11 results on '"Nocon, Robert"'
Search Results
2. Comparing the Cost of Caring for Medicare Beneficiaries in Federally Funded Health Centers to Other Care Settings
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Mukamel, Dana B, White, Laura M, Nocon, Robert S, Huang, Elbert S, Sharma, Ravi, Shi, Leiyu, and Ngo-Metzger, Quyen
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Health Services ,Clinical Research ,Aging ,Health and social care services research ,8.1 Organisation and delivery of services ,Good Health and Well Being ,Aged ,Aged ,80 and over ,Ambulatory Care Facilities ,Centers for Medicare and Medicaid Services ,U.S. ,Costs and Cost Analysis ,Health Expenditures ,Humans ,Medicare ,Medicare Part A ,Medicare Part B ,Middle Aged ,Primary Health Care ,Safety-net Providers ,Socioeconomic Factors ,United States ,Federally funded health centers ,costs ,primary care ,specialty care ,Public Health and Health Services ,Policy and Administration ,Health Policy & Services - Abstract
ObjectiveTo compare total annual costs for Medicare beneficiaries receiving primary care in federally funded health centers (HCs) to Medicare beneficiaries in physician offices and outpatient clinics.Data sources/study settingsPart A and B fee-for-service Medicare claims from 14 geographically diverse states. The sample was restricted to beneficiaries residing within primary care service areas (PCSAs) with at least one HC.Study designWe modeled separately total annual costs, annual primary care costs, and annual nonprimary care costs as a function of patient characteristics and PCSA fixed effects.Data collectionData were obtained from the Centers for Medicare & Medicaid Services.Principal findingsTotal median annual costs (at $2,370) for HC Medicare patients were lower by 10 percent compared to patients in physician offices ($2,667) and by 30 percent compared to patients in outpatient clinics ($3,580). This was due to lower nonprimary care costs in HCs, despite higher primary care costs.ConclusionsHCs may offer lower total cost practice style to the Centers for Medicare & Medicaid Services, which administers Medicare. Future research should examine whether these lower costs reflect better management by HC practitioners or more limited access to specialty care by HC patients.
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- 2016
3. Provider and Staff Morale, Job Satisfaction, and Burnout over a 4-Year Medical Home Intervention
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Nocon, Robert S., Fairchild, Paige C., Gao, Yue, Gunter, Kathryn E., Lee, Sang Mee, Quinn, Michael, Huang, Elbert S., and Chin, Marshall H.
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- 2019
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4. Medical Home Characteristics and Quality of Diabetes Care in Safety Net Clinics
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Gunter, Kathryn E., Nocon, Robert S., Gao, Yue, Casalino, Lawrence P., and Chin, Marshall H.
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- 2017
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5. Patient-centered Medical Home Capability and Clinical Performance in HRSA-supported Health Centers
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Shi, Leiyu, Lock, Diana C., Lee, De-Chih, Lebrun-Harris, Lydie A., Chin, Marshall H., Chidambaran, Preeta, Nocon, Robert S., Zhu, Jinsheng, and Sripipatana, Alek
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- 2015
6. Health care use and spending for Medicaid patients diagnosed with opioid use disorder receiving primary care in Federally Qualified Health Centers and other primary care settings.
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Peterson, Lauren, Murugesan, Manoradhan, Nocon, Robert, Hoang, Hank, Bolton, Joshua, Laiteerapong, Neda, Pollack, Harold, and Marsh, Jeanne
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MEDICAL care costs ,OPIOID abuse ,MEDICAL care use ,BENZODIAZEPINES ,MEDICAL offices ,PRIMARY care ,BUPRENORPHINE ,PATIENT-centered medical homes ,MEDICAL quality control - Abstract
Introduction: This nationwide study builds on prior research, which suggests that Federally Qualified Health Centers (FQHCs) and other primary care providers are associated with increased access to opioid use disorder (OUD) treatment. We compare health care utilization, spending, and quality for Medicaid patients diagnosed with OUD who receive primary care at FQHCs and Medicaid patients who receive most primary care in other settings, such as physician offices (non-FQHCs). We hypothesized that the integrated care model of FQHCs would be associated with greater access to medication for opioid use disorder (MOUD) and/or behavioral health therapy and lower rates of potentially inappropriate co-prescribing. Methods: This cross-sectional study examined 2012 Medicaid Analytic eXtract files for patients diagnosed with OUD receiving most (>50%) primary care at FQHCs (N = 37,142) versus non-FQHCs (N = 196,712) in all 50 states and Washington DC. We used propensity score overlap weighting to adjust for measurable confounding between patients who received care at FQHCs versus non-FQHCs and increase generalizability of findings given variation in Medicaid programs and substance use policies across states. Results: FQHC patients displayed higher primary care utilization and fee-for-service spending, and similar or lower utilization and fee-for-service spending for other health service categories. Contrary to our hypotheses, non-FQHC patients were more likely to receive timely (≤90 days) MOUD (buprenorphine, methadone, naltrexone, or suboxone) (Relative Risk [RR] = 1.10, 95% CI: 1.07, 1.12) and more likely be retained in medication treatment (>180 days) (RR = 1.12, 95% CI: 1.09, 1.14). However, non-FQHC patients were less likely to receive behavioral health therapy (mental health or substance use therapy) (RR = 0.90, 95% CI: 0.88, 0.92) and less likely to remain in behavioral health treatment (RR = 0.92, 95% CI: 0.89, 0.94). Non-FQHC patients were more likely to fill potentially inappropriate prescriptions of benzodiazepines and opioids after OUD diagnosis (RR = 1.35, 95% CI: 1.30, 1.40). Conclusions: Observed patterns suggest that Medicaid patients diagnosed with OUD who obtained primary care at FQHCs received more integrated care compared to non-FQHC patients. Greater care integration may be associated with increased access to behavioral health therapy and quality of care (lower potentially inappropriate co-prescribing) but not necessarily greater access to MOUD. [ABSTRACT FROM AUTHOR]
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- 2022
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7. Health Centers and Value‐Based Payment: A Framework for Health Center Payment Reform and Early Experiences in Medicaid Value‐Based Payment in Seven States.
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TOBEY, RACHEL, MAXWELL, JAMES, TURER, ERIC, SINGER, ERIN, LINDENFELD, ZOE, NOCON, ROBERT S., COLEMAN, ALLISON, BOLTON, JOSHUA, HOANG, HANK, SRIPIPATANA, ALEK, and HUANG, ELBERT S.
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ECONOMIC impact ,MEDICAID ,HEALTH policy ,HEALTH facilities ,MANAGED care programs ,RESEARCH methodology ,QUANTITATIVE research ,VALUE-based healthcare ,HEALTH care reform ,PRIMARY health care ,CONTRACTS ,QUALITATIVE research ,DESCRIPTIVE statistics ,RESEARCH funding ,SECONDARY analysis - Abstract
Policy PointsAs essential access points to primary care for almost 29 million US patients, of whom 47% are Medicaid enrollees, health centers are positioned to implement the population health management necessary in value‐based payment (VBP) contracts.Primary care payment reform requires multiple payment methodologies used together to provide flexibility to care providers, encourage investments in infrastructure and new services, and offer incentives for achieving better health outcomes.State policy and significant financial incentives from Medicaid agencies and Medicaid managed care plans will likely be required to increase health center participation in VBP, which is consistent with broader state efforts to expand investment in primary care. Context: Efforts are ongoing to advance value‐based payment (VBP), and health centers serve as essential access points to comprehensive primary care services for almost 29 million people in the United States. Therefore, it is important to assess the levels of health center participation in VBP, types of VBP contracts, characteristics of health centers participating in VBP, and variations in state policy environments that influence VBP participation. Methods: This mixed methods study combined qualitative research on state policy environments and health center participation in VBP with quantitative analysis of Uniform Data System and health center financial data in seven vanguard states: Oregon, Washington, California, Colorado, New York, Hawaii, and Kentucky. VBP contracts were classified into three layers: base payments being transformed from visit‐based to population‐based (Layer 1), infrastructure and care coordination payments (Layer 2), and performance incentive payments (Layer 3). Findings: Health centers in all seven states participated in Layer 2 and Layer 3 VBP, with VBP participation growing from 35% to 58% of all health centers in these states from 2013 to 2017. Among participating health centers, the average percentage of Medicaid revenue received as Layer 2 and Layer 3 VBP rose from 6.4% in 2013 to 9.1% in 2017. Oregon and Washington health centers participating in Layer 1 payment reforms received most of their Medicaid revenue in VBP. In 2017, VBP participation was associated with larger health center size in four states (P <.05), and higher average number of days cash on hand (P <.05) in three states. Conclusions: A multilayer payment model is useful for implementing and monitoring VBP adoption among health centers. State policy, financial incentives from Medicaid agencies and Medicaid managed plans, and health center–Medicaid collaboration under strong primary care association and health center leadership will likely be required to increase health center participation in VBP. [ABSTRACT FROM AUTHOR]
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- 2022
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8. Comparing Rates of Multiple Chronic Conditions at Primary Care and Mental Health Visits to Community Health Centers Versus Private Practice Providers.
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Corallo, Bradley, Proser, Michelle, and Nocon, Robert
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CHRONIC diseases ,COMMUNITY health services ,COMPARATIVE studies ,MEDICAL appointments ,MEDICAL practice ,MENTAL health ,PRIMARY health care ,LOGISTIC regression analysis - Abstract
This study identifies differences in rates of multiple chronic conditions at primary care and mental health visits to Community Health Centers and private practice providers using 2013 National Ambulatory Medical Care Survey data. Community health center visits had higher rates of 1 or more, 2 or more, and 3 or more chronic conditions for working-age patient visits (ages 18-64). There were no differences in other age groups. After controlling for age and other covariates using logistic regression, community health center visits had 35% higher odds of having any chronic condition and 31% higher odds of having 2 or more chronic conditions. [ABSTRACT FROM AUTHOR]
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- 2020
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9. Development and Validation of a Short‐Form Safety Net Medical Home Scale.
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Nocon, Robert S., Gunter, Kathryn E., Gao, Yue, Lee, Sang Mee, and Chin, Marshall H.
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PRIMARY care , *PSYCHOMETRICS , *PATIENT-centered medical homes , *TELEPHONE interviewing , *PEARSON correlation (Statistics) - Abstract
Objective: To develop a short‐form Safety Net Medical Home Scale (SNMHS) for assessing patient‐centered medical home (PCMH) capability in safety net clinics. Data Sources/Study Setting: National surveys of federally qualified health centers (FQHCs). Interviews with FQHC directors. Study Design: We constructed three short‐form SNMHS versions and examined correlations with full SNMHS and related primary care assessments. We tested usability with FQHC directors and reviewed scale development with an advisory group. Data Collection: Federally qualified health center surveys were administered in 2009 and 2013, by mail and online. Usability testing was conducted through telephone interviews with FQHC directors in 2013. Principal Findings: Six‐, 12‐, and 18‐question short‐form SNMHS versions had Pearson correlations with full scale of 0.84, 0.92, and 0.96, respectively. All versions showed a level of convergent validity with other primary care assessment scales comparable to the full SNMHS. User testers found short forms to be low‐burden, though missing some PCMH concepts. Advisory group members expressed caution over missing concepts and appropriate use of short‐form self‐assessments. Conclusions: Short‐form versions of SNMHS showed strong correlations with full scale and may be useful for brief assessment of safety net PCMH capability. Each short‐form SNMHS version may be appropriate for different research, quality improvement, and assessment purposes. [ABSTRACT FROM AUTHOR]
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- 2018
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10. Patient Experience of Chronic Illness Care and Medical Home Transformation in Safety Net Clinics.
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Tung, Elizabeth L., Gao, Yue, Peek, Monica E., Nocon, Robert S., Gunter, Kathryn E., Lee, Sang Mee, and Chin, Marshall H.
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PATIENT-centered medical homes ,PATIENT-centered care ,CHRONICALLY ill ,CHRONIC diseases ,PUBLIC health ,CHRONIC disease treatment ,COMPARATIVE studies ,CONTINUUM of care ,HEALTH status indicators ,RESEARCH methodology ,MEDICAL quality control ,MEDICAL care research ,MEDICAL cooperation ,PATIENT satisfaction ,PRIMARY health care ,RESEARCH ,RESEARCH funding ,PATIENT participation ,SOCIOECONOMIC factors ,EVALUATION research ,CROSS-sectional method ,SAFETY-net health care providers - Abstract
Objective: To examine the relationship between medical home transformation and patient experience of chronic illness care.Study Setting: Thirteen safety net clinics located in five states enrolled in the Safety Net Medical Home Initiative.Study Design: Repeated cross-sectional surveys of randomly selected adult patients were completed at baseline (n = 303) and postintervention (n = 271).Data Collection Methods: Questions from the Patient Assessment of Chronic Illness Care (PACIC) (100-point scale) were used to capture patient experience of chronic illness care. Generalized estimating equation methods were used to (i) estimate how differential improvement in patient-centered medical home (PCMH) capability affected differences in modified PACIC scores between baseline and postintervention, and (ii) to examine cross-sectional associations between PCMH capability and modified PACIC scores for patients at completion of the intervention.Principal Findings: In adjusted analyses, high PCMH improvement (above median) was only marginally associated with a larger increase in total modified PACIC score (adjusted β = 7.7, 95 percent confidence interval [CI]: -1.1 to 16.5). At completion of the intervention, a 10-point higher PCMH capability score was associated with an 8.9-point higher total modified PACIC score (95 percent CI: 3.1-14.7) and higher scores in four of five subdomains (patient activation, delivery system design, contextual care, and follow-up/coordination).Conclusions: We report that sustained, 5-year medical home transformation may be associated with modest improvement in patient experience of chronic illness care for vulnerable populations in safety net clinics. [ABSTRACT FROM AUTHOR]- Published
- 2018
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11. Association Between Patient-Centered Medical Home Rating and Operating Cost at Federally Funded Health Centers.
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Nocon, Robert S., Sharma, Ravi, Birnberg, Jonathan M., Ngo-Metzger, Quyen, Lee, Sang Mee, and Chin, Marshal H.
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CROSS-sectional method , *PATIENT-centered care , *MEDICAL centers -- Cost of operation , *MEDICAL centers , *MEDICAL care , *PRIMARY care , *HEALTH services administrators , *SURVEYS - Abstract
The article presents information on a cross-sectional study which determines whether patient-centered medical home (PCMH) rating is associated with operating cost among health centers funded by the U.S. Health Resources and Services Administration. It provides information that PCMH is a model of care characterized by comprehensive primary care, quality improvement, and enhanced access in a patient centered environment. It offers information on the national survey of health center administrators in the U.S. that was conducted by Harris Interactive Inc. in March-May 2009. It concludes that six aspects of the PCMH were associated with higher health center operating costs on a PCMH scale and two subscales of the medical home were associated with higher cost and one with lower cost. health centers funded by the U.S. Health Resources and Services Administration.
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- 2012
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