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2.
Am J Public Health ; 111(10): 1796-1805, 2021 10.
Article in English | MEDLINE | ID: mdl-34473559

ABSTRACT

Objectives. To quantify racial/ethnic differences in the relationship between state-level sexism and barriers to health care access among non-Hispanic White, non-Hispanic Black, and Hispanic women in the United States. Methods. We merged a multidimensional state-level sexism index compiled from administrative data with the national Consumer Survey of Health Care Access (2014-2019; n = 10 898) to test associations between exposure to state-level sexism and barriers to access, availability, and affordability of health care. Results. Greater exposure to state-level sexism was associated with more barriers to health care access among non-Hispanic Black and Hispanic women, but not non-Hispanic White women. Affordability barriers (cost of medical bills, health insurance, prescriptions, and tests) appeared to drive these associations. More frequent need for care exacerbated the relationship between state-level sexism and barriers to care for Hispanic women. Conclusions. The relationship between state-level sexism and women's barriers to health care access differs by race/ethnicity and frequency of needing care. Public Health Implications. State-level policies may be used strategically to promote health care equity at the intersection of gender and race/ethnicity. (Am J Public Health. 2021;111(10):1796-1805. https://doi.org/10.2105/AJPH.2021.306455).


Subject(s)
Ethnicity/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Health Services Needs and Demand/organization & administration , State Health Plans/statistics & numerical data , Adult , Black or African American/statistics & numerical data , Female , Hispanic or Latino/statistics & numerical data , Humans , Insurance, Health/statistics & numerical data , Middle Aged , Socioeconomic Factors , United States , White People/statistics & numerical data
3.
JAMA Netw Open ; 3(10): e2015198, 2020 10 01.
Article in English | MEDLINE | ID: mdl-33026448

ABSTRACT

Importance: The Patient Protection and Affordable Care Act broadened insurance coverage, partially through voluntary state-based Medicaid expansion. Objective: To determine whether patients with higher-risk prostate cancer residing in Medicaid expansion states were more likely to receive treatment after expansion compared with patients in states electing not to pursue Medicaid expansion. Design, Setting, and Participants: This population-based cohort study included 15 332 patients diagnosed with higher-risk prostate cancer (ie, grade group >2; grade group 2 with prostate-specific antigen levels >10 ng/mL; or grade group 1 with prostate-specific antigen levels >20 ng/mL) from January 2010 to December 2016 aged 50 to 64 years who were candidates for definitive treatment. Patients residing in states that partially expanded Medicaid coverage before 2010 (ie, California and Connecticut) and those with diagnosis not confirmed by histology were excluded. Data were collected from the Surveillance, Epidemiology, and End Results Program. Data were analyzed between August and December 2019. Exposure: State-level Medicaid expansion status. Main Outcomes and Measures: Insurance status before and after expansion, treatment with prostatectomy or radiation therapy (including brachytherapy), treatment trends over time. Results: Of 15 332 patients, 7811 (50.9%) lived in expansion states (mean [SD] age, 59.1 [3.8] years; 5532 [71.9%] non-Hispanic White), and 7521 (49.1%) lived in nonexpansion states (mean [SD] age, 59.0 [3.9] years; 3912 [52.1%] non-Hispanic White). Residence in an expansion state was associated with higher pre-expansion levels of Medicaid coverage (292 [8.1%] vs 161 [3.8%]; odds ratio [OR], 2.12; 95% CI, 1.78 to 2.53) and lower likelihood of being uninsured (136 [3.2%] vs 38 [1.1%]; OR, 0.28; 95% CI, 0.15 to 0.54). After expansion, there was no difference in trends in treatment receipt between expansion and nonexpansion states (change, -0.39%; 95% CI, -0.11% to 0.28%; P = .25). Patients with private or Medicare coverage were more likely to receive treatment vs those with Medicaid or no coverage across racial/ethnic groups (eg, Black patients with coverage: OR, 2.30; 95% CI, 1.68 to 3.10; Black patients with no coverage: OR, 1.48; 95% CI, 1.09 to 2.00; P < .001). Medicaid patients were not more likely to be treated compared with those without insurance (737 [78.8%] vs 435 [79.5%]; OR, 0.97; 95% CI, 0.76 to 1.25). Conclusions and Relevance: In this cohort study, state-level expansion of Medicaid was associated with increased Medicaid coverage for men with higher-risk prostate tumors but did not appear to affect treatment patterns at a population level. This may be related to the finding that Medicaid coverage was not associated with increased treatment rates compared with those without insurance.


Subject(s)
Insurance Coverage/economics , Insurance Coverage/statistics & numerical data , Medicaid/economics , Medicaid/statistics & numerical data , Patient Protection and Affordable Care Act/economics , Prostatic Neoplasms/economics , Prostatic Neoplasms/therapy , State Health Plans/economics , Cohort Studies , Humans , Male , Middle Aged , Patient Protection and Affordable Care Act/statistics & numerical data , State Health Plans/statistics & numerical data , United States
4.
Health Serv Res ; 55(2): 239-248, 2020 04.
Article in English | MEDLINE | ID: mdl-32030751

ABSTRACT

OBJECTIVE: To test whether Medicaid expansion is associated with (a) a greater number of naloxone prescriptions dispensed and (b) a higher proportion of naloxone prescriptions paid by Medicaid. DATA SOURCES/STUDY SETTING: We used the IQVIA National Prescription Audit to obtain data on per state per quarter naloxone prescription dispensing for the period 2011-16. STUDY DESIGN: In this quasi-experimental design study, the impact of Medicaid expansion on naloxone prescription dispensing was examined using difference-in-difference estimation models. State-level covariates including pharmacy-based naloxone laws (standing/protocol orders and direct authority to dispense naloxone), third-party prescribing laws, opioid analgesic prescribing rates, opioid-involved overdose death rates, and population size were controlled for in the analysis. PRINCIPAL FINDINGS: Medicaid expansion was associated with 38 additional naloxone prescriptions dispensed per state per quarter compared to nonexpansion controls, on average (P = .030). Also, Medicaid expansion resulted in an average increase of 9.86 percent in the share of naloxone prescriptions paid by Medicaid per state per quarter (P < .001). CONCLUSIONS: Our study found that Medicaid expansion increased naloxone availability. This finding suggests that it will be important to consider naloxone access when making federal- and state-level decisions affecting Medicaid coverage.


Subject(s)
Analgesics, Opioid/economics , Analgesics, Opioid/therapeutic use , Drug Prescriptions/economics , Medicaid/legislation & jurisprudence , Naloxone/economics , Naloxone/therapeutic use , Opioid-Related Disorders/drug therapy , Opioid-Related Disorders/economics , Adult , Aged , Aged, 80 and over , Drug Prescriptions/statistics & numerical data , Female , Humans , Male , Medicaid/economics , Medicaid/statistics & numerical data , Middle Aged , Patient Protection and Affordable Care Act/economics , Patient Protection and Affordable Care Act/statistics & numerical data , State Health Plans/legislation & jurisprudence , State Health Plans/statistics & numerical data , United States
5.
Palmas; Secretaria de Estado da Saúde; 2020. 361 p.
Non-conventional in Portuguese | LILACS, CONASS, Coleciona SUS, SES-TO | ID: biblio-1140607

ABSTRACT

O Relatório Detalhado do Quadrimestre Anterior (RDQA) apresentam os resultados alcançados com a execução da PAS a cada quadrimestre e orientam eventuais redirecionamentos. Eles têm a função de comprovar a aplicação de todos os recursos do Fundo de Saúde. É instrumento indissociável do Plano e de suas respectivas Programações, sendo a principal ferramenta para subsidiar o processo de monitoramento e avaliação da gestão. Tem seu modelo padronizado pela Resolução nº 459 do Conselho Nacional de Saúde - CNS, de 10 de outubro de 2012, publicada no DOU de 21/12/2012, conforme dispõe o Parágrafo 4º do Artigo 36 da Lei Complementar nº 141/2012. A Programação Anual de Saúde (PAS) é a referência de execução das ações e serviços públicos em saúde, cujo processo de sua gestão é demonstrado no Relatório de Gestão: a cada quadrimestre no RDQA e ao final do exercício no Relatório Anual de Gestão (RAG).


The Detailed Report for the Previous Quadrimester (RDQA) presents the results achieved with the execution of the PAS every four months and guides any redirections. They have the function of proving the application of all the resources of the Health Fund. It is an inseparable instrument of the Plan and its respective Programs, being the main tool to support the process of monitoring and evaluation of management. Its model is standardized by Resolution No. 459 of the National Health Council - CNS, of October 10, 2012, published in the DOU of 12/21/2012, as provided in Paragraph 4 of Article 36 of Complementary Law No. 141/2012. The Annual Health Program (PAS) is the benchmark for executing public health actions and services, whose management process is demonstrated in the Management Report: every four months in the RDQA and at the end of the year in the Annual Management Report (RAG) ).


El Informe Detallado del Cuatrimestre Anterior (RDQA) presenta los resultados obtenidos con la ejecución del PAS cada cuatro meses y orienta las redirecciones. Tienen la función de acreditar la aplicación de todos los recursos del Fondo de Salud, instrumento inseparable del Plan y sus respectivos Programas, siendo la principal herramienta de apoyo al proceso de seguimiento y evaluación de la gestión. Su modelo se encuentra estandarizado por la Resolución No. 459 del Consejo Nacional de Salud - CNS, de 10 de octubre de 2012, publicada en el DOU de 21/12/2012, según lo dispuesto en el numeral 4 del artículo 36 de la Ley Complementaria No. 141/2012. El Programa Anual de Salud (PAS) es el referente para la ejecución de acciones y servicios de salud pública, cuyo proceso de gestión se demuestra en el Informe de Gestión: cuatrimestral en el RDQA y al final del año en el Informe Anual de Gestión (RAG) ).


Le rapport détaillé du quadrimestre précédent (RDQA) présente les résultats obtenus avec l'exécution du PAS tous les quatre mois et guide les éventuelles réorientations. Ils ont pour fonction de prouver l'application de toutes les ressources du Fonds de la Santé, instrument indissociable du Plan et de ses Programmes respectifs, étant le principal outil d'appui au processus de suivi et d'évaluation de la gestion. Son modèle est normalisé par la résolution n ° 459 du Conseil national de la santé - CNS du 10 octobre 2012, publiée au DOU du 21/12/2012, comme prévu au paragraphe 4 de l'article 36 de la loi complémentaire n ° 141/2012. Le Programme Annuel de Santé (PAS) est la référence pour la mise en œuvre d'actions et de services de santé publique, dont le processus de gestion est démontré dans le rapport de gestion: tous les quatre mois dans le RDQA et en fin d'année dans le rapport annuel de gestion (RAG) ).


Subject(s)
Humans , Regional Health Planning/organization & administration , State Health Plans/statistics & numerical data , Public Health Surveillance , Pharmaceutical Services/statistics & numerical data , Budgets/statistics & numerical data , Health Education , Health Status Indicators , Disabled Persons/statistics & numerical data , Coronavirus Infections/prevention & control , Health Management , Maternal-Child Health Services , Health Governance , Health's Judicialization , Home Nursing/statistics & numerical data , Hospital Bed Capacity/statistics & numerical data , Mental Health Services/statistics & numerical data
6.
Health Serv Res ; 54(5): 1099-1109, 2019 10.
Article in English | MEDLINE | ID: mdl-31287571

ABSTRACT

OBJECTIVE: To measure the accuracy of survey-reported data on features and type of health insurance coverage. DATA SOURCE: Enrollment records from a private insurer were used as sample for primary survey data collection in spring of 2015 using the Current Population Survey health insurance module. STUDY DESIGN: A reverse record check study where households with individuals enrolled in a range of public and private health insurance plans (including the marketplace) were administered a telephone survey that included questions about general source of coverage (eg, employer), program name (eg, Medicaid), portal, premium, and subsidies. DATA COLLECTION/EXTRACTION METHODS: Survey data were matched back to enrollment records, which indicated coverage status at the time of the survey. Concordance between the records and survey data was assessed. PRINCIPAL FINDINGS: Correct reporting of general source of coverage ranged from 77.8 percent to 98.3 percent across coverage type, premium ranged from 91.6 percent to 96.4 percent, and subsidy ranged from 83.0 percent to 91.0 percent. Using a conceptual algorithm to categorize coverage type resulted in sensitivity of 98.3 percent for employer-sponsored enrollees, and 70.6 percent-77.6 percent for the other coverage types, while specificity ranged from 93.9 percent to 99.4 percent across coverage types. CONCLUSIONS: Survey reports of features of coverage suggest they are viable items to include in an algorithm to categorize coverage type. Findings have implications beyond the CPS, particularly for marketplace enrollees.


Subject(s)
Health Services Accessibility/statistics & numerical data , Insurance Coverage/statistics & numerical data , Insurance, Health/statistics & numerical data , Medicaid/statistics & numerical data , Medically Uninsured/statistics & numerical data , Medicare/statistics & numerical data , State Health Plans/statistics & numerical data , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Socioeconomic Factors , Surveys and Questionnaires , United States
7.
Health Serv Res ; 53(5): 3770-3789, 2018 10.
Article in English | MEDLINE | ID: mdl-29952062

ABSTRACT

OBJECTIVE: To assess the impact of assignment to a Medicaid-focused versus mixed managed care plan on continuity of Medicaid coverage. DATA SOURCES: 2011-2016 Medicaid claims from a Northeastern state. STUDY DESIGN: Following the exit of a Medicaid managed care insurer, Medicaid administrators prioritized provider networks in reassigning enrollees, but randomly assigned beneficiaries whose providers were equally represented in the two plans. We leveraged the natural experiment created by random plan assignment and conducted an instrumental variable analysis. DATA COLLECTION: We analyzed Medicaid claims for 12,083 beneficiaries who were members of the exiting Blue Cross Blue Shield plan prior to January 1, 2011. PRINCIPAL FINDINGS: Managed care plan type did not significantly impact continuous enrollment in the Medicaid program. Greater outpatient utilization and the presence of a special need among children were associated with longer enrollment in Medicaid. CONCLUSIONS: Managed care plans did not differ in their capacity to keep Medicaid beneficiaries continuously enrolled in coverage, despite differences in plan features.


Subject(s)
Blue Cross Blue Shield Insurance Plans/statistics & numerical data , Insurance Coverage/statistics & numerical data , Managed Care Programs/statistics & numerical data , Medicaid/statistics & numerical data , State Health Plans/statistics & numerical data , Humans , United States
8.
Health Serv Res ; 53(5): 3750-3769, 2018 10.
Article in English | MEDLINE | ID: mdl-29774534

ABSTRACT

OBJECTIVE: The Affordable Care Act (ACA) introduced reforms to mitigate adverse selection into and within the individual insurance market. We examined the traits and predicted medical spending of enrollees in California post-ACA. DATA SOURCES: Survey of 2,103 enrollees in individual market plans, on- and off-exchange, in 2014. STUDY DESIGN: We compared actual versus potential participants using data from the 2014 California Health Interview Survey on respondents who were individually insured or uninsured. We predicted annual medical spending for each group using age, sex, self-rated health, body mass index, smoking status, and income. PRINCIPAL FINDINGS: Average predicted spending was similar for actual ($3,377, 95 percent CI [$3,280-$3,474]) and potential participants ($3,257 [$3,060-$3,454]); however, some vulnerable subgroups were underrepresented. On- versus off-exchange enrollees differed in sociodemographic and health traits with modest differences in spending ($3,448 [$3,330-$3,565] vs. $3,175 [$3,012-$3,338]). CONCLUSIONS: We did not find evidence of selection into the overall insurance pool in 2014; however, differences by exchange status reflect the importance of including off-exchange enrollees in analyses and the pool for risk adjustment. California's post-ACA individual market has been a relative success, highlighting the importance of state policies and outreach efforts to encourage participation in the market.


Subject(s)
Health Expenditures/statistics & numerical data , Insurance Selection Bias , Insurance, Health/statistics & numerical data , Patient Protection and Affordable Care Act , California , Health Insurance Exchanges/statistics & numerical data , Health Policy , Humans , Insurance Coverage/statistics & numerical data , Socioeconomic Factors , State Health Plans/statistics & numerical data , United States
9.
Cancer ; 124(9): 1912-1920, 2018 05 01.
Article in English | MEDLINE | ID: mdl-29415338

ABSTRACT

BACKGROUND: Cancer screening rates are lowest in those without insurance or a regular provider. Since 2008, the Colorectal Cancer Prevention Network (CCPN) has provided open access colonoscopy to uninsured residents of South Carolina through established, statewide partnerships and patient navigation. Herein, we describe the structure, implementation, and clinical outcomes of this program. METHODS: The CCPN provides access to colonoscopy screening at no cost to uninsured, asymptomatic patients aged 50-64 years (African Americans age 45-64 years are eligible) who live at or below 150% of the poverty line and seek medical care in free medical clinics, federally qualified health centers, or hospital-based indigent practices in South Carolina. Screening is performed by board-certified gastroenterologists. Descriptive statistics and regression analysis are used to describe the population screened, and to assess compliance rates and colonoscopy quality metrics. RESULTS: Out of >4000 patients referred to the program, 1854 were deemed eligible, 1144 attended an in-person navigation visit, and 1030 completed a colonoscopy; 909 were included in the final sample. Nearly 90% of participants exhibited good-to-excellent bowel preparation. An overall cecal intubation rate of 99% was measured. The polyp detection rate and adenoma detection rate were 63% and 36%, respectively, with male sex and urban residence positively associated with adenoma detection. Over 13% of participants had an advanced polyp, and 1% had a cancer diagnosis or surgical intervention. CONCLUSION: The CCPN program is characterized by strong collaboration with clinicians statewide, low no-show rates, and high colonoscopy quality. Future work will assess the effectiveness of the navigation approach and will explore the mechanisms driving higher adenoma detection in urban participants. Cancer 2018;124:1912-20. © 2018 American Cancer Society.


Subject(s)
Colorectal Neoplasms/diagnostic imaging , Early Detection of Cancer/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Mass Screening/statistics & numerical data , Medically Uninsured/statistics & numerical data , State Health Plans/statistics & numerical data , Asymptomatic Diseases , Colonoscopy/statistics & numerical data , Colorectal Neoplasms/epidemiology , Female , Humans , Male , Middle Aged , No-Show Patients/statistics & numerical data , Patient Navigation/statistics & numerical data , Poverty/statistics & numerical data , Program Evaluation , Rural Population/statistics & numerical data , Sex Factors , South Carolina/epidemiology , Urban Population/statistics & numerical data
10.
Med Care Res Rev ; 75(3): 384-393, 2018 06.
Article in English | MEDLINE | ID: mdl-29148331

ABSTRACT

Many insurers incurred financial losses in individual markets for health insurance during 2014, the first year of Affordable Care Act mandated changes. This analysis looks at key financial ratios of insurers to compare profitability in 2014 and 2013, identify factors driving financial performance, and contrast the financial performance of health insurers operating in state-run exchanges versus the federal exchange. Overall, the median loss of sampled insurers was -3.9%, no greater than their loss in 2013. Reduced administrative costs offset increases in medical losses. Insurers performed better in states with state-run exchanges than insurers in states using the federal exchange in 2014. Medical loss ratios are the underlying driver more than administrative costs in the difference in performance between states with federal versus state-run exchanges. Policy makers looking to improve the financial performance of the individual market should focus on features that differentiate the markets associated with state-run versus federal exchanges.


Subject(s)
Health Insurance Exchanges/economics , Insurance Carriers/economics , National Health Insurance, United States/economics , National Health Insurance, United States/statistics & numerical data , Patient Protection and Affordable Care Act/economics , State Health Plans/economics , State Health Plans/statistics & numerical data , Health Insurance Exchanges/statistics & numerical data , Humans , Insurance Carriers/statistics & numerical data , Patient Protection and Affordable Care Act/statistics & numerical data , United States
11.
Med Care Res Rev ; 75(5): 633-650, 2018 10.
Article in English | MEDLINE | ID: mdl-29148335

ABSTRACT

Coverage and access have improved under the Affordable Care Act, yet it is unclear whether recent gains have reached those regions within states that were most in need of improved access to care. We examined geographic variation in Medicaid acceptance among Michigan primary care practices before and after Medicaid expansion in the state, using data from a simulated patient study of primary care practices. We used logistic regression analysis with time indicators to assess regional changes in Medicaid acceptance over time. Geographic regions with lower baseline (<50%) Medicaid acceptance had significant increases in Medicaid acceptance at 4 and 8 months post-expansion, while regions with higher baseline (≥50%) Medicaid acceptance did not experience significant changes in Medicaid acceptance. As state Medicaid expansions continue to be implemented across the country, policy makers should consider the local dynamics of incentives for provider participation in Medicaid.


Subject(s)
Health Care Reform/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Insurance Coverage/statistics & numerical data , Medicaid/statistics & numerical data , Patient Protection and Affordable Care Act/statistics & numerical data , Primary Health Care/statistics & numerical data , State Health Plans/statistics & numerical data , Geography , Humans , Michigan , United States
12.
Laryngoscope ; 128(4): 915-920, 2018 04.
Article in English | MEDLINE | ID: mdl-29068051

ABSTRACT

OBJECTIVE: To assess differences in access to care and healthcare utilization among adults who reported voice problems in 2012. STUDY DESIGN: Cross-sectional study. METHODS: The 2012 National Health Interview Survey was utilized to evaluate adults who had a "voice problem in the past 12 months." Multivariate analyses determined the influence of sociodemographic variables on the prevalence of voice problems in adults and access to care. RESULTS: Among 243 million adults in the United States, 17.9 ± 0.05 million adults (7.63% ± 0.21%) report experiencing voice problems. After controlling for age, education, income level, geographic region, and health insurance status, African Americans (odds ratio [OR]: 0.83, P < 0.05), Hispanics (OR: 0.61, P < 0.01), and other minorities (OR: 0.69, P < 0.01) had a lower OR for reporting voice problems in the last year relative to white adults. Among adults with voice problems, Hispanics were more likely to delay care because they could not reach a medical office by telephone (OR: 1.85, P < 0.01) and due to long wait times at the doctor's office (OR: 2.04, P < 0.01) compared to white adults. Adults with voice problems who were a racial minority, low income, or had public health insurance were more likely to postpone care because they lacked a mode of transportation. CONCLUSION: Targeted programs are necessary to address the health disparities and barriers to care among those who suffer from voice problems. LEVEL OF EVIDENCE: IV. Laryngoscope, 128:915-920, 2018.


Subject(s)
Ethnicity , Health Services Accessibility/statistics & numerical data , Insurance, Health/statistics & numerical data , State Health Plans/statistics & numerical data , Voice Disorders/ethnology , Adolescent , Adult , Aged , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Morbidity/trends , Prevalence , Socioeconomic Factors , United States/epidemiology , Voice Disorders/economics , Young Adult
13.
JAMA ; 317(24): 2524-2531, 2017 06 27.
Article in English | MEDLINE | ID: mdl-28655014

ABSTRACT

Importance: State Medicaid programs have increasingly contracted with insurers to provide medical care services for enrollees (Medicaid managed care plans). Insurers that provide these plans can exit Medicaid programs each year, with unclear effects on quality of care and health care experiences. Objective: To determine the frequency and interstate variation of health plan exit from Medicaid managed care and evaluate the relationship between health plan exit and market-level quality. Design, Setting, and Participants: Retrospective cohort of all comprehensive Medicaid managed care plans (N = 390) during the interval 2006-2014. Exposures: Plan exit, defined as the withdrawal of a managed care plan from a state's Medicaid program. Main Outcomes and Measures: Eight measures from the Healthcare Effectiveness Data and Information Set were used to construct 3 composite indicators of quality (preventive care, chronic disease care management, and maternity care). Four measures from the Consumer Assessment of Healthcare Providers and Systems were combined into a composite indicator of patient experience, reflecting the proportion of beneficiaries rating experiences as 8 or above on a 0-to-10-point scale. Outcome data were available for 248 plans (68% of plans operating prior to 2014, representing 78% of beneficiaries). Results: Of the 366 comprehensive Medicaid managed care plans operating prior to 2014, 106 exited Medicaid. These exiting plans enrolled 4 848 310 Medicaid beneficiaries, with a mean of 606 039 beneficiaries affected by plan exits annually. Six states had a mean of greater than 10% of Medicaid managed care recipients enrolled in plans that exited, whereas 10 states experienced no plan exits. Plans that exited from a state's Medicaid market performed significantly worse prior to exiting than those that remained in terms of preventive care (57.5% vs 60.4%; difference, 2.9% [95% CI, 0.3% to 5.5%]), maternity care (69.7% vs 73.6%; difference, 3.8% [95% CI, 1.7% to 6.0%]), and patient experience (73.5% vs 74.8%; difference, 1.3% [95% CI, 0.6% to 1.9%]). There was no significant difference between exiting and nonexiting plans for the quality of chronic disease care management (76.2% vs 77.1%; difference, 1.0% [95% CI, -2.1% to 4.0%]). There was also no significant change in overall market performance before and after the exit of a plan: 0.7-percentage point improvement in preventive care quality (95% CI, -4.9 to 6.3); 0.2-percentage point improvement in chronic disease care management quality (95% CI, -5.8 to 6.2); 0.7-percentage point decrease in maternity care quality (95% CI, -6.4 to 5.0]); and a 0.6-percentage point improvement in patient experience ratings (95% CI, -3.9 to 5.1). Medicaid beneficiaries enrolled in exiting plans had access to coverage for a higher-quality plan, with 78% of plans in the same county having higher quality for preventive care, 71.1% for chronic disease management, 65.5% for maternity care, and 80.8% for patient experience. Conclusions and Relevance: Between 2006 and 2014, health plan exit from the US Medicaid program was frequent. Plans that exited generally had lower quality ratings than those that remained, and the exits were not associated with significant overall changes in quality or patient experience in the plans in the Medicaid market.


Subject(s)
Insurance Carriers/standards , Managed Care Programs/standards , Medicaid/standards , Quality of Health Care/standards , State Health Plans/standards , Chronic Disease/epidemiology , Chronic Disease/therapy , Consumer Advocacy , Decision Making, Organizational , Humans , Insurance Carriers/statistics & numerical data , Managed Care Programs/statistics & numerical data , Maternal Health Services/standards , Maternal Health Services/statistics & numerical data , Medicaid/statistics & numerical data , Preventive Health Services/standards , Preventive Health Services/statistics & numerical data , Quality Assurance, Health Care , Quality of Health Care/statistics & numerical data , Retrospective Studies , State Health Plans/statistics & numerical data , United States
14.
Pediatr Emerg Care ; 33(3): 171-180, 2017 Mar.
Article in English | MEDLINE | ID: mdl-28248756

ABSTRACT

OBJECTIVE: The aim of this study was to evaluate whether enrollment in the Healthy Beginnings System of Care (SOC) model is associated with a decrease in emergency department (ED) visits among children aged 6 months to 5.5 years. METHODS: A retrospective, longitudinal study of ED utilization was conducted among children enrolled in the Healthy Beginnings SOC model between February 2011 and May 2013. Using medical records obtained from a children's hospital in Atlanta, the rate of ED visits per quarter was examined as the main outcome. A multilevel, multivariate Poisson model, with family- and child-level random effects, compared ED utilization rates before and after enrollment. Adjusted rate ratios and 95% confidence intervals were calculated after controlling for sociodemographic confounders. RESULTS: The effect of SOC enrollment on the rate of ED visits differed by income level of the primary parent. The rate of ED visits after enrollment was not significantly different than the rate of ED visits before enrollment for children whose primary parent had an annual income of less than $5000 (P = 0.298), $20,000 to $29,999 (P = 0.199), or $30,000 or more (P = 0.117). However, for the children whose primary parent's annual income was $5000 to $19,999, the rate of ED visits after enrollment was significantly higher than the rate of ED visits before enrollment (adjusted rate ratio, 1.48; 95% confidence interval, 1.17-1.87). CONCLUSIONS: Enrollment in the SOC model does not appear to decrease the rate of ED visits among enrolled children. Additional strategies, such as education sessions on ED utilization, are needed to reduce the rate of ED utilization among SOC-enrolled children.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , State Health Plans/statistics & numerical data , Child , Child, Preschool , Female , Hospitals, Pediatric , Humans , Infant , Longitudinal Studies , Male , Managed Care Programs/statistics & numerical data , Retrospective Studies
15.
Adm Policy Ment Health ; 44(2): 243-257, 2017 Mar.
Article in English | MEDLINE | ID: mdl-26860953

ABSTRACT

To describe state responses to psychotropic medication safety concerns among children in foster care, this study proposes a taxonomy for state-level psychotropic medication monitoring mechanisms and highlights state variations. Seventy-two key informants, representing state child-serving agencies within the 50 states and DC, completed semi-structured interviews. We employed modified grounded theory to develop the taxonomy, and then generated state-specific summaries that were validated by key informants. Nationally, 88.2 % of the states employed at least one of seven mechanisms. For the most frequently implemented mechanisms (collegial secondary review, prior authorization, database review), over half were implemented between January 2011 and July 2013.


Subject(s)
Drug Monitoring/methods , Drug Monitoring/statistics & numerical data , Drug Utilization/statistics & numerical data , Foster Home Care/organization & administration , Foster Home Care/statistics & numerical data , Neurodevelopmental Disorders/drug therapy , Psychotropic Drugs/therapeutic use , State Health Plans/statistics & numerical data , Adolescent , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , United States
16.
Health Aff (Millwood) ; 35(12): 2277-2281, 2016 12 01.
Article in English | MEDLINE | ID: mdl-27920316

ABSTRACT

After accounting for supplemental payments, we found that in 2011, disproportionate-share hospitals, on average, received gross Medicaid payments that totaled 108 percent of their costs for treating Medicaid patients but only 89 percent of their costs for Medicaid and uninsured patients combined. However, these payments were reduced by approximately 4-11 percent after we accounted for provider taxes and local government contributions that are used to help finance Medicaid payments.


Subject(s)
Fees and Charges , Health Expenditures/statistics & numerical data , Hospitals , Medicaid/statistics & numerical data , Taxes , Humans , Medically Uninsured , State Health Plans/statistics & numerical data , United States
17.
Healthc (Amst) ; 4(3): 217-24, 2016 Sep.
Article in English | MEDLINE | ID: mdl-27637829

ABSTRACT

OBJECTIVE: The Children's Health Insurance Program (CHIP) was re-authorized in 2009, ushering in an unprecedented focus on children's health care quality one of which includes identifying a core set of performance measures for voluntary reporting by states' Medicaid/CHIP programs. However, there is a wide variation in the quantity and quality of measures states chose to report to the Center's for Medicare & Medicaid Services (CMS). The objective of this study is to assess reporting barriers and to identify potential opportunities for improvement. METHODS: From 2013 to 2014 a questionnaire developed in coordination with CMS and the Agency for Healthcare Research and Quality (AHRQ) was sent to state Medicaid and CHIP officials to assess barriers to child health quality reporting for Federal Fiscal Year 2012. States were categorized as high, medium, or low reporting for comparative analysis. RESULTS: Twenty-five of the 50 states and the District of Columbia agreed to participate in the study and completed the questionnaire. States placed a high priority on children's health care quality reporting (4.2 of 5 point Likert Scale, SD 0.99) and 96% plan to use measurement results to further improve their quality initiatives. However, low reporting states believed they had inadequate staffing and that data collection and extraction was too time-consuming than high reporting states. CONCLUSION: Based on state responses, possible solutions to improve reporting includes funding and staff support, refining the technical assistance provided, and creating venues for state-to-state interaction. Realistic and tangible improvements are within reach and opportunities for CMS and states to collaborate to improve child health care quality.


Subject(s)
Child Health Services/statistics & numerical data , Child Health Services/standards , Medicaid , Quality Indicators, Health Care/statistics & numerical data , State Health Plans/statistics & numerical data , Centers for Medicare and Medicaid Services, U.S. , Child , Child Welfare , Humans , State Health Plans/trends , Surveys and Questionnaires , United States , United States Agency for Healthcare Research and Quality
18.
Pituitary ; 19(2): 167-74, 2016 Apr.
Article in English | MEDLINE | ID: mdl-26667029

ABSTRACT

PURPOSE: This study aimed to develop an algorithm to identify patients with CD, and quantify the clinical and economic burden that patients with CD face compared to CD-free controls. METHODS: A retrospective cohort study of CD patients was conducted in a large US commercial health plan database between 1/1/2007 and 12/31/2011. A control group with no evidence of CD during the same time was matched 1:3 based on demographics. Comorbidity rates were compared using Poisson and health care costs were compared using robust variance estimation. RESULTS: A case-finding algorithm identified 877 CD patients, who were matched to 2631 CD-free controls. The age and sex distribution of the selected population matched the known epidemiology of CD. CD patients were found to have comorbidity rates that were two to five times higher and health care costs that were four to seven times higher than CD-free controls. CONCLUSION: An algorithm based on eight pituitary conditions and procedures appeared to identify CD patients in a claims database without a unique diagnosis code. Young CD patients had high rates of comorbidities that are more commonly observed in an older population (e.g., diabetes, hypertension, and cardiovascular disease). Observed health care costs were also high for CD patients compared to CD-free controls, but may have been even higher if the sample had included healthier controls with no health care use as well. Earlier diagnosis, improved surgery success rates, and better treatments may all help to reduce the chronic comorbidity and high health care costs associated with CD.


Subject(s)
Algorithms , Health Care Costs , Pituitary ACTH Hypersecretion/economics , Pituitary ACTH Hypersecretion/epidemiology , Adolescent , Adult , Case-Control Studies , Child , Child, Preschool , Databases, Factual/statistics & numerical data , Female , Health Care Costs/trends , Humans , Infant , Male , Middle Aged , Models, Economic , Retrospective Studies , State Health Plans/statistics & numerical data , United States/epidemiology , Young Adult
19.
Psychiatr Serv ; 66(12): 1277-82, 2015 Dec 01.
Article in English | MEDLINE | ID: mdl-26278224

ABSTRACT

OBJECTIVE: This study examined how state decisions not to expand Medicaid have affected behavioral health services utilization in health centers. Because health center revenues are adversely affected, the ability to provide on-site nonrequired services, such as specialty mental health and substance abuse treatment services, is compromised. METHODS: Using 2012 Uniform Data System data and the projected health center insurance case mix in 2020, the authors estimated the amount of additional revenue that could accrue to health centers if all states were to expand Medicaid by 2020. Using the estimated percentage of total revenues supporting the provision of specialty behavioral treatment services, the authors also estimated the number of encounters with behavioral health specialists that might be possible in 2020 if all states expand Medicaid by then. State-specific estimates are provided. RESULTS: If all states expand Medicaid by 2020, it is estimated that nearly $230 million in additional revenue could accrue to health centers in states that opted out of expanding Medicaid in 2014. An estimated $11.3 million would likely be used for mental health services and $1.6 million might be used to provide substance use disorder services. This translates to over 70,500 additional encounters that could occur with behavioral health specialists if all states expand Medicaid by 2020. CONCLUSIONS: On-site behavioral health services are needed in health centers. However, financial constraints might limit the ability of health centers to provide on-site behavioral health services, particularly in states opting out of Medicaid expansion.


Subject(s)
Community Health Centers/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Medicaid/statistics & numerical data , Mental Health Services/statistics & numerical data , State Health Plans/statistics & numerical data , Adolescent , Adult , Aged , Child , Child, Preschool , Female , Humans , Infant , Male , Middle Aged , State Government , United States , Young Adult
20.
Prev Chronic Dis ; 12: E105, 2015 Jul 02.
Article in English | MEDLINE | ID: mdl-26133648

ABSTRACT

INTRODUCTION: Hypertension is a risk factor for cardiovascular disease (CVD), the leading cause of death in the United States. The treatment and control of hypertension is inadequate, especially among patients without health insurance coverage. The Affordable Care Act offered an opportunity to improve hypertension management by increasing the number of people covered by insurance. This study predicts the long-term effects of improved hypertension treatment rates due to insurance expansions on the prevalence and mortality rates of CVD of nonelderly Americans with hypertension. METHODS: We developed a state-transition model to simulate the lifetime health events of the population aged 25 to 64 years. We modeled the effects of insurance coverage expansions on the basis of published findings on the relationship between insurance coverage, use of antihypertensive medications, and CVD-related events and deaths. RESULTS: The model projected that currently anticipated health insurance expansions would lead to a 5.1% increase in treatment rate among hypertensive patients. Such an increase in treatment rate is estimated to lead to 111,000 fewer new coronary heart disease events, 63,000 fewer stroke events, and 95,000 fewer CVD-related deaths by 2050. The estimated benefits were slightly greater for men than for women and were greater among nonwhite populations. CONCLUSION: Federal and state efforts to expand insurance coverage among nonelderly adults could yield significant health benefits in terms of CVD prevalence and mortality rates and narrow the racial/ethnic disparities in health outcomes for patients with hypertension.


Subject(s)
Antihypertensive Agents/economics , Early Medical Intervention/economics , Health Services Accessibility/statistics & numerical data , Hypertension/drug therapy , Insurance Coverage/statistics & numerical data , Patient Protection and Affordable Care Act , Adult , Age Distribution , Angina Pectoris/epidemiology , Antihypertensive Agents/therapeutic use , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/mortality , Cardiovascular Diseases/prevention & control , Cohort Studies , Confounding Factors, Epidemiologic , Early Medical Intervention/statistics & numerical data , Ethnicity/statistics & numerical data , Female , Health Status Indicators , Healthcare Disparities , Humans , Hypertension/epidemiology , Insurance Coverage/trends , Male , Markov Chains , Medicaid/statistics & numerical data , Medically Uninsured/statistics & numerical data , Middle Aged , Models, Economic , Outcome and Process Assessment, Health Care/methods , Prevalence , Risk Factors , Sex Distribution , State Health Plans/statistics & numerical data , Stroke/epidemiology , United States/epidemiology
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