Use and impact of an automated telephone outreach system for asthma in a managed care setting.

OBJECTIVE: To test the ability of an automated telephone outreach intervention to reduce acute healthcare utilization and improve quality of life among adult asthma patients in a large managed care organization. STUDY DESIGN: Randomized clinical trial. METHODS: Patients with persistent asthma were randomly assigned to telephone outreach (automated = 3389, live caller = 192) or usual care (n = 3367). Intervention participants received 3 outreach calls over a 10-month period. The intervention provided brief, supportive information and flagged individuals with poor asthma control for follow-up by a provider. A survey was mailed to 792 intervention participants and 236 providers after the intervention. Additional feedback was obtained as part of the final intervention contact. RESULTS: The intent-to-treat analysis found no significant differences between the intervention and usual-care groups for medication use, healthcare utilization, asthma control, or quality of life. Post hoc analyses found that, compared with the control group, individuals who actually participated in the intervention were significantly more likely to use inhaled steroids and to have had a routine medical visit for asthma during the follow-up period and less likely to use short-acting beta-agonists. They also reported higher satisfaction with their asthma care and better asthma-specific quality of life. Of surveyed providers, 59% stated the program helped them to clinically manage their asthma patients and 70% thought the program should be continued. CONCLUSIONS: This study did not find improved health outcomes in the primary analyses. The intervention was well accepted by providers, however, and the individuals who participated in the calls appeared to have benefited from them. These findings suggest that further studies of automated telephone outreach interventions seem warranted.

Gender differences in asthma management and quality of life.

We mailed a survey to a sample of adults with persistent asthma to assess gender differences in asthma management and quality of life. Women were more likely to regularly use a peak flow meter, have a regular clinician for their asthma care, and to have a written asthma management plan. No gender differences in self-reported asthma severity were observed, and men and women ranked their knowledge and confidence in their self-management skills similarly. Women reported significantly worse health status than men, but the differences observed were small and were attenuated after adjusting for socioeconomic status, smoking, body mass index, and comorbid illness.

A randomized clinical trial of peak flow versus symptom monitoring in older adults with asthma.

OBJECTIVE: To determine whether peak flow monitoring has value above and beyond symptom monitoring when used as part of an asthma management plan. METHODS: From a large managed-care organization, 296 adults, aged 50-92 yr, were recruited and randomly assigned in equal numbers to either use of symptoms or peak flow rate (twice daily or "as needed") for asthma monitoring, and monitored every 6 mo for 2 yr. Interventions were delivered in four 90-min small-group classes and included a personalized action plan and coaching in proper use of asthma inhalers. RESULTS: We found no significant differences between peak flow rate and symptom monitoring, or between twice-daily and as-needed peak flow monitoring in the primary or secondary study outcomes: health care utilization (acute, nonacute, or total asthma visits), Asthma Quality-of-Life Questionnaire (AQLQ) scores, and lung function. AQLQ scores and prebronchodilator FEV1 increased significantly for both groups between baseline and 6 mo (AQLQ: mean, 0.4 units; 95% confidence interval, 0.3, 0.5; p < 0.0001; FEV1% predicted: mean, 4%). Inhaler technique improved substantially in both groups. CONCLUSIONS: Peak flow monitoring has no advantage over symptom monitoring as an asthma management strategy for older adults with moderate-severe asthma when used in a comprehensive asthma management program. Improved outcomes in both groups suggest that understanding proper medication use, regular monitoring of asthma status, and understanding how to respond to changes are of primary importance.

Incidence of work-related asthma in members of a health maintenance organization.

OBJECTIVE: The objective of this study was to evaluate work-related asthma among health maintenance organization (HMO) members. Recent reports suggest that the incidence of work-related asthma may be much higher than Sentinel Event Notification Systems for Occupational Risks (SENSOR) data estimate. METHODS: Using the HMO's electronic medical record, we identified 1,747 persons with evidence of new or recurrent asthma. Interviews with 352 of them elicited information about workplace exposures, symptoms, and home environment. Industrial hygienists rated the potential asthmagenicity of the respondents' work environments. RESULTS: Based on the industrial hygienist ratings and self-reported work-relatedness of asthma symptoms, we classified 33% of those interviewed as having potentially work-related asthma, suggesting an overall work-related asthma incidence/recurrence rate of 28 cases per 10,000. CONCLUSIONS: The contribution of occupation to the occurrence of adult onset asthma may be much higher than typically suggested in the literature.

Incidence of Churg-Strauss syndrome in asthma drug users: a population-based perspective.

OBJECTIVE: To estimate the incidence of Churg-Strauss syndrome (CSS) among a large population of asthma drug users. METHODS: A retrospective study was conducted among patients who had been dispensed asthma drugs at 3 managed care organizations. Adults who received >or =3 dispensings of an asthma drug during any consecutive 12-month period between January 1, 1995 and June 30, 2000 were identified. Information on patient age, gender, enrollment status, asthma drugs dispensed, and inpatient and outpatient diagnoses and procedures was obtained from automated databases. Chart reviews were performed on persons identified by combinations of diagnostic and billing codes indicative of CSS. A rheumatologist reviewed abstracted information on all subjects; those who met >or =2 American College of Rheumatology criteria for CSS were reviewed by 2 clinical experts. Each clinical expert independently rated the cases; disagreements were resolved by consensus. Cases classified as having "probable/definite" CSS were included in these analyses. The incidence of CSS was estimated overall and according to patient gender, age, and calendar year. RESULTS: From a population of 184,667 asthma drug users contributing 606,184 person-years of exposure, 21 incident cases of CSS were identified (overall incidence of 34.6 per million person-years; 95% confidence interval 21.4 to 53.0). Incidence rates did not differ by gender and age group. The incidence rates for 1995, 1996, 1997, 1998, 1999, and the first 6 months of 2000 were 0, 22, 52, 75, 14, and 14 per million person-years respectively. CONCLUSIONS: Results from this population-based study suggest a somewhat lower incidence of CSS in asthma drug users than previously reported and provides important information as to the risk of developing CSS from a population-based perspective.

Identification of patients with Churg-Strauss syndrome (CSS) using automated data.

PURPOSE: Our aim was to identify individuals with Churg-Strauss syndrome (CSS) among asthma drug users, based on patterns of diagnostic and procedural codes (termed 'algorithms') contained in automated claims data. METHODS: A retrospective study was conducted among patients who had been dispensed asthma drugs at three HMOs. Individuals who received > or =3 dispensings of an asthma drug during any consecutive 12-month period beginning 1 January 1994 through 20 June 2000 were identified. Information on patient age, gender, enrollment status, asthma drugs dispensed, inpatient and outpatient diagnoses and procedures were obtained from the HMO automated databases. Twelve combinations of diagnostic and billing codes ('algorithms') were developed using the claims data to identify potential cases of CSS. Chart reviews blinded to drug exposure were performed using a standardized abstraction form. A rheumatologist reviewed abstracted information on all subjects, and those who met two or more American College of Rheumatology (ACR) criteria for CSS were further reviewed by two clinical experts. Cases were classified as unlikely, possible, or probable/definite CSS. Each clinical expert independently rated the cases; disagreements were resolved by consensus. RESULTS: A total of 185 604 patients who had been dispensed asthma drugs were identified. Three hundred fifty subjects were selected for chart review, and 15 were classified as having 'probable/definite' CSS. The algorithms that were most successful in identifying patients with CSS were as follows: (1) two or more codes for vasculitis (13 confirmed cases from 129 reviewed; positive predictive value 10%); (2) codes for both vasculitis and neurologic symptoms (6 confirmed cases from 15 reviewed; positive predictive value 40%) and (3) codes for both eosinophilia and vasculitis (4 confirmed cases from 5 reviewed; positive predictive value 80%). CONCLUSION: Automated claims data can be used to identify patients with CSS. This approach can facilitate better epidemiologic study of the risk factors for the condition.

Searching multiple clinical information systems for longer time periods found more prevalent cases of asthma.

OBJECTIVE: The development of a reliable asthma registry is an important first step for conducting population-based asthma disease management. This study developed a computerized algorithm for defining prevalent asthma, identified operational difficulties, and summarized data on asthma prevalence in the study population. STUDY DESIGN AND SETTING: As part of a study of the incidence of occupational asthma, we used the electronic databases of a large health maintenance organization to develop a computerized algorithm for defining prevalent asthma and validated it against chart review. The predictive values of eight health care utilization profiles were validated by chart review to establish the algorithm. RESULTS: The 1-year treated prevalence of asthma was 4.1% among members aged 15-55; the pharmacy database identified 61% of cases, and the outpatient care database 66%. Extending the outpatient care window from 1 year to 2 years increased estimated prevalence to 5.3%, with 81% now found in the outpatient care database. CONCLUSION: This analysis illustrates the benefit of using multiple databases for more accurate enumeration of cases and the impact of extending the search in time. These results are useful for researchers who can use such databases in selecting algorithms to define and identify asthma for their own purposes.

Association of asthma control with health care utilization: a prospective evaluation.

Population-based disease management should be enhanced by good risk assessment models and instruments. We prospectively evaluated the ability of a simple measure of short-term asthma control (scored 0 to 4) to predict asthma 12-mo health care utilization (HCU). A total of 5,172 adult asthma patients completed a brief questionnaire in fall 1997 to assess current level of asthma control. We then evaluated HCU for calendar year 1998. Ninety-three percent had health plan eligibility in 1998 and were included in this analysis. Both acute and routine asthma utilization increased with increasing numbers of asthma control problems. Rates of acute care episodes were 3.5 (95% confidence interval [CI] = 2.9, 4.3) times more likely for those with 3 to 4 control problems versus those with no control problems. Lesser, but statistically significant, increases were seen for those with two (relative risk [RR] = 1.7, 95% CI = 1.4, 2.2) or one (RR = 1.4, 95% CI = 1.1, 1.8) control problems. These patterns were similar for men and women, and diminished with increasing age. The asthma control index contributed significantly to prospective prediction models even after adjusting for administrative data such as medication use and prior HCU. These data reinforce the usefulness of measures of short-term asthma control both for the individual clinician and for those interested in population-based asthma management.