Chrome Extension
WeChat Mini Program
Use on ChatGLM

Heterogeneity in the quality of care for patients with multiple chronic conditions by psychiatric comorbidity.

Medical care(2014)

Cited 33|Views3
No score
Abstract
BACKGROUND:Little is known about the quality of care received by Medicaid enrollees with multiple chronic conditions (MCCs) and whether quality is different for those with mental illness. OBJECTIVES:To examine cancer screening and single-disease quality of care measures in a Medicaid population with MCC and to compare quality measures among persons with MCC with varying medical comorbidities with and without depression or schizophrenia. RESEARCH DESIGN:Secondary data analysis using a unique data source combining Medicaid claims with other administrative datasets from North Carolina's mental health system. SUBJECTS:Medicaid-enrolled adults aged 18 and older with ≥2 of 8 chronic conditions (asthma, chronic obstructive pulmonary disease, diabetes, hypertension, hyperlipidemia, seizure disorder, depression, or schizophrenia). Medicare/Medicaid dual enrollees were excluded due to incomplete data on their medical care utilization. MEASURES:We examined a number of quality measures, including cancer screening, disease-specific metrics, such as receipt of hemoglobin A1C tests for persons with diabetes, and receipt of psychosocial therapies for persons with depression or schizophrenia, and medication adherence. RESULTS:Quality of care metrics was generally lower among those with depression or schizophrenia, and often higher among those with increasing levels of medical comorbidities. A number of exceptions to these trends were noted. CONCLUSIONS:Cancer screening and single-disease quality measures may provide a benchmark for overall quality of care for persons with MCC; these measures were generally lower among persons with MCC and mental illness. Further research on quality measures that better reflect the complex care received by persons with MCC is essential.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined