Browsing by Author "Vaughn, Sierra X."

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    Assessing public behavioral health services data: a mixed method analysis
    (BMC, 2020-11-11) Vaughn, Sierra X.; Maxey, Hannah L.; Keen, Alyson; Thoele, Kelli; Newhouse, Robin; Medicine, School of Medicine
    Background Measuring behavioral health treatment accessibility requires timely, comprehensive and accurate data collection. Existing public sources of data have inconsistent metrics, delayed times to publication and do not measure all factors related to accessibility. This study seeks to capture this additional information and determine its importance for informing accessibility and care coordination. Methods The 2018 National Survey for Substance Abuse and Treatment Services (N-SSATS) data were used to identify behavioral health facilities in Indiana and gather baseline information. A telephone survey was administered to facilities with questions parallel to the N-SSATS and additional questions regarding capacity and patient intake. Quantitative analysis includes chi-square tests. A standard qualitative analysis was used for theming answers to open-ended questions. Results About 20% of behavioral health facilities responded to the study survey, and non-response bias was identified by geographic region. Among respondents, statistically significant differences were found in several questions asked in both the study survey and N-SSATS. Data gathered from the additional questions revealed many facilities to have wait times to intake longer than 2 weeks, inconsistency in intake assessment tools used, limited capacity for walk-ins and numerous requirements for engaging in treatment. Conclusion Despite the low response rate to this study survey, results demonstrate that multiple factors not currently captured in public data sources can influence coordination of care. The questions included in this study survey could serve as a framework for routinely gathering these data and can facilitate efforts for successful coordination of care and clinical decision-making.
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    Dental safety net capacity: An innovative use of existing data to measure dentists’ clinical engagement in state Medicaid programs
    (Wiley, 2018) Maxey, Hannah L.; Norwood, Connor W.; Vaughn, Sierra X.; Wang, Yumin; Marsh, Stacie; Williams, John; Family Medicine, School of Medicine
    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.
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    Exploring the Demographic and Professional Characteristics of Physicians and Nurse Practitioners Associated With Providing Medication-Assisted Treatment: A Retrospective Observational Study
    (Sage, 2024) Maxey, Hannah L.; Vaughn, Sierra X.; Dickinson, Analise; Newhouse, Robin; Medicine, School of Medicine
    Integration of medication-assisted treatment (MAT) for opioid use disorder in primary care settings is an emerging health care delivery model that supports increased access to specialized care but requires primary care provider engagement. Examining the characteristics of providers who provide this service is key to informing targeted recruitment. Using administrative and supplemental data collected during license renewal, this study aimed to identify the characteristics of primary care physicians and nurse practitioners (NPs) associated with greater odds of providing MAT in their practice. A retrospective observational study was conducted using a descriptive correlational design. The analysis included 5259 physicians and 3486 NPs who renewed their licenses electronically in 2021 and specialized in primary care or psychiatry. Chi-square and logistic regression analyses were conducted to identify the demographic and clinical characteristics of physicians and NPs associated with MAT participation in their practice. Physicians had a higher odds ratio (OR) of providing MAT if they were younger than 35 years (OR = 1.334; P = .0443), practiced in a federally qualified health center (OR = 3.101, P < .0001), and offered a sliding fee scale in their practice (OR = 2.046; P < .0001). Likewise, NPs had higher odds of providing MAT if they practiced in a public or community health center (OR = 3.866; P < .0001). The results of this study highlight the personal and professional characteristics of physicians and NPs associated with higher odds of providing MAT. These findings may have implications for the recruitment and sustainability of MAT integration in primary care.
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    Longitudinal assessment of Indiana dentists’ participation in Medicaid before and after expansion
    (Elsevier, 2022-07) Maxey, Hannah L.; Vaughn, Sierra X.; Medlock, Courtney R.; Dickinson, Analise; Wang, Yumin; Family Medicine, School of Medicine
    Background Although Medicaid expansion aims to eliminate financial barriers to health care for low-income people in the United States, health care accessibility cannot be guaranteed without clinicians who provide health care to Medicaid recipients. This study examined the characteristics of Indiana dentists that are associated with the likelihood of participating in Medicaid after expansion in 2015. Methods This study included Indiana-licensed dentists who renewed their licenses in 2018 and provided supplemental data elements related to demographics, education and training, and professional characteristics. Dentists’ Medicaid engagement behavior was categorized on the basis of when claims were submitted from 2014 through 2017. Statistical analyses included the χ2 test and generalized multinomial logit model. Results Overall, 2,037 Indiana-licensed dentists were included in the study. Of these, 802 (39.4%) were continually active in Medicaid during the study period, and 116 (5.7%) became active after expansion. Dentists had a greater likelihood of engaging in Medicaid after expansion if they were female, specialized in oral and maxillofacial surgery, practiced in a group practice, and were located in a rural county. Conclusions This study shows that dentists with certain demographic and practice characteristics had a greater likelihood of participation in Indiana Medicaid after expansion in 2015. Several findings from this study are consistent with previous research regarding the emerging trends in workforce diversity and show the impact of expansion policies on the dental safety net. Practical Implications This study presents an effective framework for the use of administrative and regulatory data sources for state-level analysis of the Medicaid safety net.
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    Scratching the Surface of Psychiatric Services Distribution and Public Health: an Indiana Assessment
    (Springer, 2018) Moberly, Steven; Maxey, Hannah; Foy, Lacy; Vaughn, Sierra X.; Wang, Yumin; Diaz, David; Family Medicine, School of Medicine
    Mental illness is a leading cause of disability with many public health implications. Previous studies have demonstrated a national shortage of psychiatrists, particularly in rural areas. An analysis of how this workforce distribution relates to population demographics and public/behavioral health is lacking in the literature. This study encompassed a statewide assessment of the Indiana psychiatric workforce as it relates to population characteristics and public/behavioral health. This study’s findings demonstrate a profoundly low psychiatry workforce in rural counties of Indiana. The low psychiatry workforce capacity in rural counties is so disparate that the demographic and public/behavioral health characteristics differ from the State averages in the same manner as counties without a psychiatrist at all. The psychiatric workforce distribution did not differ significantly on the basis of poverty prevalence. The potential utility of indicators of population health was also evaluated and revealed that social factors such as poverty and Medicaid prevalence may be superior to more traditional measures.