Using Information Technology to Improve Asthma Adherence

Not Applicable

Completed

Conditions: Asthma
Patient Compliance

Interventions: Behavioral: Feedback of patient adherence information
Behavioral: Active control group

Registration Number: NCT00459368

Lead Sponsor: Henry Ford Health System

Brief Summary: The purpose of this study is to determine whether providing patient medication adherence information on inhaled corticosteroid use to clinicians will result in improved patient adherence and asthma control.

Detailed Description: In 2001 an estimated 31.1 million people in the United States reported ever having had an asthma diagnosis. Asthma is a leading cause of preventable hospitalizations, and it accounts for an estimated 14 million days of missed school and 100 million days of restricted activity yearly.

The routine use of anti-inflammatory medications, particularly inhaled corticosteroids (ICS), in the treatment of asthma can markedly improve symptoms and reduce complications. Yet, evidence suggests that these medications are under-prescribed by physicians and poorly taken by patients. For example, in one study of asthma patients enrolled in a large, California HMO only 71.7% of patients with severe symptoms reported having a steroid inhaler, and only 53.6% of those reported using it daily in the preceding month. Using electronic monitoring devices to record inhaler use, researchers have estimated that patients use their ICS as directed 20 to 73% of the time. Using claims-based measures of adherence we have shown that adherence to inhaled steroids is inversely correlated with the frequency of oral steroid use and asthma-related emergency room visits. In addition, these measures suggest that non-adherence to ICS is an independent predictor of asthma-related hospitalizations. In our study population, we estimated that 60% of asthma-related hospitalizations were attributable to poor adherence to ICS. Together these findings suggest that increasing ICS use may improve asthma outcomes.

Studies employing health-behavioral models of adherence suggest that medication adherence is associated with treatment-related concerns regarding complications, efficacy, and benefits. Unfortunately, the results of behavioral and educational interventions to improve adherence have been disappointing. Despite, in some cases, considerable time spent with patients, these interventions have at best resulted in modest adherence improvements. Given the time, training, and resources required to implement these interventions, they are unlikely to be widely adopted in the clinical setting. Some recent studies, however, suggest that providing adherence data to clinicians may improve patient adherence. In one, clinicians gave repeated feedback to patients regarding ICS adherence; this resulted in sustained improvements over the study period. Unfortunately, this small study did not find differences in asthma outcomes.

In this proposal we seek to test an asthma adherence intervention specifically designed for use in the clinical setting. Adherence measures will be generated by linking currently available electronic data. In this cluster-randomized trial, primary care physician-practice groups will be randomized to receive asthma medication adherence information electronically for patients with asthma associated with these practices. In addition to ICS adherence information, clinicians in intervention practices will have data on patient beta-agonist use to better tailor ICS therapy to disease severity.

Eligible patients with asthma will be identified prior to randomizing practices and will be invited to participate. Patient surveys will be sent in the pre-intervention survey and in the post-intervention period. Patient-level outcomes will be assessed through the medical record, patient surveys, and claims data.

We will perform an intention-to-treat analysis with all eligible patients identified pre-randomization included in the analysis (the primary analysis). This study is powered to allow for only 60% of the eligible patient population being seen within the first 6-months (i.e., no effect in 40% of the patient population). As a secondary analysis, we will perform a modified intention-to-treat (or per protocol) analysis, whereby we will analyze the results of only those patients in both study arms seen within the first 6-months of the intervention.

Recruitment & Eligibility

Status: COMPLETED

Sex: All

Target Recruitment: 2698

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type: INTERVENTIONAL

Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
I	Feedback of patient adherence information	In this cluster-randomized trial physicians practicing at intervention clinic sites will receive adherence information on their patients with asthma who are currently taking an inhaled corticosteroid medication. This information will be available to them via our electronic prescribing software to discuss with patients at the time of the visit. Physicians at these sites also receive standardized training in how to interpret and intervene when poor adherence is identified.
II	Active control group	Physician practicing at control sites are given standard training in how to intervene on poor adherence, but no patient adherence information is provided to these clinicians via electronic prescribing software.

Primary Outcome Measures

Name	Time	Method
Patient Adherence to Inhaled Corticosteroids (ICS)	1 year	Adherence to ICS medication was measured during the last 3 months of the intervention (i.e., for the time period of 9-12 months post-randomization). Adherence was measured using pharmacy claims data, and represents the percent of prescribed medication taken. The normal range for this value is 0-100%.

Secondary Outcome Measures

Name	Time	Method
Asthma-related Emergency Room Visits	1 year
Asthma-related Hospitalizations	1 year
Oral Steroid Use	1 year
Patient Self-efficacy to ICS Treatment	survey following intervention period
Readiness to Improve ICS Adherence (Transtheoretical Model)	survey following intervention period
Patient-physician Communication (Patient Reported Measure)	survey following intervention period
Patient Medical Care Costs	1 year