Adjusting Antidepressant Quality Measures for Race and Ethnicity.

نویسندگان

  • Gregory E Simon
  • Karen J Coleman
  • Beth E Waitzfelder
  • Arne Beck
  • Rebecca C Rossom
  • Christine Stewart
  • Robert B Penfold
چکیده

Adjusting Antidepressant QualityMeasures for Race and Ethnicity Increasing awareness of health care disparities has prompted reexamination of the National Quality Forum recommendation that measures of health care quality not be adjusted for patients’ sociodemographic characteristics.Adjustmentmight appear to endorse poorer-quality care for those traditionally underserved. However, Fiscella and colleagues1 pointed out that failure to adjust for sociodemographic differencesmight unfairlypenalizehealthsystemsservingdisadvantagedgroups. Jha and Zaslavsky2 argued that quality measures should be adjusted for patient characteristics when differences between health systems are confounded by differences between the patients they serve. In those cases, stratified reporting of quality measures would both reveal health disparities and permit fairer comparisons of quality across health systems or facilities. Given that rates of mental health treatment differ markedly by race and ethnicity,3 this cohort study examined how stratifying by race/ethnicity would affect a specific mental healthcarequalitymeasure: theproportionofoutpatientsstarting antidepressant treatmentwho receive adequate or potentially effective acute-phase treatment.4

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Disparities in Depressive Symptoms and Antidepressant Treatment by Gender and Race/Ethnicity among People Living with HIV in the United States

OBJECTIVE To describe disparities along the depression treatment cascade, from indication for antidepressant treatment to effective treatment, in HIV-infected individuals by gender and race/ethnicity. METHODS The Center for AIDS Research (CFAR) Network of Integrated Clinical Systems (CNICS) cohort includes 31,000 HIV-infected adults in routine clinical care at 8 sites. Individuals were includ...

متن کامل

Use of geocoding in managed care settings to identify quality disparities.

Tracking quality-of-care measures is essential for improving care, particularly for vulnerable populations. Although managed care plans routinely track quality measures, few examine whether their performance differs by enrollee race/ethnicity or socioeconomic status (SES), in part because plans do not collect that information. We show that plans can begin examining and targeting potential dispa...

متن کامل

Race and Ethnic Differences in the Associations between Cardiovascular Diseases, Anxiety, and Depression in the United States

Introduction: Although cardiovascular diseases and psychiatric disorders are linked, it is not yet known if such links are independent of comorbid medical diseases and if these associations depend on race and ethnicity. This study aimed to determine if the associations between cardiovascular diseases with general anxiety disorder (GAD) and major depressive episode (MDE) are ind...

متن کامل

Using Bayesian Imputation to Assess Racial and Ethnic Disparities in Pediatric Performance Measures.

OBJECTIVE To analyze health care disparities in pediatric quality of care measures and determine the impact of data imputation. DATA SOURCES Five HEDIS measures are calculated based on 2012 administrative data for 145,652 children in two public insurance programs in Florida. METHODS The Bayesian Improved Surname and Geocoding (BISG) imputation method is used to impute missing race and ethni...

متن کامل

Impact of Race/Ethnicity and Socioeconomic Status on Risk-Adjusted Readmission Rates

Under the Hospital Readmissions Reduction Program (HRRP) of the Centers for Medicare & Medicaid Services (CMS), hospitals with excess readmissions for select conditions and procedures are penalized. However, readmission rates are not risk adjusted for socioeconomic status (SES) or race/ethnicity. We examined how adding SES and race/ethnicity to the CMS risk-adjustment algorithm would affect hos...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JAMA psychiatry

دوره 72 10  شماره 

صفحات  -

تاریخ انتشار 2015