Dental safety net capacity: An innovative use of existing data to measure dentists’ clinical engagement in state Medicaid programs

Background: The demand for dentists available for state Medicaid populations has long outpaced the supply of such providers. To help understand the workforce dynamics, this study sought to develop a novel approach to measuring dentists’ relative contribution to the dental safety net and, using this...

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Bibliographic Details
Main Authors: Marsh, S. (Author), Maxey, H.L (Author), Norwood, C.W (Author), Vaughn, S.X (Author), Wang, Y. (Author), Williams, J. (Author)
Format: Article
Language:English
Published: Blackwell Publishing Inc. 2018
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03244nam a2200433Ia 4500
001 10.1111-jphd.12272
008 220706s2018 CNT 000 0 und d
020 |a 00224006 (ISSN) 
245 1 0 |a Dental safety net capacity: An innovative use of existing data to measure dentists’ clinical engagement in state Medicaid programs 
260 0 |b Blackwell Publishing Inc.  |c 2018 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1111/jphd.12272 
520 3 |a Background: The demand for dentists available for state Medicaid populations has long outpaced the supply of such providers. To help understand the workforce dynamics, this study sought to develop a novel approach to measuring dentists’ relative contribution to the dental safety net and, using this new measurement, identify demographic and practice characteristics predictive of dentists’ willingness to participate in Indiana's Medicaid program. Methods: We examined Medicaid claims data for 1,023 Indiana dentists. We fit generalized ordered logistic regression models to measure dentists’ level of clinical engagement with Medicaid. Using a partial proportional odds specification model, we estimated proportional adjusted odds ratios for covariates and separate estimates for each contrast of nonproportional covariates. Results: Though 75% of Medicaid-enrolled dentists were active providers, only 27% of them had 800 or more claims during fiscal year 2015. As has been shown in previous studies, our findings from the proportional odds model reinforced certain demographic and practice characteristics to be predictive of dentists’ participation in state Medicaid programs. Conclusions: In addition to confirming predictive factors for Medicaid enrollment, this study validated the clinical engagement measure as a reliable method to assess the level of Medicaid participation. Prior studies have been limited by self-reported data and variations in Medicaid claims reporting. Practical implications: Our findings have implications for state Medicaid policymakers by enabling access to data regarding dental providers’ level of participation in Medicaid in addition to identifying factors predictive of such participation. This information will inform Medicaid program plans and provider recruitment efforts. © 2018 The Authors. Journal of Public Health Dentistry published by Wiley Periodicals, Inc. on behalf of American Association of Public Health Dentistry 
650 0 4 |a access to care 
650 0 4 |a article 
650 0 4 |a dental 
650 0 4 |a dental care 
650 0 4 |a dental procedure 
650 0 4 |a dentist 
650 0 4 |a Dentists 
650 0 4 |a health care policy 
650 0 4 |a health policy 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a Indiana 
650 0 4 |a insurance 
650 0 4 |a Logistic Models 
650 0 4 |a medicaid 
650 0 4 |a Medicaid 
650 0 4 |a Medicaid participation 
650 0 4 |a public policy 
650 0 4 |a statistical model 
650 0 4 |a United States 
700 1 |a Marsh, S.  |e author 
700 1 |a Maxey, H.L.  |e author 
700 1 |a Norwood, C.W.  |e author 
700 1 |a Vaughn, S.X.  |e author 
700 1 |a Wang, Y.  |e author 
700 1 |a Williams, J.  |e author 
773 |t Journal of Public Health Dentistry