Tracy L Finlayson, Stuart A Gansky, Sara G Shain, Jane A Weintraub
{"title":"Dental utilization by children in Hispanic agricultural worker families in California.","authors":"Tracy L Finlayson, Stuart A Gansky, Sara G Shain, Jane A Weintraub","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Agricultural worker families encounter multiple barriers to accessing all needed dental care. This study investigated predisposing, enabling, and need factors associated with children's past year dental utilization among Hispanic agricultural worker families in central California.</p><p><strong>Methods: </strong>Oral health survey and clinical data were collected from families participating in a larger, population-based study in 2006-7. Generalized estimating equation logit regression assessed effects on a dental visit among children aged 0-17 (n=405). Analyses adjusted for clustering of children in the same household. Predisposing (sociodemographics), enabling (child's dental insurance, usual source of dental care, caregiver past year dental visit, acculturation level, income and education), and need (caregiver's oral health rating, perception of cavities, and clinically-determined treatment urgency) factors were examined.</p><p><strong>Results: </strong>Half (51%) the children had a past year dental visit, while 23% had never been to a dentist. In the final model, children were less likely to have a past year dental visit if they were foreign-born, male, had caregivers that thought they had cavities or were unsure, and if the dentist recommended treatment 'at earliest convenience'. Children aged 6-12, with a regular dental care source, and whose caregivers had a recent dentist visit were more likely to have a past year dental visit.</p><p><strong>Conclusions: </strong>Children were more likely to have a past year dental visit if they had a usual source of dental care (OR =4.78, CI=2.51-9.08), and if the caregiver had a past year dental visit (OR=1.88, CI=1.04-3.38). Emphasis should be placed on these two modifiable factors to increase children's dental utilization.</p>","PeriodicalId":90890,"journal":{"name":"Journal of dental, oral and craniofacial epidemiology","volume":"2 1-2","pages":"15-24"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301614/pdf/nihms-649067.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33332883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"International Classification of Diseases Codes and their Use in Dentistry.","authors":"Darien Weatherspoon, Amit Chattopadhyay","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The deadline for replacing International Classification of Diseases, 9th edition (ICD-9) code sets with the newer ICD-10 code sets, used for the reporting of medical diagnoses and inpatient hospital procedures, was recently updated to occur at a date no sooner than October 1, 2015; with October 1, 2015 being the likely implementation date. The transition to ICD-10 is mandatory for all entities covered by the Health Insurance Portability Accountability Act (HIPAA). This review will provide a brief history of the development of ICD codes; provide an overview of ICD-9/ICD-9-Clinical Modification (CM) and ICD-10/ ICD-10-CM/Procedural Coding System (PCS) codes; provide information on the conversion of ICD-9-CM to ICD-10-CM/PCS codes; and provide information on the uses of ICD codes in dentistry in the United States.</p>","PeriodicalId":90890,"journal":{"name":"Journal of dental, oral and craniofacial epidemiology","volume":"1 4","pages":"20-26"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4394630/pdf/nihms675764.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33096698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ann A Lazar, Stuart A Gansky, Donald D Halstead, Anthony Slajs, Jane A Weintraub
{"title":"Improving Patient Care Using the Johnson-Neyman Analysis of Heterogeneity of Treatment Effects According to Individuals' Baseline Characteristics.","authors":"Ann A Lazar, Stuart A Gansky, Donald D Halstead, Anthony Slajs, Jane A Weintraub","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Objective: </strong>Because each patient's baseline (pre-treatment) characteristics differ (e.g., age, sex, socioeconomic status, ethnicity/race, biomarkers), treatments do not work the same for every patient-some can even cause detrimental effects. To improve patient care, it is critical to identify such heterogeneity of treatment effects. But the standard analytic approach dichotomizes baseline characteristics (low vs. high) which often leads to a loss of critical patient-care information and power to detect heterogeneity, as the results may depend strongly on the cut-points chosen. A more powerful analytic approach is to analyze baseline characteristics (i.e., covariates) measured on a continuous scale that retains all of the information available for the covariate.</p><p><strong>Methods: </strong>In this article, we show how the Johnson-Neyman (J-N) method can be used to identify the prognostic and predictive value of baseline covariates measured on a continuous scale - findings that often cannot be determined using the traditional dichotomized approach. As an example, we used the J-N method to explore treatment effects for varying levels of the biomarker salivary mutans streptococci (MS) in a randomized clinical prevention trial comparing fluoride varnish with no fluoride varnish for 376 initially caries-free high-risk children, all of whom received oral health counseling.</p><p><strong>Results: </strong>The J-N analysis showed that children with higher baseline MS values who were randomized to receive fluoride varnish had the poorest dental caries prognosis and may have benefitted most from the preventive agent.</p><p><strong>Conclusion: </strong>Such methods are likely to be an important tool in the field of personalized oral health care.</p>","PeriodicalId":90890,"journal":{"name":"Journal of dental, oral and craniofacial epidemiology","volume":"1 3","pages":"19-33"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335806/pdf/nihms645892.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33074528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}