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Browsing by Subject "Access to Care"
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Item Data Analytics and Modeling for Appointment No-show in Community Health Centers(SAGE, 2018) Mohammadi, Iman; Wu, Huanmei; Turkcan, Ayten; Toscos, Tammy; Doebbeling, Bradley N.; BioHealth Informatics, School of Informatics and ComputingObjectives: Using predictive modeling techniques, we developed and compared appointment no-show prediction models to better understand appointment adherence in underserved populations. Methods and Materials: We collected electronic health record (EHR) data and appointment data including patient, provider and clinical visit characteristics over a 3-year period. All patient data came from an urban system of community health centers (CHCs) with 10 facilities. We sought to identify critical variables through logistic regression, artificial neural network, and naïve Bayes classifier models to predict missed appointments. We used 10-fold cross-validation to assess the models’ ability to identify patients missing their appointments. Results: Following data preprocessing and cleaning, the final dataset included 73811 unique appointments with 12,392 missed appointments. Predictors of missed appointments versus attended appointments included lead time (time between scheduling and the appointment), patient prior missed appointments, cell phone ownership, tobacco use and the number of days since last appointment. Models had a relatively high area under the curve for all 3 models (e.g., 0.86 for naïve Bayes classifier). Discussion: Patient appointment adherence varies across clinics within a healthcare system. Data analytics results demonstrate the value of existing clinical and operational data to address important operational and management issues. Conclusion: EHR data including patient and scheduling information predicted the missed appointments of underserved populations in urban CHCs. Our application of predictive modeling techniques helped prioritize the design and implementation of interventions that may improve efficiency in community health centers for more timely access to care. CHCs would benefit from investing in the technical resources needed to make these data readily available as a means to inform important operational and policy questions.Item Understanding the Influence of State Policy Environment on Dental Service Availability, Access, and Oral Health in America's Underserved Communities(2014) Maxey, Hannah L.; Wright, Eric; Halverson, Paul K.; Williams, John N.; Liu, ZiyueOral health is crucial to overall health and a focus of the U.S. Health Center program, which provides preventive dental services in medically underserved communities. Dental hygiene is an oral health profession whose practice is focused on dental disease prevention and oral health promotion. Variations in the practice and regulation of dental hygiene has been demonstrated to influence access to dental care at a state level; restrictive policies are associated lower rates of access to care. Understanding whether and to what extent policy variations affect availability and access to dental care and the oral health of medically underserved communities served by grantees of the U.S. Health Center program is the focus of this study. This longitudinal study examines dental service utilization at 1,135 health center grantees that received community health center funding from 2004 to 2011. The Dental Hygiene Professional Practice Index (DHPPI) was used as an indicator of the state policy environment. The influence of grantee and state level characteristics are also considered. Mixed effects models were used to account for correlations introduced by the multiple hierarchical structure of the data. Key findings of this study demonstrate that state policy environment is a predictor of the availability and access to dental care and the oral health status of medically underserved communities that received care at a grantee of the U.S. Health Center program. Grantees located in states with highly restrictive policy environments were 73% less likely to deliver dental services and, those that do, provided care to 7% fewer patients than those grantees located in states with the most supportive policy environments. Population’s served by grantees from the most restrictive states received less preventive care and had greater restorative and emergency dental care needs. State policy environment is a predictor of availability and access to dental care and the oral health status of medically underserved communities. This study has important implications for policy at the federal, state, and local levels. Findings demonstrate the need for policy and advocacy efforts at all levels, especially within states with restrictive policy environments.