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NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2010 Jan 1.
Published in final edited form as: J Allergy Clin Immunol. 2009 Jan;123(1):153–159.e3. doi: 10.1016/j.jaci.2008.10.057

Improving asthma self-efficacy: Developing and testing a pilot community-based asthma intervention for African American adults

Molly A Martin 1, Catherine D Catrambone 2, Romina A Kee 3, Arthur T Evans 4, Lisa K Sharp 5, Christopher Lyttle 6, Cheryl Rucker-Whitaker 7, Kevin B Weiss 8, John Jay Shannon 9; The CHIRAH investigative team
PMCID: PMC2675162  NIHMSID: NIHMS101791  PMID: 19130936

Abstract

Background

Low-income African American adults in Chicago have disproportionately high asthma morbidity and mortality rates. Interventions that improve asthma self-efficacy for appropriate self-management behaviors may ultimately improve asthma control in this population.

Objective

To pilot test an intervention to improve asthma self-efficacy for appropriate self-management behaviors.

Methods

Participants for this trial were recruited through two primary care clinics located in the largest African American community in Chicago. Participants were then randomized into two groups. The control group received mailed asthma education. The intervention group was offered 4 group sessions lead by a community social worker and 6 home visits by community health workers. Telephone interviews were conducted at baseline (pre-intervention), 3 months (post-intervention), and 6 months (maintenance).

Results

The 42 participants were predominantly African American, low income, and had poorly controlled persistent asthma. The intervention group had significantly higher asthma self-efficacy at 3 months (p<0.001) after the completion of the intervention. Asthma action plans were more common in the intervention group at 3 months (p=0.06). At 6 months, the intervention group had improved asthma quality of life (p=0.002), and improved coping (p=0.01) compared to controls. Trends in behavioral and clinical outcomes favored the intervention group but were not statistically significant.

Conclusions

This community-based asthma intervention improved asthma self-efficacy, self-perceived coping skills, and asthma quality of life for low income African American adults. Larger trials are needed to test the efficacy of this intervention to reduce asthma morbidity in similar high-risk populations.

Keywords: Adult asthma, Asthma self-efficacy, Behavioral randomized controlled trial, African-American, Low income, Community Health Worker

Introduction

Asthma is a common and costly disease which disproportionately affects African Americans. In Chicago, the problem has reached epidemic proportions with prevalence, morbidity, and mortality rates significantly higher than the national average, especially for minorities.1-4 A recent assessment of health care utilization data in Chicago from 1992-2004 showed little improvement in these disparities over the past decade.4 African American residents of Chicago are nearly eight times more likely to die from asthma than White residents and asthma hospitalization rates in African American neighborhoods from 1992-2001 remained more than three times higher than in White neighborhoods.4

Despite the evidence that asthma self-management interventions improve asthma morbidity,5-8 rigorous studies of asthma self-management interventions in high risk minority populations are lacking. In addition, the actual mechanism of how to induce behavioral change for improved disease management remains poorly understood. Asthma knowledge is important for effective self management9 but alone is insufficient to change behavior.10-11 Self-efficacy, or the belief that one will be effective at performing a behavior or mechanical skill, is theorized to be an important requisite for health behavioral change in asthma.12-14

The Chicago Initiative to Raise Asthma Health Equity (CHIRAH) investigators designed this community-based intervention specifically to improve asthma self-efficacy in an understudied high risk population. We describe the intervention development process, the pilot behavioral randomized controlled trial that tested the intervention, and the intervention impact on asthma self-efficacy for African American adults with poorly controlled persistent asthma. We also explore the influence of the intervention on asthma self-management behaviors and clinical outcomes, and the relationship between changes in asthma self-efficacy and these outcomes.

Methods

Intervention Development

The intervention was informed by self-efficacy and social learning theory14 in which social/group persuasion, peer modeling, and repeated practice build self-efficacy. We chose group education sessions because peer-led group sessions focusing on adaptive behaviors in chronic conditions have been shown to decrease hospital visits and improve self-efficacy in a well-educated, insured adult population.15-16 We selected a social worker to lead these group sessions based on outcomes from the National Cooperative Inner-City Asthma Study (NCICAS).17 We also included a community health worker (CHW) component because CHW interventions have shown improved asthma outcomes in minority populations.18-21

The CHIRAH intervention was developed using focus groups and several pilot attempts which resulted in modifications to the intervention prior to conducting the final pilot. The first pilot, conducted from August of 2004 to January of 2005, consisted of sessions led by a former teacher who was certified to deliver the Lorig curriculum of chronic disease self-management through the established 24 hour training.15-16 Focus groups with participants (n=12) confirmed that the group format provided support for behavioral change, but they also showed that participants maintained a deficit in asthma-specific knowledge which might interfere with active self-management of their condition. We then conducted a second pilot, a randomized controlled trial of the modified intervention, which started February of 2006 but was prematurely stopped in April of 2006. The second pilot intervention consisted of 6 group sessions and 8 CHW home visits. The group sessions combined asthma-specific self-management skills with sessions to enhance asthma knowledge. Home visits from CHWs were designed to tailor the intervention to the needs of each participant. Participants included African American adults with asthma and parents of children with asthma (n=47) recruited from the larger CHIRAH cohort. This effort was stopped prematurely because of low attendance at group sessions and difficulty scheduling home visits. Debriefing with the intervention team suggested that financial compensation for participants' time and effort was necessary, the intervention was too complex, and it required an unrealistic time commitment from participants. Concerns were raised that participants lacked a common bond, thus the group sessions were “convening strangers”, and that this inhibited more active participation. Finally, the CHWs expressed their belief that some participants were apprehensive about meeting the CHWs for the first time in their homes.

This feedback resulted in further modifications to the intervention which was tested with the final randomized controlled trial. The final intervention consisted of 4 group sessions and 4-6 CHW home visits. Recruitment and group sessions took place in primary care clinics which provided a familiar shared social context. Home visits began after a social bond had been allowed to develop between participants and CHWs at a group session. The intervention integrated environmental restructuring, problem-solving, and asthma-related goal-setting as mechanisms for improving self-management skills.

The institutional review boards of Northwestern University, the Cook County Bureau of Health Services, Rush University Medical Center, and the University of Illinois at Chicago approved all study activities.

Recruitment and Randomization

Recruitment occurred between September and November of 2006. Participants were eligible if they were: 1) between the ages of 18 and 50 years, 2) diagnosed with persistent asthma (defined as > 2 days bothered by asthma symptoms on recall of past 14 days and 1 or more urgent care or emergency room visit or requirement for oral corticosteroid in the past 12 months), 3) not currently pregnant, and 4) residing within the target clinic area. Potential participants were identified by two primary care clinics using pharmacy records and chronic disease registries. Clinic staff contacted patients to assess interest in the study. Patients who gave permission to be contacted were then called by a study research assistant who performed eligibility screening over the telephone and obtained verbal consent. Written consent and Health Insurance Portability and Accountability Act authorization were obtained at the first group session or the research assistant went to the home. Randomization was done in pairs (intervention – control) and in 2 groups representing the clinics (Arcus QuickStat Biomedical. Research Solutions. Cambridge, UK).

Intervention Staff Training

Three CHWs were trained to establish relationships with participants, successfully implement home visits, and teach basic asthma facts, skills and self-management techniques. The social worker was trained to effectively lead self management group sessions and to supervise the CHWs. The CHWs and social worker each completed a total of 113 hours of training which included formal asthma courses from the American Lung Association, specific training by investigators, and hands-on experience in asthma education in an asthma clinic. Before starting the intervention, CHWs were evaluated by study investigators using a standardized role play to determine their achievement of the study objectives and readiness for the field. The social worker, CHWs, and investigators met weekly throughout the study implementation phase to review objectives, discuss participant progress, and review documentation.

Intervention Content

A detailed description of the final intervention curriculum is provided in the Online Repository. Four different group sessions were offered over a 12 week period. Group sessions, which averaged 2 hours each, were held on Saturdays at the two recruitment clinics. The larger clinic site offered each group session in the morning and repeated them in the afternoon. The smaller group site offered the same sessions on alternating Saturdays in the morning only. The group sessions were led by the social worker, with the CHWs and a member of the study team in attendance. Breakfast or lunch was provided and participants received $25 for attending.

Concurrently, the CHWs planned 6 home visits with each intervention participant, although 4 visits were considered sufficient if the participant demonstrated acceptable content mastery in all subject areas. Home visits included a general assessment of the participant's asthma status and support system and then addressed general asthma facts, controller medications, spacers, inhaler technique, symptom monitoring, communication with providers, asthma triggers, and cigarette smoke avoidance. The content of home visits was flexible and responsive to the participants' asthma-related needs, while reinforcing content that was presented in the group sessions. Participants received $10 by mail following each home visit. The intervention did not involve any direct communication between the intervention team and the participants' primary care physicians or clinics, although CHWs did encourage proactive communications between study participants and their health care providers.

Control group

The control group received two mailings during the three month study period. The mailings consisted of the same asthma education information presented at group sessions for the intervention participants. Control group participants received a $30 check in the mail following the second mailing as compensation for their time.

Instruments

A telephone survey (average length 37 minutes) was administered to participants at baseline, at 3 months and then at 6 months. We collected data on sociodemographic characteristics, comorbidities, personal and family asthma history, asthma knowledge, and social desirability.22 Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression scale (CES-D).23-24 Asthma self-management behavior variables were defined as inhaled corticosteroid use, use of a spacer, and receipt of asthma action plans from a doctor. (Participants in both study groups were encouraged to request these from their providers.) Clinical outcomes were defined as asthma quality of life (measured using the 15 item Juniper Mini-Asthma Quality of Life Questionnaire, minimal clinically important difference 0.5),25 day and night symptoms, and health service use. Coping, a construct related to self-efficacy, was measured using the Coping Orientations to Problems Experienced Scale (COPE)26 which measures subjects' perceived ability to incorporate several strategies to successfully deal with general problems in life. Six items from this scale were chosen for use based on their favorable psychometric properties in this population.27

Development of Asthma Self-efficacy Measure

A pulmonologist, two allergists, two pediatricians, a medical sociologist, and a health psychologist used an iterative process to identify 21 items with strong face validity for assessing asthma self-efficacy, adapted from existing self-efficacy scales.28-31 A factor analysis with varimax rotation identified 5 underlying dimensions of asthma self-efficacy: managing an acute attack (6 items), asthma control (5 items), emotions and environment (4 items), doctor relationship (4 items), and regular controller medicine use (1 item). For each of the multi-item dimensions, items had factor loadings of at least 0.40. The reliability coefficients (Cronbach's alpha) ranged from 0.77 to 0.82, indicating strong internal reliability. A total self-efficacy score was calculated by averaging the scores for the 5 dimensions. The final instrument is available in the Online Repository.

Analysis

We planned for a total sample size of 40 to 50 subjects, which provided over 80 percent power to detect an effect size of 1.0 standard deviation units or greater in our primary outcome of asthma self-efficacy (assuming a two-sided alpha of 5 percent). We anticipated that this pilot study would be underpowered to detect small differences in asthma self-management behaviors and clinical outcomes.

In small studies, baseline balance between intervention and control groups cannot be guaranteed by randomization. Therefore, we controlled for all potential confounders measured at baseline where there was at least modest evidence (P < 0.3) for unequal distribution between groups using a propensity score method.32-33 We used the propensity score as a continuous covariate in regression models when appropriate or as a trichotomized score to capture nonlinear relationships.33

Bivariate analyses were performed using Fisher's exact test for categorical variables and 2-sided Wilcoxon tests for continuous variables, as appropriate. Regression models were used to assess for differences in study groups at 3 months and 6 months of follow-up for all outcomes, controlling for the propensity score and baseline values. A linear regression model was used for the primary outcome of total self-efficacy score and its 5 dimensions. A logistic regression model was used for dichotomous outcomes while a negative binomial model was used for count data. No adjustments were made for multiple comparisons.

Results

Participant Characteristics

The two clinics generated a list of 107 patients with asthma: 39 were not eligible for the study, 14 could not be reached, 10 declined, and 2 withdrew before randomization. Forty-two patients were randomized. The study ran from November of 2006 to March of 2007. Follow-up data were missing for 6 participants (14%) at 3 months (2 intervention; 4 control) and 4 participants (10%) at 6 months (1 intervention; 3 control).

Table 1 displays the baseline sociodemographic characteristics of participants in the two groups. Despite randomization, the two groups differed on several characteristics, including education level and household income. Table 2 describes the baseline clinical characteristics and demonstrates that most participants had poorly controlled persistent asthma. More than half the participants had been admitted to a hospital for asthma (over a quarter to an intensive care unit), most had been prescribed oral corticosteroids in the past, and over half had required urgent medical care for a severe asthma exacerbation in the last 6 months. Most baseline clinical characteristics were similar between groups, except for perceived general health. Both groups had significant depressive symptoms.

Table 1. Sociodemographic characteristics of study participants at baseline.

Variables Control
(n=22)
Intervention
(n=20)
P value
Age, mean±SD (range) 37±8 (21–50) 33±9 (18–50) 0.24
Women (%) 17 (77) 12 (60) 0.32
Black/African American (%) 19 (86) 20 (100) 0.23
Education (%) 0.04
 Some high school 9 (41) 4 (20)
 High school graduate/GED 3 (14) 10 (50)
 More than high school 10 (45) 6 (30)
Household Income, annual (%)* 0.03
 < $15,000 13 (59) 4 (20)
 $15,000-$30,000 5 (23) 7 (35)
 > $30,000 4 (18) 5 (25)
Lives with spouse/partner (%) 10 (45) 6 (30) 0.35
Home Ownership (%) 0.52
 Own 3 (14) 2 (10)
 Rent 16 (73) 12 (60)
 Lives with friends 3 (14) 6 (30)
Health Insurance (%) 0.06
 Medicaid 15 (68) 11 (55)
 Private 3 (14) 0 (0)
 No insurance 4 (18) 9 (45)
*

Four (20%) intervention group participants were unable to answer household income.

Table 2. Clinical characteristics of study participants at baseline.

Control
(n=22)
Intervention
(n=20)
P value
General health (%) * 0.04
 Excellent or Very Good 2 (9) 4 (20)
 Good 5 (23) 9 (45)
 Fair or Poor 15 (68) 7 (35)
Current smoker (%) 8 (36) 4 (20) 0.32
Depressive symptoms, mean (SD) 22 (14) 17 (14) 0.28
Asthma history
 Admitted to hospital for asthma (%) 14 (64) 13 (65) 1.0
 In intensive care for asthma (%) 6 (27) 7 (35) 0.74
 Prescribed oral corticosteroids for asthma (%) 18 (82) 14 (70) 0.48
 At least one exacerbation requiring urgent medical care in past 6 months (%) 15 (68) 12 (60) 0.75
Asthma medications (%)
 Inhaled corticosteroids 17 (77) 14 (70) 0.43
 Short-acting B2-agnoist § 21 (95) 19 (95) 0.73
 Ipratropium bromide 2 (9) 1 (5) 0.54
 Salmeterol 3 (14) 2 (10) 0.55
Asthma self-efficacy, mean (SD)
 Total summary score 4.0 (0.7) 4.0 (0.6) 0.62
 Managing an acute attack 4.0 (0.8) 4.0 (0.8) 0.79
 Asthma control 3.9 (1.1) 4.2 (0.7) 0.60
 Remembering daily controller 4.4 (1.0) 4.1 (1.0) 0.16
 Managing emotions/environment 3.5 (1.0) 3.4 (1.1) 0.92
 Doctor relationship 4.1 (0.9) 4.3 (0.8) 0.40
*

From the MOS 36-item Short-Form Health Survey48

Clinical Epidemiologic Survey of Depression (CES-D)23-24 Scores above 15 have been shown to reflect clinically significant symptoms of depression.49

Includes flunisolide, triamcinolone acetonide, fluticasone propionate, beclomethasone dipropionate, and salmeterol/fluticasone dipropionate

§

Includes inhaled or nebulized albuterol and levalbuterol

Self-efficacy scores range from 1-5; higher is better

Despite these asthma history profiles, study participants reported relatively high asthma self-efficacy at baseline, with mean total scores of 4 (possible range: 1 to 5; higher is better) (Table 2).

Intervention “Dose” Received

Seventy percent of the intervention group (N=20) attended 2 or more group sessions; 20% attended all 4. Attendance was highest at the first session (60%) and then decreased (45% for the last session). The average number of home visits was 4. Nine participants (45%) had 6 home visits, while 2 (10%) had none. Home visits lasted an average of 57 minutes, ranging from 20 minutes to 2.5 hours. CHWs reported covering all the required areas of asthma education, with the most emphasis on controller medications and taking medications correctly (details in the Online Repository). They also reported that over half of visits specifically targeted the self-management skills of self-monitoring and problem solving.

In the control group, two packets of education materials were returned with no forwarding address.

Primary Outcome: Asthma Self-Efficacy

At the completion of the intervention period (3 month follow-up), self-efficacy increased in the intervention group and either remained the same or decreased in the control group, controlling for baseline self-efficacy and other baseline characteristics (Figure). The adjusted difference in the total summary self-efficacy score between the two groups was 0.8 (P < 0.001, 95% CI 0.4,1.3). Similar differences were noted for the 5 self-efficacy dimensions separately (all P < 0.05). The self-efficacy scores increased or remained stable in the intervention group at the 6 month follow-up while the scores of the control group increased, resulting in a loss of statistical significance between the groups except for self-efficacy in “managing an acute attack” (P = 0.02).

Figure. Asthma self-efficacy total and dimension scores at baseline, intervention completion (3 months), and follow-up (6 months).

Figure

Notes: Self-efficacy scores range from 1-5; higher is better. Baseline scores are adjusted for propensity score. 3 and 6 month scores are adjusted for baseline score and propensity score.

* = P < 0.01, † = P < 0.05

Secondary Outcomes: Asthma Behaviors and Clinical Outcomes (Table 3)

Table 3. Asthma behavioral and clinical outcomes at baseline, and associations between receipt of intervention and outcomes at completion of intervention (3 months) and follow-up (6 months).

Intervention Completion (3 months) Follow-up Completion (6 months)
Unadjusted Baseline P value Adjusted Associations * Adjusted Associations *
Asthma self-management behaviors Control n=22
Intervention n=20 Odds Ratio (95% CI) Odds Ratio (95% CI)

Have a spacer Control: 12 (55%) 0.76 16.9 (0.5, 556.8) 40.7 (0.3, 4792.2)
Intervention: 12 (60%)

Received action plan from doctor Control: 7 (32%) 1.0 14.3 (0.9, 224) 4.6 (0.5, 40.6)
Intervention: 6 (30%)

Number of times used inhaled steroids in past 14 days Mean (SD) Adjusted difference (P value) Adjusted difference (P value)
Control: 10.0 (7.8) 0.21 3.5 (0.48) 4.4 (0.49)
Intervention: 6.6 (6.9)

Asthma clinical outcomes Mean (SD) Adjusted difference (P value) Adjusted difference (P value)

Asthma quality of life Control: 3.7 (1.5) 0.15 0.7 (0.27) 1.8 (0.002)
Intervention: 4.2 (1.2)

Symptomatic days over past 14 days Control: 5.5 (5.0) 0.40 -1.9 (0.27) -0.9 (0.68)
Intervention: 5.9 (4.2)

Symptomatic nights over past 14 days Control: 5.1 (4.8) 0.10 -1.8 (0.36) -1.5 (0.30)
Intervention: 2.5 (2.2)

Other Mean (SD) Adjusted difference (P value) Adjusted difference (P value)

Coping skills § Control: 3.1 (0.6) 0.61 0.2 (0.60) 0.7 (0.01)
Intervention: 2.9 (0.6)

Asthma knowledge Control: 7.0 (1.4) 0.46 -0.3 (0.71) 0.8 (0.31)
Intervention: 6.6 (1.5)
*

Analyses are adjusted for the baseline value of the outcome variable and the propensity score. Odds ratios describe the odds of the outcome in the intervention group compared to the odds in the control group. Adjusted differences refer to the values of the outcomes at the 3 or 6 month time point in the intervention group minus the associated values for the control group.

Participants interviewed at follow-up who reported not seeing a doctor were considered not to have gotten an action plan from their doctor.

Juniper Mini-Asthma Quality of Life Questionnaire, range 1-7, higher is better25

§

Coping Orientations to Problems Experienced Scale (COPE), range 1-6, higher is better26-27

Correct out of 10

A greater percentage of intervention participants had received an asthma action plan from their doctor at the 3 month follow-up. (Control group: 18%, Intervention group: 45%, P = 0.06) This difference was gone at the 6 month follow-up. (Control group: 23%, Intervention group: 20%, P = 0.17) Participants with a spacer did not differ at either follow-up. (3 month: Control group: 61%, Intervention group: 78%, P = 0.11. 6 month: Control group: 58%, Intervention group: 89%, P = 0.13.) Asthma quality of life was significantly better in the intervention group at the 6 month follow-up (adjusted difference: 1.8; 95% CI: 0.8, 2.9; P = 0.002). The intervention group reported higher coping skills (a concept related to self-efficacy) at the 6 month follow-up (adjusted difference: 0.7; 95% CI: 0.2, 1.2; P = 0.01). For other asthma clinical outcomes, the differences favored the intervention group but did not reach statistical significance.

Increases in asthma self-efficacy over the 6 month study were weakly associated with improvements in coping, increases in knowledge, change from no spacer to having a spacer, improvements in asthma quality of life, and reductions in day symptoms (P = 0.10-0.13). Changing from no action plan to having an action plan and changes in inhaled corticosteroid use were not associated with changes in asthma self-efficacy.

Discussion

In a pilot randomized controlled trial among low income African American adults with asthma, we demonstrated that our community-based asthma intervention was feasible, improved asthma self-efficacy, and improved some aspects of asthma self-management and quality of life.

Implementing this intervention was a tremendous challenge in an urban minority community setting where distrust of academic institutions and research is common.34-35 While the components of the intervention had been successful in other populations,15,18-19 we were unsure how they would perform in this urban minority community with low education levels, limited access to care, and poor housing conditions. Ultimately we found that the majority of participants participated in the group sessions and home visits, with slightly better adherence to home visits. Perhaps not unexpectedly, the greatest barrier to group session attendance was time, as participants frequently reported conflicts with work (qualitative data not detailed in this manuscript). The combination of group sessions and home visits allowed multiple venues for trust-building, education, and support, which is consistent with results of another multi-component intervention for African American children.36

This intervention was associated with a significant improvement in asthma self-efficacy immediately post-intervention. Self-efficacy, a person's confidence in being able to perform a specific behavior in a specific situation, is postulated to accrue through four mechanisms: 1) observation of role models, particularly peers; 2) progressive mastery through repeated efforts; 3) accurate, repetitive performance feedback; and 4) encouragement and support.14,37 For many chronic diseases, interventions targeting self-efficacy have improved health status.15,37-38 Among patients with asthma, low self-efficacy has been associated with worse pulmonary function and lower quality of life, possibly because of self-efficacy's relationship to emotional stress which in turn has direct adverse physiologic effects. 12-13 It is notable that these self-efficacy increases occurred despite striking levels of depressive symptoms among the participants. At the 6-month follow-up, there was no longer a significant difference in self-efficacy between study groups. Self-efficacy scores remained similar at 3 and 6 months follow-up for the intervention group. However, control group self-efficacy scores decreased at 3 months and then began to increase by 6 months. We suspect this initial drop in scores is due to a panel effect which is a phenomenon where initial responses are artificially inflated while subsequent responses are more accurate. This phenomenon has been described in the economic and social science literature,39 and was also documented in the longitudinal component of the CHIRAH observational study.40 It is also possible that the limited intervention received by the control group raised their awareness of their problems but did not provide them with skills to address these problems leading to decreased self-efficacy. This may have prompted them to ultimately seek assistance from other sources, improving their self-efficacy. Finally, control group participants may have benefited from the increased contract provided by the data collection calls. The stability in the intervention group at 6 months is notable since the intervention did not include a maintenance component which is usually necessary for sustaining changes over time.41-42

Self-efficacy models generally show that improved self-efficacy leads to behavior changes, which in turn improve clinical outcomes.12-14,43 This small trial was not powered to detect differences in self-management behaviors or clinical outcomes. While a slight increase was noted in receipt of action plans, intervention participants did not have significant improvements in the other self-management behaviors of controller medication use and spacer use. Changes in self-efficacy were marginally associated with changes in spacer use but not the other behaviors. It is possible these behaviors were not adequately measured by self-report. It may be that the intervention was not strong enough, the sample size was too small, or the study was not long enough to show an effect on behavior.

While behaviors did not change significantly, intervention participants were more likely to have better coping skills and report a meaningful increase in asthma quality of life. Symptom frequency was lower in the intervention group at follow-up, with an average difference of 1 or 2 symptomatic days or nights over the past 2 weeks. While this is not a statistically significant difference, the results from NCICAS demonstrating success of their intervention were primarily based on a difference in 2-week symptom frequency of only 0.6 days (95% CI: 0.2 to 0.9 days).17 Our exploratory analyses (not presented) also showed that improvements in total self-efficacy were associated with increases in quality of life, decreases in total symptoms, and reduced odds of exacerbations. Therefore, while behavior changes were not captured in this study, the results suggest that changes in asthma self-efficacy may influence important asthma outcomes.

There are some limitations worth noting. Self-efficacy instruments should be situation- and population-specific 14 which required the investigators to create a new instrument. Psychometric analyses were employed to ensure optimal scalar construction, however comparison of the results to other self-efficacy studies is limited. Responses to instrument items may reflect a ceiling effect since most scores were in the scale's upper range, or a Hawthorne effect because of the increased contact received by the intervention group. In addition, participant responses may reflect social desirability although we did control for that in the propensity score. Because of the high asthma morbidity in the study population, investigators prioritized the provision of service to both groups of participants. As such, those in the control group received a low intensity intervention which may result in a diminished ability to detect a difference between groups. Finally, the small sample size and single intervention community raise concerns about the play of chance and unique effects due to local social, environmental, and healthcare factors.

The experience of this trial suggests several next steps. Future intervention studies in communities with limited resources will likely need to continue providing a low level of intervention to controls to meet community ethical standards.44 This requires a strong intervention effect size. The intervention in this pilot could be strengthened by increasing the emphasis on behavior change skills. Objective measurements using medication actuators and home inspections would also be helpful. Future trials should include a larger sample size to ensure greater precision of results. Future research should also consider integrating the intervention with the emerging “patient centered medical home” (PCMH)45 approach to provide more comprehensive primary care.

Conclusions

Asthma exacerbations in the U.S. account for 4000 deaths, 500,000 hospitalizations, and 10 million missed days of work annually.46 To combat this terrific burden will require effective asthma management focused on reducing exposure to triggers, using appropriate controller medications, ongoing disease self-monitoring, and proactive partnerships with health care providers.47 We have described a feasible community-based asthma self-management intervention specifically targeted to the highest-risk population. These results support a larger efficacy trial to quantify the clinical benefits and costs in more diverse settings.

Supplementary Material

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Acknowledgments

Funding: NHLBI 1 U01 HL072496-05, PI: K Weiss and J Shannon

The authors gratefully acknowledge and thank the CHIRAH investigators on Research Aim 4 (James Moy, MD, and Joel Augustine, MD, at John H. Stroger, Jr., Hospital of Cook County; and Claire Kohrman, PhD); Laura Curtis, MS, at Northwestern University; the rest of the CHIRAH investigative team (Chih-Hung Chang, PhD, Leslie Grammer, MD, Northwestern University; Robert Cohen, MD, Laura Sadowski, MD, John H. Stroger, Jr., Hospital of Cook County; Terry Conway, MD, Cook County Bureau of Health; Ramon Durazo-Avizu, PhD, Loyola University; Linda Kimmel, PhD, Jon D. Miller, PhD, Michigan State University; Madeleine Shalowitz, MD, MBA, Evanston Northwestern Healthcare Research Institute); the Chicago Public and Archdioceses Schools; and the many families who participated in this project.

Special thanks go to: Lori Weiselberg, MPH (the original project director); research assistants Marjorie Charles Damte, RN, Kathleen Murray, MA, and Perdita Johnson; Computer Assisted Telephone Interview (CATI) Staff Robert Sprengel, Mary Marre, Pearl Burks, Carla Cowens; staff at the PCC Community Wellness Center and Austin Wellness Center; Bernadine Edwards (social worker); and Charlie Mae Norsworthy, Pat Perkins, and Lydia Williams (CHWs).

Abbreviations

CHW

community health worker

CHIRAH

Chicago Initiative to Raise Asthma Health Equity

NCICAS

National Cooperative Inner-City Asthma Study

PCAQ

Perceived Control of Asthma Questionnaire

PSS

Perceived Stress Scale

COPE

Coping Orientations of Problems Experienced Scale

CES-D

Center for Epidemiologic Studies Depression Scale

PCMH

Patient Centered Medical Home

Footnotes

Key Messages

• A behavioral randomized controlled pilot trial of a community intervention that includes home visits and group sessions is acceptable and feasible in this high-risk population.

• Asthma self-efficacy and asthma self-management skills can be improved in low income African-American adults with symptomatic asthma. These changes could result in reduced asthma morbidity.

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Contributor Information

Molly A. Martin, Rush University Medical Center.

Catherine D. Catrambone, Rush University College of Nursing.

Romina A. Kee, John H. Stroger, Jr. Hospital of Cook County.

Arthur T. Evans, John H. Stroger, Jr. Hospital of Cook County.

Lisa K. Sharp, University of Illinois at Chicago

Christopher Lyttle, Northwestern University.

Cheryl Rucker-Whitaker, Rush University Medical Center.

Kevin B. Weiss, Northwestern University.

John Jay Shannon, John H. Stroger, Jr. Hospital of Cook County.

References

  • 1.Weiss KB, Wagener DK. Geographic variations in US asthma mortality: small area analysis of excess mortality, 1981-1985. Am J Epidemiol. 1990;132:S107–S115. doi: 10.1093/oxfordjournals.aje.a115771. [DOI] [PubMed] [Google Scholar]
  • 2.Weiss KB, Wagener DK. Changing patterns of asthma mortality: Identifying target populations at high risk. JAMA. 1990;264:1683–1687. [PubMed] [Google Scholar]
  • 3.Thomas SD, Whitman S. Asthma hospitalizations and mortality in Chicago. Chest. 1999;116:135–141S. doi: 10.1378/chest.116.suppl_2.135s. [DOI] [PubMed] [Google Scholar]
  • 4.Naureckas ET, Thomas S. Are we closing the disparities gap? Small-area analysis of asthma in Chicago. Chest. 2007;132:858S–865S. doi: 10.1378/chest.07-1913. [DOI] [PubMed] [Google Scholar]
  • 5.Guevara JP, Wolf FM, Grum CM, Clark NM. Effects of educational interventions for self management of asthma in children and adolescents: systemic review and meta-analysis. BMJ. 2003;326:1308–9. doi: 10.1136/bmj.326.7402.1308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wolf FM, Guevara JP, Grum CM, Clark NM, Cates CJ. Educational interventions for asthma in children. Cochrane Database Syst Rev. 2003;1:CD000326. doi: 10.1002/14651858.CD000326. [DOI] [PubMed] [Google Scholar]
  • 7.Bravata DM, Sundaram V, Lewis R, Gienger A, Gould MK, McDonald KM, Wise PH, Holty JEC, Hertz K, Paguntalan H, Sharp C, Kim J, Wang E, Chamberlain L, Shieh L, Owens DK. Asthma Care. In: Shojania KG, McDonald KM, Wachter RM, Owens DK, editors. Closing the Quality Gap: A Critical Analysis of Quality Improvement Strategies. Vol. 5. Rockville, MD: Agency for Healthcare Research and Quality; Jan, 2007. Technical Review 9 (Prepared by the Stanford University-UCSF Evidence-based Practice Center under Contract No. 290-02-0017). AHRQ Publication No. 04(07)-0051-5. [PubMed] [Google Scholar]
  • 8.Smith JR, Mugford M, Holland R, Candy B, Noble MJ, Harrison BD, et al. A systematic review to examine the impact of psycho-educational interventions on health outcomes and costs in adults and children with difficult asthma. Health Technol Assess. 2005;9:1–182. doi: 10.3310/hta9230. [DOI] [PubMed] [Google Scholar]
  • 9.van der Palen J, Klein JJ, Seydel ER. Are high generalised and asthma-specific self-efficacy predictive of adequate self-management behaviour among adult asthma patients? Patient Educ Couns. 1997;32:S35–41. doi: 10.1016/s0738-3991(97)00094-3. [DOI] [PubMed] [Google Scholar]
  • 10.Gibson PG, Powell H, Coughlan J, Wilson AJ, Hensley MJ, Abramson M, et al. Limited (information only) patient education programs for adults with asthma. Cochrane Database Syst Rev. 2002;(2):CD001005. doi: 10.1002/14651858.CD001005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kolbe J, Vamos M, Fergusson W, Elkind G, Garrett J. Differential influences on asthma self-management knowledge and self-management behavior in acute severe asthma. Chest. 1996;110:1463–8. doi: 10.1378/chest.110.6.1463. [DOI] [PubMed] [Google Scholar]
  • 12.Mancuso C, Rincon M, McCulloch C, Charlson M. Self-Efficacy, Depressive Symptoms, and Patients' Expectations Predict Outcomes in Asthma. Med Care. 2001;39:1326–1338. doi: 10.1097/00005650-200112000-00008. [DOI] [PubMed] [Google Scholar]
  • 13.Campbell TS, Lavoie KL, Bacon SL, Scharf D, Aboussafy D, Ditto B. Asthma self-efficacy, high frequency heart rate variability, and airflow obstruction during negative affect in daily life. Int J Psychophysiol. 2006;62:109–14. doi: 10.1016/j.ijpsycho.2006.02.005. [DOI] [PubMed] [Google Scholar]
  • 14.Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84:191–215. doi: 10.1037//0033-295x.84.2.191. [DOI] [PubMed] [Google Scholar]
  • 15.Lorig KR, Ritter P, Stewart AL, Sobel DS, Brown BW, Jr, Bandura A, et al. Chronic disease self-management program 2-year health status and health care utilization outcomes. Med Care. 2001;39:1217–1223. doi: 10.1097/00005650-200111000-00008. [DOI] [PubMed] [Google Scholar]
  • 16.Lorig KR, Sobel DS, Stewart AL, Brown BW, Jr, Bandura A, Ritter P, et al. Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial. Med Care. 1999;37:5–14. doi: 10.1097/00005650-199901000-00003. [DOI] [PubMed] [Google Scholar]
  • 17.Evans R, 3rd, Gergen PJ, Mitchell H, Kattan M, Kercsmar C, Crain E, et al. A randomized clinical trial to reduce asthma morbidity among inner-city children: Results of the National Cooperative Inner-City Asthma Study. J Pediatr. 1999;135:332–338. doi: 10.1016/s0022-3476(99)70130-7. [DOI] [PubMed] [Google Scholar]
  • 18.Stout JW, White LC, Rogers LT, McRorie T, Morray B, Miller-Ratcliffe M, et al. The asthma outreach project: a promising approach to comprehensive asthma management. J Asthma. 1998;35:119–127. doi: 10.3109/02770909809055413. [DOI] [PubMed] [Google Scholar]
  • 19.Krieger JW, Takaro TK, Song L, Weaver M. The Seattle-King Healthy Homes Project: A randomized, controlled trial of a community health worker intervention to decrease exposure to indoor asthma triggers. Am J Public Health. 2005;95:652–659. doi: 10.2105/AJPH.2004.042994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Butz AM, Malveaux FJ, Eggleston P, Thompson L, Schneider S, Weeks K, et al. Use of community health workers with inner-city children who have asthma. Clin Pediatr. 1994;33:135–141. doi: 10.1177/000992289403300302. [DOI] [PubMed] [Google Scholar]
  • 21.Baier C, Grant EN, Daugherty SR, Eckenfels EJ. The Henry Horner pediatric asthma program. Chest. 1999;116:204S–206S. doi: 10.1378/chest.116.suppl_2.204s. [DOI] [PubMed] [Google Scholar]
  • 22.Personal communication with Kevin B Weiss. Northwestern University; Mar 14, 2008. Details of instruments are part of the CHIRAH design paper which is under preparation. [Google Scholar]
  • 23.Radloff LS. The CES-D Scale: A Self-Report Depression Scale for Research in the General Population. Applied Psychological Measurement. 1977;1:385–401. [Google Scholar]
  • 24.Radloff LS, Locke BZ. The Community Mental Health Assessment Survey and the CES-D Scale. In: Weissman MM, Myers JK, Ross CE, editors. Community Surveys of Psychiatric Disorders. New Brunswick, NJ: Rutgers University Press; 1986. pp. 177–89. [Google Scholar]
  • 25.Juniper EF, Guyatt GH, Cox FM, Ferrie PJ, King DR. Development and validation of the Mini Asthma Quality of Life Questionnaire. Eur Respir J. 1999;14:32–38. doi: 10.1034/j.1399-3003.1999.14a08.x. [DOI] [PubMed] [Google Scholar]
  • 26.Carver CS. You want to measure coping but your protocol's too long: Consider the Brief COPE. Int J Behav Med. 1997;4:92–100. doi: 10.1207/s15327558ijbm0401_6. [DOI] [PubMed] [Google Scholar]
  • 27.Unpublished data from Linda Kimmel, PhD, at Northwestern University, and Arthur Evans, MD at John H. Stroger Jr. Hospital of Cook County: Confirmatory factor analysis was used to reduce the COPE instrument to 6 items. September 27, 2007, and October 30, 2008.
  • 28.Bursch B, Schwankovsky L, Gilbert J, Zeiger R. Construction and validation of four childhood self-management scales: Parent barriers, child and parent self-efficacy, and parent belief in treatment efficacy. J Asthma. 1999;36:115–128. doi: 10.3109/02770909909065155. [DOI] [PubMed] [Google Scholar]
  • 29.Wigal JK, Stout C, Brandon M, Winder JA, McConnaughy K, Creer TL, et al. The knowledge, attitude, and self-efficacy asthma questionnaire. Chest. 1993;104:1144–1148. doi: 10.1378/chest.104.4.1144. [DOI] [PubMed] [Google Scholar]
  • 30.Anderson RM, Fitzgerald JT, Gruppen LD, Funnell MM, Oh MS. The Diabetes Empowerment Scale-Short Form (DES-SF) Diabetes Care. 2003;26:1641–2. doi: 10.2337/diacare.26.5.1641-a. [DOI] [PubMed] [Google Scholar]
  • 31.Anderson RM, Funnell MM, Fitzgerald JT, Marrero DG. The Diabetes Empowerment Scale: a measure of psychosocial self-efficacy. Diabetes Care. 2000;23:739–43. doi: 10.2337/diacare.23.6.739. [DOI] [PubMed] [Google Scholar]
  • 32.Braitman LE, Rosenbaum PR. Rare outcomes, common treatments: analytic strategies using propensity scores. Ann Intern Med. 2002;137:693–696. doi: 10.7326/0003-4819-137-8-200210150-00015. [DOI] [PubMed] [Google Scholar]
  • 33.D'Agostino RB. Propensity score methods for bias reduction in the comparison of treatment to a non-randomized control group. Statist Med. 1998;17:2265–2281. doi: 10.1002/(sici)1097-0258(19981015)17:19<2265::aid-sim918>3.0.co;2-b. [DOI] [PubMed] [Google Scholar]
  • 34.Corbie-Smith G, Thomas SB, St George DM. Distrust, race, and research. Arch Intern Med. 2002;162:2458–63. doi: 10.1001/archinte.162.21.2458. [DOI] [PubMed] [Google Scholar]
  • 35.Freimuth VS, Quinn SC, Thomas SB, Cole G, Zook E, Duncan T. African Americans' views on research and the Tuskegee Syphilis Study. Soc Sci Med. 2001;52:797–808. doi: 10.1016/s0277-9536(00)00178-7. [DOI] [PubMed] [Google Scholar]
  • 36.Fisher EB, Struck RC, Sussman LK, Sykes RK, Walker MS. Community organization to reduce the need for acute care for asthma among African American children in low-income neighborhoods: the Neighborhood Asthma Coalition. Pediatrics. 2004;114:116–123. doi: 10.1542/peds.114.1.116. [DOI] [PubMed] [Google Scholar]
  • 37.Lenker S, Lorig K, Gallager D. Reasons for the lack of association between changes in health behavior and improved health status: an exploratory study. Patient Educ Couns. 1984;6:69–72. doi: 10.1016/0738-3991(84)90036-3. [DOI] [PubMed] [Google Scholar]
  • 38.Guendelman S, Meade K, Benson M, Chen YQ, Samuels S. Improving asthma outcomes and self-management behaviors of inner-city children. Arch Pediatr Adolesc Med. 2002;156:114–120. doi: 10.1001/archpedi.156.2.114. [DOI] [PubMed] [Google Scholar]
  • 39.Duncan GJ, Kalton D. Issues of design and analysis across time. International Statistical Review. 1987;55:97–117. [Google Scholar]
  • 40.Unpublished manuscript by Miller JD, Evans A, Kimmel LG, Sharp L. The measurement of asthma burden: Magnitude and implications of panel effects in a seven-wave asthma study
  • 41.Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346:393–403. doi: 10.1056/NEJMoa012512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Mendes de Leon CF, Czajkowski SM, Freedland KE, Bang H, Powell LH, Wu C, Burg MM, et al. The effect of a psychosocial intervention and quality of life after acute myocardial infarction: the Enhancing Recovery in Coronary Heart Disease (ENRICHD) clinical trial. J Cardiopulm Rehabil. 2006;26:9–13. 43. doi: 10.1097/00008483-200601000-00002. [DOI] [PubMed] [Google Scholar]
  • 43.Glanz K, RImer BK, Lewis FM. Health Behaviors and Health Education; Theory, Research, and Practice. Third. San Francisco, CA: Jossey-Bass; 2002. pp. 45–66. [Google Scholar]
  • 44.Krieger JK, Takaro TK, Allen C, Song L, Weaver M, Chai S, Dickey P. The Seattle-King County healthy homes project: implementation of a comprehensive approach to improving indoor environmental quality for low-income children with asthma. Environ Health Perspect. 2002;110(S2):311–22. doi: 10.1289/ehp.02110s2311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.American Academy of Family Physicians, American Academy of Pediatrics, American College of Physicians, American Osteopathic Association. Joint Principles of the Patient-Centered Medical Home. [8/25/08];2007 March; www.medicalhomeinfo.org/Joint%20Statement.pdf.
  • 46.Akinbami L. National Center for Health Statistics; Asthma Prevalence, Health Care Use and Mortality: United States, 2003-5. [cited 2/8/08] Available at http://www.cdc.gov/nchs/products/pubs/pubd/hestats/ashtma03-05/asthma03-05.htm. [PubMed] [Google Scholar]
  • 47.Expert Panel Report 3. Guidelines for Diagnosis and Management of Asthma. National Asthma Education and Prevention Program. 2007 [cited 10/2/07] Available from www.nhlbi.nih.gov/guidelines/asthma.
  • 48.McHorney CA, Ware JE, Jr, Lu JF, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32:40–66. doi: 10.1097/00005650-199401000-00004. [DOI] [PubMed] [Google Scholar]
  • 49.Schulberg HC, Saul M, McClelland M, Ganguli M, Christy W, Frank R. Assessing depression in primary medical and psychiatric practices. Arch Gen Psychiatry. 1985;42:1164–70. doi: 10.1001/archpsyc.1985.01790350038008. [DOI] [PubMed] [Google Scholar]

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