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20 Cards in this Set

  • Front
  • Back
3 Fundamental differences that generate healthcare disparities
Quality of Health Care
Access to Health Care
Human Populations
Measures of Quality in Health care
Measures of Quality in Health Care
-Effectiveness (Outcomes)
-Patient Safety
-Timeliness
-Patient Centeredness

Factors that Confound Quality Measures
-Underlying rates of illness
-Genetic Variation
-Local environmental conditions
-Culture or Lifestyle
Quality of Health care
Preventive Medicine
-Primary Care Physician
Acute Treatment
-Emergency Dept
-Outpatient Clinic
Chronic Disease Management
-Primary Care Physician
-Specialist
Access to health care
Primary Care
Acute Medical Care
-Emergency Dept
-Outpatient Clinic
-Hospital
Long-Term Medical Care
-Nursing Home
-Palliative or End-of-Life Care
Facilitators and barriers for access to health care
Care-seeking behavior
-Cultural beliefs and Linguistic barriers
-Trust in healthcare providers
-Predisposition to seek timely care (or delay)

Availability of Care
-Ability to pay (cash or insurance)
-Location
-Management and delivery of services
-Health care practitioner beliefs

Division of responsibility
-Individual
-Public sector vs Private sector
Recommendations from IOM on disparities in healthcare
Raise public and provider awareness of disparities in care
Avoid health care plan fragmentation along socioeconomic lines
Raise understanding of contribution of bias, stereotyping, prejudice, and clinical uncertainty
Increase knowledge base on causes and interventions to reduce disparities
Raise proportion of minorities among healthcare providers
Prevalence of spirometry documented COPD
Women have less COPD than men

Mostly due to differences in smoking
Prevalence of self reported COPD
Women have higher levels than men

Could be due to differences in reporting and/or who receives spirometry testing
Smoking effects on FEV1 and COPD in women
Excess loss of FEV1 per amount smoked compared to men

Hospitalizations for COPD (RR=1.5-3.6)
Quitting smoking effects in women and men
Women sustained quitters (SQ) gained more lung function than men in year 1
Women continued smokers (CS) lost more lung function than men
COPD mortality by gender
As of 2000, women's COPD mortality surpassed men
Gender bias in diagnosis of COPD
Men more likely to be diagnosed with COPD than women with exact same complaints. Men also more likely to receive spirometry than women.
Gender bias in management of COPD
Women are more likely to report severe dyspnea

Women are more likely to receive smoking cessation counseling

Women are less likely to be evaluated with spirometry
COPD and women overview
Women are a tobacco marketing target
Women get more severe COPD than men when they smoke…but improve more after quitting
Women feel worse than men
Women are less likely to be quantitatively evaluated
Women less likely to be prescribed therapy
Women die more of COPD
Lung cancer disparities
African Americans more likely to get lung cancer than whites

African Americans less likely to receive invasive staging

African Americans and other races less likely to be offered surgery. Age and women also have disparities

Surgery is not recommended for more AA with lung cancer than whites
Asthma: morbidity, mortality, communication, literacy
African americans and puerto ricans have higher morbidity and mortality from asthma.

Poor communication among AA and physicians

Literacy plays a role
-Worse inhaler technique
Asthma: environmental exposures
Indoor Allergens
-Cockroach, mold, rat, mouse exposure and sensitization
-2-3x higher healthcare utilization

Environmental Tobacco Smoke
-48% Children with Elevated Cotinine Levels in the NCICAS*

Nitrogen Dioxide*
-24% Families Exposed to > 40 ppb in NCICAS
-EPA limit = 50 ppb

Ozone and Particulate Matter
-Increased symptoms and medications

Inner city residents have greatly increased risk of these exposures
Salmeterol Trial
Increase in asthma related life threatening events and death when salmeterol (LABA) is used alone

Supposed to be used in addition to an ICS
LABA drug treatment failure
African Americans failed 44% of time

Non-hispanic whites failed 25% of time
Different degrees of African Ancestry
Lower levels of FEV1, even more so with increased African ancestry