a racially and ethnically diverse group of caregivers regarding barriers to dental care for their Medicaid-insured children. Methods. Criterion-purposive sampling was used to select participants for 11 focus groups, which were conducted in North Carolina. Seventy-seven caregivers of diverse ethnic and racial backgrounds participated. Full recordings of sessions were obtained and transcribed. A comprehensive content review of all data, including line-by-line analysis, was conducted. Results. Negative experiences with the dental care system discouraged many caregivers in the focus groups from obtaining dental services for their Medicaid-insured children. Searching for providers, arranging an appointment where choices were severely limited, and finding transportation left caregivers describing themselves as discouraged and exhausted. Caregivers who successfully negotiated these barriers felt that they encountered...

R. Gary Rozier

Papers

Parental perceptions of children's oral health: The Early Childhood Oral Health Impact Scale (ECOHIS)

Prevalence and risk indicators for periodontal attachment loss in a population of older community-dwelling blacks and whites.

Dental screening and referral of young children by pediatric primary care providers

Development of a word recognition instrument to test health literacy in dentistry: the REALD-30--a brief communication.

Problems With Access to Dental Care for Medicaid-Insured Children: What Caregivers Think