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Dentists’ treatment of underserved populations: accuracy of students’ predictions and variables associated with current treatment
Thesis

Dentists’ treatment of underserved populations: accuracy of students’ predictions and variables associated with current treatment

Rima Desai
University of Iowa
Master of Science (MS), University of Iowa
Summer 2024
DOI: 10.25820/etd.007630
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RIMA DESAI_MS Dental Public Health_Thesis2.36 MB
Embargoed Access, Embargo ends: 08/30/2028

Abstract

Oral health disparities exist in the United States. Certain underserved populations, such as those who have Medicaid or special health care needs, face barriers accessing dental care. Relatively few studies have evaluated which characteristics of dental students and dentists are associated with their likelihood of treating underserved populations post-graduation. Most importantly, longitudinal studies have not been conducted to determine whether students who anticipate treating underserved patients treat the same populations post-graduation. The primary aim of this study was to investigate the concordance between dental students’ anticipated willingness to treat underserved populations five or more years post-graduation and the populations they actually treat as dentists. The secondary aim was to investigate which variables are associated with dentists’ treatment of underserved populations, specifically examining patients: 1) with Medicaid, and 2) who are mentally compromised. A survey was developed and mailed to 741 alumni of the University of Iowa College of Dentistry who graduated between 2009 and 2018. The “alumni” survey inquired whether they provide care to 13 different underserved populations. It also collected information about the respondents pertaining to: demographics, indebtedness, post-doctoral dental training, their comfort level in treating underserved populations, and their dental practice environment. Alumni responses were linked to surveys that the respondents completed as D1 and D4 students, which assessed their anticipated willingness to treat these same 13 populations 5 years post-graduation. Descriptive statistics were calculated to depict the characteristics of the survey respondents. Cohen’s Kappa Coefficient was calculated to evaluate the degree of agreement between the respondents’ anticipated willingness to treat each of the underserved populations as students and their current treatment of the same populations. McNemar’s test was conducted to determine whether there was a significant difference between students’ and alumni’s treatment responses. Further analyses (i.e. bivariate and multivariable logistic regression) were conducted to determine which variables were associated with treating two populations: Medicaid and mentally compromised patients. In total, 227 alumni surveys were received, giving an overall response rate of 30.6%.There were 135 D1 surveys and 155 D4 surveys that could be matched with their alumni surveys.Among the alumni respondents, 107 had completed both a D1 and D4 survey. In general, the majority of dental students predicted which populations they would treat (i.e. other ethnic groups, Limited English proficiency, medically complex, HIV+/known AIDS, mentally compromised, frail elderly, children under age 3) and not treat (i.e. homebound/nursing home, Medicaid, and incarcerated patients). However, McNemar’s tests and the Kappa Coefficients suggest that discrepancies exist. Specifically, many of the respondents reported treating more populations as alumni than they anticipated treating as dental students. With respect to the secondary aim of the study, there were few significant associations with treating Medicaid and mentally compromised patients. Respondents who indicated as D4 students that they would be willing to treat Medicaid patients were more likely to treat Medicaid patients as alumni than respondents who did not anticipate treating the population as D4 students (OR 4.10; 95% CI 1.44 - 11.65; p=0.008). Respondents who currently feel comfortable treating mentally compromised patients were more likely to treat the population compared to respondents who do not currently feel comfortable treating mentally compromised patients (OR 10.40; 95% CI 4.25- 25.47; p<0.001). The findings from the study suggest that it is not easy to predict who will treat underserved populations. However, the results suggest that strategies to increase students’ anticipated willingness to treat underserved populations, as well as enhancing dentists’ comfort in treating the patients, may be beneficial in increasing dentists’ likelihood of treating underserved populations.

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