Browsing by Subject "Oral Health"
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Item Concurrent validity of the short-form Family Impact Scale (FIS-8) in 4-year-old US children(Springer, 2022-07-04) Thomson , W. M.; Foster Page , L. A.; Levy , S. M.; Keels , M. A.; Hara , A. T.; Fontana , M.; Biomedical and Applied Sciences, School of DentistryBackground US data on the validity and reliability of the short-form Family Impact Scale (FIS-8; a scale for measuring the impact of a child’s oral condition on his/her family) are lacking. Methods Cross-sectional analysis of data on four-year-old US children taking part in a multi-center cohort study. For child-caregiver dyads recruited at child age 12 months, the impact of the child’s oral condition on the family was assessed at age 48 months using the FIS-8, with a subsample of 422 caregivers (from 686 who were approached). Internal consistency reliability was assessed using Cronbach’s α, with concurrent validity assessed against a global family impact item (“How much are your family’s daily lives affected by your child’s teeth, lips, jaws or mouth?”) and a global oral health item (“How would you describe the health of your child’s teeth and mouth?”). Results Cronbach’s alpha was 0.83. Although gradients in mean scores across ordinal response categories of the global family impact item were inconsistent, there were marked, consistent gradients across the ordinal categories of the global item on the child’s oral health, with scores highest for those rating their child’s oral health as ‘Poor’. Conclusions While the findings provide some evidence for the utility of the FIS in a US child sample, the study’s replication in samples of preschoolers with greater disease experience would be useful.Item Dental Workforce Report of Indiana University School of Dentistry Graduates and Other Practicing Dentists in Indiana(2014-05) Kochhar, Komal; Zollinger, Terrell W.; Saywell, Robert M. Jr; Buente, Bryce B.All dentists who renewed their Indiana licenses on - line in 2010 or 2012 were asked to complete a voluntary survey instrument that ha d a 95.4% response rate 1 in 2010 and 80.7% response rate 2 in 2012. The purpose of this study was to describe the dental workforce in Indiana with a focus on comparing graduates from the Indiana University School of Dentistry (IUSD) to all other practicing ( n on - IUSD ) dentists in Indiana. Of primary interest is how well the graduates of IUSD are meeting the oral health needs of the population of the state, particularly in the rural and underserved areas. Using data from the Office of Alumni Relations at IUPUI, license numbers of IUSD alumni were matched to the license numbers of individuals in the 2010 or 2012 Indiana Dentist Licensure Survey datasets. Individuals whose license numbers matched with the alumni list were identified as “IUSD” graduates and those that did not match were identified as “non - IUSD” graduates. This report compares responses between 2,203 IUSD and 835 n on - IUSD graduates who renewed their licenses and completed the Indiana Dentist Licensure Surveys in 2010 or 2012, respectively. Lastly, most of the differences between groups were found to be statistically significant due to the large sample size of IUSD graduates compared to non - IUSD graduates. Thus, for the purposes of this report if the differences between groups were noted to be at least 10 percent they were considered remarkable and reported as such.Item "Does this Look Infected to You?" Social Network Predictors of Dental Help-Seeking Among Mexican Immigrants(Springer Nature, 2018-04) Pullen, Erin; Perry, Brea L.; Maupome, Gerardo; Periodontology, School of DentistryCompared to U.S. born Latinos, Mexican immigrants (MAs) have diminished health care access and face substantial barriers to accessing needed dental health services. However, little research has examined how MAs social networks shape their use of dental health services. Using data from 332 Mexican immigrants to the Midwest, this research examines the significance of individual and egocentric network characteristics on two measures of dental health service utilization. Findings reveal that network size, network dental service utilization, and the frequency with which MAs discuss acute problems with network ties, positively correspond to use of oral health services. Conversely, embeddedness in networks where ties hassle egos about dental issues and have low levels of dental health knowledge correspond to lower odds of using these services. This research is among the first to use ego network data and methods to examine the ways network characteristics shape oral health behaviors among this underserved population.Item Edentulism and other variables associated with self-reported health status in Mexican adults(International Scientific Information, Inc., 2014) Medina-Solís, Carlo Eduardo; Pontigo-Loyola, América Patricia; Pérez-Campos, Eduardo; Hernández-Cruz, Pedro; Avila-Burgos, Leticia; Mendoza-Rodríguez, Martha; Maupomé, GerardoBackground: To determine if edentulism, controlling for other known factors, is associated with subjective self-report health status (SRH) in Mexican adults. Material and methods: We examined the SRH of 13 966 individuals 35 years and older, using data from the National Survey of Performance Assessment, a cross-sectional study that is part of the technical collaboration between the Ministry of Health of Mexico and the World Health Organization, which used the survey instrument and sampling strategies developed by WHO for the World Health Survey. Sociodemographic, socioeconomic, medical, and behavioral variables were collected using questionnaires. Self-reported health was our dependent variable. Data on edentulism were available from 20 of the 32 Mexican states. A polynomial logistic regression model adjusted for complex sampling was generated. Results: In the SRH, 58.2% reported their health status as very good/good, 33.8% said they had a moderate health status, and 8.0% reported that their health was bad/very bad. The association between edentulism and SRH was modified by age and was significant only for bad/very bad SRH. Higher odds of reporting moderate health or poor/very poor health were found in women, people with lower socio-economic status and with physical disabilities, those who were not physically active, or those who were underweight or obese, those who had any chronic disease, and those who used alcohol. Conclusions: The association of edentulism with a self-report of a poor health status (poor/very poor) was higher in young people than in adults. The results suggest socioeconomic inequalities in SRH. Inequality was further confirmed among people who had a general health condition or a disability. Dentists and health care professionals need to recognize the effect of edentulism on quality of life among elders people.Item Indiana Dental Hygienist 2010 Re-Licensure Survey Report(2011-07) Kochhar, Komal; Lewis, Cindy; Richard, Amy E.; Brandt, Amy J.; Zollinger, Terrell W.The 2010 Indiana Dental Hygienist Re-licensure Survey was administered by the Indiana Professional Licensing Agency under a contract with the Indiana State Department of Health. This report summarizes the responses to that survey.Item Indiana Dental Hygienist 2012 Licensure Survey Report(2013-03) Sheff, Zachary T.; Kochhar, Komal; Zollinger, Terrell W.The response rate for the survey was 47.6 percent. This response rate is notably lower than other health care re ‐ license surveys and the previous (2010) dental hygienist licensure survey. In the 2011 ‐ 2012 dental hygienist licensure period there were 4,583 total dental hygienists currently licensed in Indiana. Of the 4,583 total licenses, 4,078 listed an Indiana address on their license. There were 1,635 dental hygienists included in the sample for analysis. Individuals included for analysis were actively working in dental hygiene, responded to the electronic survey, and gave an Indiana practice address on their survey. Therefore, the sample analyzed in this report represents 35.7 percent of the total number of dental hygienist licenses in Indiana. When the mean age and length of licensure was compared between dental hygienists included in the sample and those who listed an Indiana address on their license but did not respond to the survey it was found that individuals in the sample were older (p < 0.001) and had been licensed for a longer period of time (p < 0.001).Item Indiana Dentist 2010 Re-Licensure Survey Report(2011-07) Kochhar, Komal; Lewis, Cindy; Richard, Amy E.; Brandt, Amy J.; Zollinger, Terrell W.The 2010 Indiana Dentist Re-licensure Survey was administered by the Indiana Professional Licensing Agency under a contract with the Indiana State Department of Health. This report summarizes the responses to that survey.Item Indiana Dentist 2012 Licensure Survey Report(2013-03) Sheff, Zachary T.; Kochhar, Komal; Zollinger, Terrell W.The response rate for the survey was 80.7 percent. In the 2011 ‐ 2012 dentist licensure period there were 3,748 total dentists currently licensed in Indiana. Of the 3,748 total licenses, 3,242 listed an Indiana address on their license. There were 2,314 dentists included in the sample for analysis. Individuals included for analysis were actively working in dentistry, responded to the electronic survey, and gave an Indiana practice address on their survey. Therefore, the sample analyzed in this report represents 61.7 percent of the total number of dental hygienist licenses in Indiana. When the mean age and length of licensure was compared between dentists included in the sample and those who listed an Indiana address on their license but did not respond to the survey it was found that individuals in the sample were younger (p < 0.001) and had been licensed for a shorter period of time (p < 0.001).Item Network science and oral health research(Wiley Blackwell (Blackwell Publishing), 2015) Maupome, Gerardo; McCranie, Ann; Department of Cariology, Operative Dentistry and Dental Public Health, IU School of DentistryThe present overview of research methods describes a scientific enquiry paradigm that is well established in other disciplines, including health research, but that is fairly new to oral health research. Social networks analysis (SNA) or network science research is a set of relational methods purporting to identify and characterize the connections between members of a system or network, as well as the structure of the network. Persons and communities making up the members of networks have commonly been the focus of SNA studies but corporations or living organisms might just as well be organized in networks. SNA is grounded in both graphic imagery and computational models. SNA is based on the assumptions that features and structure of networks are amenable to characterization, that such information sheds light on the ways members of the network relate to each other (sharing information, diseases, norms, and so on), and that through these connections between members the overall network structure and characteristics are shaped. The overview resorts to examples specific to oral health themes and proposes a few general avenues for population-based research.Item Pediatric dental care utilization and parent/caregiver-rated oral health among Medicaid enrollees in Alabama(American Dental Association, 2020-06) Blackburn, Justin; Bennett, Aleena; Fifolt, Matt; Rucks, Andrew; Taylor, Heather; Wolff, Paul; Sen, BisakhaBackground: Reducing caries and improving access to dental care is a public health challenge. Understanding low use of dental care is of critical importance. This study estimated parent- or caregiver-reported prevalence and identified factors associated with children's dental care use, including the association with children's oral health. Methods: A cross-sectional analysis of children enrolled in Medicaid in Alabama, using data from the 2017 statewide Consumer Assessment of Healthcare Providers and Systems Health Plan Survey, was conducted. Associations were measured using adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) from logit regression and generalized linear model postestimation of least-squares means. Results: The 6-month prevalence of children receiving dental care was 70.4%. Children aged 0 through 3 years (aPR, 0.72; 95% CI, 0.53 to 0.91) had lower prevalence of care than other age groups. The prevalence of low-rated oral health was 9.2%. Low-rated oral health was associated with not receiving dental care (aPR, 1.50; 95% CI, 1.12 to 1.87) and parental education of 8th grade or less (aPR, 2.59; 95% CI, 1.20 to 3.98). Falsification tests determined that dental care use was not associated with ratings for overall health (aPR, 1.18; 95% CI, 0.83 to 1.52) or emotional health (aPR, 1.06; 95% CI, 0.79 to 1.33). Conclusions: It was observed that children not receiving dental care had low-rated oral health; however, as a cross-sectional study, it was not possible to assess the temporality of this relationship. Practical implications: Oral health care providers should continue to recognize their role in educating parents and providing anticipatory guidance on children's oral health.