Beyond Health Plans
Behavioral Health Disorders and Quality of Diabetes and Asthma Care for Medicaid Beneficiaries
Datos Bibliográficos
| ID | 9102811 |
|---|---|
| Autores | Robin E Clark (0000-0001-6779-3736, University of Massachusetts Chan Medical School, autor de correspondencia), Sharada Weir (0000-0002-3206-6034, University of Massachusetts Chan Medical School, autor de correspondencia), Rebecca A Ouellette (autor de correspondencia), Jianying Zhang (0000-0002-6086-309X, autor de correspondencia), Jeffrey D Baxter (University of Massachusetts Chan Medical School, autor de correspondencia) |
| Año | 2009 |
| Volumen | 47 |
| Número | 5 |
| Páginas | 545-552 |
| Fecha de publicación | 2009-05-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Medical Care (JOURNAL) |
| Identificadores de la revista | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editorial | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e318190db45 |
| PMID | 19319000 |
| OpenAlex | W1972726384 |
| Idioma | EN |
| Citas recibidas | 6 |
| Referencias citadas | 26 |
BACKGROUND: Most health insurance plans monitor ambulatory care quality using the Healthcare Effectiveness Data and Information Set (HEDIS), publicly reporting results at the plan level. Plan-level comparisons obscure the influence of patients served or settings where care is delivered. Mental illness, substance abuse, and other physical comorbidities, particularly prevalent among Medicaid beneficiaries, can impact adherence to recommended care. We analyzed individual-level HEDIS measures for diabetes and asthma from 5 Medicaid managed care plans to understand how these factors contribute to quality. METHODS: We used claims and medical records to study HEDIS measures for persistent asthma (n = 9103) and diabetes (n = 1790) among beneficiaries enrolled in Massachusetts' Medicaid program during 2004 and 2005. Logistic regression models included patient-level demographic and health factors, provider type, region, and managed care plan. RESULTS: Alcohol and drug use disorders and emergency department use were associated with lower quality care for most measures. Glycemic control was better for patients with diabetes and severe mental illness. Patients with higher illness burden and with more frequent ambulatory visits received higher quality care for both conditions. Younger adults received recommended care less often than older adults. Quality varied across plans. CONCLUSIONS: Additional efforts to improve quality of care for asthma and diabetes for Medicaid beneficiaries are needed for individuals with substance use disorders and young adults. Although evidence of higher quality for patients with multiple conditions is encouraging, improving quality for comparatively healthier individuals might also produce significant long-term benefits
MEDLINE · Political science · Chronic Disease Management Strategies · Diabetes Management and Education · Medicine · Primary Care and Health Outcomes
Older Adults’ Inpatient and Emergency Department Utilization for Ambulatory-Care-Sensitive Conditions
Health Care Utilization Patterns of Homeless Individuals in Boston
Frequent Emergency Department Visits and Hospitalizations Among Homeless People With Medicaid
Associations of Co-Occurring Substance Use Disorder With Diabetes Care Quality, Complications, and Hospitalizations
Mental Comorbidity and Quality of Diabetes Care Under Medicaid
The Effect of a Telephone-based Health Coaching Disease Management Program on Medicaid Members With Chronic Conditions
Racial Disparities in the Quality of Care for Enrollees in Medicare Managed Care
The Effects of Patient Volume on the Quality of Diabetic Care for Medicare Beneficiaries
Nonurgent Emergency Department Visits
Impact of Sociodemographic Case Mix on the Hedis Measures of Health Plan Quality
Prospective association of anxiety, depressive, and addictive disorders with high utilization of primary, specialty and emergency medical care
| Obras citantes distintas | 6 |
|---|---|
| Citas por año | 0,38 |
| Intervalo de citas | 2010 - 2025 (16) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 6 |