Previous reports suggest that periodontal treatment is associated with improved health care outcomes and reduced costs. Using data from the New York State Medicaid program, rates of emergency department (ED) use and inpatient admissions (IPs), as well as costs for ED, IPs, pharmacy, and total health care, were studied to determine the association of preventive dental care to health care outcomes. Utilization of dental services in the first 2 y (July 2012–June 2014) was compared to health care outcomes in the final year (July 2014–June 2015). Costs and utilization for members who did not receive dental services (No Dental) were compared to those who received any dental care (Any Dental), any preventive dental care (PDC), PDC without an extraction and/or endodontic treatment (PDC without Ext/Endo), PDC with an Ext/Endo (PDC with Ext/Endo), or Ext/Endo without PDC (Ext/Endo without PDC). Propensity scores were used to adjust for potential confounders. After adjustment, ED rate ratios were significantly lower for PDC and PDC without Ext/Endo but higher for the Any Dental and Ext/Endo without PDC. IP ratios were lower for all treatment groups except Ext/Endo without PDC. ED costs differed little compared to the No Dental group except for Ext/Endo without PDC. For IPs, costs per member were significantly lower for all groups (−$262.91 [95% confidence interval (CI), −325.40 to −200.42] to −$379.82 [95% CI, −451.27 to −308.37]) except for Ext/Endo without PDC. For total health care costs, Ext/Endo without PDC had a significantly greater total health care cost ($530.50 [95% CI, 156.99–904.01]). Each additional PDC visit was associated with a 3% reduction in the relative risk for ED and 9% reduction for IPs. Costs also decreased for total health care (−$235.64 [95% CI, −299.95 to −171.33]) and IP (−$181.39 [95% CI, −208.73 to −154.05]). In conclusion, an association between PDC and improved health care outcomes was observed, with the opposite association for Ext/Endo without PDC.
IntroductionPreventive dental services have been associated with improved health outcomes. This study expands on previous observations by examining the relationship between oral health care and health care outcomes and costs in a publicly insured population with diabetes.MethodsUtilization of dental services, health care outcomes and costs were evaluated for New York State Medicaid members with a diagnosis of diabetes mellitus (DM), ages 42 to 64, who were continuously enrolled between July 1, 2012 and June 30, 2015. Utilization of dental services focused on preventive dental care (PDC), and extractions and endodontic treatment (both indicative of advanced dental infection). Data were analyzed using regression models with propensity score weighting to control for potential confounding.ResultsReceipt of PDC was associated with lower utilization rates and costs compared to members who did not access dental services. The most pronounced average cost difference was observed for inpatient admissions at $823 per year for members who had at least one PDC without extraction or endodontic treatment. Each additional PDC visit received was associated with an 11% lower rate of inpatient admissions and lower average inpatient costs by $407 per member. The need for a dental extraction or endodontic therapy was associated with relatively higher rates and costs.ConclusionsThese findings demonstrate an association between PDC and improved health care outcome rates and lower average costs among members with DM and suggest a general health benefit associated with provision of preventive dental care for persons with DM.
Selection of a smoking prevalence data source for similar analyses should ultimately be based on completeness of the data and applicability to the population of interest. Evaluation of smoking cessation benefit utilization and the effectiveness of tobacco control campaigns aimed to increase utilization requires a well-defined methodology which ensures reliable baseline data. Comparing utilization estimates across populations or state lines can be misleading, as differences in how estimations were generated can greatly bias observed results.
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