Childhood Asthma in an Urban Community

Childhood Asthma in an Urban Community

Childhood Asthma in an Urban Community* Prevalence, Care System, and Treatment Michelle M. Cloutier, MD; Dorothy B. Wakefield, MS; Charles B. Hall, Ph...

154KB Sizes 0 Downloads 140 Views

Childhood Asthma in an Urban Community* Prevalence, Care System, and Treatment Michelle M. Cloutier, MD; Dorothy B. Wakefield, MS; Charles B. Hall, PhD; and Howard L. Bailit, DMD, PhD

Objectives: We describe the system of asthma care in Hartford, CT, an urban, minority community. Methods: The health field concept was used to organize factors influencing asthma prevalence and severity. Data were obtained from national, state, and municipal reports, and from surveys of children in Hartford seeking medical care in an asthma program called Easy Breathing. Results: Between June 1, 1998, and May 1, 2000, 21% of children receiving Medicaid in Hartford did not file a medical claim. Between 1998 and 2000, the number of providers in Hartford decreased by 37% while the number of outpatient visits increased by 8%. Using claims data, we found the following: 19.0% of Hartford children had asthma (data from the International Classification of Disease, ninth revision, and the National Drug Code); and 12% of children with asthma filled a prescription for inhaled corticosteroid therapy, 83% for a bronchodilator, and 36% for an oral corticosteroid. Children with asthma were more likely to be hospitalized (10% vs 5%, respectively) and to visit an emergency department (45% vs 29%, respectively), and, on average, they had more hospital days (0.603 vs 0.415 days per child, respectively) and more outpatient visits per year (4.7 vs 2.5 visits, respectively) compared to children without asthma. Asthma prevalence in the 6,643 children surveyed in the Easy Breathing program was 41%. Persistent asthma was diagnosed in 50% of the children with asthma. Asthma prevalence varied by ethnic origin, age, and gender, and was highest in Hispanic/Puerto Rican children, in children 5 to 10 years of age, in boys up to 10 years of age, and in girls after 15 years of age. Conclusion: Improved personal behaviors and medical care will have a limited sustained impact on childhood asthma until basic environmental issues are modified. The health field concept provides a mechanism with which to address the issues surrounding asthma in urban communities. (CHEST 2002; 122:1571–1579) Key words: asthma severity; health-care utilization; minority population Abbreviations: ED ⫽ emergency department; FTE ⫽ full-time equivalent; S-CHIP ⫽ State Children’s Health Insurance Plan

is the most common chronic disease of A sthma children in the United States. Almost 6 million 1,2

children in the United States have asthma compared to 3.1 million in 1984, an increase of 80%. Annually, asthma accounts for 12 million primary care visits, 1.6 million emergency department (ED) visits, *From the Department of Pediatrics (Dr. Cloutier), Pulmonary Division, and the Department of Community Medicine and Health Care (Ms. Wakefield and Drs. Hall and Bailit), University of Connecticut Health Center, Hartford, CT. This research was supported by a grant from The Patrick and Catherine Weldon Donaghue Medical Research Foundation. Manuscript received December 3, 2001; revision accepted May 16, 2002. Correspondence to: Michelle M. Cloutier, MD, Asthma Center, Connecticut Children’s Medical Center, 282 Washington St, Hartford, CT 06106; e-mail: [email protected] www.chestjournal.org

11 million missed school days, 200,000 hospital admissions, and 150 pediatric deaths.3 Asthma disproportionately affects urban children. Asthma prevalence varies between 1.6% and 36.8%, with higher prevalence rates in minority, urban, low socioeconomic status populations4 –9 and results in increased ED visits, hospital days, and mortality rates.10 In 1998, the direct costs of providing care to children with asthma were ⬎ $6.2 billion, and the indirect costs were $1 billion, which is a 30% increase since 1985.11 Seventy-five percent of medical resources are consumed by 20% of the people with asthma.12 Reducing asthma morbidity is a national health-care objective.13 Community factors and personal health behaviors associated with asthma prevalence and morbidity CHEST / 122 / 5 / NOVEMBER, 2002

1571

include low socioeconomic status, environmental tobacco smoke exposure, poorly maintained housing, and indoor and outdoor allergens, including cockroach and rodent infestation.14 –17 Health-care delivery factors that are responsible for high asthma morbidity and mortality include inadequate availability and access to health care, and language and cultural barriers.18 Major provider problems include the failure to diagnose asthma and the underprescribing of inhaled and oral corticosteroid therapy.19 –21 In this article, we take a broad public health perspective of childhood asthma and its impact in Hartford, Connecticut, a medium size, low-income city in the northeast United States with a predominantly minority population. We use the “health field concept” of Green and Ottoson22 to organize the multiple factors that influence the prevalence and severity of asthma in the community. Green and Ottoson22 identified the following four categories of factors that determine the health of populations: environment; human biology (ie, genetics); personal behavior; and health-care organization. They noted that a full understanding of these four dimensions is necessary to effectively prevent and treat a disease. With this background of descriptive information, we discuss the implementation of a community-specific asthma intervention program. This program, called Easy Breathing, began in 1998 and continues in full operation.

Materials and Methods Disease Prevalence and Severity Asthma prevalence and severity were estimated from surveys of children seeking medical care in Hartford clinics. The surveys were completed as part of the Easy Breathing program and took place from June 1, 1998, to May 1, 2000. Easy Breathing is an asthma-management program for primary care providers who care for children who reside or receive their medical care in the city of Hartford. The program was specifically designed for busy primary care providers who work in clinic settings with a high volume of patients. The overall goals of the program are to improve asthma diagnosis and treatment by primary care providers and to reduce the burden of asthma in an urban pediatric population. Entry into the program begins with a self-reported survey (the Easy Breathing Survey). The survey instrument was adapted (tested for reliability and validity in children23) from the International Union Against Tuberculosis and Lung Disease Bronchial Symptom Questionnaire.24 All six primary care clinics in the city screened children (age range, 6 months to 18 years) for asthma regardless of their insurance coverage, residence, or chief complaint using the Easy Breathing Survey. Clinic health-care providers diagnosed asthma in children or confirmed a diagnosis of asthma using patient responses to the survey questions, reviews of the medical record, and additional history and testing. The criteria used to diagnose asthma were described previously23 and included recurrent episodes (ie, more than two episodes) of 1572

symptoms in response to known triggers and the exclusion of other diseases. Frequently, the response to asthma therapy also was considered in the diagnosis of asthma. Rarely, pulmonary function data were used to assist in the diagnosis. For children who received a diagnosis of asthma, asthma severity was determined using a separate written instrument that was modeled after the 1997 National Asthma Education and Prevention Program report.25 Asthma severity was based on the frequency of daytime and nocturnal symptoms, the degree of exercise impairment, the frequency of as-needed inhaled bronchodilator therapy, and the effect of symptoms on lifestyle and school attendance. For each child with asthma, a comprehensive management plan consisting of medications for daily use, use when sick, and emergency use was developed with a severity-specific treatment selection guide. Each medication from the treatment selection guide was matched to a color-coded (by severity) tear-away label. The labels were placed on a standardized written Asthma Treatment Plan that was especially designed for the population being served and was given to each family. Thirty-one physicians, 28 mid-level practitioners (ie, advancedpractice nurses, pediatric nurse practitioners, and physician assistants), 46 nurses (ie, registered nurses and licensed practical nurses), pediatric and family practice residents, and medical students were trained to screen for asthma and to determine asthma severity. The educational program consisted of 90 min of training on how to implement the project and 2.5 h of training about asthma and asthma therapy. Health Field Concept Environment: Demographic and other data on Hartford came from national, state, and municipal reports (ie, the City of Hartford Health Department, the Connecticut State Health Department, and the 2000 US census). Information on community groups concerned with pediatric asthma was obtained from the City of Hartford Health Department. Human Biology: The health field concept defines human biological factors in terms of the genetic determinants of disease. Since the relationship between genetics and asthma is complex and beyond the scope of this report, the only genetically relevant data collected concerned the family history of asthma. Personal Behaviors: The parents and caretakers of children who were enrolled in the study completed a 13-question, pretested survey instrument on personal behaviors that are related to asthma. These behaviors and related living-arrangement decisions include smoking, exposure to cockroaches, dust, rodents, pets, the presence of a gas stove, and details of the child’s sleeping environment (eg, carpet and mattress cover). Information also was obtained on the type of housing and the length of time the children had lived in the house. Health-Care Organization: Data on the Hartford health-care system, including payers, payment methods, providers, and facilities, came from publicly available reports from the State of Connecticut and the City of Hartford. Utilization data were available for children who were covered by Medicaid and the State Children’s Health Insurance Programs (S-CHIP). Approximately 84% of Hartford children were enrolled in these two programs at the time of baseline data collection. Claims data were obtained for a 12-month period prior to the implementation of the Easy Breathing program (ie, July 1, 1997, to June 30, 1998). Six months elapsed between the date of the last claim and the creation of the claim files to account for claim lag. Utilization rates for pharmaceuticals were obtained from the National Drug Code, and those for ED visits, outpatient visits, and hospital days were obtained from codes from the Clinical Investigations

International Classification of Disease, ninth revision, and the Current Procedural Terminology-4. The institutional review board at the University of Connecticut Health Center approved the Easy Breathing program.

Results Asthma Prevalence and Severity Between June 1, 1998, and May 1, 2000, 6,643 children were screened for asthma in the Easy Breathing program. This sample consisted of children who presented for care for any reason at any of the six primary care clinics used in the study. Smaller clinics surveyed a proportionately higher percentage of their Medicaid population than did larger clinics (90% vs 32%, respectively). The age and ethnicity of the surveyed children are shown in Table 1. Of the 6,643 children surveyed (32% of the 20,632 children with medical claims), 2,225 (33.5%) reported a previous diagnosis of asthma that was physician-confirmed. For 499 children (18% of the 2,724 children with asthma or 7.5% of the 6,643 children screened), a new diagnosis of asthma was made. The overall asthma prevalence in this group of Medicaid children who had submitted claims was 41% (2,724 of 6,643 children). This represents the prevalence of asthma in children seeking medical care and not the prevalence of asthma in the community. This prevalence, however, has not changed since the program began. If this is a representative sample of children and if this prevalence rate is applied to the 31,082 total Medicaid-eligible children in Hartford, as many as 12,744 children who were enrolled in Medicaid in Hartford have asthma. The age and ethnic distribution of the children with asthma are shown in Table 1. Hispanic/Puerto

Table 1—Characteristics of Children Surveyed in the Easy Breathing Program* Characteristics Ethnicity Hispanic/Puerto Rican African American White Other Age 0.5–5 yr 5–10 yr 10–15 yr 15–18 yr Gender Female Male

Children Surveyed

Children with Asthma

3,871 (58.3) 1,664 (25.0) 162 (2.4) 946 (14.3)

1,883 (48.6) 583 (35.0) 45 (27.8) 194 (20.5)

2,471 (37.2) 1,889 (28.4) 1,607 (24.2) 676 (10.2)

928 (37.6) 833 (44.1) 687 (42.8) 257 (38.0)

3,221 (48.5) 3,422 (51.5)

1,193 (37.0) 1,529 (44.7)

*Values given as No. (% of total). Numbers do not add up to totals due to a small amount of missing data. www.chestjournal.org

Rican children had the highest asthma prevalence (48.6%) followed by African-American children (35%). Children with asthma were more likely to be ⬍ 5 years of age (34%) or between 5 and 10 years of age (31%). The age distribution of children with asthma did not vary by ethnicity. The prevalence of asthma in boys was higher (45%) than that in girls (37%), however, the higher prevalence of boys at ⬍ 5 years of age disappeared between 10 and 15 years of age and was reversed at 15 to 18 years of age (p ⬍ 0.0001) [Fig 1]. Asthma severity by ethnicity is shown in Figure 2. Overall, mild intermittent asthma was diagnosed in 50% of the children, mild persistent asthma was diagnosed in 30%, moderate persistent asthma was diagnosed in 18%, and severe persistent asthma was diagnosed in 2%). Asthma severity was greater in Hispanic/Puerto Rican children than in AfricanAmerican children. Multivariate log-linear models showed that African-American children were 55% less likely to have moderate persistent asthma (p ⬍ 0.001), and were 50% less likely to have severe persistent asthma (p ⬍ 0.05) than were Hispanic/ Puerto Rican children after controlling for age. In addition, children aged 5 to 10 years and 10 to 15 years of any ethnicity were more likely to have severe persistent asthma than were children of other age groups (p ⫽ 0.02 and p ⫽ 0.03, respectively). Otherwise, there were no differences in the distribution of severity across age groups. Health Field Concept Environment: Hartford is a city 17 square miles in size that is located in central Connecticut where two major interstate highways intersect. Hartford is the fourth poorest medium-sized (121,578 residents) city in the United States and is the poorest city in Connecticut. In 1990, the median family income in Hartford was $24,744 compared with $49,199 for the state of Connecticut and $37,950 for the nation. Per capita income fell from $16,821 in 1995 to $13,271 in 1998. Fifty-four percent of the children in Hartford live below the poverty level. With the highest percentage of public housing of any city its size in the country, the housing stock in Hartford is old (91% of the housing stock was built before 1980) and is poorly maintained (the typical house was last painted inside in 1950). Hartford has 36,568 children who are ⬍ 18 years of age (from the 2000 US census). Forty-six percent of children are Hispanic, primarily of Puerto Rican ethnicity, 38% are African American, 13% are white and non-Hispanic, and 3% are from other ethnic groups (primarily Asian/Pacific Islanders and Caribbean/Virgin Islanders). CHEST / 122 / 5 / NOVEMBER, 2002

1573

Figure 1. The distribution of asthma by gender and age. Asthma prevalence decreased with increasing age. The prevalence of asthma in boys (black bars) was greater than the prevalence in girls (white bars) in all ages for children ⬍ 10 years of age. There was no difference in asthma prevalence in children 10 to 15 years old. In contrast, asthma prevalence was higher in girls than in boys among adolescents who were between 15 and 18 years of age.

The City of Hartford Health Department has a full-time director and staff. A 1997 survey of the perceived needs of the adult population, which was conducted by the Health Department, identified asthma as a major health problem and resulted in a city-initiated “Asthma Call to Action.” More recently, in 1999 a Hartford Pediatric Asthma Coalition, which is composed of 25 individuals from 25 different groups who were interested in childhood asthma, was formed to specifically address the needs of children with asthma.

Human Biology: Eighty-two percent of the families reported a positive family history of asthma. Of the children with a positive family history of asthma, a maternal history of asthma was present in 40% of the children and a paternal history of asthma was present in 21% of the children. The most common history was of a sibling with asthma (46%). There was no difference in the frequency of a positive family history of asthma for children with new diagnoses compared to children who had previously received diagnoses of asthma.

Personal Behaviors: Children with asthma were more likely to report exposure to tobacco smoke, dust, solvents, cockroaches, and rodents than were children who did not have asthma (Table 2). Trend tests demonstrated a strong association between asthma of increasing severity and a reported exposure to dust and cockroaches (p ⬍ 0.0001). Smaller but significant associations also were found between exposure to solvents and rodents and increasing severity of asthma. Exposure to birds was not associated with asthma prevalence but was weakly related to increasing asthma severity (p ⬍ 0.01). There were no associations of disease prevalence or severity with reported pet exposure, the presence of a gas stove, or sleeping arrangements.

Health-care Organization: In 1998, outpatient medical care for the children of Hartford was provided by 41 physicians (full-time equivalents [FTEs], 34.5 physicians) and 28 mid-level practitioners (FTEs, 23.5 practitioners) in six community-based, primary care clinics, seven school-based clinics, and four private practices. In addition, there were 63 pediatric and family practice residents in training at four of the six clinics. The clinics varied in the size of their Medicaid population from 550 to 8,150 children. Over the next 18 months, there was a 37% decrease in the number of providers in Hartford. The number of FTEs decreased to 24 for physicians and 12.5 for mid-level practitioners. Over this same

1574

Clinical Investigations

Figure 2. Asthma severity by ethnicity. The percentage of children with asthma of each severity is shown for Hispanic/Puerto Rican children, for African-American children, and for children of other ethnic origins. Asthma severity is higher in Hispanic children than in African-American children. Other ethnic groups include non-Hispanic white, Asian, Caribbean, and other ethnicities.

period, there was an increase from 34,044 to 57,713 visits per year for Medicaid children. Emergency care is provided by two EDs. One is located at the Connecticut Children’s Medical Center, and the other is located at St. Francis Hospital and Medical Center. These two centers also provide the only inpatient care for children in the city, with 85 and 16 pediatric beds, respectively (excluding neonatal and ICU beds). Specialty referrals for Medicaid children are to a pediatric pulmonary specialist group and three allergy groups. All Medicaid or S-CHIP children are enrolled in one of four managed care plans. In Hartford, Anthem Blue Cross/Blue Shield covers about 85% of the children. Anthem has different financial arrangements with the six participating clinics. For the two

Table 2—Self-Reported Environmental Exposures* Exposures

OR (95% CI)

Pets at home Cockroaches Tobacco smoke Solvents Dust Rodents

1.19 (1.02–1.39) 2.34 (2.05–2.68) 2.74 (2.55–2.95) 2.60 (1.94–3.49) 2.02 (1.8–2.27) 2.23 (1.85–2.69)

*OR ⫽ odds ratio; CI ⫽ confidence interval. www.chestjournal.org

large hospital clinics, Anthem has passed on the financial risk for caring for enrolled children, based on negotiated global capitation rates. Anthem reimburses the four small independent clinics on a fee-for-service basis, based on negotiated fees. All school-based clinics are considered to be essential community providers and are reimbursed on a feefor-service basis. Information on the Anthem capitation rates and fees with each provider organization was not available. The other three managed care plans in the area reimburse providers on a feefor-service basis. In the year prior to implementing the Easy Breathing program (ie, July 1, 1997, to June 30, 1998), 31,610 children (84%) in Hartford were Medicaid-eligible, and 70% of these children were eligible for at least 10 months. Twenty thousand six hundred thirty-two children (65%) had submitted at least one Medicaid claim, and 4,626 children (19%) had either submitted an asthma claim or had had an asthma medication prescription filled during this period. Twelve percent of the 20,632 children with claims only had pharmacy or laboratory charges during this period, and 11% had missing provider information. Of the remaining 15,886 children, 11,120 (70%) were seen at one of the Easy Breathing sites. The rest were seen by private pracCHEST / 122 / 5 / NOVEMBER, 2002

1575

titioners (4%), by providers outside of the city (14%), or by school-based clinics (1.5%), and 10.5% of the children with claims only saw a specialist during this time period. The rates of ED visits, hospital days, and outpatient visits in this same period are shown in Table 3 for the 20,632 children with and without a claimbased diagnosis of asthma. Thirty-seven percent of the 4,174 children with asthma had made an ED visit. The records of 16% of these visits listed asthma as the primary diagnosis. Of the children with asthma, 8.5% were hospitalized at least once in 12 months, and the average number of hospital days per child was 0.447. The average number of outpatient visits per child with asthma was 2.36. Compared to the 16,458 children with a medical claim who did not have asthma, those with asthma had significantly more ED visits, hospital days, and outpatient visits. Sixty-five percent of the 4,174 children with asthma had filled a prescription for a bronchodilator during this time. Only 8.8% of children had filled a prescription for an inhaled corticosteroid, 9% for an inhaled nonsteroidal anti-inflammatory drug, and 36% for an oral steroid. The ratio of inhaled antiinflammatory to ␤-agonist medication was 0.27. Discussion Prevalence and Severity The 41% asthma rate that we report is not the prevalence of asthma in Hartford. While the 6,643 children screened are representative of Hartford children in terms of ethnicity, age, and city neighborhoods (data not shown), they are not representative in terms of illness since they were seeking medical care when enrolled in the program. Access to medical care has been shown to increase the estimates of asthma prevalence.7 This high prevalence reflects the sampling bias from only screening children seeking care, from the probable increased screening of children with asthma, and from the

Table 3—Medical Services Utilization for Medicaid Children With and Without Asthma (July 1, 1997, to June 30, 1998)

Hospitalizations, % Average hospital stay, d ED/urgent care visits, % Outpatient visits per year, No.

With Asthma

Without Asthma

p Value*

8.5 0.447 37 2.36

5.7 0.294 24 1.47

⬍0.001 ⬍0.05 ⬍0.001 ⬍0.001

*p Values were calculated testing hypotheses that the number of children with asthma was greater than those without asthma (for each variable above). 1576

addition of children with previously unrecognized asthma. As a result, our estimates of disease prevalence and severity by the screened children are higher than the “true” community average. These rates are, however, indicative of the enormous burden of asthma on providers in urban clinics. Tested survey instruments with scripted sets of questions were used to diagnose asthma and to determine asthma severity. The diagnosis was made using clinical criteria because no single “gold standard” diagnostic test for asthma exists. In a pilot study of the survey instrument, the presence of asthma, asthma severity, and abnormalities in pulmonary function23 were strongly correlated. In addition, the survey instrument was adapted from the International Union Against Tuberculosis and Lung Disease bronchial symptom questionnaire, which has a strong relationship with histamine hyperresponsiveness, a hallmark of asthma in adults.24 Interestingly, the estimate of asthma prevalence based on medical and drug claims was only 19%. Since children with mild intermittent asthma are probably less likely to have medical and drug claims for asthma, the 19%, which is a percentage similar to that (20.5%) of children with persistent asthma using the Easy Breathing program, most likely represents children with persistent asthma. The large number of children with mild intermittent asthma also may have skewed the ratio of anti-inflammatory drug to bronchodilator prescriptions. This ratio has been shown26 to be inversely related to the rate of hospital admissions. Eighteen percent of the children with asthma, or 7.5% of the screened group, were newly diagnosed with asthma. This demonstrates the continued under-reporting of asthma symptoms by patients and the under-diagnosis by providers. Most of the newly diagnosed children had mild intermittent asthma, although a third had persistent disease and, according to guidelines, would benefit from daily antiinflammatory therapy. This is the first study to report asthma severity in a large inner-city population using the severity categories proposed in the National Asthma Education and Prevention Program Expert Panel Report.25 Asthma severity was higher in Hispanic children than in African-American children. Yet, asthma mortality is known to be higher in African-Americans than in whites and Hispanics.27 The reasons for the disparity between severity and mortality risk are not known. Similar to the results of other studies, asthma was more prevalent in boys than in girls,28,29 with a change in prevalence that began in late childhood and early adolescence.28 –30 This observation is compatible with the decrease in asthma symptoms in Clinical Investigations

adolescent boys and with the increase in asthma symptoms at puberty in young women.31 Health Field Concept Asthma is a major public health problem for urban communities such as Hartford. We used the health field concept proposed by Green and Ottoson22 to identify and organize the multiple factors that influence the prevalence and severity of asthma, and to assess the relative importance of these factors. By using such a model, it is our goal not only to focus on the few variables that are relatively easy to measure, but also to identify all of the factors that affect asthma and asthma management in the community. In this regard, the physical, economic, and social environments in Hartford are major factors that are responsible for the high prevalence of childhood asthma. Hartford has marked poverty, old, poorly repaired housing stock, high rates of infant mortality and premature births, and significant cockroach and rodent infestations (data from the Connecticut State Department of Health). Of great concern, during a period of unprecedented growth of the national and state economy, the average family income of Hartford residents declined by 21%. Increased poverty, in association with urban living, will undoubtedly contribute to a continued rise in asthma prevalence as the physical and social environments decline. Most public health, medical, and community programs, including this one, have focused primarily on medical management and access to medical care. Until state and federal governments address these basic environmental issues, the impact of improved personal behaviors and medical care are likely to have a limited sustained impact on childhood asthma. The personal behaviors of parents or caretakers are another important determinant of asthma prevalence and severity. In inner-city and other populations, there is a strong interaction between some personal behaviors and the environment. Thus, it is much more difficult to control for cockroaches and dust living in old, decaying housing. These environmental factors need to be considered in assessing the role of personal behaviors in childhood asthma. Children with asthma were almost twice as likely to be exposed to tobacco smoke as were children without asthma. Cigarette smoking is associated with the increased prevalence of self-reported asthma in the United States.32 Dust exposure and a history of cockroach and rodent infestations were also more common in children with asthma than in children without asthma.17,33,34 Exposures to dust, cockroaches, and, to a lesser extent, solvents and rodents, also were associated with increasing asthma severity. www.chestjournal.org

High exposures rates to cockroaches are present in urban communities and high rates of sensitization to cockroaches have been demonstrated in people with asthma.35,36 Self-reported exposures, however, may not be completely reliable.34 In addition, some of the association may reflect an increased awareness of environmental triggers for asthma with increasing asthma severity. Allergy testing and environmental sampling is underway for these children. Preliminary results suggest a high frequency of dust mite sensitization, irrespective of asthma severity, and associations among cockroaches, mold sensitization, and increasing asthma severity.37 Pets were common in the homes both of children with asthma and of those without asthma. In urban settings, pets serve a number of functions including protection (dogs) and a reduction in rodents and cockroaches (cats). The latter may be an important factor for why cat exposure does not correlate with asthma in inner-city populations. Information about personal behaviors will help to direct programs that will have the greatest impact on asthma in the community. A high percentage of families reported a family history of asthma. Siblings with asthma were the single largest group, followed by a maternal history of asthma. Although all major outpatient delivery sites in Hartford participated in the screening system, only one third of the 20,632 children submitting a Medicaid claim were screened in this 23-month period. In part, this was because only 70% of the children received their medical care in one of the participating clinics. A more important factor, however, is that the two large hospital-based clinics screened only about 30% of the eligible children seen in their facility. The ability of these clinics to screen children was related to the marked increase in outpatient visits and the significant decrease in providers as these institutions struggled with financial problems. The low screening rates also may have resulted from the size and complexity of patient care operations in these large, urban, hospital-based clinics. In contrast, the smaller clinics did an outstanding job, surveying ⬎ 90% of the eligible children. To increase screening rates in the larger clinics, dedicated screening providers may be required. The cost-effectiveness of dedicated screeners needs to be investigated. Fifty percent of the children with asthma had persistent asthma and would benefit from daily antiinflammatory therapy. However, before implementation of the Easy Breathing program, only 17.8% of children were prescribed any anti-inflammatory therapy, and only half of those children were prescribed inhaled corticosteroid therapy, which is the first-line therapy for persistent asthma. Thirty-six percent of the CHEST / 122 / 5 / NOVEMBER, 2002

1577

children filled a prescription for an oral corticosteroid, suggesting aggressive acute asthma management and ready health-care access, which undoubtedly are important factors in asthma mortality. Despite the high prevalence, no child has died from asthma in Hartford in the past 10 years. The impact of asthma on the utilization of EDs, hospital beds, and outpatient visits, was substantial compared to children without asthma. If the Easy Breathing program is successful in reducing the number of bed days by 10%, we estimate that approximately $440,000 would be saved annually. This is more than enough to cover the costs of running an organized asthma screening and treatment program in all Hartford ambulatory medical facilities and includes the cost of provider screeners in the two large hospital clinics. The asthma care system in Hartford is almost entirely financed through the Medicaid and S-CHIP programs. In 1998, 84% of Hartford children were enrolled in the Medicaid program. Since then, the enrollment of near-poor children in the S-CHIP program has expanded the financial access to medical care to almost all children. Hartford may be one of the few cities in the United States that has almost universal medical coverage for children. While this may reduce financial access barriers for families, the level of reimbursement may be inadequate for the extent of medical and social services needed by these families. Undoubtedly, this contributes to the lack of a private sector medical system in Hartford and to the understaffing of hospital clinics. ACKNOWLEDGMENTS: We would like to thank the providers and office staff of Asylum Hill Family Practice Center, Burgdorf/ Fleet Health Center, Community Health Services, Family Health Center, St. Francis Hospital/Pediatrics Ambulatory Care, and Connecticut Children’s Medical Center/Primary Care Center for their willingness to participate in Easy Breathing. Special thanks to Karen L. Daigle, MD, and Craig D. Lapin, MD, for their work with the Easy Breathing sites, and to Ms. Dorothy Alegria and Ms. Krissy Deslandes for administrative support.

References 1 Gergen PJ, Mullally DI, Evans R. National survey of prevalence of asthma among children in the United States 1976 to 1980. Pediatrics 1988; 81:1–7 2 Taylor WR, Newacheck PW. Impact of childhood asthma on health. Pediatrics 1992; 90:657– 662 3 Centers for Disease Control and Prevention. Asthma mortality and hospitalization among children and young adults 1980 –1993. MMWR Morb Mortal Wkly Rep 1996; 45:350 –353 4 Christiansen SC, Martin SB, Schleicher NC, et al. Current prevalence of asthma-related symptoms in San Diego’s predominantly Hispanic inner city children. J Asthma 1996; 33:17–26 5 Carter-Pokras OD, Gergen PJ. Reported asthma among Puerto Rican, Mexican-American, and Cuban-American children 1982–1984. Am J Public Health 1993; 83:580 –582 1578

6 International Study of Asthma and Allergies in Childhood (ISAAC) Steering Committee. Worldwide variation in prevalence of symptoms of asthma, allergic rhino conjunctivitis and atopic eczema. Lancet 1998; 351:1225–1232 7 Aligne CA, Auinger P, Byrd RS, et al. Risk factors for pediatric asthma: contributions of poverty, race, and urban residence. Am J Respir Crit Care Med 2000; 162:873– 877 8 Persky VW, Slezak J, Contreras A, et al. Relationships of race and socioeconomic status with prevalence, severity, and symptoms of asthma in Chicago school children. Ann Allergy Asthma Immunol 1998; 81:266 –271 9 Evans R III. Prevalence, morbidity and mortality of asthma in the inner city. Pediatr Asthma Allergy Immunol 1994; 8:171– 177 10 Carr W, Zeitel L, Weiss S. Variations in asthma hospitalizations and deaths in New York City. Am J Public Health 1992; 82:59 – 65 11 Weiss KB, Gergen PJ, Hodgson TA. An economic evaluation of asthma in the United States. N Engl J Med 1992; 326:862– 866 12 Smith DH, Malone DC, Lawson KA, et al. A national estimate of the economic costs of asthma. Am J Respir Crit Care Med 1997; 156:787–793 13 US Dept of Health and Human Service. Healthy People 2000: national health promotion and disease objectives. Public Health Service Publication No. 91–50212. Washington, DC: US Government Printing Office, 1990; 317 14 Rose R, Weiss KB. The impact of poverty on asthma. Pediatr Asthma Allergy Immunol 1994; 8:157–164 15 Eggleston PA. Indoor allergens associated with asthma morbidity. Pediatr Asthma Allergy Immunol 1994; 8:167–170 16 Jenkins MA, Hooper JL, Bowes G, et al. Factors in childhood as predictors of asthma in adult life. BMJ 1994; 309:95–96 17 Ehrlich RI, Toit DD, Jordaan E, et al. Risk factors for childhood asthma and wheezing. Am J Respir Crit Care Med 1996; 154:681– 688 18 Mansour ME, Lamphear BP, DeWitt TG. Barriers to care in urban children: parent perspectives. Pediatrics 2000; 106: 512–519 19 Goodman DC, Lozano P, Stukel TA, et al. Has asthma medication use in children become more frequent, more appropriate, or both? Pediatrics 1999; 104:187–194 20 Finkelstein JA, Lozano P, Shulruff R, et al. Self-reported physician practices for children with asthma: are national guidelines followed? Pediatrics 2000; 106:886 – 896 21 Cabana MD, Rand CS, Powe NR, et al. Why don’t physicians follow clinical practice guidelines? JAMA 1999; 282:1458 – 1465 22 Green LW, Ottoson JM. Community and population health. New York, NY: McGraw-Hill, 1996 23 Hall CB, Wakefield D, Rowe TM, et al. Diagnosing pediatric asthma: validating the easy breathing survey. J Pediatr 2001; 139:267–272 24 Burney PGJ, Chinn S, Britton JR, et al. What symptoms predict the bronchial response to histamine? Evaluation in a community survey of the Bronchial Symptoms Questionnaire (1984) of the International Union Against Tuberculosis and Lung Disease (IUATL). Int J Epidemiol 1989; 18:165–173 25 US Dept of Health and Human Services. Guidelines for the diagnosis, and management of asthma. Publication No. 91– 3042. Washington, DC: US Government Printing Office, 1991 26 Gottlieb DJ, Beiser AS, O’Connor GT. Poverty, race, and medication use are correlates of asthma hospitalization rates: a small area analysis in Boston. Chest 1995; 108:28 –35 27 Ledogar RJ, Penchaszadeh A, Garden CCI, et al. Asthma, and Latino cultures: different prevalence reported among groups Clinical Investigations

28 29 30 31 32

sharing the same environment. Am J Public Health 2000; 90:929 –935 Weiss KB, Wagener DK. Changing patterns of asthma mortality: identifying target populations at high risk. JAMA 1990; 264:1683–1687 Dodge RR, Burrows B. The prevalence and incidence of asthma and asthma-like symptoms in a general population sample. Am Rev Respir Dis 1980; 122:567–575 McConnochie KM, Russo MJ, McBride JT, et al. Socioeconomic variation in asthma hospitalization: excess utilization or greater need? Pediatrics 1999; 103:e1– e8 Osborne ML, Vollmer WM, Linton KLP, et al. Characteristics of patients with asthma within a large HMO. Am J Respir Crit Care Med 1998; 157:123–128 Turkeltaub PC, Jergen PJ. Prevalence of upper and lower respiratory conditions in the US population by social and environmental factors: data from the second National Health and Nutrition Examination Survey, 1976 –1980 (NHANES II). Ann Allergy 1991; 67:147–154

www.chestjournal.org

33 Gold DR, Burge HA, Carey V, et al. Predictors of repeated wheeze in the first year of life; the relative roles of cockroach, birth weight, acute lower respiratory illness and maternal smoking. Am J Respir Crit Care Med 1999; 160:227–236 34 Chew GH, Burge HA, Dockery DW, et al. Limitations of home characteristics questionnaire as a predictor of indoor allergen levels. Am J Respir Crit Care Med 1998; 157:1536 – 1541 35 Rosenstreich DL, Eggleston P, Kattan M, et al. The role of cockroach allergy and exposure to cockroach allergen in causing morbidity among inner-city children with asthma. N Engl J Med 1997; 336:1356 –1363 36 Chapman MD. Dissecting coackroach allergens. Clin Exp Allergy 1993; 23:459 – 461 37 Quirk CA, Cloutier MM, Carlisle PS, et al. Positive allergy skin tests and increasing asthma severity [abstract]. Am J Respir Crit Care Med 2000; 161:A610

CHEST / 122 / 5 / NOVEMBER, 2002

1579