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Determinants of Asthma Morbidity Among Inner-City Populations
Juan P. Wisnivesky, MD, MPHDivisions of General Internal Medicine and Pulmonary, Critical Care, and Sleep Medicine Mount Sinai School of Medicine
Inner-City Asthma
Asthma is a chronic disease affecting 15 to 17 million Americans
Minority inner-city populations are disproportionately affected by asthma
African Americans and Hispanics have 2 to 3 times greater rates of death due to asthma when compared to whites
New York City has asthma mortality rates 10 times the national average
Determinants of Morbidity Among Inner-City Asthmatics
Study Goal: to evaluate the role of patient, provider, and environmental factors on outcomes of inner-city asthmatics
Baseline SurveyMount Sinai HospitalRutgers University
Pulmonary function testsBlood for IgE, serum, DNA
Chart review
1st Telephone Follow-up
2nd Telephone Follow-up
0Time (months)
1231
Electronic measure of adherence
DemographicsAsthma regimen
Medication beliefsDisease beliefsCommunication
AdherenceAsthma control
Resource utilizationQuality of life
3rd Telephone Follow-up
Study OutlinePhysician SurveyMount Sinai HospitalMetropolitan HospitalNorth General HospitalLocal health centersRutgers University
Physician FactorsKnowledge Attitudes
CommunicationLanguage
Behavioral ProcessesAdherence to controller meds
AdherenceSelf-regulation of meds
Self-monitoringTrigger avoidance
OutcomesSymptoms
Quality of lifeAirway function
Resource utilization
System Factors
Access to carePt education capacity
Gatekeeping Insurance
Transportation
Cognitive/Emotional Processes
Self Regulation beliefsKnowledgeSelf efficacy
Depression/anxiety
Clinical FactorsGenetics
Asthma historySensitization
Smoking
PATIENTEnvironmental
FactorsHousing conditions
Passive smokingAeroallergensAir Pollution
Potential Determinants of Asthma Morbidity in Inner-City Populations
SociodemographicsAge, sex, race, ethnicity
Language, Culture,Education, Income
Characteristics of Study Population (N=326)
Age (yrs), mean+SD 48+13Female (%) 83Race/Ethnicity (%) Hispanic 56 African-American 28 White 12 Others 4 Insurance (%) Medicaid 62 Medicare 18 Commercial 17 Uninsured 3Income <$15,000/yr (%) 62Asthma History Age Onset (yrs), mean+SD 26+15 ED visit last year (%) 52 Hospitalized last year (%) 23
ValueCharacteristic
Controller Medication (%) 87Comorbid Conditions (%) Eczema 19 Chronic sinusitis 23 Diabetes 25 Hypertension 46 Environmental Exposure (%) Second hand smoking 25 Cat 23 Cockroach 44 Dampness/Mold 51 Rodents 40
ValueCharacteristic
Disease Beliefs and Asthma Self-Management Self-management is critical for long-term asthma control
"Do you think you have asthma all of the time or only when you are having symptoms?"
Responses: I have it all of the time Most of the time Some of the time Only when I am having symptoms
53% of patients were classified as having the no symptoms-no asthma, acute episodic disease belief
Halm EA, et al. No Symptoms, No Asthma. The Acute Episodic Disease Belief Is Associated With Poor Self-Management Among Inner-City Adults With Persistent Asthma. Chest, 2006.
Beliefs and Behaviors AcuteBelief, %
Chronic Belief, % OR (CI)
I will not always have asthma 31 9 4.49 (1.94–10.42)
My lungs are always inflamed/irritated 43 67 0.36 (0.20–0.66)
Medication beliefs
ICS use is important when no symptoms 56 77 0.38 (0.19–0.74)
Medication adherence (ICS)
Use it all/most of the time when no symptoms 45 70 0.35 (0.19–0.64)
Other self-management behaviors
Routine asthma visits when no symptoms 50 65 0.54 (0.30–0.97)
Use PFM all/most of the days 14 30 0.39 (0.19–0.80)
Use PFM to self-adjust medicines 15 25 0.53 (0.25–1.09)
Associations Between the No Symptoms, No Asthma Belief and Other Key Asthma Beliefs and Behaviors
Adherence to Inhaled Corticosteroids (ICS)Adherence to Inhaled Corticosteroids (ICS)
ICS are the cornerstone of asthma therapy
Adherence to ICS is often suboptimal
Medication Adherence Reporting Scale (MARS)
60 patients were given an electronic monitoring device
53% of prescribed days used ICS, 35% of the doses prescribed
Identify key medication beliefs independently associated with adherence with ICS
MDI Log
Medication Beliefs Associated with ICS Adherence (MARS)
Repeated measures regression adjusted for age, sex, prior Repeated measures regression adjusted for age, sex, prior intubation, and frequency of oral steroid useintubation, and frequency of oral steroid use
Medication Belief OR P-valueImportant to take when asymptomatic 4.2 <0.001
Confident in ability to use ICS as prescribed 2.2 <0.001
Worry about side effects 0.5 <0.001
Medication regimen hard to follow 0.5 0.04
The Relationship Between Language Barriers and Outcomes of Inner-city Asthmatics
11 million people living in the US have no or limited English-language skills
Limited English proficiency can impair access to quality health care
Adequate patient-provider communication is a key aspect of asthma management
The objective of this analysis was to assess how language barriers affect the outcomes of adult inner-city asthmatics
1-MonthFollow-up
1
2
3
4
Ast
hma
Con
trol
Sco
re
3-MonthFollow-up
P=0.01 P<0.0001
Non-HispanicsHispanics, Proficient in EnglishHispanics, Limited Proficiency
Asthma Control in Relationship to English Proficiency
Wisnivesky J, et al. Assessing the Relationship between Language Proficiency and Asthma Morbidity amongst Inner-city Asthmatics. Medical Care, In Press.
Non-HispanicsHispanics, Proficient in EnglishHispanics, Limited Proficiency
10
20
30
40
Perc
enta
ge
OutpatientExacerbations
P=0.004
ED Visits-Hospitalizations
P=0.007
Resource Utilization in Relationship to English Proficiency
Qua
lity
of L
ife S
core
1-MonthFollow-up
3
4
5
6
3-MonthFollow-up
P=0.002 P=0.0001
Non-HispanicsHispanics, Proficient in EnglishHispanics, Limited Proficiency
Quality of Life in Relationship to English Proficiency
Medication and Disease Beliefs, Self-Efficacy, and Adherence According to English Proficiency
Variable
Medication Beliefs (%) Worry Side Effects ICS Worry Addiction to ICS ICS are Controller Meds
Disease Beliefs (%) No Symptoms, No Asthma Asthma is Chronic Disease
Self-efficacy (%) Confident Control Asthma Confident Use ICS Control Over Future Health
P-value
0.002<0.0001
0.19
0.0090.02
0.0030.02
<0.0001
Non-Hispanics
n=141
402485
2872
849586
Hispanic,Proficient
n=120
513180
4262
769276
Hispanics, Limited Proficiency
n=57
694673
4753
567949
The Role of Allergic Sensitization on Asthma Morbidity
Inner-city residents are often exposed to high levels of indoor allergens
Sensitization to cockroach allergen has been linked to increased asthma morbidity in children
Recent data suggest that sensitization to indoor allergens may worsen asthma in elderly patients and pregnant women
Objective of the study was to evaluate the role of sensitization to indoor allergens on asthma control among inner-city asthmatics
Prevalence of Sensitization to Indoor Allergens Among Inner-city Asthmatics
Per
cent
Sen
sitiz
ed
10
20
40
0
30
50
Wisnivesky J, et al. Association between indoor allergen sensitization and asthma morbidity in inner-city asthmatics. JACI, 2007.
Dust Mites
Cockroach MouseCat Molds
Sensitized
Not sensitized
0 1 31
2
3
4
Ast
hma
Con
trol S
core
Time (months)
Cockroach Sensitization
0 1 31
2
3
4
Ast
hma
Con
trol S
core
Time (months)
Cat Sensitization
p >0.4 p >0.15
0 1 31
2
3
4
Ast
hma
Con
trol S
core
Time (months)
Mouse Sensitization
0 1 31
2
3
4
Ast
hma
Con
trol S
core
Time (months)
Mold Sensitization
p >0.2 p >0.6
Sensitized
Not sensitized
Sensitized
Not sensitizedSensitized
Not sensitized
Asthma Control According to Sensitization Status
SteroidUse
0
10
20
30
Per
cent
age
Cockroach Sensitization Cat Sensitization
Mouse Sensitization Mold Sensitization
Resource Utilization According to Sensitization Status
EDVisit
SteroidUse
EDVisit
0
10
20
30
Per
cent
age
0
10
20
30
Per
cent
age
0
10
20
30
Per
cent
age
SteroidUse
EDVisit
SteroidUse
EDVisit
Sensitized
Not sensitized
Sensitized
Not sensitizedSensitized
Not sensitized
**P=0.06
Attitudes BehaviorKnowledge
Lack of Familiarity• volume• time• accessibility
Lack of Awareness• volume• time• accessibility
Lack of Agreement
• specific items• guidelines in general
Lack of Outcome
Expectancy
Lack of Self-efficacy
Lack of Motivation/
Inertia
External Barriers• patient factors• guideline factors• environmental factors
Adapted from Cabana MD, et al. Why don’t physicians follow clinical practice guidelines? a framework for improvement. JAMA 1999.
Barriers to Adherence to Asthma Management Guidelines among Primary Care Providers
ICS0
40
80
Prov
ider
Adh
eren
ce (%
)
Peak Flow Monitoring
20
60
100
Action Plan
Allergy Testing
Influenza Vaccination
Primary Care Provider Adherence to NHLBI Asthma Guideline Recommendations
Multivariate Predictors of Adherence to the NHLBI Guideline Components
Barrier
Familiarity
Expect Patient Adherence
Self-Efficacy
Insufficient Time
OR
1.4
1.2
2.8
0.43
P-value
0.34
0.87
0.03
0.07
OR
1.1
3.3
2.3
0.68
P-value
0.75
0.03
0.05
0.25
ICS Use PF Monitoring
Multivariate Predictors of Adherence to the NHLBI Guideline Components
Barrier
Familiarity
Expect Patient Adherence
Self-Efficacy
Insufficient Time
OR
1.8
1.0
4.9
1.3
P-value
0.31
0.99
0.03
0.62
Action PlanOR
5.5
-
1.3
0.6
P-value
0.02
-
0.46
0.46
All TestingOR
2.0
3.5
3.5
1.2
P-value
0.05
0.01
0.05
0.83
Vaccination
Limitations
May not be generalizable to other inner-city populations
Used self-reported measures of adherence
Unable to directly observe patient-provider encounters
Used self-reported data on provider adherence to the guidelines
Conclusions Outcomes of inner-city asthmatics remain poor
Problem appears to be multifactorial
Suboptimal disease and medication beliefs are associated with poor asthma self-management
Language barriers may also explain the increased levels of asthma morbidity among inner-city Hispanics
The role of allergic sensitization appears to be more important among children than adults with asthma
Familiarity and adherence to key treatment recommendations remains suboptimal amongst providers who take care of a large number of inner-city asthmatics
AcknowledgmentsDepartment of Medicine
Ethan A. Halm, MD, MPH Stephen Berns, MDThomas McGinn, MD, MPH Jessica Lorenzo, MPHMichael Iannuzzi, MD Julian BaezDiego Ponieman, MD Jessica Segni
Department of PediatricsHugh Sampson, MD Michelle Mishoe
Department of Geriatrics
Albert Siu, MD, MSPH
Rutgers University
Tamara Musumeci, PhD Howard Leventhal, PhD
Columbia UniversityDavid Evans, PhD Mayer Kattan, MD
These studies were funded by AHRQ and NYC Department of Health